add_station_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "aa78c7ed-c26e-400a-bfde-0d33782b2f5f",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "# Reading external station data into Pyaerocom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "04b9bd17-3014-430c-8439-dc1a0663804c",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pyaerocom as pya\n",
    "from pyaerocom.io.utils import browse_database\n",
    "from pyaerocom.griddeddata import GriddedData\n",
    "from pyaerocom.ungriddeddata import UngriddedData\n",
    "import pandas as pd\n",
    "from pyaerocom.stationdata import StationData\n",
    "from pyaerocom.colocation.colocation_utils import colocate_gridded_ungridded\n",
    "from pyaerocom.io.readgridded import ReadGridded\n",
    "import xarray as xr\n",
    "import cartopy.crs as ccrs\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "from pyaerocom.plot.plotscatter import plot_scatter_aerocom\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34fb24c8-07ae-4c90-9df5-7777b2fb2cd0",
   "metadata": {},
   "source": [
    "To demonstrate how to add station data that outside of the AeroCom database we will use monthly data of coarse mode AOD from 23 AERONET stations in East Asia (this data are also available in AeroCom database).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "de8540eb-c683-4a25-8bbf-7d7993bb263f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Aeronet SDA coarse mode AOD Monthly data from East Asian stations\n",
      "\n",
      "\n",
      ",Longitude,Latitude\n",
      "Baengnyeong,124.630278,37.966111\n",
      "Beijing_RADI,116.3786,40.0048\n",
      "Chen-Kung_Univ,120.204664,22.993419\n",
      "Dalanzadgad,104.419167,43.577222\n",
      "EPA-NCU,121.185483,24.967533\n",
      "Gwangju_GIST,126.843139,35.228278\n",
      "Hong_Kong_Hok_Tsui,114.258,22.2097\n",
      "Hong_Kong_PolyU,114.179722,22.303333\n",
      "Lanzhou_City,103.8534,36.04805\n",
      "Lulin,120.873611,23.468611\n",
      "Minqin,102.959,38.607\n",
      "NAM_CO,90.96245,30.772517\n",
      "NCU_Taiwan,121.187508,24.967662\n",
      "NUIST,118.71715,32.206483\n",
      "Noto,137.136944,37.334444\n",
      "Osaka,135.590633,34.650933\n",
      "QOMS_CAS,86.948056,28.365\n",
      "SACOL,104.137083,35.946\n",
      "Taihu,120.215333,31.421\n",
      "Taipei_CWB,121.53837,25.014683\n",
      "XiangHe,116.9615,39.7536\n",
      "Xinglong,117.578333,40.396389\n",
      "Yeomsan-Myeon,126.303012,35.23666\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!head -n 28 demo_datasets/AERONET_V2_SDA_od550gt1aer2010_EastAsia.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97b130f9-92f6-4b94-8e4f-5e8fcccce667",
   "metadata": {},
   "source": [
    "Read in the station coordinates and the station AOD."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f12e2d0b-f219-4e5b-aca0-010e4d8d87dc",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "station_coordinates = pd.read_csv('demo_datasets/AERONET_V2_SDA_od550gt1aer2010_EastAsia.csv',index_col=0, skiprows=4,nrows=23, names=['Station_name','Longitude','Latitude'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "91d0232e-4dc2-40dc-8ed5-da5391529fe0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      ",Baengnyeong,Beijing_RADI,Chen-Kung_Univ,Dalanzadgad,EPA-NCU,Gwangju_GIST,Hong_Kong_Hok_Tsui,Hong_Kong_PolyU,Lanzhou_City,Lulin,Minqin,NAM_CO,NCU_Taiwan,NUIST,Noto,Osaka,QOMS_CAS,SACOL,Taihu,Taipei_CWB,XiangHe,Xinglong,Yeomsan-Myeon\n",
      "2010-01-15,,0.061210696844005,0.045836159568432,0.045757302021331,0.023873646226537,0.059614895016837,,0.038909430419758,0.209155783725835,0.005336199163457,,0.011891085604758,,0.109947051306775,,0.035111985976525,0.023743365446947,,,,0.091098097768661,,\n",
      "2010-02-15,,0.126141178930487,0.08374315636903,0.088876039048444,0.027182844890892,0.061162641592402,,0.051849584461491,0.135079677542425,0.007924087419513,,,,0.11930723569294,,0.038839832314699,0.041427504517315,,0.087236461072295,0.088850093869133,0.115736350705925,,\n",
      "2010-03-15,,0.177427598495459,0.05029977237098,0.102484625507818,0.072157265144057,0.180934438925154,0.11675405712405,0.141424480296263,0.244738881541866,0.011545292375373,,0.047224512682959,,0.347139665662375,,0.127289851083945,0.018390744794171,,0.272141363345382,0.085634160408572,0.141574100021826,,\n",
      "2010-04-15,,0.194525682564903,0.065656992332231,0.043565613074893,0.122488312169253,0.090281537872786,0.072067197740185,0.115780439894352,,0.019156709486022,,0.050504380898425,0.34972372869025,0.282675282115031,,0.102373032693911,0.016003315147355,,0.261105059136771,0.122990142889762,0.16496181795613,,\n",
      "2010-05-15,,0.223336290071556,0.06572708620222,0.033985566319726,0.105976772337813,0.11758489327196,0.07796731348343,0.111837637961098,,0.024019365502083,0.14395657385845,0.04752640539522,0.069806901886103,,,0.098524833679674,0.005625840950489,,0.17658155235208,0.130809467978121,0.230745098083114,,\n",
      "2010-06-15,,0.077559973002486,0.038632035782638,,,0.029533860774756,0.050081748322712,0.046018441988182,,0.011716853100564,0.141560910502948,0.030745933006261,0.02844537133672,,,0.029584675961779,0.030788280519456,,0.069047625967903,0.06821335039204,0.084718133157658,,\n",
      "2010-07-15,0.032169328406771,,0.0572657145241,,,0.027522328753683,0.062664024691744,0.051178483611842,,0.026016694244979,,0.024992477687214,0.055582336007189,,,0.038358881424443,,,0.157978616375008,,0.062111498697202,,\n",
      "2010-08-15,0.040076994044655,,0.043330116391097,,,0.057713370288728,,0.072468735863873,,0.021172683412839,,0.034903089895501,0.031806535655258,,0.019109517116357,0.029481819926708,,0.085947212961709,0.084854631246942,,0.106540637615316,0.060286265839585,\n",
      "2010-09-15,0.029667510868075,,0.029094081403198,,0.029449915652986,0.090011102189911,,0.056671627182406,,0.020485199807977,,0.030610082292822,0.028663411641698,,0.032149711076231,0.039358100695261,,0.057263635947861,0.078617893317836,,0.066581347825952,0.032692439875353,0.108272882249004\n",
      "2010-10-15,0.045586298063705,,0.045253238327726,,0.028907474666606,0.045738364611231,,0.050383457626328,,0.009908622403853,,0.015082251858447,0.037492350682328,,0.027929645110297,0.024677307251591,0.012952369155955,0.058025871647289,,,0.0505897377068,0.027314815959056,0.017030146794558\n",
      "2010-11-15,0.058226210577707,0.092625459271382,0.042550622015177,,0.051396349008774,,,0.056202614138447,,0.020330279804527,,0.00831493776862,0.05248559476174,,0.035700489393062,0.034111151606454,0.016539853615423,0.106408931838028,,,0.107168738877413,0.055976390443592,\n",
      "2010-12-15,0.11003657360022,0.053874144333573,0.049187657168119,,0.073448474209141,,,0.07264574966747,,,,0.009039345226945,0.051612136276771,,0.054966902362633,0.036479393601337,,0.142332445217515,,,0.179982699359093,0.07974182657958,\n"
     ]
    }
   ],
   "source": [
    "! tail -n 14 demo_datasets/AERONET_V2_SDA_od550gt1aer2010_EastAsia.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "87349676-d4bf-4ae8-ab10-1368ccb0021a",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('demo_datasets/AERONET_V2_SDA_od550gt1aer2010_EastAsia.csv', skiprows=29,names=station_coordinates.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ea369cdb-11c1-4ab7-b6d6-6271dbe9da49",
   "metadata": {},
   "outputs": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Baengnyeong</th>\n",
       "      <th>Beijing_RADI</th>\n",
       "      <th>Chen-Kung_Univ</th>\n",
       "      <th>Dalanzadgad</th>\n",
       "      <th>EPA-NCU</th>\n",
       "      <th>Gwangju_GIST</th>\n",
       "      <th>Hong_Kong_Hok_Tsui</th>\n",
       "      <th>Hong_Kong_PolyU</th>\n",
       "      <th>Lanzhou_City</th>\n",
       "      <th>Lulin</th>\n",
       "      <th>...</th>\n",
       "      <th>NUIST</th>\n",
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       "      <th>SACOL</th>\n",
       "      <th>Taihu</th>\n",
       "      <th>Taipei_CWB</th>\n",
       "      <th>XiangHe</th>\n",
       "      <th>Xinglong</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2010-02-15</th>\n",
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       "      <td>0.088876</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>2010-03-15</th>\n",
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       "      <td>0.177428</td>\n",
       "      <td>0.050300</td>\n",
       "      <td>0.102485</td>\n",
       "      <td>0.072157</td>\n",
       "      <td>0.180934</td>\n",
       "      <td>0.116754</td>\n",
       "      <td>0.141424</td>\n",
       "      <td>0.244739</td>\n",
       "      <td>0.011545</td>\n",
       "      <td>...</td>\n",
       "      <td>0.347140</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.127290</td>\n",
       "      <td>0.018391</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.272141</td>\n",
       "      <td>0.085634</td>\n",
       "      <td>0.141574</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2010-04-15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.194526</td>\n",
       "      <td>0.065657</td>\n",
       "      <td>0.043566</td>\n",
       "      <td>0.122488</td>\n",
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       "      <td>0.016003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.261105</td>\n",
       "      <td>0.122990</td>\n",
       "      <td>0.164962</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2010-05-15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.223336</td>\n",
       "      <td>0.065727</td>\n",
       "      <td>0.033986</td>\n",
       "      <td>0.105977</td>\n",
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       "      <th>2010-06-15</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>0.026017</td>\n",
       "      <td>...</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.157979</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.062111</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2010-08-15</th>\n",
       "      <td>0.040077</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>0.021173</td>\n",
       "      <td>...</td>\n",
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       "      <th>2010-09-15</th>\n",
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       "      <td>0.020485</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.032150</td>\n",
       "      <td>0.039358</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.057264</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.066581</td>\n",
       "      <td>0.032692</td>\n",
       "      <td>0.108273</td>\n",
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       "      <th>2010-10-15</th>\n",
       "      <td>0.045586</td>\n",
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       "      <td>0.050383</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.009909</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.027930</td>\n",
       "      <td>0.024677</td>\n",
       "      <td>0.012952</td>\n",
       "      <td>0.058026</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.050590</td>\n",
       "      <td>0.027315</td>\n",
       "      <td>0.017030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-11-15</th>\n",
       "      <td>0.058226</td>\n",
       "      <td>0.092625</td>\n",
       "      <td>0.042551</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.051396</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.056203</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.020330</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.035700</td>\n",
       "      <td>0.034111</td>\n",
       "      <td>0.016540</td>\n",
       "      <td>0.106409</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.107169</td>\n",
       "      <td>0.055976</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-12-15</th>\n",
       "      <td>0.110037</td>\n",
       "      <td>0.053874</td>\n",
       "      <td>0.049188</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.073448</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.072646</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.054967</td>\n",
       "      <td>0.036479</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.142332</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.179983</td>\n",
       "      <td>0.079742</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Baengnyeong  Beijing_RADI  Chen-Kung_Univ  Dalanzadgad   EPA-NCU  \\\n",
       "2010-01-15          NaN      0.061211        0.045836     0.045757  0.023874   \n",
       "2010-02-15          NaN      0.126141        0.083743     0.088876  0.027183   \n",
       "2010-03-15          NaN      0.177428        0.050300     0.102485  0.072157   \n",
       "2010-04-15          NaN      0.194526        0.065657     0.043566  0.122488   \n",
       "2010-05-15          NaN      0.223336        0.065727     0.033986  0.105977   \n",
       "2010-06-15          NaN      0.077560        0.038632          NaN       NaN   \n",
       "2010-07-15     0.032169           NaN        0.057266          NaN       NaN   \n",
       "2010-08-15     0.040077           NaN        0.043330          NaN       NaN   \n",
       "2010-09-15     0.029668           NaN        0.029094          NaN  0.029450   \n",
       "2010-10-15     0.045586           NaN        0.045253          NaN  0.028907   \n",
       "2010-11-15     0.058226      0.092625        0.042551          NaN  0.051396   \n",
       "2010-12-15     0.110037      0.053874        0.049188          NaN  0.073448   \n",
       "\n",
       "            Gwangju_GIST  Hong_Kong_Hok_Tsui  Hong_Kong_PolyU  Lanzhou_City  \\\n",
       "2010-01-15      0.059615                 NaN         0.038909      0.209156   \n",
       "2010-02-15      0.061163                 NaN         0.051850      0.135080   \n",
       "2010-03-15      0.180934            0.116754         0.141424      0.244739   \n",
       "2010-04-15      0.090282            0.072067         0.115780           NaN   \n",
       "2010-05-15      0.117585            0.077967         0.111838           NaN   \n",
       "2010-06-15      0.029534            0.050082         0.046018           NaN   \n",
       "2010-07-15      0.027522            0.062664         0.051178           NaN   \n",
       "2010-08-15      0.057713                 NaN         0.072469           NaN   \n",
       "2010-09-15      0.090011                 NaN         0.056672           NaN   \n",
       "2010-10-15      0.045738                 NaN         0.050383           NaN   \n",
       "2010-11-15           NaN                 NaN         0.056203           NaN   \n",
       "2010-12-15           NaN                 NaN         0.072646           NaN   \n",
       "\n",
       "               Lulin  ...     NUIST      Noto     Osaka  QOMS_CAS     SACOL  \\\n",
       "2010-01-15  0.005336  ...  0.109947       NaN  0.035112  0.023743       NaN   \n",
       "2010-02-15  0.007924  ...  0.119307       NaN  0.038840  0.041428       NaN   \n",
       "2010-03-15  0.011545  ...  0.347140       NaN  0.127290  0.018391       NaN   \n",
       "2010-04-15  0.019157  ...  0.282675       NaN  0.102373  0.016003       NaN   \n",
       "2010-05-15  0.024019  ...       NaN       NaN  0.098525  0.005626       NaN   \n",
       "2010-06-15  0.011717  ...       NaN       NaN  0.029585  0.030788       NaN   \n",
       "2010-07-15  0.026017  ...       NaN       NaN  0.038359       NaN       NaN   \n",
       "2010-08-15  0.021173  ...       NaN  0.019110  0.029482       NaN  0.085947   \n",
       "2010-09-15  0.020485  ...       NaN  0.032150  0.039358       NaN  0.057264   \n",
       "2010-10-15  0.009909  ...       NaN  0.027930  0.024677  0.012952  0.058026   \n",
       "2010-11-15  0.020330  ...       NaN  0.035700  0.034111  0.016540  0.106409   \n",
       "2010-12-15       NaN  ...       NaN  0.054967  0.036479       NaN  0.142332   \n",
       "\n",
       "               Taihu  Taipei_CWB   XiangHe  Xinglong  Yeomsan-Myeon  \n",
       "2010-01-15       NaN         NaN  0.091098       NaN            NaN  \n",
       "2010-02-15  0.087236    0.088850  0.115736       NaN            NaN  \n",
       "2010-03-15  0.272141    0.085634  0.141574       NaN            NaN  \n",
       "2010-04-15  0.261105    0.122990  0.164962       NaN            NaN  \n",
       "2010-05-15  0.176582    0.130809  0.230745       NaN            NaN  \n",
       "2010-06-15  0.069048    0.068213  0.084718       NaN            NaN  \n",
       "2010-07-15  0.157979         NaN  0.062111       NaN            NaN  \n",
       "2010-08-15  0.084855         NaN  0.106541  0.060286            NaN  \n",
       "2010-09-15  0.078618         NaN  0.066581  0.032692       0.108273  \n",
       "2010-10-15       NaN         NaN  0.050590  0.027315       0.017030  \n",
       "2010-11-15       NaN         NaN  0.107169  0.055976            NaN  \n",
       "2010-12-15       NaN         NaN  0.179983  0.079742            NaN  \n",
       "\n",
       "[12 rows x 23 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c10067d-3ef9-42ad-83f1-8c0874c6ff46",
   "metadata": {},
   "source": [
    "`UngriddedData.from_station_data()` expects that the station data object has an `altitude` and that the `Longitude ` and `Latitude` is written in lower case letters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d78e5119-669b-4fcf-a60b-1de9082412da",
   "metadata": {},
   "outputs": [],
   "source": [
    "station_coordinates = station_coordinates.rename({'Longitude':'longitude', 'Latitude':'latitude'},axis=1)\n",
    "station_coordinates.loc[:,'altitude'] = np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f585d555-5de5-4a27-bc28-9cb5681a2252",
   "metadata": {},
   "source": [
    "Loading the AERONET station data into `StationData` objects. Specifying the units and frequency of the observational data. A very nice feature of `pyaerocom` is that it can colocate model and observation time series of different frequency by resampling to the longest time frequency.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "bbb794a5-4d0a-4e9f-a833-afdd90f62651",
   "metadata": {},
   "outputs": [],
   "source": [
    "station_list = []\n",
    " #\n",
    "for station_name, coord in station_coordinates.iterrows():\n",
    "    temp_station = StationData(data_id='od550gt1aer',\n",
    "        od550gt1aer=data.loc[:,station_name].values,station_coords=coord.to_dict(),\n",
    "                               dtime=data.index.values,\n",
    "        station_name = station_name, var_info={'od550gt1aer':{'units':1, 'ts_type':'monthly'}}\n",
    "        )\n",
    "    station_list.append(temp_station)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c940e6f3-1f73-4e54-b4e6-e8be8e46b645",
   "metadata": {},
   "source": [
    "After the AERONET data have been converted into `StationData` objects, we can create an `UngriddedData` object of the station data. The `UngriddedData` can then be colacted with the model data using `colocate_gridded_ungridded()` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "119ef007-f53c-4f1c-a900-86c6efd02f96",
   "metadata": {},
   "outputs": [],
   "source": [
    "ungridded = UngriddedData.from_station_data(station_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd82cf33-ee6e-407a-adae-f533068b0da5",
   "metadata": {},
   "source": [
    "## Colocate the AEROCOM median to station data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "79a47010-d6f3-4d56-9aea-321e66e11fa3",
   "metadata": {},
   "outputs": [],
   "source": [
    "aerocom_m =  ReadGridded(data_id='AEROCOM-MEDIAN-2x3_AP3-CTRL').read_var('od550gt1aer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e607d294-f059-4de0-836e-a20489cf940f",
   "metadata": {},
   "outputs": [],
   "source": [
    "colocated_data = colocate_gridded_ungridded(aerocom_m, ungridded, start=2010, ts_type='monthly')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea3cf216-9b35-4afd-b468-2acb91daf548",
   "metadata": {},
   "source": [
    "## Evaluate the AeroCom median to the AERONET station"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dcab699-cf86-47ab-974f-21b45d0fd88a",
   "metadata": {},
   "source": [
    "The AeroCom median and quickly be evaluated using built in `plot_scatter()`  function. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8ae827b0-305c-4ce7-aa7a-78b382a5c72f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Jan 2010-Dec 2010 (monthly)'}, xlabel='od550gt1aer', ylabel='AEROCOM-MEDIAN-2x3_AP3-CTRL'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colocated_data.plot_scatter()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "2dd7c680-48c7-4dc7-ae24-b40628086b3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<GeoAxes: >"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(subplot_kw={'projection':ccrs.PlateCarree()})\n",
    "ax.set_extent([60,150,15,60])\n",
    "ax.coastlines()\n",
    "pya.plot.mapping.plot_nmb_map_colocateddata(colocated_data, ax=ax)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}