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@@ -0,0 +1,1375 @@
+{
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+   "cell_type": "markdown",
+   "id": "170a6469-6a68-4dd0-9e9e-4ba892e37b06",
+   "metadata": {},
+   "source": [
+    "# PACE data simple manipulation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "d2539bd8-1203-4fd3-a345-ea43276140c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import earthaccess\n",
+    "import xarray as xr\n",
+    "from xarray.backends.api import open_datatree\n",
+    "import matplotlib.pyplot as plt\n",
+    "import cartopy.crs as ccrs\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "1b9d9e3d-7f97-494c-b934-f3ed654b39a0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "auth = earthaccess.login(persist=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "5465b23b-caab-46ef-ad9d-f5d393c9a2b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "version_minor": 0
+      },
+      "text/plain": [
+       "QUEUEING TASKS | :   0%|          | 0/31 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "PROCESSING TASKS | :   0%|          | 0/31 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
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+      "text/plain": [
+       "COLLECTING RESULTS | :   0%|          | 0/31 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "tspan = (\"2024-07-01\", \"2024-07-31\")\n",
+    "\n",
+    "results = earthaccess.search_data(\n",
+    "    short_name=\"PACE_OCI_L3M_POC_NRT\",\n",
+    "    temporal=tspan,\n",
+    "    granule_name=\"*.DAY.*.0p1deg.*\",\n",
+    ")\n",
+    "\n",
+    "paths = earthaccess.open(results)"
+   ]
+  },
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 26MB\n",
+       "Dimensions:  (lat: 1800, lon: 3600, rgb: 3, eightbitcolor: 256)\n",
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+       "Attributes: (12/64)\n",
+       "    product_name:                      PACE_OCI.20240701.L3m.DAY.POC.V2_0.poc...\n",
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+       "    title:                             OCI Level-3 Standard Mapped Image\n",
+       "    project:                           Ocean Biology Processing Group (NASA/G...\n",
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+       "    ...                                ...\n",
+       "    identifier_product_doi:            10.5067/PACE/OCI/L3M/POC/2.0\n",
+       "    keywords:                          Earth Science &gt; Oceans &gt; Ocean Chemist...\n",
+       "    keywords_vocabulary:               NASA Global Change Master Directory (G...\n",
+       "    data_bins:                         745741\n",
+       "    data_minimum:                      18.199707\n",
+       "    data_maximum:                      1989.1997</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-d9b2b063-78dc-4c5e-b15b-02854d2789c0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d9b2b063-78dc-4c5e-b15b-02854d2789c0' 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>: 1800</li><li><span class='xr-has-index'>lon</span>: 3600</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-4de1f02b-1260-4922-871a-023af646158d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4de1f02b-1260-4922-871a-023af646158d' 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'>89.95 89.85 89.75 ... -89.85 -89.95</div><input id='attrs-88b1844a-0882-4647-93f8-51d98e52c0b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88b1844a-0882-4647-93f8-51d98e52c0b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9eebc67c-81ee-4c8c-a8d7-a7478e496e78' class='xr-var-data-in' type='checkbox'><label for='data-9eebc67c-81ee-4c8c-a8d7-a7478e496e78' 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([ 89.95    ,  89.85    ,  89.75    , ..., -89.75    , -89.850006,\n",
+       "       -89.950005], 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'>-179.9 -179.9 ... 179.9 180.0</div><input id='attrs-623332cb-bf93-41eb-bdf1-15f69b350d40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-623332cb-bf93-41eb-bdf1-15f69b350d40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d1ef8be-c569-4475-ac6f-ed58c177a784' class='xr-var-data-in' type='checkbox'><label for='data-3d1ef8be-c569-4475-ac6f-ed58c177a784' 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([-179.95   , -179.85   , -179.75   , ...,  179.75   ,  179.85   ,\n",
+       "        179.95001], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9533bd56-2252-4494-acb3-ddaca8b4ec16' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9533bd56-2252-4494-acb3-ddaca8b4ec16' 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>poc</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-a5bad5dc-1576-4f8b-9fe4-76d8f7595143' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5bad5dc-1576-4f8b-9fe4-76d8f7595143' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e02ee4e-bf52-4758-929b-36f91a64022f' class='xr-var-data-in' type='checkbox'><label for='data-9e02ee4e-bf52-4758-929b-36f91a64022f' 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>Particulate Organic Carbon, D. Stramski, 2022 (hybrid version)</dd><dt><span>units :</span></dt><dd>mg m^-3</dd><dt><span>valid_min :</span></dt><dd>-32000</dd><dt><span>valid_max :</span></dt><dd>-22000</dd><dt><span>reference :</span></dt><dd>Stramski, D., et al. &quot;Ocean color algorithms to estimate the concentration of particulate organic carbon in surface waters of the global ocean in support of a long-term data record from multiple satellite missions.&quot; Remote Sensing of Environment 269 (2022)</dd><dt><span>display_scale :</span></dt><dd>log</dd><dt><span>display_min :</span></dt><dd>10.0</dd><dt><span>display_max :</span></dt><dd>1000.0</dd></dl></div><div class='xr-var-data'><pre>[6480000 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-65c9a513-4f9e-4d16-89fa-99b93c309f1e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-65c9a513-4f9e-4d16-89fa-99b93c309f1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ab9d970-7271-4a95-9b17-f0a0ee3f9d1e' class='xr-var-data-in' type='checkbox'><label for='data-0ab9d970-7271-4a95-9b17-f0a0ee3f9d1e' 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-6ee37bb3-552a-4573-94f0-7596651cd8b9' class='xr-section-summary-in' type='checkbox'  ><label for='section-6ee37bb3-552a-4573-94f0-7596651cd8b9' 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-61e46d9f-2313-45b0-a880-3c88048e358f' class='xr-index-data-in' type='checkbox'/><label for='index-61e46d9f-2313-45b0-a880-3c88048e358f' 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([ 89.94999694824219,   89.8499984741211,              89.75,\n",
+       "         89.6500015258789,  89.55000305175781,  89.44999694824219,\n",
+       "         89.3499984741211,              89.25,   89.1500015258789,\n",
+       "        89.05000305175781,\n",
+       "       ...\n",
+       "       -89.05000305175781,  -89.1500015258789,             -89.25,\n",
+       "       -89.35000610351562, -89.45000457763672, -89.55000305175781,\n",
+       "        -89.6500015258789,             -89.75, -89.85000610351562,\n",
+       "       -89.95000457763672],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=1800))</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-0bcee3a6-1733-4cb3-842d-5b1a82d20e18' class='xr-index-data-in' type='checkbox'/><label for='index-0bcee3a6-1733-4cb3-842d-5b1a82d20e18' 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([ -179.9499969482422, -179.85000610351562,             -179.75,\n",
+       "       -179.64999389648438,  -179.5500030517578,  -179.4499969482422,\n",
+       "       -179.35000610351562,             -179.25, -179.14999389648438,\n",
+       "        -179.0500030517578,\n",
+       "       ...\n",
+       "         179.0500030517578,  179.15000915527344,              179.25,\n",
+       "        179.35000610351562,  179.45001220703125,   179.5500030517578,\n",
+       "        179.65000915527344,              179.75,  179.85000610351562,\n",
+       "        179.95001220703125],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=3600))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-556d47e3-43b5-4d5e-804d-11c3452f9b8f' class='xr-section-summary-in' type='checkbox'  ><label for='section-556d47e3-43b5-4d5e-804d-11c3452f9b8f' class='xr-section-summary' >Attributes: <span>(64)</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>PACE_OCI.20240701.L3m.DAY.POC.V2_0.poc.0p1deg.NRT.nc</dd><dt><span>instrument :</span></dt><dd>OCI</dd><dt><span>title :</span></dt><dd>OCI 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>PACE</dd><dt><span>source :</span></dt><dd>satellite observations from OCI-PACE</dd><dt><span>temporal_range :</span></dt><dd>day</dd><dt><span>processing_version :</span></dt><dd>2.0</dd><dt><span>date_created :</span></dt><dd>2024-07-04T20:03:09.000Z</dd><dt><span>history :</span></dt><dd>l3mapgen par=PACE_OCI.20240701.L3m.DAY.POC.V2_0.poc.0p1deg.NRT.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>2024-06-30T23:49:46.000Z</dd><dt><span>time_coverage_end :</span></dt><dd>2024-07-02T01:52:44.000Z</dd><dt><span>start_orbit_number :</span></dt><dd>0</dd><dt><span>end_orbit_number :</span></dt><dd>0</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>0.1</dd><dt><span>longitude_step :</span></dt><dd>0.1</dd><dt><span>sw_point_latitude :</span></dt><dd>-89.95</dd><dt><span>sw_point_longitude :</span></dt><dd>-179.95</dd><dt><span>spatialResolution :</span></dt><dd>11.131949 km</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>11.131949 km</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>11.131949 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>1800</dd><dt><span>number_of_columns :</span></dt><dd>3600</dd><dt><span>measure :</span></dt><dd>Mean</dd><dt><span>suggested_image_scaling_minimum :</span></dt><dd>10.0</dd><dt><span>suggested_image_scaling_maximum :</span></dt><dd>1000.0</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>2024-07-04T20:03:09.000Z</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>2.0/L3/PACE_OCI.20240701.L3b.DAY.POC.V2_0.NRT.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>identifier_product_doi_authority :</span></dt><dd>http://dx.doi.org</dd><dt><span>identifier_product_doi :</span></dt><dd>10.5067/PACE/OCI/L3M/POC/2.0</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Chemistry &gt; Organic Carbon</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>data_bins :</span></dt><dd>745741</dd><dt><span>data_minimum :</span></dt><dd>18.199707</dd><dt><span>data_maximum :</span></dt><dd>1989.1997</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 26MB\n",
+       "Dimensions:  (lat: 1800, lon: 3600, rgb: 3, eightbitcolor: 256)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 7kB 89.95 89.85 89.75 89.65 ... -89.75 -89.85 -89.95\n",
+       "  * lon      (lon) float32 14kB -179.9 -179.9 -179.8 ... 179.8 179.9 180.0\n",
+       "Dimensions without coordinates: rgb, eightbitcolor\n",
+       "Data variables:\n",
+       "    poc      (lat, lon) float32 26MB ...\n",
+       "    palette  (rgb, eightbitcolor) uint8 768B ...\n",
+       "Attributes: (12/64)\n",
+       "    product_name:                      PACE_OCI.20240701.L3m.DAY.POC.V2_0.poc...\n",
+       "    instrument:                        OCI\n",
+       "    title:                             OCI Level-3 Standard Mapped Image\n",
+       "    project:                           Ocean Biology Processing Group (NASA/G...\n",
+       "    platform:                          PACE\n",
+       "    source:                            satellite observations from OCI-PACE\n",
+       "    ...                                ...\n",
+       "    identifier_product_doi:            10.5067/PACE/OCI/L3M/POC/2.0\n",
+       "    keywords:                          Earth Science > Oceans > Ocean Chemist...\n",
+       "    keywords_vocabulary:               NASA Global Change Master Directory (G...\n",
+       "    data_bins:                         745741\n",
+       "    data_minimum:                      18.199707\n",
+       "    data_maximum:                      1989.1997"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset = xr.open_dataset(paths[0])\n",
+    "dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "3c92546b-f29a-49c8-a6f5-e12d701cf4da",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "poc = np.array(dataset[\"poc\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "41c65d8f-3258-450b-b634-fb59dca29227",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(1800, 3600)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(poc.shape)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40100e1a-5a28-4235-8450-afd8c73ce5c9",
+   "metadata": {},
+   "source": [
+    "## 1. Statistical Operations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "82430cd6-3598-47e3-8149-08e741103810",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mean value: 79.23537\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Mean\n",
+    "mean_value = np.nanmean(poc)\n",
+    "print(\"Mean value:\", mean_value)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "5da6644f-ac62-4dcf-abee-6f0848f1d5fa",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Median value: 49.600098\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Median\n",
+    "median_value = np.nanmedian(poc)\n",
+    "print(\"Median value:\", median_value)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "28556b55-f719-45a5-9154-0d2b7132bc96",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Standard deviation: 105.90423\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Standard deviation\n",
+    "std_value = np.nanstd(poc)\n",
+    "print(\"Standard deviation:\", std_value)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "883157d1-ebb3-4922-a413-587b584ca0b9",
+   "metadata": {},
+   "source": [
+    "## 5. Boolean Indexing and Masking"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "14a00ac5-c09c-4721-8c77-22cedea10a12",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create a boolean mask\n",
+    "mask = poc > 100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "a8608965-940b-4f94-9497-5dde2c068e80",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Filtered poc (concentration > 100): [184.7998 184.7998 184.7998 ... 325.6001 289.1997 262.1997]\n"
+     ]
+    }
+   ],
+   "source": [
+    "filtered_poc = poc[mask]\n",
+    "print(\"Filtered poc (concentration > 100):\", filtered_poc)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bfe35f2b-ed1d-4f61-95eb-9e97301eff9e",
+   "metadata": {},
+   "source": [
+    "## 5. Regriding"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "93369b99-0ea6-42ed-9e56-915baccf0e85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "poc_10lat = np.reshape(poc, (180, 10, 3600))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "21a2740c-dfff-4029-abbf-b6ae20ecc7d1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_147/4091360230.py:1: RuntimeWarning: Mean of empty slice\n",
+      "  poc_latregrid = np.nanmean(poc_10lat, axis=1)\n"
+     ]
+    }
+   ],
+   "source": [
+    "poc_latregrid = np.nanmean(poc_10lat, axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "157fc29f-9830-4923-92c4-b716d7c1b542",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "poc_latregrid_10lon = np.reshape(poc_latregrid, (180, 360, 10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "115968bd-6bf4-4544-b689-0af4bd28e1f3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_147/1374962890.py:1: RuntimeWarning: Mean of empty slice\n",
+      "  poc_latregrid_lonregrid = np.nanmean(poc_latregrid_10lon, axis=2)\n"
+     ]
+    }
+   ],
+   "source": [
+    "poc_latregrid_lonregrid = np.nanmean(poc_latregrid_10lon, axis=2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "4806f2bc-7ba4-488a-b7ef-a4be9c021d13",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(180, 360)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(poc_latregrid_lonregrid.shape)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2577a09-6d5e-4f34-9044-5653690d324c",
+   "metadata": {},
+   "source": [
+    "## 9. Plotting Array Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "8f3cd51c-0bd2-4b40-a38c-cb6febe0757d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.imshow(poc_latregrid_lonregrid, cmap='viridis')\n",
+    "plt.colorbar()\n",
+    "plt.title(\"POC Data Visualization\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "ecf83f8a-1db3-4e84-8061-8e972f25249c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<defs>\n",
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+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
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+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
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+       "body[data-theme=dark],\n",
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+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\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; Size: 26MB\n",
+       "Dimensions:  (lat: 1800, lon: 3600, rgb: 3, eightbitcolor: 256)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 7kB 89.95 89.85 89.75 89.65 ... -89.75 -89.85 -89.95\n",
+       "  * lon      (lon) float32 14kB -179.9 -179.9 -179.8 ... 179.8 179.9 180.0\n",
+       "Dimensions without coordinates: rgb, eightbitcolor\n",
+       "Data variables:\n",
+       "    poc      (lat, lon) float32 26MB ...\n",
+       "    palette  (rgb, eightbitcolor) uint8 768B ...\n",
+       "Attributes: (12/64)\n",
+       "    product_name:                      PACE_OCI.20240702.L3m.DAY.POC.V2_0.poc...\n",
+       "    instrument:                        OCI\n",
+       "    title:                             OCI Level-3 Standard Mapped Image\n",
+       "    project:                           Ocean Biology Processing Group (NASA/G...\n",
+       "    platform:                          PACE\n",
+       "    source:                            satellite observations from OCI-PACE\n",
+       "    ...                                ...\n",
+       "    identifier_product_doi:            10.5067/PACE/OCI/L3M/POC/2.0\n",
+       "    keywords:                          Earth Science &gt; Oceans &gt; Ocean Chemist...\n",
+       "    keywords_vocabulary:               NASA Global Change Master Directory (G...\n",
+       "    data_bins:                         684721\n",
+       "    data_minimum:                      17.799805\n",
+       "    data_maximum:                      1961.0</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-42e5f054-35b3-4807-841c-24e6092516aa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-42e5f054-35b3-4807-841c-24e6092516aa' 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>: 1800</li><li><span class='xr-has-index'>lon</span>: 3600</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-c5a33136-d77a-46bb-9b6c-328cef10f015' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c5a33136-d77a-46bb-9b6c-328cef10f015' 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'>89.95 89.85 89.75 ... -89.85 -89.95</div><input id='attrs-afef9fd9-b8da-49db-a249-f18ac0005d34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afef9fd9-b8da-49db-a249-f18ac0005d34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90b5113d-eb49-4195-b374-8797b7e748ec' class='xr-var-data-in' type='checkbox'><label for='data-90b5113d-eb49-4195-b374-8797b7e748ec' 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([ 89.95    ,  89.85    ,  89.75    , ..., -89.75    , -89.850006,\n",
+       "       -89.950005], 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'>-179.9 -179.9 ... 179.9 180.0</div><input id='attrs-20d9c4da-04ed-45fd-bf24-9d1e41c54c41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20d9c4da-04ed-45fd-bf24-9d1e41c54c41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-561e4515-8864-4faf-b14e-bdb719e59e00' class='xr-var-data-in' type='checkbox'><label for='data-561e4515-8864-4faf-b14e-bdb719e59e00' 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([-179.95   , -179.85   , -179.75   , ...,  179.75   ,  179.85   ,\n",
+       "        179.95001], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c1e3af7-e1fb-4e93-baeb-2d80d8433ab2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9c1e3af7-e1fb-4e93-baeb-2d80d8433ab2' 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>poc</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-e0c19350-027b-4e35-9bf6-fa1826af5c11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0c19350-027b-4e35-9bf6-fa1826af5c11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62b9e4b9-021f-41f1-8c08-4391e81c6d3c' class='xr-var-data-in' type='checkbox'><label for='data-62b9e4b9-021f-41f1-8c08-4391e81c6d3c' 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>Particulate Organic Carbon, D. Stramski, 2022 (hybrid version)</dd><dt><span>units :</span></dt><dd>mg m^-3</dd><dt><span>valid_min :</span></dt><dd>-32000</dd><dt><span>valid_max :</span></dt><dd>-22000</dd><dt><span>reference :</span></dt><dd>Stramski, D., et al. &quot;Ocean color algorithms to estimate the concentration of particulate organic carbon in surface waters of the global ocean in support of a long-term data record from multiple satellite missions.&quot; Remote Sensing of Environment 269 (2022)</dd><dt><span>display_scale :</span></dt><dd>log</dd><dt><span>display_min :</span></dt><dd>10.0</dd><dt><span>display_max :</span></dt><dd>1000.0</dd></dl></div><div class='xr-var-data'><pre>[6480000 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-6fde410c-ba9a-46f5-a0aa-c0a9fa6ca988' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6fde410c-ba9a-46f5-a0aa-c0a9fa6ca988' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0efa40f6-2946-40a0-896a-c363a57bca62' class='xr-var-data-in' type='checkbox'><label for='data-0efa40f6-2946-40a0-896a-c363a57bca62' 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-75f82bc8-4262-476b-8b54-257241f2edad' class='xr-section-summary-in' type='checkbox'  ><label for='section-75f82bc8-4262-476b-8b54-257241f2edad' 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-14710b8b-90ff-45d6-8504-7acab67c8f50' class='xr-index-data-in' type='checkbox'/><label for='index-14710b8b-90ff-45d6-8504-7acab67c8f50' 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([ 89.94999694824219,   89.8499984741211,              89.75,\n",
+       "         89.6500015258789,  89.55000305175781,  89.44999694824219,\n",
+       "         89.3499984741211,              89.25,   89.1500015258789,\n",
+       "        89.05000305175781,\n",
+       "       ...\n",
+       "       -89.05000305175781,  -89.1500015258789,             -89.25,\n",
+       "       -89.35000610351562, -89.45000457763672, -89.55000305175781,\n",
+       "        -89.6500015258789,             -89.75, -89.85000610351562,\n",
+       "       -89.95000457763672],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=1800))</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-8bf1d105-a49c-4303-acbd-9f04afd3d3cf' class='xr-index-data-in' type='checkbox'/><label for='index-8bf1d105-a49c-4303-acbd-9f04afd3d3cf' 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([ -179.9499969482422, -179.85000610351562,             -179.75,\n",
+       "       -179.64999389648438,  -179.5500030517578,  -179.4499969482422,\n",
+       "       -179.35000610351562,             -179.25, -179.14999389648438,\n",
+       "        -179.0500030517578,\n",
+       "       ...\n",
+       "         179.0500030517578,  179.15000915527344,              179.25,\n",
+       "        179.35000610351562,  179.45001220703125,   179.5500030517578,\n",
+       "        179.65000915527344,              179.75,  179.85000610351562,\n",
+       "        179.95001220703125],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=3600))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7a0f8a98-6066-436c-a761-88b71705ab5c' class='xr-section-summary-in' type='checkbox'  ><label for='section-7a0f8a98-6066-436c-a761-88b71705ab5c' class='xr-section-summary' >Attributes: <span>(64)</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>PACE_OCI.20240702.L3m.DAY.POC.V2_0.poc.0p1deg.NRT.nc</dd><dt><span>instrument :</span></dt><dd>OCI</dd><dt><span>title :</span></dt><dd>OCI 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>PACE</dd><dt><span>source :</span></dt><dd>satellite observations from OCI-PACE</dd><dt><span>temporal_range :</span></dt><dd>day</dd><dt><span>processing_version :</span></dt><dd>2.0</dd><dt><span>date_created :</span></dt><dd>2024-07-04T20:03:29.000Z</dd><dt><span>history :</span></dt><dd>l3mapgen par=PACE_OCI.20240702.L3m.DAY.POC.V2_0.poc.0p1deg.NRT.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>2024-07-02T00:19:27.000Z</dd><dt><span>time_coverage_end :</span></dt><dd>2024-07-03T01:09:06.000Z</dd><dt><span>start_orbit_number :</span></dt><dd>0</dd><dt><span>end_orbit_number :</span></dt><dd>0</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>0.1</dd><dt><span>longitude_step :</span></dt><dd>0.1</dd><dt><span>sw_point_latitude :</span></dt><dd>-89.95</dd><dt><span>sw_point_longitude :</span></dt><dd>-179.95</dd><dt><span>spatialResolution :</span></dt><dd>11.131949 km</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>11.131949 km</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>11.131949 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>1800</dd><dt><span>number_of_columns :</span></dt><dd>3600</dd><dt><span>measure :</span></dt><dd>Mean</dd><dt><span>suggested_image_scaling_minimum :</span></dt><dd>10.0</dd><dt><span>suggested_image_scaling_maximum :</span></dt><dd>1000.0</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>2024-07-04T20:03:29.000Z</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>2.0/L3/PACE_OCI.20240702.L3b.DAY.POC.V2_0.NRT.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>identifier_product_doi_authority :</span></dt><dd>http://dx.doi.org</dd><dt><span>identifier_product_doi :</span></dt><dd>10.5067/PACE/OCI/L3M/POC/2.0</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Chemistry &gt; Organic Carbon</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>data_bins :</span></dt><dd>684721</dd><dt><span>data_minimum :</span></dt><dd>17.799805</dd><dt><span>data_maximum :</span></dt><dd>1961.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 26MB\n",
+       "Dimensions:  (lat: 1800, lon: 3600, rgb: 3, eightbitcolor: 256)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 7kB 89.95 89.85 89.75 89.65 ... -89.75 -89.85 -89.95\n",
+       "  * lon      (lon) float32 14kB -179.9 -179.9 -179.8 ... 179.8 179.9 180.0\n",
+       "Dimensions without coordinates: rgb, eightbitcolor\n",
+       "Data variables:\n",
+       "    poc      (lat, lon) float32 26MB ...\n",
+       "    palette  (rgb, eightbitcolor) uint8 768B ...\n",
+       "Attributes: (12/64)\n",
+       "    product_name:                      PACE_OCI.20240702.L3m.DAY.POC.V2_0.poc...\n",
+       "    instrument:                        OCI\n",
+       "    title:                             OCI Level-3 Standard Mapped Image\n",
+       "    project:                           Ocean Biology Processing Group (NASA/G...\n",
+       "    platform:                          PACE\n",
+       "    source:                            satellite observations from OCI-PACE\n",
+       "    ...                                ...\n",
+       "    identifier_product_doi:            10.5067/PACE/OCI/L3M/POC/2.0\n",
+       "    keywords:                          Earth Science > Oceans > Ocean Chemist...\n",
+       "    keywords_vocabulary:               NASA Global Change Master Directory (G...\n",
+       "    data_bins:                         684721\n",
+       "    data_minimum:                      17.799805\n",
+       "    data_maximum:                      1961.0"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset = xr.open_dataset(paths[1])\n",
+    "dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "0ece95d5-784b-4e4e-be52-185656561bff",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_147/2594940156.py:6: RuntimeWarning: Mean of empty slice\n",
+      "  poc_10lat = np.nanmean(poc_reshaped, axis=1)\n",
+      "/tmp/ipykernel_147/2594940156.py:7: RuntimeWarning: Mean of empty slice\n",
+      "  poc_10lat_10lon = np.nanmean(poc_10lat, axis=-1)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(31, 180, 360)\n"
+     ]
+    }
+   ],
+   "source": [
+    "pocs=[]\n",
+    "\n",
+    "for i in range(31):\n",
+    "    dataset = xr.open_dataset(paths[i])\n",
+    "    poc_reshaped = np.array(dataset[\"poc\"]).reshape((180,10,360,10))\n",
+    "    poc_10lat = np.nanmean(poc_reshaped, axis=1)\n",
+    "    poc_10lat_10lon = np.nanmean(poc_10lat, axis=-1)\n",
+    "    pocs.append(poc_10lat_10lon)\n",
+    "\n",
+    "poc_7_daily = np.stack(pocs) \n",
+    "\n",
+    "print(poc_7_daily.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "f17845a1-37cd-4d92-aac4-a23c931e8df6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_147/3791947967.py:1: RuntimeWarning: Mean of empty slice\n",
+      "  poc_7 = np.nanmean(poc_7_daily, axis=0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "poc_7 = np.nanmean(poc_7_daily, axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "78778e44-5783-4c3c-a455-f72b155a2318",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "poc_7_log10 = np.log10(poc_7)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "86285f27-d085-4d1d-9a05-dff07a7e9342",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.imshow(poc_7_log10, cmap='viridis')\n",
+    "plt.colorbar()\n",
+    "plt.title(\"POC daily average in July Data Visualization\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b7a90ee4-c182-43d4-95b7-ef6dc17cbbaa",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/POC_simple_regrid.ipynb b/notebooks/POC_simple_regrid.ipynb
deleted file mode 100644
index 9a65d24..0000000
--- a/notebooks/POC_simple_regrid.ipynb
+++ /dev/null
@@ -1,723 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "5ba635fc-a3ea-477b-b321-4d86d9319203",
-   "metadata": {},
-   "source": [
-    "# Example of simple re-gridding: POC"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "d2539bd8-1203-4fd3-a345-ea43276140c4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import earthaccess\n",
-    "import xarray as xr\n",
-    "from xarray.backends.api import open_datatree\n",
-    "import matplotlib.pyplot as plt\n",
-    "import cartopy.crs as ccrs\n",
-    "import numpy as np"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "1b9d9e3d-7f97-494c-b934-f3ed654b39a0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "auth = earthaccess.login(persist=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "5465b23b-caab-46ef-ad9d-f5d393c9a2b2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6774cdab7f324a21a93845f348b75caf",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "QUEUEING TASKS | :   0%|          | 0/31 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "13dc282cae12445baa226c63fd891614",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "PROCESSING TASKS | :   0%|          | 0/31 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6cd753e5a0a04a9da73c0ba2d5adf4ab",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "COLLECTING RESULTS | :   0%|          | 0/31 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "tspan = (\"2024-07-01\", \"2024-07-31\")\n",
-    "\n",
-    "results = earthaccess.search_data(\n",
-    "    short_name=\"PACE_OCI_L3M_POC_NRT\",\n",
-    "    temporal=tspan,\n",
-    "    granule_name=\"*.DAY.*.0p1deg.*\",\n",
-    ")\n",
-    "\n",
-    "paths = earthaccess.open(results)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "718bef2a-7ccd-4c13-9823-57a44afd7100",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 26MB\n",
-       "Dimensions:  (lat: 1800, lon: 3600, rgb: 3, eightbitcolor: 256)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 7kB 89.95 89.85 89.75 89.65 ... -89.75 -89.85 -89.95\n",
-       "  * lon      (lon) float32 14kB -179.9 -179.9 -179.8 ... 179.8 179.9 180.0\n",
-       "Dimensions without coordinates: rgb, eightbitcolor\n",
-       "Data variables:\n",
-       "    poc      (lat, lon) float32 26MB ...\n",
-       "    palette  (rgb, eightbitcolor) uint8 768B ...\n",
-       "Attributes: (12/64)\n",
-       "    product_name:                      PACE_OCI.20240701.L3m.DAY.POC.V2_0.poc...\n",
-       "    instrument:                        OCI\n",
-       "    title:                             OCI Level-3 Standard Mapped Image\n",
-       "    project:                           Ocean Biology Processing Group (NASA/G...\n",
-       "    platform:                          PACE\n",
-       "    source:                            satellite observations from OCI-PACE\n",
-       "    ...                                ...\n",
-       "    identifier_product_doi:            10.5067/PACE/OCI/L3M/POC/2.0\n",
-       "    keywords:                          Earth Science &gt; Oceans &gt; Ocean Chemist...\n",
-       "    keywords_vocabulary:               NASA Global Change Master Directory (G...\n",
-       "    data_bins:                         745741\n",
-       "    data_minimum:                      18.199707\n",
-       "    data_maximum:                      1989.1997</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-1761793f-24ba-42d0-bba2-c053d724cd64' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1761793f-24ba-42d0-bba2-c053d724cd64' 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>: 1800</li><li><span class='xr-has-index'>lon</span>: 3600</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-210c0123-4424-478f-9035-edd8dc913b9c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-210c0123-4424-478f-9035-edd8dc913b9c' 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'>89.95 89.85 89.75 ... -89.85 -89.95</div><input id='attrs-cd3842ea-23cf-4830-852c-2b1d976be2cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd3842ea-23cf-4830-852c-2b1d976be2cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97b678c5-2427-42ec-a82c-d315a530775c' class='xr-var-data-in' type='checkbox'><label for='data-97b678c5-2427-42ec-a82c-d315a530775c' 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([ 89.95    ,  89.85    ,  89.75    , ..., -89.75    , -89.850006,\n",
-       "       -89.950005], 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'>-179.9 -179.9 ... 179.9 180.0</div><input id='attrs-8e625b50-8828-46d2-908b-5c7316a80955' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e625b50-8828-46d2-908b-5c7316a80955' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10e4444a-acc6-4aec-97ff-5437e642e015' class='xr-var-data-in' type='checkbox'><label for='data-10e4444a-acc6-4aec-97ff-5437e642e015' 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([-179.95   , -179.85   , -179.75   , ...,  179.75   ,  179.85   ,\n",
-       "        179.95001], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f5e8f9a-1403-4beb-98f5-25347f2841a9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f5e8f9a-1403-4beb-98f5-25347f2841a9' 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>poc</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-0f7a389b-3b20-4cb5-827a-5c927ea6f3cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f7a389b-3b20-4cb5-827a-5c927ea6f3cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-886caf85-5899-430f-95c2-505a71f60a4d' class='xr-var-data-in' type='checkbox'><label for='data-886caf85-5899-430f-95c2-505a71f60a4d' 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>Particulate Organic Carbon, D. Stramski, 2022 (hybrid version)</dd><dt><span>units :</span></dt><dd>mg m^-3</dd><dt><span>valid_min :</span></dt><dd>-32000</dd><dt><span>valid_max :</span></dt><dd>-22000</dd><dt><span>reference :</span></dt><dd>Stramski, D., et al. &quot;Ocean color algorithms to estimate the concentration of particulate organic carbon in surface waters of the global ocean in support of a long-term data record from multiple satellite missions.&quot; Remote Sensing of Environment 269 (2022)</dd><dt><span>display_scale :</span></dt><dd>log</dd><dt><span>display_min :</span></dt><dd>10.0</dd><dt><span>display_max :</span></dt><dd>1000.0</dd></dl></div><div class='xr-var-data'><pre>[6480000 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-569fe723-2696-4eba-bae0-d84f60dd1bd1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-569fe723-2696-4eba-bae0-d84f60dd1bd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a08dc26a-c8a0-431d-be66-3f6b43523ca5' class='xr-var-data-in' type='checkbox'><label for='data-a08dc26a-c8a0-431d-be66-3f6b43523ca5' 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-3383a7f6-38f5-42da-afa1-a022ce3a9df4' class='xr-section-summary-in' type='checkbox'  ><label for='section-3383a7f6-38f5-42da-afa1-a022ce3a9df4' 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-3172cc79-c770-4647-81e2-eda91d2a1055' class='xr-index-data-in' type='checkbox'/><label for='index-3172cc79-c770-4647-81e2-eda91d2a1055' 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([ 89.94999694824219,   89.8499984741211,              89.75,\n",
-       "         89.6500015258789,  89.55000305175781,  89.44999694824219,\n",
-       "         89.3499984741211,              89.25,   89.1500015258789,\n",
-       "        89.05000305175781,\n",
-       "       ...\n",
-       "       -89.05000305175781,  -89.1500015258789,             -89.25,\n",
-       "       -89.35000610351562, -89.45000457763672, -89.55000305175781,\n",
-       "        -89.6500015258789,             -89.75, -89.85000610351562,\n",
-       "       -89.95000457763672],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=1800))</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-1e010fe7-2da3-4554-9f98-d17005f18a59' class='xr-index-data-in' type='checkbox'/><label for='index-1e010fe7-2da3-4554-9f98-d17005f18a59' 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([ -179.9499969482422, -179.85000610351562,             -179.75,\n",
-       "       -179.64999389648438,  -179.5500030517578,  -179.4499969482422,\n",
-       "       -179.35000610351562,             -179.25, -179.14999389648438,\n",
-       "        -179.0500030517578,\n",
-       "       ...\n",
-       "         179.0500030517578,  179.15000915527344,              179.25,\n",
-       "        179.35000610351562,  179.45001220703125,   179.5500030517578,\n",
-       "        179.65000915527344,              179.75,  179.85000610351562,\n",
-       "        179.95001220703125],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=3600))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f958b70-81d7-47dc-913e-a46cf8eac067' class='xr-section-summary-in' type='checkbox'  ><label for='section-7f958b70-81d7-47dc-913e-a46cf8eac067' class='xr-section-summary' >Attributes: <span>(64)</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>PACE_OCI.20240701.L3m.DAY.POC.V2_0.poc.0p1deg.NRT.nc</dd><dt><span>instrument :</span></dt><dd>OCI</dd><dt><span>title :</span></dt><dd>OCI 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>PACE</dd><dt><span>source :</span></dt><dd>satellite observations from OCI-PACE</dd><dt><span>temporal_range :</span></dt><dd>day</dd><dt><span>processing_version :</span></dt><dd>2.0</dd><dt><span>date_created :</span></dt><dd>2024-07-04T20:03:09.000Z</dd><dt><span>history :</span></dt><dd>l3mapgen par=PACE_OCI.20240701.L3m.DAY.POC.V2_0.poc.0p1deg.NRT.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>2024-06-30T23:49:46.000Z</dd><dt><span>time_coverage_end :</span></dt><dd>2024-07-02T01:52:44.000Z</dd><dt><span>start_orbit_number :</span></dt><dd>0</dd><dt><span>end_orbit_number :</span></dt><dd>0</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>0.1</dd><dt><span>longitude_step :</span></dt><dd>0.1</dd><dt><span>sw_point_latitude :</span></dt><dd>-89.95</dd><dt><span>sw_point_longitude :</span></dt><dd>-179.95</dd><dt><span>spatialResolution :</span></dt><dd>11.131949 km</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>11.131949 km</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>11.131949 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>1800</dd><dt><span>number_of_columns :</span></dt><dd>3600</dd><dt><span>measure :</span></dt><dd>Mean</dd><dt><span>suggested_image_scaling_minimum :</span></dt><dd>10.0</dd><dt><span>suggested_image_scaling_maximum :</span></dt><dd>1000.0</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>2024-07-04T20:03:09.000Z</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>2.0/L3/PACE_OCI.20240701.L3b.DAY.POC.V2_0.NRT.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>identifier_product_doi_authority :</span></dt><dd>http://dx.doi.org</dd><dt><span>identifier_product_doi :</span></dt><dd>10.5067/PACE/OCI/L3M/POC/2.0</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Chemistry &gt; Organic Carbon</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>data_bins :</span></dt><dd>745741</dd><dt><span>data_minimum :</span></dt><dd>18.199707</dd><dt><span>data_maximum :</span></dt><dd>1989.1997</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 26MB\n",
-       "Dimensions:  (lat: 1800, lon: 3600, rgb: 3, eightbitcolor: 256)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 7kB 89.95 89.85 89.75 89.65 ... -89.75 -89.85 -89.95\n",
-       "  * lon      (lon) float32 14kB -179.9 -179.9 -179.8 ... 179.8 179.9 180.0\n",
-       "Dimensions without coordinates: rgb, eightbitcolor\n",
-       "Data variables:\n",
-       "    poc      (lat, lon) float32 26MB ...\n",
-       "    palette  (rgb, eightbitcolor) uint8 768B ...\n",
-       "Attributes: (12/64)\n",
-       "    product_name:                      PACE_OCI.20240701.L3m.DAY.POC.V2_0.poc...\n",
-       "    instrument:                        OCI\n",
-       "    title:                             OCI Level-3 Standard Mapped Image\n",
-       "    project:                           Ocean Biology Processing Group (NASA/G...\n",
-       "    platform:                          PACE\n",
-       "    source:                            satellite observations from OCI-PACE\n",
-       "    ...                                ...\n",
-       "    identifier_product_doi:            10.5067/PACE/OCI/L3M/POC/2.0\n",
-       "    keywords:                          Earth Science > Oceans > Ocean Chemist...\n",
-       "    keywords_vocabulary:               NASA Global Change Master Directory (G...\n",
-       "    data_bins:                         745741\n",
-       "    data_minimum:                      18.199707\n",
-       "    data_maximum:                      1989.1997"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dataset = xr.open_dataset(paths[0])\n",
-    "dataset"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "3c92546b-f29a-49c8-a6f5-e12d701cf4da",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "poc = np.array(dataset[\"poc\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "41c65d8f-3258-450b-b634-fb59dca29227",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(1800, 3600)\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(poc.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "7fc0793f-390c-4c45-810b-9d6e6d8db3fe",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "nan\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(poc[1,1])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "93369b99-0ea6-42ed-9e56-915baccf0e85",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "poc_10lat = np.reshape(poc, (180, 10, 3600))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "21a2740c-dfff-4029-abbf-b6ae20ecc7d1",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_1847/4091360230.py:1: RuntimeWarning: Mean of empty slice\n",
-      "  poc_latregrid = np.nanmean(poc_10lat, axis=1)\n"
-     ]
-    }
-   ],
-   "source": [
-    "poc_latregrid = np.nanmean(poc_10lat, axis=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "157fc29f-9830-4923-92c4-b716d7c1b542",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "poc_latregrid_10lon = np.reshape(poc_latregrid, (180, 360, 10))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "115968bd-6bf4-4544-b689-0af4bd28e1f3",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_1847/1374962890.py:1: RuntimeWarning: Mean of empty slice\n",
-      "  poc_latregrid_lonregrid = np.nanmean(poc_latregrid_10lon, axis=2)\n"
-     ]
-    }
-   ],
-   "source": [
-    "poc_latregrid_lonregrid = np.nanmean(poc_latregrid_10lon, axis=2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "4806f2bc-7ba4-488a-b7ef-a4be9c021d13",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(180, 360)\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(poc_latregrid_lonregrid.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "c197ed25-c3f6-4cf5-bb21-82e0c73569f5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "p = plt.plot(poc_latregrid_lonregrid);"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8f3cd51c-0bd2-4b40-a38c-cb6febe0757d",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.14"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}