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leap-demo.ipynb
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{
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"id": "402f419c-aa86-455d-81fd-c6153ccb6682",
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"source": [
"import xarray as xr\n",
"import ndpyramid\n",
"import upath\n",
"import ipywidgets"
]
},
{
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"execution_count": 2,
"id": "f76c05a6-bbe5-4a9e-b1e4-22eb520c726d",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (lat: 600, lon: 1440, time: 73)\n",
"Coordinates:\n",
" * lat (lat) float64 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n",
" * lon (lon) float64 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
" * time (time) datetime64[ns] 1950-01-01T12:00:00 ... 1951-12-22T12:00:00\n",
"Data variables:\n",
" tasmax (time, lat, lon) float32 dask.array&lt;chunksize=(1, 600, 1440), meta=np.ndarray&gt;\n",
"Attributes: (12/19)\n",
" Conventions: CF-1.7\n",
" activity: NEX-GDDP-CMIP6\n",
" cmip6_institution_id: CSIRO-ARCCSS\n",
" cmip6_license: CC-BY-SA 4.0\n",
" cmip6_source_id: ACCESS-CM2\n",
" contact: Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget...\n",
" ... ...\n",
" resolution_id: 0.25 degree\n",
" scenario: historical\n",
" source: BCSD\n",
" title: ACCESS-CM2, r1i1p1f1, historical, global downscale...\n",
" variant_label: r1i1p1f1\n",
" version: 1.0</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-b4b9ac2e-5177-4404-8cae-e417d37565fd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b4b9ac2e-5177-4404-8cae-e417d37565fd' 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>: 600</li><li><span class='xr-has-index'>lon</span>: 1440</li><li><span class='xr-has-index'>time</span>: 73</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ea73b458-4550-47bb-ac88-0629d992134b' class='xr-section-summary-in' type='checkbox' checked><label for='section-ea73b458-4550-47bb-ac88-0629d992134b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-59.88 -59.62 ... 89.62 89.88</div><input id='attrs-c231cfd5-a317-407b-afda-2a93136db6a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c231cfd5-a317-407b-afda-2a93136db6a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27b52655-b6ce-4168-95b6-485277f83514' class='xr-var-data-in' type='checkbox'><label for='data-27b52655-b6ce-4168-95b6-485277f83514' 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>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</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([-59.875, -59.625, -59.375, ..., 89.375, 89.625, 89.875])</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'>float64</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-5942343c-e76d-49c2-aaf5-9853ded215c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5942343c-e76d-49c2-aaf5-9853ded215c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a87862ee-bdf7-420f-bdf8-253c865e8b3d' class='xr-var-data-in' type='checkbox'><label for='data-a87862ee-bdf7-420f-bdf8-253c865e8b3d' 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>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</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([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n",
" 3.59875e+02])</pre></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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1950-01-01T12:00:00 ... 1951-12-...</div><input id='attrs-b1d7f2a1-d1d0-45ff-98a9-b9e94ad9b119' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1d7f2a1-d1d0-45ff-98a9-b9e94ad9b119' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adf0b2a8-18dc-4b4e-ba99-cd60d37b0d9b' class='xr-var-data-in' type='checkbox'><label for='data-adf0b2a8-18dc-4b4e-ba99-cd60d37b0d9b' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1950-01-01T12:00:00.000000000&#x27;, &#x27;1950-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;1950-01-21T12:00:00.000000000&#x27;, &#x27;1950-01-31T12:00:00.000000000&#x27;,\n",
" &#x27;1950-02-10T12:00:00.000000000&#x27;, &#x27;1950-02-20T12:00:00.000000000&#x27;,\n",
" &#x27;1950-03-02T12:00:00.000000000&#x27;, &#x27;1950-03-12T12:00:00.000000000&#x27;,\n",
" &#x27;1950-03-22T12:00:00.000000000&#x27;, &#x27;1950-04-01T12:00:00.000000000&#x27;,\n",
" &#x27;1950-04-11T12:00:00.000000000&#x27;, &#x27;1950-04-21T12:00:00.000000000&#x27;,\n",
" &#x27;1950-05-01T12:00:00.000000000&#x27;, &#x27;1950-05-11T12:00:00.000000000&#x27;,\n",
" &#x27;1950-05-21T12:00:00.000000000&#x27;, &#x27;1950-05-31T12:00:00.000000000&#x27;,\n",
" &#x27;1950-06-10T12:00:00.000000000&#x27;, &#x27;1950-06-20T12:00:00.000000000&#x27;,\n",
" &#x27;1950-06-30T12:00:00.000000000&#x27;, &#x27;1950-07-10T12:00:00.000000000&#x27;,\n",
" &#x27;1950-07-20T12:00:00.000000000&#x27;, &#x27;1950-07-30T12:00:00.000000000&#x27;,\n",
" &#x27;1950-08-09T12:00:00.000000000&#x27;, &#x27;1950-08-19T12:00:00.000000000&#x27;,\n",
" &#x27;1950-08-29T12:00:00.000000000&#x27;, &#x27;1950-09-08T12:00:00.000000000&#x27;,\n",
" &#x27;1950-09-18T12:00:00.000000000&#x27;, &#x27;1950-09-28T12:00:00.000000000&#x27;,\n",
" &#x27;1950-10-08T12:00:00.000000000&#x27;, &#x27;1950-10-18T12:00:00.000000000&#x27;,\n",
" &#x27;1950-10-28T12:00:00.000000000&#x27;, &#x27;1950-11-07T12:00:00.000000000&#x27;,\n",
" &#x27;1950-11-17T12:00:00.000000000&#x27;, &#x27;1950-11-27T12:00:00.000000000&#x27;,\n",
" &#x27;1950-12-07T12:00:00.000000000&#x27;, &#x27;1950-12-17T12:00:00.000000000&#x27;,\n",
" &#x27;1950-12-27T12:00:00.000000000&#x27;, &#x27;1951-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;1951-01-16T12:00:00.000000000&#x27;, &#x27;1951-01-26T12:00:00.000000000&#x27;,\n",
" &#x27;1951-02-05T12:00:00.000000000&#x27;, &#x27;1951-02-15T12:00:00.000000000&#x27;,\n",
" &#x27;1951-02-25T12:00:00.000000000&#x27;, &#x27;1951-03-07T12:00:00.000000000&#x27;,\n",
" &#x27;1951-03-17T12:00:00.000000000&#x27;, &#x27;1951-03-27T12:00:00.000000000&#x27;,\n",
" &#x27;1951-04-06T12:00:00.000000000&#x27;, &#x27;1951-04-16T12:00:00.000000000&#x27;,\n",
" &#x27;1951-04-26T12:00:00.000000000&#x27;, &#x27;1951-05-06T12:00:00.000000000&#x27;,\n",
" &#x27;1951-05-16T12:00:00.000000000&#x27;, &#x27;1951-05-26T12:00:00.000000000&#x27;,\n",
" &#x27;1951-06-05T12:00:00.000000000&#x27;, &#x27;1951-06-15T12:00:00.000000000&#x27;,\n",
" &#x27;1951-06-25T12:00:00.000000000&#x27;, &#x27;1951-07-05T12:00:00.000000000&#x27;,\n",
" &#x27;1951-07-15T12:00:00.000000000&#x27;, &#x27;1951-07-25T12:00:00.000000000&#x27;,\n",
" &#x27;1951-08-04T12:00:00.000000000&#x27;, &#x27;1951-08-14T12:00:00.000000000&#x27;,\n",
" &#x27;1951-08-24T12:00:00.000000000&#x27;, &#x27;1951-09-03T12:00:00.000000000&#x27;,\n",
" &#x27;1951-09-13T12:00:00.000000000&#x27;, &#x27;1951-09-23T12:00:00.000000000&#x27;,\n",
" &#x27;1951-10-03T12:00:00.000000000&#x27;, &#x27;1951-10-13T12:00:00.000000000&#x27;,\n",
" &#x27;1951-10-23T12:00:00.000000000&#x27;, &#x27;1951-11-02T12:00:00.000000000&#x27;,\n",
" &#x27;1951-11-12T12:00:00.000000000&#x27;, &#x27;1951-11-22T12:00:00.000000000&#x27;,\n",
" &#x27;1951-12-02T12:00:00.000000000&#x27;, &#x27;1951-12-12T12:00:00.000000000&#x27;,\n",
" &#x27;1951-12-22T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dcacad63-c9ba-4bb6-9c42-1e254b5e4681' class='xr-section-summary-in' type='checkbox' checked><label for='section-dcacad63-c9ba-4bb6-9c42-1e254b5e4681' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tasmax</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 600, 1440), meta=np.ndarray&gt;</div><input id='attrs-0bb8e09f-f59d-4b11-8089-e36d23b47969' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bb8e09f-f59d-4b11-8089-e36d23b47969' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f273d19d-f8ae-4e2a-82e6-81709ef6978e' class='xr-var-data-in' type='checkbox'><label for='data-f273d19d-f8ae-4e2a-82e6-81709ef6978e' 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>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: maximum</dd><dt><span>comment :</span></dt><dd>maximum near-surface (usually, 2 meter) air temperature (add cell_method attribute &#x27;time: max&#x27;)</dd><dt><span>long_name :</span></dt><dd>Daily Maximum Near-Surface Air Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\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> 240.60 MiB </td>\n",
" <td> 3.30 MiB </td>\n",
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" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (73, 600, 1440) </td>\n",
" <td> (1, 600, 1440) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 73 chunks in 2 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"200\" height=\"120\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
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"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-6fd6cb79-c22c-4adb-b6a8-8c8cb40861c4' class='xr-section-summary-in' type='checkbox' ><label for='section-6fd6cb79-c22c-4adb-b6a8-8c8cb40861c4' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3fa0f5d6-568f-41f9-8f8f-924355667018' class='xr-index-data-in' type='checkbox'/><label for='index-3fa0f5d6-568f-41f9-8f8f-924355667018' 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([-59.875, -59.625, -59.375, -59.125, -58.875, -58.625, -58.375, -58.125,\n",
" -57.875, -57.625,\n",
" ...\n",
" 87.625, 87.875, 88.125, 88.375, 88.625, 88.875, 89.125, 89.375,\n",
" 89.625, 89.875],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=600))</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-1c2a7200-b6e6-4173-baed-2cb1f55d32ff' class='xr-index-data-in' type='checkbox'/><label for='index-1c2a7200-b6e6-4173-baed-2cb1f55d32ff' 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([ 0.125, 0.375, 0.625, 0.875, 1.125, 1.375, 1.625, 1.875,\n",
" 2.125, 2.375,\n",
" ...\n",
" 357.625, 357.875, 358.125, 358.375, 358.625, 358.875, 359.125, 359.375,\n",
" 359.625, 359.875],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6ce176f1-8aa4-4369-ba7e-a23b34c8202e' class='xr-index-data-in' type='checkbox'/><label for='index-6ce176f1-8aa4-4369-ba7e-a23b34c8202e' 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(DatetimeIndex([&#x27;1950-01-01 12:00:00&#x27;, &#x27;1950-01-11 12:00:00&#x27;,\n",
" &#x27;1950-01-21 12:00:00&#x27;, &#x27;1950-01-31 12:00:00&#x27;,\n",
" &#x27;1950-02-10 12:00:00&#x27;, &#x27;1950-02-20 12:00:00&#x27;,\n",
" &#x27;1950-03-02 12:00:00&#x27;, &#x27;1950-03-12 12:00:00&#x27;,\n",
" &#x27;1950-03-22 12:00:00&#x27;, &#x27;1950-04-01 12:00:00&#x27;,\n",
" &#x27;1950-04-11 12:00:00&#x27;, &#x27;1950-04-21 12:00:00&#x27;,\n",
" &#x27;1950-05-01 12:00:00&#x27;, &#x27;1950-05-11 12:00:00&#x27;,\n",
" &#x27;1950-05-21 12:00:00&#x27;, &#x27;1950-05-31 12:00:00&#x27;,\n",
" &#x27;1950-06-10 12:00:00&#x27;, &#x27;1950-06-20 12:00:00&#x27;,\n",
" &#x27;1950-06-30 12:00:00&#x27;, &#x27;1950-07-10 12:00:00&#x27;,\n",
" &#x27;1950-07-20 12:00:00&#x27;, &#x27;1950-07-30 12:00:00&#x27;,\n",
" &#x27;1950-08-09 12:00:00&#x27;, &#x27;1950-08-19 12:00:00&#x27;,\n",
" &#x27;1950-08-29 12:00:00&#x27;, &#x27;1950-09-08 12:00:00&#x27;,\n",
" &#x27;1950-09-18 12:00:00&#x27;, &#x27;1950-09-28 12:00:00&#x27;,\n",
" &#x27;1950-10-08 12:00:00&#x27;, &#x27;1950-10-18 12:00:00&#x27;,\n",
" &#x27;1950-10-28 12:00:00&#x27;, &#x27;1950-11-07 12:00:00&#x27;,\n",
" &#x27;1950-11-17 12:00:00&#x27;, &#x27;1950-11-27 12:00:00&#x27;,\n",
" &#x27;1950-12-07 12:00:00&#x27;, &#x27;1950-12-17 12:00:00&#x27;,\n",
" &#x27;1950-12-27 12:00:00&#x27;, &#x27;1951-01-06 12:00:00&#x27;,\n",
" &#x27;1951-01-16 12:00:00&#x27;, &#x27;1951-01-26 12:00:00&#x27;,\n",
" &#x27;1951-02-05 12:00:00&#x27;, &#x27;1951-02-15 12:00:00&#x27;,\n",
" &#x27;1951-02-25 12:00:00&#x27;, &#x27;1951-03-07 12:00:00&#x27;,\n",
" &#x27;1951-03-17 12:00:00&#x27;, &#x27;1951-03-27 12:00:00&#x27;,\n",
" &#x27;1951-04-06 12:00:00&#x27;, &#x27;1951-04-16 12:00:00&#x27;,\n",
" &#x27;1951-04-26 12:00:00&#x27;, &#x27;1951-05-06 12:00:00&#x27;,\n",
" &#x27;1951-05-16 12:00:00&#x27;, &#x27;1951-05-26 12:00:00&#x27;,\n",
" &#x27;1951-06-05 12:00:00&#x27;, &#x27;1951-06-15 12:00:00&#x27;,\n",
" &#x27;1951-06-25 12:00:00&#x27;, &#x27;1951-07-05 12:00:00&#x27;,\n",
" &#x27;1951-07-15 12:00:00&#x27;, &#x27;1951-07-25 12:00:00&#x27;,\n",
" &#x27;1951-08-04 12:00:00&#x27;, &#x27;1951-08-14 12:00:00&#x27;,\n",
" &#x27;1951-08-24 12:00:00&#x27;, &#x27;1951-09-03 12:00:00&#x27;,\n",
" &#x27;1951-09-13 12:00:00&#x27;, &#x27;1951-09-23 12:00:00&#x27;,\n",
" &#x27;1951-10-03 12:00:00&#x27;, &#x27;1951-10-13 12:00:00&#x27;,\n",
" &#x27;1951-10-23 12:00:00&#x27;, &#x27;1951-11-02 12:00:00&#x27;,\n",
" &#x27;1951-11-12 12:00:00&#x27;, &#x27;1951-11-22 12:00:00&#x27;,\n",
" &#x27;1951-12-02 12:00:00&#x27;, &#x27;1951-12-12 12:00:00&#x27;,\n",
" &#x27;1951-12-22 12:00:00&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d902a19-8ec1-49d4-9cf1-61b39a3369fb' class='xr-section-summary-in' type='checkbox' ><label for='section-0d902a19-8ec1-49d4-9cf1-61b39a3369fb' class='xr-section-summary' >Attributes: <span>(19)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>activity :</span></dt><dd>NEX-GDDP-CMIP6</dd><dt><span>cmip6_institution_id :</span></dt><dd>CSIRO-ARCCSS</dd><dt><span>cmip6_license :</span></dt><dd>CC-BY-SA 4.0</dd><dt><span>cmip6_source_id :</span></dt><dd>ACCESS-CM2</dd><dt><span>contact :</span></dt><dd>Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget Thrasher: bridget@climateanalyticsgroup.org</dd><dt><span>disclaimer :</span></dt><dd>This data is considered provisional and subject to change. This data is provided as is without any warranty of any kind, either express or implied, arising by law or otherwise, including but not limited to warranties of completeness, non-infringement, accuracy, merchantability, or fitness for a particular purpose. The user assumes all risk associated with the use of, or inability to use, this data.</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>institution :</span></dt><dd>NASA Earth Exchange, NASA Ames Research Center, Moffett Field, CA 94035</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>BCSD method: Thrasher et al., 2012, Hydrol. Earth Syst. Sci.,16, 3309-3314. Ref period obs: latest version of the Princeton Global Meteorological Forcings (http://hydrology.princeton.edu/data.php), based on Sheffield et al., 2006, J. Climate, 19 (13), 3088-3111.</dd><dt><span>resolution_id :</span></dt><dd>0.25 degree</dd><dt><span>scenario :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>BCSD</dd><dt><span>title :</span></dt><dd>ACCESS-CM2, r1i1p1f1, historical, global downscaled CMIP6 climate projection data</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>version :</span></dt><dd>1.0</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (lat: 600, lon: 1440, time: 73)\n",
"Coordinates:\n",
" * lat (lat) float64 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n",
" * lon (lon) float64 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
" * time (time) datetime64[ns] 1950-01-01T12:00:00 ... 1951-12-22T12:00:00\n",
"Data variables:\n",
" tasmax (time, lat, lon) float32 dask.array<chunksize=(1, 600, 1440), meta=np.ndarray>\n",
"Attributes: (12/19)\n",
" Conventions: CF-1.7\n",
" activity: NEX-GDDP-CMIP6\n",
" cmip6_institution_id: CSIRO-ARCCSS\n",
" cmip6_license: CC-BY-SA 4.0\n",
" cmip6_source_id: ACCESS-CM2\n",
" contact: Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget...\n",
" ... ...\n",
" resolution_id: 0.25 degree\n",
" scenario: historical\n",
" source: BCSD\n",
" title: ACCESS-CM2, r1i1p1f1, historical, global downscale...\n",
" variant_label: r1i1p1f1\n",
" version: 1.0"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"path = \"s3://carbonplan-data-viewer/demo/leap-10-2023/tasmax_day_ACCESS-CM2_historical_r1i1p1f1_gn.zarr\"\n",
"ds = xr.open_dataset(path, engine='zarr', chunks={})\n",
"ds"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "513e7fed-88c5-4d27-83bd-888b7c7eab1f",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x300 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ds.tasmax.isel(time=range(3)).plot(col='time', robust=True);"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "0081a322-b281-47f5-a646-4215cb9c3743",
"metadata": {},
"outputs": [],
"source": [
"def make_pyramids(*, ds, levels:int=3, projection:str) -> str:\n",
" projections = {'mercator': 'web-mercator', 'equirectangular': 'equidistant-cylindrical'}\n",
" path = f\"s3://carbonplan-data-viewer/demo/leap-10-2023/{projection}_{levels}_pyramid_tasmax_day_ACCESS-CM2_historical_r1i1p1f1_gn.zarr\"\n",
" if not upath.UPath(path).exists():\n",
" dt = ndpyramid.pyramid_regrid(ds=ds, levels=levels, projection=projections[projection])\n",
" dt.to_zarr(path, consolidated=True, mode='w')\n",
" time = xr.conventions.encode_cf_variable(dt['0'].time).data.tolist()\n",
" else:\n",
" dt = datatree.open_datatree(path, engine='zarr', chunks={}, decode_times=False)\n",
" time = dt['0'].time.data.tolist()\n",
" print(path)\n",
" source = f\"https://carbonplan-data-viewer.s3.amazonaws.com/demo/leap-10-2023/{projection}_{levels}_pyramid_tasmax_day_ACCESS-CM2_historical_r1i1p1f1_gn.zarr\"\n",
" dims = ds.tasmax.dims\n",
" variable = \"tasmax\"\n",
" return {\"source\" : source, \"dimensions\" : dims, \"variable\" : variable, 'time': time, 'projection': projection}"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "e7bd7bff-19c7-4521-b2e1-0c16eab88c91",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"s3://carbonplan-data-viewer/demo/leap-10-2023/mercator_3_pyramid_tasmax_day_ACCESS-CM2_historical_r1i1p1f1_gn.zarr\n",
"CPU times: user 6min 36s, sys: 7min 4s, total: 13min 41s\n",
"Wall time: 11min 47s\n"
]
},
{
"data": {
"text/plain": [
"{'source': 'https://carbonplan-data-viewer.s3.amazonaws.com/demo/leap-10-2023/mercator_3_pyramid_tasmax_day_ACCESS-CM2_historical_r1i1p1f1_gn.zarr',\n",
" 'dimensions': ('time', 'lat', 'lon'),\n",
" 'variable': 'tasmax',\n",
" 'time': [0,\n",
" 10,\n",
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" 610,\n",
" 620,\n",
" 630,\n",
" 640,\n",
" 650,\n",
" 660,\n",
" 670,\n",
" 680,\n",
" 690,\n",
" 700,\n",
" 710,\n",
" 720],\n",
" 'projection': 'mercator'}"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"\n",
"parameters = make_pyramids(ds=ds, levels=3, projection='mercator')\n",
"parameters"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "496e6c11-e5f4-4124-b0f0-ff38f410a91f",
"metadata": {},
"outputs": [],
"source": [
"import carbonplan_maps"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "bee2dc54-a6f9-4f2c-b1e3-b765c64367b3",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "5097912a4d394089bfdbf6d913cb4825",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Widget(clim=(200, 300), selector={'time': 0}, source='https://carbonplan-data-viewer.s3.amazonaws.com/demo/lea…"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"map = carbonplan_maps.Widget(\n",
" source=parameters['source'],\n",
" variable=parameters['variable'],\n",
" clim=(200, 300),\n",
" selector={'time': parameters['time'][0]},\n",
" projection=parameters['projection']\n",
")\n",
"map"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "1de9786e-7596-410d-92ef-043f027bb5c8",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "d965c1dfdfe74ba3953d7c3adb60b371",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox(children=(Label(value='Visual Controls'), HBox(children=(Dropdown(description='Colormap:', index=14, layo…"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from ipywidgets import Layout, Label\n",
"\n",
"def dashboard(*, map_widget, min_value, max_value, step):\n",
" # Widgets\n",
" colormap = ipywidgets.Dropdown(\n",
" options=[\n",
" \"oranges\",\n",
" \"yellows\",\n",
" \"reds\",\n",
" \"greens\",\n",
" \"teals\",\n",
" \"blues\",\n",
" \"purples\",\n",
" \"pinks\",\n",
" \"greys\",\n",
" \"fire\",\n",
" \"earth\",\n",
" \"water\",\n",
" \"heart\",\n",
" \"wind\",\n",
" \"warm\",\n",
" \"cool\",\n",
" \"pinkgreen\",\n",
" \"redteal\",\n",
" \"orangeblue\",\n",
" \"yellowpurple\",\n",
" \"redgrey\",\n",
" \"orangegrey\",\n",
" \"yellowgrey\",\n",
" \"greengrey\",\n",
" \"tealgrey\",\n",
" \"bluegrey\",\n",
" \"purplegrey\",\n",
" \"pinkgrey\",\n",
" \"rainbow\",\n",
" \"sinebow\",\n",
" ],\n",
" description=\"Colormap:\",\n",
" layout=Layout(width=\"30%\")\n",
" )\n",
" \n",
" clim = ipywidgets.FloatRangeSlider(min=200, max=350, description=\"CLim:\")\n",
" opacity = ipywidgets.FloatSlider(min=0, max=1, step=0.001, description=\"Opacity:\")\n",
" region = ipywidgets.Checkbox(description=\"Region\")\n",
" time_widget = ipywidgets.IntSlider(min=min_value, max=max_value, step=step, description=\"Time:\")\n",
" # Linking selector and time_widget\n",
"\n",
"\n",
" def update_selector(change):\n",
" map_widget.selector = {'time': change['new']}\n",
"\n",
" def update_time_widget(change):\n",
" time_widget.value = change['new']['time']\n",
"\n",
" time_widget.observe(update_selector, names='value')\n",
" map_widget.observe(update_time_widget, names='selector')\n",
" \n",
" \n",
" # Linking\n",
" ipywidgets.link((map_widget, \"colormap\"), (colormap, \"value\"))\n",
" ipywidgets.link((map_widget, \"clim\"), (clim, \"value\"))\n",
" ipywidgets.link((map_widget, \"opacity\"), (opacity, \"value\"))\n",
" ipywidgets.link((map_widget, \"region\"), (region, \"value\"))\n",
"\n",
" # Reset Button\n",
" reset_button = ipywidgets.Button(description=\"Reset\")\n",
"\n",
" def on_reset_button_clicked(_):\n",
" # Reset logic here\n",
" pass\n",
"\n",
" reset_button.on_click(on_reset_button_clicked)\n",
" \n",
" # Layout\n",
" visual_controls = ipywidgets.HBox([colormap, opacity, clim])\n",
" time_and_region = ipywidgets.HBox([time_widget, region, reset_button])\n",
"\n",
" dash = ipywidgets.VBox([\n",
" Label(\"Visual Controls\"),\n",
" visual_controls,\n",
" Label(\"Time & Region\"),\n",
" time_and_region,\n",
" Label(\"Map\"),\n",
" map_widget,\n",
" ])\n",
" \n",
" return dash\n",
"\n",
"time = parameters['time']\n",
"selector = {'time': parameters['time'][0]}\n",
"dashboard(map_widget=map, min_value=min(time), max_value=max(time), step=time[1] - time[0])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d70c1162-457c-425e-9473-26287e91eed7",
"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": "3.11.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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