deploy_trained_model.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "56e480c9",
   "metadata": {},
   "source": [
    "### Notebook to deploy trained random forest regression model to predict diatom carbon biomass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "adbf4fce",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import LogNorm\n",
    "import xarray as xr\n",
    "\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "# library for save and load scikit-learn models\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "546d2871",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[31mrandom_forest.pickle\u001b[m\u001b[m*         \u001b[31mrandom_forest.pickle_histGB\u001b[m\u001b[m*\n",
      "random_forest.pickle_chl_sst  \u001b[31mrandom_forest.pickle_noLat\u001b[m\u001b[m*\n"
     ]
    }
   ],
   "source": [
    "ls trained_models/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1daafe5a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load pre-trained model - Chla and SST are model inputs; Diatom Carbon is model output (target)\n",
    "filename = \"trained_models/random_forest.pickle_chl_sst\"\n",
    "\n",
    "loaded_model = pickle.load(open(filename, \"rb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "65d2e611",
   "metadata": {},
   "outputs": [],
   "source": [
    "#ds = xr.open_dataset('A20161372016144.L3m_8D_CHL_chlor_a_4km.nc') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "94fe41cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# satellite chl informtation\n",
    "chl_ds = xr.open_dataset('sat_data/AQUA_MODIS.20160516_20160523.L3m.8D.CHL.chlor_a.4km.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "60a0e5f0",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 4320, lon: 8640, rgb: 3, eightbitcolor: 256)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 89.98 89.94 89.9 89.85 ... -89.85 -89.9 -89.94 -89.98\n",
       "  * lon      (lon) float32 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Dimensions without coordinates: rgb, eightbitcolor\n",
       "Data variables:\n",
       "    chlor_a  (lat, lon) float32 ...\n",
       "    palette  (rgb, eightbitcolor) uint8 ...\n",
       "Attributes: (12/62)\n",
       "    product_name:                     AQUA_MODIS.20160516_20160523.L3m.8D.CHL...\n",
       "    instrument:                       MODIS\n",
       "    title:                            MODISA Level-3 Standard Mapped Image\n",
       "    project:                          Ocean Biology Processing Group (NASA/GS...\n",
       "    platform:                         Aqua\n",
       "    source:                           satellite observations from MODIS-Aqua\n",
       "    ...                               ...\n",
       "    cdm_data_type:                    grid\n",
       "    keywords:                         Earth Science &gt; Oceans &gt; Ocean Chemistr...\n",
       "    keywords_vocabulary:              NASA Global Change Master Directory (GC...\n",
       "    data_bins:                        12142689\n",
       "    data_minimum:                     0.0024211504\n",
       "    data_maximum:                     86.086975</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d914c73a-309c-4908-92df-2340941aef76' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d914c73a-309c-4908-92df-2340941aef76' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 4320</li><li><span class='xr-has-index'>lon</span>: 8640</li><li><span>rgb</span>: 3</li><li><span>eightbitcolor</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-eabd5d76-4336-406c-b447-e1eb418b44e8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eabd5d76-4336-406c-b447-e1eb418b44e8' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>89.98 89.94 89.9 ... -89.94 -89.98</div><input id='attrs-a6047fdb-1d07-4b7f-b361-15a99b2fdced' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6047fdb-1d07-4b7f-b361-15a99b2fdced' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30fc8089-ac84-416f-a11f-a72327575772' class='xr-var-data-in' type='checkbox'><label for='data-30fc8089-ac84-416f-a11f-a72327575772' 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>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd></dl></div><div class='xr-var-data'><pre>array([ 89.979164,  89.9375  ,  89.895836, ..., -89.895836, -89.93751 ,\n",
       "       -89.97917 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-72c63eb3-d184-40d0-9f3f-4c07a0310d56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72c63eb3-d184-40d0-9f3f-4c07a0310d56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15fd1fa1-7b2d-41b6-bdb5-6a104d8bd530' class='xr-var-data-in' type='checkbox'><label for='data-15fd1fa1-7b2d-41b6-bdb5-6a104d8bd530' 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>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>array([-179.97917, -179.9375 , -179.89583, ...,  179.89584,  179.93752,\n",
       "        179.97917], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-368f61e6-e836-4bc4-a219-6e65d0a61445' class='xr-section-summary-in' type='checkbox'  checked><label for='section-368f61e6-e836-4bc4-a219-6e65d0a61445' class='xr-section-summary' >Data variables: <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>chlor_a</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a586e43-4d23-4702-b9c1-43bd452a1961' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a586e43-4d23-4702-b9c1-43bd452a1961' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b022f789-7b5b-4d05-b5fc-80d0f2fc9717' class='xr-var-data-in' type='checkbox'><label for='data-b022f789-7b5b-4d05-b5fc-80d0f2fc9717' 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>Chlorophyll Concentration, OCI Algorithm</dd><dt><span>units :</span></dt><dd>mg m^-3</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_in_sea_water</dd><dt><span>valid_min :</span></dt><dd>0.001</dd><dt><span>valid_max :</span></dt><dd>100.0</dd><dt><span>reference :</span></dt><dd>Hu, C., Lee Z., and Franz, B.A. (2012). Chlorophyll-a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference, J. Geophys. Res., 117, C01011, doi:10.1029/2011JC007395.</dd><dt><span>display_scale :</span></dt><dd>log</dd><dt><span>display_min :</span></dt><dd>0.01</dd><dt><span>display_max :</span></dt><dd>20.0</dd></dl></div><div class='xr-var-data'><pre>[37324800 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>palette</span></div><div class='xr-var-dims'>(rgb, eightbitcolor)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-073f8988-468c-4b94-a4d7-14559c13525c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-073f8988-468c-4b94-a4d7-14559c13525c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7b84209-2f96-4917-8c2c-baf5cc09a4fa' class='xr-var-data-in' type='checkbox'><label for='data-b7b84209-2f96-4917-8c2c-baf5cc09a4fa' 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'></dl></div><div class='xr-var-data'><pre>[768 values with dtype=uint8]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dc4b2463-1a31-4412-951b-41b69431e7c5' class='xr-section-summary-in' type='checkbox'  ><label for='section-dc4b2463-1a31-4412-951b-41b69431e7c5' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-55984f5f-e165-4e8e-bd4c-9bcaca28ba23' class='xr-index-data-in' type='checkbox'/><label for='index-55984f5f-e165-4e8e-bd4c-9bcaca28ba23' 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([ 89.97916412353516,            89.9375,  89.89583587646484,\n",
       "        89.85416412353516,            89.8125,  89.77083587646484,\n",
       "        89.72916412353516,            89.6875,  89.64583587646484,\n",
       "        89.60416412353516,\n",
       "       ...\n",
       "       -89.60417175292969, -89.64583587646484, -89.68750762939453,\n",
       "       -89.72917175292969, -89.77083587646484, -89.81250762939453,\n",
       "       -89.85417175292969, -89.89583587646484, -89.93750762939453,\n",
       "       -89.97917175292969],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=4320))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0c8ec17a-f71b-4980-ae52-2614ec6ac2b8' class='xr-index-data-in' type='checkbox'/><label for='index-0c8ec17a-f71b-4980-ae52-2614ec6ac2b8' 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([-179.9791717529297,          -179.9375, -179.8958282470703,\n",
       "       -179.8541717529297,          -179.8125, -179.7708282470703,\n",
       "       -179.7291717529297,          -179.6875, -179.6458282470703,\n",
       "       -179.6041717529297,\n",
       "       ...\n",
       "        179.6041717529297, 179.64584350585938, 179.68751525878906,\n",
       "        179.7291717529297, 179.77084350585938, 179.81251525878906,\n",
       "        179.8541717529297, 179.89584350585938, 179.93751525878906,\n",
       "        179.9791717529297],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=8640))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8fa563a5-a84b-45ce-bd02-d4c434ec15de' class='xr-section-summary-in' type='checkbox'  ><label for='section-8fa563a5-a84b-45ce-bd02-d4c434ec15de' class='xr-section-summary' >Attributes: <span>(62)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>product_name :</span></dt><dd>AQUA_MODIS.20160516_20160523.L3m.8D.CHL.chlor_a.4km.nc</dd><dt><span>instrument :</span></dt><dd>MODIS</dd><dt><span>title :</span></dt><dd>MODISA Level-3 Standard Mapped Image</dd><dt><span>project :</span></dt><dd>Ocean Biology Processing Group (NASA/GSFC/OBPG)</dd><dt><span>platform :</span></dt><dd>Aqua</dd><dt><span>source :</span></dt><dd>satellite observations from MODIS-Aqua</dd><dt><span>temporal_range :</span></dt><dd>8-day</dd><dt><span>processing_version :</span></dt><dd>R2022.0</dd><dt><span>date_created :</span></dt><dd>2022-07-25T19:12:15.000Z</dd><dt><span>history :</span></dt><dd>l3mapgen par=AQUA_MODIS.20160516_20160523.L3m.8D.CHL.chlor_a.4km.nc.param </dd><dt><span>l2_flag_names :</span></dt><dd>ATMFAIL,LAND,HILT,HISATZEN,STRAYLIGHT,CLDICE,COCCOLITH,LOWLW,CHLWARN,CHLFAIL,NAVWARN,MAXAERITER,ATMWARN,HISOLZEN,NAVFAIL,FILTER,HIGLINT</dd><dt><span>time_coverage_start :</span></dt><dd>2016-05-16T00:55:01.000Z</dd><dt><span>time_coverage_end :</span></dt><dd>2016-05-24T02:15:00.000Z</dd><dt><span>start_orbit_number :</span></dt><dd>74644</dd><dt><span>end_orbit_number :</span></dt><dd>74762</dd><dt><span>map_projection :</span></dt><dd>Equidistant Cylindrical</dd><dt><span>latitude_units :</span></dt><dd>degrees_north</dd><dt><span>longitude_units :</span></dt><dd>degrees_east</dd><dt><span>northernmost_latitude :</span></dt><dd>90.0</dd><dt><span>southernmost_latitude :</span></dt><dd>-90.0</dd><dt><span>westernmost_longitude :</span></dt><dd>-180.0</dd><dt><span>easternmost_longitude :</span></dt><dd>180.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-90.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>latitude_step :</span></dt><dd>0.041666668</dd><dt><span>longitude_step :</span></dt><dd>0.041666668</dd><dt><span>sw_point_latitude :</span></dt><dd>-89.979164</dd><dt><span>sw_point_longitude :</span></dt><dd>-179.97917</dd><dt><span>spatialResolution :</span></dt><dd>4.638312 km</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>4.638312 km</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>4.638312 km</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>number_of_lines :</span></dt><dd>4320</dd><dt><span>number_of_columns :</span></dt><dd>8640</dd><dt><span>measure :</span></dt><dd>Mean</dd><dt><span>suggested_image_scaling_minimum :</span></dt><dd>0.01</dd><dt><span>suggested_image_scaling_maximum :</span></dt><dd>20.0</dd><dt><span>suggested_image_scaling_type :</span></dt><dd>LOG</dd><dt><span>suggested_image_scaling_applied :</span></dt><dd>No</dd><dt><span>_lastModified :</span></dt><dd>2022-07-25T19:12:15.000Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.6 ACDD-1.3</dd><dt><span>institution :</span></dt><dd>NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v36</dd><dt><span>naming_authority :</span></dt><dd>gov.nasa.gsfc.sci.oceandata</dd><dt><span>id :</span></dt><dd>R2022.0/L3/AQUA_MODIS.20160516_20160523.L3b.8D.CHL.nc</dd><dt><span>license :</span></dt><dd>https://science.nasa.gov/earth-science/earth-science-data/data-information-policy/</dd><dt><span>creator_name :</span></dt><dd>NASA/GSFC/OBPG</dd><dt><span>publisher_name :</span></dt><dd>NASA/GSFC/OBPG</dd><dt><span>creator_email :</span></dt><dd>data@oceancolor.gsfc.nasa.gov</dd><dt><span>publisher_email :</span></dt><dd>data@oceancolor.gsfc.nasa.gov</dd><dt><span>creator_url :</span></dt><dd>https://oceandata.sci.gsfc.nasa.gov</dd><dt><span>publisher_url :</span></dt><dd>https://oceandata.sci.gsfc.nasa.gov</dd><dt><span>processing_level :</span></dt><dd>L3 Mapped</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Chemistry &gt; Pigments &gt; Chlorophyll; Earth Science &gt; Oceans &gt; Ocean Chemistry &gt; Chlorophyllr</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>data_bins :</span></dt><dd>12142689</dd><dt><span>data_minimum :</span></dt><dd>0.0024211504</dd><dt><span>data_maximum :</span></dt><dd>86.086975</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 4320, lon: 8640, rgb: 3, eightbitcolor: 256)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 89.98 89.94 89.9 89.85 ... -89.85 -89.9 -89.94 -89.98\n",
       "  * lon      (lon) float32 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Dimensions without coordinates: rgb, eightbitcolor\n",
       "Data variables:\n",
       "    chlor_a  (lat, lon) float32 ...\n",
       "    palette  (rgb, eightbitcolor) uint8 ...\n",
       "Attributes: (12/62)\n",
       "    product_name:                     AQUA_MODIS.20160516_20160523.L3m.8D.CHL...\n",
       "    instrument:                       MODIS\n",
       "    title:                            MODISA Level-3 Standard Mapped Image\n",
       "    project:                          Ocean Biology Processing Group (NASA/GS...\n",
       "    platform:                         Aqua\n",
       "    source:                           satellite observations from MODIS-Aqua\n",
       "    ...                               ...\n",
       "    cdm_data_type:                    grid\n",
       "    keywords:                         Earth Science > Oceans > Ocean Chemistr...\n",
       "    keywords_vocabulary:              NASA Global Change Master Directory (GC...\n",
       "    data_bins:                        12142689\n",
       "    data_minimum:                     0.0024211504\n",
       "    data_maximum:                     86.086975"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chl_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "50e7bf67-6b64-4104-8f53-118204640413",
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\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",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\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.Dataset&gt;\n",
       "Dimensions:  (lat: 4320, lon: 8640)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 89.98 89.94 89.9 89.85 ... -89.85 -89.9 -89.94 -89.98\n",
       "  * lon      (lon) float32 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Data variables:\n",
       "    chlor_a  (lat, lon) float32 ...\n",
       "Attributes: (12/62)\n",
       "    product_name:                     AQUA_MODIS.20160516_20160523.L3m.8D.CHL...\n",
       "    instrument:                       MODIS\n",
       "    title:                            MODISA Level-3 Standard Mapped Image\n",
       "    project:                          Ocean Biology Processing Group (NASA/GS...\n",
       "    platform:                         Aqua\n",
       "    source:                           satellite observations from MODIS-Aqua\n",
       "    ...                               ...\n",
       "    cdm_data_type:                    grid\n",
       "    keywords:                         Earth Science &gt; Oceans &gt; Ocean Chemistr...\n",
       "    keywords_vocabulary:              NASA Global Change Master Directory (GC...\n",
       "    data_bins:                        12142689\n",
       "    data_minimum:                     0.0024211504\n",
       "    data_maximum:                     86.086975</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dad82ade-4275-421f-be49-4513474a0fdc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dad82ade-4275-421f-be49-4513474a0fdc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 4320</li><li><span class='xr-has-index'>lon</span>: 8640</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-923c9e21-087f-49d8-ac18-c968b3f66670' class='xr-section-summary-in' type='checkbox'  checked><label for='section-923c9e21-087f-49d8-ac18-c968b3f66670' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>89.98 89.94 89.9 ... -89.94 -89.98</div><input id='attrs-8c6575e6-f8c0-473a-892d-3a8d98f66b10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c6575e6-f8c0-473a-892d-3a8d98f66b10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d8bb377-852e-4326-b2ea-b2607e71311b' class='xr-var-data-in' type='checkbox'><label for='data-5d8bb377-852e-4326-b2ea-b2607e71311b' 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>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd></dl></div><div class='xr-var-data'><pre>array([ 89.979164,  89.9375  ,  89.895836, ..., -89.895836, -89.93751 ,\n",
       "       -89.97917 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-4b4839ed-dba7-42fe-956d-b8d16a1178df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b4839ed-dba7-42fe-956d-b8d16a1178df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72eabcfd-596f-475d-bcbf-c9c2674414f6' class='xr-var-data-in' type='checkbox'><label for='data-72eabcfd-596f-475d-bcbf-c9c2674414f6' 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>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>array([-179.97917, -179.9375 , -179.89583, ...,  179.89584,  179.93752,\n",
       "        179.97917], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b3ebd3d2-5476-457f-a468-94a0109d7b72' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b3ebd3d2-5476-457f-a468-94a0109d7b72' class='xr-section-summary' >Data variables: <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-var-name'><span>chlor_a</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd63d70b-1762-45f1-ba2e-5c9d5511fcb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd63d70b-1762-45f1-ba2e-5c9d5511fcb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4834a16-8f0b-4a94-bc64-69f09f917d12' class='xr-var-data-in' type='checkbox'><label for='data-d4834a16-8f0b-4a94-bc64-69f09f917d12' 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>Chlorophyll Concentration, OCI Algorithm</dd><dt><span>units :</span></dt><dd>mg m^-3</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_in_sea_water</dd><dt><span>valid_min :</span></dt><dd>0.001</dd><dt><span>valid_max :</span></dt><dd>100.0</dd><dt><span>reference :</span></dt><dd>Hu, C., Lee Z., and Franz, B.A. (2012). Chlorophyll-a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference, J. Geophys. Res., 117, C01011, doi:10.1029/2011JC007395.</dd><dt><span>display_scale :</span></dt><dd>log</dd><dt><span>display_min :</span></dt><dd>0.01</dd><dt><span>display_max :</span></dt><dd>20.0</dd></dl></div><div class='xr-var-data'><pre>[37324800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce00f238-52f8-43b8-aa6c-525ea4d62713' class='xr-section-summary-in' type='checkbox'  ><label for='section-ce00f238-52f8-43b8-aa6c-525ea4d62713' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1ef5123a-cbfd-4939-8409-8fa196fbe200' class='xr-index-data-in' type='checkbox'/><label for='index-1ef5123a-cbfd-4939-8409-8fa196fbe200' 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([ 89.97916412353516,            89.9375,  89.89583587646484,\n",
       "        89.85416412353516,            89.8125,  89.77083587646484,\n",
       "        89.72916412353516,            89.6875,  89.64583587646484,\n",
       "        89.60416412353516,\n",
       "       ...\n",
       "       -89.60417175292969, -89.64583587646484, -89.68750762939453,\n",
       "       -89.72917175292969, -89.77083587646484, -89.81250762939453,\n",
       "       -89.85417175292969, -89.89583587646484, -89.93750762939453,\n",
       "       -89.97917175292969],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=4320))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5862eb81-d9db-4f3f-b2f6-5139c84229a0' class='xr-index-data-in' type='checkbox'/><label for='index-5862eb81-d9db-4f3f-b2f6-5139c84229a0' 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([-179.9791717529297,          -179.9375, -179.8958282470703,\n",
       "       -179.8541717529297,          -179.8125, -179.7708282470703,\n",
       "       -179.7291717529297,          -179.6875, -179.6458282470703,\n",
       "       -179.6041717529297,\n",
       "       ...\n",
       "        179.6041717529297, 179.64584350585938, 179.68751525878906,\n",
       "        179.7291717529297, 179.77084350585938, 179.81251525878906,\n",
       "        179.8541717529297, 179.89584350585938, 179.93751525878906,\n",
       "        179.9791717529297],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=8640))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3131b598-9df7-4e5c-b169-cc00de496458' class='xr-section-summary-in' type='checkbox'  ><label for='section-3131b598-9df7-4e5c-b169-cc00de496458' class='xr-section-summary' >Attributes: <span>(62)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>product_name :</span></dt><dd>AQUA_MODIS.20160516_20160523.L3m.8D.CHL.chlor_a.4km.nc</dd><dt><span>instrument :</span></dt><dd>MODIS</dd><dt><span>title :</span></dt><dd>MODISA Level-3 Standard Mapped Image</dd><dt><span>project :</span></dt><dd>Ocean Biology Processing Group (NASA/GSFC/OBPG)</dd><dt><span>platform :</span></dt><dd>Aqua</dd><dt><span>source :</span></dt><dd>satellite observations from MODIS-Aqua</dd><dt><span>temporal_range :</span></dt><dd>8-day</dd><dt><span>processing_version :</span></dt><dd>R2022.0</dd><dt><span>date_created :</span></dt><dd>2022-07-25T19:12:15.000Z</dd><dt><span>history :</span></dt><dd>l3mapgen par=AQUA_MODIS.20160516_20160523.L3m.8D.CHL.chlor_a.4km.nc.param </dd><dt><span>l2_flag_names :</span></dt><dd>ATMFAIL,LAND,HILT,HISATZEN,STRAYLIGHT,CLDICE,COCCOLITH,LOWLW,CHLWARN,CHLFAIL,NAVWARN,MAXAERITER,ATMWARN,HISOLZEN,NAVFAIL,FILTER,HIGLINT</dd><dt><span>time_coverage_start :</span></dt><dd>2016-05-16T00:55:01.000Z</dd><dt><span>time_coverage_end :</span></dt><dd>2016-05-24T02:15:00.000Z</dd><dt><span>start_orbit_number :</span></dt><dd>74644</dd><dt><span>end_orbit_number :</span></dt><dd>74762</dd><dt><span>map_projection :</span></dt><dd>Equidistant Cylindrical</dd><dt><span>latitude_units :</span></dt><dd>degrees_north</dd><dt><span>longitude_units :</span></dt><dd>degrees_east</dd><dt><span>northernmost_latitude :</span></dt><dd>90.0</dd><dt><span>southernmost_latitude :</span></dt><dd>-90.0</dd><dt><span>westernmost_longitude :</span></dt><dd>-180.0</dd><dt><span>easternmost_longitude :</span></dt><dd>180.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-90.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>latitude_step :</span></dt><dd>0.041666668</dd><dt><span>longitude_step :</span></dt><dd>0.041666668</dd><dt><span>sw_point_latitude :</span></dt><dd>-89.979164</dd><dt><span>sw_point_longitude :</span></dt><dd>-179.97917</dd><dt><span>spatialResolution :</span></dt><dd>4.638312 km</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>4.638312 km</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>4.638312 km</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>number_of_lines :</span></dt><dd>4320</dd><dt><span>number_of_columns :</span></dt><dd>8640</dd><dt><span>measure :</span></dt><dd>Mean</dd><dt><span>suggested_image_scaling_minimum :</span></dt><dd>0.01</dd><dt><span>suggested_image_scaling_maximum :</span></dt><dd>20.0</dd><dt><span>suggested_image_scaling_type :</span></dt><dd>LOG</dd><dt><span>suggested_image_scaling_applied :</span></dt><dd>No</dd><dt><span>_lastModified :</span></dt><dd>2022-07-25T19:12:15.000Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.6 ACDD-1.3</dd><dt><span>institution :</span></dt><dd>NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v36</dd><dt><span>naming_authority :</span></dt><dd>gov.nasa.gsfc.sci.oceandata</dd><dt><span>id :</span></dt><dd>R2022.0/L3/AQUA_MODIS.20160516_20160523.L3b.8D.CHL.nc</dd><dt><span>license :</span></dt><dd>https://science.nasa.gov/earth-science/earth-science-data/data-information-policy/</dd><dt><span>creator_name :</span></dt><dd>NASA/GSFC/OBPG</dd><dt><span>publisher_name :</span></dt><dd>NASA/GSFC/OBPG</dd><dt><span>creator_email :</span></dt><dd>data@oceancolor.gsfc.nasa.gov</dd><dt><span>publisher_email :</span></dt><dd>data@oceancolor.gsfc.nasa.gov</dd><dt><span>creator_url :</span></dt><dd>https://oceandata.sci.gsfc.nasa.gov</dd><dt><span>publisher_url :</span></dt><dd>https://oceandata.sci.gsfc.nasa.gov</dd><dt><span>processing_level :</span></dt><dd>L3 Mapped</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Chemistry &gt; Pigments &gt; Chlorophyll; Earth Science &gt; Oceans &gt; Ocean Chemistry &gt; Chlorophyllr</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>data_bins :</span></dt><dd>12142689</dd><dt><span>data_minimum :</span></dt><dd>0.0024211504</dd><dt><span>data_maximum :</span></dt><dd>86.086975</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 4320, lon: 8640)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 89.98 89.94 89.9 89.85 ... -89.85 -89.9 -89.94 -89.98\n",
       "  * lon      (lon) float32 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Data variables:\n",
       "    chlor_a  (lat, lon) float32 ...\n",
       "Attributes: (12/62)\n",
       "    product_name:                     AQUA_MODIS.20160516_20160523.L3m.8D.CHL...\n",
       "    instrument:                       MODIS\n",
       "    title:                            MODISA Level-3 Standard Mapped Image\n",
       "    project:                          Ocean Biology Processing Group (NASA/GS...\n",
       "    platform:                         Aqua\n",
       "    source:                           satellite observations from MODIS-Aqua\n",
       "    ...                               ...\n",
       "    cdm_data_type:                    grid\n",
       "    keywords:                         Earth Science > Oceans > Ocean Chemistr...\n",
       "    keywords_vocabulary:              NASA Global Change Master Directory (GC...\n",
       "    data_bins:                        12142689\n",
       "    data_minimum:                     0.0024211504\n",
       "    data_maximum:                     86.086975"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chl_ds = chl_ds.drop('palette')\n",
    "chl_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4f5ef594",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chl_ds.chlor_a.plot(x=\"lon\",  norm=LogNorm(vmin=0.01, vmax=10));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "78923893",
   "metadata": {},
   "outputs": [],
   "source": [
    "# estimate diatom carbon biomass using a previous method\n",
    "baseline_diats = 1.5*chl_ds.chlor_a**1.9  # Eq. from Chase et al. 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c209e2be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "baseline_diats.plot(x=\"lon\",  norm=LogNorm(vmin=0.01, vmax=10));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "30972cd8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load satellite SST data (do not use bbp for now)\n",
    "sst_ds = xr.open_dataset('sat_data/AQUA_MODIS.20160516_20160523.L3m.8D.SST.sst.4km.nc')\n",
    "#bbp_ds = xr.open_dataset('sat_data/AQUA_MODIS.20160516_20160523.L3m.8D.IOP.bbp_443.4km.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "aa2c6d65",
   "metadata": {},
   "outputs": [
    {
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       "}\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.Dataset&gt;\n",
       "Dimensions:   (lat: 4320, lon: 8640, rgb: 3, eightbitcolor: 256)\n",
       "Coordinates:\n",
       "  * lat       (lat) float32 89.98 89.94 89.9 89.85 ... -89.9 -89.94 -89.98\n",
       "  * lon       (lon) float32 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Dimensions without coordinates: rgb, eightbitcolor\n",
       "Data variables:\n",
       "    sst       (lat, lon) float32 ...\n",
       "    qual_sst  (lat, lon) float32 ...\n",
       "    palette   (rgb, eightbitcolor) uint8 ...\n",
       "Attributes: (12/61)\n",
       "    product_name:                     AQUA_MODIS.20160516_20160523.L3m.8D.SST...\n",
       "    instrument:                       MODIS\n",
       "    title:                            MODISA Level-3 Standard Mapped Image\n",
       "    project:                          Ocean Biology Processing Group (NASA/GS...\n",
       "    platform:                         Aqua\n",
       "    temporal_range:                   8-day\n",
       "    ...                               ...\n",
       "    cdm_data_type:                    grid\n",
       "    keywords:                         Earth Science &gt; Oceans &gt; Ocean Optics &gt;...\n",
       "    keywords_vocabulary:              NASA Global Change Master Directory (GC...\n",
       "    data_bins:                        16908859\n",
       "    data_minimum:                     -1.8\n",
       "    data_maximum:                     39.985</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4650a04f-7a62-462c-a2c8-45679ac62bbf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4650a04f-7a62-462c-a2c8-45679ac62bbf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 4320</li><li><span class='xr-has-index'>lon</span>: 8640</li><li><span>rgb</span>: 3</li><li><span>eightbitcolor</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-65a37a54-60b5-47be-aa82-07e581a88d64' class='xr-section-summary-in' type='checkbox'  checked><label for='section-65a37a54-60b5-47be-aa82-07e581a88d64' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>89.98 89.94 89.9 ... -89.94 -89.98</div><input id='attrs-dfd2b7cd-33d3-410e-a8d6-2c22a4cc1ddc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfd2b7cd-33d3-410e-a8d6-2c22a4cc1ddc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61311b79-ab1d-4398-b21c-8dc7fe7e2364' class='xr-var-data-in' type='checkbox'><label for='data-61311b79-ab1d-4398-b21c-8dc7fe7e2364' 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>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd></dl></div><div class='xr-var-data'><pre>array([ 89.979164,  89.9375  ,  89.89583 , ..., -89.895836, -89.93751 ,\n",
       "       -89.97918 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-6ac76dc6-2e40-4a4d-b542-b2d0a6b236eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ac76dc6-2e40-4a4d-b542-b2d0a6b236eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0457ec94-82e4-4261-ac21-bba183797e72' class='xr-var-data-in' type='checkbox'><label for='data-0457ec94-82e4-4261-ac21-bba183797e72' 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>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>array([-179.97917, -179.9375 , -179.89584, ...,  179.89583,  179.93752,\n",
       "        179.97917], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70a4bd2f-1393-4e5f-ac7f-25d865d01217' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70a4bd2f-1393-4e5f-ac7f-25d865d01217' class='xr-section-summary' >Data variables: <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>sst</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-73b4487f-2b68-4b2e-b2e9-d542f206f6de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73b4487f-2b68-4b2e-b2e9-d542f206f6de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e580fe6-5c9c-4b1c-8e22-0c3d1c96e321' class='xr-var-data-in' type='checkbox'><label for='data-1e580fe6-5c9c-4b1c-8e22-0c3d1c96e321' 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>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>valid_min :</span></dt><dd>-1000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>display_scale :</span></dt><dd>linear</dd><dt><span>display_min :</span></dt><dd>-2.0</dd><dt><span>display_max :</span></dt><dd>45.0</dd></dl></div><div class='xr-var-data'><pre>[37324800 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qual_sst</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d66c12f4-3f17-4b22-8b8e-68437342dd8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d66c12f4-3f17-4b22-8b8e-68437342dd8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58ce0887-b793-4cc8-88dd-be6e16e3e4b7' class='xr-var-data-in' type='checkbox'><label for='data-58ce0887-b793-4cc8-88dd-be6e16e3e4b7' 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>Quality Levels, Sea Surface Temperature</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>5</dd></dl></div><div class='xr-var-data'><pre>[37324800 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>palette</span></div><div class='xr-var-dims'>(rgb, eightbitcolor)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e4e48c8d-fe09-4e2d-b567-fe9d7eb88fb0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4e48c8d-fe09-4e2d-b567-fe9d7eb88fb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ace0098-4b1f-4315-9fbf-77c9c477ea22' class='xr-var-data-in' type='checkbox'><label for='data-3ace0098-4b1f-4315-9fbf-77c9c477ea22' 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'></dl></div><div class='xr-var-data'><pre>[768 values with dtype=uint8]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-38134854-9e08-4a0b-b643-4737213dd45a' class='xr-section-summary-in' type='checkbox'  ><label for='section-38134854-9e08-4a0b-b643-4737213dd45a' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4772daec-0d7b-46dd-bdce-b6dc5e3da38e' class='xr-index-data-in' type='checkbox'/><label for='index-4772daec-0d7b-46dd-bdce-b6dc5e3da38e' 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([ 89.97916412353516,            89.9375,  89.89582824707031,\n",
       "        89.85416412353516,            89.8125,  89.77082824707031,\n",
       "        89.72916412353516,            89.6875,  89.64582824707031,\n",
       "        89.60416412353516,\n",
       "       ...\n",
       "       -89.60417938232422, -89.64583587646484, -89.68750762939453,\n",
       "       -89.72917938232422, -89.77083587646484, -89.81250762939453,\n",
       "       -89.85417938232422, -89.89583587646484, -89.93750762939453,\n",
       "       -89.97917938232422],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=4320))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4d7a8456-36a8-4e60-8782-f9e0c692a035' class='xr-index-data-in' type='checkbox'/><label for='index-4d7a8456-36a8-4e60-8782-f9e0c692a035' 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([ -179.9791717529297,           -179.9375, -179.89584350585938,\n",
       "        -179.8541717529297,           -179.8125, -179.77084350585938,\n",
       "        -179.7291717529297,           -179.6875, -179.64584350585938,\n",
       "        -179.6041717529297,\n",
       "       ...\n",
       "         179.6041717529297,   179.6458282470703,  179.68751525878906,\n",
       "         179.7291717529297,   179.7708282470703,  179.81251525878906,\n",
       "         179.8541717529297,   179.8958282470703,  179.93751525878906,\n",
       "         179.9791717529297],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=8640))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a19764a7-a072-4b2c-824c-6f194f95dc34' class='xr-section-summary-in' type='checkbox'  ><label for='section-a19764a7-a072-4b2c-824c-6f194f95dc34' class='xr-section-summary' >Attributes: <span>(61)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>product_name :</span></dt><dd>AQUA_MODIS.20160516_20160523.L3m.8D.SST.sst.4km.nc</dd><dt><span>instrument :</span></dt><dd>MODIS</dd><dt><span>title :</span></dt><dd>MODISA Level-3 Standard Mapped Image</dd><dt><span>project :</span></dt><dd>Ocean Biology Processing Group (NASA/GSFC/OBPG)</dd><dt><span>platform :</span></dt><dd>Aqua</dd><dt><span>temporal_range :</span></dt><dd>8-day</dd><dt><span>processing_version :</span></dt><dd>R2019.0</dd><dt><span>date_created :</span></dt><dd>2019-12-17T13:37:04.000Z</dd><dt><span>history :</span></dt><dd>l3mapgen par=AQUA_MODIS.20160516_20160523.L3m.8D.SST.sst.4km.nc.param </dd><dt><span>l2_flag_names :</span></dt><dd>LAND,HISOLZEN</dd><dt><span>time_coverage_start :</span></dt><dd>2016-05-16T00:55:01.000Z</dd><dt><span>time_coverage_end :</span></dt><dd>2016-05-24T02:15:00.000Z</dd><dt><span>start_orbit_number :</span></dt><dd>74644</dd><dt><span>end_orbit_number :</span></dt><dd>74762</dd><dt><span>map_projection :</span></dt><dd>Equidistant Cylindrical</dd><dt><span>latitude_units :</span></dt><dd>degrees_north</dd><dt><span>longitude_units :</span></dt><dd>degrees_east</dd><dt><span>northernmost_latitude :</span></dt><dd>90.0</dd><dt><span>southernmost_latitude :</span></dt><dd>-90.0</dd><dt><span>westernmost_longitude :</span></dt><dd>-180.0</dd><dt><span>easternmost_longitude :</span></dt><dd>180.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-90.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>latitude_step :</span></dt><dd>0.041666668</dd><dt><span>longitude_step :</span></dt><dd>0.041666668</dd><dt><span>sw_point_latitude :</span></dt><dd>-89.979164</dd><dt><span>sw_point_longitude :</span></dt><dd>-179.97917</dd><dt><span>spatialResolution :</span></dt><dd>4.64 km</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.041666668</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.041666668</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>number_of_lines :</span></dt><dd>4320</dd><dt><span>number_of_columns :</span></dt><dd>8640</dd><dt><span>measure :</span></dt><dd>Mean</dd><dt><span>suggested_image_scaling_minimum :</span></dt><dd>-2.0</dd><dt><span>suggested_image_scaling_maximum :</span></dt><dd>45.0</dd><dt><span>suggested_image_scaling_type :</span></dt><dd>LINEAR</dd><dt><span>suggested_image_scaling_applied :</span></dt><dd>No</dd><dt><span>_lastModified :</span></dt><dd>2019-12-17T13:37:04.000Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.6 ACDD-1.3</dd><dt><span>institution :</span></dt><dd>NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v36</dd><dt><span>naming_authority :</span></dt><dd>gov.nasa.gsfc.sci.oceandata</dd><dt><span>id :</span></dt><dd>AQUA_MODIS.20160516_20160523.L3b.8D.SST.nc/L3/AQUA_MODIS.20160516_20160523.L3b.8D.SST.nc</dd><dt><span>license :</span></dt><dd>https://science.nasa.gov/earth-science/earth-science-data/data-information-policy/</dd><dt><span>creator_name :</span></dt><dd>NASA/GSFC/OBPG</dd><dt><span>publisher_name :</span></dt><dd>NASA/GSFC/OBPG</dd><dt><span>creator_email :</span></dt><dd>data@oceancolor.gsfc.nasa.gov</dd><dt><span>publisher_email :</span></dt><dd>data@oceancolor.gsfc.nasa.gov</dd><dt><span>creator_url :</span></dt><dd>https://oceandata.sci.gsfc.nasa.gov</dd><dt><span>publisher_url :</span></dt><dd>https://oceandata.sci.gsfc.nasa.gov</dd><dt><span>processing_level :</span></dt><dd>L3 Mapped</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Optics &gt; Sea Surface Temperature</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>data_bins :</span></dt><dd>16908859</dd><dt><span>data_minimum :</span></dt><dd>-1.8</dd><dt><span>data_maximum :</span></dt><dd>39.985</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:   (lat: 4320, lon: 8640, rgb: 3, eightbitcolor: 256)\n",
       "Coordinates:\n",
       "  * lat       (lat) float32 89.98 89.94 89.9 89.85 ... -89.9 -89.94 -89.98\n",
       "  * lon       (lon) float32 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Dimensions without coordinates: rgb, eightbitcolor\n",
       "Data variables:\n",
       "    sst       (lat, lon) float32 ...\n",
       "    qual_sst  (lat, lon) float32 ...\n",
       "    palette   (rgb, eightbitcolor) uint8 ...\n",
       "Attributes: (12/61)\n",
       "    product_name:                     AQUA_MODIS.20160516_20160523.L3m.8D.SST...\n",
       "    instrument:                       MODIS\n",
       "    title:                            MODISA Level-3 Standard Mapped Image\n",
       "    project:                          Ocean Biology Processing Group (NASA/GS...\n",
       "    platform:                         Aqua\n",
       "    temporal_range:                   8-day\n",
       "    ...                               ...\n",
       "    cdm_data_type:                    grid\n",
       "    keywords:                         Earth Science > Oceans > Ocean Optics >...\n",
       "    keywords_vocabulary:              NASA Global Change Master Directory (GC...\n",
       "    data_bins:                        16908859\n",
       "    data_minimum:                     -1.8\n",
       "    data_maximum:                     39.985"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sst_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6593ddc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x19039f470>"
      ]
     },
     "execution_count": 12,
     "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": [
    "sst_ds.sst.plot(x=\"lon\", vmin=0, vmax=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "46d074fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "#bbp_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cf9504fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#bbp_ds.bbp_443.plot(x='lon', vmin=0, vmax=0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "228c83d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# concatenate the two datasets of variables into one dataset\n",
    "ds = xr.merge([chl_ds,sst_ds])  #,bbp_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "d5afd0d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:   (lat: 6811, lon: 13674, rgb: 3, eightbitcolor: 256)\n",
       "Coordinates:\n",
       "  * lat       (lat) float32 -89.98 -89.98 -89.94 -89.9 ... 89.9 89.9 89.94 89.98\n",
       "  * lon       (lon) float32 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Dimensions without coordinates: rgb, eightbitcolor\n",
       "Data variables:\n",
       "    chlor_a   (lat, lon) float32 nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "    sst       (lat, lon) float32 nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "    qual_sst  (lat, lon) float32 nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "    palette   (rgb, eightbitcolor) uint8 ...\n",
       "Attributes: (12/62)\n",
       "    product_name:                     AQUA_MODIS.20160516_20160523.L3m.8D.CHL...\n",
       "    instrument:                       MODIS\n",
       "    title:                            MODISA Level-3 Standard Mapped Image\n",
       "    project:                          Ocean Biology Processing Group (NASA/GS...\n",
       "    platform:                         Aqua\n",
       "    source:                           satellite observations from MODIS-Aqua\n",
       "    ...                               ...\n",
       "    cdm_data_type:                    grid\n",
       "    keywords:                         Earth Science &gt; Oceans &gt; Ocean Chemistr...\n",
       "    keywords_vocabulary:              NASA Global Change Master Directory (GC...\n",
       "    data_bins:                        12142689\n",
       "    data_minimum:                     0.0024211504\n",
       "    data_maximum:                     86.086975</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ff78ed7e-4b83-4526-b99f-809b72948bdc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ff78ed7e-4b83-4526-b99f-809b72948bdc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 6811</li><li><span class='xr-has-index'>lon</span>: 13674</li><li><span>rgb</span>: 3</li><li><span>eightbitcolor</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3b8da305-d698-458a-b98b-8b4939f23d3f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3b8da305-d698-458a-b98b-8b4939f23d3f' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.98 -89.98 ... 89.94 89.98</div><input id='attrs-8e017dc3-7d09-49fb-b96c-63e815f12d9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e017dc3-7d09-49fb-b96c-63e815f12d9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d161138-a36c-4f18-844e-034c9aed8118' class='xr-var-data-in' type='checkbox'><label for='data-0d161138-a36c-4f18-844e-034c9aed8118' 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>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd></dl></div><div class='xr-var-data'><pre>array([-89.97918 , -89.97917 , -89.93751 , ...,  89.895836,  89.9375  ,\n",
       "        89.979164], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-64261a4f-c7bd-4ca4-a6c6-7f290cc81f0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64261a4f-c7bd-4ca4-a6c6-7f290cc81f0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0b802dc-eca4-4d7c-9425-7abf061576ee' class='xr-var-data-in' type='checkbox'><label for='data-c0b802dc-eca4-4d7c-9425-7abf061576ee' 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>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>array([-179.97917, -179.9375 , -179.89584, ...,  179.89584,  179.93752,\n",
       "        179.97917], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4c6d5ac6-fb49-4ecb-9b44-0b6fd097757d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4c6d5ac6-fb49-4ecb-9b44-0b6fd097757d' class='xr-section-summary' >Data variables: <span>(4)</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>chlor_a</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-2b360541-0dac-4a0f-9ada-54038f5c7bc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b360541-0dac-4a0f-9ada-54038f5c7bc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14bf43eb-9d43-4b9a-9699-e75d3cc6f6c1' class='xr-var-data-in' type='checkbox'><label for='data-14bf43eb-9d43-4b9a-9699-e75d3cc6f6c1' 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>Chlorophyll Concentration, OCI Algorithm</dd><dt><span>units :</span></dt><dd>mg m^-3</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_in_sea_water</dd><dt><span>valid_min :</span></dt><dd>0.001</dd><dt><span>valid_max :</span></dt><dd>100.0</dd><dt><span>reference :</span></dt><dd>Hu, C., Lee Z., and Franz, B.A. (2012). Chlorophyll-a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference, J. Geophys. Res., 117, C01011, doi:10.1029/2011JC007395.</dd><dt><span>display_scale :</span></dt><dd>log</dd><dt><span>display_min :</span></dt><dd>0.01</dd><dt><span>display_max :</span></dt><dd>20.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-84756ec4-39bc-444a-99da-225d48546456' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84756ec4-39bc-444a-99da-225d48546456' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-540e07b6-3da3-45ef-a20a-20e011413d08' class='xr-var-data-in' type='checkbox'><label for='data-540e07b6-3da3-45ef-a20a-20e011413d08' 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>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>valid_min :</span></dt><dd>-1000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>display_scale :</span></dt><dd>linear</dd><dt><span>display_min :</span></dt><dd>-2.0</dd><dt><span>display_max :</span></dt><dd>45.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qual_sst</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-35bedbcf-8e47-4349-a51d-c0612a2598ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35bedbcf-8e47-4349-a51d-c0612a2598ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-845ef22f-2ec6-421b-8ba5-4df60f49020d' class='xr-var-data-in' type='checkbox'><label for='data-845ef22f-2ec6-421b-8ba5-4df60f49020d' 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>Quality Levels, Sea Surface Temperature</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>5</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>palette</span></div><div class='xr-var-dims'>(rgb, eightbitcolor)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5e7424c2-a305-465b-8b5c-39e0ad388284' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e7424c2-a305-465b-8b5c-39e0ad388284' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-788def20-915e-4c89-bed7-e6707ab10b90' class='xr-var-data-in' type='checkbox'><label for='data-788def20-915e-4c89-bed7-e6707ab10b90' 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'></dl></div><div class='xr-var-data'><pre>[768 values with dtype=uint8]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3b6f0df0-1354-4627-a60f-552c8e31e217' class='xr-section-summary-in' type='checkbox'  ><label for='section-3b6f0df0-1354-4627-a60f-552c8e31e217' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-44114f30-9b2e-4395-9999-4b06da103530' class='xr-index-data-in' type='checkbox'/><label for='index-44114f30-9b2e-4395-9999-4b06da103530' 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([-89.97917938232422, -89.97917175292969, -89.93750762939453,\n",
       "       -89.89583587646484, -89.85417938232422, -89.85417175292969,\n",
       "       -89.81250762939453, -89.77083587646484, -89.72917938232422,\n",
       "       -89.72917175292969,\n",
       "       ...\n",
       "                  89.6875,  89.72916412353516,  89.77082824707031,\n",
       "        89.77083587646484,            89.8125,  89.85416412353516,\n",
       "        89.89582824707031,  89.89583587646484,            89.9375,\n",
       "        89.97916412353516],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=6811))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bb7992ba-d37a-437f-b9f3-7e584d3a4368' class='xr-index-data-in' type='checkbox'/><label for='index-bb7992ba-d37a-437f-b9f3-7e584d3a4368' 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([ -179.9791717529297,           -179.9375, -179.89584350585938,\n",
       "        -179.8958282470703,  -179.8541717529297,           -179.8125,\n",
       "       -179.77084350585938,  -179.7708282470703,  -179.7291717529297,\n",
       "                 -179.6875,\n",
       "       ...\n",
       "        179.68751525878906,   179.7291717529297,   179.7708282470703,\n",
       "        179.77084350585938,  179.81251525878906,   179.8541717529297,\n",
       "         179.8958282470703,  179.89584350585938,  179.93751525878906,\n",
       "         179.9791717529297],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=13674))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a784a2ec-e626-45d6-a652-980b60aca871' class='xr-section-summary-in' type='checkbox'  ><label for='section-a784a2ec-e626-45d6-a652-980b60aca871' class='xr-section-summary' >Attributes: <span>(62)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>product_name :</span></dt><dd>AQUA_MODIS.20160516_20160523.L3m.8D.CHL.chlor_a.4km.nc</dd><dt><span>instrument :</span></dt><dd>MODIS</dd><dt><span>title :</span></dt><dd>MODISA Level-3 Standard Mapped Image</dd><dt><span>project :</span></dt><dd>Ocean Biology Processing Group (NASA/GSFC/OBPG)</dd><dt><span>platform :</span></dt><dd>Aqua</dd><dt><span>source :</span></dt><dd>satellite observations from MODIS-Aqua</dd><dt><span>temporal_range :</span></dt><dd>8-day</dd><dt><span>processing_version :</span></dt><dd>R2022.0</dd><dt><span>date_created :</span></dt><dd>2022-07-25T19:12:15.000Z</dd><dt><span>history :</span></dt><dd>l3mapgen par=AQUA_MODIS.20160516_20160523.L3m.8D.CHL.chlor_a.4km.nc.param </dd><dt><span>l2_flag_names :</span></dt><dd>ATMFAIL,LAND,HILT,HISATZEN,STRAYLIGHT,CLDICE,COCCOLITH,LOWLW,CHLWARN,CHLFAIL,NAVWARN,MAXAERITER,ATMWARN,HISOLZEN,NAVFAIL,FILTER,HIGLINT</dd><dt><span>time_coverage_start :</span></dt><dd>2016-05-16T00:55:01.000Z</dd><dt><span>time_coverage_end :</span></dt><dd>2016-05-24T02:15:00.000Z</dd><dt><span>start_orbit_number :</span></dt><dd>74644</dd><dt><span>end_orbit_number :</span></dt><dd>74762</dd><dt><span>map_projection :</span></dt><dd>Equidistant Cylindrical</dd><dt><span>latitude_units :</span></dt><dd>degrees_north</dd><dt><span>longitude_units :</span></dt><dd>degrees_east</dd><dt><span>northernmost_latitude :</span></dt><dd>90.0</dd><dt><span>southernmost_latitude :</span></dt><dd>-90.0</dd><dt><span>westernmost_longitude :</span></dt><dd>-180.0</dd><dt><span>easternmost_longitude :</span></dt><dd>180.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-90.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>latitude_step :</span></dt><dd>0.041666668</dd><dt><span>longitude_step :</span></dt><dd>0.041666668</dd><dt><span>sw_point_latitude :</span></dt><dd>-89.979164</dd><dt><span>sw_point_longitude :</span></dt><dd>-179.97917</dd><dt><span>spatialResolution :</span></dt><dd>4.638312 km</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>4.638312 km</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>4.638312 km</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>number_of_lines :</span></dt><dd>4320</dd><dt><span>number_of_columns :</span></dt><dd>8640</dd><dt><span>measure :</span></dt><dd>Mean</dd><dt><span>suggested_image_scaling_minimum :</span></dt><dd>0.01</dd><dt><span>suggested_image_scaling_maximum :</span></dt><dd>20.0</dd><dt><span>suggested_image_scaling_type :</span></dt><dd>LOG</dd><dt><span>suggested_image_scaling_applied :</span></dt><dd>No</dd><dt><span>_lastModified :</span></dt><dd>2022-07-25T19:12:15.000Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.6 ACDD-1.3</dd><dt><span>institution :</span></dt><dd>NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v36</dd><dt><span>naming_authority :</span></dt><dd>gov.nasa.gsfc.sci.oceandata</dd><dt><span>id :</span></dt><dd>R2022.0/L3/AQUA_MODIS.20160516_20160523.L3b.8D.CHL.nc</dd><dt><span>license :</span></dt><dd>https://science.nasa.gov/earth-science/earth-science-data/data-information-policy/</dd><dt><span>creator_name :</span></dt><dd>NASA/GSFC/OBPG</dd><dt><span>publisher_name :</span></dt><dd>NASA/GSFC/OBPG</dd><dt><span>creator_email :</span></dt><dd>data@oceancolor.gsfc.nasa.gov</dd><dt><span>publisher_email :</span></dt><dd>data@oceancolor.gsfc.nasa.gov</dd><dt><span>creator_url :</span></dt><dd>https://oceandata.sci.gsfc.nasa.gov</dd><dt><span>publisher_url :</span></dt><dd>https://oceandata.sci.gsfc.nasa.gov</dd><dt><span>processing_level :</span></dt><dd>L3 Mapped</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Chemistry &gt; Pigments &gt; Chlorophyll; Earth Science &gt; Oceans &gt; Ocean Chemistry &gt; Chlorophyllr</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>data_bins :</span></dt><dd>12142689</dd><dt><span>data_minimum :</span></dt><dd>0.0024211504</dd><dt><span>data_maximum :</span></dt><dd>86.086975</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:   (lat: 6811, lon: 13674, rgb: 3, eightbitcolor: 256)\n",
       "Coordinates:\n",
       "  * lat       (lat) float32 -89.98 -89.98 -89.94 -89.9 ... 89.9 89.9 89.94 89.98\n",
       "  * lon       (lon) float32 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Dimensions without coordinates: rgb, eightbitcolor\n",
       "Data variables:\n",
       "    chlor_a   (lat, lon) float32 nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "    sst       (lat, lon) float32 nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "    qual_sst  (lat, lon) float32 nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "    palette   (rgb, eightbitcolor) uint8 ...\n",
       "Attributes: (12/62)\n",
       "    product_name:                     AQUA_MODIS.20160516_20160523.L3m.8D.CHL...\n",
       "    instrument:                       MODIS\n",
       "    title:                            MODISA Level-3 Standard Mapped Image\n",
       "    project:                          Ocean Biology Processing Group (NASA/GS...\n",
       "    platform:                         Aqua\n",
       "    source:                           satellite observations from MODIS-Aqua\n",
       "    ...                               ...\n",
       "    cdm_data_type:                    grid\n",
       "    keywords:                         Earth Science > Oceans > Ocean Chemistr...\n",
       "    keywords_vocabulary:              NASA Global Change Master Directory (GC...\n",
       "    data_bins:                        12142689\n",
       "    data_minimum:                     0.0024211504\n",
       "    data_maximum:                     86.086975"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c8ae2c84",
   "metadata": {},
   "outputs": [],
   "source": [
    "# data_sst = ds['sst'].values  #,'chlor_a','bbp_443'\n",
    "# # Reshape the 2D variable into a 2D NumPy array\n",
    "# sst_reshaped = data_sst.reshape(-1, data_sst.shape[-1])\n",
    "\n",
    "# data_chla = ds['chlor_a'].values  #,'chlor_a','bbp_443'\n",
    "# # Reshape the 2D variable into a 2D NumPy array\n",
    "# chla_reshaped = data_chla.reshape(-1, data_chla.shape[-1])\n",
    "\n",
    "# data_bbp = ds['bbp_443'].values  #,'chlor_a','bbp_443'\n",
    "# # Reshape the 2D variable into a 2D NumPy array\n",
    "# bbp_reshaped = data_bbp.reshape(-1, data_bbp.shape[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4cced4d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "lats = abs(ds.lat.to_numpy())\n",
    "sst = ds.sst.to_numpy()\n",
    "chla = ds.chlor_a.to_numpy()\n",
    "#bbp = ds.bbp_443.to_numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "727bb856-7cd1-4026-8f9a-49dc0b08384b",
   "metadata": {},
   "outputs": [],
   "source": [
    "sst = sst_ds.sst.to_numpy()\n",
    "chla = chl_ds.chlor_a.to_numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b2f82644",
   "metadata": {},
   "outputs": [],
   "source": [
    "# repeat the latitude array so that it is the same size as the variable arrays\n",
    "#lat = np.repeat(lats[np.newaxis], 13674)\n",
    "#lat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "db997fe2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#lat = lat.flatten()\n",
    "sst = sst.flatten()\n",
    "chla = chla.flatten()\n",
    "#bbp = bbp.flatten()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "741379bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(37324800,)"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sst.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "ee235efa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(37324800,)"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chla.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "ae37baf9",
   "metadata": {},
   "outputs": [],
   "source": [
    "inputs = np.stack((sst,chla), axis=0) #lat,,bbp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "f02c9f92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 37324800)"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inputs.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "ba2ee6ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "inputs = np.transpose(inputs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "aefe4063",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(37324800, 2)"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inputs.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "1e2ed081",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>t_avg</th>\n",
       "      <th>chla_avg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.690886e+07</td>\n",
       "      <td>1.214269e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.923678e+01</td>\n",
       "      <td>4.725682e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.569515e+00</td>\n",
       "      <td>1.888570e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-1.800000e+00</td>\n",
       "      <td>2.421150e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.114000e+01</td>\n",
       "      <td>5.294751e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.212500e+01</td>\n",
       "      <td>1.030986e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.753500e+01</td>\n",
       "      <td>2.334667e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.998500e+01</td>\n",
       "      <td>8.608698e+01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              t_avg      chla_avg\n",
       "count  1.690886e+07  1.214269e+07\n",
       "mean   1.923678e+01  4.725682e-01\n",
       "std    9.569515e+00  1.888570e+00\n",
       "min   -1.800000e+00  2.421150e-03\n",
       "25%    1.114000e+01  5.294751e-02\n",
       "50%    2.212500e+01  1.030986e-01\n",
       "75%    2.753500e+01  2.334667e-01\n",
       "max    3.998500e+01  8.608698e+01"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_inputs = pd.DataFrame(inputs)\n",
    "# adding column name to the respective columns\n",
    "df_inputs.columns =['t_avg', 'chla_avg']\n",
    "df_inputs.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "e143351f-202c-45c7-b334-fd6967528417",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove rows with NaN values and store them in a separate DataFrame\n",
    "nan_rows = df_inputs[df_inputs.isna().any(axis=1)]\n",
    "df_inputs = df_inputs.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "c20b284d-7888-4e59-80df-2ef66f2ba9bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>4.896630e+06</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.346529e+01</td>\n",
       "      <td>0.932246</td>\n",
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       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.029969e+01</td>\n",
       "      <td>3.766004</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-1.800000e+00</td>\n",
       "      <td>0.006444</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.585000e+00</td>\n",
       "      <td>0.091110</td>\n",
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       "      <th>50%</th>\n",
       "      <td>1.032500e+01</td>\n",
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       "      <th>75%</th>\n",
       "      <td>2.466500e+01</td>\n",
       "      <td>0.472360</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.998500e+01</td>\n",
       "      <td>84.830292</td>\n",
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      ],
      "text/plain": [
       "              t_avg       chla_avg\n",
       "count  4.896630e+06  130460.000000\n",
       "mean   1.346529e+01       0.932246\n",
       "std    1.029969e+01       3.766004\n",
       "min   -1.800000e+00       0.006444\n",
       "25%    4.585000e+00       0.091110\n",
       "50%    1.032500e+01       0.171728\n",
       "75%    2.466500e+01       0.472360\n",
       "max    3.998500e+01      84.830292"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nan_rows.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "b7687b6a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# predict diatoms using the pre-trained sklearn RF model\n",
    "pred = loaded_model.predict(df_inputs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "b626514e-348f-4de6-affe-c2c900c12d32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.78888983, 2.43901448, 2.43901448, ..., 2.16593918, 1.27301817,\n",
       "       1.66007036])"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "cd9db5a6-3bb8-4f20-9dda-cb40e5200aa1",
   "metadata": {},
   "outputs": [
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       "          t_avg  chla_avg     Index\n",
       "1741409   0.150  0.224196   1741409\n",
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       "28506337  6.920  0.388678  28506337\n",
       "28506338  6.985  0.381277  28506338\n",
       "\n",
       "[12012229 rows x 3 columns]"
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     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# Add a column to the inputs dataframe with the index values\n",
    "df_inputs['Index'] = df_inputs.index\n",
    "df_inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "97fa6982",
   "metadata": {},
   "outputs": [
    {
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       "      <th>...</th>\n",
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      "text/plain": [
       "             diatC\n",
       "0         1.788890\n",
       "1         2.439014\n",
       "2         2.439014\n",
       "3         1.813110\n",
       "4         1.813110\n",
       "...            ...\n",
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       "12012228  1.660070\n",
       "\n",
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     "execution_count": 181,
     "metadata": {},
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   "source": [
    "pred = pd.DataFrame(pred)\n",
    "pred.columns = ['diatC']\n",
    "pred"
   ]
  },
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   "execution_count": 182,
   "id": "356fdc9a-f43d-48fe-8c0c-bba80533de73",
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       "      <td>5.510023e-02</td>\n",
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       "              diatC\n",
       "count  1.201223e+07\n",
       "mean   2.330698e+00\n",
       "std    8.892145e+00\n",
       "min    8.170563e-03\n",
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       "50%    1.182009e-01\n",
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   "cell_type": "code",
   "execution_count": 208,
   "id": "7a1b1107-7700-44e8-bee6-59843c8cce29",
   "metadata": {},
   "outputs": [
    {
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       "             diatC\n",
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       "4         1.813110\n",
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       "12012228  1.660070\n",
       "\n",
       "[12012229 rows x 1 columns]"
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     "metadata": {},
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   "execution_count": 210,
   "id": "f490fd96-537a-401c-a466-60f9f9ddd8ad",
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   "outputs": [
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       "             diatC\n",
       "Index             \n",
       "1741409   1.788890\n",
       "1750040   2.439014\n",
       "1750041   2.439014\n",
       "1750042   1.813110\n",
       "1750043   1.813110\n",
       "...            ...\n",
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       "28506336  2.165939\n",
       "28506337  1.273018\n",
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       "\n",
       "[12012229 rows x 1 columns]"
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     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "# re-assign the dataframe of predicted diatom index values to match the original input data\n",
    "pred = pred.set_index(df_inputs['Index'])\n",
    "pred"
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   "cell_type": "code",
   "execution_count": 211,
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       "          diatC  t_avg  chla_avg\n",
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   "execution_count": 212,
   "id": "304814ae-d1d3-4c2a-a000-8eebd555f71f",
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    {
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       "              diatC\n",
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   "id": "c18e2321",
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   "execution_count": 214,
   "id": "62deab18-11ce-4ba1-aa75-b3a9c097eda5",
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   "cell_type": "code",
   "execution_count": 218,
   "id": "0cf3ef58",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (dim_0: 4320, dim_1: 8640)&gt;\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
       "Dimensions without coordinates: dim_0, dim_1</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'></div><ul class='xr-dim-list'><li><span>dim_0</span>: 4320</li><li><span>dim_1</span>: 8640</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1fd436e4-7af9-403c-a8ff-91171f0a38a6' class='xr-array-in' type='checkbox' checked><label for='section-1fd436e4-7af9-403c-a8ff-91171f0a38a6' 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>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-ea690b52-f1fe-48af-8ebf-0e2abeb97ee6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ea690b52-f1fe-48af-8ebf-0e2abeb97ee6' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-bb70c0ec-ea96-4ed5-9b68-8b3d428d6365' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bb70c0ec-ea96-4ed5-9b68-8b3d428d6365' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-39a780d7-2f2e-4772-a158-2bb4cb2c3d0b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-39a780d7-2f2e-4772-a158-2bb4cb2c3d0b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (dim_0: 4320, dim_1: 8640)>\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
       "Dimensions without coordinates: dim_0, dim_1"
      ]
     },
     "execution_count": 218,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diatx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "id": "fcf6b48f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# copy attribute from chla variable to use the same lat/lon for diatoms\n",
    "test = chl_ds.chlor_a.copy(data=diatx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "id": "5da2a394",
   "metadata": {},
   "outputs": [],
   "source": [
    "test = test.rename('diat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "6623b331",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;diat&#x27; (lat: 4320, lon: 8640)&gt;\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 89.98 89.94 89.9 89.85 ... -89.85 -89.9 -89.94 -89.98\n",
       "  * lon      (lon) float32 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Attributes:\n",
       "    long_name:      Chlorophyll Concentration, OCI Algorithm\n",
       "    units:          mg m^-3\n",
       "    standard_name:  mass_concentration_of_chlorophyll_in_sea_water\n",
       "    valid_min:      0.001\n",
       "    valid_max:      100.0\n",
       "    reference:      Hu, C., Lee Z., and Franz, B.A. (2012). Chlorophyll-a alg...\n",
       "    display_scale:  log\n",
       "    display_min:    0.01\n",
       "    display_max:    20.0</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'>'diat'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 4320</li><li><span class='xr-has-index'>lon</span>: 8640</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7f6a037c-bb4f-487c-857f-f8015a9eb6c8' class='xr-array-in' type='checkbox' checked><label for='section-7f6a037c-bb4f-487c-857f-f8015a9eb6c8' 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>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-a952ccf9-32d6-44b3-ad8f-8cfa1850caa5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a952ccf9-32d6-44b3-ad8f-8cfa1850caa5' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>89.98 89.94 89.9 ... -89.94 -89.98</div><input id='attrs-943f9d4a-3833-4468-b5b9-cabe18fa44df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-943f9d4a-3833-4468-b5b9-cabe18fa44df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f437582-f8bc-4035-bd5f-8417d5657784' class='xr-var-data-in' type='checkbox'><label for='data-3f437582-f8bc-4035-bd5f-8417d5657784' 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>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd></dl></div><div class='xr-var-data'><pre>array([ 89.979164,  89.9375  ,  89.895836, ..., -89.895836, -89.93751 ,\n",
       "       -89.97917 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-86f17c83-35db-4f0a-af0a-a1367d1e847c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86f17c83-35db-4f0a-af0a-a1367d1e847c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c6b066b-1913-457f-bf50-57ebbcad8758' class='xr-var-data-in' type='checkbox'><label for='data-9c6b066b-1913-457f-bf50-57ebbcad8758' 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>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>array([-179.97917, -179.9375 , -179.89583, ...,  179.89584,  179.93752,\n",
       "        179.97917], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ca2361ad-b9de-4c77-9927-18164b2d7533' class='xr-section-summary-in' type='checkbox'  ><label for='section-ca2361ad-b9de-4c77-9927-18164b2d7533' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e23f0aa3-a987-4b8b-a08f-af0914fdd216' class='xr-index-data-in' type='checkbox'/><label for='index-e23f0aa3-a987-4b8b-a08f-af0914fdd216' 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([ 89.97916412353516,            89.9375,  89.89583587646484,\n",
       "        89.85416412353516,            89.8125,  89.77083587646484,\n",
       "        89.72916412353516,            89.6875,  89.64583587646484,\n",
       "        89.60416412353516,\n",
       "       ...\n",
       "       -89.60417175292969, -89.64583587646484, -89.68750762939453,\n",
       "       -89.72917175292969, -89.77083587646484, -89.81250762939453,\n",
       "       -89.85417175292969, -89.89583587646484, -89.93750762939453,\n",
       "       -89.97917175292969],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=4320))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c6367e8a-4a27-425f-b7af-65a2c63ecaa0' class='xr-index-data-in' type='checkbox'/><label for='index-c6367e8a-4a27-425f-b7af-65a2c63ecaa0' 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([-179.9791717529297,          -179.9375, -179.8958282470703,\n",
       "       -179.8541717529297,          -179.8125, -179.7708282470703,\n",
       "       -179.7291717529297,          -179.6875, -179.6458282470703,\n",
       "       -179.6041717529297,\n",
       "       ...\n",
       "        179.6041717529297, 179.64584350585938, 179.68751525878906,\n",
       "        179.7291717529297, 179.77084350585938, 179.81251525878906,\n",
       "        179.8541717529297, 179.89584350585938, 179.93751525878906,\n",
       "        179.9791717529297],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=8640))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-936ef07b-6d1b-4782-9fc2-f2d904e9c137' class='xr-section-summary-in' type='checkbox'  checked><label for='section-936ef07b-6d1b-4782-9fc2-f2d904e9c137' class='xr-section-summary' >Attributes: <span>(9)</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>Chlorophyll Concentration, OCI Algorithm</dd><dt><span>units :</span></dt><dd>mg m^-3</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_in_sea_water</dd><dt><span>valid_min :</span></dt><dd>0.001</dd><dt><span>valid_max :</span></dt><dd>100.0</dd><dt><span>reference :</span></dt><dd>Hu, C., Lee Z., and Franz, B.A. (2012). Chlorophyll-a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference, J. Geophys. Res., 117, C01011, doi:10.1029/2011JC007395.</dd><dt><span>display_scale :</span></dt><dd>log</dd><dt><span>display_min :</span></dt><dd>0.01</dd><dt><span>display_max :</span></dt><dd>20.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'diat' (lat: 4320, lon: 8640)>\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 89.98 89.94 89.9 89.85 ... -89.85 -89.9 -89.94 -89.98\n",
       "  * lon      (lon) float32 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Attributes:\n",
       "    long_name:      Chlorophyll Concentration, OCI Algorithm\n",
       "    units:          mg m^-3\n",
       "    standard_name:  mass_concentration_of_chlorophyll_in_sea_water\n",
       "    valid_min:      0.001\n",
       "    valid_max:      100.0\n",
       "    reference:      Hu, C., Lee Z., and Franz, B.A. (2012). Chlorophyll-a alg...\n",
       "    display_scale:  log\n",
       "    display_min:    0.01\n",
       "    display_max:    20.0"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "id": "2ef676aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = sst_ds.assign(diat=test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "id": "dc6a5beb",
   "metadata": {},
   "outputs": [
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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",
       "\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.Dataset&gt;\n",
       "Dimensions:   (lat: 4320, lon: 8640, rgb: 3, eightbitcolor: 256)\n",
       "Coordinates:\n",
       "  * lat       (lat) float32 89.98 89.94 89.9 89.85 ... -89.9 -89.94 -89.98\n",
       "  * lon       (lon) float32 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Dimensions without coordinates: rgb, eightbitcolor\n",
       "Data variables:\n",
       "    sst       (lat, lon) float32 nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "    qual_sst  (lat, lon) float32 ...\n",
       "    palette   (rgb, eightbitcolor) uint8 ...\n",
       "    diat      (lat, lon) float64 nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "Attributes: (12/61)\n",
       "    product_name:                     AQUA_MODIS.20160516_20160523.L3m.8D.SST...\n",
       "    instrument:                       MODIS\n",
       "    title:                            MODISA Level-3 Standard Mapped Image\n",
       "    project:                          Ocean Biology Processing Group (NASA/GS...\n",
       "    platform:                         Aqua\n",
       "    temporal_range:                   8-day\n",
       "    ...                               ...\n",
       "    cdm_data_type:                    grid\n",
       "    keywords:                         Earth Science &gt; Oceans &gt; Ocean Optics &gt;...\n",
       "    keywords_vocabulary:              NASA Global Change Master Directory (GC...\n",
       "    data_bins:                        16908859\n",
       "    data_minimum:                     -1.8\n",
       "    data_maximum:                     39.985</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1c3845a9-cc86-4568-b59f-f40721a17136' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1c3845a9-cc86-4568-b59f-f40721a17136' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 4320</li><li><span class='xr-has-index'>lon</span>: 8640</li><li><span>rgb</span>: 3</li><li><span>eightbitcolor</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-07dab47e-2628-4aeb-ac31-00e05f011ff3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-07dab47e-2628-4aeb-ac31-00e05f011ff3' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>89.98 89.94 89.9 ... -89.94 -89.98</div><input id='attrs-96ffebac-6519-4a93-b3d6-34be766c1764' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96ffebac-6519-4a93-b3d6-34be766c1764' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7594e2b7-9c94-4fbe-b565-95591b81b16d' class='xr-var-data-in' type='checkbox'><label for='data-7594e2b7-9c94-4fbe-b565-95591b81b16d' 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>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd></dl></div><div class='xr-var-data'><pre>array([ 89.979164,  89.9375  ,  89.89583 , ..., -89.895836, -89.93751 ,\n",
       "       -89.97918 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-13f01214-8eee-475f-9ecb-ee4c5261148a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13f01214-8eee-475f-9ecb-ee4c5261148a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef5d2b26-2f83-41fa-9055-e4209137aa76' class='xr-var-data-in' type='checkbox'><label for='data-ef5d2b26-2f83-41fa-9055-e4209137aa76' 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>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>array([-179.97917, -179.9375 , -179.89584, ...,  179.89583,  179.93752,\n",
       "        179.97917], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5363cf4-a86d-4ba4-9530-853dc29cff49' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f5363cf4-a86d-4ba4-9530-853dc29cff49' class='xr-section-summary' >Data variables: <span>(4)</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>sst</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-c082e02a-8f5b-4367-8853-6fc141048601' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c082e02a-8f5b-4367-8853-6fc141048601' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a34fff96-2ec4-47d3-89a2-8f55dda10b23' class='xr-var-data-in' type='checkbox'><label for='data-a34fff96-2ec4-47d3-89a2-8f55dda10b23' 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>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>valid_min :</span></dt><dd>-1000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>display_scale :</span></dt><dd>linear</dd><dt><span>display_min :</span></dt><dd>-2.0</dd><dt><span>display_max :</span></dt><dd>45.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qual_sst</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dff83d1d-bbc6-4de8-b1d1-06c8acac2da1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dff83d1d-bbc6-4de8-b1d1-06c8acac2da1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfe81e87-204e-4426-bfb8-14486497ce05' class='xr-var-data-in' type='checkbox'><label for='data-dfe81e87-204e-4426-bfb8-14486497ce05' 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>Quality Levels, Sea Surface Temperature</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>5</dd></dl></div><div class='xr-var-data'><pre>[37324800 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>palette</span></div><div class='xr-var-dims'>(rgb, eightbitcolor)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f8bda0a-80a2-4027-8b7e-1e4412493519' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f8bda0a-80a2-4027-8b7e-1e4412493519' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b15d472-da91-4f34-9dbc-1f16d2b9411d' class='xr-var-data-in' type='checkbox'><label for='data-5b15d472-da91-4f34-9dbc-1f16d2b9411d' 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'></dl></div><div class='xr-var-data'><pre>[768 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>diat</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-13a128fc-afe8-418c-b3a3-b3989bd58905' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13a128fc-afe8-418c-b3a3-b3989bd58905' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b241a88f-026d-4461-b524-53785cc640d9' class='xr-var-data-in' type='checkbox'><label for='data-b241a88f-026d-4461-b524-53785cc640d9' 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>Chlorophyll Concentration, OCI Algorithm</dd><dt><span>units :</span></dt><dd>mg m^-3</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_in_sea_water</dd><dt><span>valid_min :</span></dt><dd>0.001</dd><dt><span>valid_max :</span></dt><dd>100.0</dd><dt><span>reference :</span></dt><dd>Hu, C., Lee Z., and Franz, B.A. (2012). Chlorophyll-a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference, J. Geophys. Res., 117, C01011, doi:10.1029/2011JC007395.</dd><dt><span>display_scale :</span></dt><dd>log</dd><dt><span>display_min :</span></dt><dd>0.01</dd><dt><span>display_max :</span></dt><dd>20.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-820e6da8-1ad5-4baa-8fe0-e3f331d13712' class='xr-section-summary-in' type='checkbox'  ><label for='section-820e6da8-1ad5-4baa-8fe0-e3f331d13712' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eea1c38e-3ca8-49ba-b372-0093eebe9a58' class='xr-index-data-in' type='checkbox'/><label for='index-eea1c38e-3ca8-49ba-b372-0093eebe9a58' 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([ 89.97916412353516,            89.9375,  89.89582824707031,\n",
       "        89.85416412353516,            89.8125,  89.77082824707031,\n",
       "        89.72916412353516,            89.6875,  89.64582824707031,\n",
       "        89.60416412353516,\n",
       "       ...\n",
       "       -89.60417938232422, -89.64583587646484, -89.68750762939453,\n",
       "       -89.72917938232422, -89.77083587646484, -89.81250762939453,\n",
       "       -89.85417938232422, -89.89583587646484, -89.93750762939453,\n",
       "       -89.97917938232422],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=4320))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6cbf8805-fe73-4bcc-8f73-2cd3a3bbf0ec' class='xr-index-data-in' type='checkbox'/><label for='index-6cbf8805-fe73-4bcc-8f73-2cd3a3bbf0ec' 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([ -179.9791717529297,           -179.9375, -179.89584350585938,\n",
       "        -179.8541717529297,           -179.8125, -179.77084350585938,\n",
       "        -179.7291717529297,           -179.6875, -179.64584350585938,\n",
       "        -179.6041717529297,\n",
       "       ...\n",
       "         179.6041717529297,   179.6458282470703,  179.68751525878906,\n",
       "         179.7291717529297,   179.7708282470703,  179.81251525878906,\n",
       "         179.8541717529297,   179.8958282470703,  179.93751525878906,\n",
       "         179.9791717529297],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=8640))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-37aac0d9-dc07-493c-b87a-505f041837ed' class='xr-section-summary-in' type='checkbox'  ><label for='section-37aac0d9-dc07-493c-b87a-505f041837ed' class='xr-section-summary' >Attributes: <span>(61)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>product_name :</span></dt><dd>AQUA_MODIS.20160516_20160523.L3m.8D.SST.sst.4km.nc</dd><dt><span>instrument :</span></dt><dd>MODIS</dd><dt><span>title :</span></dt><dd>MODISA Level-3 Standard Mapped Image</dd><dt><span>project :</span></dt><dd>Ocean Biology Processing Group (NASA/GSFC/OBPG)</dd><dt><span>platform :</span></dt><dd>Aqua</dd><dt><span>temporal_range :</span></dt><dd>8-day</dd><dt><span>processing_version :</span></dt><dd>R2019.0</dd><dt><span>date_created :</span></dt><dd>2019-12-17T13:37:04.000Z</dd><dt><span>history :</span></dt><dd>l3mapgen par=AQUA_MODIS.20160516_20160523.L3m.8D.SST.sst.4km.nc.param </dd><dt><span>l2_flag_names :</span></dt><dd>LAND,HISOLZEN</dd><dt><span>time_coverage_start :</span></dt><dd>2016-05-16T00:55:01.000Z</dd><dt><span>time_coverage_end :</span></dt><dd>2016-05-24T02:15:00.000Z</dd><dt><span>start_orbit_number :</span></dt><dd>74644</dd><dt><span>end_orbit_number :</span></dt><dd>74762</dd><dt><span>map_projection :</span></dt><dd>Equidistant Cylindrical</dd><dt><span>latitude_units :</span></dt><dd>degrees_north</dd><dt><span>longitude_units :</span></dt><dd>degrees_east</dd><dt><span>northernmost_latitude :</span></dt><dd>90.0</dd><dt><span>southernmost_latitude :</span></dt><dd>-90.0</dd><dt><span>westernmost_longitude :</span></dt><dd>-180.0</dd><dt><span>easternmost_longitude :</span></dt><dd>180.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-90.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>latitude_step :</span></dt><dd>0.041666668</dd><dt><span>longitude_step :</span></dt><dd>0.041666668</dd><dt><span>sw_point_latitude :</span></dt><dd>-89.979164</dd><dt><span>sw_point_longitude :</span></dt><dd>-179.97917</dd><dt><span>spatialResolution :</span></dt><dd>4.64 km</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.041666668</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.041666668</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>number_of_lines :</span></dt><dd>4320</dd><dt><span>number_of_columns :</span></dt><dd>8640</dd><dt><span>measure :</span></dt><dd>Mean</dd><dt><span>suggested_image_scaling_minimum :</span></dt><dd>-2.0</dd><dt><span>suggested_image_scaling_maximum :</span></dt><dd>45.0</dd><dt><span>suggested_image_scaling_type :</span></dt><dd>LINEAR</dd><dt><span>suggested_image_scaling_applied :</span></dt><dd>No</dd><dt><span>_lastModified :</span></dt><dd>2019-12-17T13:37:04.000Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.6 ACDD-1.3</dd><dt><span>institution :</span></dt><dd>NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v36</dd><dt><span>naming_authority :</span></dt><dd>gov.nasa.gsfc.sci.oceandata</dd><dt><span>id :</span></dt><dd>AQUA_MODIS.20160516_20160523.L3b.8D.SST.nc/L3/AQUA_MODIS.20160516_20160523.L3b.8D.SST.nc</dd><dt><span>license :</span></dt><dd>https://science.nasa.gov/earth-science/earth-science-data/data-information-policy/</dd><dt><span>creator_name :</span></dt><dd>NASA/GSFC/OBPG</dd><dt><span>publisher_name :</span></dt><dd>NASA/GSFC/OBPG</dd><dt><span>creator_email :</span></dt><dd>data@oceancolor.gsfc.nasa.gov</dd><dt><span>publisher_email :</span></dt><dd>data@oceancolor.gsfc.nasa.gov</dd><dt><span>creator_url :</span></dt><dd>https://oceandata.sci.gsfc.nasa.gov</dd><dt><span>publisher_url :</span></dt><dd>https://oceandata.sci.gsfc.nasa.gov</dd><dt><span>processing_level :</span></dt><dd>L3 Mapped</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Optics &gt; Sea Surface Temperature</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>data_bins :</span></dt><dd>16908859</dd><dt><span>data_minimum :</span></dt><dd>-1.8</dd><dt><span>data_maximum :</span></dt><dd>39.985</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:   (lat: 4320, lon: 8640, rgb: 3, eightbitcolor: 256)\n",
       "Coordinates:\n",
       "  * lat       (lat) float32 89.98 89.94 89.9 89.85 ... -89.9 -89.94 -89.98\n",
       "  * lon       (lon) float32 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Dimensions without coordinates: rgb, eightbitcolor\n",
       "Data variables:\n",
       "    sst       (lat, lon) float32 nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "    qual_sst  (lat, lon) float32 ...\n",
       "    palette   (rgb, eightbitcolor) uint8 ...\n",
       "    diat      (lat, lon) float64 nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "Attributes: (12/61)\n",
       "    product_name:                     AQUA_MODIS.20160516_20160523.L3m.8D.SST...\n",
       "    instrument:                       MODIS\n",
       "    title:                            MODISA Level-3 Standard Mapped Image\n",
       "    project:                          Ocean Biology Processing Group (NASA/GS...\n",
       "    platform:                         Aqua\n",
       "    temporal_range:                   8-day\n",
       "    ...                               ...\n",
       "    cdm_data_type:                    grid\n",
       "    keywords:                         Earth Science > Oceans > Ocean Optics >...\n",
       "    keywords_vocabulary:              NASA Global Change Master Directory (GC...\n",
       "    data_bins:                        16908859\n",
       "    data_minimum:                     -1.8\n",
       "    data_maximum:                     39.985"
      ]
     },
     "execution_count": 223,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "86f02df8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1956bb770>"
      ]
     },
     "execution_count": 224,
     "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": [
    "ds.diat.plot(x=\"lon\",  norm=LogNorm(vmin=0.001, vmax=10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d631e099",
   "metadata": {},
   "outputs": [],
   "source": [
    "# use wrappers to combine sklearn and xarray\n",
    "#from sklearn_xarray import wrap"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "diatom algorithm",
   "language": "python",
   "name": "diatoms"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}