diff --git a/Tutorials/Model_Agnostic_Analysis.ipynb b/Tutorials/Model_Agnostic_Analysis.ipynb
index 73630385..be67f945 100644
--- a/Tutorials/Model_Agnostic_Analysis.ipynb
+++ b/Tutorials/Model_Agnostic_Analysis.ipynb
@@ -2,19 +2,15 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "metadata": {
-    "editable": true,
-    "slideshow": {
-     "slide_type": ""
-    },
-    "tags": []
-   },
+   "id": "389cc0a0",
+   "metadata": {},
    "source": [
     "# Model Agnostic Analysis"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "10d7e1b9",
    "metadata": {},
    "source": [
     "## Introduction\n",
@@ -43,6 +39,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "c2773cd4",
    "metadata": {},
    "source": [
     "## Example"
@@ -50,6 +47,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "574324c3",
    "metadata": {},
    "source": [
     "### Introduction"
@@ -57,6 +55,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "0839d2d1",
    "metadata": {},
    "source": [
     "This example uses an example analysis, shows how the this might be done in a traditional, model specific, manner, and then implements the same analysis in a model agnostic way.\n",
@@ -67,1846 +66,2416 @@
   {
    "cell_type": "code",
    "execution_count": 1,
+   "id": "f80b0190",
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline\n",
+    "import intake\n",
     "\n",
-    "import cosima_cookbook as cc\n",
-    "import matplotlib.pyplot as plt\n",
-    "import xarray as xr\n",
     "import numpy as np\n",
+    "import xarray as xr\n",
     "import cf_xarray as cfxr\n",
+    "import cf_xarray.units\n",
     "import pint_xarray\n",
     "from pint import application_registry as ureg\n",
-    "import cf_xarray.units\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
     "import cmocean as cm\n",
     "import cartopy.crs as ccrs\n",
     "import cartopy.feature as cft"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "cf_xarray works best when xarray keeps attributes by default."
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "xr.set_options(keep_attrs=True);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Load a dataset using COSIMA Cookbook, so first open a session to the default database"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "session = cc.database.create_session()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now load surface temperature data from a 0.25$^\\circ$ global MOM5 model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "experiment = '025deg_jra55v13_iaf_gmredi6'\n",
-    "variable = 'surface_temp'\n",
-    "SST = cc.querying.getvar(experiment, variable, session, frequency='1 monthly', n=12)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This is a 3D dataset in latitude, longitude and time:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
+   "id": "10f4ff36-56c3-4f1c-924e-f081e55e5ba3",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01/lib/python3.10/site-packages/distributed/node.py:182: UserWarning: Port 8787 is already in use.\n",
+      "Perhaps you already have a cluster running?\n",
+      "Hosting the HTTP server on port 33913 instead\n",
+      "  warnings.warn(\n"
+     ]
+    },
     {
      "data": {
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+       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-16ff82d8-4d69-11ef-ba6b-00000080fe80</p>\n",
+       "        <table style=\"width: 100%; text-align: left;\">\n",
+       "\n",
+       "        <tr>\n",
+       "        \n",
+       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
+       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
+       "        \n",
+       "        </tr>\n",
+       "\n",
+       "        \n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Dashboard: </strong> <a href=\"/proxy/33913/status\" target=\"_blank\">/proxy/33913/status</a>\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\"></td>\n",
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+       "        \n",
+       "\n",
+       "        </table>\n",
+       "\n",
+       "        \n",
+       "            <button style=\"margin-bottom: 12px;\" data-commandlinker-command=\"dask:populate-and-launch-layout\" data-commandlinker-args='{\"url\": \"/proxy/33913/status\" }'>\n",
+       "                Launch dashboard in JupyterLab\n",
+       "            </button>\n",
+       "        \n",
+       "\n",
+       "        \n",
+       "            <details>\n",
+       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
+       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
+       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
+       "    </div>\n",
+       "    <div style=\"margin-left: 48px;\">\n",
+       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">865be40a</p>\n",
+       "        <table style=\"width: 100%; text-align: left;\">\n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Dashboard:</strong> <a href=\"/proxy/33913/status\" target=\"_blank\">/proxy/33913/status</a>\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Workers:</strong> 48\n",
+       "                </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Total threads:</strong> 48\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Total memory:</strong> 188.55 GiB\n",
+       "                </td>\n",
+       "            </tr>\n",
+       "            \n",
+       "            <tr>\n",
+       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
+       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
+       "</tr>\n",
+       "\n",
+       "            \n",
+       "        </table>\n",
+       "\n",
+       "        <details>\n",
+       "            <summary style=\"margin-bottom: 20px;\">\n",
+       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
+       "            </summary>\n",
+       "\n",
+       "            <div style=\"\">\n",
+       "    <div>\n",
+       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
+       "        <div style=\"margin-left: 48px;\">\n",
+       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
+       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-b954c268-665e-4779-aa11-8ad22323f12f</p>\n",
+       "            <table style=\"width: 100%; text-align: left;\">\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Comm:</strong> tcp://127.0.0.1:38515\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Workers:</strong> 48\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Dashboard:</strong> <a href=\"/proxy/33913/status\" target=\"_blank\">/proxy/33913/status</a>\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Total threads:</strong> 48\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Started:</strong> Just now\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Total memory:</strong> 188.55 GiB\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    <details style=\"margin-left: 48px;\">\n",
+       "        <summary style=\"margin-bottom: 20px;\">\n",
+       "            <h3 style=\"display: inline;\">Workers</h3>\n",
+       "        </summary>\n",
+       "\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:43349\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/45633/status\" target=\"_blank\">/proxy/45633/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:44415\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-e9xzfs_h\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
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+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:46871\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/35959/status\" target=\"_blank\">/proxy/35959/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:37767\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-2wtyb8_d\n",
+       "                        </td>\n",
+       "                    </tr>\n",
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+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:40255\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/39353/status\" target=\"_blank\">/proxy/39353/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:37625\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-j7obqlqs\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
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+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:34273\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/45295/status\" target=\"_blank\">/proxy/45295/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:33493\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-eecovloy\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:34043\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/37223/status\" target=\"_blank\">/proxy/37223/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:38363\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-0e3qfto9\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:43465\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/42477/status\" target=\"_blank\">/proxy/42477/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:40175\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-pokek01m\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 6</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:44799\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/36593/status\" target=\"_blank\">/proxy/36593/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:35507\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-tau7jhoc\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 7</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:40603\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/43419/status\" target=\"_blank\">/proxy/43419/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:43631\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-_pwypxk5\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 8</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:36147\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/41631/status\" target=\"_blank\">/proxy/41631/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:42983\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-apf8s0v5\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 9</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:40125\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/36559/status\" target=\"_blank\">/proxy/36559/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:43359\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-qu_eaufk\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 10</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:32961\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/43479/status\" target=\"_blank\">/proxy/43479/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:39729\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-v6959hr9\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 11</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:36157\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/39071/status\" target=\"_blank\">/proxy/39071/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:37689\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-z6y059gw\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 12</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:46633\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/35059/status\" target=\"_blank\">/proxy/35059/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:41039\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-e6jxbigl\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 13</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:44585\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/44405/status\" target=\"_blank\">/proxy/44405/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:41439\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-xwubt9m0\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 14</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:40885\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/42745/status\" target=\"_blank\">/proxy/42745/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:44821\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-wwow5xwd\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 15</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:39431\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/44775/status\" target=\"_blank\">/proxy/44775/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:40289\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-avkafh0w\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 16</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:39093\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/37653/status\" target=\"_blank\">/proxy/37653/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:46685\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-zv268q3h\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 17</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:45483\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/34995/status\" target=\"_blank\">/proxy/34995/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:38485\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-fiuj05_t\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 18</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:41557\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/35015/status\" target=\"_blank\">/proxy/35015/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:39709\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-5bkvkvw9\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;surface_temp&#x27; (time: 288, yt_ocean: 1080, xt_ocean: 1440)&gt;\n",
-       "dask.array&lt;concatenate, shape=(288, 1080, 1440), dtype=float32, chunksize=(1, 540, 720), chunktype=numpy.ndarray&gt;\n",
-       "Coordinates:\n",
-       "  * xt_ocean  (xt_ocean) float64 -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
-       "  * yt_ocean  (yt_ocean) float64 -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
-       "  * time      (time) datetime64[ns] 1958-01-14T12:00:00 ... 1981-12-14T12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Conservative temperature\n",
-       "    units:          deg_C\n",
-       "    valid_range:    [-10. 500.]\n",
-       "    cell_methods:   time: mean\n",
-       "    time_avg_info:  average_T1,average_T2,average_DT\n",
-       "    coordinates:    geolon_t geolat_t\n",
-       "    ncfiles:        [&#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_i...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'surface_temp'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 288</li><li><span class='xr-has-index'>yt_ocean</span>: 1080</li><li><span class='xr-has-index'>xt_ocean</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7c31ed8d-165a-4410-a9d0-071dd54eeb18' class='xr-array-in' type='checkbox' checked><label for='section-7c31ed8d-165a-4410-a9d0-071dd54eeb18' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 540, 720), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 19</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
        "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:44843\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
        "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
        "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.67 GiB </td>\n",
-       "                        <td> 1.48 MiB </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/38085/status\" target=\"_blank\">/proxy/38085/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:43695\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
        "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-qcut6rab\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
        "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 20</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
        "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (288, 1080, 1440) </td>\n",
-       "                        <td> (1, 540, 720) </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:42035\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1152 chunks in 25 graph layers </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/39951/status\" target=\"_blank\">/proxy/39951/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:43275\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-oj2jxz8f\n",
+       "                        </td>\n",
        "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"204\" height=\"164\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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+       "                    \n",
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-       "  <line x1=\"34\" y1=\"24\" x2=\"34\" y2=\"114\" style=\"stroke-width:2\" />\n",
+       "                    \n",
        "\n",
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+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 21</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:42813\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/33329/status\" target=\"_blank\">/proxy/33329/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:41127\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-h0ib1fui\n",
+       "                        </td>\n",
+       "                    </tr>\n",
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-       "  <!-- Vertical lines -->\n",
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+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 22</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:41425\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/35289/status\" target=\"_blank\">/proxy/35289/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:46467\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-bkmqibg5\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
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+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 23</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:45289\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/39669/status\" target=\"_blank\">/proxy/39669/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:35499\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-qu9bh3jn\n",
+       "                        </td>\n",
+       "                    </tr>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-8b2c9a98-851d-4752-9c73-529cf5ab0f27' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8b2c9a98-851d-4752-9c73-529cf5ab0f27' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.9 -279.6 ... 79.62 79.88</div><input id='attrs-915df0f5-c4c5-42e6-8af0-104d5276e3be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-915df0f5-c4c5-42e6-8af0-104d5276e3be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-120cbd6a-f492-4e4c-acba-1bfea48b0c0e' class='xr-var-data-in' type='checkbox'><label for='data-120cbd6a-f492-4e4c-acba-1bfea48b0c0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-279.875, -279.625, -279.375, ...,   79.375,   79.625,   79.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.08 -80.97 ... 89.84 89.95</div><input id='attrs-9532aba3-3f87-40fa-9f32-8e992b6d6863' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9532aba3-3f87-40fa-9f32-8e992b6d6863' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0de71b16-fecc-4873-874e-0eb693b345f4' class='xr-var-data-in' type='checkbox'><label for='data-0de71b16-fecc-4873-874e-0eb693b345f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-81.077001, -80.971402, -80.865804, ...,  89.736085,  89.841684,\n",
-       "        89.947282])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1958-01-14T12:00:00 ... 1981-12-...</div><input id='attrs-36160b70-18c6-4690-b36e-fc2d19873b27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36160b70-18c6-4690-b36e-fc2d19873b27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ceabdb95-a402-4143-b7d1-ac46edc68b75' class='xr-var-data-in' type='checkbox'><label for='data-ceabdb95-a402-4143-b7d1-ac46edc68b75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>GREGORIAN</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1958-01-14T12:00:00.000000000&#x27;, &#x27;1958-02-13T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1958-03-14T12:00:00.000000000&#x27;, ..., &#x27;1981-10-14T12:00:00.000000000&#x27;,\n",
-       "       &#x27;1981-11-14T00:00:00.000000000&#x27;, &#x27;1981-12-14T12:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc29e893-f49b-441b-96db-08957b72b0e5' class='xr-section-summary-in' type='checkbox'  ><label for='section-bc29e893-f49b-441b-96db-08957b72b0e5' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-96bf09b7-10af-4075-969f-aabdd691e707' class='xr-index-data-in' type='checkbox'/><label for='index-96bf09b7-10af-4075-969f-aabdd691e707' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-279.875, -279.625, -279.375, -279.125, -278.875, -278.625,\n",
-       "              -278.375, -278.125, -277.875, -277.625,\n",
-       "              ...\n",
-       "                77.625,   77.875,   78.125,   78.375,   78.625,   78.875,\n",
-       "                79.125,   79.375,   79.625,   79.875],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-56fb4a43-75bf-4d05-9613-ba39cb6ac68f' class='xr-index-data-in' type='checkbox'/><label for='index-56fb4a43-75bf-4d05-9613-ba39cb6ac68f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -81.0770008338366,  -80.9714022446317,  -80.8658036554268,\n",
-       "               -80.7602050662219,   -80.654606477017,  -80.5490078878121,\n",
-       "               -80.4434092986072, -80.33781070940229, -80.23221212019739,\n",
-       "              -80.12661353099249,\n",
-       "              ...\n",
-       "                88.9968950242055,  89.10249361341039,  89.20809220261533,\n",
-       "               89.31369079182024,  89.41928938102512,  89.52488797023008,\n",
-       "                 89.630486559435,  89.73608514863992,  89.84168373784476,\n",
-       "               89.94728232704986],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;, length=1080))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d4226c14-e10d-4c30-b540-7693d296a8b1' class='xr-index-data-in' type='checkbox'/><label for='index-d4226c14-e10d-4c30-b540-7693d296a8b1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1958-01-14 12:00:00&#x27;, &#x27;1958-02-13 00:00:00&#x27;,\n",
-       "               &#x27;1958-03-14 12:00:00&#x27;, &#x27;1958-04-14 00:00:00&#x27;,\n",
-       "               &#x27;1958-05-14 12:00:00&#x27;, &#x27;1958-06-14 00:00:00&#x27;,\n",
-       "               &#x27;1958-07-14 12:00:00&#x27;, &#x27;1958-08-14 12:00:00&#x27;,\n",
-       "               &#x27;1958-09-14 00:00:00&#x27;, &#x27;1958-10-14 12:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;1981-03-14 12:00:00&#x27;, &#x27;1981-04-14 00:00:00&#x27;,\n",
-       "               &#x27;1981-05-14 12:00:00&#x27;, &#x27;1981-06-14 00:00:00&#x27;,\n",
-       "               &#x27;1981-07-14 12:00:00&#x27;, &#x27;1981-08-14 12:00:00&#x27;,\n",
-       "               &#x27;1981-09-14 00:00:00&#x27;, &#x27;1981-10-14 12:00:00&#x27;,\n",
-       "               &#x27;1981-11-14 00:00:00&#x27;, &#x27;1981-12-14 12:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=288, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2a28e976-7ef9-4e94-8ee9-71b29a0ed7af' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2a28e976-7ef9-4e94-8ee9-71b29a0ed7af' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Conservative temperature</dd><dt><span>units :</span></dt><dd>deg_C</dd><dt><span>valid_range :</span></dt><dd>[-10. 500.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>coordinates :</span></dt><dd>geolon_t geolat_t</dd><dt><span>ncfiles :</span></dt><dd>[&#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output001/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output002/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output003/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output004/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output005/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output006/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output007/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output008/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output009/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output010/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output011/ocean/ocean_month.nc&#x27;]</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'surface_temp' (time: 288, yt_ocean: 1080, xt_ocean: 1440)>\n",
-       "dask.array<concatenate, shape=(288, 1080, 1440), dtype=float32, chunksize=(1, 540, 720), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * xt_ocean  (xt_ocean) float64 -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
-       "  * yt_ocean  (yt_ocean) float64 -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
-       "  * time      (time) datetime64[ns] 1958-01-14T12:00:00 ... 1981-12-14T12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Conservative temperature\n",
-       "    units:          deg_C\n",
-       "    valid_range:    [-10. 500.]\n",
-       "    cell_methods:   time: mean\n",
-       "    time_avg_info:  average_T1,average_T2,average_DT\n",
-       "    coordinates:    geolon_t geolat_t\n",
-       "    ncfiles:        ['/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_i..."
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "SST"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Model specific"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "First do this as it might usually be done, in a model specific manner:\n",
-    "\n",
-    "1. Use the time coordinate name in the mean function\n",
-    "2. Subtract a hard-coded value to convert the temperature degrees celcius from degrees Kelvin (the meta-data says the units are `deg_C` but this is clearly incorrect)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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+       "                </table>\n",
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+       "            </div>\n",
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+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 24</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:46777\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/45895/status\" target=\"_blank\">/proxy/45895/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:37637\n",
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+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-77kdvgty\n",
+       "                        </td>\n",
+       "                    </tr>\n",
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-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;surface_temp&#x27; (yt_ocean: 1080, xt_ocean: 1440)&gt;\n",
-       "dask.array&lt;sub, shape=(1080, 1440), dtype=float32, chunksize=(540, 720), chunktype=numpy.ndarray&gt;\n",
-       "Coordinates:\n",
-       "  * xt_ocean  (xt_ocean) float64 -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
-       "  * yt_ocean  (yt_ocean) float64 -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
-       "Attributes:\n",
-       "    long_name:      Conservative temperature\n",
-       "    units:          deg_C\n",
-       "    valid_range:    [-10. 500.]\n",
-       "    cell_methods:   time: mean\n",
-       "    time_avg_info:  average_T1,average_T2,average_DT\n",
-       "    coordinates:    geolon_t geolat_t\n",
-       "    ncfiles:        [&#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_i...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'surface_temp'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>yt_ocean</span>: 1080</li><li><span class='xr-has-index'>xt_ocean</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3fab1b31-61b3-48c9-a995-e4cb94dedeb6' class='xr-array-in' type='checkbox' checked><label for='section-3fab1b31-61b3-48c9-a995-e4cb94dedeb6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(540, 720), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
        "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 25</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
        "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 5.93 MiB </td>\n",
-       "                        <td> 1.48 MiB </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:32947\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
        "                    </tr>\n",
-       "                    \n",
        "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (1080, 1440) </td>\n",
-       "                        <td> (540, 720) </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/35841/status\" target=\"_blank\">/proxy/35841/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 4 chunks in 32 graph layers </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:38625\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-jfuecwbq\n",
+       "                        </td>\n",
        "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"0\" y1=\"45\" x2=\"120\" y2=\"45\" />\n",
-       "  <line x1=\"0\" y1=\"90\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"90\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"90\" />\n",
-       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,90.0 0.0,90.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
-       "  <text x=\"140.000000\" y=\"45.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,45.000000)\">1080</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-3be4b1ea-e3dc-480d-93ff-650d6fb9830a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3be4b1ea-e3dc-480d-93ff-650d6fb9830a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.9 -279.6 ... 79.62 79.88</div><input id='attrs-d74cc591-a092-4340-9516-a831a0ccd550' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d74cc591-a092-4340-9516-a831a0ccd550' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb8f4041-2185-4a9a-a2bd-8ad8c697da15' class='xr-var-data-in' type='checkbox'><label for='data-eb8f4041-2185-4a9a-a2bd-8ad8c697da15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-279.875, -279.625, -279.375, ...,   79.375,   79.625,   79.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.08 -80.97 ... 89.84 89.95</div><input id='attrs-3b1a752f-517c-4682-b6e5-e73c47ab3d15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b1a752f-517c-4682-b6e5-e73c47ab3d15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d96085e0-7441-4022-bff9-8949199487ec' class='xr-var-data-in' type='checkbox'><label for='data-d96085e0-7441-4022-bff9-8949199487ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-81.077001, -80.971402, -80.865804, ...,  89.736085,  89.841684,\n",
-       "        89.947282])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad28608d-d998-4b8a-ae71-fec82f157b78' class='xr-section-summary-in' type='checkbox'  ><label for='section-ad28608d-d998-4b8a-ae71-fec82f157b78' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f0747147-3178-41aa-bd14-c947c3f19f06' class='xr-index-data-in' type='checkbox'/><label for='index-f0747147-3178-41aa-bd14-c947c3f19f06' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-279.875, -279.625, -279.375, -279.125, -278.875, -278.625,\n",
-       "              -278.375, -278.125, -277.875, -277.625,\n",
-       "              ...\n",
-       "                77.625,   77.875,   78.125,   78.375,   78.625,   78.875,\n",
-       "                79.125,   79.375,   79.625,   79.875],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d65e00ef-be27-43f1-b61e-3e6af3cb9056' class='xr-index-data-in' type='checkbox'/><label for='index-d65e00ef-be27-43f1-b61e-3e6af3cb9056' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -81.0770008338366,  -80.9714022446317,  -80.8658036554268,\n",
-       "               -80.7602050662219,   -80.654606477017,  -80.5490078878121,\n",
-       "               -80.4434092986072, -80.33781070940229, -80.23221212019739,\n",
-       "              -80.12661353099249,\n",
-       "              ...\n",
-       "                88.9968950242055,  89.10249361341039,  89.20809220261533,\n",
-       "               89.31369079182024,  89.41928938102512,  89.52488797023008,\n",
-       "                 89.630486559435,  89.73608514863992,  89.84168373784476,\n",
-       "               89.94728232704986],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;, length=1080))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-445b5a76-415f-4349-a7a0-a0f128fc6f28' class='xr-section-summary-in' type='checkbox'  checked><label for='section-445b5a76-415f-4349-a7a0-a0f128fc6f28' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Conservative temperature</dd><dt><span>units :</span></dt><dd>deg_C</dd><dt><span>valid_range :</span></dt><dd>[-10. 500.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>coordinates :</span></dt><dd>geolon_t geolat_t</dd><dt><span>ncfiles :</span></dt><dd>[&#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output001/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output002/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output003/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output004/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output005/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output006/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output007/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output008/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output009/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output010/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output011/ocean/ocean_month.nc&#x27;]</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'surface_temp' (yt_ocean: 1080, xt_ocean: 1440)>\n",
-       "dask.array<sub, shape=(1080, 1440), dtype=float32, chunksize=(540, 720), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * xt_ocean  (xt_ocean) float64 -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
-       "  * yt_ocean  (yt_ocean) float64 -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
-       "Attributes:\n",
-       "    long_name:      Conservative temperature\n",
-       "    units:          deg_C\n",
-       "    valid_range:    [-10. 500.]\n",
-       "    cell_methods:   time: mean\n",
-       "    time_avg_info:  average_T1,average_T2,average_DT\n",
-       "    coordinates:    geolon_t geolat_t\n",
-       "    ncfiles:        ['/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_i..."
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "SST_time_mean = SST.mean('time') - 273.15\n",
-    "SST_time_mean"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now plot the result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 864x432 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(12, 6))\n",
-    "ax = plt.axes(projection=ccrs.Robinson())\n",
-    "\n",
-    "SST_time_mean.plot(ax=ax,\n",
-    "                   x='xt_ocean', y='yt_ocean', \n",
-    "                   transform=ccrs.PlateCarree(),\n",
-    "                   vmin=-2, vmax=30, extend='both',\n",
-    "                   cmap=cm.cm.thermal)\n",
-    "\n",
-    "ax.coastlines();"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note that the arctic is not correctly respresented due to the 1D lat/lon coordinates not being correct in the tripole area. See the [Making Maps with cartopy Tutorial](https://cosima-recipes.readthedocs.io/en/latest/tutorials/Making_Maps_with_Cartopy.html#fixing-the-tripole) for more information."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Model agnostic"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now do the same calculation in a model agnostic manner"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For this data it is necessary to correct the units attribute first. This shouldn't be necessary if the metadata is correct"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "SST.attrs['units'] = 'K'"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now use `pint` to ensure this is in degrees C. Note that if the data was originally in degrees celcius this would be fine, it would do nothing. So this is a way of catering for any temperature units that are understood by `pint` in a transparent way. Note the call to `quantify` which invokes `pint`'s machinery to parse the units and allow unit conversions."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "SST = SST.pint.quantify().pint.to('C')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "}\n",
        "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 26</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:46723\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/34533/status\" target=\"_blank\">/proxy/34533/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:35381\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-0b6hivmm\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-obj-type,\n",
-       ".xr-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 27</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:46765\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/41797/status\" target=\"_blank\">/proxy/41797/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:35773\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-2xfce8s1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 28</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:46621\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/33849/status\" target=\"_blank\">/proxy/33849/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:41981\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-phmhlxei\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 29</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:43771\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/38833/status\" target=\"_blank\">/proxy/38833/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:43227\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-x0b_qpve\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 30</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:44515\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/42353/status\" target=\"_blank\">/proxy/42353/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:45241\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-zo14cwpu\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 31</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:37959\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/34445/status\" target=\"_blank\">/proxy/34445/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:38099\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-vj24dnz5\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 32</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:46425\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/34635/status\" target=\"_blank\">/proxy/34635/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:45229\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-du2dzsps\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 33</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:35669\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/36145/status\" target=\"_blank\">/proxy/36145/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:41453\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-0mrq5y5s\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 34</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:39329\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/37957/status\" target=\"_blank\">/proxy/37957/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:38401\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-qfinwnvb\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 35</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:45169\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/41569/status\" target=\"_blank\">/proxy/41569/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:32775\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-vbm0l7i7\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 36</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:39813\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/38487/status\" target=\"_blank\">/proxy/38487/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:39287\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-fj6t3aqn\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 37</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:33417\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/45355/status\" target=\"_blank\">/proxy/45355/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:34135\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-_ub_84yr\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 38</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:33491\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/41185/status\" target=\"_blank\">/proxy/41185/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:34513\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-0i8eks3q\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 39</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:38629\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/42029/status\" target=\"_blank\">/proxy/42029/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:40223\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-87pqxbdi\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 40</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:41135\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/42223/status\" target=\"_blank\">/proxy/42223/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:33295\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-gryisfke\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 41</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:44539\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/39021/status\" target=\"_blank\">/proxy/39021/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:33697\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-ripmfayi\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 42</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:35421\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/33005/status\" target=\"_blank\">/proxy/33005/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:40525\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-x65wxold\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
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-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
+       "                    \n",
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-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 43</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:42453\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/42765/status\" target=\"_blank\">/proxy/42765/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:38751\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-p9wqykv9\n",
+       "                        </td>\n",
+       "                    </tr>\n",
        "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
+       "                    \n",
        "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
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-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;surface_temp&#x27; (time: 288, yt_ocean: 1080, xt_ocean: 1440)&gt;\n",
-       "&lt;Quantity(dask.array&lt;truediv, shape=(288, 1080, 1440), dtype=float32, chunksize=(1, 540, 720), chunktype=numpy.ndarray&gt;, &#x27;degree_Celsius&#x27;)&gt;\n",
-       "Coordinates:\n",
-       "  * xt_ocean  (xt_ocean) float64 -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
-       "  * yt_ocean  (yt_ocean) float64 -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
-       "  * time      (time) datetime64[ns] 1958-01-14T12:00:00 ... 1981-12-14T12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Conservative temperature\n",
-       "    valid_range:    [-10. 500.]\n",
-       "    cell_methods:   time: mean\n",
-       "    time_avg_info:  average_T1,average_T2,average_DT\n",
-       "    coordinates:    geolon_t geolat_t\n",
-       "    ncfiles:        [&#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_i...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'surface_temp'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 288</li><li><span class='xr-has-index'>yt_ocean</span>: 1080</li><li><span class='xr-has-index'>xt_ocean</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d96be759-ecbb-480c-bcb1-2a422a8075db' class='xr-array-in' type='checkbox' checked><label for='section-d96be759-ecbb-480c-bcb1-2a422a8075db' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>[°C] dask.array&lt;truediv, shape=(288, 1080, 1440), dtype=float32, ch...</span></div><div class='xr-array-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 44</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
        "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:39763\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
        "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
        "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.67 GiB </td>\n",
-       "                        <td> 1.48 MiB </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/40705/status\" target=\"_blank\">/proxy/40705/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:35245\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-xzbz1qgt\n",
+       "                        </td>\n",
        "                    </tr>\n",
+       "\n",
        "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 45</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
        "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (288, 1080, 1440) </td>\n",
-       "                        <td> (1, 540, 720) </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:38791\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1152 chunks in 28 graph layers </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/41475/status\" target=\"_blank\">/proxy/41475/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:41629\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-eky6gpa0\n",
+       "                        </td>\n",
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+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 46</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:36809\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/37383/status\" target=\"_blank\">/proxy/37383/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:40709\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-thzb7q5x\n",
+       "                        </td>\n",
+       "                    </tr>\n",
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+       "                    \n",
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+       "                    \n",
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+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 47</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:43905\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"/proxy/35377/status\" target=\"_blank\">/proxy/35377/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 3.93 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:38393\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /jobfs/121939622.gadi-pbs/dask-scratch-space/worker-1dzo8gcq\n",
+       "                        </td>\n",
+       "                    </tr>\n",
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-       "  <text x=\"94.711700\" y=\"134.711700\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
-       "  <text x=\"174.711700\" y=\"69.711700\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,174.711700,69.711700)\">1080</text>\n",
-       "  <text x=\"12.355850\" y=\"122.355850\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,12.355850,122.355850)\">288</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></td></tr><tr><th>Units</th><td style='text-align:left;'>degree_Celsius</td></tr></tbody></table></div></div></li><li class='xr-section-item'><input id='section-5ff1063a-c6a8-49d6-b7c0-c633597bd8c8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5ff1063a-c6a8-49d6-b7c0-c633597bd8c8' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.9 -279.6 ... 79.62 79.88</div><input id='attrs-6d905cc1-b3c7-4a4a-a610-89ebe5a6316b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d905cc1-b3c7-4a4a-a610-89ebe5a6316b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5976b864-7c43-4051-be54-069dae761d7e' class='xr-var-data-in' type='checkbox'><label for='data-5976b864-7c43-4051-be54-069dae761d7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-279.875, -279.625, -279.375, ...,   79.375,   79.625,   79.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.08 -80.97 ... 89.84 89.95</div><input id='attrs-f77254b8-1997-45b1-9ac8-501853947aa5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f77254b8-1997-45b1-9ac8-501853947aa5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7622111-8aed-4df1-8210-4ec052d29152' class='xr-var-data-in' type='checkbox'><label for='data-c7622111-8aed-4df1-8210-4ec052d29152' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-81.077001, -80.971402, -80.865804, ...,  89.736085,  89.841684,\n",
-       "        89.947282])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1958-01-14T12:00:00 ... 1981-12-...</div><input id='attrs-839fe848-8aa5-444d-bd2e-700da9b62e6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-839fe848-8aa5-444d-bd2e-700da9b62e6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3977de57-dc8e-4d48-8925-94c9c950fbd2' class='xr-var-data-in' type='checkbox'><label for='data-3977de57-dc8e-4d48-8925-94c9c950fbd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>GREGORIAN</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1958-01-14T12:00:00.000000000&#x27;, &#x27;1958-02-13T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1958-03-14T12:00:00.000000000&#x27;, ..., &#x27;1981-10-14T12:00:00.000000000&#x27;,\n",
-       "       &#x27;1981-11-14T00:00:00.000000000&#x27;, &#x27;1981-12-14T12:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ea381fd-1876-41f0-a3f2-16e276803428' class='xr-section-summary-in' type='checkbox'  ><label for='section-6ea381fd-1876-41f0-a3f2-16e276803428' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3b20a4e0-ba1b-486a-bbbd-3dd78b104ce8' class='xr-index-data-in' type='checkbox'/><label for='index-3b20a4e0-ba1b-486a-bbbd-3dd78b104ce8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-279.875, -279.625, -279.375, -279.125, -278.875, -278.625,\n",
-       "              -278.375, -278.125, -277.875, -277.625,\n",
-       "              ...\n",
-       "                77.625,   77.875,   78.125,   78.375,   78.625,   78.875,\n",
-       "                79.125,   79.375,   79.625,   79.875],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-63ec751f-1f20-4552-ada2-7af862c5ee16' class='xr-index-data-in' type='checkbox'/><label for='index-63ec751f-1f20-4552-ada2-7af862c5ee16' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -81.0770008338366,  -80.9714022446317,  -80.8658036554268,\n",
-       "               -80.7602050662219,   -80.654606477017,  -80.5490078878121,\n",
-       "               -80.4434092986072, -80.33781070940229, -80.23221212019739,\n",
-       "              -80.12661353099249,\n",
-       "              ...\n",
-       "                88.9968950242055,  89.10249361341039,  89.20809220261533,\n",
-       "               89.31369079182024,  89.41928938102512,  89.52488797023008,\n",
-       "                 89.630486559435,  89.73608514863992,  89.84168373784476,\n",
-       "               89.94728232704986],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;, length=1080))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3bd96a9e-272c-42a2-94ec-973118c06538' class='xr-index-data-in' type='checkbox'/><label for='index-3bd96a9e-272c-42a2-94ec-973118c06538' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1958-01-14 12:00:00&#x27;, &#x27;1958-02-13 00:00:00&#x27;,\n",
-       "               &#x27;1958-03-14 12:00:00&#x27;, &#x27;1958-04-14 00:00:00&#x27;,\n",
-       "               &#x27;1958-05-14 12:00:00&#x27;, &#x27;1958-06-14 00:00:00&#x27;,\n",
-       "               &#x27;1958-07-14 12:00:00&#x27;, &#x27;1958-08-14 12:00:00&#x27;,\n",
-       "               &#x27;1958-09-14 00:00:00&#x27;, &#x27;1958-10-14 12:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;1981-03-14 12:00:00&#x27;, &#x27;1981-04-14 00:00:00&#x27;,\n",
-       "               &#x27;1981-05-14 12:00:00&#x27;, &#x27;1981-06-14 00:00:00&#x27;,\n",
-       "               &#x27;1981-07-14 12:00:00&#x27;, &#x27;1981-08-14 12:00:00&#x27;,\n",
-       "               &#x27;1981-09-14 00:00:00&#x27;, &#x27;1981-10-14 12:00:00&#x27;,\n",
-       "               &#x27;1981-11-14 00:00:00&#x27;, &#x27;1981-12-14 12:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=288, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-746c14eb-12c8-415c-9180-050d97ac0e1d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-746c14eb-12c8-415c-9180-050d97ac0e1d' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Conservative temperature</dd><dt><span>valid_range :</span></dt><dd>[-10. 500.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>coordinates :</span></dt><dd>geolon_t geolat_t</dd><dt><span>ncfiles :</span></dt><dd>[&#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output001/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output002/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output003/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output004/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output005/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output006/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output007/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output008/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output009/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output010/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output011/ocean/ocean_month.nc&#x27;]</dd></dl></div></li></ul></div></div>"
+       "    </div>\n",
+       "</div>"
       ],
       "text/plain": [
-       "<xarray.DataArray 'surface_temp' (time: 288, yt_ocean: 1080, xt_ocean: 1440)>\n",
-       "<Quantity(dask.array<truediv, shape=(288, 1080, 1440), dtype=float32, chunksize=(1, 540, 720), chunktype=numpy.ndarray>, 'degree_Celsius')>\n",
-       "Coordinates:\n",
-       "  * xt_ocean  (xt_ocean) float64 -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
-       "  * yt_ocean  (yt_ocean) float64 -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
-       "  * time      (time) datetime64[ns] 1958-01-14T12:00:00 ... 1981-12-14T12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Conservative temperature\n",
-       "    valid_range:    [-10. 500.]\n",
-       "    cell_methods:   time: mean\n",
-       "    time_avg_info:  average_T1,average_T2,average_DT\n",
-       "    coordinates:    geolon_t geolat_t\n",
-       "    ncfiles:        ['/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_i..."
+       "<Client: 'tcp://127.0.0.1:38515' processes=48 threads=48, memory=188.55 GiB>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "SST"
+    "from dask.distributed import Client\n",
+    "client = Client(threads_per_worker=1)\n",
+    "client"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "2ddd1407",
    "metadata": {},
    "source": [
-    "Now take the time mean, but this time use the `cf` accessor to automatically determine the name of the time dimension. `cf_xarray` checks the names of variables and coordinates, and associated metadata to try and infer information about the data based on the CF conventions.\n",
-    "\n",
-    "To see what `cf_xarray` information is available just evaluate the accessor:"
+    "cf_xarray works best when xarray keeps attributes by default."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 3,
+   "id": "8a97e6ff",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Coordinates:\n",
-       "- CF Axes: * X: ['xt_ocean']\n",
-       "           * Y: ['yt_ocean']\n",
-       "           * T: ['time']\n",
-       "             Z: n/a\n",
-       "\n",
-       "- CF Coordinates: * longitude: ['xt_ocean']\n",
-       "                  * latitude: ['yt_ocean']\n",
-       "                  * time: ['time']\n",
-       "                    vertical: n/a\n",
-       "\n",
-       "- Cell Measures:   area, volume: n/a\n",
-       "\n",
-       "- Standard Names:   n/a\n",
-       "\n",
-       "- Bounds:   n/a"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "SST.cf"
+    "xr.set_options(keep_attrs=True);"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "21848c2f-cb6d-42ab-bd87-8c1a18f6501c",
    "metadata": {},
    "source": [
-    "In this case it has found `X`, `Y` and `T` axes, and `longitude`, `latitude` and `time` axes. These are now accessible like a `dict` using the `cf` accessor. Note that this returns the actual coordinate, and many functions just want a simple string argument, which is the name of the coordinate.\n",
-    "\n",
-    "`cf_xarray` also wraps many standard xarray functions allowing `cf` names to be used, which are [automatically converted to the name in the data](https://cf-xarray.readthedocs.io/en/latest/examples/introduction.html#feature-rewriting-arguments). \n",
+    "We choose ACCESS-NRI default catalog."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "36c0c4df-aa45-48d4-a453-f4e78b738cd8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "catalog = intake.cat.access_nri"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c16c6272-dc11-444c-9fc9-6702b3c008d7",
+   "metadata": {},
+   "source": [
+    "And then select one experiment from that catalog and load surface temperature data from a 0.25$^\\circ$ global MOM5 model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "44448a2d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "experiment = '025deg_jra55_iaf_omip2_cycle6'\n",
+    "cat_subset = catalog[experiment]\n",
     "\n",
-    "The upshot: just use the `cf` accessor and then append the required function and use the standard CF coordinate name (in this case they are the same, `time`, but that is not guaranteed)"
+    "variable = 'sst'\n",
+    "var_search = cat_subset.search(variable=variable, frequency='1mon')\n",
+    "ds = var_search.to_dask()\n",
+    "SST = ds[variable]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f5bf699",
+   "metadata": {},
+   "source": [
+    "This is a 3D dataset in latitude, longitude and time:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 6,
+   "id": "9265b6b4",
    "metadata": {},
    "outputs": [
     {
@@ -2275,18 +2844,19 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;surface_temp&#x27; (yt_ocean: 1080, xt_ocean: 1440)&gt;\n",
-       "&lt;Quantity(dask.array&lt;mean_agg-aggregate, shape=(1080, 1440), dtype=float32, chunksize=(540, 720), chunktype=numpy.ndarray&gt;, &#x27;degree_Celsius&#x27;)&gt;\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (time: 732, yt_ocean: 1080, xt_ocean: 1440)&gt; Size: 5GB\n",
+       "dask.array&lt;concatenate, shape=(732, 1080, 1440), dtype=float32, chunksize=(1, 216, 240), chunktype=numpy.ndarray&gt;\n",
        "Coordinates:\n",
-       "  * xt_ocean  (xt_ocean) float64 -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
-       "  * yt_ocean  (yt_ocean) float64 -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
+       "  * xt_ocean  (xt_ocean) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
+       "  * yt_ocean  (yt_ocean) float64 9kB -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
+       "  * time      (time) datetime64[ns] 6kB 1958-01-14T12:00:00 ... 2018-12-14T12...\n",
        "Attributes:\n",
-       "    long_name:      Conservative temperature\n",
+       "    long_name:      Potential temperature\n",
+       "    units:          K\n",
        "    valid_range:    [-10. 500.]\n",
        "    cell_methods:   time: mean\n",
        "    time_avg_info:  average_T1,average_T2,average_DT\n",
-       "    coordinates:    geolon_t geolat_t\n",
-       "    ncfiles:        [&#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_i...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'surface_temp'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>yt_ocean</span>: 1080</li><li><span class='xr-has-index'>xt_ocean</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-29ca5789-f969-4f6c-ba21-402cf1900ec5' class='xr-array-in' type='checkbox' checked><label for='section-29ca5789-f969-4f6c-ba21-402cf1900ec5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>[°C] dask.array&lt;mean_agg-aggregate, shape=(1080, 1440), dtype=float...</span></div><div class='xr-array-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><table>\n",
+       "    standard_name:  sea_surface_temperature</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 732</li><li><span class='xr-has-index'>yt_ocean</span>: 1080</li><li><span class='xr-has-index'>xt_ocean</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-73622926-f6c9-4269-abda-53be667377fd' class='xr-array-in' type='checkbox' checked><label for='section-73622926-f6c9-4269-abda-53be667377fd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 216, 240), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2301,18 +2871,18 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 5.93 MiB </td>\n",
-       "                        <td> 1.48 MiB </td>\n",
+       "                        <td> 4.24 GiB </td>\n",
+       "                        <td> 202.50 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (1080, 1440) </td>\n",
-       "                        <td> (540, 720) </td>\n",
+       "                        <td> (732, 1080, 1440) </td>\n",
+       "                        <td> (1, 216, 240) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 4 chunks in 34 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 21960 chunks in 123 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -2322,211 +2892,181 @@
        "            </table>\n",
        "        </td>\n",
        "        <td>\n",
-       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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        "\n",
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-       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
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+       "  <text x=\"185.882353\" y=\"80.882353\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,185.882353,80.882353)\">1080</text>\n",
+       "  <text x=\"17.941176\" y=\"127.941176\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,17.941176,127.941176)\">732</text>\n",
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        "        </td>\n",
        "    </tr>\n",
-       "</table></td></tr><tr><th>Units</th><td style='text-align:left;'>degree_Celsius</td></tr></tbody></table></div></div></li><li class='xr-section-item'><input id='section-5ea948cd-1047-4801-80a1-9ad19eb4d8a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5ea948cd-1047-4801-80a1-9ad19eb4d8a4' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.9 -279.6 ... 79.62 79.88</div><input id='attrs-ccfcc0b4-e12f-4733-8290-9a7a189bb289' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccfcc0b4-e12f-4733-8290-9a7a189bb289' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d729f418-9766-4b68-bbf1-502312c92312' class='xr-var-data-in' type='checkbox'><label for='data-d729f418-9766-4b68-bbf1-502312c92312' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-279.875, -279.625, -279.375, ...,   79.375,   79.625,   79.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.08 -80.97 ... 89.84 89.95</div><input id='attrs-ffcd4f9e-bf57-480b-8b80-68df6cc05cc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffcd4f9e-bf57-480b-8b80-68df6cc05cc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8d688b1-224a-41bd-8ebe-a1e1b4c72c3b' class='xr-var-data-in' type='checkbox'><label for='data-e8d688b1-224a-41bd-8ebe-a1e1b4c72c3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-81.077001, -80.971402, -80.865804, ...,  89.736085,  89.841684,\n",
-       "        89.947282])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb7f6e1a-4b62-4dd3-bbe0-d4f7a2536d7f' class='xr-section-summary-in' type='checkbox'  ><label for='section-cb7f6e1a-4b62-4dd3-bbe0-d4f7a2536d7f' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-11aa9205-ad3b-45e7-9f5a-37a8bae91630' class='xr-index-data-in' type='checkbox'/><label for='index-11aa9205-ad3b-45e7-9f5a-37a8bae91630' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-279.875, -279.625, -279.375, -279.125, -278.875, -278.625,\n",
-       "              -278.375, -278.125, -277.875, -277.625,\n",
-       "              ...\n",
-       "                77.625,   77.875,   78.125,   78.375,   78.625,   78.875,\n",
-       "                79.125,   79.375,   79.625,   79.875],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b2c8b4f4-659e-433e-ac7f-3faf65922fcd' class='xr-index-data-in' type='checkbox'/><label for='index-b2c8b4f4-659e-433e-ac7f-3faf65922fcd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -81.0770008338366,  -80.9714022446317,  -80.8658036554268,\n",
-       "               -80.7602050662219,   -80.654606477017,  -80.5490078878121,\n",
-       "               -80.4434092986072, -80.33781070940229, -80.23221212019739,\n",
-       "              -80.12661353099249,\n",
-       "              ...\n",
-       "                88.9968950242055,  89.10249361341039,  89.20809220261533,\n",
-       "               89.31369079182024,  89.41928938102512,  89.52488797023008,\n",
-       "                 89.630486559435,  89.73608514863992,  89.84168373784476,\n",
-       "               89.94728232704986],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;, length=1080))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eebab117-cb89-4deb-b914-c8d02ef17608' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eebab117-cb89-4deb-b914-c8d02ef17608' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Conservative temperature</dd><dt><span>valid_range :</span></dt><dd>[-10. 500.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>coordinates :</span></dt><dd>geolon_t geolat_t</dd><dt><span>ncfiles :</span></dt><dd>[&#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output001/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output002/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output003/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output004/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output005/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output006/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output007/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output008/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output009/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output010/ocean/ocean_month.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output011/ocean/ocean_month.nc&#x27;]</dd></dl></div></li></ul></div></div>"
+       "</table></div></div></li><li class='xr-section-item'><input id='section-863751b2-026d-4d4a-bb43-b36362c73dab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-863751b2-026d-4d4a-bb43-b36362c73dab' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.9 -279.6 ... 79.62 79.88</div><input id='attrs-103780dc-656e-4cab-afb8-890c1e5aba5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-103780dc-656e-4cab-afb8-890c1e5aba5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32c4281f-bbdb-498b-bdb5-8f6720d74bbb' class='xr-var-data-in' type='checkbox'><label for='data-32c4281f-bbdb-498b-bdb5-8f6720d74bbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-279.875, -279.625, -279.375, ...,   79.375,   79.625,   79.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.08 -80.97 ... 89.84 89.95</div><input id='attrs-b90ab102-06b4-4040-9381-e0a0ad962563' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b90ab102-06b4-4040-9381-e0a0ad962563' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86d607d6-c680-402c-8366-a8138b4e0673' class='xr-var-data-in' type='checkbox'><label for='data-86d607d6-c680-402c-8366-a8138b4e0673' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-81.077001, -80.971402, -80.865804, ...,  89.736085,  89.841684,\n",
+       "        89.947282])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1958-01-14T12:00:00 ... 2018-12-...</div><input id='attrs-12f4ff20-12ce-44d6-a2b0-209ef82ac003' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12f4ff20-12ce-44d6-a2b0-209ef82ac003' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6e67e0c-a7a4-484a-b497-4a2793d7f2af' class='xr-var-data-in' type='checkbox'><label for='data-d6e67e0c-a7a4-484a-b497-4a2793d7f2af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>GREGORIAN</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1958-01-14T12:00:00.000000000&#x27;, &#x27;1958-02-13T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1958-03-14T12:00:00.000000000&#x27;, ..., &#x27;2018-10-14T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2018-11-14T00:00:00.000000000&#x27;, &#x27;2018-12-14T12:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e244138-2b5f-493e-9e11-56400633877b' class='xr-section-summary-in' type='checkbox'  ><label for='section-7e244138-2b5f-493e-9e11-56400633877b' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d9984b87-0141-4dc4-b7cf-8e7608ca4de1' class='xr-index-data-in' type='checkbox'/><label for='index-d9984b87-0141-4dc4-b7cf-8e7608ca4de1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-279.875, -279.625, -279.375, -279.125, -278.875, -278.625, -278.375,\n",
+       "       -278.125, -277.875, -277.625,\n",
+       "       ...\n",
+       "         77.625,   77.875,   78.125,   78.375,   78.625,   78.875,   79.125,\n",
+       "         79.375,   79.625,   79.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-483c6d58-1b11-43dd-94a2-565a6a940c5e' class='xr-index-data-in' type='checkbox'/><label for='index-483c6d58-1b11-43dd-94a2-565a6a940c5e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -81.0770008338366,  -80.9714022446317,  -80.8658036554268,\n",
+       "        -80.7602050662219,   -80.654606477017,  -80.5490078878121,\n",
+       "        -80.4434092986072, -80.33781070940229, -80.23221212019739,\n",
+       "       -80.12661353099249,\n",
+       "       ...\n",
+       "         88.9968950242055,  89.10249361341039,  89.20809220261533,\n",
+       "        89.31369079182024,  89.41928938102512,  89.52488797023008,\n",
+       "          89.630486559435,  89.73608514863992,  89.84168373784476,\n",
+       "        89.94728232704986],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;, length=1080))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c53a2fc1-e098-455d-9609-561f377e0cba' class='xr-index-data-in' type='checkbox'/><label for='index-c53a2fc1-e098-455d-9609-561f377e0cba' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1958-01-14 12:00:00&#x27;, &#x27;1958-02-13 00:00:00&#x27;,\n",
+       "               &#x27;1958-03-14 12:00:00&#x27;, &#x27;1958-04-14 00:00:00&#x27;,\n",
+       "               &#x27;1958-05-14 12:00:00&#x27;, &#x27;1958-06-14 00:00:00&#x27;,\n",
+       "               &#x27;1958-07-14 12:00:00&#x27;, &#x27;1958-08-14 12:00:00&#x27;,\n",
+       "               &#x27;1958-09-14 00:00:00&#x27;, &#x27;1958-10-14 12:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2018-03-14 12:00:00&#x27;, &#x27;2018-04-14 00:00:00&#x27;,\n",
+       "               &#x27;2018-05-14 12:00:00&#x27;, &#x27;2018-06-14 00:00:00&#x27;,\n",
+       "               &#x27;2018-07-14 12:00:00&#x27;, &#x27;2018-08-14 12:00:00&#x27;,\n",
+       "               &#x27;2018-09-14 00:00:00&#x27;, &#x27;2018-10-14 12:00:00&#x27;,\n",
+       "               &#x27;2018-11-14 00:00:00&#x27;, &#x27;2018-12-14 12:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=732, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3bccd42-7b00-4e45-a7a2-c5771936cfc4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e3bccd42-7b00-4e45-a7a2-c5771936cfc4' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Potential temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_range :</span></dt><dd>[-10. 500.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.DataArray 'surface_temp' (yt_ocean: 1080, xt_ocean: 1440)>\n",
-       "<Quantity(dask.array<mean_agg-aggregate, shape=(1080, 1440), dtype=float32, chunksize=(540, 720), chunktype=numpy.ndarray>, 'degree_Celsius')>\n",
+       "<xarray.DataArray 'sst' (time: 732, yt_ocean: 1080, xt_ocean: 1440)> Size: 5GB\n",
+       "dask.array<concatenate, shape=(732, 1080, 1440), dtype=float32, chunksize=(1, 216, 240), chunktype=numpy.ndarray>\n",
        "Coordinates:\n",
-       "  * xt_ocean  (xt_ocean) float64 -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
-       "  * yt_ocean  (yt_ocean) float64 -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
+       "  * xt_ocean  (xt_ocean) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
+       "  * yt_ocean  (yt_ocean) float64 9kB -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
+       "  * time      (time) datetime64[ns] 6kB 1958-01-14T12:00:00 ... 2018-12-14T12...\n",
        "Attributes:\n",
-       "    long_name:      Conservative temperature\n",
+       "    long_name:      Potential temperature\n",
+       "    units:          K\n",
        "    valid_range:    [-10. 500.]\n",
        "    cell_methods:   time: mean\n",
        "    time_avg_info:  average_T1,average_T2,average_DT\n",
-       "    coordinates:    geolon_t geolat_t\n",
-       "    ncfiles:        ['/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_i..."
+       "    standard_name:  sea_surface_temperature"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 6,
      "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "SST_time_mean = SST.cf.mean('time')\n",
-    "SST_time_mean"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Using the `cf_xarray` wrapped function makes the code more legible and easier to write, i.e.\n",
-    "```python\n",
-    "SST.cf.mean('time')\n",
-    "```\n",
-    "compared to\n",
-    "```python\n",
-    "SST.mean(SST.cf['time'].name)\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In the same way the `cf` accessor can be used in the plot and the CF names for latitude and longitude used as `x` and `y` arguments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(12, 6))\n",
-    "ax = plt.axes(projection=ccrs.Robinson())\n",
-    "\n",
-    "SST_time_mean.cf.plot(ax=ax,\n",
-    "                      x='longitude', y='latitude', \n",
-    "                      transform=ccrs.PlateCarree(),\n",
-    "                      vmin=-2, vmax=30, extend='both',\n",
-    "                      cmap=cm.cm.thermal)\n",
-    "\n",
-    "ax.coastlines();"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Putting this into practice"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Above a model agnostic version of some code was demonstrated, but that doesn't utilise the full power of what it is capable of. The model agnostic code can now be easily turned into a function that accepts an xarray DataArray:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def plot_global_temp_in_degrees_celcius(da):\n",
-    "    # Take the time mean of da and plot a global temperature field in a Robinson projection\n",
-    "    # \n",
-    "    # Input DataArray (da) should be a 3D array of latitude, longitude and time.\n",
-    "    \n",
-    "    da = da.pint.quantify().pint.to('C')\n",
-    "    da_time_mean = da.cf.mean('time')\n",
-    "    \n",
-    "    plt.figure(figsize=(12, 6))\n",
-    "    ax = plt.axes(projection=ccrs.Robinson())\n",
-    "\n",
-    "    da_time_mean.cf.plot(ax=ax,\n",
-    "                         x='longitude', y='latitude', \n",
-    "                         transform=ccrs.PlateCarree(),\n",
-    "                         vmin=-2, vmax=30, extend='both',\n",
-    "                         cmap=cm.cm.thermal)\n",
-    "\n",
-    "    ax.coastlines();"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Try it out with the SST data used above"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "plot_global_temp_in_degrees_celcius(SST)"
+    "SST"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "84a6b93e",
    "metadata": {},
    "source": [
-    "Ok, so now try on the output from a different experiment and model (MOM6):"
+    "### Model specific"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 16,
+   "cell_type": "markdown",
+   "id": "f821c54c",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "experiment = 'OM4_025.JRA_RYF'\n",
-    "variable = 'tos'\n",
-    "SST_mom6 = cc.querying.getvar(experiment, variable, session, frequency='1 monthly', n=12)"
+    "First do this as it might usually be done, in a model specific manner:\n",
+    "\n",
+    "1. Use the time coordinate name in the mean function\n",
+    "2. Subtract a hard-coded value to convert the temperature degrees celcius from degrees Kelvin (the meta-data says the units are `deg_C` but this is clearly incorrect)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 7,
+   "id": "1f4a5fd1",
    "metadata": {},
    "outputs": [
     {
@@ -2895,24 +3435,18 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tos&#x27; (time: 144, yh: 1080, xh: 1440)&gt;\n",
-       "dask.array&lt;concatenate, shape=(144, 1080, 1440), dtype=float32, chunksize=(1, 540, 720), chunktype=numpy.ndarray&gt;\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (yt_ocean: 1080, xt_ocean: 1440)&gt; Size: 6MB\n",
+       "dask.array&lt;sub, shape=(1080, 1440), dtype=float32, chunksize=(216, 240), chunktype=numpy.ndarray&gt;\n",
        "Coordinates:\n",
-       "  * xh       (xh) float64 -299.7 -299.5 -299.2 -299.0 ... 59.53 59.78 60.03\n",
-       "  * yh       (yh) float64 -80.39 -80.31 -80.23 -80.15 ... 89.73 89.84 89.95\n",
-       "  * time     (time) object 1900-01-16 12:00:00 ... 1911-12-16 12:00:00\n",
+       "  * xt_ocean  (xt_ocean) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
+       "  * yt_ocean  (yt_ocean) float64 9kB -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
        "Attributes:\n",
-       "    units:          degC\n",
-       "    long_name:      Sea Surface Temperature\n",
-       "    cell_methods:   area:mean yh:mean xh:mean time: mean\n",
-       "    cell_measures:  area: areacello\n",
+       "    long_name:      Potential temperature\n",
+       "    units:          K\n",
+       "    valid_range:    [-10. 500.]\n",
+       "    cell_methods:   time: mean\n",
        "    time_avg_info:  average_T1,average_T2,average_DT\n",
-       "    standard_name:  sea_surface_temperature\n",
-       "    ncfiles:        [&#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/outpu...\n",
-       "    contact:        Andy Hogg\n",
-       "    email:          Andy.Hogg@anu.edu.au\n",
-       "    created:        2021-11-01\n",
-       "    description:    0.25 degree OM4 (MOM6+SIS2) global model configuration un...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tos'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 144</li><li><span class='xr-has-index'>yh</span>: 1080</li><li><span class='xr-has-index'>xh</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e0759127-5711-4a9b-b710-d52b7e99e588' class='xr-array-in' type='checkbox' checked><label for='section-e0759127-5711-4a9b-b710-d52b7e99e588' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 540, 720), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    standard_name:  sea_surface_temperature</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>yt_ocean</span>: 1080</li><li><span class='xr-has-index'>xt_ocean</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-09ef7bd4-b558-4a07-aacf-9e915ebf95de' class='xr-array-in' type='checkbox' checked><label for='section-09ef7bd4-b558-4a07-aacf-9e915ebf95de' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(216, 240), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2927,18 +3461,18 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 854.30 MiB </td>\n",
-       "                        <td> 1.48 MiB </td>\n",
+       "                        <td> 5.93 MiB </td>\n",
+       "                        <td> 202.50 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (144, 1080, 1440) </td>\n",
-       "                        <td> (1, 540, 720) </td>\n",
+       "                        <td> (1080, 1440) </td>\n",
+       "                        <td> (216, 240) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 576 chunks in 25 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 30 chunks in 130 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -2948,394 +3482,178 @@
        "            </table>\n",
        "        </td>\n",
        "        <td>\n",
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+       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
        "\n",
        "  <!-- Horizontal lines -->\n",
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        "\n",
        "  <!-- Vertical lines -->\n",
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        "\n",
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+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,90.0 0.0,90.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
        "\n",
        "  <!-- Text -->\n",
-       "  <text x=\"92.704037\" y=\"132.704037\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
-       "  <text x=\"172.704037\" y=\"67.704037\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,172.704037,67.704037)\">1080</text>\n",
-       "  <text x=\"11.352019\" y=\"121.352019\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,11.352019,121.352019)\">144</text>\n",
+       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
+       "  <text x=\"140.000000\" y=\"45.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,45.000000)\">1080</text>\n",
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-ff3d814c-b15e-4ae5-ac47-298625614820' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ff3d814c-b15e-4ae5-ac47-298625614820' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xh</span></div><div class='xr-var-dims'>(xh)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-299.7 -299.5 ... 59.78 60.03</div><input id='attrs-98b2cc60-9e99-4ea3-838c-ee78584b404f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98b2cc60-9e99-4ea3-838c-ee78584b404f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3931d44-3506-4aa3-ad9d-9de5b7f4c932' class='xr-var-data-in' type='checkbox'><label for='data-d3931d44-3506-4aa3-ad9d-9de5b7f4c932' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>domain_decomposition :</span></dt><dd>[   1 1440    1 1440]</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>h point nominal longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-299.724244, -299.476198, -299.22815 , ...,   59.531631,   59.77967 ,\n",
-       "         60.027712])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yh</span></div><div class='xr-var-dims'>(yh)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-80.39 -80.31 ... 89.84 89.95</div><input id='attrs-3c374a9e-c98a-4372-b083-77c8ede71d9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c374a9e-c98a-4372-b083-77c8ede71d9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d7e36a3-9b66-45de-b925-83feba535cc2' class='xr-var-data-in' type='checkbox'><label for='data-6d7e36a3-9b66-45de-b925-83feba535cc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>domain_decomposition :</span></dt><dd>[   1 1080    1 1080]</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>h point nominal latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-80.389238, -80.308075, -80.226911, ...,  89.729781,  89.837868,\n",
-       "        89.945956])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1900-01-16 12:00:00 ... 1911-12-...</div><input id='attrs-73fc3e24-4a9b-45d7-9ef2-b9c6cc160d65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73fc3e24-4a9b-45d7-9ef2-b9c6cc160d65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcc0707c-2b9b-47c7-ba92-aefeefed5b54' class='xr-var-data-in' type='checkbox'><label for='data-bcc0707c-2b9b-47c7-ba92-aefeefed5b54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>NOLEAP</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1900, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1900, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1900, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1900, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1900, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1900, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1900, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1900, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1900, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1900, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1900, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1900, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1901, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1901, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1901, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1901, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1901, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1901, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1901, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1901, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1901, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1901, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1901, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1901, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1902, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1902, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1902, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1902, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1902, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1902, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1902, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1902, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1902, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1902, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1902, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1902, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1903, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1903, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1903, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1903, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1903, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1903, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1903, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1903, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1903, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1903, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1903, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1903, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1904, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1904, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1904, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1904, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1904, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1904, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1904, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1904, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1904, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1904, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1904, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1904, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1905, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1905, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1905, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1905, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1905, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1905, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1905, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1905, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1905, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1905, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1905, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1905, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1906, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1906, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1906, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1906, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1906, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1906, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1906, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1906, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1906, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1906, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1906, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1906, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1907, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1907, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1907, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1907, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1907, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1907, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1907, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1907, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1907, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1907, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1907, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1907, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1908, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1908, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1908, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1908, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1908, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1908, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1908, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1908, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1908, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1908, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1908, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1908, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1909, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1909, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1909, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1909, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1909, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1909, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1909, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1909, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1909, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1909, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1909, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1909, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1910, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1910, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1910, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1910, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1910, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1910, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1910, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1910, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1910, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1910, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1910, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1910, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1911, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1911, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1911, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1911, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1911, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1911, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1911, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1911, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1911, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1911, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1911, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(1911, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae4325d5-7640-44b9-a253-7650cf86e78d' class='xr-section-summary-in' type='checkbox'  ><label for='section-ae4325d5-7640-44b9-a253-7650cf86e78d' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>xh</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aa1e918f-f209-4212-b8d7-dba969c605af' class='xr-index-data-in' type='checkbox'/><label for='index-aa1e918f-f209-4212-b8d7-dba969c605af' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-299.72424385142534, -299.47619795417893, -299.22815003129284,\n",
-       "               -298.9801000979502, -298.73204816972844, -298.48399426259493,\n",
-       "               -298.2359383929031, -297.98788057738807,  -297.7398208331622,\n",
-       "              -297.49175917771095,\n",
-       "              ...\n",
-       "                 57.7954116364209,    58.0434365318752,   58.29146358221654,\n",
-       "                58.53949277642749,   58.78752410305645,    59.0355575502213,\n",
-       "               59.283593105613505,   59.53163075650182,   59.77967048973631,\n",
-       "                60.02771229175239],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;xh&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yh</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-641a8204-d998-4c59-b7b4-bb659e43e5aa' class='xr-index-data-in' type='checkbox'/><label for='index-641a8204-d998-4c59-b7b4-bb659e43e5aa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-80.38923793857394, -80.30807479101273, -80.22691082925455,\n",
-       "              -80.14574767486899, -80.06458691047965,  -79.9834300812582,\n",
-       "              -79.90227869634805, -79.82113423022128, -79.73999812397257,\n",
-       "              -79.65887178655316,\n",
-       "              ...\n",
-       "                88.9731671559671,  89.08125482376003,  89.18934249155296,\n",
-       "               89.29743015934592,  89.40551782713882,  89.51360549493178,\n",
-       "               89.62169316272471,  89.72978083051767,  89.83786849831056,\n",
-       "                89.9459561661037],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;yh&#x27;, length=1080))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d96fe5bf-5151-4e71-9ba8-735ae27ed6b5' class='xr-index-data-in' type='checkbox'/><label for='index-d96fe5bf-5151-4e71-9ba8-735ae27ed6b5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1900-01-16 12:00:00, 1900-02-15 00:00:00, 1900-03-16 12:00:00,\n",
-       "             1900-04-16 00:00:00, 1900-05-16 12:00:00, 1900-06-16 00:00:00,\n",
-       "             1900-07-16 12:00:00, 1900-08-16 12:00:00, 1900-09-16 00:00:00,\n",
-       "             1900-10-16 12:00:00,\n",
-       "             ...\n",
-       "             1911-03-16 12:00:00, 1911-04-16 00:00:00, 1911-05-16 12:00:00,\n",
-       "             1911-06-16 00:00:00, 1911-07-16 12:00:00, 1911-08-16 12:00:00,\n",
-       "             1911-09-16 00:00:00, 1911-10-16 12:00:00, 1911-11-16 00:00:00,\n",
-       "             1911-12-16 12:00:00],\n",
-       "            dtype=&#x27;object&#x27;, length=144, calendar=&#x27;noleap&#x27;, freq=&#x27;None&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b923dd82-c70c-41b2-8136-a4f219bd614f' class='xr-section-summary-in' type='checkbox'  ><label for='section-b923dd82-c70c-41b2-8136-a4f219bd614f' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degC</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>cell_methods :</span></dt><dd>area:mean yh:mean xh:mean time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>ncfiles :</span></dt><dd>[&#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/output000/19000101.ocean_month.nc&#x27;, &#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/output001/19010101.ocean_month.nc&#x27;, &#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/output002/19020101.ocean_month.nc&#x27;, &#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/output003/19030101.ocean_month.nc&#x27;, &#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/output004/19040101.ocean_month.nc&#x27;, &#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/output005/19050101.ocean_month.nc&#x27;, &#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/output006/19060101.ocean_month.nc&#x27;, &#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/output007/19070101.ocean_month.nc&#x27;, &#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/output008/19080101.ocean_month.nc&#x27;, &#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/output009/19090101.ocean_month.nc&#x27;, &#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/output010/19100101.ocean_month.nc&#x27;, &#x27;/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/output011/19110101.ocean_month.nc&#x27;]</dd><dt><span>contact :</span></dt><dd>Andy Hogg</dd><dt><span>email :</span></dt><dd>Andy.Hogg@anu.edu.au</dd><dt><span>created :</span></dt><dd>2021-11-01</dd><dt><span>description :</span></dt><dd>0.25 degree OM4 (MOM6+SIS2) global model configuration under 1990-1991 repeat year forcing. Aiming for long spinup. Run still ongoing.</dd></dl></div></li></ul></div></div>"
+       "</table></div></div></li><li class='xr-section-item'><input id='section-8a5fffe0-7e2b-4e97-85be-de6ad7ac1aa9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8a5fffe0-7e2b-4e97-85be-de6ad7ac1aa9' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.9 -279.6 ... 79.62 79.88</div><input id='attrs-cd2dfa12-df77-4ed6-90b6-dcce136406ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd2dfa12-df77-4ed6-90b6-dcce136406ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81d56b8e-607e-4e78-a318-2db41a12e963' class='xr-var-data-in' type='checkbox'><label for='data-81d56b8e-607e-4e78-a318-2db41a12e963' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-279.875, -279.625, -279.375, ...,   79.375,   79.625,   79.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.08 -80.97 ... 89.84 89.95</div><input id='attrs-b2677a59-88c1-46fc-8ea0-baa118f71e3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2677a59-88c1-46fc-8ea0-baa118f71e3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-209e8ee0-fa21-42b8-bc48-a2c25a793da5' class='xr-var-data-in' type='checkbox'><label for='data-209e8ee0-fa21-42b8-bc48-a2c25a793da5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-81.077001, -80.971402, -80.865804, ...,  89.736085,  89.841684,\n",
+       "        89.947282])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0159764d-dae8-469e-afae-50f1014b6f82' class='xr-section-summary-in' type='checkbox'  ><label for='section-0159764d-dae8-469e-afae-50f1014b6f82' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-638b0ed8-95d0-4c78-b93f-55b2981a2cb5' class='xr-index-data-in' type='checkbox'/><label for='index-638b0ed8-95d0-4c78-b93f-55b2981a2cb5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-279.875, -279.625, -279.375, -279.125, -278.875, -278.625, -278.375,\n",
+       "       -278.125, -277.875, -277.625,\n",
+       "       ...\n",
+       "         77.625,   77.875,   78.125,   78.375,   78.625,   78.875,   79.125,\n",
+       "         79.375,   79.625,   79.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6b1adef5-64e3-4f93-b504-821648df452c' class='xr-index-data-in' type='checkbox'/><label for='index-6b1adef5-64e3-4f93-b504-821648df452c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -81.0770008338366,  -80.9714022446317,  -80.8658036554268,\n",
+       "        -80.7602050662219,   -80.654606477017,  -80.5490078878121,\n",
+       "        -80.4434092986072, -80.33781070940229, -80.23221212019739,\n",
+       "       -80.12661353099249,\n",
+       "       ...\n",
+       "         88.9968950242055,  89.10249361341039,  89.20809220261533,\n",
+       "        89.31369079182024,  89.41928938102512,  89.52488797023008,\n",
+       "          89.630486559435,  89.73608514863992,  89.84168373784476,\n",
+       "        89.94728232704986],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;, length=1080))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f92451c1-781a-4f15-bf18-db7ac3dff8cc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f92451c1-781a-4f15-bf18-db7ac3dff8cc' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Potential temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_range :</span></dt><dd>[-10. 500.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.DataArray 'tos' (time: 144, yh: 1080, xh: 1440)>\n",
-       "dask.array<concatenate, shape=(144, 1080, 1440), dtype=float32, chunksize=(1, 540, 720), chunktype=numpy.ndarray>\n",
+       "<xarray.DataArray 'sst' (yt_ocean: 1080, xt_ocean: 1440)> Size: 6MB\n",
+       "dask.array<sub, shape=(1080, 1440), dtype=float32, chunksize=(216, 240), chunktype=numpy.ndarray>\n",
        "Coordinates:\n",
-       "  * xh       (xh) float64 -299.7 -299.5 -299.2 -299.0 ... 59.53 59.78 60.03\n",
-       "  * yh       (yh) float64 -80.39 -80.31 -80.23 -80.15 ... 89.73 89.84 89.95\n",
-       "  * time     (time) object 1900-01-16 12:00:00 ... 1911-12-16 12:00:00\n",
+       "  * xt_ocean  (xt_ocean) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
+       "  * yt_ocean  (yt_ocean) float64 9kB -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
        "Attributes:\n",
-       "    units:          degC\n",
-       "    long_name:      Sea Surface Temperature\n",
-       "    cell_methods:   area:mean yh:mean xh:mean time: mean\n",
-       "    cell_measures:  area: areacello\n",
+       "    long_name:      Potential temperature\n",
+       "    units:          K\n",
+       "    valid_range:    [-10. 500.]\n",
+       "    cell_methods:   time: mean\n",
        "    time_avg_info:  average_T1,average_T2,average_DT\n",
-       "    standard_name:  sea_surface_temperature\n",
-       "    ncfiles:        ['/g/data/ik11/outputs/mom6-om4-025/OM4_025.JRA_RYF/outpu...\n",
-       "    contact:        Andy Hogg\n",
-       "    email:          Andy.Hogg@anu.edu.au\n",
-       "    created:        2021-11-01\n",
-       "    description:    0.25 degree OM4 (MOM6+SIS2) global model configuration un..."
+       "    standard_name:  sea_surface_temperature"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "SST_mom6"
+    "SST_time_mean = SST.mean('time') - 273.15\n",
+    "SST_time_mean"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "0d2855fa",
    "metadata": {},
    "source": [
-    "Check to see it has correctly parsed the CF information. It is not necessary to print this out, but interesting, and note it has quite different index and coordinate names"
+    "Now plot the result"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 8,
+   "id": "896eff05",
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
-       "Coordinates:\n",
-       "- CF Axes: * X: ['xh']\n",
-       "           * Y: ['yh']\n",
-       "           * T: ['time']\n",
-       "             Z: n/a\n",
-       "\n",
-       "- CF Coordinates: * longitude: ['xh']\n",
-       "                  * latitude: ['yh']\n",
-       "                  * time: ['time']\n",
-       "                    vertical: n/a\n",
-       "\n",
-       "- Cell Measures:   area, volume: n/a\n",
-       "\n",
-       "- Standard Names:   n/a\n",
-       "\n",
-       "- Bounds:   n/a"
+       "<Figure size 1200x600 with 2 Axes>"
       ]
      },
-     "execution_count": 18,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "SST_mom6.cf"
+    "plt.figure(figsize=(12, 6))\n",
+    "ax = plt.axes(projection=ccrs.Robinson())\n",
+    "\n",
+    "SST_time_mean.plot(ax=ax,\n",
+    "                   x='xt_ocean', y='yt_ocean', \n",
+    "                   transform=ccrs.PlateCarree(),\n",
+    "                   vmin=-2, vmax=30, extend='both',\n",
+    "                   cmap=cm.cm.thermal)\n",
+    "\n",
+    "ax.coastlines();"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "ca718691",
    "metadata": {},
    "source": [
-    "Use the function from above which also worked on MOM5 data with very different coordinates"
+    "Note that the arctic is not correctly respresented due to the 1D lat/lon coordinates not being correct in the tripole area. See the [Making Maps with cartopy Tutorial](https://cosima-recipes.readthedocs.io/en/latest/tutorials/Making_Maps_with_Cartopy.html#fixing-the-tripole) for more information."
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 19,
+   "cell_type": "markdown",
+   "id": "8841733e",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
    "source": [
-    "plot_global_temp_in_degrees_celcius(SST_mom6)"
+    "### Model agnostic"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "7bcc43b6",
    "metadata": {},
    "source": [
-    "## What to do when it goes wrong"
+    "Now do the same calculation in a model agnostic manner"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "7272e295",
    "metadata": {},
    "source": [
-    "The model agnostic function worked flawlessly with two different ocean data sets, after the units were corrected in the MOM5 data. What about some ice data?\n",
-    "\n",
-    "Using the same experiment from which the first `SST` data was obtained, load the ice air temperature variable"
+    "For this data it is necessary to correct the units attribute first. This shouldn't be necessary if the metadata is correct"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 9,
+   "id": "d9dd1a49",
    "metadata": {},
    "outputs": [],
    "source": [
-    "experiment = '025deg_jra55v13_iaf_gmredi6'\n",
-    "variable = 'Tair_m'\n",
-    "ice_air_temp = cc.querying.getvar(experiment, variable, session, frequency='1 monthly', n=12)"
+    "SST.attrs['units'] = 'K'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "99d72aa3",
+   "metadata": {},
+   "source": [
+    "Now use `pint` to ensure this is in degrees C. Note that if the data was originally in degrees celcius this would be fine, it would do nothing. So this is a way of catering for any temperature units that are understood by `pint` in a transparent way. Note the call to `quantify` which invokes `pint`'s machinery to parse the units and allow unit conversions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "851ee9a9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "SST = SST.pint.quantify().pint.to('C')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 11,
+   "id": "89de7a9e",
    "metadata": {},
    "outputs": [
     {
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        "\n",
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-       "  font-weight: normal;\n",
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        "\n",
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-       "  white-space: pre-wrap;\n",
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+       ".xr-dim-list li:not(:last-child):after {\n",
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        "\n",
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+       ".xr-has-index {\n",
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        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;Tair_m&#x27; (time: 12, nj: 1080, ni: 1440)&gt;\n",
-       "dask.array&lt;concatenate, shape=(12, 1080, 1440), dtype=float32, chunksize=(1, 1080, 1440), chunktype=numpy.ndarray&gt;\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 1958-02-01 1958-03-01 ... 1959-01-01\n",
-       "    TLON     (nj, ni) float32 dask.array&lt;chunksize=(1080, 1440), meta=np.ndarray&gt;\n",
-       "    TLAT     (nj, ni) float32 dask.array&lt;chunksize=(1080, 1440), meta=np.ndarray&gt;\n",
-       "    ULON     (nj, ni) float32 dask.array&lt;chunksize=(1080, 1440), meta=np.ndarray&gt;\n",
-       "    ULAT     (nj, ni) float32 dask.array&lt;chunksize=(1080, 1440), meta=np.ndarray&gt;\n",
-       "Dimensions without coordinates: nj, ni\n",
-       "Attributes:\n",
-       "    units:          C\n",
-       "    long_name:      air temperature\n",
-       "    cell_measures:  area: tarea\n",
-       "    cell_methods:   time: mean\n",
-       "    time_rep:       averaged\n",
-       "    ncfiles:        [&#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_i...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Tair_m'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 12</li><li><span>nj</span>: 1080</li><li><span>ni</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a9d53fa1-1615-4fbb-8ab4-6216c684120c' class='xr-array-in' type='checkbox' checked><label for='section-a9d53fa1-1615-4fbb-8ab4-6216c684120c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 1080, 1440), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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-       "                        <td> 71.19 MiB </td>\n",
-       "                        <td> 5.93 MiB </td>\n",
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-       "                    \n",
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-       "                        <td colspan=\"2\"> 12 chunks in 25 graph layers </td>\n",
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-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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-       "       &#x27;1958-04-01T00:00:00.000000000&#x27;, &#x27;1958-05-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1958-06-01T00:00:00.000000000&#x27;, &#x27;1958-07-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1958-08-01T00:00:00.000000000&#x27;, &#x27;1958-09-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1958-10-01T00:00:00.000000000&#x27;, &#x27;1958-11-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1958-12-01T00:00:00.000000000&#x27;, &#x27;1959-01-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLON</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1080, 1440), meta=np.ndarray&gt;</div><input id='attrs-24c3f451-9263-454e-a281-177f934dc5ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24c3f451-9263-454e-a281-177f934dc5ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fd4a0ee-32c3-4820-ab55-8481a903a5da' class='xr-var-data-in' type='checkbox'><label for='data-7fd4a0ee-32c3-4820-ab55-8481a903a5da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>T grid center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 5.93 MiB </td>\n",
-       "                        <td> 5.93 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (1080, 1440) </td>\n",
-       "                        <td> (1080, 1440) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 55 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
        "\n",
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-       "  <line x1=\"0\" y1=\"90\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
        "\n",
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-       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
        "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,90.0 0.0,90.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
        "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
-       "  <text x=\"140.000000\" y=\"45.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,45.000000)\">1080</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLAT</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1080, 1440), meta=np.ndarray&gt;</div><input id='attrs-ec1a88fd-b1c9-41fa-b10b-df96c79135dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec1a88fd-b1c9-41fa-b10b-df96c79135dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22e9af5a-ca2d-48c1-a2d9-b758a5da7f94' class='xr-var-data-in' type='checkbox'><label for='data-22e9af5a-ca2d-48c1-a2d9-b758a5da7f94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>T grid center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 5.93 MiB </td>\n",
-       "                        <td> 5.93 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (1080, 1440) </td>\n",
-       "                        <td> (1080, 1440) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 55 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
        "\n",
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+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
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-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"90\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
        "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,90.0 0.0,90.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
        "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
-       "  <text x=\"140.000000\" y=\"45.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,45.000000)\">1080</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULON</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1080, 1440), meta=np.ndarray&gt;</div><input id='attrs-d1e8447f-5a5f-4d50-b8f3-f9dd451b7629' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1e8447f-5a5f-4d50-b8f3-f9dd451b7629' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68e2107b-4487-4f52-995c-fd2f08229976' class='xr-var-data-in' type='checkbox'><label for='data-68e2107b-4487-4f52-995c-fd2f08229976' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>U grid center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 5.93 MiB </td>\n",
-       "                        <td> 5.93 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (1080, 1440) </td>\n",
-       "                        <td> (1080, 1440) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 55 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
        "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"0\" y1=\"90\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
        "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"90\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
        "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,90.0 0.0,90.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
        "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
-       "  <text x=\"140.000000\" y=\"45.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,45.000000)\">1080</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULAT</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1080, 1440), meta=np.ndarray&gt;</div><input id='attrs-dbe1e4e8-6407-471c-a604-bc93036894a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbe1e4e8-6407-471c-a604-bc93036894a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac7e2903-3a8c-429d-8ec9-169f3e0a4114' class='xr-var-data-in' type='checkbox'><label for='data-ac7e2903-3a8c-429d-8ec9-169f3e0a4114' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>U grid center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>comment :</span></dt><dd>Latitude of NE corner of T grid cell</dd></dl></div><div class='xr-var-data'><table>\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (time: 732, yt_ocean: 1080, xt_ocean: 1440)&gt; Size: 5GB\n",
+       "&lt;Quantity(dask.array&lt;truediv, shape=(732, 1080, 1440), dtype=float32, chunksize=(1, 216, 240), chunktype=numpy.ndarray&gt;, &#x27;degree_Celsius&#x27;)&gt;\n",
+       "Coordinates:\n",
+       "  * xt_ocean  (xt_ocean) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
+       "  * yt_ocean  (yt_ocean) float64 9kB -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
+       "  * time      (time) datetime64[ns] 6kB 1958-01-14T12:00:00 ... 2018-12-14T12...\n",
+       "Attributes:\n",
+       "    long_name:      Potential temperature\n",
+       "    valid_range:    [-10. 500.]\n",
+       "    cell_methods:   time: mean\n",
+       "    time_avg_info:  average_T1,average_T2,average_DT\n",
+       "    standard_name:  sea_surface_temperature</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 732</li><li><span class='xr-has-index'>yt_ocean</span>: 1080</li><li><span class='xr-has-index'>xt_ocean</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2eea0226-51eb-479f-9a40-59ad18a3fab2' class='xr-array-in' type='checkbox' checked><label for='section-2eea0226-51eb-479f-9a40-59ad18a3fab2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>[°C] dask.array&lt;truediv, shape=(732, 1080, 1440), dtype=float32, ch...</span></div><div class='xr-array-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4005,18 +4048,18 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 5.93 MiB </td>\n",
-       "                        <td> 5.93 MiB </td>\n",
+       "                        <td> 4.24 GiB </td>\n",
+       "                        <td> 202.50 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (1080, 1440) </td>\n",
-       "                        <td> (1080, 1440) </td>\n",
+       "                        <td> (732, 1080, 1440) </td>\n",
+       "                        <td> (1, 216, 240) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 55 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 21960 chunks in 126 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -4024,290 +4067,223 @@
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "\n",
-       "  <!-- Horizontal lines -->\n",
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-       "\n",
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-       "\n",
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-       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
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-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5241788-b105-4a6d-8c57-c4adedbe2205' class='xr-section-summary-in' type='checkbox'  ><label for='section-b5241788-b105-4a6d-8c57-c4adedbe2205' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aac8f638-47c8-4715-b18e-42af13acc0f2' class='xr-index-data-in' type='checkbox'/><label for='index-aac8f638-47c8-4715-b18e-42af13acc0f2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1958-02-01&#x27;, &#x27;1958-03-01&#x27;, &#x27;1958-04-01&#x27;, &#x27;1958-05-01&#x27;,\n",
-       "               &#x27;1958-06-01&#x27;, &#x27;1958-07-01&#x27;, &#x27;1958-08-01&#x27;, &#x27;1958-09-01&#x27;,\n",
-       "               &#x27;1958-10-01&#x27;, &#x27;1958-11-01&#x27;, &#x27;1958-12-01&#x27;, &#x27;1959-01-01&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e64a29de-9857-42b2-97ea-e00c9e3fc3df' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e64a29de-9857-42b2-97ea-e00c9e3fc3df' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>C</dd><dt><span>long_name :</span></dt><dd>air temperature</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd><dt><span>ncfiles :</span></dt><dd>[&#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-01.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-02.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-03.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-04.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-05.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-06.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-07.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-08.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-09.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-10.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-11.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-12.nc&#x27;]</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'Tair_m' (time: 12, nj: 1080, ni: 1440)>\n",
-       "dask.array<concatenate, shape=(12, 1080, 1440), dtype=float32, chunksize=(1, 1080, 1440), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 1958-02-01 1958-03-01 ... 1959-01-01\n",
-       "    TLON     (nj, ni) float32 dask.array<chunksize=(1080, 1440), meta=np.ndarray>\n",
-       "    TLAT     (nj, ni) float32 dask.array<chunksize=(1080, 1440), meta=np.ndarray>\n",
-       "    ULON     (nj, ni) float32 dask.array<chunksize=(1080, 1440), meta=np.ndarray>\n",
-       "    ULAT     (nj, ni) float32 dask.array<chunksize=(1080, 1440), meta=np.ndarray>\n",
-       "Dimensions without coordinates: nj, ni\n",
-       "Attributes:\n",
-       "    units:          C\n",
-       "    long_name:      air temperature\n",
-       "    cell_measures:  area: tarea\n",
-       "    cell_methods:   time: mean\n",
-       "    time_rep:       averaged\n",
-       "    ncfiles:        ['/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_i..."
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ice_air_temp"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "And try the generic routine"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "editable": true,
-    "slideshow": {
-     "slide_type": ""
-    },
-    "tags": [
-     "skip-execution"
-    ]
-   },
-   "outputs": [
-    {
-     "ename": "KeyError",
-     "evalue": "\"Receive multiple variables for key 'longitude': ['ULON', 'TLON']. Expected only one. Please pass a list ['longitude'] instead to get all variables matching 'longitude'.\"",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[22], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mplot_global_temp_in_degrees_celcius\u001b[49m\u001b[43m(\u001b[49m\u001b[43mice_air_temp\u001b[49m\u001b[43m)\u001b[49m\n",
-      "Cell \u001b[0;32mIn[14], line 12\u001b[0m, in \u001b[0;36mplot_global_temp_in_degrees_celcius\u001b[0;34m(da)\u001b[0m\n\u001b[1;32m      9\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m12\u001b[39m, \u001b[38;5;241m6\u001b[39m))\n\u001b[1;32m     10\u001b[0m ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39maxes(projection\u001b[38;5;241m=\u001b[39mccrs\u001b[38;5;241m.\u001b[39mRobinson())\n\u001b[0;32m---> 12\u001b[0m \u001b[43mda_time_mean\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43max\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43max\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     13\u001b[0m \u001b[43m     \u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mlongitude\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mlatitude\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m     14\u001b[0m \u001b[43m     \u001b[49m\u001b[43mtransform\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mccrs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPlateCarree\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     15\u001b[0m \u001b[43m     \u001b[49m\u001b[43mvmin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvmax\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m30\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextend\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mboth\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m     16\u001b[0m \u001b[43m     \u001b[49m\u001b[43mcmap\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mthermal\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     18\u001b[0m ax\u001b[38;5;241m.\u001b[39mcoastlines()\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/cf_xarray/accessor.py:907\u001b[0m, in \u001b[0;36m_CFWrappedPlotMethods.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    898\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    899\u001b[0m \u001b[38;5;124;03mAllows .plot()\u001b[39;00m\n\u001b[1;32m    900\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    901\u001b[0m plot \u001b[38;5;241m=\u001b[39m _getattr(\n\u001b[1;32m    902\u001b[0m     obj\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_obj,\n\u001b[1;32m    903\u001b[0m     attr\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mplot\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    904\u001b[0m     accessor\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maccessor,\n\u001b[1;32m    905\u001b[0m     key_mappers\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mdict\u001b[39m\u001b[38;5;241m.\u001b[39mfromkeys(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_keys, (_single(_get_all),)),\n\u001b[1;32m    906\u001b[0m )\n\u001b[0;32m--> 907\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_plot_decorator\u001b[49m\u001b[43m(\u001b[49m\u001b[43mplot\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/cf_xarray/accessor.py:890\u001b[0m, in \u001b[0;36m_CFWrappedPlotMethods._plot_decorator.<locals>._plot_wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    887\u001b[0m     kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_process_x_or_y(kwargs, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m\"\u001b[39m, skip\u001b[38;5;241m=\u001b[39mkwargs\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m\"\u001b[39m))\n\u001b[1;32m    889\u001b[0m \u001b[38;5;66;03m# Now set some nice properties\u001b[39;00m\n\u001b[0;32m--> 890\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_set_axis_props\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mx\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    891\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_set_axis_props(kwargs, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    893\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/cf_xarray/accessor.py:854\u001b[0m, in \u001b[0;36m_CFWrappedPlotMethods._set_axis_props\u001b[0;34m(self, kwargs, key)\u001b[0m\n\u001b[1;32m    852\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m value:\n\u001b[1;32m    853\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m value \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maccessor\u001b[38;5;241m.\u001b[39mkeys():\n\u001b[0;32m--> 854\u001b[0m         var \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maccessor\u001b[49m\u001b[43m[\u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m    855\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    856\u001b[0m         var \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_obj[value]\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/cf_xarray/accessor.py:2516\u001b[0m, in \u001b[0;36mCFDataArrayAccessor.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2511\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(key, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m   2512\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\n\u001b[1;32m   2513\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot use a list of keys with DataArrays. Expected a single string. Received \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m instead.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   2514\u001b[0m     )\n\u001b[0;32m-> 2516\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_getitem\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/cf_xarray/accessor.py:668\u001b[0m, in \u001b[0;36m_getitem\u001b[0;34m(accessor, key, skip)\u001b[0m\n\u001b[1;32m    666\u001b[0m names \u001b[38;5;241m=\u001b[39m _get_all(obj, k)\n\u001b[1;32m    667\u001b[0m names \u001b[38;5;241m=\u001b[39m drop_bounds(names)\n\u001b[0;32m--> 668\u001b[0m \u001b[43mcheck_results\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnames\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    669\u001b[0m successful[k] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mbool\u001b[39m(names)\n\u001b[1;32m    670\u001b[0m coords\u001b[38;5;241m.\u001b[39mextend(names)\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/cf_xarray/accessor.py:647\u001b[0m, in \u001b[0;36m_getitem.<locals>.check_results\u001b[0;34m(names, key)\u001b[0m\n\u001b[1;32m    645\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcheck_results\u001b[39m(names, key):\n\u001b[1;32m    646\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m scalar_key \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(names) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[0;32m--> 647\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\n\u001b[1;32m    648\u001b[0m             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mReceive multiple variables for key \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnames\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    649\u001b[0m             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mExpected only one. Please pass a list [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m] \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    650\u001b[0m             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minstead to get all variables matching \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    651\u001b[0m         )\n",
-      "\u001b[0;31mKeyError\u001b[0m: \"Receive multiple variables for key 'longitude': ['ULON', 'TLON']. Expected only one. Please pass a list ['longitude'] instead to get all variables matching 'longitude'.\""
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_global_temp_in_degrees_celcius(ice_air_temp)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The error message is\n",
-    "```\n",
-    "\"Receive multiple variables for key 'longitude': ['TLON', 'ULON']. Expected only one. Please pass a list ['longitude'] instead to get all variables matching 'longitude'.\"\n",
-    "```\n",
-    "This suggests that `cf_xarray` has found multiple longitude coordinates `TLON` and `ULON` and doesn't know how to resolve this automatically. \n",
-    "\n",
-    "Inspecting the `cf` information doesn't show multiple axes like it [does in the documentation](https://cf-xarray.readthedocs.io/en/latest/examples/introduction.html#what-attributes-have-been-discovered):"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Coordinates:\n",
-       "- CF Axes:   X, Y, Z, T: n/a\n",
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+       "  <line x1=\"110\" y1=\"0\" x2=\"145\" y2=\"35\" />\n",
+       "  <line x1=\"130\" y1=\"0\" x2=\"165\" y2=\"35\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"10.0,0.0 130.0,0.0 165.88235294117646,35.88235294117647 45.88235294117647,35.88235294117647\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
        "\n",
-       "- CF Coordinates:   longitude: ['TLON']\n",
-       "                    latitude: ['TLAT']\n",
-       "                    vertical, time: n/a\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"45\" y1=\"35\" x2=\"165\" y2=\"35\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"45\" y1=\"53\" x2=\"165\" y2=\"53\" />\n",
+       "  <line x1=\"45\" y1=\"71\" x2=\"165\" y2=\"71\" />\n",
+       "  <line x1=\"45\" y1=\"89\" x2=\"165\" y2=\"89\" />\n",
+       "  <line x1=\"45\" y1=\"107\" x2=\"165\" y2=\"107\" />\n",
+       "  <line x1=\"45\" y1=\"125\" x2=\"165\" y2=\"125\" style=\"stroke-width:2\" />\n",
        "\n",
-       "- Cell Measures:   area, volume: n/a\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"45\" y1=\"35\" x2=\"45\" y2=\"125\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"65\" y1=\"35\" x2=\"65\" y2=\"125\" />\n",
+       "  <line x1=\"85\" y1=\"35\" x2=\"85\" y2=\"125\" />\n",
+       "  <line x1=\"105\" y1=\"35\" x2=\"105\" y2=\"125\" />\n",
+       "  <line x1=\"125\" y1=\"35\" x2=\"125\" y2=\"125\" />\n",
+       "  <line x1=\"145\" y1=\"35\" x2=\"145\" y2=\"125\" />\n",
+       "  <line x1=\"165\" y1=\"35\" x2=\"165\" y2=\"125\" style=\"stroke-width:2\" />\n",
        "\n",
-       "- Standard Names:   n/a\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"45.88235294117647,35.88235294117647 165.88235294117646,35.88235294117647 165.88235294117646,125.88235294117646 45.88235294117647,125.88235294117646\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
        "\n",
-       "- Bounds:   n/a"
+       "  <!-- Text -->\n",
+       "  <text x=\"105.882353\" y=\"145.882353\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
+       "  <text x=\"185.882353\" y=\"80.882353\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,185.882353,80.882353)\">1080</text>\n",
+       "  <text x=\"17.941176\" y=\"127.941176\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,17.941176,127.941176)\">732</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></td></tr><tr><th>Units</th><td style='text-align:left;'>degree_Celsius</td></tr></tbody></table></div></div></li><li class='xr-section-item'><input id='section-8e791f2c-37ba-4cc2-a03e-d4fc15eb50e0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8e791f2c-37ba-4cc2-a03e-d4fc15eb50e0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.9 -279.6 ... 79.62 79.88</div><input id='attrs-10d28300-1154-4172-bbf8-2b61166937da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10d28300-1154-4172-bbf8-2b61166937da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9460009c-e8ec-469d-9cdb-436b15c73812' class='xr-var-data-in' type='checkbox'><label for='data-9460009c-e8ec-469d-9cdb-436b15c73812' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-279.875, -279.625, -279.375, ...,   79.375,   79.625,   79.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.08 -80.97 ... 89.84 89.95</div><input id='attrs-db1debd9-aaf9-4f5e-aea2-1a31c0aae44b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db1debd9-aaf9-4f5e-aea2-1a31c0aae44b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5697767d-8fcc-4557-b20a-b0b23c51aaf5' class='xr-var-data-in' type='checkbox'><label for='data-5697767d-8fcc-4557-b20a-b0b23c51aaf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-81.077001, -80.971402, -80.865804, ...,  89.736085,  89.841684,\n",
+       "        89.947282])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1958-01-14T12:00:00 ... 2018-12-...</div><input id='attrs-a7f36ebd-1f7d-41d8-bba0-ebbbfcb996b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7f36ebd-1f7d-41d8-bba0-ebbbfcb996b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-293e18c6-60e0-4620-a30f-9f039ea02296' class='xr-var-data-in' type='checkbox'><label for='data-293e18c6-60e0-4620-a30f-9f039ea02296' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>GREGORIAN</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1958-01-14T12:00:00.000000000&#x27;, &#x27;1958-02-13T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1958-03-14T12:00:00.000000000&#x27;, ..., &#x27;2018-10-14T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2018-11-14T00:00:00.000000000&#x27;, &#x27;2018-12-14T12:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-42229dac-5b7b-4638-8944-b2c7684351a0' class='xr-section-summary-in' type='checkbox'  ><label for='section-42229dac-5b7b-4638-8944-b2c7684351a0' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4cb8d8f4-1b9b-479c-9a05-7a61d96f944c' class='xr-index-data-in' type='checkbox'/><label for='index-4cb8d8f4-1b9b-479c-9a05-7a61d96f944c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-279.875, -279.625, -279.375, -279.125, -278.875, -278.625, -278.375,\n",
+       "       -278.125, -277.875, -277.625,\n",
+       "       ...\n",
+       "         77.625,   77.875,   78.125,   78.375,   78.625,   78.875,   79.125,\n",
+       "         79.375,   79.625,   79.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a7c91770-df4a-4b4b-8bd2-389e45fd0a9d' class='xr-index-data-in' type='checkbox'/><label for='index-a7c91770-df4a-4b4b-8bd2-389e45fd0a9d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -81.0770008338366,  -80.9714022446317,  -80.8658036554268,\n",
+       "        -80.7602050662219,   -80.654606477017,  -80.5490078878121,\n",
+       "        -80.4434092986072, -80.33781070940229, -80.23221212019739,\n",
+       "       -80.12661353099249,\n",
+       "       ...\n",
+       "         88.9968950242055,  89.10249361341039,  89.20809220261533,\n",
+       "        89.31369079182024,  89.41928938102512,  89.52488797023008,\n",
+       "          89.630486559435,  89.73608514863992,  89.84168373784476,\n",
+       "        89.94728232704986],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;, length=1080))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b63fd197-b2a6-4682-a6f1-ffce24f7b5df' class='xr-index-data-in' type='checkbox'/><label for='index-b63fd197-b2a6-4682-a6f1-ffce24f7b5df' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1958-01-14 12:00:00&#x27;, &#x27;1958-02-13 00:00:00&#x27;,\n",
+       "               &#x27;1958-03-14 12:00:00&#x27;, &#x27;1958-04-14 00:00:00&#x27;,\n",
+       "               &#x27;1958-05-14 12:00:00&#x27;, &#x27;1958-06-14 00:00:00&#x27;,\n",
+       "               &#x27;1958-07-14 12:00:00&#x27;, &#x27;1958-08-14 12:00:00&#x27;,\n",
+       "               &#x27;1958-09-14 00:00:00&#x27;, &#x27;1958-10-14 12:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2018-03-14 12:00:00&#x27;, &#x27;2018-04-14 00:00:00&#x27;,\n",
+       "               &#x27;2018-05-14 12:00:00&#x27;, &#x27;2018-06-14 00:00:00&#x27;,\n",
+       "               &#x27;2018-07-14 12:00:00&#x27;, &#x27;2018-08-14 12:00:00&#x27;,\n",
+       "               &#x27;2018-09-14 00:00:00&#x27;, &#x27;2018-10-14 12:00:00&#x27;,\n",
+       "               &#x27;2018-11-14 00:00:00&#x27;, &#x27;2018-12-14 12:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=732, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebba10e1-9d96-4f8e-b551-b0ed04a936c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ebba10e1-9d96-4f8e-b551-b0ed04a936c4' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Potential temperature</dd><dt><span>valid_range :</span></dt><dd>[-10. 500.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'sst' (time: 732, yt_ocean: 1080, xt_ocean: 1440)> Size: 5GB\n",
+       "<Quantity(dask.array<truediv, shape=(732, 1080, 1440), dtype=float32, chunksize=(1, 216, 240), chunktype=numpy.ndarray>, 'degree_Celsius')>\n",
+       "Coordinates:\n",
+       "  * xt_ocean  (xt_ocean) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
+       "  * yt_ocean  (yt_ocean) float64 9kB -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
+       "  * time      (time) datetime64[ns] 6kB 1958-01-14T12:00:00 ... 2018-12-14T12...\n",
+       "Attributes:\n",
+       "    long_name:      Potential temperature\n",
+       "    valid_range:    [-10. 500.]\n",
+       "    cell_methods:   time: mean\n",
+       "    time_avg_info:  average_T1,average_T2,average_DT\n",
+       "    standard_name:  sea_surface_temperature"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ice_air_temp.cf"
+    "SST"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "f7592c1d",
    "metadata": {},
    "source": [
-    "[This is a bug](https://github.com/xarray-contrib/cf-xarray/issues/396), taking the mean alters the coordinates:"
+    "Now take the time mean, but this time use the `cf` accessor to automatically determine the name of the time dimension. `cf_xarray` checks the names of variables and coordinates, and associated metadata to try and infer information about the data based on the CF conventions.\n",
+    "\n",
+    "To see what `cf_xarray` information is available just evaluate the accessor:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 12,
+   "id": "4433be12",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "Coordinates:\n",
-       "- CF Axes:   X, Y, Z, T: n/a\n",
+       "             CF Axes: * X: ['xt_ocean']\n",
+       "                      * Y: ['yt_ocean']\n",
+       "                      * T: ['time']\n",
+       "                        Z: n/a\n",
+       "\n",
+       "      CF Coordinates: * longitude: ['xt_ocean']\n",
+       "                      * latitude: ['yt_ocean']\n",
+       "                      * time: ['time']\n",
+       "                        vertical: n/a\n",
        "\n",
-       "- CF Coordinates:   longitude: ['TLON', 'ULON']\n",
-       "                    latitude: ['TLAT', 'ULAT']\n",
-       "                    vertical, time: n/a\n",
+       "       Cell Measures:   area, volume: n/a\n",
        "\n",
-       "- Cell Measures:   area, volume: n/a\n",
+       "      Standard Names:   n/a\n",
        "\n",
-       "- Standard Names:   n/a\n",
+       "              Bounds:   n/a\n",
        "\n",
-       "- Bounds:   n/a"
+       "       Grid Mappings:   n/a"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ice_air_temp.cf.mean('time').cf"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So the solution is to drop the redundant velocity grid:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ice_air_temp = ice_air_temp.drop_vars(['ULON', 'ULAT'])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now trying to plot again using the generic function and there is another error:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "editable": true,
-    "slideshow": {
-     "slide_type": ""
-    },
-    "tags": [
-     "skip-execution"
-    ]
-   },
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "x and y arguments to pcolormesh cannot have non-finite values or be of type numpy.ma.core.MaskedArray with masked values",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[26], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mplot_global_temp_in_degrees_celcius\u001b[49m\u001b[43m(\u001b[49m\u001b[43mice_air_temp\u001b[49m\u001b[43m)\u001b[49m\n",
-      "Cell \u001b[0;32mIn[14], line 12\u001b[0m, in \u001b[0;36mplot_global_temp_in_degrees_celcius\u001b[0;34m(da)\u001b[0m\n\u001b[1;32m      9\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m12\u001b[39m, \u001b[38;5;241m6\u001b[39m))\n\u001b[1;32m     10\u001b[0m ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39maxes(projection\u001b[38;5;241m=\u001b[39mccrs\u001b[38;5;241m.\u001b[39mRobinson())\n\u001b[0;32m---> 12\u001b[0m \u001b[43mda_time_mean\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43max\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43max\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     13\u001b[0m \u001b[43m     \u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mlongitude\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mlatitude\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m     14\u001b[0m \u001b[43m     \u001b[49m\u001b[43mtransform\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mccrs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPlateCarree\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     15\u001b[0m \u001b[43m     \u001b[49m\u001b[43mvmin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvmax\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m30\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextend\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mboth\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m     16\u001b[0m \u001b[43m     \u001b[49m\u001b[43mcmap\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mthermal\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     18\u001b[0m ax\u001b[38;5;241m.\u001b[39mcoastlines()\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/cf_xarray/accessor.py:907\u001b[0m, in \u001b[0;36m_CFWrappedPlotMethods.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    898\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    899\u001b[0m \u001b[38;5;124;03mAllows .plot()\u001b[39;00m\n\u001b[1;32m    900\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    901\u001b[0m plot \u001b[38;5;241m=\u001b[39m _getattr(\n\u001b[1;32m    902\u001b[0m     obj\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_obj,\n\u001b[1;32m    903\u001b[0m     attr\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mplot\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    904\u001b[0m     accessor\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maccessor,\n\u001b[1;32m    905\u001b[0m     key_mappers\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mdict\u001b[39m\u001b[38;5;241m.\u001b[39mfromkeys(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_keys, (_single(_get_all),)),\n\u001b[1;32m    906\u001b[0m )\n\u001b[0;32m--> 907\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_plot_decorator\u001b[49m\u001b[43m(\u001b[49m\u001b[43mplot\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/cf_xarray/accessor.py:893\u001b[0m, in \u001b[0;36m_CFWrappedPlotMethods._plot_decorator.<locals>._plot_wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    890\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_set_axis_props(kwargs, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    891\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_set_axis_props(kwargs, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 893\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/cf_xarray/accessor.py:598\u001b[0m, in \u001b[0;36m_getattr.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    594\u001b[0m posargs, arguments \u001b[38;5;241m=\u001b[39m accessor\u001b[38;5;241m.\u001b[39m_process_signature(\n\u001b[1;32m    595\u001b[0m     func, args, kwargs, key_mappers\n\u001b[1;32m    596\u001b[0m )\n\u001b[1;32m    597\u001b[0m final_func \u001b[38;5;241m=\u001b[39m extra_decorator(func) \u001b[38;5;28;01mif\u001b[39;00m extra_decorator \u001b[38;5;28;01melse\u001b[39;00m func\n\u001b[0;32m--> 598\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mfinal_func\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mposargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43marguments\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    599\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m wrap_classes \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(result, _WRAPPED_CLASSES):\n\u001b[1;32m    600\u001b[0m     result \u001b[38;5;241m=\u001b[39m _CFWrappedClass(result, accessor)\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/xarray/plot/accessor.py:46\u001b[0m, in \u001b[0;36mDataArrayPlotAccessor.__call__\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m     44\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(dataarray_plot\u001b[38;5;241m.\u001b[39mplot, assigned\u001b[38;5;241m=\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__doc__\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__annotations__\u001b[39m\u001b[38;5;124m\"\u001b[39m))\n\u001b[1;32m     45\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[0;32m---> 46\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdataarray_plot\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_da\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/xarray/plot/dataarray_plot.py:312\u001b[0m, in \u001b[0;36mplot\u001b[0;34m(darray, row, col, col_wrap, ax, hue, subplot_kws, **kwargs)\u001b[0m\n\u001b[1;32m    308\u001b[0m     plotfunc \u001b[38;5;241m=\u001b[39m hist\n\u001b[1;32m    310\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124max\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m ax\n\u001b[0;32m--> 312\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mplotfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdarray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/xarray/plot/dataarray_plot.py:1613\u001b[0m, in \u001b[0;36m_plot2d.<locals>.newplotfunc\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m   1609\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mplt.imshow\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124ms `aspect` kwarg is not available in xarray\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m   1611\u001b[0m ax \u001b[38;5;241m=\u001b[39m get_axis(figsize, size, aspect, ax, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39msubplot_kws)\n\u001b[0;32m-> 1613\u001b[0m primitive \u001b[38;5;241m=\u001b[39m \u001b[43mplotfunc\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1614\u001b[0m \u001b[43m    \u001b[49m\u001b[43mxplt\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1615\u001b[0m \u001b[43m    \u001b[49m\u001b[43myplt\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1616\u001b[0m \u001b[43m    \u001b[49m\u001b[43mzval\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1617\u001b[0m \u001b[43m    \u001b[49m\u001b[43max\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43max\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1618\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcmap\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcmap_params\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcmap\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1619\u001b[0m \u001b[43m    \u001b[49m\u001b[43mvmin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcmap_params\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mvmin\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1620\u001b[0m \u001b[43m    \u001b[49m\u001b[43mvmax\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcmap_params\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mvmax\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1621\u001b[0m \u001b[43m    \u001b[49m\u001b[43mnorm\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcmap_params\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mnorm\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1622\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1623\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1625\u001b[0m \u001b[38;5;66;03m# Label the plot with metadata\u001b[39;00m\n\u001b[1;32m   1626\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m add_labels:\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/xarray/plot/dataarray_plot.py:2340\u001b[0m, in \u001b[0;36mpcolormesh\u001b[0;34m(x, y, z, ax, xscale, yscale, infer_intervals, **kwargs)\u001b[0m\n\u001b[1;32m   2337\u001b[0m         y \u001b[38;5;241m=\u001b[39m _infer_interval_breaks(y, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, scale\u001b[38;5;241m=\u001b[39myscale)\n\u001b[1;32m   2339\u001b[0m ax\u001b[38;5;241m.\u001b[39mgrid(\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m-> 2340\u001b[0m primitive \u001b[38;5;241m=\u001b[39m \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpcolormesh\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mz\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2342\u001b[0m \u001b[38;5;66;03m# by default, pcolormesh picks \"round\" values for bounds\u001b[39;00m\n\u001b[1;32m   2343\u001b[0m \u001b[38;5;66;03m# this results in ugly looking plots with lots of surrounding whitespace\u001b[39;00m\n\u001b[1;32m   2344\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(ax, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprojection\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m x\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m y\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m   2345\u001b[0m     \u001b[38;5;66;03m# not a cartopy geoaxis\u001b[39;00m\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/cartopy/mpl/geoaxes.py:318\u001b[0m, in \u001b[0;36m_add_transform.<locals>.wrapper\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    313\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mInvalid transform: Spherical \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m    314\u001b[0m                      \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mis not supported - consider using \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m    315\u001b[0m                      \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mPlateCarree/RotatedPole.\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m    317\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtransform\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m transform\n\u001b[0;32m--> 318\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/cartopy/mpl/geoaxes.py:1797\u001b[0m, in \u001b[0;36mGeoAxes.pcolormesh\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1794\u001b[0m \u001b[38;5;66;03m# Add in an argument checker to handle Matplotlib's potential\u001b[39;00m\n\u001b[1;32m   1795\u001b[0m \u001b[38;5;66;03m# interpolation when coordinate wraps are involved\u001b[39;00m\n\u001b[1;32m   1796\u001b[0m args, kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_wrap_args(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m-> 1797\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mmatplotlib\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maxes\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mAxes\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpcolormesh\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1798\u001b[0m \u001b[38;5;66;03m# Wrap the quadrilaterals if necessary\u001b[39;00m\n\u001b[1;32m   1799\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_wrap_quadmesh(result, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/matplotlib/__init__.py:1414\u001b[0m, in \u001b[0;36m_preprocess_data.<locals>.inner\u001b[0;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1411\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[1;32m   1412\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(ax, \u001b[38;5;241m*\u001b[39margs, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m   1413\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m data \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1414\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43max\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mmap\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43msanitize_sequence\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1416\u001b[0m     bound \u001b[38;5;241m=\u001b[39m new_sig\u001b[38;5;241m.\u001b[39mbind(ax, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m   1417\u001b[0m     auto_label \u001b[38;5;241m=\u001b[39m (bound\u001b[38;5;241m.\u001b[39marguments\u001b[38;5;241m.\u001b[39mget(label_namer)\n\u001b[1;32m   1418\u001b[0m                   \u001b[38;5;129;01mor\u001b[39;00m bound\u001b[38;5;241m.\u001b[39mkwargs\u001b[38;5;241m.\u001b[39mget(label_namer))\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/matplotlib/axes/_axes.py:6064\u001b[0m, in \u001b[0;36mAxes.pcolormesh\u001b[0;34m(self, alpha, norm, cmap, vmin, vmax, shading, antialiased, *args, **kwargs)\u001b[0m\n\u001b[1;32m   6061\u001b[0m shading \u001b[38;5;241m=\u001b[39m shading\u001b[38;5;241m.\u001b[39mlower()\n\u001b[1;32m   6062\u001b[0m kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124medgecolors\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnone\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m-> 6064\u001b[0m X, Y, C, shading \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_pcolorargs\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mpcolormesh\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   6065\u001b[0m \u001b[43m                                    \u001b[49m\u001b[43mshading\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mshading\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   6066\u001b[0m coords \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mstack([X, Y], axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m   6067\u001b[0m \u001b[38;5;66;03m# convert to one dimensional array\u001b[39;00m\n",
-      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-22.07/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5539\u001b[0m, in \u001b[0;36mAxes._pcolorargs\u001b[0;34m(self, funcname, shading, *args, **kwargs)\u001b[0m\n\u001b[1;32m   5537\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m funcname \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpcolormesh\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m   5538\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m np\u001b[38;5;241m.\u001b[39mma\u001b[38;5;241m.\u001b[39mis_masked(X) \u001b[38;5;129;01mor\u001b[39;00m np\u001b[38;5;241m.\u001b[39mma\u001b[38;5;241m.\u001b[39mis_masked(Y):\n\u001b[0;32m-> 5539\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m   5540\u001b[0m             \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mx and y arguments to pcolormesh cannot have \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m   5541\u001b[0m             \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnon-finite values or be of type \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m   5542\u001b[0m             \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnumpy.ma.core.MaskedArray with masked values\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m   5543\u001b[0m     \u001b[38;5;66;03m# safe_masked_invalid() returns an ndarray for dtypes other\u001b[39;00m\n\u001b[1;32m   5544\u001b[0m     \u001b[38;5;66;03m# than floating point.\u001b[39;00m\n\u001b[1;32m   5545\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(X, np\u001b[38;5;241m.\u001b[39mma\u001b[38;5;241m.\u001b[39mcore\u001b[38;5;241m.\u001b[39mMaskedArray):\n",
-      "\u001b[0;31mValueError\u001b[0m: x and y arguments to pcolormesh cannot have non-finite values or be of type numpy.ma.core.MaskedArray with masked values"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_global_temp_in_degrees_celcius(ice_air_temp)"
+    "SST.cf"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "488bd7f5",
    "metadata": {},
    "source": [
-    "This error:\n",
-    "```\n",
-    "ValueError: x and y arguments to pcolormesh cannot have non-finite values or be of type numpy.ma.core.MaskedArray with masked values\n",
-    "```\n",
-    "is because there are `NaN`'s in the coordinate variables, as [explained in the plotting with cartopy tutorial](https://cosima-recipes.readthedocs.io/en/latest/tutorials/Making_Maps_with_Cartopy.html#fixing-the-tripole).\n",
+    "In this case it has found `X`, `Y` and `T` axes, and `longitude`, `latitude` and `time` axes. These are now accessible like a `dict` using the `cf` accessor. Note that this returns the actual coordinate, and many functions just want a simple string argument, which is the name of the coordinate.\n",
     "\n",
-    "By following the instructions in that tutorial and the [Spatial selection with tripolar ACCESS-OM2 grid notebook](https://cosima-recipes.readthedocs.io/en/latest/documented_examples/Spatial_selection.html#gallery-documented-examples-spatial-selection-ipynb) the coordinates can be fixed by replacing them with coordinates from the ice grid input file. It requires some work, the dimensions must be renamed to match, and coordinates converted from radians to degrees."
+    "`cf_xarray` also wraps many standard xarray functions allowing `cf` names to be used, which are [automatically converted to the name in the data](https://cf-xarray.readthedocs.io/en/latest/examples/introduction.html#feature-rewriting-arguments). \n",
+    "\n",
+    "The upshot: just use the `cf` accessor and then append the required function and use the standard CF coordinate name (in this case they are the same, `time`, but that is not guaranteed)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 13,
+   "id": "76d493d4",
    "metadata": {},
    "outputs": [
     {
@@ -4676,20 +4652,17 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;Tair_m&#x27; (time: 12, nj: 1080, ni: 1440)&gt;\n",
-       "dask.array&lt;concatenate, shape=(12, 1080, 1440), dtype=float32, chunksize=(1, 1080, 1440), chunktype=numpy.ndarray&gt;\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (yt_ocean: 1080, xt_ocean: 1440)&gt; Size: 6MB\n",
+       "&lt;Quantity(dask.array&lt;mean_agg-aggregate, shape=(1080, 1440), dtype=float32, chunksize=(216, 240), chunktype=numpy.ndarray&gt;, &#x27;degree_Celsius&#x27;)&gt;\n",
        "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 1958-02-01 1958-03-01 ... 1959-01-01\n",
-       "    TLON     (nj, ni) float64 [degrees_east] -279.9 -279.6 -279.4 ... 80.0 80.0\n",
-       "    TLAT     (nj, ni) float64 [degrees_north] -81.08 -81.08 ... 65.13 65.03\n",
-       "Dimensions without coordinates: nj, ni\n",
+       "  * xt_ocean  (xt_ocean) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
+       "  * yt_ocean  (yt_ocean) float64 9kB -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
        "Attributes:\n",
-       "    units:          C\n",
-       "    long_name:      air temperature\n",
-       "    cell_measures:  area: tarea\n",
+       "    long_name:      Potential temperature\n",
+       "    valid_range:    [-10. 500.]\n",
        "    cell_methods:   time: mean\n",
-       "    time_rep:       averaged\n",
-       "    ncfiles:        [&#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_i...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Tair_m'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 12</li><li><span>nj</span>: 1080</li><li><span>ni</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6fef4a11-0f28-442b-8bb8-49ead13504a5' class='xr-array-in' type='checkbox' checked><label for='section-6fef4a11-0f28-442b-8bb8-49ead13504a5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 1080, 1440), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    time_avg_info:  average_T1,average_T2,average_DT\n",
+       "    standard_name:  sea_surface_temperature</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>yt_ocean</span>: 1080</li><li><span class='xr-has-index'>xt_ocean</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6d7239b3-75a1-4e3a-a61c-9b226889af93' class='xr-array-in' type='checkbox' checked><label for='section-6d7239b3-75a1-4e3a-a61c-9b226889af93' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>[°C] dask.array&lt;mean_agg-aggregate, shape=(1080, 1440), dtype=float...</span></div><div class='xr-array-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4704,18 +4677,18 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 71.19 MiB </td>\n",
        "                        <td> 5.93 MiB </td>\n",
+       "                        <td> 202.50 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (12, 1080, 1440) </td>\n",
-       "                        <td> (1, 1080, 1440) </td>\n",
+       "                        <td> (1080, 1440) </td>\n",
+       "                        <td> (216, 240) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 12 chunks in 25 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 30 chunks in 132 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -4725,113 +4698,457 @@
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        "        </td>\n",
        "        <td>\n",
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-       "  <text x=\"84.948598\" y=\"124.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
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        "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-a6cbf380-ea25-4ecb-864e-4f9b077420af' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6cbf380-ea25-4ecb-864e-4f9b077420af' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1958-02-01 ... 1959-01-01</div><input id='attrs-279f069b-ab75-40cd-9c8c-c489f3d39aa5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-279f069b-ab75-40cd-9c8c-c489f3d39aa5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9f72989-4621-4d6d-b3f2-e73b3e3852ca' class='xr-var-data-in' type='checkbox'><label for='data-f9f72989-4621-4d6d-b3f2-e73b3e3852ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>model time</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1958-02-01T00:00:00.000000000&#x27;, &#x27;1958-03-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1958-04-01T00:00:00.000000000&#x27;, &#x27;1958-05-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1958-06-01T00:00:00.000000000&#x27;, &#x27;1958-07-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1958-08-01T00:00:00.000000000&#x27;, &#x27;1958-09-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1958-10-01T00:00:00.000000000&#x27;, &#x27;1958-11-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1958-12-01T00:00:00.000000000&#x27;, &#x27;1959-01-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLON</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>[degrees_east] -279.9 ... 80.0</div><input id='attrs-bb1e3cd5-3e47-4972-a7d8-4ea5e7d9c0d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb1e3cd5-3e47-4972-a7d8-4ea5e7d9c0d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-231fc97c-92a8-45aa-91ac-db1ee760f104' class='xr-var-data-in' type='checkbox'><label for='data-231fc97c-92a8-45aa-91ac-db1ee760f104' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Longitude of T points</dd></dl></div><div class='xr-var-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><pre>[[-279.875 -279.625 -279.375 ... 79.375 79.625 79.875]<br> [-279.875 -279.625 -279.375 ... 79.375 79.625 79.875]<br> [-279.875 -279.625 -279.375 ... 79.375 79.625 79.875]<br> ...<br> [-279.99740600545 -279.9922179176187 -279.98702953357895 ...<br>  79.98702953357898 79.99221791761875 79.99740600544997]<br> [-279.9984438186694 -279.9953313967614 -279.9922187971038 ...<br>  79.99221879710382 79.99533139676142 79.99844381866941]<br> [-279.9994817902001 -279.9984453508684 -279.99740885233774 ...<br>  79.99740885233776 79.99844535086841 79.99948179020012]]</pre></td></tr><tr><th>Units</th><td style='text-align:left;'>degrees_east</td></tr></tbody></table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLAT</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>[degrees_north] -81.08 ... 65.03</div><input id='attrs-735b77f2-cad3-4b4f-bf14-b8d0952562e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-735b77f2-cad3-4b4f-bf14-b8d0952562e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-404d4fbd-61ff-49fa-9e27-12f1348c9156' class='xr-var-data-in' type='checkbox'><label for='data-404d4fbd-61ff-49fa-9e27-12f1348c9156' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Latitude of T points</dd></dl></div><div class='xr-var-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><pre>[[-81.0770008338366 -81.0770008338366 -81.0770008338366 ...<br>  -81.0770008338366 -81.0770008338366 -81.0770008338366]<br> [-80.9714022446317 -80.9714022446317 -80.9714022446317 ...<br>  -80.9714022446317 -80.9714022446317 -80.9714022446317]<br> [-80.8658036554268 -80.8658036554268 -80.8658036554268 ...<br>  -80.8658036554268 -80.8658036554268 -80.8658036554268]<br> ...<br> [65.02595119174076 65.1312730330055 65.23618183089523 ...<br>  65.23618183089523 65.1312730330055 65.02595119174076]<br> [65.02595846678675 65.13129477265242 65.23621792273246 ...<br>  65.23621792273246 65.13129477265242 65.02595846678675]<br> [65.02596210326624 65.13130563935326 65.23623596345988 ...<br>  65.23623596345988 65.13130563935326 65.02596210326624]]</pre></td></tr><tr><th>Units</th><td style='text-align:left;'>degrees_north</td></tr></tbody></table></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ef0ef56-c5ad-406a-9c06-c500bc94604d' class='xr-section-summary-in' type='checkbox'  ><label for='section-7ef0ef56-c5ad-406a-9c06-c500bc94604d' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a7cbb91b-9609-4af8-a313-94c3a1db584a' class='xr-index-data-in' type='checkbox'/><label for='index-a7cbb91b-9609-4af8-a313-94c3a1db584a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1958-02-01&#x27;, &#x27;1958-03-01&#x27;, &#x27;1958-04-01&#x27;, &#x27;1958-05-01&#x27;,\n",
-       "               &#x27;1958-06-01&#x27;, &#x27;1958-07-01&#x27;, &#x27;1958-08-01&#x27;, &#x27;1958-09-01&#x27;,\n",
-       "               &#x27;1958-10-01&#x27;, &#x27;1958-11-01&#x27;, &#x27;1958-12-01&#x27;, &#x27;1959-01-01&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1a50924a-f5f6-4b89-8d66-8236a1274383' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1a50924a-f5f6-4b89-8d66-8236a1274383' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>C</dd><dt><span>long_name :</span></dt><dd>air temperature</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd><dt><span>ncfiles :</span></dt><dd>[&#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-01.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-02.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-03.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-04.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-05.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-06.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-07.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-08.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-09.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-10.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-11.nc&#x27;, &#x27;/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_iaf_gmredi6/output000/ice/OUTPUT/iceh.1958-12.nc&#x27;]</dd></dl></div></li></ul></div></div>"
+       "</table></td></tr><tr><th>Units</th><td style='text-align:left;'>degree_Celsius</td></tr></tbody></table></div></div></li><li class='xr-section-item'><input id='section-bf3b704c-a0f1-46b1-84e4-01d467383e58' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bf3b704c-a0f1-46b1-84e4-01d467383e58' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.9 -279.6 ... 79.62 79.88</div><input id='attrs-616bdca9-2702-46d2-bfcf-3e20c06397f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-616bdca9-2702-46d2-bfcf-3e20c06397f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba967ba1-811c-4634-9fa6-8a933d95b115' class='xr-var-data-in' type='checkbox'><label for='data-ba967ba1-811c-4634-9fa6-8a933d95b115' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-279.875, -279.625, -279.375, ...,   79.375,   79.625,   79.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.08 -80.97 ... 89.84 89.95</div><input id='attrs-ebfa59e2-cb61-4a78-9803-1772befe3c7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebfa59e2-cb61-4a78-9803-1772befe3c7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67bcbce0-a52d-40f7-9ea1-571d73866749' class='xr-var-data-in' type='checkbox'><label for='data-67bcbce0-a52d-40f7-9ea1-571d73866749' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-81.077001, -80.971402, -80.865804, ...,  89.736085,  89.841684,\n",
+       "        89.947282])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43eccad0-1809-4713-8ed5-3abd003408dd' class='xr-section-summary-in' type='checkbox'  ><label for='section-43eccad0-1809-4713-8ed5-3abd003408dd' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4327f8e5-d233-4063-8099-b3d42dbe2068' class='xr-index-data-in' type='checkbox'/><label for='index-4327f8e5-d233-4063-8099-b3d42dbe2068' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-279.875, -279.625, -279.375, -279.125, -278.875, -278.625, -278.375,\n",
+       "       -278.125, -277.875, -277.625,\n",
+       "       ...\n",
+       "         77.625,   77.875,   78.125,   78.375,   78.625,   78.875,   79.125,\n",
+       "         79.375,   79.625,   79.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2447f6a2-9e3d-41f2-8a37-369617166ba0' class='xr-index-data-in' type='checkbox'/><label for='index-2447f6a2-9e3d-41f2-8a37-369617166ba0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -81.0770008338366,  -80.9714022446317,  -80.8658036554268,\n",
+       "        -80.7602050662219,   -80.654606477017,  -80.5490078878121,\n",
+       "        -80.4434092986072, -80.33781070940229, -80.23221212019739,\n",
+       "       -80.12661353099249,\n",
+       "       ...\n",
+       "         88.9968950242055,  89.10249361341039,  89.20809220261533,\n",
+       "        89.31369079182024,  89.41928938102512,  89.52488797023008,\n",
+       "          89.630486559435,  89.73608514863992,  89.84168373784476,\n",
+       "        89.94728232704986],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;, length=1080))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a6fc109-de92-420c-a7b9-314954801e70' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a6fc109-de92-420c-a7b9-314954801e70' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Potential temperature</dd><dt><span>valid_range :</span></dt><dd>[-10. 500.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.DataArray 'Tair_m' (time: 12, nj: 1080, ni: 1440)>\n",
-       "dask.array<concatenate, shape=(12, 1080, 1440), dtype=float32, chunksize=(1, 1080, 1440), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 1958-02-01 1958-03-01 ... 1959-01-01\n",
-       "    TLON     (nj, ni) float64 [degrees_east] -279.9 -279.6 -279.4 ... 80.0 80.0\n",
-       "    TLAT     (nj, ni) float64 [degrees_north] -81.08 -81.08 ... 65.13 65.03\n",
-       "Dimensions without coordinates: nj, ni\n",
-       "Attributes:\n",
-       "    units:          C\n",
-       "    long_name:      air temperature\n",
-       "    cell_measures:  area: tarea\n",
-       "    cell_methods:   time: mean\n",
-       "    time_rep:       averaged\n",
-       "    ncfiles:        ['/g/data/hh5/tmp/cosima/access-om2-025/025deg_jra55v13_i..."
+       "<xarray.DataArray 'sst' (yt_ocean: 1080, xt_ocean: 1440)> Size: 6MB\n",
+       "<Quantity(dask.array<mean_agg-aggregate, shape=(1080, 1440), dtype=float32, chunksize=(216, 240), chunktype=numpy.ndarray>, 'degree_Celsius')>\n",
+       "Coordinates:\n",
+       "  * xt_ocean  (xt_ocean) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88\n",
+       "  * yt_ocean  (yt_ocean) float64 9kB -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
+       "Attributes:\n",
+       "    long_name:      Potential temperature\n",
+       "    valid_range:    [-10. 500.]\n",
+       "    cell_methods:   time: mean\n",
+       "    time_avg_info:  average_T1,average_T2,average_DT\n",
+       "    standard_name:  sea_surface_temperature"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "SST_time_mean = SST.cf.mean('time')\n",
+    "SST_time_mean"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cee2356d",
+   "metadata": {},
+   "source": [
+    "Using the `cf_xarray` wrapped function makes the code more legible and easier to write, i.e.\n",
+    "```python\n",
+    "SST.cf.mean('time')\n",
+    "```\n",
+    "compared to\n",
+    "```python\n",
+    "SST.mean(SST.cf['time'].name)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e3e23250",
+   "metadata": {},
+   "source": [
+    "In the same way the `cf` accessor can be used in the plot and the CF names for latitude and longitude used as `x` and `y` arguments"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "1b7f3714",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 6))\n",
+    "ax = plt.axes(projection=ccrs.Robinson())\n",
+    "\n",
+    "SST_time_mean.cf.plot(ax=ax,\n",
+    "                      x='longitude', y='latitude', \n",
+    "                      transform=ccrs.PlateCarree(),\n",
+    "                      vmin=-2, vmax=30, extend='both',\n",
+    "                      cmap=cm.cm.thermal)\n",
+    "\n",
+    "ax.coastlines();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ca89707",
+   "metadata": {},
+   "source": [
+    "## Putting this into practice"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "008aaf9f",
+   "metadata": {},
+   "source": [
+    "Above a model agnostic version of some code was demonstrated, but that doesn't utilise the full power of what it is capable of. The model agnostic code can now be easily turned into a function that accepts an xarray DataArray:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "39b1d1fc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_global_temp_in_degrees_celcius(da):\n",
+    "    # Take the time mean of da and plot a global temperature field in a Robinson projection\n",
+    "    # \n",
+    "    # Input DataArray (da) should be a 3D array of latitude, longitude and time.\n",
+    "    \n",
+    "    da = da.pint.quantify().pint.to('C')\n",
+    "    da_time_mean = da.cf.mean('time')\n",
+    "    \n",
+    "    plt.figure(figsize=(12, 6))\n",
+    "    ax = plt.axes(projection=ccrs.Robinson())\n",
+    "\n",
+    "    da_time_mean.cf.plot(ax=ax,\n",
+    "                         x='longitude', y='latitude', \n",
+    "                         transform=ccrs.PlateCarree(),\n",
+    "                         vmin=-2, vmax=30, extend='both',\n",
+    "                         cmap=cm.cm.thermal)\n",
+    "\n",
+    "    ax.coastlines();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f121c4b9",
+   "metadata": {},
+   "source": [
+    "Try it out with the SST data used above"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "ffb12eb4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
       ]
      },
-     "execution_count": 27,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_global_temp_in_degrees_celcius(SST)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7f8ce0f9",
+   "metadata": {},
+   "source": [
+    "Ok, so now try on the output from a different experiment and model (MOM6):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "4251ede7",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "KeyError",
+     "evalue": "\"key='OM4_025.JRA_RYF' not found in catalog. You can access the list of valid source keys via the .keys() method.\"",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01/lib/python3.10/site-packages/intake_dataframe_catalog/core.py:155\u001b[0m, in \u001b[0;36mDfFileCatalog.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    154\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 155\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_entries\u001b[49m\u001b[43m[\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m    156\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n",
+      "\u001b[0;31mKeyError\u001b[0m: 'OM4_025.JRA_RYF'",
+      "\nThe above exception was the direct cause of the following exception:\n",
+      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[17], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m experiment \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mOM4_025.JRA_RYF\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m      2\u001b[0m variable \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtos\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m----> 3\u001b[0m cat_subset \u001b[38;5;241m=\u001b[39m \u001b[43mcatalog\u001b[49m\u001b[43m[\u001b[49m\u001b[43mexperiment\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m      4\u001b[0m var_search \u001b[38;5;241m=\u001b[39m cat_subset\u001b[38;5;241m.\u001b[39msearch(variable\u001b[38;5;241m=\u001b[39mvariable, frequency\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m1 monthly\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m      5\u001b[0m darray \u001b[38;5;241m=\u001b[39m var_search\u001b[38;5;241m.\u001b[39mto_dask()\n",
+      "File \u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01/lib/python3.10/site-packages/intake_dataframe_catalog/core.py:171\u001b[0m, in \u001b[0;36mDfFileCatalog.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    167\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_entries[key] \u001b[38;5;241m=\u001b[39m LocalCatalogEntry(\n\u001b[1;32m    168\u001b[0m         name\u001b[38;5;241m=\u001b[39mkey, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39myaml\u001b[38;5;241m.\u001b[39msafe_load(yaml_text)[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msources\u001b[39m\u001b[38;5;124m\"\u001b[39m][key]\n\u001b[1;32m    169\u001b[0m     )\u001b[38;5;241m.\u001b[39mget()\n\u001b[1;32m    170\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_entries[key]\n\u001b[0;32m--> 171\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\n\u001b[1;32m    172\u001b[0m     \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mkey=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m not found in catalog. You can access the list of valid source keys via the .keys() method.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    173\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n",
+      "\u001b[0;31mKeyError\u001b[0m: \"key='OM4_025.JRA_RYF' not found in catalog. You can access the list of valid source keys via the .keys() method.\""
+     ]
     }
    ],
+   "source": [
+    "experiment = 'OM4_025.JRA_RYF'\n",
+    "variable = 'tos'\n",
+    "cat_subset = catalog[experiment]\n",
+    "var_search = cat_subset.search(variable=variable, frequency='1 monthly')\n",
+    "ds = var_search.to_dask()\n",
+    "SST_mom6 = ds[variable]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "86f3d2b0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "SST_mom6"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "257b67b2",
+   "metadata": {},
+   "source": [
+    "Check to see it has correctly parsed the CF information. It is not necessary to print this out, but interesting, and note it has quite different index and coordinate names"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2494feec",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "SST_mom6.cf"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "43139633",
+   "metadata": {},
+   "source": [
+    "Use the function from above which also worked on MOM5 data with very different coordinates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a83c383c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_global_temp_in_degrees_celcius(SST_mom6)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "21e214ec",
+   "metadata": {},
+   "source": [
+    "## What to do when it goes wrong"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e9ea4bc3",
+   "metadata": {},
+   "source": [
+    "The model agnostic function worked flawlessly with two different ocean data sets, after the units were corrected in the MOM5 data. What about some ice data?\n",
+    "\n",
+    "Using the same experiment from which the first `SST` data was obtained, load the ice air temperature variable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5a35fa98",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "experiment = '025deg_jra55v13_iaf_gmredi6'\n",
+    "variable = 'Tair_m'\n",
+    "cat_subset = catalog[experiment]\n",
+    "var_search = cat_subset.search(variable=variable, frequency='1 monthly')\n",
+    "ds = var_search.to_dask()\n",
+    "ice_air_temp = ds[variable]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9cb77a16",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ice_air_temp"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ad25af0",
+   "metadata": {},
+   "source": [
+    "And try the generic routine"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "03d1c8e2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_global_temp_in_degrees_celcius(ice_air_temp)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5410c460",
+   "metadata": {},
+   "source": [
+    "The error message is\n",
+    "```\n",
+    "\"Receive multiple variables for key 'longitude': ['TLON', 'ULON']. Expected only one. Please pass a list ['longitude'] instead to get all variables matching 'longitude'.\"\n",
+    "```\n",
+    "This suggests that `cf_xarray` has found multiple longitude coordinates `TLON` and `ULON` and doesn't know how to resolve this automatically. \n",
+    "\n",
+    "Inspecting the `cf` information doesn't show multiple axes like it [does in the documentation](https://cf-xarray.readthedocs.io/en/latest/examples/introduction.html#what-attributes-have-been-discovered):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a6517029",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ice_air_temp.cf"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "11ebb16b",
+   "metadata": {},
+   "source": [
+    "[This is a bug](https://github.com/xarray-contrib/cf-xarray/issues/396), taking the mean alters the coordinates:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2314b99c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ice_air_temp.cf.mean('time').cf"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cd5eaaac",
+   "metadata": {},
+   "source": [
+    "So the solution is to drop the redundant velocity grid:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5df61aa2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ice_air_temp = ice_air_temp.drop_vars(['ULON', 'ULAT'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "95c4b37d",
+   "metadata": {},
+   "source": [
+    "Now trying to plot again using the generic function and there is another error:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "780283d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_global_temp_in_degrees_celcius(ice_air_temp)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b5b66c25",
+   "metadata": {},
+   "source": [
+    "This error:\n",
+    "```\n",
+    "ValueError: x and y arguments to pcolormesh cannot have non-finite values or be of type numpy.ma.core.MaskedArray with masked values\n",
+    "```\n",
+    "is because there are `NaN`'s in the coordinate variables, as [explained in the plotting with cartopy tutorial](https://cosima-recipes.readthedocs.io/en/latest/tutorials/Making_Maps_with_Cartopy.html#fixing-the-tripole).\n",
+    "\n",
+    "By following the instructions in that tutorial and the [Spatial selection with tripolar ACCESS-OM2 grid notebook](https://cosima-recipes.readthedocs.io/en/latest/documented_examples/Spatial_selection.html#gallery-documented-examples-spatial-selection-ipynb) the coordinates can be fixed by replacing them with coordinates from the ice grid input file. It requires some work, the dimensions must be renamed to match, and coordinates converted from radians to degrees."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3f961668",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "ice_grid = xr.open_dataset('/g/data/ik11/inputs/access-om2/input_eee21b65/cice_025deg/grid.nc').rename({'ny': 'nj', 'nx': 'ni'})\n",
     "ice_grid = ice_grid.pint.quantify()\n",
     "\n",
-    "ice_air_temp = ice_air_temp.assign_coords({'TLON': ice_grid.tlon.pint.to('degrees_E'), 'TLAT': ice_grid.tlat.pint.to('degrees_N')})\n",
+    "ice_air_temp = ice_air_temp.assign_coords({'TLON': ice_grid.tlon.pint.to('degrees_E'),\n",
+    "                                           'TLAT': ice_grid.tlat.pint.to('degrees_N')})\n",
     "ice_air_temp"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "f1403c81",
    "metadata": {},
    "source": [
     "Finally, the generic plotting routine works"
@@ -4839,28 +5156,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
+   "id": "6fe8925a",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plot_global_temp_in_degrees_celcius(ice_air_temp)"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "f980e941",
    "metadata": {},
    "source": [
     "One more step is to modify the original routine to take the vertical range as an argument, so it is more generally useful:"
@@ -4868,7 +5174,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
+   "id": "84164dda",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4894,6 +5201,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "953711e1",
    "metadata": {},
    "source": [
     "By specifying default values for the arguments it is completely backwards compatible, we have lost no functionality, but the ice air temperature can now be plotted with a range that better suits the range of the data"
@@ -4901,28 +5209,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
+   "id": "5c7deb9d",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plot_global_temp_in_degrees_celcius(ice_air_temp, vmin=-30)"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "c37505b3",
    "metadata": {},
    "source": [
     "## Conclusion"
@@ -4930,6 +5227,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "80db19e9",
    "metadata": {},
    "source": [
     "Model specific code to take a time mean and plot the data was converted to a model agnostic function with no loss of functionality.\n",
@@ -4958,7 +5256,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.17"
+   "version": "3.10.13"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
@@ -4969,5 +5267,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 4
+ "nbformat_minor": 5
 }