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andersy005/cumulative-fg-co2-oae.ipynb

Created May 31, 2024 18:43
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cumulative-fg-co2-oae.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "615941be-a085-4837-a439-96de85463cb7",
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr\n",
"from ndpyramid.utils import set_zarr_encoding\n",
"import numpy as np"
]
},
{
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"execution_count": 2,
"id": "05813214-7566-492b-bae2-2554cfbd48af",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 283MB\n",
"Dimensions: (polygon: 300, region: 4, season: 4, time: 180,\n",
" dist2center: 82)\n",
"Coordinates:\n",
" * polygon (polygon) int32 1kB 0 1 2 3 4 ... 296 297 298 299\n",
" * region (region) &lt;U20 320B &#x27;North_Atlantic_basin&#x27; ... ...\n",
" * season (season) &lt;U8 128B &#x27;Januaray&#x27; ... &#x27;October&#x27;\n",
" * time (time) int32 720B 0 1 2 3 4 ... 176 177 178 179\n",
" * dist2center (dist2center) float32 328B 0.0 5e+04 ... 4.05e+06\n",
"Data variables:\n",
" FG_CO2_percent_cumulative (region, polygon, season, time, dist2center) float32 283MB ...</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-0c367e3a-fdfb-474b-9b17-7e44bfa1fa51' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0c367e3a-fdfb-474b-9b17-7e44bfa1fa51' 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'>polygon</span>: 300</li><li><span class='xr-has-index'>region</span>: 4</li><li><span class='xr-has-index'>season</span>: 4</li><li><span class='xr-has-index'>time</span>: 180</li><li><span class='xr-has-index'>dist2center</span>: 82</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9eb6b3ab-9b21-41fb-8c30-f3520e80a1df' class='xr-section-summary-in' type='checkbox' checked><label for='section-9eb6b3ab-9b21-41fb-8c30-f3520e80a1df' class='xr-section-summary' >Coordinates: <span>(5)</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'>polygon</span></div><div class='xr-var-dims'>(polygon)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 295 296 297 298 299</div><input id='attrs-25d7b246-4b2b-43c0-ab44-848034904d9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-25d7b246-4b2b-43c0-ab44-848034904d9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26583ba0-71ec-4f2e-9834-ad716f13ef47' class='xr-var-data-in' type='checkbox'><label for='data-26583ba0-71ec-4f2e-9834-ad716f13ef47' 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>array([ 0, 1, 2, ..., 297, 298, 299], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>region</span></div><div class='xr-var-dims'>(region)</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;North_Atlantic_basin&#x27; ... &#x27;Sout...</div><input id='attrs-1dc96155-f76b-4833-b4ad-05e030721430' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1dc96155-f76b-4833-b4ad-05e030721430' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c16d010-fe09-4908-99bf-a7c9f550cc6f' class='xr-var-data-in' type='checkbox'><label for='data-1c16d010-fe09-4908-99bf-a7c9f550cc6f' 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>array([&#x27;North_Atlantic_basin&#x27;, &#x27;North_Pacific_basin&#x27;, &#x27;South&#x27;,\n",
" &#x27;Southern_Ocean&#x27;], dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;Januaray&#x27; &#x27;April&#x27; &#x27;July&#x27; &#x27;October&#x27;</div><input id='attrs-b5c8f286-a18d-4473-b775-e2b3a2e2e52c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5c8f286-a18d-4473-b775-e2b3a2e2e52c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ecc4780-0f95-477b-a7a6-6bb217c75dd2' class='xr-var-data-in' type='checkbox'><label for='data-5ecc4780-0f95-477b-a7a6-6bb217c75dd2' 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>array([&#x27;Januaray&#x27;, &#x27;April&#x27;, &#x27;July&#x27;, &#x27;October&#x27;], dtype=&#x27;&lt;U8&#x27;)</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'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 175 176 177 178 179</div><input id='attrs-34d750d6-c2c1-4137-bd89-ef761e839351' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34d750d6-c2c1-4137-bd89-ef761e839351' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-424897f4-50d3-44f8-92bf-fdb7d56c30c0' class='xr-var-data-in' type='checkbox'><label for='data-424897f4-50d3-44f8-92bf-fdb7d56c30c0' 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>unit :</span></dt><dd>month</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,\n",
" 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,\n",
" 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41,\n",
" 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55,\n",
" 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69,\n",
" 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83,\n",
" 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97,\n",
" 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
" 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
" 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n",
" 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153,\n",
" 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167,\n",
" 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dist2center</span></div><div class='xr-var-dims'>(dist2center)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 5e+04 1e+05 ... 4e+06 4.05e+06</div><input id='attrs-984cc0ba-3b02-4ac9-873f-da8c0f2a44e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-984cc0ba-3b02-4ac9-873f-da8c0f2a44e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7865a972-72b0-4090-a0f3-4c8d76b0134f' class='xr-var-data-in' type='checkbox'><label for='data-7865a972-72b0-4090-a0f3-4c8d76b0134f' 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>unit :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 50000., 100000., 150000., 200000., 250000., 300000.,\n",
" 350000., 400000., 450000., 500000., 550000., 600000., 650000.,\n",
" 700000., 750000., 800000., 850000., 900000., 950000., 1000000.,\n",
" 1050000., 1100000., 1150000., 1200000., 1250000., 1300000., 1350000.,\n",
" 1400000., 1450000., 1500000., 1550000., 1600000., 1650000., 1700000.,\n",
" 1750000., 1800000., 1850000., 1900000., 1950000., 2000000., 2050000.,\n",
" 2100000., 2150000., 2200000., 2250000., 2300000., 2350000., 2400000.,\n",
" 2450000., 2500000., 2550000., 2600000., 2650000., 2700000., 2750000.,\n",
" 2800000., 2850000., 2900000., 2950000., 3000000., 3050000., 3100000.,\n",
" 3150000., 3200000., 3250000., 3300000., 3350000., 3400000., 3450000.,\n",
" 3500000., 3550000., 3600000., 3650000., 3700000., 3750000., 3800000.,\n",
" 3850000., 3900000., 3950000., 4000000., 4050000.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26b76ded-5f09-47b2-a27a-97f5f9977cd9' class='xr-section-summary-in' type='checkbox' checked><label for='section-26b76ded-5f09-47b2-a27a-97f5f9977cd9' 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>FG_CO2_percent_cumulative</span></div><div class='xr-var-dims'>(region, polygon, season, time, dist2center)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.4762 1.675 3.782 ... 0.0 0.0 0.0</div><input id='attrs-cfa65b61-40bb-42eb-b726-e9b2646d7886' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfa65b61-40bb-42eb-b726-e9b2646d7886' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af2c770b-868d-4e9c-beb8-20f495c121b6' class='xr-var-data-in' type='checkbox'><label for='data-af2c770b-868d-4e9c-beb8-20f495c121b6' 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>detail :</span></dt><dd>Cumulative percent of CO2 uptake, within a time step and distance to center</dd></dl></div><div class='xr-var-data'><pre>array([[[[[4.76224124e-01, 1.67489338e+00, 3.78242731e+00, ...,\n",
" 1.10874910e+01, 1.10874920e+01, 1.10875359e+01],\n",
" [7.94292688e-01, 2.77199197e+00, 6.26467514e+00, ...,\n",
" 2.00699711e+01, 2.00699711e+01, 2.00701733e+01],\n",
" [9.15110826e-01, 3.19406104e+00, 7.25278616e+00, ...,\n",
" 2.55889168e+01, 2.55889168e+01, 2.55893059e+01],\n",
" ...,\n",
" [1.22276282e+00, 4.30911112e+00, 9.84353733e+00, ...,\n",
" 9.94930420e+01, 9.94991837e+01, 9.95693970e+01],\n",
" [1.22322547e+00, 4.31078339e+00, 9.84738636e+00, ...,\n",
" 9.96615982e+01, 9.96678085e+01, 9.97383652e+01],\n",
" [1.22383785e+00, 4.31300592e+00, 9.85255909e+00, ...,\n",
" 9.99228058e+01, 9.99290848e+01, 1.00000000e+02]],\n",
"\n",
" [[5.57920933e-01, 1.97799063e+00, 4.33573818e+00, ...,\n",
" 9.79599953e+00, 9.79600048e+00, 9.79631329e+00],\n",
" [9.64941025e-01, 3.45760584e+00, 7.67450428e+00, ...,\n",
" 2.04989643e+01, 2.04989662e+01, 2.05004063e+01],\n",
" [1.02435505e+00, 3.68249917e+00, 8.21796513e+00, ...,\n",
" 2.39291096e+01, 2.39291134e+01, 2.39316750e+01],\n",
"...\n",
" 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
" 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
" 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
"\n",
" [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
" 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
" 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
" 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
" ...,\n",
" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
" 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
" 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
" 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]]]]],\n",
" dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7715c4bb-e530-4954-8cc8-2b0c59e63de4' class='xr-section-summary-in' type='checkbox' ><label for='section-7715c4bb-e530-4954-8cc8-2b0c59e63de4' class='xr-section-summary' >Indexes: <span>(5)</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>polygon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-56352d39-2f40-4b7e-a8ad-04ec6767d71f' class='xr-index-data-in' type='checkbox'/><label for='index-56352d39-2f40-4b7e-a8ad-04ec6767d71f' 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, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 290, 291, 292, 293, 294, 295, 296, 297, 298, 299],\n",
" dtype=&#x27;int32&#x27;, name=&#x27;polygon&#x27;, length=300))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>region</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7390f004-aa1d-4789-b2a7-0c8fa78c9fef' class='xr-index-data-in' type='checkbox'/><label for='index-7390f004-aa1d-4789-b2a7-0c8fa78c9fef' 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([&#x27;North_Atlantic_basin&#x27;, &#x27;North_Pacific_basin&#x27;, &#x27;South&#x27;,\n",
" &#x27;Southern_Ocean&#x27;],\n",
" dtype=&#x27;object&#x27;, name=&#x27;region&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-03e7a2bc-490b-467a-acbf-b605e41716ff' class='xr-index-data-in' type='checkbox'/><label for='index-03e7a2bc-490b-467a-acbf-b605e41716ff' 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([&#x27;Januaray&#x27;, &#x27;April&#x27;, &#x27;July&#x27;, &#x27;October&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</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-4a51c28e-3c53-4092-83af-246f20baeb76' class='xr-index-data-in' type='checkbox'/><label for='index-4a51c28e-3c53-4092-83af-246f20baeb76' 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, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 170, 171, 172, 173, 174, 175, 176, 177, 178, 179],\n",
" dtype=&#x27;int32&#x27;, name=&#x27;time&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dist2center</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b7750d83-6e08-45fd-abfe-45a3140ffc26' class='xr-index-data-in' type='checkbox'/><label for='index-b7750d83-6e08-45fd-abfe-45a3140ffc26' 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([ 0.0, 50000.0, 100000.0, 150000.0, 200000.0, 250000.0,\n",
" 300000.0, 350000.0, 400000.0, 450000.0, 500000.0, 550000.0,\n",
" 600000.0, 650000.0, 700000.0, 750000.0, 800000.0, 850000.0,\n",
" 900000.0, 950000.0, 1000000.0, 1050000.0, 1100000.0, 1150000.0,\n",
" 1200000.0, 1250000.0, 1300000.0, 1350000.0, 1400000.0, 1450000.0,\n",
" 1500000.0, 1550000.0, 1600000.0, 1650000.0, 1700000.0, 1750000.0,\n",
" 1800000.0, 1850000.0, 1900000.0, 1950000.0, 2000000.0, 2050000.0,\n",
" 2100000.0, 2150000.0, 2200000.0, 2250000.0, 2300000.0, 2350000.0,\n",
" 2400000.0, 2450000.0, 2500000.0, 2550000.0, 2600000.0, 2650000.0,\n",
" 2700000.0, 2750000.0, 2800000.0, 2850000.0, 2900000.0, 2950000.0,\n",
" 3000000.0, 3050000.0, 3100000.0, 3150000.0, 3200000.0, 3250000.0,\n",
" 3300000.0, 3350000.0, 3400000.0, 3450000.0, 3500000.0, 3550000.0,\n",
" 3600000.0, 3650000.0, 3700000.0, 3750000.0, 3800000.0, 3850000.0,\n",
" 3900000.0, 3950000.0, 4000000.0, 4050000.0],\n",
" dtype=&#x27;float32&#x27;, name=&#x27;dist2center&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4967481-70b9-4368-a284-a3df4d0a91c9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c4967481-70b9-4368-a284-a3df4d0a91c9' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset> Size: 283MB\n",
"Dimensions: (polygon: 300, region: 4, season: 4, time: 180,\n",
" dist2center: 82)\n",
"Coordinates:\n",
" * polygon (polygon) int32 1kB 0 1 2 3 4 ... 296 297 298 299\n",
" * region (region) <U20 320B 'North_Atlantic_basin' ... ...\n",
" * season (season) <U8 128B 'Januaray' ... 'October'\n",
" * time (time) int32 720B 0 1 2 3 4 ... 176 177 178 179\n",
" * dist2center (dist2center) float32 328B 0.0 5e+04 ... 4.05e+06\n",
"Data variables:\n",
" FG_CO2_percent_cumulative (region, polygon, season, time, dist2center) float32 283MB ..."
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds = xr.open_dataset(\"/tmp/Cumulative_FG_CO2_percent.nc\", engine='netcdf4')\n",
"ds = set_zarr_encoding(ds, float_dtype=np.float32, int_dtype=np.int32)\n",
"ds"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "38773980-885a-4326-9b70-f17a6f958b9a",
"metadata": {},
"outputs": [],
"source": [
"atlantic = ds.sel(region='North_Atlantic_basin').isel(polygon=slice(0, 150))\n",
"pacific = ds.sel(region='North_Pacific_basin').isel(polygon=slice(0, 200))\n",
"south_atlantic = ds.sel(region='South').isel(polygon=slice(0, 300))\n",
"southern = ds.sel(region='Southern_Ocean').isel(polygon=slice(0, 40))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "87a332d0-ef64-404e-a69a-eb564db9b96f",
"metadata": {},
"outputs": [
{
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".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: 35MB\n",
"Dimensions: (polygon: 150, season: 4, time: 180,\n",
" dist2center: 82)\n",
"Coordinates:\n",
" * polygon (polygon) int32 600B 0 1 2 3 ... 146 147 148 149\n",
" region &lt;U20 80B &#x27;North_Atlantic_basin&#x27;\n",
" * season (season) &lt;U8 128B &#x27;Januaray&#x27; ... &#x27;October&#x27;\n",
" * time (time) int32 720B 0 1 2 3 4 ... 176 177 178 179\n",
" * dist2center (dist2center) float32 328B 0.0 5e+04 ... 4.05e+06\n",
"Data variables:\n",
" FG_CO2_percent_cumulative (polygon, season, time, dist2center) float32 35MB ...</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-e42100ff-5a90-428a-9cd8-21b8f926942a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e42100ff-5a90-428a-9cd8-21b8f926942a' 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'>polygon</span>: 150</li><li><span class='xr-has-index'>season</span>: 4</li><li><span class='xr-has-index'>time</span>: 180</li><li><span class='xr-has-index'>dist2center</span>: 82</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0843ebf8-1a7b-4af5-99a8-d7ad61ceece9' class='xr-section-summary-in' type='checkbox' checked><label for='section-0843ebf8-1a7b-4af5-99a8-d7ad61ceece9' class='xr-section-summary' >Coordinates: <span>(5)</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'>polygon</span></div><div class='xr-var-dims'>(polygon)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 145 146 147 148 149</div><input id='attrs-8d729664-ebf9-4ce5-89a3-7e92588e2caf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d729664-ebf9-4ce5-89a3-7e92588e2caf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e85cfb8-5f2e-4f69-8cf7-3676a88428fe' class='xr-var-data-in' type='checkbox'><label for='data-0e85cfb8-5f2e-4f69-8cf7-3676a88428fe' 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>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,\n",
" 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,\n",
" 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41,\n",
" 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55,\n",
" 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69,\n",
" 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83,\n",
" 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97,\n",
" 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
" 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
" 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n",
" 140, 141, 142, 143, 144, 145, 146, 147, 148, 149], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>region</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;North_Atlantic_basin&#x27;</div><input id='attrs-ba6f0ea1-3655-49e1-964e-f411381ad9cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba6f0ea1-3655-49e1-964e-f411381ad9cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea8a1e94-7736-4ba8-8931-c3767400157b' class='xr-var-data-in' type='checkbox'><label for='data-ea8a1e94-7736-4ba8-8931-c3767400157b' 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>array(&#x27;North_Atlantic_basin&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;Januaray&#x27; &#x27;April&#x27; &#x27;July&#x27; &#x27;October&#x27;</div><input id='attrs-0db07d84-35cc-44b7-bde3-c12079ea4609' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0db07d84-35cc-44b7-bde3-c12079ea4609' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-084f511a-c2af-42fc-b2a4-76394c0fdfc2' class='xr-var-data-in' type='checkbox'><label for='data-084f511a-c2af-42fc-b2a4-76394c0fdfc2' 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>array([&#x27;Januaray&#x27;, &#x27;April&#x27;, &#x27;July&#x27;, &#x27;October&#x27;], dtype=&#x27;&lt;U8&#x27;)</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'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 175 176 177 178 179</div><input id='attrs-9db4e651-f005-4cc1-874e-f1ef8eb54650' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9db4e651-f005-4cc1-874e-f1ef8eb54650' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27361302-65dd-443e-ba8b-662d904b02ec' class='xr-var-data-in' type='checkbox'><label for='data-27361302-65dd-443e-ba8b-662d904b02ec' 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>unit :</span></dt><dd>month</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,\n",
" 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,\n",
" 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41,\n",
" 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55,\n",
" 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69,\n",
" 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83,\n",
" 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97,\n",
" 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
" 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
" 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n",
" 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153,\n",
" 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167,\n",
" 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dist2center</span></div><div class='xr-var-dims'>(dist2center)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 5e+04 1e+05 ... 4e+06 4.05e+06</div><input id='attrs-01cc05f0-8495-430b-841e-b55564b1bf9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01cc05f0-8495-430b-841e-b55564b1bf9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e768fa07-bef9-4b45-bbed-4cae1597daf6' class='xr-var-data-in' type='checkbox'><label for='data-e768fa07-bef9-4b45-bbed-4cae1597daf6' 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>unit :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 50000., 100000., 150000., 200000., 250000., 300000.,\n",
" 350000., 400000., 450000., 500000., 550000., 600000., 650000.,\n",
" 700000., 750000., 800000., 850000., 900000., 950000., 1000000.,\n",
" 1050000., 1100000., 1150000., 1200000., 1250000., 1300000., 1350000.,\n",
" 1400000., 1450000., 1500000., 1550000., 1600000., 1650000., 1700000.,\n",
" 1750000., 1800000., 1850000., 1900000., 1950000., 2000000., 2050000.,\n",
" 2100000., 2150000., 2200000., 2250000., 2300000., 2350000., 2400000.,\n",
" 2450000., 2500000., 2550000., 2600000., 2650000., 2700000., 2750000.,\n",
" 2800000., 2850000., 2900000., 2950000., 3000000., 3050000., 3100000.,\n",
" 3150000., 3200000., 3250000., 3300000., 3350000., 3400000., 3450000.,\n",
" 3500000., 3550000., 3600000., 3650000., 3700000., 3750000., 3800000.,\n",
" 3850000., 3900000., 3950000., 4000000., 4050000.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff34c535-c85e-4396-a12e-3c0c139f5ef5' class='xr-section-summary-in' type='checkbox' checked><label for='section-ff34c535-c85e-4396-a12e-3c0c139f5ef5' 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>FG_CO2_percent_cumulative</span></div><div class='xr-var-dims'>(polygon, season, time, dist2center)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.4762 1.675 3.782 ... 90.94 100.0</div><input id='attrs-16312872-946c-45b9-8b96-691100a96e8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16312872-946c-45b9-8b96-691100a96e8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-724cbbfe-5b47-4110-8961-414833068b18' class='xr-var-data-in' type='checkbox'><label for='data-724cbbfe-5b47-4110-8961-414833068b18' 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>detail :</span></dt><dd>Cumulative percent of CO2 uptake, within a time step and distance to center</dd></dl></div><div class='xr-var-data'><pre>array([[[[4.76224124e-01, 1.67489338e+00, 3.78242731e+00, ...,\n",
" 1.10874910e+01, 1.10874920e+01, 1.10875359e+01],\n",
" [7.94292688e-01, 2.77199197e+00, 6.26467514e+00, ...,\n",
" 2.00699711e+01, 2.00699711e+01, 2.00701733e+01],\n",
" [9.15110826e-01, 3.19406104e+00, 7.25278616e+00, ...,\n",
" 2.55889168e+01, 2.55889168e+01, 2.55893059e+01],\n",
" ...,\n",
" [1.22276282e+00, 4.30911112e+00, 9.84353733e+00, ...,\n",
" 9.94930420e+01, 9.94991837e+01, 9.95693970e+01],\n",
" [1.22322547e+00, 4.31078339e+00, 9.84738636e+00, ...,\n",
" 9.96615982e+01, 9.96678085e+01, 9.97383652e+01],\n",
" [1.22383785e+00, 4.31300592e+00, 9.85255909e+00, ...,\n",
" 9.99228058e+01, 9.99290848e+01, 1.00000000e+02]],\n",
"\n",
" [[5.57920933e-01, 1.97799063e+00, 4.33573818e+00, ...,\n",
" 9.79599953e+00, 9.79600048e+00, 9.79631329e+00],\n",
" [9.64941025e-01, 3.45760584e+00, 7.67450428e+00, ...,\n",
" 2.04989643e+01, 2.04989662e+01, 2.05004063e+01],\n",
" [1.02435505e+00, 3.68249917e+00, 8.21796513e+00, ...,\n",
" 2.39291096e+01, 2.39291134e+01, 2.39316750e+01],\n",
"...\n",
" 9.08753967e+01, 9.12371826e+01, 9.99697723e+01],\n",
" [3.82001735e-02, 3.93497199e-01, 6.51183367e-01, ...,\n",
" 9.08831863e+01, 9.12453003e+01, 9.99880524e+01],\n",
" [3.82002667e-02, 3.93498152e-01, 6.51184916e-01, ...,\n",
" 9.08881760e+01, 9.12504959e+01, 1.00000000e+02]],\n",
"\n",
" [[1.73388608e-02, 1.83322653e-01, 3.03801000e-01, ...,\n",
" 3.58271003e+00, 3.58271003e+00, 3.58270669e+00],\n",
" [2.96960138e-02, 2.97939599e-01, 5.05848289e-01, ...,\n",
" 8.29588223e+00, 8.29588223e+00, 8.29588223e+00],\n",
" [3.23360637e-02, 3.24169904e-01, 5.57833314e-01, ...,\n",
" 1.41025324e+01, 1.41025324e+01, 1.41025419e+01],\n",
" ...,\n",
" [7.40564838e-02, 7.50408828e-01, 1.24415469e+00, ...,\n",
" 9.05132217e+01, 9.09303055e+01, 9.99723053e+01],\n",
" [7.40564764e-02, 7.50408709e-01, 1.24415457e+00, ...,\n",
" 9.05181274e+01, 9.09353638e+01, 9.99851456e+01],\n",
" [7.40564540e-02, 7.50408411e-01, 1.24415410e+00, ...,\n",
" 9.05221405e+01, 9.09395370e+01, 1.00000000e+02]]]],\n",
" dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ef063fb4-eeaf-4c4e-87c5-cfd65cc6368d' class='xr-section-summary-in' type='checkbox' ><label for='section-ef063fb4-eeaf-4c4e-87c5-cfd65cc6368d' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>polygon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4d2a9800-69b7-4af4-95e4-6846f7cbf281' class='xr-index-data-in' type='checkbox'/><label for='index-4d2a9800-69b7-4af4-95e4-6846f7cbf281' 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, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 140, 141, 142, 143, 144, 145, 146, 147, 148, 149],\n",
" dtype=&#x27;int32&#x27;, name=&#x27;polygon&#x27;, length=150))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bf23b077-978c-490c-b5e1-3f2b8d9463c9' class='xr-index-data-in' type='checkbox'/><label for='index-bf23b077-978c-490c-b5e1-3f2b8d9463c9' 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([&#x27;Januaray&#x27;, &#x27;April&#x27;, &#x27;July&#x27;, &#x27;October&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</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-af79913a-e78a-41dc-9f92-026126478bf0' class='xr-index-data-in' type='checkbox'/><label for='index-af79913a-e78a-41dc-9f92-026126478bf0' 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, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 170, 171, 172, 173, 174, 175, 176, 177, 178, 179],\n",
" dtype=&#x27;int32&#x27;, name=&#x27;time&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dist2center</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-757f0562-2129-4a51-bab6-211a7f5cc430' class='xr-index-data-in' type='checkbox'/><label for='index-757f0562-2129-4a51-bab6-211a7f5cc430' 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([ 0.0, 50000.0, 100000.0, 150000.0, 200000.0, 250000.0,\n",
" 300000.0, 350000.0, 400000.0, 450000.0, 500000.0, 550000.0,\n",
" 600000.0, 650000.0, 700000.0, 750000.0, 800000.0, 850000.0,\n",
" 900000.0, 950000.0, 1000000.0, 1050000.0, 1100000.0, 1150000.0,\n",
" 1200000.0, 1250000.0, 1300000.0, 1350000.0, 1400000.0, 1450000.0,\n",
" 1500000.0, 1550000.0, 1600000.0, 1650000.0, 1700000.0, 1750000.0,\n",
" 1800000.0, 1850000.0, 1900000.0, 1950000.0, 2000000.0, 2050000.0,\n",
" 2100000.0, 2150000.0, 2200000.0, 2250000.0, 2300000.0, 2350000.0,\n",
" 2400000.0, 2450000.0, 2500000.0, 2550000.0, 2600000.0, 2650000.0,\n",
" 2700000.0, 2750000.0, 2800000.0, 2850000.0, 2900000.0, 2950000.0,\n",
" 3000000.0, 3050000.0, 3100000.0, 3150000.0, 3200000.0, 3250000.0,\n",
" 3300000.0, 3350000.0, 3400000.0, 3450000.0, 3500000.0, 3550000.0,\n",
" 3600000.0, 3650000.0, 3700000.0, 3750000.0, 3800000.0, 3850000.0,\n",
" 3900000.0, 3950000.0, 4000000.0, 4050000.0],\n",
" dtype=&#x27;float32&#x27;, name=&#x27;dist2center&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-75af345a-f207-4d5a-8d25-d8c781fb2e42' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-75af345a-f207-4d5a-8d25-d8c781fb2e42' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset> Size: 35MB\n",
"Dimensions: (polygon: 150, season: 4, time: 180,\n",
" dist2center: 82)\n",
"Coordinates:\n",
" * polygon (polygon) int32 600B 0 1 2 3 ... 146 147 148 149\n",
" region <U20 80B 'North_Atlantic_basin'\n",
" * season (season) <U8 128B 'Januaray' ... 'October'\n",
" * time (time) int32 720B 0 1 2 3 4 ... 176 177 178 179\n",
" * dist2center (dist2center) float32 328B 0.0 5e+04 ... 4.05e+06\n",
"Data variables:\n",
" FG_CO2_percent_cumulative (polygon, season, time, dist2center) float32 35MB ..."
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"atlantic"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "e149f3c3-b1c2-4fd0-8547-c1a818a8d3d0",
"metadata": {},
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 163MB\n",
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"Coordinates:\n",
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" * dist2center (dist2center) float32 328B 0.0 5e+04 ... 4.05e+06\n",
"Data variables:\n",
" FG_CO2_percent_cumulative (polygon, season, time, dist2center) float32 163MB ...</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-4a43d2fa-c3c3-4fa0-8288-58a5ce91cad8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4a43d2fa-c3c3-4fa0-8288-58a5ce91cad8' 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'>polygon</span>: 690</li><li><span class='xr-has-index'>season</span>: 4</li><li><span class='xr-has-index'>time</span>: 180</li><li><span class='xr-has-index'>dist2center</span>: 82</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f33b6d2a-3184-45c1-9356-d1282f594a43' class='xr-section-summary-in' type='checkbox' checked><label for='section-f33b6d2a-3184-45c1-9356-d1282f594a43' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>polygon</span></div><div class='xr-var-dims'>(polygon)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 685 686 687 688 689</div><input id='attrs-199f6087-973d-4ed7-96f7-d08a4a56811e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-199f6087-973d-4ed7-96f7-d08a4a56811e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f725649-db81-45af-ab2f-38a1bc197f10' class='xr-var-data-in' type='checkbox'><label for='data-6f725649-db81-45af-ab2f-38a1bc197f10' 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>array([ 0, 1, 2, ..., 687, 688, 689], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;Januaray&#x27; &#x27;April&#x27; &#x27;July&#x27; &#x27;October&#x27;</div><input id='attrs-659d36cf-75f8-44aa-a78e-88a7303dc443' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-659d36cf-75f8-44aa-a78e-88a7303dc443' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8582188b-9f67-49c8-9014-13c940ebaecc' class='xr-var-data-in' type='checkbox'><label for='data-8582188b-9f67-49c8-9014-13c940ebaecc' 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>array([&#x27;Januaray&#x27;, &#x27;April&#x27;, &#x27;July&#x27;, &#x27;October&#x27;], dtype=&#x27;&lt;U8&#x27;)</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'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 175 176 177 178 179</div><input id='attrs-e6508137-0ead-426f-8500-aaef1f85dbc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6508137-0ead-426f-8500-aaef1f85dbc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53621483-e5ba-42df-984c-293702102e6d' class='xr-var-data-in' type='checkbox'><label for='data-53621483-e5ba-42df-984c-293702102e6d' 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>unit :</span></dt><dd>month</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,\n",
" 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,\n",
" 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41,\n",
" 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55,\n",
" 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69,\n",
" 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83,\n",
" 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97,\n",
" 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
" 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
" 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n",
" 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153,\n",
" 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167,\n",
" 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dist2center</span></div><div class='xr-var-dims'>(dist2center)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 5e+04 1e+05 ... 4e+06 4.05e+06</div><input id='attrs-b9e02ea3-6ce2-4bd3-ab35-a493d0d2da90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9e02ea3-6ce2-4bd3-ab35-a493d0d2da90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-798963ac-90b2-44f0-a166-ebc0f63096d0' class='xr-var-data-in' type='checkbox'><label for='data-798963ac-90b2-44f0-a166-ebc0f63096d0' 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>unit :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 50000., 100000., 150000., 200000., 250000., 300000.,\n",
" 350000., 400000., 450000., 500000., 550000., 600000., 650000.,\n",
" 700000., 750000., 800000., 850000., 900000., 950000., 1000000.,\n",
" 1050000., 1100000., 1150000., 1200000., 1250000., 1300000., 1350000.,\n",
" 1400000., 1450000., 1500000., 1550000., 1600000., 1650000., 1700000.,\n",
" 1750000., 1800000., 1850000., 1900000., 1950000., 2000000., 2050000.,\n",
" 2100000., 2150000., 2200000., 2250000., 2300000., 2350000., 2400000.,\n",
" 2450000., 2500000., 2550000., 2600000., 2650000., 2700000., 2750000.,\n",
" 2800000., 2850000., 2900000., 2950000., 3000000., 3050000., 3100000.,\n",
" 3150000., 3200000., 3250000., 3300000., 3350000., 3400000., 3450000.,\n",
" 3500000., 3550000., 3600000., 3650000., 3700000., 3750000., 3800000.,\n",
" 3850000., 3900000., 3950000., 4000000., 4050000.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68b51678-cae0-4e6e-9349-30af0d7b494a' class='xr-section-summary-in' type='checkbox' checked><label for='section-68b51678-cae0-4e6e-9349-30af0d7b494a' 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>FG_CO2_percent_cumulative</span></div><div class='xr-var-dims'>(polygon, season, time, dist2center)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.4762 1.675 3.782 ... 96.74 100.0</div><input id='attrs-7094d7ca-e805-4511-ad08-2eb4b77ad8e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7094d7ca-e805-4511-ad08-2eb4b77ad8e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa743565-246e-49d6-b411-7e009ff501ff' class='xr-var-data-in' type='checkbox'><label for='data-aa743565-246e-49d6-b411-7e009ff501ff' 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>detail :</span></dt><dd>Cumulative percent of CO2 uptake, within a time step and distance to center</dd></dl></div><div class='xr-var-data'><pre>array([[[[4.76224124e-01, 1.67489338e+00, 3.78242731e+00, ...,\n",
" 1.10874910e+01, 1.10874920e+01, 1.10875359e+01],\n",
" [7.94292688e-01, 2.77199197e+00, 6.26467514e+00, ...,\n",
" 2.00699711e+01, 2.00699711e+01, 2.00701733e+01],\n",
" [9.15110826e-01, 3.19406104e+00, 7.25278616e+00, ...,\n",
" 2.55889168e+01, 2.55889168e+01, 2.55893059e+01],\n",
" ...,\n",
" [1.22276282e+00, 4.30911112e+00, 9.84353733e+00, ...,\n",
" 9.94930420e+01, 9.94991837e+01, 9.95693970e+01],\n",
" [1.22322547e+00, 4.31078339e+00, 9.84738636e+00, ...,\n",
" 9.96615982e+01, 9.96678085e+01, 9.97383652e+01],\n",
" [1.22383785e+00, 4.31300592e+00, 9.85255909e+00, ...,\n",
" 9.99228058e+01, 9.99290848e+01, 1.00000000e+02]],\n",
"\n",
" [[5.57920933e-01, 1.97799063e+00, 4.33573818e+00, ...,\n",
" 9.79599953e+00, 9.79600048e+00, 9.79631329e+00],\n",
" [9.64941025e-01, 3.45760584e+00, 7.67450428e+00, ...,\n",
" 2.04989643e+01, 2.04989662e+01, 2.05004063e+01],\n",
" [1.02435505e+00, 3.68249917e+00, 8.21796513e+00, ...,\n",
" 2.39291096e+01, 2.39291134e+01, 2.39316750e+01],\n",
"...\n",
" 9.62315521e+01, 9.63596191e+01, 9.99606705e+01],\n",
" [4.05743718e-01, 1.34588194e+00, 2.80461621e+00, ...,\n",
" 9.62443161e+01, 9.63725815e+01, 9.99795151e+01],\n",
" [4.05747682e-01, 1.34590006e+00, 2.80466151e+00, ...,\n",
" 9.62579193e+01, 9.63863983e+01, 1.00000000e+02]],\n",
"\n",
" [[1.58489607e-02, 5.34384735e-02, 1.14188261e-01, ...,\n",
" 3.98777056e+00, 3.98777080e+00, 3.98778963e+00],\n",
" [5.38193583e-02, 1.80051491e-01, 3.75453979e-01, ...,\n",
" 9.95819092e+00, 9.95819092e+00, 9.95830917e+00],\n",
" [1.25927001e-01, 4.16150957e-01, 8.55627894e-01, ...,\n",
" 1.60407524e+01, 1.60407524e+01, 1.60410385e+01],\n",
" ...,\n",
" [6.03799403e-01, 1.98709893e+00, 4.09231710e+00, ...,\n",
" 9.65985413e+01, 9.67116165e+01, 9.99520874e+01],\n",
" [6.03801012e-01, 1.98710477e+00, 4.09233093e+00, ...,\n",
" 9.66153259e+01, 9.67286453e+01, 9.99786453e+01],\n",
" [6.03801310e-01, 1.98710573e+00, 4.09233332e+00, ...,\n",
" 9.66283646e+01, 9.67418976e+01, 1.00000000e+02]]]],\n",
" dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9eb92581-ddc3-47fb-adbd-ab14c75d5307' class='xr-section-summary-in' type='checkbox' ><label for='section-9eb92581-ddc3-47fb-adbd-ab14c75d5307' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>polygon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-94de4741-83b5-451b-9310-fc9b81654d47' class='xr-index-data-in' type='checkbox'/><label for='index-94de4741-83b5-451b-9310-fc9b81654d47' 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, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 680, 681, 682, 683, 684, 685, 686, 687, 688, 689],\n",
" dtype=&#x27;int32&#x27;, name=&#x27;polygon&#x27;, length=690))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ee62510d-4346-418a-8031-f18043e74ec2' class='xr-index-data-in' type='checkbox'/><label for='index-ee62510d-4346-418a-8031-f18043e74ec2' 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([&#x27;Januaray&#x27;, &#x27;April&#x27;, &#x27;July&#x27;, &#x27;October&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</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-ee602208-1031-44f0-9668-39f498ebc382' class='xr-index-data-in' type='checkbox'/><label for='index-ee602208-1031-44f0-9668-39f498ebc382' 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, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 170, 171, 172, 173, 174, 175, 176, 177, 178, 179],\n",
" dtype=&#x27;int32&#x27;, name=&#x27;time&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dist2center</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-03c0981f-d143-4259-bf25-6f4644108ac4' class='xr-index-data-in' type='checkbox'/><label for='index-03c0981f-d143-4259-bf25-6f4644108ac4' 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([ 0.0, 50000.0, 100000.0, 150000.0, 200000.0, 250000.0,\n",
" 300000.0, 350000.0, 400000.0, 450000.0, 500000.0, 550000.0,\n",
" 600000.0, 650000.0, 700000.0, 750000.0, 800000.0, 850000.0,\n",
" 900000.0, 950000.0, 1000000.0, 1050000.0, 1100000.0, 1150000.0,\n",
" 1200000.0, 1250000.0, 1300000.0, 1350000.0, 1400000.0, 1450000.0,\n",
" 1500000.0, 1550000.0, 1600000.0, 1650000.0, 1700000.0, 1750000.0,\n",
" 1800000.0, 1850000.0, 1900000.0, 1950000.0, 2000000.0, 2050000.0,\n",
" 2100000.0, 2150000.0, 2200000.0, 2250000.0, 2300000.0, 2350000.0,\n",
" 2400000.0, 2450000.0, 2500000.0, 2550000.0, 2600000.0, 2650000.0,\n",
" 2700000.0, 2750000.0, 2800000.0, 2850000.0, 2900000.0, 2950000.0,\n",
" 3000000.0, 3050000.0, 3100000.0, 3150000.0, 3200000.0, 3250000.0,\n",
" 3300000.0, 3350000.0, 3400000.0, 3450000.0, 3500000.0, 3550000.0,\n",
" 3600000.0, 3650000.0, 3700000.0, 3750000.0, 3800000.0, 3850000.0,\n",
" 3900000.0, 3950000.0, 4000000.0, 4050000.0],\n",
" dtype=&#x27;float32&#x27;, name=&#x27;dist2center&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-330b0766-f89d-4474-8db6-d164af678422' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-330b0766-f89d-4474-8db6-d164af678422' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset> Size: 163MB\n",
"Dimensions: (polygon: 690, season: 4, time: 180,\n",
" dist2center: 82)\n",
"Coordinates:\n",
" * polygon (polygon) int32 3kB 0 1 2 3 4 ... 686 687 688 689\n",
" * season (season) <U8 128B 'Januaray' ... 'October'\n",
" * time (time) int32 720B 0 1 2 3 4 ... 176 177 178 179\n",
" * dist2center (dist2center) float32 328B 0.0 5e+04 ... 4.05e+06\n",
"Data variables:\n",
" FG_CO2_percent_cumulative (polygon, season, time, dist2center) float32 163MB ..."
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dset = xr.concat([atlantic, pacific, south_atlantic, southern], dim='polygon').drop_vars('region')\n",
"dset['polygon'] = np.arange(0, 690, dtype=np.int32)\n",
"dset"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "86f2ed58-01c4-4ddc-9863-7594d6bf6aa1",
"metadata": {},
"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 6MB\n",
"Dimensions: (polygon: 690, season: 4, time: 180,\n",
" dist2center: 3)\n",
"Coordinates:\n",
" * polygon (polygon) int32 3kB 0 1 2 3 4 ... 686 687 688 689\n",
" * season (season) &lt;U8 128B &#x27;Januaray&#x27; ... &#x27;October&#x27;\n",
" * time (time) int32 720B 0 1 2 3 4 ... 176 177 178 179\n",
" * dist2center (dist2center) float32 12B 5e+05 1e+06 2e+06\n",
"Data variables:\n",
" FG_CO2_percent_cumulative (time, polygon, season, dist2center) float32 6MB dask.array&lt;chunksize=(180, 690, 1, 3), meta=np.ndarray&gt;</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-41e97a0d-3e0a-4d9d-9b78-e6541694bbeb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-41e97a0d-3e0a-4d9d-9b78-e6541694bbeb' 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'>polygon</span>: 690</li><li><span class='xr-has-index'>season</span>: 4</li><li><span class='xr-has-index'>time</span>: 180</li><li><span class='xr-has-index'>dist2center</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-706592f5-bb65-42a4-ba30-439411840989' class='xr-section-summary-in' type='checkbox' checked><label for='section-706592f5-bb65-42a4-ba30-439411840989' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>polygon</span></div><div class='xr-var-dims'>(polygon)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 685 686 687 688 689</div><input id='attrs-ebca65ce-1ab5-4867-85b5-30fffcfb1ff5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ebca65ce-1ab5-4867-85b5-30fffcfb1ff5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee8c9f03-1166-4fe1-a1f3-fa323d355ff0' class='xr-var-data-in' type='checkbox'><label for='data-ee8c9f03-1166-4fe1-a1f3-fa323d355ff0' 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>array([ 0, 1, 2, ..., 687, 688, 689], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;Januaray&#x27; &#x27;April&#x27; &#x27;July&#x27; &#x27;October&#x27;</div><input id='attrs-e3ceb853-63f4-4b0d-8b40-1d8e43e883d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3ceb853-63f4-4b0d-8b40-1d8e43e883d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3e9a1d5-9b39-4e58-9ea3-5455d94fa348' class='xr-var-data-in' type='checkbox'><label for='data-a3e9a1d5-9b39-4e58-9ea3-5455d94fa348' 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>array([&#x27;Januaray&#x27;, &#x27;April&#x27;, &#x27;July&#x27;, &#x27;October&#x27;], dtype=&#x27;&lt;U8&#x27;)</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'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 175 176 177 178 179</div><input id='attrs-b6841e77-5fb6-4964-a272-c311d10eb13b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6841e77-5fb6-4964-a272-c311d10eb13b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-373149ae-931a-4565-baab-ede1c106078f' class='xr-var-data-in' type='checkbox'><label for='data-373149ae-931a-4565-baab-ede1c106078f' 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>unit :</span></dt><dd>month</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,\n",
" 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,\n",
" 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41,\n",
" 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55,\n",
" 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69,\n",
" 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83,\n",
" 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97,\n",
" 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
" 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
" 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n",
" 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153,\n",
" 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167,\n",
" 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dist2center</span></div><div class='xr-var-dims'>(dist2center)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5e+05 1e+06 2e+06</div><input id='attrs-7777c2e3-1c6a-4bf4-81f7-b6f606c5d373' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7777c2e3-1c6a-4bf4-81f7-b6f606c5d373' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-550f80d1-c5ec-41f0-9420-c6fdbe0224a9' class='xr-var-data-in' type='checkbox'><label for='data-550f80d1-c5ec-41f0-9420-c6fdbe0224a9' 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>unit :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 500000., 1000000., 2000000.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-08b2ca53-cba8-492d-9840-9d8632e89edf' class='xr-section-summary-in' type='checkbox' checked><label for='section-08b2ca53-cba8-492d-9840-9d8632e89edf' 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>FG_CO2_percent_cumulative</span></div><div class='xr-var-dims'>(time, polygon, season, dist2center)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(180, 690, 1, 3), meta=np.ndarray&gt;</div><input id='attrs-0fc668d1-be78-4f87-9224-674df619a553' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fc668d1-be78-4f87-9224-674df619a553' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-708e33da-b229-479c-8dbf-43a89bacd037' class='xr-var-data-in' type='checkbox'><label for='data-708e33da-b229-479c-8dbf-43a89bacd037' 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>detail :</span></dt><dd>Cumulative percent of CO2 uptake, within a time step and distance to center</dd></dl></div><div class='xr-var-data'><table>\n",
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" <line x1=\"113\" y1=\"0\" x2=\"138\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"183\" y1=\"70\" x2=\"209\" y2=\"70\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"113\" y1=\"0\" x2=\"183\" y2=\"70\" style=\"stroke-width:2\" />\n",
" <line x1=\"138\" y1=\"0\" x2=\"209\" y2=\"70\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"113.0,0.0 138.41261651458248,0.0 209.00085180870013,70.58823529411765 183.58823529411765,70.58823529411765\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"183\" y1=\"70\" x2=\"209\" y2=\"70\" style=\"stroke-width:2\" />\n",
" <line x1=\"183\" y1=\"76\" x2=\"209\" y2=\"76\" />\n",
" <line x1=\"183\" y1=\"83\" x2=\"209\" y2=\"83\" />\n",
" <line x1=\"183\" y1=\"89\" x2=\"209\" y2=\"89\" />\n",
" <line x1=\"183\" y1=\"96\" x2=\"209\" y2=\"96\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"183\" y1=\"70\" x2=\"183\" y2=\"96\" style=\"stroke-width:2\" />\n",
" <line x1=\"209\" y1=\"70\" x2=\"209\" y2=\"96\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"183.58823529411765,70.58823529411765 209.00085180870013,70.58823529411765 209.00085180870013,96.00085180870013 183.58823529411765,96.00085180870013\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"196.294544\" y=\"116.000852\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n",
" <text x=\"229.000852\" y=\"83.294544\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,229.000852,83.294544)\">4</text>\n",
" <text x=\"138.294118\" y=\"80.706734\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,138.294118,80.706734)\">690</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-c88153a6-90af-4a7e-924a-c1c560ca46b8' class='xr-section-summary-in' type='checkbox' ><label for='section-c88153a6-90af-4a7e-924a-c1c560ca46b8' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>polygon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b0db381b-ed63-4471-ab7d-f7156f163fcd' class='xr-index-data-in' type='checkbox'/><label for='index-b0db381b-ed63-4471-ab7d-f7156f163fcd' 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, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 680, 681, 682, 683, 684, 685, 686, 687, 688, 689],\n",
" dtype=&#x27;int32&#x27;, name=&#x27;polygon&#x27;, length=690))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dd43a3c4-05e5-4cb3-8b62-a710c027f6a1' class='xr-index-data-in' type='checkbox'/><label for='index-dd43a3c4-05e5-4cb3-8b62-a710c027f6a1' 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([&#x27;Januaray&#x27;, &#x27;April&#x27;, &#x27;July&#x27;, &#x27;October&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</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-7d0a1cf2-9a7d-4725-9d92-a9778d9e87d1' class='xr-index-data-in' type='checkbox'/><label for='index-7d0a1cf2-9a7d-4725-9d92-a9778d9e87d1' 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, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 170, 171, 172, 173, 174, 175, 176, 177, 178, 179],\n",
" dtype=&#x27;int32&#x27;, name=&#x27;time&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dist2center</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-42fa8360-e719-42b9-abb7-6ece851b966d' class='xr-index-data-in' type='checkbox'/><label for='index-42fa8360-e719-42b9-abb7-6ece851b966d' 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([500000.0, 1000000.0, 2000000.0], dtype=&#x27;float32&#x27;, name=&#x27;dist2center&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac2db062-e674-4ebc-9278-460f40c13ee6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ac2db062-e674-4ebc-9278-460f40c13ee6' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset> Size: 6MB\n",
"Dimensions: (polygon: 690, season: 4, time: 180,\n",
" dist2center: 3)\n",
"Coordinates:\n",
" * polygon (polygon) int32 3kB 0 1 2 3 4 ... 686 687 688 689\n",
" * season (season) <U8 128B 'Januaray' ... 'October'\n",
" * time (time) int32 720B 0 1 2 3 4 ... 176 177 178 179\n",
" * dist2center (dist2center) float32 12B 5e+05 1e+06 2e+06\n",
"Data variables:\n",
" FG_CO2_percent_cumulative (time, polygon, season, dist2center) float32 6MB dask.array<chunksize=(180, 690, 1, 3), meta=np.ndarray>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#{500, 1000, 2000} km\n",
"values = np.array([500, 1000, 2000]) * 1_000 # conversion to meters\n",
"dset = dset.sel(dist2center=values, method='nearest')\n",
"\n",
"# time (180), polygon_id (690), season (1), dist2center (1)\n",
"dset = dset.transpose('time', 'polygon', 'season', 'dist2center').chunk({'time': -1, 'polygon': -1, 'season': 1, 'dist2center': -1})\n",
"dset"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "aaf64c9a-a855-4f8a-99e7-12c83eaa2462",
"metadata": {},
"outputs": [],
"source": [
"path = 's3://carbonplan-share/oae-efficiency/cumulative_FG_CO2_percent.zarr'"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "325b9f3b-67c3-41d3-a449-1f06ac45f965",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.backends.zarr.ZarrStore at 0x300102840>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dset.to_zarr(path, consolidated=True)"
]
}
],
"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": "3.10.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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