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{ | |
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"id": "8ea7daad-196a-4915-a30c-4f157e8fcbf8", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import xarray as xr\n", | |
"import dask" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"id": "f516e0c5-1da1-4717-a91a-805aeafe4387", | |
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"outputs": [ | |
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"data": { | |
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"'/global/cfs/projectdirs/m4746/Datasets/Ocean-CDR-Atlas-v0/DOR-Efficiency-Map/research-grade-compressed/000/01/*.nc'" | |
] | |
}, | |
"execution_count": 2, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"path = '/global/cfs/projectdirs/m4746/Datasets/Ocean-CDR-Atlas-v0/DOR-Efficiency-Map/research-grade-compressed/000/01/*.nc'\n", | |
"path" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"id": "c3f6c401-31df-43a5-ae8d-09b3c8a9ca01", | |
"metadata": {}, | |
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{ | |
"name": "stdout", | |
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"text": [ | |
"CPU times: user 9.43 s, sys: 855 ms, total: 10.3 s\n", | |
"Wall time: 19.9 s\n" | |
] | |
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"</style><pre class='xr-text-repr-fallback'><xarray.Dataset> Size: 82GB\n", | |
"Dimensions: (polygon_id: 1, injection_date: 1,\n", | |
" elapsed_time: 180, z_t: 60, nlat: 384,\n", | |
" nlon: 320, z_t_150m: 15, z_w: 60, z_w_top: 60,\n", | |
" z_w_bot: 60)\n", | |
"Coordinates: (12/63)\n", | |
" * z_t (z_t) float32 240B 500.0 1.5e+03 ... 5.375e+05\n", | |
" * z_t_150m (z_t_150m) float32 60B 500.0 ... 1.45e+04\n", | |
" * z_w (z_w) float32 240B 0.0 1e+03 ... 5e+05 5.25e+05\n", | |
" * z_w_top (z_w_top) float32 240B 0.0 1e+03 ... 5.25e+05\n", | |
" * z_w_bot (z_w_bot) float32 240B 1e+03 2e+03 ... 5.5e+05\n", | |
" dz (z_t) float32 240B dask.array<chunksize=(60,), meta=np.ndarray>\n", | |
" ... ...\n", | |
" nsurface_t float64 8B ...\n", | |
" nsurface_u float64 8B ...\n", | |
" area_m2 (nlat, nlon) float64 983kB dask.array<chunksize=(384, 320), meta=np.ndarray>\n", | |
" * polygon_id (polygon_id) int32 4B 0\n", | |
" * injection_date (injection_date) object 8B 1999-01-01 00:00:00\n", | |
" * elapsed_time (elapsed_time) timedelta64[ns] 1kB 0 days ......\n", | |
"Dimensions without coordinates: nlat, nlon\n", | |
"Data variables: (12/46)\n", | |
" CO3 (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" HCO3 (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" H2CO3 (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" pH_3D (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" CO3_ALT_CO2 (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" pH_3D_ALT_CO2 (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" ... ...\n", | |
" STF_ALK_ALT_CO2 (polygon_id, injection_date, elapsed_time, nlat, nlon) float32 88MB dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray>\n", | |
" IAGE (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" tend_zint_100m_DIC (polygon_id, injection_date, elapsed_time, nlat, nlon) float32 88MB dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray>\n", | |
" tend_zint_100m_DIC_ALT_CO2 (polygon_id, injection_date, elapsed_time, nlat, nlon) float32 88MB dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray>\n", | |
" tend_zint_100m_ALK (polygon_id, injection_date, elapsed_time, nlat, nlon) float32 88MB dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray>\n", | |
" tend_zint_100m_ALK_ALT_CO2 (polygon_id, injection_date, elapsed_time, nlat, nlon) float32 88MB dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray>\n", | |
"Attributes:\n", | |
" title: smyle.cdr-atlas-v0.glb-dor_North_Atlantic_basin_000_19...\n", | |
" history: none\n", | |
" Conventions: CF-1.0; http://www.cgd.ucar.edu/cms/eaton/netcdf/CF-cu...\n", | |
" time_period_freq: month_1\n", | |
" model_doi_url: https://doi.org/10.5065/D67H1H0V\n", | |
" contents: Diagnostic and Prognostic Variables\n", | |
" source: CCSM POP2, the CCSM Ocean Component\n", | |
" revision: $Id$\n", | |
" calendar: All years have exactly 365 days.\n", | |
" start_time: This dataset was created on 2024-11-04 at 21:08:03.3\n", | |
" cell_methods: cell_methods = time: mean ==> the variable values are ...</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-4525869d-d556-4732-bf7b-9fa87c929e18' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4525869d-d556-4732-bf7b-9fa87c929e18' 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_id</span>: 1</li><li><span class='xr-has-index'>injection_date</span>: 1</li><li><span class='xr-has-index'>elapsed_time</span>: 180</li><li><span class='xr-has-index'>z_t</span>: 60</li><li><span>nlat</span>: 384</li><li><span>nlon</span>: 320</li><li><span class='xr-has-index'>z_t_150m</span>: 15</li><li><span class='xr-has-index'>z_w</span>: 60</li><li><span class='xr-has-index'>z_w_top</span>: 60</li><li><span class='xr-has-index'>z_w_bot</span>: 60</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7acf6ade-01f6-4240-bf3b-d1fddd09e381' class='xr-section-summary-in' type='checkbox' ><label for='section-7acf6ade-01f6-4240-bf3b-d1fddd09e381' class='xr-section-summary' >Coordinates: <span>(63)</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'>z_t</span></div><div class='xr-var-dims'>(z_t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>500.0 1.5e+03 ... 5.375e+05</div><input id='attrs-ad6033f6-ea83-4da0-b43f-896ae3fbbaa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad6033f6-ea83-4da0-b43f-896ae3fbbaa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-363a3e93-a919-453b-8135-9f85d0de20bc' class='xr-var-data-in' type='checkbox'><label for='data-363a3e93-a919-453b-8135-9f85d0de20bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth from surface to midpoint of layer</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>500.0</dd><dt><span>valid_max :</span></dt><dd>537500.0</dd></dl></div><div class='xr-var-data'><pre>array([5.000000e+02, 1.500000e+03, 2.500000e+03, 3.500000e+03, 4.500000e+03,\n", | |
" 5.500000e+03, 6.500000e+03, 7.500000e+03, 8.500000e+03, 9.500000e+03,\n", | |
" 1.050000e+04, 1.150000e+04, 1.250000e+04, 1.350000e+04, 1.450000e+04,\n", | |
" 1.550000e+04, 1.650984e+04, 1.754790e+04, 1.862913e+04, 1.976603e+04,\n", | |
" 2.097114e+04, 2.225783e+04, 2.364088e+04, 2.513702e+04, 2.676542e+04,\n", | |
" 2.854837e+04, 3.051192e+04, 3.268680e+04, 3.510935e+04, 3.782276e+04,\n", | |
" 4.087846e+04, 4.433777e+04, 4.827367e+04, 5.277280e+04, 5.793729e+04,\n", | |
" 6.388626e+04, 7.075633e+04, 7.870025e+04, 8.788252e+04, 9.847059e+04,\n", | |
" 1.106204e+05, 1.244567e+05, 1.400497e+05, 1.573946e+05, 1.764003e+05,\n", | |
" 1.968944e+05, 2.186457e+05, 2.413972e+05, 2.649001e+05, 2.889385e+05,\n", | |
" 3.133405e+05, 3.379793e+05, 3.627670e+05, 3.876452e+05, 4.125768e+05,\n", | |
" 4.375392e+05, 4.625190e+05, 4.875083e+05, 5.125028e+05, 5.375000e+05],\n", | |
" dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_t_150m</span></div><div class='xr-var-dims'>(z_t_150m)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>500.0 1.5e+03 ... 1.35e+04 1.45e+04</div><input id='attrs-e7031bea-4da2-4d87-82b0-5695fc277a01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7031bea-4da2-4d87-82b0-5695fc277a01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fd0149d-18fa-4040-8f30-323d250dfa46' class='xr-var-data-in' type='checkbox'><label for='data-9fd0149d-18fa-4040-8f30-323d250dfa46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth from surface to midpoint of layer</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>500.0</dd><dt><span>valid_max :</span></dt><dd>14500.0</dd></dl></div><div class='xr-var-data'><pre>array([ 500., 1500., 2500., 3500., 4500., 5500., 6500., 7500., 8500.,\n", | |
" 9500., 10500., 11500., 12500., 13500., 14500.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_w</span></div><div class='xr-var-dims'>(z_w)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1e+03 2e+03 ... 5e+05 5.25e+05</div><input id='attrs-c4760e27-df9c-490d-9913-b633cf3486d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4760e27-df9c-490d-9913-b633cf3486d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe18eb8c-6949-44a9-bbaf-01e2689f9480' class='xr-var-data-in' type='checkbox'><label for='data-fe18eb8c-6949-44a9-bbaf-01e2689f9480' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth from surface to top of layer</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>525000.94</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1000. , 2000. , 3000. , 4000. , 5000. ,\n", | |
" 6000. , 7000. , 8000. , 9000. , 10000. , 11000. ,\n", | |
" 12000. , 13000. , 14000. , 15000. , 16000. , 17019.682,\n", | |
" 18076.129, 19182.125, 20349.932, 21592.344, 22923.312, 24358.453,\n", | |
" 25915.58 , 27615.26 , 29481.47 , 31542.373, 33831.227, 36387.473,\n", | |
" 39258.047, 42498.887, 46176.656, 50370.688, 55174.91 , 60699.668,\n", | |
" 67072.86 , 74439.805, 82960.695, 92804.35 , 104136.82 , 117104.016,\n", | |
" 131809.36 , 148290.08 , 166499.2 , 186301.44 , 207487.39 , 229803.9 ,\n", | |
" 252990.4 , 276809.84 , 301067.06 , 325613.84 , 350344.88 , 375189.2 ,\n", | |
" 400101.16 , 425052.47 , 450026.06 , 475012. , 500004.7 , 525000.94 ],\n", | |
" dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_w_top</span></div><div class='xr-var-dims'>(z_w_top)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1e+03 2e+03 ... 5e+05 5.25e+05</div><input id='attrs-7e80caae-e850-4ade-b130-02a53977a2bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e80caae-e850-4ade-b130-02a53977a2bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a878b4d9-f90c-49e3-8623-e6415cd22e65' class='xr-var-data-in' type='checkbox'><label for='data-a878b4d9-f90c-49e3-8623-e6415cd22e65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth from surface to top of layer</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>525000.94</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1000. , 2000. , 3000. , 4000. , 5000. ,\n", | |
" 6000. , 7000. , 8000. , 9000. , 10000. , 11000. ,\n", | |
" 12000. , 13000. , 14000. , 15000. , 16000. , 17019.682,\n", | |
" 18076.129, 19182.125, 20349.932, 21592.344, 22923.312, 24358.453,\n", | |
" 25915.58 , 27615.26 , 29481.47 , 31542.373, 33831.227, 36387.473,\n", | |
" 39258.047, 42498.887, 46176.656, 50370.688, 55174.91 , 60699.668,\n", | |
" 67072.86 , 74439.805, 82960.695, 92804.35 , 104136.82 , 117104.016,\n", | |
" 131809.36 , 148290.08 , 166499.2 , 186301.44 , 207487.39 , 229803.9 ,\n", | |
" 252990.4 , 276809.84 , 301067.06 , 325613.84 , 350344.88 , 375189.2 ,\n", | |
" 400101.16 , 425052.47 , 450026.06 , 475012. , 500004.7 , 525000.94 ],\n", | |
" dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_w_bot</span></div><div class='xr-var-dims'>(z_w_bot)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 2e+03 ... 5.25e+05 5.5e+05</div><input id='attrs-6fddd8d3-3eb4-4500-b2a7-c443db1b3e4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fddd8d3-3eb4-4500-b2a7-c443db1b3e4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74c98ce7-2a26-4654-a747-b51179ab14b3' class='xr-var-data-in' type='checkbox'><label for='data-74c98ce7-2a26-4654-a747-b51179ab14b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth from surface to bottom of layer</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>1000.0</dd><dt><span>valid_max :</span></dt><dd>549999.06</dd></dl></div><div class='xr-var-data'><pre>array([ 1000. , 2000. , 3000. , 4000. , 5000. , 6000. ,\n", | |
" 7000. , 8000. , 9000. , 10000. , 11000. , 12000. ,\n", | |
" 13000. , 14000. , 15000. , 16000. , 17019.682, 18076.129,\n", | |
" 19182.125, 20349.932, 21592.344, 22923.312, 24358.453, 25915.58 ,\n", | |
" 27615.26 , 29481.47 , 31542.373, 33831.227, 36387.473, 39258.047,\n", | |
" 42498.887, 46176.656, 50370.688, 55174.91 , 60699.668, 67072.86 ,\n", | |
" 74439.805, 82960.695, 92804.35 , 104136.82 , 117104.016, 131809.36 ,\n", | |
" 148290.08 , 166499.2 , 186301.44 , 207487.39 , 229803.9 , 252990.4 ,\n", | |
" 276809.84 , 301067.06 , 325613.84 , 350344.88 , 375189.2 , 400101.16 ,\n", | |
" 425052.47 , 450026.06 , 475012. , 500004.7 , 525000.94 , 549999.06 ],\n", | |
" dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dz</span></div><div class='xr-var-dims'>(z_t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(60,), meta=np.ndarray></div><input id='attrs-ed0d38c2-78b1-4def-b115-3b017d47c97f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed0d38c2-78b1-4def-b115-3b017d47c97f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74fbdb04-b0c0-44a0-a36f-4542ab0fe6fb' class='xr-var-data-in' type='checkbox'><label for='data-74fbdb04-b0c0-44a0-a36f-4542ab0fe6fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>thickness of layer k</dd><dt><span>units :</span></dt><dd>centimeters</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 B </td>\n", | |
" <td> 240 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (60,) </td>\n", | |
" <td> (60,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </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=\"170\" height=\"78\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"28\" x2=\"120\" y2=\"28\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"28\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"28\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 120.0,0.0 120.0,28.02293761910704 0.0,28.02293761910704\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"60.000000\" y=\"48.022938\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >60</text>\n", | |
" <text x=\"140.000000\" y=\"14.011469\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,14.011469)\">1</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dzw</span></div><div class='xr-var-dims'>(z_w)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(60,), meta=np.ndarray></div><input id='attrs-55c8063b-d9b5-43c4-b87e-b9826aa5823c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55c8063b-d9b5-43c4-b87e-b9826aa5823c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22f7c3f2-2016-4f2c-99a3-f7d1889e51a7' class='xr-var-data-in' type='checkbox'><label for='data-22f7c3f2-2016-4f2c-99a3-f7d1889e51a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>midpoint of k to midpoint of k+1</dd><dt><span>units :</span></dt><dd>centimeters</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 B </td>\n", | |
" <td> 240 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (60,) </td>\n", | |
" <td> (60,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </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=\"170\" height=\"78\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"28\" x2=\"120\" y2=\"28\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"28\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"28\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 120.0,0.0 120.0,28.02293761910704 0.0,28.02293761910704\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"60.000000\" y=\"48.022938\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >60</text>\n", | |
" <text x=\"140.000000\" y=\"14.011469\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,14.011469)\">1</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-2d1f7696-836d-4ac5-8445-e464cf565d3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d1f7696-836d-4ac5-8445-e464cf565d3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-010fa946-b7a0-4e88-a808-4257d688e60c' class='xr-var-data-in' type='checkbox'><label for='data-010fa946-b7a0-4e88-a808-4257d688e60c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>array of u-grid longitudes</dd><dt><span>units :</span></dt><dd>degrees_east</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
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" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
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" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-a2a003be-d763-42a1-9fa5-db5d07bf6cb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2a003be-d763-42a1-9fa5-db5d07bf6cb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f32e9908-d4a6-4867-b96c-954a1e79c6c0' class='xr-var-data-in' type='checkbox'><label for='data-f32e9908-d4a6-4867-b96c-954a1e79c6c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>array of u-grid latitudes</dd><dt><span>units :</span></dt><dd>degrees_north</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
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" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
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" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-413fdc30-39af-4334-94e0-6fb0966d936b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-413fdc30-39af-4334-94e0-6fb0966d936b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d9e7926-fe76-4ab2-9f75-34ead4943bdb' class='xr-var-data-in' type='checkbox'><label for='data-5d9e7926-fe76-4ab2-9f75-34ead4943bdb' 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>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>T-grid longitude</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
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" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
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" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-ae88ca53-ec7c-4898-bc9e-f1d028597b87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae88ca53-ec7c-4898-bc9e-f1d028597b87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58780c76-0b80-4b68-87de-01dd68fe8434' class='xr-var-data-in' type='checkbox'><label for='data-58780c76-0b80-4b68-87de-01dd68fe8434' 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>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>T-grid latitude</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
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" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KMT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-d930dc31-d4a4-40e8-aabd-98b82decb7b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d930dc31-d4a4-40e8-aabd-98b82decb7b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54a05cb1-c6d4-4b75-96bd-f6cb8fedbd29' class='xr-var-data-in' type='checkbox'><label for='data-54a05cb1-c6d4-4b75-96bd-f6cb8fedbd29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>k Index of Deepest Grid Cell on T Grid</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
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" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KMU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-eba19962-704e-4dda-93b2-163816f7e616' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eba19962-704e-4dda-93b2-163816f7e616' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-987d63a2-6558-4f44-a982-bf657f91a4aa' class='xr-var-data-in' type='checkbox'><label for='data-987d63a2-6558-4f44-a982-bf657f91a4aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>k Index of Deepest Grid Cell on U Grid</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
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" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
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" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
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" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>REGION_MASK</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-2954f4f6-f2a2-4482-9fac-0e48f0856e08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2954f4f6-f2a2-4482-9fac-0e48f0856e08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5da54392-e7fb-4bb5-872f-a5303820f87f' class='xr-var-data-in' type='checkbox'><label for='data-5da54392-e7fb-4bb5-872f-a5303820f87f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>basin index number (signed integers)</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
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" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UAREA</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-e0fc6af7-47c0-4765-8877-d66fa344d82e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0fc6af7-47c0-4765-8877-d66fa344d82e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d90a586-ce21-40cc-a763-96f658c350e2' class='xr-var-data-in' type='checkbox'><label for='data-0d90a586-ce21-40cc-a763-96f658c350e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>area of U cells</dd><dt><span>units :</span></dt><dd>centimeter^2</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TAREA</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-02bfe49d-0075-4ab1-a01c-addb760cbf2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02bfe49d-0075-4ab1-a01c-addb760cbf2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecb3aff8-7690-4e96-87a5-f0dc0e1d5577' class='xr-var-data-in' type='checkbox'><label for='data-ecb3aff8-7690-4e96-87a5-f0dc0e1d5577' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>area of T cells</dd><dt><span>units :</span></dt><dd>centimeter^2</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-147bf9a4-9ce6-4f69-94fb-3f98ecb2f6aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-147bf9a4-9ce6-4f69-94fb-3f98ecb2f6aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-836c026c-27f2-4c4a-8da9-707bf2116bca' class='xr-var-data-in' type='checkbox'><label for='data-836c026c-27f2-4c4a-8da9-707bf2116bca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocean depth at U points</dd><dt><span>units :</span></dt><dd>centimeter</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-2ad24a90-184e-43c8-ae61-61cb0a4f02bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ad24a90-184e-43c8-ae61-61cb0a4f02bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33fd4fc1-7b92-4b09-8b43-a27b65355f63' class='xr-var-data-in' type='checkbox'><label for='data-33fd4fc1-7b92-4b09-8b43-a27b65355f63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocean depth at T points</dd><dt><span>units :</span></dt><dd>centimeter</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
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" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DXU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-a15ab674-9728-4666-86f2-c2e88481c9a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a15ab674-9728-4666-86f2-c2e88481c9a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88f95f5e-efbe-4992-8880-ea3d9223748e' class='xr-var-data-in' type='checkbox'><label for='data-88f95f5e-efbe-4992-8880-ea3d9223748e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x-spacing centered at U points</dd><dt><span>units :</span></dt><dd>centimeters</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
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" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DYU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-d3b9ca45-6c5f-449e-bcec-c976f58c4190' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3b9ca45-6c5f-449e-bcec-c976f58c4190' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd36eaa5-1c4e-4e3a-b81d-2746b7a6a96e' class='xr-var-data-in' type='checkbox'><label for='data-dd36eaa5-1c4e-4e3a-b81d-2746b7a6a96e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y-spacing centered at U points</dd><dt><span>units :</span></dt><dd>centimeters</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
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" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
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" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DXT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-1bf48c85-debb-4a5f-95d3-2bb0829d46d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bf48c85-debb-4a5f-95d3-2bb0829d46d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c77faf13-7300-42be-a46a-8d74f05570a8' class='xr-var-data-in' type='checkbox'><label for='data-c77faf13-7300-42be-a46a-8d74f05570a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x-spacing centered at T points</dd><dt><span>units :</span></dt><dd>centimeters</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
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" <!-- Text -->\n", | |
" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DYT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-0a0eb2de-c7ca-4739-98ed-2ba71d7b41f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a0eb2de-c7ca-4739-98ed-2ba71d7b41f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f52bf6b6-2148-4ec7-84c7-7ab1d175828b' class='xr-var-data-in' type='checkbox'><label for='data-f52bf6b6-2148-4ec7-84c7-7ab1d175828b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y-spacing centered at T points</dd><dt><span>units :</span></dt><dd>centimeters</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HTN</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-78e31571-50f1-4847-a8a7-e8a87a766ec7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78e31571-50f1-4847-a8a7-e8a87a766ec7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9094c8c1-939c-43f2-ab8a-8dd888d4aba5' class='xr-var-data-in' type='checkbox'><label for='data-9094c8c1-939c-43f2-ab8a-8dd888d4aba5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cell widths on North sides of T cell</dd><dt><span>units :</span></dt><dd>centimeters</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HTE</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-d8164599-2c5a-419f-b8d3-d9782fb1ec07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8164599-2c5a-419f-b8d3-d9782fb1ec07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a1a4421-d50c-4a81-9371-f31aa74fbaef' class='xr-var-data-in' type='checkbox'><label for='data-0a1a4421-d50c-4a81-9371-f31aa74fbaef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cell widths on East sides of T cell</dd><dt><span>units :</span></dt><dd>centimeters</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HUS</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-9a3844b1-125e-41e3-9791-813883a52841' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a3844b1-125e-41e3-9791-813883a52841' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38e55a5c-2c69-4b34-9eab-ea85d082fa9e' class='xr-var-data-in' type='checkbox'><label for='data-38e55a5c-2c69-4b34-9eab-ea85d082fa9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cell widths on South sides of U cell</dd><dt><span>units :</span></dt><dd>centimeters</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HUW</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-f01f1013-34a4-4ad9-a278-ae0224ae3ca9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f01f1013-34a4-4ad9-a278-ae0224ae3ca9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73ea8d03-67c0-4bf6-ab85-bf4aee22c053' class='xr-var-data-in' type='checkbox'><label for='data-73ea8d03-67c0-4bf6-ab85-bf4aee22c053' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cell widths on West sides of U cell</dd><dt><span>units :</span></dt><dd>centimeters</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ANGLE</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-8594c30d-bdc3-4af6-95ba-82dff1659fd9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8594c30d-bdc3-4af6-95ba-82dff1659fd9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35522188-a9fa-461f-a165-bd391fbaff35' class='xr-var-data-in' type='checkbox'><label for='data-35522188-a9fa-461f-a165-bd391fbaff35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>angle grid makes with latitude line</dd><dt><span>units :</span></dt><dd>radians</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ANGLET</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-37e70d6a-19d2-4b53-b2c7-fa0c3b2791f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37e70d6a-19d2-4b53-b2c7-fa0c3b2791f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f9f4552-e43a-4d8e-ba3d-bc386ad768a2' class='xr-var-data-in' type='checkbox'><label for='data-3f9f4552-e43a-4d8e-ba3d-bc386ad768a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>angle grid makes with latitude line on T grid</dd><dt><span>units :</span></dt><dd>radians</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>days_in_norm_year</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-13445fbc-fb05-4cce-ac4d-19635acfe138' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13445fbc-fb05-4cce-ac4d-19635acfe138' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e291e5e-c27f-4d0a-b112-75ec08b04693' class='xr-var-data-in' type='checkbox'><label for='data-2e291e5e-c27f-4d0a-b112-75ec08b04693' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Calendar Length</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grav</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a10613ab-0373-4f8a-afe3-758b2efe01b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a10613ab-0373-4f8a-afe3-758b2efe01b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f37c20d0-2083-4f95-bbaa-2dd470efc75c' class='xr-var-data-in' type='checkbox'><label for='data-f37c20d0-2083-4f95-bbaa-2dd470efc75c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Acceleration Due to Gravity</dd><dt><span>units :</span></dt><dd>centimeter/s^2</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>omega</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2dae0dab-db7c-4e7f-9d66-27eab703535e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2dae0dab-db7c-4e7f-9d66-27eab703535e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e0a9bec-9b9c-4899-948b-98bb4ceadd59' class='xr-var-data-in' type='checkbox'><label for='data-6e0a9bec-9b9c-4899-948b-98bb4ceadd59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Earths Angular Velocity</dd><dt><span>units :</span></dt><dd>1/second</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radius</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-672022af-902e-40f2-a7ab-014a3ccc1947' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-672022af-902e-40f2-a7ab-014a3ccc1947' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9b14f82-a8fa-4fab-bb46-fefbf8bdf49a' class='xr-var-data-in' type='checkbox'><label for='data-c9b14f82-a8fa-4fab-bb46-fefbf8bdf49a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Earths Radius</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cp_sw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d5f505e8-80a3-4891-b7ef-2f1a1135a08d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5f505e8-80a3-4891-b7ef-2f1a1135a08d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48eb259e-e98a-44c4-a45b-250d11fafe79' class='xr-var-data-in' type='checkbox'><label for='data-48eb259e-e98a-44c4-a45b-250d11fafe79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Specific Heat of Sea Water</dd><dt><span>units :</span></dt><dd>erg/g/K</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2aee3bb5-c91b-4564-9d18-48451b6b5f5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2aee3bb5-c91b-4564-9d18-48451b6b5f5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d2f9229-59b5-4329-bf32-00aedecd1805' class='xr-var-data-in' type='checkbox'><label for='data-5d2f9229-59b5-4329-bf32-00aedecd1805' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>units :</span></dt><dd>centimeter/s</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vonkar</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4deab66-964e-4a33-80fd-5cd3f9a97c32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4deab66-964e-4a33-80fd-5cd3f9a97c32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ae217ca-743a-4680-b6c6-f55c1a64e78c' class='xr-var-data-in' type='checkbox'><label for='data-8ae217ca-743a-4680-b6c6-f55c1a64e78c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>von Karman Constant</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cp_air</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-995d0d93-309f-430b-a4a1-3de031589c72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-995d0d93-309f-430b-a4a1-3de031589c72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42ac5b09-c35c-4238-b3a1-3a0ac5f287eb' class='xr-var-data-in' type='checkbox'><label for='data-42ac5b09-c35c-4238-b3a1-3a0ac5f287eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Heat Capacity of Air</dd><dt><span>units :</span></dt><dd>joule/kg/degK</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_air</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-603240be-5851-4755-bf32-cec68a72d96f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-603240be-5851-4755-bf32-cec68a72d96f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7499ac93-5d75-48ce-8e64-bf095e9d82d4' class='xr-var-data-in' type='checkbox'><label for='data-7499ac93-5d75-48ce-8e64-bf095e9d82d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ambient Air Density</dd><dt><span>units :</span></dt><dd>kg/m^3</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_sw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ba05d60-5a35-4230-b3d1-bb4c59a7a610' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ba05d60-5a35-4230-b3d1-bb4c59a7a610' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-568d9eac-33bb-43d8-b353-0af0603271aa' class='xr-var-data-in' type='checkbox'><label for='data-568d9eac-33bb-43d8-b353-0af0603271aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Density of Sea Water</dd><dt><span>units :</span></dt><dd>gram/centimeter^3</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_fw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4fd08ad-31f8-431f-9f75-8ab54eeb2f4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4fd08ad-31f8-431f-9f75-8ab54eeb2f4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07790567-2d40-43ba-a03a-c4a426186d24' class='xr-var-data-in' type='checkbox'><label for='data-07790567-2d40-43ba-a03a-c4a426186d24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Density of Fresh Water</dd><dt><span>units :</span></dt><dd>gram/centimeter^3</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stefan_boltzmann</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d530bf0d-8e83-4ce1-87f6-0676c9fabb92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d530bf0d-8e83-4ce1-87f6-0676c9fabb92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ede5ce3-3872-4d3d-882b-ffe0cab67eec' class='xr-var-data-in' type='checkbox'><label for='data-1ede5ce3-3872-4d3d-882b-ffe0cab67eec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Stefan-Boltzmann Constant</dd><dt><span>units :</span></dt><dd>watt/m^2/degK^4</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latent_heat_vapor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d93b882f-df77-4eed-ad88-40c92f2a0c5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d93b882f-df77-4eed-ad88-40c92f2a0c5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9be0092-1a2e-437f-b0cf-77e77d7bc86f' class='xr-var-data-in' type='checkbox'><label for='data-b9be0092-1a2e-437f-b0cf-77e77d7bc86f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latent Heat of Vaporization</dd><dt><span>units :</span></dt><dd>J/kg</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latent_heat_fusion</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f883f34c-20f9-4d13-ad6a-e81ba44874c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f883f34c-20f9-4d13-ad6a-e81ba44874c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72ba9283-b483-4050-a761-0ed13767df14' class='xr-var-data-in' type='checkbox'><label for='data-72ba9283-b483-4050-a761-0ed13767df14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latent Heat of Fusion</dd><dt><span>units :</span></dt><dd>erg/g</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latent_heat_fusion_mks</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7429037e-a9ec-4db0-ab1a-7a45bee891ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7429037e-a9ec-4db0-ab1a-7a45bee891ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7171e88e-c661-4126-aeec-536b60f91ab4' class='xr-var-data-in' type='checkbox'><label for='data-7171e88e-c661-4126-aeec-536b60f91ab4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latent Heat of Fusion</dd><dt><span>units :</span></dt><dd>J/kg</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocn_ref_salinity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-035012d3-cb32-4caa-bfd6-6526ca2bc95a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-035012d3-cb32-4caa-bfd6-6526ca2bc95a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2ad03ce-dcfd-40b1-bd01-ca0bad42690d' class='xr-var-data-in' type='checkbox'><label for='data-f2ad03ce-dcfd-40b1-bd01-ca0bad42690d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ocean Reference Salinity</dd><dt><span>units :</span></dt><dd>g/kg</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_salinity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f8383b3-09b8-447f-b6b9-b4f89886d404' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f8383b3-09b8-447f-b6b9-b4f89886d404' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66ac9300-ecc2-4e2b-a13a-d98f1dae07e6' class='xr-var-data-in' type='checkbox'><label for='data-66ac9300-ecc2-4e2b-a13a-d98f1dae07e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Salinity of Sea Ice</dd><dt><span>units :</span></dt><dd>g/kg</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T0_Kelvin</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b1309072-84b3-43cc-a5b5-7ebd3b330a74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1309072-84b3-43cc-a5b5-7ebd3b330a74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79ba55d6-1c11-42a5-9dd6-a94cfbeec3bf' class='xr-var-data-in' type='checkbox'><label for='data-79ba55d6-1c11-42a5-9dd6-a94cfbeec3bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Zero Point for Celsius</dd><dt><span>units :</span></dt><dd>degK</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_ppt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4da6ee7f-6767-4910-97fd-b871c245d1c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4da6ee7f-6767-4910-97fd-b871c245d1c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-427c1b30-5c48-4894-9c3a-9056ff7262de' class='xr-var-data-in' type='checkbox'><label for='data-427c1b30-5c48-4894-9c3a-9056ff7262de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convert Salt in gram/gram to g/kg</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ppt_to_salt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5252ced5-f2a7-42e4-908d-4ffe578e0f9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5252ced5-f2a7-42e4-908d-4ffe578e0f9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-812af425-5e4c-4e18-b21a-7c7cff2f70a6' class='xr-var-data-in' type='checkbox'><label for='data-812af425-5e4c-4e18-b21a-7c7cff2f70a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convert Salt in g/kg to gram/gram</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mass_to_Sv</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3234f9ec-5436-495d-982e-7671ace380e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3234f9ec-5436-495d-982e-7671ace380e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c9fd11e-f460-4056-8ca0-cd64566d9d8a' class='xr-var-data-in' type='checkbox'><label for='data-7c9fd11e-f460-4056-8ca0-cd64566d9d8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convert Mass Flux to Sverdrups</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_to_PW</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e05bc99b-ed81-442b-9dd5-d16483db2601' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e05bc99b-ed81-442b-9dd5-d16483db2601' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b3bcc66-4fb5-483c-a376-2ac91719e0e1' class='xr-var-data-in' type='checkbox'><label for='data-2b3bcc66-4fb5-483c-a376-2ac91719e0e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convert Heat Flux to Petawatts</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_Svppt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a23ea494-c045-4b06-b1a3-b8fe3de3ee88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a23ea494-c045-4b06-b1a3-b8fe3de3ee88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b768394-6117-447e-8473-495c4e565454' class='xr-var-data-in' type='checkbox'><label for='data-0b768394-6117-447e-8473-495c4e565454' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convert Salt Flux to Sverdrups*g/kg</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_mmday</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0cbbe646-655b-4aba-8dc6-f1947234bc4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cbbe646-655b-4aba-8dc6-f1947234bc4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a09a88e4-dd87-43d8-9a99-ccd8904668b5' class='xr-var-data-in' type='checkbox'><label for='data-a09a88e4-dd87-43d8-9a99-ccd8904668b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convert Salt to Water (millimeters/day)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>momentum_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-821f2ff9-887d-454c-a88d-d2db7f6872da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-821f2ff9-887d-454c-a88d-d2db7f6872da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-141cbc71-263a-4ad5-85d6-646ffc715f37' class='xr-var-data-in' type='checkbox'><label for='data-141cbc71-263a-4ad5-85d6-646ffc715f37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convert Windstress to Velocity Flux</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6c0f2bb3-9d09-4230-a334-1e0ee434ae40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c0f2bb3-9d09-4230-a334-1e0ee434ae40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0741c325-7c86-4dc8-9e87-228f9206b0d4' class='xr-var-data-in' type='checkbox'><label for='data-0741c325-7c86-4dc8-9e87-228f9206b0d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convert Heat and Solar Flux to Temperature Flux</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d60c1e0e-3939-4974-83af-9ed7321ea612' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d60c1e0e-3939-4974-83af-9ed7321ea612' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfedbb00-9fcd-4b6a-a138-bd206a937341' class='xr-var-data-in' type='checkbox'><label for='data-bfedbb00-9fcd-4b6a-a138-bd206a937341' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convert Net Fresh Water Flux to Salt Flux (in model units)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2a46ccf6-b0dc-449e-a6ef-d5825dd6cd7f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a46ccf6-b0dc-449e-a6ef-d5825dd6cd7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4aefe71-fb0a-46b9-9e70-3115597a678f' class='xr-var-data-in' type='checkbox'><label for='data-d4aefe71-fb0a-46b9-9e70-3115597a678f' 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>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4879240-1d31-4d93-8ee2-93a1b8df0b6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4879240-1d31-4d93-8ee2-93a1b8df0b6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dac203f-217f-43f3-9e6c-2ab27c475b34' class='xr-var-data-in' type='checkbox'><label for='data-0dac203f-217f-43f3-9e6c-2ab27c475b34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convert Salt Flux to Salt Flux (in model units)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsurface_t</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e1697225-6c23-4505-96f9-f7f1a6dfdc65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1697225-6c23-4505-96f9-f7f1a6dfdc65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1149452b-797f-4363-b8e5-6c3fbd41f3b7' class='xr-var-data-in' type='checkbox'><label for='data-1149452b-797f-4363-b8e5-6c3fbd41f3b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Number of Ocean T Points at Surface</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsurface_u</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69a0d15a-e938-4c24-96fc-ad43c4641f6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69a0d15a-e938-4c24-96fc-ad43c4641f6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e339e2d6-8359-43f6-bcc6-0fd096d559a1' class='xr-var-data-in' type='checkbox'><label for='data-e339e2d6-8359-43f6-bcc6-0fd096d559a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Number of Ocean U Points at Surface</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>area_m2</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(384, 320), meta=np.ndarray></div><input id='attrs-4c50538d-4b27-4398-b31c-db6c10652919' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c50538d-4b27-4398-b31c-db6c10652919' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cc7a087-9648-445c-8097-970a25fc3229' class='xr-var-data-in' type='checkbox'><label for='data-3cc7a087-9648-445c-8097-970a25fc3229' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>area of T cells</dd><dt><span>units :</span></dt><dd>m^2</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> 0.94 MiB </td>\n", | |
" <td> 0.94 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (384, 320) </td>\n", | |
" <td> (384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"150\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"100\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"120\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 100.0,0.0 100.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"50.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n", | |
" <text x=\"120.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,120.000000,60.000000)\">384</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>polygon_id</span></div><div class='xr-var-dims'>(polygon_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-70ee6c8b-ff9d-40d5-97fa-c7c1f5b21542' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70ee6c8b-ff9d-40d5-97fa-c7c1f5b21542' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb715898-6b9a-40a9-9049-302dffd36816' class='xr-var-data-in' type='checkbox'><label for='data-eb715898-6b9a-40a9-9049-302dffd36816' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>polygon ID</dd></dl></div><div class='xr-var-data'><pre>array([0], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>injection_date</span></div><div class='xr-var-dims'>(injection_date)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1999-01-01 00:00:00</div><input id='attrs-4511a8f5-d735-43fc-a77a-dfe0a3dcbcc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4511a8f5-d735-43fc-a77a-dfe0a3dcbcc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f842224f-a86c-4ef6-865c-e294a6411e14' class='xr-var-data-in' type='checkbox'><label for='data-f842224f-a86c-4ef6-865c-e294a6411e14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>injection date</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1999, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n", | |
" dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>elapsed_time</span></div><div class='xr-var-dims'>(elapsed_time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>0 days 31 days ... 5444 days</div><input id='attrs-ccfd93ac-8f99-493c-9592-91016de1b028' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ccfd93ac-8f99-493c-9592-91016de1b028' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31683365-efa4-4359-9f5e-a6bc1cf6bd91' class='xr-var-data-in' type='checkbox'><label for='data-31683365-efa4-4359-9f5e-a6bc1cf6bd91' 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, 2678400000000000, 5097600000000000,\n", | |
" 7776000000000000, 10368000000000000, 13046400000000000,\n", | |
" 15638400000000000, 18316800000000000, 20995200000000000,\n", | |
" 23587200000000000, 26265600000000000, 28857600000000000,\n", | |
" 31536000000000000, 34214400000000000, 36633600000000000,\n", | |
" 39312000000000000, 41904000000000000, 44582400000000000,\n", | |
" 47174400000000000, 49852800000000000, 52531200000000000,\n", | |
" 55123200000000000, 57801600000000000, 60393600000000000,\n", | |
" 63072000000000000, 65750400000000000, 68169600000000000,\n", | |
" 70848000000000000, 73440000000000000, 76118400000000000,\n", | |
" 78710400000000000, 81388800000000000, 84067200000000000,\n", | |
" 86659200000000000, 89337600000000000, 91929600000000000,\n", | |
" 94608000000000000, 97286400000000000, 99705600000000000,\n", | |
" 102384000000000000, 104976000000000000, 107654400000000000,\n", | |
" 110246400000000000, 112924800000000000, 115603200000000000,\n", | |
" 118195200000000000, 120873600000000000, 123465600000000000,\n", | |
" 126144000000000000, 128822400000000000, 131241600000000000,\n", | |
" 133920000000000000, 136512000000000000, 139190400000000000,\n", | |
" 141782400000000000, 144460800000000000, 147139200000000000,\n", | |
" 149731200000000000, 152409600000000000, 155001600000000000,\n", | |
" 157680000000000000, 160358400000000000, 162777600000000000,\n", | |
" 165456000000000000, 168048000000000000, 170726400000000000,\n", | |
" 173318400000000000, 175996800000000000, 178675200000000000,\n", | |
" 181267200000000000, 183945600000000000, 186537600000000000,\n", | |
" 189216000000000000, 191894400000000000, 194313600000000000,\n", | |
" 196992000000000000, 199584000000000000, 202262400000000000,\n", | |
" 204854400000000000, 207532800000000000, 210211200000000000,\n", | |
" 212803200000000000, 215481600000000000, 218073600000000000,\n", | |
" 220752000000000000, 223430400000000000, 225849600000000000,\n", | |
" 228528000000000000, 231120000000000000, 233798400000000000,\n", | |
" 236390400000000000, 239068800000000000, 241747200000000000,\n", | |
" 244339200000000000, 247017600000000000, 249609600000000000,\n", | |
" 252288000000000000, 254966400000000000, 257385600000000000,\n", | |
" 260064000000000000, 262656000000000000, 265334400000000000,\n", | |
" 267926400000000000, 270604800000000000, 273283200000000000,\n", | |
" 275875200000000000, 278553600000000000, 281145600000000000,\n", | |
" 283824000000000000, 286502400000000000, 288921600000000000,\n", | |
" 291600000000000000, 294192000000000000, 296870400000000000,\n", | |
" 299462400000000000, 302140800000000000, 304819200000000000,\n", | |
" 307411200000000000, 310089600000000000, 312681600000000000,\n", | |
" 315360000000000000, 318038400000000000, 320457600000000000,\n", | |
" 323136000000000000, 325728000000000000, 328406400000000000,\n", | |
" 330998400000000000, 333676800000000000, 336355200000000000,\n", | |
" 338947200000000000, 341625600000000000, 344217600000000000,\n", | |
" 346896000000000000, 349574400000000000, 351993600000000000,\n", | |
" 354672000000000000, 357264000000000000, 359942400000000000,\n", | |
" 362534400000000000, 365212800000000000, 367891200000000000,\n", | |
" 370483200000000000, 373161600000000000, 375753600000000000,\n", | |
" 378432000000000000, 381110400000000000, 383529600000000000,\n", | |
" 386208000000000000, 388800000000000000, 391478400000000000,\n", | |
" 394070400000000000, 396748800000000000, 399427200000000000,\n", | |
" 402019200000000000, 404697600000000000, 407289600000000000,\n", | |
" 409968000000000000, 412646400000000000, 415065600000000000,\n", | |
" 417744000000000000, 420336000000000000, 423014400000000000,\n", | |
" 425606400000000000, 428284800000000000, 430963200000000000,\n", | |
" 433555200000000000, 436233600000000000, 438825600000000000,\n", | |
" 441504000000000000, 444182400000000000, 446601600000000000,\n", | |
" 449280000000000000, 451872000000000000, 454550400000000000,\n", | |
" 457142400000000000, 459820800000000000, 462499200000000000,\n", | |
" 465091200000000000, 467769600000000000, 470361600000000000],\n", | |
" dtype='timedelta64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-01b97c53-15e7-4070-8caa-fd8d530e621c' class='xr-section-summary-in' type='checkbox' ><label for='section-01b97c53-15e7-4070-8caa-fd8d530e621c' class='xr-section-summary' >Data variables: <span>(46)</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>CO3</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-ba924970-245d-4d74-b75f-03905046d33e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba924970-245d-4d74-b75f-03905046d33e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d66c9810-7378-4add-be0e-2d3ee099e80d' class='xr-var-data-in' type='checkbox'><label for='data-d66c9810-7378-4add-be0e-2d3ee099e80d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Carbonate Ion Concentration</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 60, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </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=\"476\" height=\"194\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCO3</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-6fe19c34-3ac7-4426-a908-51b10b4ab3f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fe19c34-3ac7-4426-a908-51b10b4ab3f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22b13334-fd0e-4b51-b861-b708fb7f9692' class='xr-var-data-in' type='checkbox'><label for='data-22b13334-fd0e-4b51-b861-b708fb7f9692' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bicarbonate Ion Concentration</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 60, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </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", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2CO3</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-6c544abc-d9a2-4ee3-9c8f-e08e55dd73ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c544abc-d9a2-4ee3-9c8f-e08e55dd73ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28ed4a0a-ea9d-4ff1-850f-34eca4a5e86c' class='xr-var-data-in' type='checkbox'><label for='data-28ed4a0a-ea9d-4ff1-850f-34eca4a5e86c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Carbonic Acid Concentration</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
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" <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> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 60, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pH_3D</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-cc3e4b94-ffe0-4eb3-89e6-0489a8f8185a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc3e4b94-ffe0-4eb3-89e6-0489a8f8185a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f196b5a-c8ca-4e36-b415-4f5ea183589c' class='xr-var-data-in' type='checkbox'><label for='data-2f196b5a-c8ca-4e36-b415-4f5ea183589c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pH</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
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" <tr>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 60, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO3_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-420734ba-3484-49c4-87ea-465405b2e3d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-420734ba-3484-49c4-87ea-465405b2e3d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33062d18-f902-4e00-a897-90bd0d90848d' class='xr-var-data-in' type='checkbox'><label for='data-33062d18-f902-4e00-a897-90bd0d90848d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Carbonate Ion Concentration, Alternative CO2</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pH_3D_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-8648ad7e-20f2-49ba-b4e2-74fcac4e0386' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8648ad7e-20f2-49ba-b4e2-74fcac4e0386' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d05ce22c-74b1-42d6-ba53-0b678dad7dc4' class='xr-var-data-in' type='checkbox'><label for='data-d05ce22c-74b1-42d6-ba53-0b678dad7dc4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pH, Alternative CO2</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <th> Bytes </th>\n", | |
" <td> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
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" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>co3_sat_calc</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-2e23b315-f00f-48b5-b705-ae81a367815d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e23b315-f00f-48b5-b705-ae81a367815d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-012f5e87-808b-4e25-aade-047f0d6f6046' class='xr-var-data-in' type='checkbox'><label for='data-012f5e87-808b-4e25-aade-047f0d6f6046' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO3 concentration at calcite saturation</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
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" <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> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 60, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>co3_sat_arag</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-086237f5-ad23-4b5e-8479-0771924feabf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-086237f5-ad23-4b5e-8479-0771924feabf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b9df06a-1e33-40c1-b474-0a12e4972a42' class='xr-var-data-in' type='checkbox'><label for='data-1b9df06a-1e33-40c1-b474-0a12e4972a42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO3 concentration at aragonite saturation</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 60, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ALK_RESTORE_TEND</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-8244b7c1-ed1a-43d7-b307-a80c61587261' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8244b7c1-ed1a-43d7-b307-a80c61587261' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0b137ae-754c-4eef-bade-d9dfef12c0dc' class='xr-var-data-in' type='checkbox'><label for='data-c0b137ae-754c-4eef-bade-d9dfef12c0dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Alkalinity Restoring Tendency</dd><dt><span>units :</span></dt><dd>meq/m^3/s</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
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" <tr>\n", | |
" <td> </td>\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 60, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
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" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ALK_ALT_CO2_RESTORE_TEND</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-797de196-9a3f-4ecc-ade1-684462dada7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-797de196-9a3f-4ecc-ade1-684462dada7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff055c2e-1286-45c7-9c30-8e52385261e6' class='xr-var-data-in' type='checkbox'><label for='data-ff055c2e-1286-45c7-9c30-8e52385261e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Alkalinity, Alternative CO2 Restoring Tendency</dd><dt><span>units :</span></dt><dd>meq/m^3/s</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 60, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </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", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ECOSYS_IFRAC</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-c44ea455-07f2-4a96-b8ac-0d46d0bdb5ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c44ea455-07f2-4a96-b8ac-0d46d0bdb5ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-606c248d-c1c8-43a6-96e5-b8ada526d8a0' class='xr-var-data-in' type='checkbox'><label for='data-606c248d-c1c8-43a6-96e5-b8ada526d8a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ice Fraction for ecosys fluxes</dd><dt><span>units :</span></dt><dd>fraction</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <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> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 384, 320) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ECOSYS_XKW</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-861fa6f2-a221-49be-a381-c616e836c3b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-861fa6f2-a221-49be-a381-c616e836c3b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-003b0104-8f2e-4b03-a5fd-a54b7899a188' class='xr-var-data-in' type='checkbox'><label for='data-003b0104-8f2e-4b03-a5fd-a54b7899a188' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>XKW for ecosys fluxes</dd><dt><span>units :</span></dt><dd>cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 384, 320) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ECOSYS_ATM_PRESS</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-848d2553-7c89-4b04-b1c6-c5d7e7d8eed1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-848d2553-7c89-4b04-b1c6-c5d7e7d8eed1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea48f8f3-75a4-4d21-a807-3893d8c3457f' class='xr-var-data-in' type='checkbox'><label for='data-ea48f8f3-75a4-4d21-a807-3893d8c3457f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Atmospheric Pressure for ecosys fluxes</dd><dt><span>units :</span></dt><dd>atmospheres</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2STAR</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-c12c87c0-f8bb-406b-b503-94dbd296e487' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c12c87c0-f8bb-406b-b503-94dbd296e487' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-daec14fc-9548-4428-8598-220a84212f25' class='xr-var-data-in' type='checkbox'><label for='data-daec14fc-9548-4428-8598-220a84212f25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO2 Star</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
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" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DCO2STAR</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-d2c18f97-ad2f-4dd5-99d4-d504152d20eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2c18f97-ad2f-4dd5-99d4-d504152d20eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7797b61-047e-4b86-ad89-e494934ad07e' class='xr-var-data-in' type='checkbox'><label for='data-e7797b61-047e-4b86-ad89-e494934ad07e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>D CO2 Star</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pCO2SURF</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-0a88cea9-1714-496c-a69c-435ccf595b5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a88cea9-1714-496c-a69c-435ccf595b5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-806141fd-fb8f-4481-a99b-87626514abaa' class='xr-var-data-in' type='checkbox'><label for='data-806141fd-fb8f-4481-a99b-87626514abaa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface pCO2</dd><dt><span>units :</span></dt><dd>ppmv</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 384, 320) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DpCO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-6c8f0f63-0d6b-454f-9ed4-a38fcc82dc06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c8f0f63-0d6b-454f-9ed4-a38fcc82dc06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96a6b4f1-4610-49de-9ded-9a46ca846a9d' class='xr-var-data-in' type='checkbox'><label for='data-96a6b4f1-4610-49de-9ded-9a46ca846a9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>D pCO2</dd><dt><span>units :</span></dt><dd>ppmv</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
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" </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SCHMIDT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-5d81d587-f9e0-45ef-9083-c6613e4d61fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d81d587-f9e0-45ef-9083-c6613e4d61fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-046aa0f6-54da-44e2-ac02-85f7a599b95f' class='xr-var-data-in' type='checkbox'><label for='data-046aa0f6-54da-44e2-ac02-85f7a599b95f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO2 Schmidt Number</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td> 84.38 MiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FG_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-d6e290a1-0cdd-4991-b77e-fbdaf7da353c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6e290a1-0cdd-4991-b77e-fbdaf7da353c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11851a52-c353-4adb-8943-3c53ea9750e2' class='xr-var-data-in' type='checkbox'><label for='data-11851a52-c353-4adb-8943-3c53ea9750e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>DIC Surface Gas Flux</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td> 84.38 MiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PH</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-48d04c9c-20e3-40f3-9eee-10993485ac9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48d04c9c-20e3-40f3-9eee-10993485ac9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e0ccb65-0b03-41e0-91a2-eb507bb97d2b' class='xr-var-data-in' type='checkbox'><label for='data-1e0ccb65-0b03-41e0-91a2-eb507bb97d2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface pH</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ATM_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-1b8e1ed1-dac1-4938-8d6e-46436130d612' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b8e1ed1-dac1-4938-8d6e-46436130d612' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4d4cc18-75f6-4193-bc34-10e39b0c1202' class='xr-var-data-in' type='checkbox'><label for='data-c4d4cc18-75f6-4193-bc34-10e39b0c1202' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Atmospheric CO2</dd><dt><span>units :</span></dt><dd>ppmv</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2STAR_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-97e6c53a-e0b3-459c-b2cc-645517a85450' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97e6c53a-e0b3-459c-b2cc-645517a85450' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ed07e69-1344-46ae-85be-c0459e9b4461' class='xr-var-data-in' type='checkbox'><label for='data-6ed07e69-1344-46ae-85be-c0459e9b4461' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO2 Star, Alternative CO2</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DCO2STAR_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-b8ce177e-4cc4-452f-a3a9-fa351586e4ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8ce177e-4cc4-452f-a3a9-fa351586e4ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8980c54f-d2b3-4ed3-87e9-130ef0047ada' class='xr-var-data-in' type='checkbox'><label for='data-8980c54f-d2b3-4ed3-87e9-130ef0047ada' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>D CO2 Star, Alternative CO2</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pCO2SURF_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-dfc41350-2b46-487d-b34c-b9fba1df8eb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfc41350-2b46-487d-b34c-b9fba1df8eb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40cf4d73-6e81-47dc-96fd-bd03cce7e288' class='xr-var-data-in' type='checkbox'><label for='data-40cf4d73-6e81-47dc-96fd-bd03cce7e288' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface pCO2, Alternative CO2</dd><dt><span>units :</span></dt><dd>ppmv</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DpCO2_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-59ae945c-8fd3-4b09-a2bb-15d659334d49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59ae945c-8fd3-4b09-a2bb-15d659334d49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bcc5a3a-6118-4177-bb7e-9455d9a5c7f9' class='xr-var-data-in' type='checkbox'><label for='data-9bcc5a3a-6118-4177-bb7e-9455d9a5c7f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>D pCO2, Alternative CO2</dd><dt><span>units :</span></dt><dd>ppmv</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 384, 320) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FG_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-1e0b6434-c547-49a9-8d74-4dfd6a2d968c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e0b6434-c547-49a9-8d74-4dfd6a2d968c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5713bab-7ff3-47a2-8514-48ce24aa7429' class='xr-var-data-in' type='checkbox'><label for='data-b5713bab-7ff3-47a2-8514-48ce24aa7429' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>DIC Surface Gas Flux, Alternative CO2</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PH_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-4ff1d0d5-cf48-4f31-8cb4-381d3d785f4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ff1d0d5-cf48-4f31-8cb4-381d3d785f4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce8ac457-b0b9-418e-9231-1802b380ca51' class='xr-var-data-in' type='checkbox'><label for='data-ce8ac457-b0b9-418e-9231-1802b380ca51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface pH, Alternative CO2</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ALK_FLUX</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-5df3633d-d97c-4834-b967-07639203c00c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5df3633d-d97c-4834-b967-07639203c00c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f40ce51-0ca9-41d6-9f0e-c1f2c4bddfa2' class='xr-var-data-in' type='checkbox'><label for='data-5f40ce51-0ca9-41d6-9f0e-c1f2c4bddfa2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Flux of Alk from forcing data</dd><dt><span>units :</span></dt><dd>nmol/cm^2/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <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> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
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" <td> (1, 1, 180, 384, 320) </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DIC_FLUX</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-4fcd6cf6-c99e-4fc4-8386-5e1f2b386326' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fcd6cf6-c99e-4fc4-8386-5e1f2b386326' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8368d4f-0fdf-4184-9468-91d6549c6c2c' class='xr-var-data-in' type='checkbox'><label for='data-b8368d4f-0fdf-4184-9468-91d6549c6c2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Flux of DIC from forcing data</dd><dt><span>units :</span></dt><dd>nmol/cm^2/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tr>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DIC_zint_100m</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-157ad989-5802-4074-8b66-a4ea220a7521' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-157ad989-5802-4074-8b66-a4ea220a7521' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-409e4b50-2115-4323-b803-4d108072eec8' class='xr-var-data-in' type='checkbox'><label for='data-409e4b50-2115-4323-b803-4d108072eec8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dissolved Inorganic Carbon 0-100m Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td> </td>\n", | |
" <th> Array </th>\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 384, 320) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DIC_ALT_CO2_zint_100m</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-8637ac03-b866-4b1c-8004-28452c30f285' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8637ac03-b866-4b1c-8004-28452c30f285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86a858c8-8af2-438c-9ad2-bf653353171b' class='xr-var-data-in' type='checkbox'><label for='data-86a858c8-8af2-438c-9ad2-bf653353171b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dissolved Inorganic Carbon, Alternative CO2 0-100m Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
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" <tr>\n", | |
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" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 384, 320) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ALK_zint_100m</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-b67d96f6-084d-4a5c-b6ff-67a68b7533c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b67d96f6-084d-4a5c-b6ff-67a68b7533c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-083e3e4a-06b5-45ea-9cd7-c62e9a3d93b2' class='xr-var-data-in' type='checkbox'><label for='data-083e3e4a-06b5-45ea-9cd7-c62e9a3d93b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Alkalinity 0-100m Vertical Integral</dd><dt><span>units :</span></dt><dd>meq/m^3 cm</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td> </td>\n", | |
" <th> Array </th>\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
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" <td> (1, 1, 1, 384, 320) </td>\n", | |
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" <th> Dask graph </th>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ALK_ALT_CO2_zint_100m</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-f172bfe3-51f5-4c1c-a763-323f5f2591d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f172bfe3-51f5-4c1c-a763-323f5f2591d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4eda6abc-9cf9-4c17-aa88-88115b9b8764' class='xr-var-data-in' type='checkbox'><label for='data-4eda6abc-9cf9-4c17-aa88-88115b9b8764' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Alkalinity, Alternative CO2 0-100m Vertical Integral</dd><dt><span>units :</span></dt><dd>meq/m^3 cm</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
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" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DIC</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-a9fa55f0-9706-45b2-8a31-1b92fe68e317' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9fa55f0-9706-45b2-8a31-1b92fe68e317' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e12d9db6-7de4-4c53-a1b7-252df8624dab' class='xr-var-data-in' type='checkbox'><label for='data-e12d9db6-7de4-4c53-a1b7-252df8624dab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dissolved Inorganic Carbon</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 60, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </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", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Jint_100m_DIC</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-721b6164-2381-4b09-9e0d-0bcc1e377491' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-721b6164-2381-4b09-9e0d-0bcc1e377491' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1afc6008-52d6-4794-852f-4597737abe75' class='xr-var-data-in' type='checkbox'><label for='data-1afc6008-52d6-4794-852f-4597737abe75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dissolved Inorganic Carbon Source Sink Term Vertical Integral, 0-100m</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tr>\n", | |
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" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
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" <td> (1, 1, 1, 384, 320) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DIC_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-4d78b0c5-f68b-4eae-8f23-7b3800cc7ea6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d78b0c5-f68b-4eae-8f23-7b3800cc7ea6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8cce790-9838-4c2b-ac24-1140574ad1f6' class='xr-var-data-in' type='checkbox'><label for='data-f8cce790-9838-4c2b-ac24-1140574ad1f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dissolved Inorganic Carbon, Alternative CO2</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
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" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
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" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
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" <tr>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ALK</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-090f6361-299f-4f70-88ed-cb6994dabc7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-090f6361-299f-4f70-88ed-cb6994dabc7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5cb7646-6359-470d-b301-98ff9fd28dc4' class='xr-var-data-in' type='checkbox'><label for='data-d5cb7646-6359-470d-b301-98ff9fd28dc4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Alkalinity</dd><dt><span>units :</span></dt><dd>meq/m^3</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 60, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>STF_ALK</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-9fc05b69-2953-4474-b2c5-f72a18378d7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fc05b69-2953-4474-b2c5-f72a18378d7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-987742e5-dc35-494a-8407-00c3a817bea7' class='xr-var-data-in' type='checkbox'><label for='data-987742e5-dc35-494a-8407-00c3a817bea7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Alkalinity Surface Flux, excludes FvICE term</dd><dt><span>units :</span></dt><dd>meq/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
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" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 384, 320) </td>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ALK_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-93fdd2e0-71ed-4eec-bd28-f5719db32660' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93fdd2e0-71ed-4eec-bd28-f5719db32660' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51ee6f8a-4471-4849-95cd-331409333dc4' class='xr-var-data-in' type='checkbox'><label for='data-51ee6f8a-4471-4849-95cd-331409333dc4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Alkalinity, Alternative CO2</dd><dt><span>units :</span></dt><dd>meq/m^3</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 60, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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" </tbody>\n", | |
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" </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>STF_ALK_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-0ec475c7-999e-4701-af5f-c1310383a14d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ec475c7-999e-4701-af5f-c1310383a14d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-850ee8f6-3f0e-4080-94e4-4b0dea5d94f2' class='xr-var-data-in' type='checkbox'><label for='data-850ee8f6-3f0e-4080-94e4-4b0dea5d94f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Alkalinity, Alternative CO2 Surface Flux, excludes FvICE term</dd><dt><span>units :</span></dt><dd>meq/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tr>\n", | |
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" <th> Array </th>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
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" <td> (1, 1, 1, 384, 320) </td>\n", | |
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" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>IAGE</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray></div><input id='attrs-9f2852a3-ff72-4346-a8c0-767c496403cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f2852a3-ff72-4346-a8c0-767c496403cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-793385c9-676a-4cdf-ae5e-454373096ae4' class='xr-var-data-in' type='checkbox'><label for='data-793385c9-676a-4cdf-ae5e-454373096ae4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ideal Age</dd><dt><span>units :</span></dt><dd>years</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 4.94 GiB </td>\n", | |
" <td> 28.12 MiB </td>\n", | |
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" <td> (1, 1, 1, 60, 384, 320) </td>\n", | |
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" <tr>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tend_zint_100m_DIC</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-1aabe02a-4910-4384-8203-e294a5a14986' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1aabe02a-4910-4384-8203-e294a5a14986' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-131231d7-dd8e-42fc-a87a-2c47064c5c8f' class='xr-var-data-in' type='checkbox'><label for='data-131231d7-dd8e-42fc-a87a-2c47064c5c8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dissolved Inorganic Carbon Tendency Vertical Integral, 0-100m</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tend_zint_100m_DIC_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-7f49bbc0-b3d8-4444-9538-42b2012ada8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f49bbc0-b3d8-4444-9538-42b2012ada8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a415fce6-887b-4bed-9d44-12ffa062f1d7' class='xr-var-data-in' type='checkbox'><label for='data-a415fce6-887b-4bed-9d44-12ffa062f1d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dissolved Inorganic Carbon, Alternative CO2 Tendency Vertical Integral, 0-100m</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <th> Array </th>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
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" <td> (1, 1, 1, 384, 320) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tend_zint_100m_ALK</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-26ad0def-d46b-4063-a0fa-f8a555ee0243' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26ad0def-d46b-4063-a0fa-f8a555ee0243' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2627ad35-d216-448b-a245-124a24e12ca6' class='xr-var-data-in' type='checkbox'><label for='data-2627ad35-d216-448b-a245-124a24e12ca6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Alkalinity Tendency Vertical Integral, 0-100m</dd><dt><span>units :</span></dt><dd>meq/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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" </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tend_zint_100m_ALK_ALT_CO2</span></div><div class='xr-var-dims'>(polygon_id, injection_date, elapsed_time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray></div><input id='attrs-4b7c4b76-559a-4a4f-9589-6228be72addf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b7c4b76-559a-4a4f-9589-6228be72addf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3c03af1-0354-4d21-b6bc-014f1c77de8d' class='xr-var-data-in' type='checkbox'><label for='data-d3c03af1-0354-4d21-b6bc-014f1c77de8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Alkalinity, Alternative CO2 Tendency Vertical Integral, 0-100m</dd><dt><span>units :</span></dt><dd>meq/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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> 84.38 MiB </td>\n", | |
" <td> 480.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (1, 1, 180, 384, 320) </td>\n", | |
" <td> (1, 1, 1, 384, 320) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 180 chunks in 1 graph layer </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", | |
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"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ddd7b679-fb8e-4fa3-b612-d4df3298b30b' class='xr-section-summary-in' type='checkbox' ><label for='section-ddd7b679-fb8e-4fa3-b612-d4df3298b30b' class='xr-section-summary' >Indexes: <span>(8)</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>z_t</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-70857fd6-2624-4024-b70d-f28b3535c3bb' class='xr-index-data-in' type='checkbox'/><label for='index-70857fd6-2624-4024-b70d-f28b3535c3bb' 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([ 500.0, 1500.0, 2500.0, 3500.0,\n", | |
" 4500.0, 5500.0, 6500.0, 7500.0,\n", | |
" 8500.0, 9500.0, 10500.0, 11500.0,\n", | |
" 12500.0, 13500.0, 14500.0, 15500.0,\n", | |
" 16509.83984375, 17547.904296875, 18629.126953125, 19766.02734375,\n", | |
" 20971.138671875, 22257.828125, 23640.8828125, 25137.015625,\n", | |
" 26765.419921875, 28548.365234375, 30511.921875, 32686.798828125,\n", | |
" 35109.34765625, 37822.76171875, 40878.46484375, 44337.76953125,\n", | |
" 48273.671875, 52772.80078125, 57937.2890625, 63886.26171875,\n", | |
" 70756.328125, 78700.25, 87882.5234375, 98470.5859375,\n", | |
" 110620.421875, 124456.6875, 140049.71875, 157394.640625,\n", | |
" 176400.328125, 196894.421875, 218645.65625, 241397.15625,\n", | |
" 264900.125, 288938.46875, 313340.46875, 337979.34375,\n", | |
" 362767.03125, 387645.1875, 412576.8125, 437539.25,\n", | |
" 462519.03125, 487508.34375, 512502.8125, 537500.0],\n", | |
" dtype='float32', name='z_t'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z_t_150m</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-605ea519-8f30-410a-8ccf-f1441a897387' class='xr-index-data-in' type='checkbox'/><label for='index-605ea519-8f30-410a-8ccf-f1441a897387' 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([ 500.0, 1500.0, 2500.0, 3500.0, 4500.0, 5500.0, 6500.0, 7500.0,\n", | |
" 8500.0, 9500.0, 10500.0, 11500.0, 12500.0, 13500.0, 14500.0],\n", | |
" dtype='float32', name='z_t_150m'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z_w</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f1174ec7-64e0-4060-b8d9-ab7acd7242a4' class='xr-index-data-in' type='checkbox'/><label for='index-f1174ec7-64e0-4060-b8d9-ab7acd7242a4' 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, 1000.0, 2000.0, 3000.0,\n", | |
" 4000.0, 5000.0, 6000.0, 7000.0,\n", | |
" 8000.0, 9000.0, 10000.0, 11000.0,\n", | |
" 12000.0, 13000.0, 14000.0, 15000.0,\n", | |
" 16000.0, 17019.681640625, 18076.12890625, 19182.125,\n", | |
" 20349.931640625, 21592.34375, 22923.3125, 24358.453125,\n", | |
" 25915.580078125, 27615.259765625, 29481.470703125, 31542.373046875,\n", | |
" 33831.2265625, 36387.47265625, 39258.046875, 42498.88671875,\n", | |
" 46176.65625, 50370.6875, 55174.91015625, 60699.66796875,\n", | |
" 67072.859375, 74439.8046875, 82960.6953125, 92804.3515625,\n", | |
" 104136.8203125, 117104.015625, 131809.359375, 148290.078125,\n", | |
" 166499.203125, 186301.4375, 207487.390625, 229803.90625,\n", | |
" 252990.40625, 276809.84375, 301067.0625, 325613.84375,\n", | |
" 350344.875, 375189.1875, 400101.15625, 425052.46875,\n", | |
" 450026.0625, 475012.0, 500004.6875, 525000.9375],\n", | |
" dtype='float32', name='z_w'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z_w_top</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-162d7ff3-2ee5-4b9a-ac6a-16da67f9fd4a' class='xr-index-data-in' type='checkbox'/><label for='index-162d7ff3-2ee5-4b9a-ac6a-16da67f9fd4a' 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, 1000.0, 2000.0, 3000.0,\n", | |
" 4000.0, 5000.0, 6000.0, 7000.0,\n", | |
" 8000.0, 9000.0, 10000.0, 11000.0,\n", | |
" 12000.0, 13000.0, 14000.0, 15000.0,\n", | |
" 16000.0, 17019.681640625, 18076.12890625, 19182.125,\n", | |
" 20349.931640625, 21592.34375, 22923.3125, 24358.453125,\n", | |
" 25915.580078125, 27615.259765625, 29481.470703125, 31542.373046875,\n", | |
" 33831.2265625, 36387.47265625, 39258.046875, 42498.88671875,\n", | |
" 46176.65625, 50370.6875, 55174.91015625, 60699.66796875,\n", | |
" 67072.859375, 74439.8046875, 82960.6953125, 92804.3515625,\n", | |
" 104136.8203125, 117104.015625, 131809.359375, 148290.078125,\n", | |
" 166499.203125, 186301.4375, 207487.390625, 229803.90625,\n", | |
" 252990.40625, 276809.84375, 301067.0625, 325613.84375,\n", | |
" 350344.875, 375189.1875, 400101.15625, 425052.46875,\n", | |
" 450026.0625, 475012.0, 500004.6875, 525000.9375],\n", | |
" dtype='float32', name='z_w_top'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z_w_bot</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9042ef1d-1ad5-4536-a6eb-dba83849957e' class='xr-index-data-in' type='checkbox'/><label for='index-9042ef1d-1ad5-4536-a6eb-dba83849957e' 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([ 1000.0, 2000.0, 3000.0, 4000.0,\n", | |
" 5000.0, 6000.0, 7000.0, 8000.0,\n", | |
" 9000.0, 10000.0, 11000.0, 12000.0,\n", | |
" 13000.0, 14000.0, 15000.0, 16000.0,\n", | |
" 17019.681640625, 18076.12890625, 19182.125, 20349.931640625,\n", | |
" 21592.34375, 22923.3125, 24358.453125, 25915.580078125,\n", | |
" 27615.259765625, 29481.470703125, 31542.373046875, 33831.2265625,\n", | |
" 36387.47265625, 39258.046875, 42498.88671875, 46176.65625,\n", | |
" 50370.6875, 55174.91015625, 60699.66796875, 67072.859375,\n", | |
" 74439.8046875, 82960.6953125, 92804.3515625, 104136.8203125,\n", | |
" 117104.015625, 131809.359375, 148290.078125, 166499.203125,\n", | |
" 186301.4375, 207487.390625, 229803.90625, 252990.40625,\n", | |
" 276809.84375, 301067.0625, 325613.84375, 350344.875,\n", | |
" 375189.1875, 400101.15625, 425052.46875, 450026.0625,\n", | |
" 475012.0, 500004.6875, 525000.9375, 549999.0625],\n", | |
" dtype='float32', name='z_w_bot'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>polygon_id</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9a727990-e559-48e3-80d1-c89e2bd9f6dd' class='xr-index-data-in' type='checkbox'/><label for='index-9a727990-e559-48e3-80d1-c89e2bd9f6dd' 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], dtype='int32', name='polygon_id'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>injection_date</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-b81624c3-bd00-432a-870e-1f9f50be9322' class='xr-index-data-in' type='checkbox'/><label for='index-b81624c3-bd00-432a-870e-1f9f50be9322' 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(CFTimeIndex([1999-01-01 00:00:00],\n", | |
" dtype='object', length=1, calendar='noleap', freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>elapsed_time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-126c4c29-8a46-4ba7-bd0a-a5d5682105f4' class='xr-index-data-in' type='checkbox'/><label for='index-126c4c29-8a46-4ba7-bd0a-a5d5682105f4' 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(TimedeltaIndex([ '0 days', '31 days', '59 days', '90 days',\n", | |
" '120 days', '151 days', '181 days', '212 days',\n", | |
" '243 days', '273 days',\n", | |
" ...\n", | |
" '5169 days', '5200 days', '5230 days', '5261 days',\n", | |
" '5291 days', '5322 days', '5353 days', '5383 days',\n", | |
" '5414 days', '5444 days'],\n", | |
" dtype='timedelta64[ns]', name='elapsed_time', length=180, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c938e55-94ce-4ff9-bd32-95236bb47560' class='xr-section-summary-in' type='checkbox' ><label for='section-8c938e55-94ce-4ff9-bd32-95236bb47560' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>smyle.cdr-atlas-v0.glb-dor_North_Atlantic_basin_000_1999-01-01_00000.001</dd><dt><span>history :</span></dt><dd>none</dd><dt><span>Conventions :</span></dt><dd>CF-1.0; http://www.cgd.ucar.edu/cms/eaton/netcdf/CF-current.htm</dd><dt><span>time_period_freq :</span></dt><dd>month_1</dd><dt><span>model_doi_url :</span></dt><dd>https://doi.org/10.5065/D67H1H0V</dd><dt><span>contents :</span></dt><dd>Diagnostic and Prognostic Variables</dd><dt><span>source :</span></dt><dd>CCSM POP2, the CCSM Ocean Component</dd><dt><span>revision :</span></dt><dd>$Id$</dd><dt><span>calendar :</span></dt><dd>All years have exactly 365 days.</dd><dt><span>start_time :</span></dt><dd>This dataset was created on 2024-11-04 at 21:08:03.3</dd><dt><span>cell_methods :</span></dt><dd>cell_methods = time: mean ==> the variable values are averaged over the time interval between the previous time coordinate and the current one. cell_methods absent ==> the variable values are at the time given by the current time coordinate.</dd></dl></div></li></ul></div></div>" | |
], | |
"text/plain": [ | |
"<xarray.Dataset> Size: 82GB\n", | |
"Dimensions: (polygon_id: 1, injection_date: 1,\n", | |
" elapsed_time: 180, z_t: 60, nlat: 384,\n", | |
" nlon: 320, z_t_150m: 15, z_w: 60, z_w_top: 60,\n", | |
" z_w_bot: 60)\n", | |
"Coordinates: (12/63)\n", | |
" * z_t (z_t) float32 240B 500.0 1.5e+03 ... 5.375e+05\n", | |
" * z_t_150m (z_t_150m) float32 60B 500.0 ... 1.45e+04\n", | |
" * z_w (z_w) float32 240B 0.0 1e+03 ... 5e+05 5.25e+05\n", | |
" * z_w_top (z_w_top) float32 240B 0.0 1e+03 ... 5.25e+05\n", | |
" * z_w_bot (z_w_bot) float32 240B 1e+03 2e+03 ... 5.5e+05\n", | |
" dz (z_t) float32 240B dask.array<chunksize=(60,), meta=np.ndarray>\n", | |
" ... ...\n", | |
" nsurface_t float64 8B ...\n", | |
" nsurface_u float64 8B ...\n", | |
" area_m2 (nlat, nlon) float64 983kB dask.array<chunksize=(384, 320), meta=np.ndarray>\n", | |
" * polygon_id (polygon_id) int32 4B 0\n", | |
" * injection_date (injection_date) object 8B 1999-01-01 00:00:00\n", | |
" * elapsed_time (elapsed_time) timedelta64[ns] 1kB 0 days ......\n", | |
"Dimensions without coordinates: nlat, nlon\n", | |
"Data variables: (12/46)\n", | |
" CO3 (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" HCO3 (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" H2CO3 (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" pH_3D (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" CO3_ALT_CO2 (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" pH_3D_ALT_CO2 (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" ... ...\n", | |
" STF_ALK_ALT_CO2 (polygon_id, injection_date, elapsed_time, nlat, nlon) float32 88MB dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray>\n", | |
" IAGE (polygon_id, injection_date, elapsed_time, z_t, nlat, nlon) float32 5GB dask.array<chunksize=(1, 1, 1, 60, 384, 320), meta=np.ndarray>\n", | |
" tend_zint_100m_DIC (polygon_id, injection_date, elapsed_time, nlat, nlon) float32 88MB dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray>\n", | |
" tend_zint_100m_DIC_ALT_CO2 (polygon_id, injection_date, elapsed_time, nlat, nlon) float32 88MB dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray>\n", | |
" tend_zint_100m_ALK (polygon_id, injection_date, elapsed_time, nlat, nlon) float32 88MB dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray>\n", | |
" tend_zint_100m_ALK_ALT_CO2 (polygon_id, injection_date, elapsed_time, nlat, nlon) float32 88MB dask.array<chunksize=(1, 1, 1, 384, 320), meta=np.ndarray>\n", | |
"Attributes:\n", | |
" title: smyle.cdr-atlas-v0.glb-dor_North_Atlantic_basin_000_19...\n", | |
" history: none\n", | |
" Conventions: CF-1.0; http://www.cgd.ucar.edu/cms/eaton/netcdf/CF-cu...\n", | |
" time_period_freq: month_1\n", | |
" model_doi_url: https://doi.org/10.5065/D67H1H0V\n", | |
" contents: Diagnostic and Prognostic Variables\n", | |
" source: CCSM POP2, the CCSM Ocean Component\n", | |
" revision: $Id$\n", | |
" calendar: All years have exactly 365 days.\n", | |
" start_time: This dataset was created on 2024-11-04 at 21:08:03.3\n", | |
" cell_methods: cell_methods = time: mean ==> the variable values are ..." | |
] | |
}, | |
"execution_count": 3, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"%%time\n", | |
"with dask.config.set(scheduler=\"processes\"):\n", | |
" ds = xr.open_mfdataset(\n", | |
" path,\n", | |
" coords=\"minimal\",\n", | |
" combine=\"by_coords\",\n", | |
" data_vars=\"minimal\",\n", | |
" compat=\"override\",\n", | |
" decode_timedelta=True,\n", | |
" decode_times=True,\n", | |
" parallel=True,\n", | |
" ) # .chunk({'elapsed_time': -1})\n", | |
" ds = dask.optimize(ds)[0]\n", | |
"ds" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"id": "8e0753db-1dd0-4a0c-8116-6004b514f523", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"def integrate_column(var: xr.DataArray, depth_element: xr.DataArray) -> xr.DataArray:\n", | |
" return (var * depth_element).sum(dim=\"z_t\")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"id": "c5dcbbcb-7c55-4f07-a843-c38cc0a59783", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"def reduction(ds):\n", | |
" with xr.set_options(keep_attrs=True):\n", | |
" dic_surf = ds.DIC.isel(z_t=0)\n", | |
" ds.ALK.isel(z_t=0)\n", | |
" dic_delta_surf = ds.DIC.isel(z_t=0) - ds.DIC_ALT_CO2.isel(z_t=0)\n", | |
" ds.ALK.isel(z_t=0) - ds.ALK_ALT_CO2.isel(z_t=0)\n", | |
"\n", | |
" pH_delta_surf = ds.PH - ds.PH_ALT_CO2\n", | |
" pco2_delta_surf = ds.pCO2SURF - ds.pCO2SURF_ALT_CO2\n", | |
"\n", | |
" fg_co2_delta_surf = ds.FG_CO2 - ds.FG_ALT_CO2\n", | |
"\n", | |
" dic_column_integrated = integrate_column(ds.DIC, ds[\"dz\"] * 1e-3)\n", | |
" dic_delta_column_integrated = dic_column_integrated - integrate_column(\n", | |
" ds.DIC_ALT_CO2, ds[\"dz\"] * 1e-3\n", | |
" )\n", | |
"\n", | |
" dso = (\n", | |
" xr.Dataset(\n", | |
" dict(\n", | |
" FG_CO2_SURF=ds.FG_CO2,\n", | |
" FG_CO2_DELTA_SURF=fg_co2_delta_surf,\n", | |
" DIC_SURF=dic_surf,\n", | |
" DIC_DELTA_SURF=dic_delta_surf,\n", | |
" DIC_COLUMN_INTEGRATED=dic_column_integrated,\n", | |
" DIC_DELTA_COLUMN_INTEGRATED=dic_delta_column_integrated,\n", | |
" PH_SURF=ds.PH,\n", | |
" PH_DELTA_SURF=pH_delta_surf,\n", | |
" pCO2_DELTA_SURF=pco2_delta_surf,\n", | |
" pCO2_SURF=ds.pCO2SURF,\n", | |
" )\n", | |
" )\n", | |
" ).drop_vars([\"TLONG\", \"TLAT\"])\n", | |
" dso.attrs[\"case\"] = ds.title\n", | |
" return dso" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "1def6d5a-80be-4e50-8d28-807d76e98052", | |
"metadata": {}, | |
"source": [ | |
"\n", | |
"\n", | |
"```python\n", | |
"(ds[‘DIC’] - ds[‘DIC_ALT_CO2’]) * ds.dz * dz.TAREA = a 4D array. The top layer of the 4D array needs to be + (ds[‘DIC’] - ds[‘DIC_ALT_CO2’]).isel(z_t=0) * dz.TAREA * ds.SSH\n", | |
"\n", | |
"((ds[‘DIC’] - ds[‘DIC_ALT_CO2’]).isel(z_t=0) * dz.TAREA * ds.SSH).sum([‘nlat’, ‘nlon’])\n", | |
"```" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "d14f80c2-d18c-455f-b4cb-65413a4b5cb7", | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "dor", | |
"language": "python", | |
"name": "dor" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.12.9" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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