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Add goes2go downloader functionality
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"id": "3aea64b8-4c4c-478f-85a3-a5c36321c4c9", | ||
"metadata": {}, | ||
"source": [ | ||
"# Download GOES\n", | ||
"\n", | ||
"This notebook demonstrates downloading a short time series of GOES-R ABI imagery." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 12, | ||
"id": "5c0d77eb-457b-4b4d-a669-73778a54637e", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import goes_ortho as go\n", | ||
"import xarray as xr" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "0e01f57b-bbbe-4ebf-9c25-fff635326c2d", | ||
"metadata": {}, | ||
"source": [ | ||
"First, specify the time range, location bounds, satellite, product (and if applicable, band and variable) that we'd like to access.\n", | ||
"\n", | ||
"We will also need to provide an API key for [OpenTopography.org](https://portal.opentopography.org/requestService?service=api) which you can create with a free account. This allows goes_ortho to access digital elevation models to perform the orthorectification step.\n", | ||
"\n", | ||
"The workflow below was developed to read a json file containing information about what we'd like to download. This was done to 1) allow these functions to run through github actions (still an experimental feature) and 2) keep a record of datasets we've downloaded. This is something that may change in the near future since it adds an unnecessary step for most use cases." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 3, | ||
"id": "6fc6c19c-f21f-4319-a45e-47434b933600", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"lon = -119.31212\n", | ||
"lat = 37.88175\n", | ||
"z = 2811 # elevation in meters" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 8, | ||
"id": "28208c5f-e93c-4ce9-b4f7-c4c7ea14e12e", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"startDatetime = \"2024-04-19T00:00:00Z\"\n", | ||
"endDatetime = \"2024-04-19T00:59:00Z\"\n", | ||
"[min_lon, min_lat, max_lon, max_lat] = [lon-1, lat-1, lon+1, lat+1] # set bounds to just a little area around the location we want\n", | ||
"satellite = \"goes18\"\n", | ||
"product = \"ABI-L1b-RadC\"\n", | ||
"band = 2\n", | ||
"variable = \"Rad\"\n", | ||
"OPENTOPO_API_KEY = \"585b1d1639bc5ef8a4a5bdea7e45a8d1\"" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "8a4c97cb-b630-4771-8e80-4c7f70c0f1bf", | ||
"metadata": {}, | ||
"source": [ | ||
"Using the data above, we make the required json file." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 9, | ||
"id": "cac7ae71-01db-4fa3-9e9f-856b82ff738b", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Make request file from user input\n", | ||
"go.get_data.make_request_json(\n", | ||
" f\"{satellite}-example-ACMC\",\n", | ||
" startDatetime,\n", | ||
" endDatetime,\n", | ||
" [min_lon, min_lat, max_lon, max_lat],\n", | ||
" satellite,\n", | ||
" product,\n", | ||
" band,\n", | ||
" variable,\n", | ||
" OPENTOPO_API_KEY,\n", | ||
")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 10, | ||
"id": "9fbfaf9c-938a-475a-a1f7-f2a36b062505", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"Estimated 1 batches to download\n", | ||
"Batch number 1\n", | ||
"Download batch of imagery from 2024-04-19 00:00:00+00:00 to 2024-04-19 03:00:00+00:00\n", | ||
"📦 Finished downloading [576] files to [/home/spestana/data/noaa-goes18/ABI-L1b-RadC].\n", | ||
"Cropping image batch to [-120.31212, 36.88175, -118.31212, 38.88175]\n" | ||
] | ||
}, | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"100%|██████████| 576/576 [01:44<00:00, 5.52it/s]" | ||
] | ||
}, | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"Done\n", | ||
"CPU times: user 1min 58s, sys: 22 s, total: 2min 20s\n", | ||
"Wall time: 2min 50s\n" | ||
] | ||
}, | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"%%time\n", | ||
"filepaths = go.get_data.download_abi_goes2go(f\"{satellite}-example-ACMC.json\")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 11, | ||
"id": "738b548c-8807-4fb8-82c2-eb380a5284c8", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"\n", | ||
"Files will be downloaded and then cropped to these bounds:\n", | ||
"\t(-120.31212,38.88175).\t.(-118.31212,38.88175)\n", | ||
"\n", | ||
"\n", | ||
"\n", | ||
"\t(-120.31212,36.88175).\t.(-118.31212,36.88175)\n", | ||
"\n", | ||
"For each S3 bucket, download the corresponding observations\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02\n", | ||
"Downloading... the product ABI-L1b-RadC \n", | ||
"Downloading dataset to... 00 UTC\n", | ||
"OR_ABI-L1b-RadC-M6C02_G18_s20241100056172_e20241100058545_c20241100058573.nc: [##########] 100% 67.930455 MB/67.930455 MB\n", | ||
"Subsetting files in...goes18/2024/4/19/ABI-L1b-RadC/00/C02\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02/OR_ABI-L1b-RadC-M6C02_G18_s20241100036172_e20241100038545_c20241100038570.nc\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02/OR_ABI-L1b-RadC-M6C02_G18_s20241100006172_e20241100008545_c20241100008570.nc\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02/OR_ABI-L1b-RadC-M6C02_G18_s20241100046172_e20241100048545_c20241100048571.nc\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02/OR_ABI-L1b-RadC-M6C02_G18_s20241100021172_e20241100023545_c20241100023570.nc\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02/OR_ABI-L1b-RadC-M6C02_G18_s20241100011172_e20241100013545_c20241100013573.nc\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02/OR_ABI-L1b-RadC-M6C02_G18_s20241100016172_e20241100018545_c20241100018577.nc\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02/OR_ABI-L1b-RadC-M6C02_G18_s20241100026172_e20241100028545_c20241100028580.nc\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02/OR_ABI-L1b-RadC-M6C02_G18_s20241100031172_e20241100033545_c20241100033572.nc\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02/OR_ABI-L1b-RadC-M6C02_G18_s20241100056172_e20241100058545_c20241100058573.nc\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02/OR_ABI-L1b-RadC-M6C02_G18_s20241100001172_e20241100003545_c20241100003572.nc\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02/OR_ABI-L1b-RadC-M6C02_G18_s20241100041172_e20241100043545_c20241100043570.nc\n", | ||
"goes18/2024/4/19/ABI-L1b-RadC/00/C02/OR_ABI-L1b-RadC-M6C02_G18_s20241100051172_e20241100053545_c20241100053568.nc\n", | ||
"Done\n", | ||
"CPU times: user 15.7 s, sys: 4.8 s, total: 20.5 s\n", | ||
"Wall time: 51 s\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"%%time\n", | ||
"filepaths = go.get_data.download_abi_goespy(f\"{satellite}-example-ACMC.json\")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "bd893536-d241-4966-a49c-dd93729d6c43", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "goes-test-env", | ||
"language": "python", | ||
"name": "goes-test-env" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.12.5" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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