datasets/gpm-imerg-hhr/gpm-imerg-hhr-example.ipynb

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    "## Accessing GPM-IMERG data with the Planetary Computer STAC API\n",
    "\n",
    "The [Integrated Multi-satellitE Retrievals for GPM (IMERG) dataset](http://planetarycomputer.microsoft.com/dataset/gpm-imerg) combines information from the [GPM satellite constellation](https://gpm.nasa.gov/missions/gpm/constellation) to estimate precipitation over the majority of the Earth's surface. This algorithm is particularly valuable over the majority of the Earth's surface that lacks precipitation-measuring instruments on the ground. Now in the latest Version 06 release of IMERG the algorithm fuses the early precipitation estimates collected during the operation of the TRMM satellite (2000 - 2015) with more recent precipitation estimates collected during operation of the GPM satellite (2014 - present). The longer the record, the more valuable it is, as researchers and application developers will attest. By being able to compare and contrast past and present data, researchers are better informed to make climate and weather models more accurate, better understand normal and extreme rain and snowfall around the world, and strengthen applications for current and future disasters, disease, resource management, energy production and food security.\n",
    "\n",
    "For more, see the [IMERG homepage](https://gpm.nasa.gov/data/imerg).\n",
    "\n",
    "### Data Access\n",
    "\n",
    "The datasets hosted by the Planetary Computer are available from [Azure Blob Storage](https://docs.microsoft.com/en-us/azure/storage/blobs/). We'll use [pystac-client](https://pystac-client.readthedocs.io/) to search the Planetary Computer's [STAC API](https://planetarycomputer.microsoft.com/api/stac/v1/docs) for the subset of the data that we care about, and then we'll load the data directly from Azure Blob Storage. We'll specify a `modifier` so that we can access the data stored in the Planetary Computer's private Blob Storage Containers. See [Reading from the STAC API](https://planetarycomputer.microsoft.com/docs/quickstarts/reading-stac/) and [Using tokens for data access](https://planetarycomputer.microsoft.com/docs/concepts/sas/) for more.\n",
    "\n",
    "IMERG data are provided in [Zarr](https://zarr.readthedocs.io/) format, and cover June 2000 – May 2021."
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    "import xarray as xr\n",
    "import pystac_client\n",
    "import fsspec\n",
    "import planetary_computer\n",
    "\n",
    "catalog = pystac_client.Client.open(\n",
    "    \"https://planetarycomputer.microsoft.com/api/stac/v1\",\n",
    "    modifier=planetary_computer.sign_inplace,\n",
    ")"
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    "This collection has a single asset, which links to the Zarr store in Azure Blob Storage."
   ]
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   "source": [
    "asset = catalog.get_collection(\"gpm-imerg-hhr\").assets[\"zarr-abfs\"]"
   ]
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                         (time: 368160, lon: 3600, lat: 1800,\n",
       "                                     latv: 2, lonv: 2, nv: 2)\n",
       "Coordinates:\n",
       "  * lat                             (lat) float32 -89.95 -89.85 ... 89.85 89.95\n",
       "    lat_bnds                        (lat, latv) float32 dask.array&lt;chunksize=(1800, 2), meta=np.ndarray&gt;\n",
       "  * lon                             (lon) float32 -179.9 -179.9 ... 179.9 179.9\n",
       "    lon_bnds                        (lon, lonv) float32 dask.array&lt;chunksize=(3600, 2), meta=np.ndarray&gt;\n",
       "  * time                            (time) object 2000-06-01 00:00:00 ... 202...\n",
       "    time_bnds                       (time, nv) object dask.array&lt;chunksize=(12, 2), meta=np.ndarray&gt;\n",
       "Dimensions without coordinates: latv, lonv, nv\n",
       "Data variables:\n",
       "    HQobservationTime               (time, lon, lat) timedelta64[ns] dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    HQprecipSource                  (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    HQprecipitation                 (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    IRkalmanFilterWeight            (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    IRprecipitation                 (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    precipitationCal                (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    precipitationQualityIndex       (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    precipitationUncal              (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    probabilityLiquidPrecipitation  (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    randomError                     (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    GridHeader:  BinMethod=ARITHMETIC_MEAN;\\nRegistration=CENTER;\\nLatitudeRe...</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-09fb9630-b81e-4fec-abf7-892f3f5e1536' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-09fb9630-b81e-4fec-abf7-892f3f5e1536' 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'>time</span>: 368160</li><li><span class='xr-has-index'>lon</span>: 3600</li><li><span class='xr-has-index'>lat</span>: 1800</li><li><span>latv</span>: 2</li><li><span>lonv</span>: 2</li><li><span>nv</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-afa2e84a-2450-41a0-be47-c97945b28b54' class='xr-section-summary-in' type='checkbox'  checked><label for='section-afa2e84a-2450-41a0-be47-c97945b28b54' class='xr-section-summary' >Coordinates: <span>(6)</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 ... 89.85 89.95</div><input id='attrs-61d07024-8710-4809-8e3e-35c9289235e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61d07024-8710-4809-8e3e-35c9289235e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-006b24ba-6e25-4f8e-a5f6-ea8a84d8530e' class='xr-var-data-in' type='checkbox'><label for='data-006b24ba-6e25-4f8e-a5f6-ea8a84d8530e' 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>DimensionNames :</span></dt><dd>lat</dd><dt><span>LongName :</span></dt><dd>Latitude at the center of\n",
       "\t\t\t0.10 degree grid intervals of latitude\n",
       "\t\t\tfrom -90 to 90.</dd><dt><span>Units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-89.95, -89.85, -89.75, ...,  89.75,  89.85,  89.95], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, latv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1800, 2), meta=np.ndarray&gt;</div><input id='attrs-37906b4a-e858-4d33-8dd9-21f59bf42171' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37906b4a-e858-4d33-8dd9-21f59bf42171' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab535b90-6baf-4e0b-bd29-59d9933feb24' class='xr-var-data-in' type='checkbox'><label for='data-ab535b90-6baf-4e0b-bd29-59d9933feb24' 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>DimensionNames :</span></dt><dd>lat,latv</dd><dt><span>Units :</span></dt><dd>degrees_north</dd><dt><span>coordinates :</span></dt><dd>lat latv</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 14.06 kiB </td>\n",
       "                        <td> 14.06 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1800, 2) </td>\n",
       "                        <td> (1800, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">1800</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></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 ... 179.9 179.9</div><input id='attrs-905781eb-0f87-47fe-8a99-81e5e248d0bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-905781eb-0f87-47fe-8a99-81e5e248d0bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-574706e8-edb3-470a-8ee1-002ef319b72b' class='xr-var-data-in' type='checkbox'><label for='data-574706e8-edb3-470a-8ee1-002ef319b72b' 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>DimensionNames :</span></dt><dd>lon</dd><dt><span>LongName :</span></dt><dd>Longitude at the center of\n",
       "\t\t\t0.10 degree grid intervals of longitude \n",
       "\t\t\tfrom -180 to 180.</dd><dt><span>Units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-179.95, -179.85, -179.75, ...,  179.75,  179.85,  179.95],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, lonv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3600, 2), meta=np.ndarray&gt;</div><input id='attrs-8b3750bf-54a1-4974-9651-4014b502abc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b3750bf-54a1-4974-9651-4014b502abc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-107a0287-5143-4764-95bb-b75013abf8df' class='xr-var-data-in' type='checkbox'><label for='data-107a0287-5143-4764-95bb-b75013abf8df' 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>DimensionNames :</span></dt><dd>lon,lonv</dd><dt><span>Units :</span></dt><dd>degrees_east</dd><dt><span>coordinates :</span></dt><dd>lon lonv</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 28.12 kiB </td>\n",
       "                        <td> 28.12 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3600, 2) </td>\n",
       "                        <td> (3600, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">3600</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-06-01 00:00:00 ... 2021-05-...</div><input id='attrs-958be9e4-4911-4f22-8743-029cdf5e9315' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-958be9e4-4911-4f22-8743-029cdf5e9315' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5141e713-5375-438b-bd9d-30d979b5d6a0' class='xr-var-data-in' type='checkbox'><label for='data-5141e713-5375-438b-bd9d-30d979b5d6a0' 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>DimensionNames :</span></dt><dd>time</dd><dt><span>LongName :</span></dt><dd>Representative time of data in \n",
       "\t\t\tseconds since 1970-01-01 00:00:00 UTC.</dd><dt><span>Units :</span></dt><dd>seconds since 1970-01-01 00:00:00 UTC</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeJulian(2000, 6, 1, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(2000, 6, 1, 0, 30, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(2000, 6, 1, 1, 0, 0, 0, has_year_zero=False), ...,\n",
       "       cftime.DatetimeJulian(2021, 5, 31, 22, 30, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(2021, 5, 31, 23, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(2021, 5, 31, 23, 30, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 2), meta=np.ndarray&gt;</div><input id='attrs-6cce04ec-6482-417c-82b6-daca21f18f8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cce04ec-6482-417c-82b6-daca21f18f8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efc72b51-633e-4fa7-a026-88b9e90ac4e7' class='xr-var-data-in' type='checkbox'><label for='data-efc72b51-633e-4fa7-a026-88b9e90ac4e7' 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>DimensionNames :</span></dt><dd>time,nv</dd><dt><span>Units :</span></dt><dd>seconds since 1970-01-01 00:00:00 UTC</dd><dt><span>coordinates :</span></dt><dd>time nv</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.62 MiB </td>\n",
       "                        <td> 192 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (368160, 2) </td>\n",
       "                        <td> (12, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 30681 Tasks </td>\n",
       "                        <td> 30680 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> object </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"0\" y1=\"94\" x2=\"25\" y2=\"94\" />\n",
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       "  <line x1=\"0\" y1=\"107\" x2=\"25\" y2=\"107\" />\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "\n",
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       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">368160</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-79d62afc-2b59-4d94-921c-5911825e1401' class='xr-section-summary-in' type='checkbox'  checked><label for='section-79d62afc-2b59-4d94-921c-5911825e1401' class='xr-section-summary' >Data variables: <span>(10)</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>HQobservationTime</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-2118a5b2-ab4d-4e76-a580-42adf0186bbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2118a5b2-ab4d-4e76-a580-42adf0186bbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e5d5cfa-208d-42a7-8d35-3e21fd099d3c' class='xr-var-data-in' type='checkbox'><label for='data-4e5d5cfa-208d-42a7-8d35-3e21fd099d3c' 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>CodeMissingValue :</span></dt><dd>-9999</dd><dt><span>DimensionNames :</span></dt><dd>time,lon,lat</dd><dt><span>Units :</span></dt><dd>minutes</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 17.36 TiB </td>\n",
       "                        <td> 593.26 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (368160, 3600, 1800) </td>\n",
       "                        <td> (12, 3600, 1800) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 30681 Tasks </td>\n",
       "                        <td> 30680 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> timedelta64[ns] </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitationCal</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-45d8272a-82fb-41e2-b6d0-2550cf5be51d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45d8272a-82fb-41e2-b6d0-2550cf5be51d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49bd516b-090d-48cb-98a8-aafa3a51205f' class='xr-var-data-in' type='checkbox'><label for='data-49bd516b-090d-48cb-98a8-aafa3a51205f' 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>CodeMissingValue :</span></dt><dd>-9999.9</dd><dt><span>DimensionNames :</span></dt><dd>time,lon,lat</dd><dt><span>Units :</span></dt><dd>mm/hr</dd><dt><span>units :</span></dt><dd>mm/hr</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
       "                        <td> 296.63 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (368160, 3600, 1800) </td>\n",
       "                        <td> (12, 3600, 1800) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 30681 Tasks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitationUncal</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-e8b7df4c-1ce7-450f-9b32-2d0fd8970a93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8b7df4c-1ce7-450f-9b32-2d0fd8970a93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f4ebb1a-e1ed-4562-b7a4-958e9899ca45' class='xr-var-data-in' type='checkbox'><label for='data-0f4ebb1a-e1ed-4562-b7a4-958e9899ca45' 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>CodeMissingValue :</span></dt><dd>-9999.9</dd><dt><span>DimensionNames :</span></dt><dd>time,lon,lat</dd><dt><span>Units :</span></dt><dd>mm/hr</dd><dt><span>units :</span></dt><dd>mm/hr</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
       "            <table>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
       "                        <td> 296.63 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (368160, 3600, 1800) </td>\n",
       "                        <td> (12, 3600, 1800) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 30681 Tasks </td>\n",
       "                        <td> 30680 Chunks </td>\n",
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       "                    <th> Type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>probabilityLiquidPrecipitation</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-ef6fc20d-bf9b-439d-931d-944ac3ebb8f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef6fc20d-bf9b-439d-931d-944ac3ebb8f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1209145-77c8-4af2-9c69-d12febfb803c' class='xr-var-data-in' type='checkbox'><label for='data-c1209145-77c8-4af2-9c69-d12febfb803c' 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>CodeMissingValue :</span></dt><dd>-9999</dd><dt><span>DimensionNames :</span></dt><dd>time,lon,lat</dd><dt><span>Units :</span></dt><dd>percent</dd><dt><span>units :</span></dt><dd>percent</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
       "                        <td> 296.63 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (368160, 3600, 1800) </td>\n",
       "                        <td> (12, 3600, 1800) </td>\n",
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       "                    <tr>\n",
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       "                        <td> 30680 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
       "                        <td> 296.63 MiB </td>\n",
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       "Registration=CENTER;\n",
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      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                         (time: 368160, lon: 3600, lat: 1800,\n",
       "                                     latv: 2, lonv: 2, nv: 2)\n",
       "Coordinates:\n",
       "  * lat                             (lat) float32 -89.95 -89.85 ... 89.85 89.95\n",
       "    lat_bnds                        (lat, latv) float32 dask.array<chunksize=(1800, 2), meta=np.ndarray>\n",
       "  * lon                             (lon) float32 -179.9 -179.9 ... 179.9 179.9\n",
       "    lon_bnds                        (lon, lonv) float32 dask.array<chunksize=(3600, 2), meta=np.ndarray>\n",
       "  * time                            (time) object 2000-06-01 00:00:00 ... 202...\n",
       "    time_bnds                       (time, nv) object dask.array<chunksize=(12, 2), meta=np.ndarray>\n",
       "Dimensions without coordinates: latv, lonv, nv\n",
       "Data variables:\n",
       "    HQobservationTime               (time, lon, lat) timedelta64[ns] dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    HQprecipSource                  (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    HQprecipitation                 (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    IRkalmanFilterWeight            (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    IRprecipitation                 (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    precipitationCal                (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    precipitationQualityIndex       (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    precipitationUncal              (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    probabilityLiquidPrecipitation  (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    randomError                     (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "Attributes:\n",
       "    GridHeader:  BinMethod=ARITHMETIC_MEAN;\\nRegistration=CENTER;\\nLatitudeRe..."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fs = fsspec.get_mapper(asset.href, **asset.extra_fields[\"xarray:storage_options\"])\n",
    "ds = xr.open_zarr(fs, **asset.extra_fields[\"xarray:open_kwargs\"])\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "630f2188-52da-42ba-ab61-b8228fb68480",
   "metadata": {},
   "source": [
    "This dataset includes timeseries for a handful of variables. We'll select one day's worth of data for `precipitationCal`, which contains the Multi-satellite precipitation estimate with gauge calibration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e298249e-87c1-4ead-aefc-66e3a4b79a78",
   "metadata": {},
   "outputs": [],
   "source": [
    "day = ds.precipitationCal.sel(time=\"2015-01-01\").compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "538a1d82-c240-4da5-9f28-51ed79e6fff0",
   "metadata": {},
   "source": [
    "We can plot the precipitation at a single timestamp using matplotlib."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bda34b0c-c2b7-46d6-848b-fa206c1d4bee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img src=\"https://ai4edatasetspublicassets.blob.core.windows.net/assets/notebook-output/datasets-gpm-imerg-hhr-gpm-imerg-hhr-example.ipynb/5.png\"/>"
      ],
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "plt.style.use([\"dark_background\", \"fast\"])\n",
    "\n",
    "fig = plt.figure(figsize=(16, 9))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "im = day[0].T.plot(\n",
    "    ax=ax,\n",
    "    add_colorbar=False,\n",
    "    add_labels=False,\n",
    "    transform=ccrs.PlateCarree(),\n",
    "    cmap=\"CMRmap\",\n",
    "    vmax=2,\n",
    "    vmin=0,\n",
    ")\n",
    "\n",
    "ax.coastlines(color=\"purple\", alpha=0.8, linewidth=0.6)\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6ce2caf-ca7e-4de9-8810-618e982d7c7f",
   "metadata": {},
   "source": [
    "This can be turned into an animation with the following snippet.\n",
    "\n",
    "```python\n",
    "import matplotlib.animation\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "def animate(i):\n",
    "    arr = day[i].T.data.ravel()\n",
    "    arr2 = np.ma.masked_array(arr, mask=np.isnan(arr))\n",
    "    im.set_array(arr2)\n",
    "    return (im,)\n",
    "\n",
    "ani = matplotlib.animation.FuncAnimation(fig, animate, frames=10)  # frames=len(day) to make it longer\n",
    "ani.save(\n",
    "    \"imerg.mp4\",\n",
    "    fps=15,\n",
    "    extra_args=[\"-vcodec\", \"libx264\"],\n",
    "    savefig_kwargs=dict(pad_inches=0, transparent=False),\n",
    ");\n",
    "\n",
    "from IPython.display import Video\n",
    "\n",
    "Video(\"imerg.mp4\", html_attributes=\"controls loop autoplay\")\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca410c3e-c213-43bd-9b88-824467285e49",
   "metadata": {},
   "source": [
    "Here's a similar animation for a month's worth of data:\n",
    "\n",
    "<video controls width=\"80%\" src=\"https://ai4edatasetspublicassets.blob.core.windows.net/assets/pc_video/pc-examples-imerg-long.webm\">\n",
    "</video>"
   ]
  }
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