Modify an existing model tutorial.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run DICE model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "using MimiDICE2010\n",
    "m = MimiDICE2010.get_model()\n",
    "run(m)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "change of variable of fco22x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "using Mimi\n",
    "update_param!(m, :fco22x, 3.000)\n",
    "run(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: redefinition of constant years. This may fail, cause incorrect answers, or produce other errors.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[1995, 2005, 2015, 2025, 2035, 2045, 2055, 2065, 2075, 2085  …  2415, 2425, 2435, 2445, 2455, 2465, 2475, 2485, 2495, 2505]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "const ts = 10\n",
    "const years = collect(1995:ts:2505)\n",
    "nyears = length(years)\n",
    "set_dimension!(m, :time, years)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div style = \"float: left;\"><span>52×2 DataFrame</span></div><div style = \"float: right;\"><span style = \"font-style: italic;\">27 rows omitted</span></div><div style = \"clear: both;\"></div></div><div class = \"data-frame\" style = \"overflow-x: scroll;\"><table class = \"data-frame\" style = \"margin-bottom: 6px;\"><thead><tr class = \"header\"><th class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">Row</th><th style = \"text-align: left;\">time</th><th style = \"text-align: left;\">TOCEAN</th></tr><tr class = \"subheader headerLastRow\"><th class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\"></th><th title = \"Int64\" style = \"text-align: left;\">Int64</th><th title = \"Union{Missing, Float64}\" style = \"text-align: left;\">Float64?</th></tr></thead><tbody><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">1</td><td style = \"text-align: right;\">1995</td><td style = \"font-style: italic; text-align: right;\">missing</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">2</td><td style = \"text-align: right;\">2005</td><td style = \"text-align: right;\">0.0068</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">3</td><td style = \"text-align: right;\">2015</td><td style = \"text-align: right;\">0.04796</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">4</td><td style = \"text-align: right;\">2025</td><td style = \"text-align: right;\">0.094562</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">5</td><td style = \"text-align: right;\">2035</td><td style = \"text-align: right;\">0.168714</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">6</td><td style = \"text-align: right;\">2045</td><td style = \"text-align: right;\">0.269962</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">7</td><td style = \"text-align: right;\">2055</td><td style = \"text-align: right;\">0.395592</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">8</td><td style = \"text-align: right;\">2065</td><td style = \"text-align: right;\">0.541978</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">9</td><td style = \"text-align: right;\">2075</td><td style = \"text-align: right;\">0.705306</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">10</td><td style = \"text-align: right;\">2085</td><td style = \"text-align: right;\">0.881954</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">11</td><td style = \"text-align: right;\">2095</td><td style = \"text-align: right;\">1.06867</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">12</td><td style = \"text-align: right;\">2105</td><td style = \"text-align: right;\">1.26261</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">13</td><td style = \"text-align: right;\">2115</td><td style = \"text-align: right;\">1.4614</td></tr><tr><td style = \"text-align: right;\">&vellip;</td><td style = \"text-align: right;\">&vellip;</td><td style = \"text-align: right;\">&vellip;</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">41</td><td style = \"text-align: right;\">2395</td><td style = \"text-align: right;\">5.96672</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">42</td><td style = \"text-align: right;\">2405</td><td style = \"text-align: right;\">6.0371</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">43</td><td style = \"text-align: right;\">2415</td><td style = \"text-align: right;\">6.10299</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">44</td><td style = \"text-align: right;\">2425</td><td style = \"text-align: right;\">6.16477</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">45</td><td style = \"text-align: right;\">2435</td><td style = \"text-align: right;\">6.22277</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">46</td><td style = \"text-align: right;\">2445</td><td style = \"text-align: right;\">6.27731</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">47</td><td style = \"text-align: right;\">2455</td><td style = \"text-align: right;\">6.32863</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">48</td><td style = \"text-align: right;\">2465</td><td style = \"text-align: right;\">6.37698</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">49</td><td style = \"text-align: right;\">2475</td><td style = \"text-align: right;\">6.42257</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">50</td><td style = \"text-align: right;\">2485</td><td style = \"text-align: right;\">6.4656</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">51</td><td style = \"text-align: right;\">2495</td><td style = \"text-align: right;\">6.50622</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">52</td><td style = \"text-align: right;\">2505</td><td style = \"text-align: right;\">6.54459</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|cc}\n",
       "\t& time & TOCEAN\\\\\n",
       "\t\\hline\n",
       "\t& Int64 & Float64?\\\\\n",
       "\t\\hline\n",
       "\t1 & 1995 & \\emph{missing} \\\\\n",
       "\t2 & 2005 & 0.0068 \\\\\n",
       "\t3 & 2015 & 0.04796 \\\\\n",
       "\t4 & 2025 & 0.094562 \\\\\n",
       "\t5 & 2035 & 0.168714 \\\\\n",
       "\t6 & 2045 & 0.269962 \\\\\n",
       "\t7 & 2055 & 0.395592 \\\\\n",
       "\t8 & 2065 & 0.541978 \\\\\n",
       "\t9 & 2075 & 0.705306 \\\\\n",
       "\t10 & 2085 & 0.881954 \\\\\n",
       "\t11 & 2095 & 1.06867 \\\\\n",
       "\t12 & 2105 & 1.26261 \\\\\n",
       "\t13 & 2115 & 1.4614 \\\\\n",
       "\t14 & 2125 & 1.66358 \\\\\n",
       "\t15 & 2135 & 1.86789 \\\\\n",
       "\t16 & 2145 & 2.07327 \\\\\n",
       "\t17 & 2155 & 2.27882 \\\\\n",
       "\t18 & 2165 & 2.4838 \\\\\n",
       "\t19 & 2175 & 2.68762 \\\\\n",
       "\t20 & 2185 & 2.8898 \\\\\n",
       "\t21 & 2195 & 3.08997 \\\\\n",
       "\t22 & 2205 & 3.28785 \\\\\n",
       "\t23 & 2215 & 3.48322 \\\\\n",
       "\t24 & 2225 & 3.67591 \\\\\n",
       "\t25 & 2235 & 3.86584 \\\\\n",
       "\t26 & 2245 & 4.05293 \\\\\n",
       "\t27 & 2255 & 4.23714 \\\\\n",
       "\t28 & 2265 & 4.41676 \\\\\n",
       "\t29 & 2275 & 4.58901 \\\\\n",
       "\t30 & 2285 & 4.75232 \\\\\n",
       "\t$\\dots$ & $\\dots$ & $\\dots$ \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1m52×2 DataFrame\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m time  \u001b[0m\u001b[1m TOCEAN         \u001b[0m\n",
       "     │\u001b[90m Int64 \u001b[0m\u001b[90m Float64?       \u001b[0m\n",
       "─────┼───────────────────────\n",
       "   1 │  1995 \u001b[90m missing        \u001b[0m\n",
       "   2 │  2005        0.0068\n",
       "   3 │  2015        0.04796\n",
       "   4 │  2025        0.094562\n",
       "   5 │  2035        0.168714\n",
       "   6 │  2045        0.269962\n",
       "   7 │  2055        0.395592\n",
       "   8 │  2065        0.541978\n",
       "   9 │  2075        0.705306\n",
       "  10 │  2085        0.881954\n",
       "  11 │  2095        1.06867\n",
       "  ⋮  │   ⋮          ⋮\n",
       "  43 │  2415        6.10299\n",
       "  44 │  2425        6.16477\n",
       "  45 │  2435        6.22277\n",
       "  46 │  2445        6.27731\n",
       "  47 │  2455        6.32863\n",
       "  48 │  2465        6.37698\n",
       "  49 │  2475        6.42257\n",
       "  50 │  2485        6.4656\n",
       "  51 │  2495        6.50622\n",
       "  52 │  2505        6.54459\n",
       "\u001b[36m              31 rows omitted\u001b[0m"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "getdataframe(m, :climatedynamics, :TOCEAN)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot of TOCEAN that depends on the change of fco22x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.json",
       "data": {
        "values": [
         {
          "TOCEAN": "missing",
          "time": "1995-01-01"
         },
         {
          "TOCEAN": "0.0068",
          "time": "2005-01-01"
         },
         {
          "TOCEAN": "0.04796",
          "time": "2015-01-01"
         },
         {
          "TOCEAN": "0.09456200000000001",
          "time": "2025-01-01"
         },
         {
          "TOCEAN": "0.1687136917872626",
          "time": "2035-01-01"
         },
         {
          "TOCEAN": "0.26996160136363934",
          "time": "2045-01-01"
         },
         {
          "TOCEAN": "0.3955920526881301",
          "time": "2055-01-01"
         },
         {
          "TOCEAN": "0.5419776774289463",
          "time": "2065-01-01"
         },
         {
          "TOCEAN": "0.7053057812947202",
          "time": "2075-01-01"
         },
         {
          "TOCEAN": "0.8819542177249452",
          "time": "2085-01-01"
         },
         {
          "TOCEAN": "1.0686665827594433",
          "time": "2095-01-01"
         },
         {
          "TOCEAN": "1.2626149285843282",
          "time": "2105-01-01"
         },
         {
          "TOCEAN": "1.4614015007788803",
          "time": "2115-01-01"
         },
         {
          "TOCEAN": "1.6635806820365187",
          "time": "2125-01-01"
         },
         {
          "TOCEAN": "1.8678942034497195",
          "time": "2135-01-01"
         },
         {
          "TOCEAN": "2.0732714995193042",
          "time": "2145-01-01"
         },
         {
          "TOCEAN": "2.2788182023884644",
          "time": "2155-01-01"
         },
         {
          "TOCEAN": "2.4837989250833026",
          "time": "2165-01-01"
         },
         {
          "TOCEAN": "2.687617992793554",
          "time": "2175-01-01"
         },
         {
          "TOCEAN": "2.8898002248974293",
          "time": "2185-01-01"
         },
         {
          "TOCEAN": "3.089972905829532",
          "time": "2195-01-01"
         },
         {
          "TOCEAN": "3.2878494931917257",
          "time": "2205-01-01"
         },
         {
          "TOCEAN": "3.483215258840972",
          "time": "2215-01-01"
         },
         {
          "TOCEAN": "3.675914855112184",
          "time": "2225-01-01"
         },
         {
          "TOCEAN": "3.86584168768782",
          "time": "2235-01-01"
         },
         {
          "TOCEAN": "4.052928923093561",
          "time": "2245-01-01"
         },
         {
          "TOCEAN": "4.237141939413992",
          "time": "2255-01-01"
         },
         {
          "TOCEAN": "4.416758454365668",
          "time": "2265-01-01"
         },
         {
          "TOCEAN": "4.589011430817638",
          "time": "2275-01-01"
         },
         {
          "TOCEAN": "4.752319940053101",
          "time": "2285-01-01"
         },
         {
          "TOCEAN": "4.905923699322958",
          "time": "2295-01-01"
         },
         {
          "TOCEAN": "5.0496186989044025",
          "time": "2305-01-01"
         },
         {
          "TOCEAN": "5.183567040541357",
          "time": "2315-01-01"
         },
         {
          "TOCEAN": "5.308161258139942",
          "time": "2325-01-01"
         },
         {
          "TOCEAN": "5.42392858678177",
          "time": "2335-01-01"
         },
         {
          "TOCEAN": "5.531464440821783",
          "time": "2345-01-01"
         },
         {
          "TOCEAN": "5.631387149707258",
          "time": "2355-01-01"
         },
         {
          "TOCEAN": "5.724308060244715",
          "time": "2365-01-01"
         },
         {
          "TOCEAN": "5.8108126441680685",
          "time": "2375-01-01"
         },
         {
          "TOCEAN": "5.891449390812611",
          "time": "2385-01-01"
         },
         {
          "TOCEAN": "5.966724117448688",
          "time": "2395-01-01"
         },
         {
          "TOCEAN": "6.037097967553095",
          "time": "2405-01-01"
         },
         {
          "TOCEAN": "6.10298784365376",
          "time": "2415-01-01"
         },
         {
          "TOCEAN": "6.164768376178502",
          "time": "2425-01-01"
         },
         {
          "TOCEAN": "6.222774792798385",
          "time": "2435-01-01"
         },
         {
          "TOCEAN": "6.277306246606685",
          "time": "2445-01-01"
         },
         {
          "TOCEAN": "6.328629303216904",
          "time": "2455-01-01"
         },
         {
          "TOCEAN": "6.376981389514622",
          "time": "2465-01-01"
         },
         {
          "TOCEAN": "6.422574080269366",
          "time": "2475-01-01"
         },
         {
          "TOCEAN": "6.4655961506385795",
          "time": "2485-01-01"
         },
         {
          "TOCEAN": "6.506216358485256",
          "time": "2495-01-01"
         },
         {
          "TOCEAN": "6.5445859446910895",
          "time": "2505-01-01"
         }
        ]
       },
       "description": "plot for a specific component variable pair",
       "encoding": {
        "x": {
         "field": "time",
         "timeUnit": "utcyear",
         "type": "temporal"
        },
        "y": {
         "field": "TOCEAN",
         "type": "quantitative"
        }
       },
       "height": 410,
       "mark": {
        "type": "line"
       },
       "title": "climatedynamics : TOCEAN",
       "width": 450
      },
      "image/png": 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stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,264)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,234)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,205)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,176)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,146)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,117)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,88)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,59)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,29)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,0)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-label\" pointer-events=\"none\"><text text-anchor=\"end\" transform=\"translate(-7,413)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">0.0</text><text text-anchor=\"end\" transform=\"translate(-7,383.7142857142857)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">0.5</text><text text-anchor=\"end\" transform=\"translate(-7,354.42857142857144)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">1.0</text><text text-anchor=\"end\" transform=\"translate(-7,325.1428571428571)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">1.5</text><text text-anchor=\"end\" transform=\"translate(-7,295.8571428571429)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2.0</text><text text-anchor=\"end\" transform=\"translate(-7,266.57142857142856)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2.5</text><text text-anchor=\"end\" transform=\"translate(-7,237.28571428571428)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">3.0</text><text text-anchor=\"end\" transform=\"translate(-7,208)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">3.5</text><text text-anchor=\"end\" transform=\"translate(-7,178.71428571428572)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">4.0</text><text text-anchor=\"end\" transform=\"translate(-7,149.42857142857142)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">4.5</text><text text-anchor=\"end\" transform=\"translate(-7,120.14285714285714)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">5.0</text><text text-anchor=\"end\" transform=\"translate(-7,90.85714285714286)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">5.5</text><text text-anchor=\"end\" transform=\"translate(-7,61.57142857142859)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">6.0</text><text text-anchor=\"end\" transform=\"translate(-7,32.28571428571428)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">6.5</text><text text-anchor=\"end\" transform=\"translate(-7,3)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">7.0</text></g><g class=\"mark-rule role-axis-domain\" pointer-events=\"none\"><line transform=\"translate(0,410)\" x2=\"0\" y2=\"-410\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-title\" pointer-events=\"none\"><text text-anchor=\"middle\" transform=\"translate(-26,205) rotate(-90) translate(0,-2)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">TOCEAN</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"time (year): 1994; TOCEAN: NaN\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.824903099734799,409.60171428571425L17.647390403384264,407.19091428571426L26.47229350311906,404.4613685714286L35.29478080676853,400.11819805246034L44.119683906503326,394.18796334870115L52.942171210152786,386.8296083425524L61.76707430988759,378.25559317916174L70.58956161353706,368.68923280988065L79.41446471327185,358.3426815332532L88.23695201692131,347.4066715812326L97.05943932057077,336.0468398972036L105.88192662422023,324.4036263829513L114.70682972395502,312.56170290928964L123.5293170276045,300.5947680836593L132.3542201273393,288.56552645672645L141.17670743098876,276.5263624315328L150.00161053072355,264.52034867369224L158.82409783437302,252.58237470780614L167.64900093410782,240.740272541722L176.47148823775728,229.015872658556L185.29397554140675,217.4259582559132L194.11646284505622,205.98310626788592L202.94136594479102,194.69641562914353L211.76385324844045,183.57212972114195L220.58875634817525,172.61416307594854L229.41124365182475,161.824543548609L238.23614675155955,151.304147672868L247.058634055209,141.2150447663955L255.8835371549438,131.6498320826041L264.7060244585932,122.65304046822672L273.5285117622427,114.2366190641707L282.35099906589215,106.39107333972052L291.17590216562695,99.09341202323195L299.99838946927645,92.31275420278207L308.82329256901124,86.01422560900984L317.64577987266074,80.16160980286058L326.47068297239554,74.71909932852387L335.2931702760449,69.65240227015597L344.1180733757797,64.92939282383277L352.9405606794292,60.52044454943399L361.765463779164,56.398547614747315L370.5879510828135,52.5392834431369L379.4128541825483,48.92070939525915L388.23534148619774,45.52319070752314L397.06024458593254,42.3292055558942L405.88273188958203,39.32314081158133L414.70763498931683,36.491090042714994L423.53012229296627,33.82066101279428L432.35502539270107,31.300796891168893L441.1775126963505,28.921613288720724L450,26.674251810950494\" stroke=\"#4c78a8\" stroke-width=\"2\"/></g><g class=\"mark-group role-title\"><g transform=\"translate(225,-22)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-text role-title-text\" role=\"graphics-symbol\" aria-roledescription=\"title\" aria-label=\"Title text 'climatedynamics : TOCEAN'\" pointer-events=\"none\"><text text-anchor=\"middle\" transform=\"translate(0,10)\" font-family=\"sans-serif\" font-size=\"13px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">climatedynamics : TOCEAN</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g></g></g></svg>\n",
      "text/plain": [
       "@vlplot(\n",
       "    $schema=\"https://vega.github.io/schema/vega-lite/v3.json\",\n",
       "    height=410,\n",
       "    encoding={\n",
       "        x={\n",
       "            timeUnit=\"utcyear\",\n",
       "            field=\"time\",\n",
       "            type=\"temporal\"\n",
       "        },\n",
       "        y={\n",
       "            field=\"TOCEAN\",\n",
       "            type=\"quantitative\"\n",
       "        }\n",
       "    },\n",
       "    data={\n",
       "        values=JSON.Writer.JSONText(\"[{\\\"time\\\":\\\"1995-01-01\\\",\\\"TOCEAN\\\":\\\"missing\\\"},{\\\"time\\\":\\\"2005-01-01\\\",\\\"TOCEAN\\\":\\\"0.0068\\\"},{\\\"time\\\":\\\"2015-01-01\\\",\\\"TOCEAN\\\":\\\"0.04796\\\"},{\\\"time\\\":\\\"2025-01-01\\\",\\\"TOCEAN\\\":\\\"0.09456200000000001\\\"},{\\\"time\\\":\\\"2035-01-01\\\",\\\"TOCEAN\\\":\\\"0.1687136917872626\\\"},{\\\"time\\\":\\\"2045-01-01\\\",\\\"TOCEAN\\\":\\\"0.26996160136363934\\\"},{\\\"time\\\":\\\"2055-01-01\\\",\\\"TOCEAN\\\":\\\"0.3955920526881301\\\"},{\\\"time\\\":\\\"2065-01-01\\\",\\\"TOCEAN\\\":\\\"0.5419776774289463\\\"},{\\\"time\\\":\\\"2075-01-01\\\",\\\"TOCEAN\\\":\\\"0.7053057812947202\\\"},{\\\"time\\\":\\\"2085-01-01\\\",\\\"TOCEAN\\\":\\\"0.8819542177249452\\\"},{\\\"time\\\":\\\"2095-01-01\\\",\\\"TOCEAN\\\":\\\"1.0686665827594433\\\"},{\\\"time\\\":\\\"2105-01-01\\\",\\\"TOCEAN\\\":\\\"1.2626149285843282\\\"},{\\\"time\\\":\\\"2115-01-01\\\",\\\"TOCEAN\\\":\\\"1.4614015007788803\\\"},{\\\"time\\\":\\\"2125-01-01\\\",\\\"TOCEAN\\\":\\\"1.6635806820365187\\\"},{\\\"time\\\":\\\"2135-01-01\\\",\\\"TOCEAN\\\":\\\"1.8678942034497195\\\"},{\\\"time\\\":\\\"2145-01-01\\\",\\\"TOCEAN\\\":\\\"2.0732714995193042\\\"},{\\\"time\\\":\\\"2155-01-01\\\",\\\"TOCEAN\\\":\\\"2.2788182023884644\\\"},{\\\"time\\\":\\\"2165-01-01\\\",\\\"TOCEAN\\\":\\\"2.4837989250833026\\\"},{\\\"time\\\":\\\"2175-01-01\\\",\\\"TOCEAN\\\":\\\"2.687617992793554\\\"},{\\\"time\\\":\\\"2185-01-01\\\",\\\"TOCEAN\\\":\\\"2.8898002248974293\\\"},{\\\"time\\\":\\\"2195-01-01\\\",\\\"TOCEAN\\\":\\\"3.089972905829532\\\"},{\\\"time\\\":\\\"2205-01-01\\\",\\\"TOCEAN\\\":\\\"3.2878494931917257\\\"},{\\\"time\\\":\\\"2215-01-01\\\",\\\"TOCEAN\\\":\\\"3.483215258840972\\\"},{\\\"time\\\":\\\"2225-01-01\\\",\\\"TOCEAN\\\":\\\"3.675914855112184\\\"},{\\\"time\\\":\\\"2235-01-01\\\",\\\"TOCEAN\\\":\\\"3.86584168768782\\\"},{\\\"time\\\":\\\"2245-01-01\\\",\\\"TOCEAN\\\":\\\"4.052928923093561\\\"},{\\\"time\\\":\\\"2255-01-01\\\",\\\"TOCEAN\\\":\\\"4.237141939413992\\\"},{\\\"time\\\":\\\"2265-01-01\\\",\\\"TOCEAN\\\":\\\"4.416758454365668\\\"},{\\\"time\\\":\\\"2275-01-01\\\",\\\"TOCEAN\\\":\\\"4.589011430817638\\\"},{\\\"time\\\":\\\"2285-01-01\\\",\\\"TOCEAN\\\":\\\"4.752319940053101\\\"},{\\\"time\\\":\\\"2295-01-01\\\",\\\"TOCEAN\\\":\\\"4.905923699322958\\\"},{\\\"time\\\":\\\"2305-01-01\\\",\\\"TOCEAN\\\":\\\"5.0496186989044025\\\"},{\\\"time\\\":\\\"2315-01-01\\\",\\\"TOCEAN\\\":\\\"5.183567040541357\\\"},{\\\"time\\\":\\\"2325-01-01\\\",\\\"TOCEAN\\\":\\\"5.308161258139942\\\"},{\\\"time\\\":\\\"2335-01-01\\\",\\\"TOCEAN\\\":\\\"5.42392858678177\\\"},{\\\"time\\\":\\\"2345-01-01\\\",\\\"TOCEAN\\\":\\\"5.531464440821783\\\"},{\\\"time\\\":\\\"2355-01-01\\\",\\\"TOCEAN\\\":\\\"5.631387149707258\\\"},{\\\"time\\\":\\\"2365-01-01\\\",\\\"TOCEAN\\\":\\\"5.724308060244715\\\"},{\\\"time\\\":\\\"2375-01-01\\\",\\\"TOCEAN\\\":\\\"5.8108126441680685\\\"},{\\\"time\\\":\\\"2385-01-01\\\",\\\"TOCEAN\\\":\\\"5.891449390812611\\\"},{\\\"time\\\":\\\"2395-01-01\\\",\\\"TOCEAN\\\":\\\"5.966724117448688\\\"},{\\\"time\\\":\\\"2405-01-01\\\",\\\"TOCEAN\\\":\\\"6.037097967553095\\\"},{\\\"time\\\":\\\"2415-01-01\\\",\\\"TOCEAN\\\":\\\"6.10298784365376\\\"},{\\\"time\\\":\\\"2425-01-01\\\",\\\"TOCEAN\\\":\\\"6.164768376178502\\\"},{\\\"time\\\":\\\"2435-01-01\\\",\\\"TOCEAN\\\":\\\"6.222774792798385\\\"},{\\\"time\\\":\\\"2445-01-01\\\",\\\"TOCEAN\\\":\\\"6.277306246606685\\\"},{\\\"time\\\":\\\"2455-01-01\\\",\\\"TOCEAN\\\":\\\"6.328629303216904\\\"},{\\\"time\\\":\\\"2465-01-01\\\",\\\"TOCEAN\\\":\\\"6.376981389514622\\\"},{\\\"time\\\":\\\"2475-01-01\\\",\\\"TOCEAN\\\":\\\"6.422574080269366\\\"},{\\\"time\\\":\\\"2485-01-01\\\",\\\"TOCEAN\\\":\\\"6.4655961506385795\\\"},{\\\"time\\\":\\\"2495-01-01\\\",\\\"TOCEAN\\\":\\\"6.506216358485256\\\"},{\\\"time\\\":\\\"2505-01-01\\\",\\\"TOCEAN\\\":\\\"6.5445859446910895\\\"}]\")\n",
       "    },\n",
       "    title=\"climatedynamics : TOCEAN\",\n",
       "    width=450,\n",
       "    mark={\n",
       "        type=\"line\"\n",
       "    },\n",
       "    description=\"plot for a specific component variable pair\"\n",
       ")"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Mimi.plot(m, :climatedynamics, :TOCEAN)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change of more than one variable "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "params = Dict{Any, Any}()\n",
    "params[(:grosseconomy, :gama)]         = 0.00008162\n",
    "params[(:grosseconomy, :dk)]         = 0.00204626\n",
    "\n",
    "update_params!(m, params)\n",
    "run(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div style = \"float: left;\"><span>60×2 DataFrame</span></div><div style = \"float: right;\"><span style = \"font-style: italic;\">35 rows omitted</span></div><div style = \"clear: both;\"></div></div><div class = \"data-frame\" style = \"overflow-x: scroll;\"><table class = \"data-frame\" style = \"margin-bottom: 6px;\"><thead><tr class = \"header\"><th class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">Row</th><th style = \"text-align: left;\">time</th><th style = \"text-align: left;\">TATM</th></tr><tr class = \"subheader headerLastRow\"><th class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\"></th><th title = \"Int64\" style = \"text-align: left;\">Int64</th><th title = \"Union{Missing, Float64}\" style = \"text-align: left;\">Float64?</th></tr></thead><tbody><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">1</td><td style = \"text-align: right;\">2005</td><td style = \"text-align: right;\">0.83</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">2</td><td style = \"text-align: right;\">2015</td><td style = \"text-align: right;\">0.98</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">3</td><td style = \"text-align: right;\">2025</td><td style = \"text-align: right;\">1.71282</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">4</td><td style = \"text-align: right;\">2035</td><td style = \"text-align: right;\">2.43935</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">5</td><td style = \"text-align: right;\">2045</td><td style = \"text-align: right;\">3.10974</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">6</td><td style = \"text-align: right;\">2055</td><td style = \"text-align: right;\">3.70583</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">7</td><td style = \"text-align: right;\">2065</td><td style = \"text-align: right;\">4.22546</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">8</td><td style = \"text-align: right;\">2075</td><td style = \"text-align: right;\">4.67396</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">9</td><td style = \"text-align: right;\">2085</td><td style = \"text-align: right;\">5.05969</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">10</td><td style = \"text-align: right;\">2095</td><td style = \"text-align: right;\">5.39168</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">11</td><td style = \"text-align: right;\">2105</td><td style = \"text-align: right;\">5.67849</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">12</td><td style = \"text-align: right;\">2115</td><td style = \"text-align: right;\">5.93877</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">13</td><td style = \"text-align: right;\">2125</td><td style = \"text-align: right;\">6.17565</td></tr><tr><td style = \"text-align: right;\">&vellip;</td><td style = \"text-align: right;\">&vellip;</td><td style = \"text-align: right;\">&vellip;</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">49</td><td style = \"text-align: right;\">2485</td><td style = \"text-align: right;\">7.30671</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">50</td><td style = \"text-align: right;\">2495</td><td style = \"text-align: right;\">7.29882</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">51</td><td style = \"text-align: right;\">2505</td><td style = \"text-align: right;\">7.29147</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">52</td><td style = \"text-align: right;\">2515</td><td style = \"text-align: right;\">7.28452</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">53</td><td style = \"text-align: right;\">2525</td><td style = \"text-align: right;\">7.27787</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">54</td><td style = \"text-align: right;\">2535</td><td style = \"text-align: right;\">7.27142</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">55</td><td style = \"text-align: right;\">2545</td><td style = \"text-align: right;\">7.26509</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">56</td><td style = \"text-align: right;\">2555</td><td style = \"text-align: right;\">7.25883</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">57</td><td style = \"text-align: right;\">2565</td><td style = \"text-align: right;\">7.25258</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">58</td><td style = \"text-align: right;\">2575</td><td style = \"text-align: right;\">7.24631</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">59</td><td style = \"text-align: right;\">2585</td><td style = \"text-align: right;\">7.23998</td></tr><tr><td class = \"rowNumber\" style = \"font-weight: bold; text-align: right;\">60</td><td style = \"text-align: right;\">2595</td><td style = \"text-align: right;\">7.23357</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|cc}\n",
       "\t& time & TATM\\\\\n",
       "\t\\hline\n",
       "\t& Int64 & Float64?\\\\\n",
       "\t\\hline\n",
       "\t1 & 2005 & 0.83 \\\\\n",
       "\t2 & 2015 & 0.98 \\\\\n",
       "\t3 & 2025 & 1.71282 \\\\\n",
       "\t4 & 2035 & 2.43935 \\\\\n",
       "\t5 & 2045 & 3.10974 \\\\\n",
       "\t6 & 2055 & 3.70583 \\\\\n",
       "\t7 & 2065 & 4.22546 \\\\\n",
       "\t8 & 2075 & 4.67396 \\\\\n",
       "\t9 & 2085 & 5.05969 \\\\\n",
       "\t10 & 2095 & 5.39168 \\\\\n",
       "\t11 & 2105 & 5.67849 \\\\\n",
       "\t12 & 2115 & 5.93877 \\\\\n",
       "\t13 & 2125 & 6.17565 \\\\\n",
       "\t14 & 2135 & 6.39228 \\\\\n",
       "\t15 & 2145 & 6.59164 \\\\\n",
       "\t16 & 2155 & 6.77637 \\\\\n",
       "\t17 & 2165 & 6.9488 \\\\\n",
       "\t18 & 2175 & 7.11088 \\\\\n",
       "\t19 & 2185 & 7.2643 \\\\\n",
       "\t20 & 2195 & 7.41043 \\\\\n",
       "\t21 & 2205 & 7.55045 \\\\\n",
       "\t22 & 2215 & 7.68531 \\\\\n",
       "\t23 & 2225 & 7.8158 \\\\\n",
       "\t24 & 2235 & 7.94259 \\\\\n",
       "\t25 & 2245 & 8.06621 \\\\\n",
       "\t26 & 2255 & 8.14371 \\\\\n",
       "\t27 & 2265 & 8.14856 \\\\\n",
       "\t28 & 2275 & 8.11024 \\\\\n",
       "\t29 & 2285 & 8.04821 \\\\\n",
       "\t30 & 2295 & 7.97509 \\\\\n",
       "\t$\\dots$ & $\\dots$ & $\\dots$ \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1m60×2 DataFrame\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m time  \u001b[0m\u001b[1m TATM     \u001b[0m\n",
       "     │\u001b[90m Int64 \u001b[0m\u001b[90m Float64? \u001b[0m\n",
       "─────┼─────────────────\n",
       "   1 │  2005   0.83\n",
       "   2 │  2015   0.98\n",
       "   3 │  2025   1.71282\n",
       "   4 │  2035   2.43935\n",
       "   5 │  2045   3.10974\n",
       "   6 │  2055   3.70583\n",
       "   7 │  2065   4.22546\n",
       "   8 │  2075   4.67396\n",
       "   9 │  2085   5.05969\n",
       "  10 │  2095   5.39168\n",
       "  11 │  2105   5.67849\n",
       "  ⋮  │   ⋮       ⋮\n",
       "  51 │  2505   7.29147\n",
       "  52 │  2515   7.28452\n",
       "  53 │  2525   7.27787\n",
       "  54 │  2535   7.27142\n",
       "  55 │  2545   7.26509\n",
       "  56 │  2555   7.25883\n",
       "  57 │  2565   7.25258\n",
       "  58 │  2575   7.24631\n",
       "  59 │  2585   7.23998\n",
       "  60 │  2595   7.23357\n",
       "\u001b[36m        39 rows omitted\u001b[0m"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "getdataframe(m, :climatedynamics, :TATM)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot of TATM that depens on the change of gama and dk for the component grosseeconomy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.json",
       "data": {
        "values": [
         {
          "TATM": "0.83",
          "time": "2005-01-01"
         },
         {
          "TATM": "0.98",
          "time": "2015-01-01"
         },
         {
          "TATM": "1.712822975730652",
          "time": "2025-01-01"
         },
         {
          "TATM": "2.439347554924365",
          "time": "2035-01-01"
         },
         {
          "TATM": "3.109738944077634",
          "time": "2045-01-01"
         },
         {
          "TATM": "3.7058331924524923",
          "time": "2055-01-01"
         },
         {
          "TATM": "4.2254571872259925",
          "time": "2065-01-01"
         },
         {
          "TATM": "4.673958532850393",
          "time": "2075-01-01"
         },
         {
          "TATM": "5.059689730417582",
          "time": "2085-01-01"
         },
         {
          "TATM": "5.391676541705085",
          "time": "2095-01-01"
         },
         {
          "TATM": "5.678486832661902",
          "time": "2105-01-01"
         },
         {
          "TATM": "5.938772846955416",
          "time": "2115-01-01"
         },
         {
          "TATM": "6.175648572856375",
          "time": "2125-01-01"
         },
         {
          "TATM": "6.392281063431469",
          "time": "2135-01-01"
         },
         {
          "TATM": "6.591637420565192",
          "time": "2145-01-01"
         },
         {
          "TATM": "6.776372904941526",
          "time": "2155-01-01"
         },
         {
          "TATM": "6.94879761380718",
          "time": "2165-01-01"
         },
         {
          "TATM": "7.110884811368567",
          "time": "2175-01-01"
         },
         {
          "TATM": "7.26429945520792",
          "time": "2185-01-01"
         },
         {
          "TATM": "7.410434735261296",
          "time": "2195-01-01"
         },
         {
          "TATM": "7.550449958992667",
          "time": "2205-01-01"
         },
         {
          "TATM": "7.6853063575920855",
          "time": "2215-01-01"
         },
         {
          "TATM": "7.81579925635002",
          "time": "2225-01-01"
         },
         {
          "TATM": "7.94258609891358",
          "time": "2235-01-01"
         },
         {
          "TATM": "8.06621037011092",
          "time": "2245-01-01"
         },
         {
          "TATM": "8.14371118884675",
          "time": "2255-01-01"
         },
         {
          "TATM": "8.148556747998752",
          "time": "2265-01-01"
         },
         {
          "TATM": "8.110240317076347",
          "time": "2275-01-01"
         },
         {
          "TATM": "8.048209606966564",
          "time": "2285-01-01"
         },
         {
          "TATM": "7.9750902874662195",
          "time": "2295-01-01"
         },
         {
          "TATM": "7.898889137496328",
          "time": "2305-01-01"
         },
         {
          "TATM": "7.824502276974807",
          "time": "2315-01-01"
         },
         {
          "TATM": "7.754748568916868",
          "time": "2325-01-01"
         },
         {
          "TATM": "7.691077447120541",
          "time": "2335-01-01"
         },
         {
          "TATM": "7.634052772918403",
          "time": "2345-01-01"
         },
         {
          "TATM": "7.583682200160935",
          "time": "2355-01-01"
         },
         {
          "TATM": "7.539639793197552",
          "time": "2365-01-01"
         },
         {
          "TATM": "7.501414865266874",
          "time": "2375-01-01"
         },
         {
          "TATM": "7.468409898271246",
          "time": "2385-01-01"
         },
         {
          "TATM": "7.440003449023002",
          "time": "2395-01-01"
         },
         {
          "TATM": "7.415589129543144",
          "time": "2405-01-01"
         },
         {
          "TATM": "7.394598393599249",
          "time": "2415-01-01"
         },
         {
          "TATM": "7.3765125138534415",
          "time": "2425-01-01"
         },
         {
          "TATM": "7.360867485853702",
          "time": "2435-01-01"
         },
         {
          "TATM": "7.347254436190709",
          "time": "2445-01-01"
         },
         {
          "TATM": "7.335317297258441",
          "time": "2455-01-01"
         },
         {
          "TATM": "7.324748939115395",
          "time": "2465-01-01"
         },
         {
          "TATM": "7.3152865490055206",
          "time": "2475-01-01"
         },
         {
          "TATM": "7.306706771051505",
          "time": "2485-01-01"
         },
         {
          "TATM": "7.298820926902059",
          "time": "2495-01-01"
         },
         {
          "TATM": "7.2914705073622885",
          "time": "2505-01-01"
         },
         {
          "TATM": "7.284523037189052",
          "time": "2515-01-01"
         },
         {
          "TATM": "7.2778683574008225",
          "time": "2525-01-01"
         },
         {
          "TATM": "7.271415332453634",
          "time": "2535-01-01"
         },
         {
          "TATM": "7.265088966952725",
          "time": "2545-01-01"
         },
         {
          "TATM": "7.258827903594902",
          "time": "2555-01-01"
         },
         {
          "TATM": "7.252582267530033",
          "time": "2565-01-01"
         },
         {
          "TATM": "7.246311820031337",
          "time": "2575-01-01"
         },
         {
          "TATM": "7.239984384710947",
          "time": "2585-01-01"
         },
         {
          "TATM": "7.23357451144269",
          "time": "2595-01-01"
         }
        ]
       },
       "description": "plot for a specific component variable pair",
       "encoding": {
        "x": {
         "field": "time",
         "timeUnit": "utcyear",
         "type": "temporal"
        },
        "y": {
         "field": "TATM",
         "type": "quantitative"
        }
       },
       "height": 410,
       "mark": {
        "type": "line"
       },
       "title": "climatedynamics : TATM",
       "width": 450
      },
      "image/png": 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translate(0,-2)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">TATM</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"time (year): 2004; TATM: 0.83\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" 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      "text/plain": [
       "@vlplot(\n",
       "    $schema=\"https://vega.github.io/schema/vega-lite/v3.json\",\n",
       "    height=410,\n",
       "    encoding={\n",
       "        x={\n",
       "            timeUnit=\"utcyear\",\n",
       "            field=\"time\",\n",
       "            type=\"temporal\"\n",
       "        },\n",
       "        y={\n",
       "            field=\"TATM\",\n",
       "            type=\"quantitative\"\n",
       "        }\n",
       "    },\n",
       "    data={\n",
       "        values=JSON.Writer.JSONText(\"[{\\\"time\\\":\\\"2005-01-01\\\",\\\"TATM\\\":\\\"0.83\\\"},{\\\"time\\\":\\\"2015-01-01\\\",\\\"TATM\\\":\\\"0.98\\\"},{\\\"time\\\":\\\"2025-01-01\\\",\\\"TATM\\\":\\\"1.712822975730652\\\"},{\\\"time\\\":\\\"2035-01-01\\\",\\\"TATM\\\":\\\"2.439347554924365\\\"},{\\\"time\\\":\\\"2045-01-01\\\",\\\"TATM\\\":\\\"3.109738944077634\\\"},{\\\"time\\\":\\\"2055-01-01\\\",\\\"TATM\\\":\\\"3.7058331924524923\\\"},{\\\"time\\\":\\\"2065-01-01\\\",\\\"TATM\\\":\\\"4.2254571872259925\\\"},{\\\"time\\\":\\\"2075-01-01\\\",\\\"TATM\\\":\\\"4.673958532850393\\\"},{\\\"time\\\":\\\"2085-01-01\\\",\\\"TATM\\\":\\\"5.059689730417582\\\"},{\\\"time\\\":\\\"2095-01-01\\\",\\\"TATM\\\":\\\"5.391676541705085\\\"},{\\\"time\\\":\\\"2105-01-01\\\",\\\"TATM\\\":\\\"5.678486832661902\\\"},{\\\"time\\\":\\\"2115-01-01\\\",\\\"TATM\\\":\\\"5.938772846955416\\\"},{\\\"time\\\":\\\"2125-01-01\\\",\\\"TATM\\\":\\\"6.175648572856375\\\"},{\\\"time\\\":\\\"2135-01-01\\\",\\\"TATM\\\":\\\"6.392281063431469\\\"},{\\\"time\\\":\\\"2145-01-01\\\",\\\"TATM\\\":\\\"6.591637420565192\\\"},{\\\"time\\\":\\\"2155-01-01\\\",\\\"TATM\\\":\\\"6.776372904941526\\\"},{\\\"time\\\":\\\"2165-01-01\\\",\\\"TATM\\\":\\\"6.94879761380718\\\"},{\\\"time\\\":\\\"2175-01-01\\\",\\\"TATM\\\":\\\"7.110884811368567\\\"},{\\\"time\\\":\\\"2185-01-01\\\",\\\"TATM\\\":\\\"7.26429945520792\\\"},{\\\"time\\\":\\\"2195-01-01\\\",\\\"TATM\\\":\\\"7.410434735261296\\\"},{\\\"time\\\":\\\"2205-01-01\\\",\\\"TATM\\\":\\\"7.550449958992667\\\"},{\\\"time\\\":\\\"2215-01-01\\\",\\\"TATM\\\":\\\"7.6853063575920855\\\"},{\\\"time\\\":\\\"2225-01-01\\\",\\\"TATM\\\":\\\"7.81579925635002\\\"},{\\\"time\\\":\\\"2235-01-01\\\",\\\"TATM\\\":\\\"7.94258609891358\\\"},{\\\"time\\\":\\\"2245-01-01\\\",\\\"TATM\\\":\\\"8.06621037011092\\\"},{\\\"time\\\":\\\"2255-01-01\\\",\\\"TATM\\\":\\\"8.14371118884675\\\"},{\\\"time\\\":\\\"2265-01-01\\\",\\\"TATM\\\":\\\"8.148556747998752\\\"},{\\\"time\\\":\\\"2275-01-01\\\",\\\"TATM\\\":\\\"8.110240317076347\\\"},{\\\"time\\\":\\\"2285-01-01\\\",\\\"TATM\\\":\\\"8.048209606966564\\\"},{\\\"time\\\":\\\"2295-01-01\\\",\\\"TATM\\\":\\\"7.9750902874662195\\\"},{\\\"time\\\":\\\"2305-01-01\\\",\\\"TATM\\\":\\\"7.898889137496328\\\"},{\\\"time\\\":\\\"2315-01-01\\\",\\\"TATM\\\":\\\"7.824502276974807\\\"},{\\\"time\\\":\\\"2325-01-01\\\",\\\"TATM\\\":\\\"7.754748568916868\\\"},{\\\"time\\\":\\\"2335-01-01\\\",\\\"TATM\\\":\\\"7.691077447120541\\\"},{\\\"time\\\":\\\"2345-01-01\\\",\\\"TATM\\\":\\\"7.634052772918403\\\"},{\\\"time\\\":\\\"2355-01-01\\\",\\\"TATM\\\":\\\"7.583682200160935\\\"},{\\\"time\\\":\\\"2365-01-01\\\",\\\"TATM\\\":\\\"7.539639793197552\\\"},{\\\"time\\\":\\\"2375-01-01\\\",\\\"TATM\\\":\\\"7.501414865266874\\\"},{\\\"time\\\":\\\"2385-01-01\\\",\\\"TATM\\\":\\\"7.468409898271246\\\"},{\\\"time\\\":\\\"2395-01-01\\\",\\\"TATM\\\":\\\"7.440003449023002\\\"},{\\\"time\\\":\\\"2405-01-01\\\",\\\"TATM\\\":\\\"7.415589129543144\\\"},{\\\"time\\\":\\\"2415-01-01\\\",\\\"TATM\\\":\\\"7.394598393599249\\\"},{\\\"time\\\":\\\"2425-01-01\\\",\\\"TATM\\\":\\\"7.3765125138534415\\\"},{\\\"time\\\":\\\"2435-01-01\\\",\\\"TATM\\\":\\\"7.360867485853702\\\"},{\\\"time\\\":\\\"2445-01-01\\\",\\\"TATM\\\":\\\"7.347254436190709\\\"},{\\\"time\\\":\\\"2455-01-01\\\",\\\"TATM\\\":\\\"7.335317297258441\\\"},{\\\"time\\\":\\\"2465-01-01\\\",\\\"TATM\\\":\\\"7.324748939115395\\\"},{\\\"time\\\":\\\"2475-01-01\\\",\\\"TATM\\\":\\\"7.3152865490055206\\\"},{\\\"time\\\":\\\"2485-01-01\\\",\\\"TATM\\\":\\\"7.306706771051505\\\"},{\\\"time\\\":\\\"2495-01-01\\\",\\\"TATM\\\":\\\"7.298820926902059\\\"},{\\\"time\\\":\\\"2505-01-01\\\",\\\"TATM\\\":\\\"7.2914705073622885\\\"},{\\\"time\\\":\\\"2515-01-01\\\",\\\"TATM\\\":\\\"7.284523037189052\\\"},{\\\"time\\\":\\\"2525-01-01\\\",\\\"TATM\\\":\\\"7.2778683574008225\\\"},{\\\"time\\\":\\\"2535-01-01\\\",\\\"TATM\\\":\\\"7.271415332453634\\\"},{\\\"time\\\":\\\"2545-01-01\\\",\\\"TATM\\\":\\\"7.265088966952725\\\"},{\\\"time\\\":\\\"2555-01-01\\\",\\\"TATM\\\":\\\"7.258827903594902\\\"},{\\\"time\\\":\\\"2565-01-01\\\",\\\"TATM\\\":\\\"7.252582267530033\\\"},{\\\"time\\\":\\\"2575-01-01\\\",\\\"TATM\\\":\\\"7.246311820031337\\\"},{\\\"time\\\":\\\"2585-01-01\\\",\\\"TATM\\\":\\\"7.239984384710947\\\"},{\\\"time\\\":\\\"2595-01-01\\\",\\\"TATM\\\":\\\"7.23357451144269\\\"}]\")\n",
       "    },\n",
       "    title=\"climatedynamics : TATM\",\n",
       "    width=450,\n",
       "    mark={\n",
       "        type=\"line\"\n",
       "    },\n",
       "    description=\"plot for a specific component variable pair\"\n",
       ")"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Mimi.plot(m, :climatedynamics, :TATM)\n"
   ]
  }
 ],
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   "mimetype": "application/julia",
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