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"source": [
"# Data Description of Rechunked National Water Model v2.1 Retrospective Simulation\n",
"This notebook gives a look at the metadata of the six Zarr stores which comprise the rechunked NWM v2.1 retrospective simulation. \n",
"The perspective of the metadata is from the `xarray.Dataset` point of view (as xarray would work with the data in memory). For a more detailed\n",
"data description please see this \n",
"[(html)](https://htmlpreview.github.io/?https://github.com/NCAR/rechunk\\_retro_nwm\\_v21/blob/main/notebooks/data_description_detail.html) \n",
"[(notebook)](https://htmlpreview.github.io/?https://github.com/NCAR/rechunk\\_retro_nwm\\_v21/blob/main/notebooks/data_description_detail.ipynb)\n",
"which presents information from the Zarr perspective as well (storage, compression), for each variable. "
]
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"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
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"name": "stderr",
"output_type": "stream",
"text": [
"/glade/work/jamesmcc/python_envs/379zr/lib/python3.7/site-packages/xarray/backends/cfgrib_.py:28: UserWarning: Failed to load cfgrib - most likely there is a problem accessing the ecCodes library. Try `import cfgrib` to get the full error message\n",
" \"Failed to load cfgrib - most likely there is a problem accessing the ecCodes library. \"\n"
]
}
],
"source": [
"import xarray as xr"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"files = {\n",
" 'gwout': '/glade/p/datashare/ishitas/nwm_retro_v2.1/gwout.zarr',\n",
" 'lakeout': '/glade/p/datashare/jamesmcc/nwm_retro_v2.1/lakeout.zarr',\n",
" 'chrtout': '/glade/p/datashare/ishitas/nwm_retro_v2.1/chrtout.zarr',\n",
" 'precip': '/glade/p/datashare/jamesmcc/nwm_retro_v2.1/precip.zarr',\n",
" 'ldasout': '/glade/p/datashare/ishitas/nwm_retro_v2.1/ldasout.zarr',\n",
" 'rtout': '/glade/p/datashare/jamesmcc/nwm_retro_v2.1/rtout.zarr', \n",
"}\n",
"\n",
"message = ('Please click on the dropdown carets, metadata (file) symbols, and the data' \n",
" 'information (silos) symbols below for additional information.')\n",
"\n",
"def describe(tag):\n",
" ds = xr.open_zarr(files[tag])\n",
" print(message)\n",
" display(ds)\n",
" ds.close()\n",
" del ds\n",
" return None"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## LAKEOUT: lake model output\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Please click on the dropdown carets, metadata (file) symbols, and the datainformation (silos) symbols below for additional information.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/glade/work/jamesmcc/python_envs/379zr/lib/python3.7/site-packages/xarray/backends/plugins.py:61: RuntimeWarning: Engine 'cfgrib' loading failed:\n",
"Cannot find the ecCodes library\n",
" warnings.warn(f\"Engine {name!r} loading failed:\\n{ex}\", RuntimeWarning)\n"
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"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
"Dimensions: (feature_id: 5783, time: 367439)\n",
"Coordinates:\n",
" * feature_id (feature_id) int32 491 531 747 ... 947070204 1021092845\n",
" latitude (feature_id) float32 dask.array<chunksize=(5783,), meta=np.ndarray>\n",
" longitude (feature_id) float32 dask.array<chunksize=(5783,), meta=np.ndarray>\n",
" * time (time) datetime64[ns] 1979-02-01T01:00:00 ... 2020-12-31T...\n",
"Data variables:\n",
" crs |S1 ...\n",
" inflow (time, feature_id) float64 dask.array<chunksize=(8064, 500), meta=np.ndarray>\n",
" outflow (time, feature_id) float64 dask.array<chunksize=(8064, 500), meta=np.ndarray>\n",
" water_sfc_elev (time, feature_id) float32 dask.array<chunksize=(8064, 500), meta=np.ndarray>\n",
"Attributes:\n",
" Conventions: CF-1.6\n",
" TITLE: OUTPUT FROM WRF-Hydro v5.2.0-beta2\n",
" code_version: v5.2.0-beta2\n",
" featureType: timeSeries\n",
" model_configuration: retrospective\n",
" model_output_type: reservoir\n",
" proj4: +proj=lcc +units=m +a=6370000.0 +b=6370000....\n",
" reservoir_assimilated_value: Assimilation not performed\n",
" reservoir_type: 1 = level pool everywhere\n",
" station_dimension: lake_id</pre><div class='xr-wrap' hidden><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-46dfd979-8e22-4aa0-bc2a-307be3c1c621' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-46dfd979-8e22-4aa0-bc2a-307be3c1c621' 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'>feature_id</span>: 5783</li><li><span class='xr-has-index'>time</span>: 367439</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2cc7129e-d531-4e05-b9b0-53ac920821fb' class='xr-section-summary-in' type='checkbox' checked><label for='section-2cc7129e-d531-4e05-b9b0-53ac920821fb' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>feature_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>491 531 ... 947070204 1021092845</div><input id='attrs-8580f939-b956-41ca-a32a-43def5f84c4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8580f939-b956-41ca-a32a-43def5f84c4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3178f1b7-b97d-42c9-a71c-ff8a754d33c1' class='xr-var-data-in' type='checkbox'><label for='data-3178f1b7-b97d-42c9-a71c-ff8a754d33c1' 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>cf_role :</span></dt><dd>timeseries_id</dd><dt><span>comment :</span></dt><dd>ComID from NHDPlusV2 waterbody layer</dd><dt><span>long_name :</span></dt><dd>Lake ComID</dd></dl></div><div class='xr-var-data'><pre>array([ 491, 531, 747, ..., 947070203, 947070204,\n",
" 1021092845], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(5783,), meta=np.ndarray></div><input id='attrs-4719680a-ff05-4896-9126-968913c5d59d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4719680a-ff05-4896-9126-968913c5d59d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d03668d6-8450-46c7-91b1-0f4e5e60352f' class='xr-var-data-in' type='checkbox'><label for='data-d03668d6-8450-46c7-91b1-0f4e5e60352f' 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>Lake latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
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" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 22.59 kiB </td>\n",
" <td> 22.59 kiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (5783,) </td>\n",
" <td> (5783,) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Tasks </td>\n",
" <td> 1 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
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" </tbody>\n",
" </table>\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>longitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(5783,), meta=np.ndarray></div><input id='attrs-ffad65a0-f294-4a12-b547-1cc5410faa1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffad65a0-f294-4a12-b547-1cc5410faa1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-086961d9-de89-4661-b8d8-d27ddd3eccab' class='xr-var-data-in' type='checkbox'><label for='data-086961d9-de89-4661-b8d8-d27ddd3eccab' 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>Lake longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 22.59 kiB </td>\n",
" <td> 22.59 kiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (5783,) </td>\n",
" <td> (5783,) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Tasks </td>\n",
" <td> 1 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\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 class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-02-01T01:00:00 ... 2020-12-...</div><input id='attrs-de0436a1-1997-4303-881d-b8ab70caab84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de0436a1-1997-4303-881d-b8ab70caab84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b7503cd-17f5-43f0-bf9b-4c5baa751770' class='xr-var-data-in' type='checkbox'><label for='data-1b7503cd-17f5-43f0-bf9b-4c5baa751770' 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>valid output time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>valid_max :</span></dt><dd>4862880</dd><dt><span>valid_min :</span></dt><dd>4777980</dd></dl></div><div class='xr-var-data'><pre>array(['1979-02-01T01:00:00.000000000', '1979-02-01T02:00:00.000000000',\n",
" '1979-02-01T03:00:00.000000000', ..., '2020-12-31T21:00:00.000000000',\n",
" '2020-12-31T22:00:00.000000000', '2020-12-31T23:00:00.000000000'],\n",
" dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-abe430a9-d5b1-4a87-99d7-3cbbffb7b8f3' class='xr-section-summary-in' type='checkbox' checked><label for='section-abe430a9-d5b1-4a87-99d7-3cbbffb7b8f3' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd9bd8b9-c742-4ae5-8be6-4734c461c3f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd9bd8b9-c742-4ae5-8be6-4734c461c3f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b8fe039-2613-40c4-b446-b92f854b8193' class='xr-var-data-in' type='checkbox'><label for='data-6b8fe039-2613-40c4-b446-b92f854b8193' 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>_CoordinateAxes :</span></dt><dd>latitude longitude</dd><dt><span>esri_pe_string :</span></dt><dd>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude longitude</dd><dt><span>inverse_flattening :</span></dt><dd>298.2572326660156</dd><dt><span>long_name :</span></dt><dd>CRS definition</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.5</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision</dd><dt><span>transform_name :</span></dt><dd>latitude longitude</dd></dl></div><div class='xr-var-data'><pre>array(b'', dtype='|S1')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>inflow</span></div><div class='xr-var-dims'>(time, feature_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(8064, 500), meta=np.ndarray></div><input id='attrs-4bab7507-f092-4338-87df-a33273e20e47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bab7507-f092-4338-87df-a33273e20e47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7abc37b8-7049-426c-b937-2a9dc5b715b4' class='xr-var-data-in' type='checkbox'><label for='data-7abc37b8-7049-426c-b937-2a9dc5b715b4' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Lake Inflow</dd><dt><span>units :</span></dt><dd>m3 s-1</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 15.83 GiB </td>\n",
" <td> 30.76 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (367439, 5783) </td>\n",
" <td> (8064, 500) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 553 Tasks </td>\n",
" <td> 552 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float64 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\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>outflow</span></div><div class='xr-var-dims'>(time, feature_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(8064, 500), meta=np.ndarray></div><input id='attrs-574d1963-3030-4f36-9599-d83d4aadfcf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-574d1963-3030-4f36-9599-d83d4aadfcf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50d711d4-b736-486a-a2d3-64f52fdc0d56' class='xr-var-data-in' type='checkbox'><label for='data-50d711d4-b736-486a-a2d3-64f52fdc0d56' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Lake Outflow</dd><dt><span>units :</span></dt><dd>m3 s-1</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 15.83 GiB </td>\n",
" <td> 30.76 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (367439, 5783) </td>\n",
" <td> (8064, 500) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 553 Tasks </td>\n",
" <td> 552 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float64 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"77\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_sfc_elev</span></div><div class='xr-var-dims'>(time, feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(8064, 500), meta=np.ndarray></div><input id='attrs-a36056a0-773c-4114-ad2b-5a5c111c6e50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a36056a0-773c-4114-ad2b-5a5c111c6e50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-110f836e-cf67-45a8-a63e-8044032a13f9' class='xr-var-data-in' type='checkbox'><label for='data-110f836e-cf67-45a8-a63e-8044032a13f9' 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>comment :</span></dt><dd>If reservoir_type = 4, water_sfc_elev is invalid because this value corresponds only to level pool</dd><dt><span>long_name :</span></dt><dd>Water Surface Elevation</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 7.92 GiB </td>\n",
" <td> 15.38 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (367439, 5783) </td>\n",
" <td> (8064, 500) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 553 Tasks </td>\n",
" <td> 552 Chunks </td>\n",
" </tr>\n",
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"<xarray.Dataset>\n",
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"Coordinates:\n",
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},
"metadata": {},
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}
],
"source": [
"describe('lakeout')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## GWOUT: groundwater model ouput"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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" model_configuration: retrospective\n",
" model_output_type: groundwater_rt\n",
" station_dimension: gw_id</pre><div class='xr-wrap' hidden><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-2c60977d-bc5f-4b45-bfae-ca74180b535d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2c60977d-bc5f-4b45-bfae-ca74180b535d' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 367439</li><li><span class='xr-has-index'>feature_id</span>: 2776738</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e525ae4b-858e-40fe-b4c5-b6d01264fb91' class='xr-section-summary-in' type='checkbox' checked><label for='section-e525ae4b-858e-40fe-b4c5-b6d01264fb91' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>feature_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>6635572 6635590 ... 15450136</div><input id='attrs-7a9474be-d7bc-4803-a6f4-2044e6547e8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a9474be-d7bc-4803-a6f4-2044e6547e8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ae38796-7d75-4e5b-b2a6-e16d10b1a2ad' class='xr-var-data-in' type='checkbox'><label for='data-7ae38796-7d75-4e5b-b2a6-e16d10b1a2ad' 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>cf_role :</span></dt><dd>timeseries_id</dd><dt><span>comment :</span></dt><dd>Groundwater Bucket ID</dd><dt><span>long_name :</span></dt><dd>Groundwater Bucket ID</dd></dl></div><div class='xr-var-data'><pre>array([ 6635572, 6635590, 6635598, ..., 15448486, 25293410, 15450136],\n",
" dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-02-01T01:00:00 ... 2020-12-...</div><input id='attrs-8950abc7-2f16-4869-8fc6-04117b28ca29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8950abc7-2f16-4869-8fc6-04117b28ca29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44e3407d-7da9-40e3-b3f3-6acd088130f5' class='xr-var-data-in' type='checkbox'><label for='data-44e3407d-7da9-40e3-b3f3-6acd088130f5' 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>valid output time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>valid_max :</span></dt><dd>4862880</dd><dt><span>valid_min :</span></dt><dd>4777980</dd></dl></div><div class='xr-var-data'><pre>array(['1979-02-01T01:00:00.000000000', '1979-02-01T02:00:00.000000000',\n",
" '1979-02-01T03:00:00.000000000', ..., '2020-12-31T21:00:00.000000000',\n",
" '2020-12-31T22:00:00.000000000', '2020-12-31T23:00:00.000000000'],\n",
" dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f35a437f-1f47-49e6-89f2-0bb36d2e9f12' class='xr-section-summary-in' type='checkbox' checked><label for='section-f35a437f-1f47-49e6-89f2-0bb36d2e9f12' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(time, feature_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(672, 30000), meta=np.ndarray></div><input id='attrs-64610c6f-c6df-48d1-8295-97ee3d947839' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64610c6f-c6df-48d1-8295-97ee3d947839' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73d50ed4-a9da-40c1-adf1-420bcbc4d805' class='xr-var-data-in' type='checkbox'><label for='data-73d50ed4-a9da-40c1-adf1-420bcbc4d805' 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>Bucket Depth</dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 7.42 TiB </td>\n",
" <td> 153.81 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (367439, 2776738) </td>\n",
" <td> (672, 30000) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 50872 Tasks </td>\n",
" <td> 50871 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float64 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"90\" 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>inflow</span></div><div class='xr-var-dims'>(time, feature_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(672, 30000), meta=np.ndarray></div><input id='attrs-465163d9-7a95-4768-bc4b-ae49a39b4c26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-465163d9-7a95-4768-bc4b-ae49a39b4c26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdd15d5b-de53-469c-acdd-7b00fc779be2' class='xr-var-data-in' type='checkbox'><label for='data-cdd15d5b-de53-469c-acdd-7b00fc779be2' 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>Bucket Inflow</dd><dt><span>units :</span></dt><dd>m3 s-1</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 7.42 TiB </td>\n",
" <td> 153.81 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (367439, 2776738) </td>\n",
" <td> (672, 30000) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 50872 Tasks </td>\n",
" <td> 50871 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float64 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outflow</span></div><div class='xr-var-dims'>(time, feature_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(672, 30000), meta=np.ndarray></div><input id='attrs-c53d7b46-07dc-44bd-85c1-e4d8b420b7c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c53d7b46-07dc-44bd-85c1-e4d8b420b7c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0e1e731-a49a-4ede-b61b-72ffb8a86de0' class='xr-var-data-in' type='checkbox'><label for='data-c0e1e731-a49a-4ede-b61b-72ffb8a86de0' 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>Bucket Outflow</dd><dt><span>units :</span></dt><dd>m3 s-1</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 7.42 TiB </td>\n",
" <td> 153.81 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (367439, 2776738) </td>\n",
" <td> (672, 30000) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 50872 Tasks </td>\n",
" <td> 50871 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float64 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
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"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 367439, feature_id: 2776738)\n",
"Coordinates:\n",
" * feature_id (feature_id) int32 6635572 6635590 6635598 ... 25293410 15450136\n",
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"Attributes:\n",
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},
"metadata": {},
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"source": [
"describe('gwout')"
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{
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"metadata": {},
"source": [
"## CHRTOUT: streamflow model output "
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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"Dimensions: (feature_id: 2776738, time: 367439)\n",
"Coordinates:\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>feature_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>101 179 ... 1180001803 1180001804</div><input id='attrs-63c8d029-a9a1-4cbe-a91d-32e8b170eec5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63c8d029-a9a1-4cbe-a91d-32e8b170eec5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5896a573-1b55-44ed-8918-73797a021101' class='xr-var-data-in' type='checkbox'><label for='data-5896a573-1b55-44ed-8918-73797a021101' 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>cf_role :</span></dt><dd>timeseries_id</dd><dt><span>comment :</span></dt><dd>NHDPlusv2 ComIDs within CONUS, arbitrary Reach IDs outside of CONUS</dd><dt><span>long_name :</span></dt><dd>Reach ID</dd></dl></div><div class='xr-var-data'><pre>array([ 101, 179, 181, ..., 1180001802, 1180001803,\n",
" 1180001804], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gage_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>|S15</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(2776738,), meta=np.ndarray></div><input id='attrs-991c4283-17b0-4a11-b07c-317532643954' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-991c4283-17b0-4a11-b07c-317532643954' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f235d247-6f3f-4923-be8b-e8086e43cf87' class='xr-var-data-in' type='checkbox'><label for='data-f235d247-6f3f-4923-be8b-e8086e43cf87' 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>coordinates :</span></dt><dd>lat lon</dd><dt><span>long_name :</span></dt><dd>NHD Gage Event ID from SOURCE_FEA field in Gages feature class</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 39.72 MiB </td>\n",
" <td> 39.72 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (2776738,) </td>\n",
" <td> (2776738,) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Tasks </td>\n",
" <td> 1 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> |S15 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\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>latitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(2776738,), meta=np.ndarray></div><input id='attrs-71c21666-39fb-4768-a81f-5cda26a0f36e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71c21666-39fb-4768-a81f-5cda26a0f36e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa746bb9-6d99-44a3-89be-5923a21ec619' class='xr-var-data-in' type='checkbox'><label for='data-aa746bb9-6d99-44a3-89be-5923a21ec619' 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>feature latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 10.59 MiB </td>\n",
" <td> 10.59 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (2776738,) </td>\n",
" <td> (2776738,) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Tasks </td>\n",
" <td> 1 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"75\" 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",
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"\n",
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" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\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>longitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(2776738,), meta=np.ndarray></div><input id='attrs-9cf76de2-4ae5-4547-a1f6-a23b99be4a06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cf76de2-4ae5-4547-a1f6-a23b99be4a06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9133a8a-0186-4cda-956e-053c5b00e61c' class='xr-var-data-in' type='checkbox'><label for='data-c9133a8a-0186-4cda-956e-053c5b00e61c' 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>feature longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 10.59 MiB </td>\n",
" <td> 10.59 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (2776738,) </td>\n",
" <td> (2776738,) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Tasks </td>\n",
" <td> 1 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"75\" 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",
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"\n",
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" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\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>order</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(2776738,), meta=np.ndarray></div><input id='attrs-3bb9813d-6dd0-47b5-97f3-92b6e0ab790d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bb9813d-6dd0-47b5-97f3-92b6e0ab790d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ea05218-411b-4c5a-b141-6dab268c8df2' class='xr-var-data-in' type='checkbox'><label for='data-9ea05218-411b-4c5a-b141-6dab268c8df2' 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>stream order</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 10.59 MiB </td>\n",
" <td> 10.59 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (2776738,) </td>\n",
" <td> (2776738,) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Tasks </td>\n",
" <td> 1 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> int32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"75\" 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",
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"\n",
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" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
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"\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 class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-02-01T01:00:00 ... 2020-12-...</div><input id='attrs-5ee87d1b-5c7c-4302-a35f-12023644e479' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ee87d1b-5c7c-4302-a35f-12023644e479' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1853e77-78ca-4fde-a7ae-1eca9f77d214' class='xr-var-data-in' type='checkbox'><label for='data-b1853e77-78ca-4fde-a7ae-1eca9f77d214' 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>valid output time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['1979-02-01T01:00:00.000000000', '1979-02-01T02:00:00.000000000',\n",
" '1979-02-01T03:00:00.000000000', ..., '2020-12-31T21:00:00.000000000',\n",
" '2020-12-31T22:00:00.000000000', '2020-12-31T23:00:00.000000000'],\n",
" dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-61d36558-5f71-46c0-94c3-35fd035bee31' class='xr-section-summary-in' type='checkbox' checked><label for='section-61d36558-5f71-46c0-94c3-35fd035bee31' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0d5b1339-f444-4c80-ae7a-213b805bef1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d5b1339-f444-4c80-ae7a-213b805bef1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33b6aae5-2b76-49cb-8ecf-fc93b5d18db0' class='xr-var-data-in' type='checkbox'><label for='data-33b6aae5-2b76-49cb-8ecf-fc93b5d18db0' 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>_CoordinateAxes :</span></dt><dd>latitude longitude</dd><dt><span>esri_pe_string :</span></dt><dd>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude longitude</dd><dt><span>inverse_flattening :</span></dt><dd>298.2572326660156</dd><dt><span>long_name :</span></dt><dd>CRS definition</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.5</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision</dd><dt><span>transform_name :</span></dt><dd>latitude longitude</dd></dl></div><div class='xr-var-data'><pre>array(b'', dtype='|S1')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>streamflow</span></div><div class='xr-var-dims'>(time, feature_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(672, 30000), meta=np.ndarray></div><input id='attrs-31f41c34-1c1f-45c3-86cd-cc11ad186676' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31f41c34-1c1f-45c3-86cd-cc11ad186676' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e0d63ef-1a4e-4137-8f71-408a0d00eb64' class='xr-var-data-in' type='checkbox'><label for='data-7e0d63ef-1a4e-4137-8f71-408a0d00eb64' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>River Flow</dd><dt><span>units :</span></dt><dd>m3 s-1</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 7.42 TiB </td>\n",
" <td> 153.81 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (367439, 2776738) </td>\n",
" <td> (672, 30000) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 50872 Tasks </td>\n",
" <td> 50871 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float64 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"90\" 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",
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],
"source": [
"describe('chrtout')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Precipitation forcing"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Please click on the dropdown carets, metadata (file) symbols, and the datainformation (silos) symbols below for additional information.\n"
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"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
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".xr-var-dims {\n",
" grid-column: 2;\n",
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"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
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"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
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"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
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"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
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"\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
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"\n",
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".xr-attrs dt,\n",
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" padding-right: 10px;\n",
" width: auto;\n",
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"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
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"}\n",
"\n",
".xr-icon-database,\n",
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" display: inline-block;\n",
" vertical-align: middle;\n",
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" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
"Dimensions: (time: 367440, y: 3840, x: 4608)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-02-01 ... 2020-12-31T23:00:00\n",
" * x (x) float64 -2.303e+06 -2.302e+06 ... 2.303e+06 2.304e+06\n",
" * y (y) float64 -1.92e+06 -1.919e+06 ... 1.918e+06 1.919e+06\n",
"Data variables:\n",
" RAINRATE (time, y, x) float32 dask.array<chunksize=(672, 350, 350), meta=np.ndarray>\n",
" crs |S1 ...\n",
"Attributes:\n",
" NWM_version_number: v2.1\n",
" model_configuration: AORC\n",
" model_output_type: forcing</pre><div class='xr-wrap' hidden><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-b584d5a6-63e2-43d8-ab74-fdf6ae029abc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b584d5a6-63e2-43d8-ab74-fdf6ae029abc' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 367440</li><li><span class='xr-has-index'>y</span>: 3840</li><li><span class='xr-has-index'>x</span>: 4608</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fd3afc22-dd85-474f-9611-fb6a19ea8dc3' class='xr-section-summary-in' type='checkbox' checked><label for='section-fd3afc22-dd85-474f-9611-fb6a19ea8dc3' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-02-01 ... 2020-12-31T23:00:00</div><input id='attrs-50ef08f1-a962-4235-92f0-95a3d6b285fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50ef08f1-a962-4235-92f0-95a3d6b285fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3e67764-9d5e-49c9-8dde-a4ace71ce36d' class='xr-var-data-in' type='checkbox'><label for='data-f3e67764-9d5e-49c9-8dde-a4ace71ce36d' 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>valid output time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['1979-02-01T00:00:00.000000000', '1979-02-01T01:00:00.000000000',\n",
" '1979-02-01T02:00:00.000000000', ..., '2020-12-31T21:00:00.000000000',\n",
" '2020-12-31T22:00:00.000000000', '2020-12-31T23:00:00.000000000'],\n",
" dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.303e+06 -2.302e+06 ... 2.304e+06</div><input id='attrs-e28cadc1-0452-48b4-bc76-75cebf751335' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e28cadc1-0452-48b4-bc76-75cebf751335' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-016bd4f8-2287-4411-aab3-8ba6d0741613' class='xr-var-data-in' type='checkbox'><label for='data-016bd4f8-2287-4411-aab3-8ba6d0741613' 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>_CoordinateAxisType :</span></dt><dd>GeoX</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>resolution :</span></dt><dd>1000.0</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-2303499.25, -2302499.25, -2301499.25, ..., 2301500.75, 2302500.75,\n",
" 2303500.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.92e+06 -1.919e+06 ... 1.919e+06</div><input id='attrs-e7b2c917-b773-4c7d-bf48-e1f835ec319d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7b2c917-b773-4c7d-bf48-e1f835ec319d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f95bf341-d973-400a-a9e5-6449925fca5a' class='xr-var-data-in' type='checkbox'><label for='data-f95bf341-d973-400a-a9e5-6449925fca5a' 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>_CoordinateAxisType :</span></dt><dd>GeoY</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>resolution :</span></dt><dd>1000.0</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-1919500.375, -1918500.375, -1917500.375, ..., 1917499.625,\n",
" 1918499.625, 1919499.625])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26b22f91-59d4-45c7-955b-cda46a975ef3' class='xr-section-summary-in' type='checkbox' checked><label for='section-26b22f91-59d4-45c7-955b-cda46a975ef3' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>RAINRATE</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(672, 350, 350), meta=np.ndarray></div><input id='attrs-1109ab3d-c91a-42ac-b08c-908dee7bc78c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1109ab3d-c91a-42ac-b08c-908dee7bc78c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-730d9382-52b7-4830-a154-48771499b179' class='xr-var-data-in' type='checkbox'><label for='data-730d9382-52b7-4830-a154-48771499b179' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>esri_pe_string :</span></dt><dd>PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface Precipitation Rate</dd><dt><span>proj4 :</span></dt><dd>+proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1=30.0 +lat_2=60.0 +lat_0=40.0 +lon_0=-97.0 +x_0=0 +y_0=0 +k_0=1.0 +nadgrids=@null +wktext +no_defs </dd><dt><span>remap :</span></dt><dd>remapped via ESMF regrid_with_weights: Bilinear</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>units :</span></dt><dd>mm s^-1</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
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" <tbody>\n",
" \n",
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" <th> Bytes </th>\n",
" <td> 23.65 TiB </td>\n",
" <td> 314.03 MiB </td>\n",
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" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (367440, 3840, 4608) </td>\n",
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" <tr>\n",
" <th> Count </th>\n",
" <td> 84239 Tasks </td>\n",
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],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 367440, y: 3840, x: 4608)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-02-01 ... 2020-12-31T23:00:00\n",
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"Data variables:\n",
" RAINRATE (time, y, x) float32 dask.array<chunksize=(672, 350, 350), meta=np.ndarray>\n",
" crs |S1 ...\n",
"Attributes:\n",
" NWM_version_number: v2.1\n",
" model_configuration: AORC\n",
" model_output_type: forcing"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"describe('precip')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## LDASOUT: Land model (NoahMP) output"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Please click on the dropdown carets, metadata (file) symbols, and the datainformation (silos) symbols below for additional information.\n"
]
},
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"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
"Dimensions: (time: 122479, y: 3840, x: 4608, vis_nir: 2, soil_layers_stag: 4)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-02-01T03:00:00 ... 2020-12-31T21:00:00\n",
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" * y (y) float64 -1.92e+06 -1.919e+06 ... 1.918e+06 1.919e+06\n",
"Dimensions without coordinates: vis_nir, soil_layers_stag\n",
"Data variables: (12/20)\n",
" ACCET (time, y, x) float64 dask.array<chunksize=(224, 350, 350), meta=np.ndarray>\n",
" ACSNOM (time, y, x) float64 dask.array<chunksize=(224, 350, 350), meta=np.ndarray>\n",
" ALBEDO (time, y, x) float64 dask.array<chunksize=(224, 350, 350), meta=np.ndarray>\n",
" ALBSND (time, y, vis_nir, x) float64 dask.array<chunksize=(224, 350, 1, 350), meta=np.ndarray>\n",
" ALBSNI (time, y, vis_nir, x) float64 dask.array<chunksize=(224, 350, 1, 350), meta=np.ndarray>\n",
" COSZ (time, y, x) float64 dask.array<chunksize=(224, 350, 350), meta=np.ndarray>\n",
" ... ...\n",
" SNEQV (time, y, x) float64 dask.array<chunksize=(224, 350, 350), meta=np.ndarray>\n",
" SNOWH (time, y, x) float64 dask.array<chunksize=(224, 350, 350), meta=np.ndarray>\n",
" SOIL_M (time, y, soil_layers_stag, x) float64 dask.array<chunksize=(224, 350, 1, 350), meta=np.ndarray>\n",
" SOIL_W (time, y, soil_layers_stag, x) float64 dask.array<chunksize=(224, 350, 1, 350), meta=np.ndarray>\n",
" TRAD (time, y, x) float64 dask.array<chunksize=(224, 350, 350), meta=np.ndarray>\n",
" UGDRNOFF (time, y, x) float64 dask.array<chunksize=(224, 350, 350), meta=np.ndarray>\n",
"Attributes:\n",
" Conventions: CF-1.6\n",
" GDAL_DataType: Generic\n",
" TITLE: OUTPUT FROM WRF-Hydro v5.2.0-beta2\n",
" code_version: v5.2.0-beta2\n",
" model_configuration: retrospective\n",
" model_output_type: land\n",
" proj4: +proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1...</pre><div class='xr-wrap' hidden><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-69c73e50-5380-440f-8099-35b499408a05' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-69c73e50-5380-440f-8099-35b499408a05' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 122479</li><li><span class='xr-has-index'>y</span>: 3840</li><li><span class='xr-has-index'>x</span>: 4608</li><li><span>vis_nir</span>: 2</li><li><span>soil_layers_stag</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2f6c2fbc-9fd3-4e4c-beaf-b3772d5a7686' class='xr-section-summary-in' type='checkbox' checked><label for='section-2f6c2fbc-9fd3-4e4c-beaf-b3772d5a7686' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-02-01T03:00:00 ... 2020-12-...</div><input id='attrs-835ce2bf-120e-4fa3-a660-c87124c4f4d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-835ce2bf-120e-4fa3-a660-c87124c4f4d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-294bc892-cb4e-41c8-84f6-54230f45a016' class='xr-var-data-in' type='checkbox'><label for='data-294bc892-cb4e-41c8-84f6-54230f45a016' 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>valid output time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>valid_max :</span></dt><dd>4862880</dd><dt><span>valid_min :</span></dt><dd>4778100</dd></dl></div><div class='xr-var-data'><pre>array(['1979-02-01T03:00:00.000000000', '1979-02-01T06:00:00.000000000',\n",
" '1979-02-01T09:00:00.000000000', ..., '2020-12-31T15:00:00.000000000',\n",
" '2020-12-31T18:00:00.000000000', '2020-12-31T21:00:00.000000000'],\n",
" dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.303e+06 -2.302e+06 ... 2.304e+06</div><input id='attrs-47b99424-dbd6-4bac-89e9-18b5410da7a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47b99424-dbd6-4bac-89e9-18b5410da7a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9677356a-e41a-48b2-bf0b-8754c80eb7f9' class='xr-var-data-in' type='checkbox'><label for='data-9677356a-e41a-48b2-bf0b-8754c80eb7f9' 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>_CoordinateAxisType :</span></dt><dd>GeoX</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>resolution :</span></dt><dd>1000.0</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-2303499.25, -2302499.25, -2301499.25, ..., 2301500.75, 2302500.75,\n",
" 2303500.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.92e+06 -1.919e+06 ... 1.919e+06</div><input id='attrs-3fd1b8de-93a9-447f-a070-7aacd45e947c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fd1b8de-93a9-447f-a070-7aacd45e947c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da5ad5fe-49f8-4b98-9ce3-0046e7f721b9' class='xr-var-data-in' type='checkbox'><label for='data-da5ad5fe-49f8-4b98-9ce3-0046e7f721b9' 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>_CoordinateAxisType :</span></dt><dd>GeoY</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>resolution :</span></dt><dd>1000.0</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-1919500.375, -1918500.375, -1917500.375, ..., 1917499.625,\n",
" 1918499.625, 1919499.625])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3b049a1a-5f3c-426b-bd0a-d13d8eb6d09a' class='xr-section-summary-in' type='checkbox' ><label for='section-3b049a1a-5f3c-426b-bd0a-d13d8eb6d09a' class='xr-section-summary' >Data variables: <span>(20)</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>ACCET</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(224, 350, 350), meta=np.ndarray></div><input id='attrs-736c75f6-bc8d-4dcf-a71f-b5ca8d3285d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-736c75f6-bc8d-4dcf-a71f-b5ca8d3285d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-442d6482-262e-4034-9d1a-4e63d2ab9dcc' class='xr-var-data-in' type='checkbox'><label for='data-442d6482-262e-4034-9d1a-4e63d2ab9dcc' 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>esri_pe_string :</span></dt><dd>PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Accumulated total ET</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>valid_range :</span></dt><dd>[-100000, 100000000]</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 15.77 TiB </td>\n",
" <td> 209.35 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (122479, 3840, 4608) </td>\n",
" <td> (224, 350, 350) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 84239 Tasks </td>\n",
" <td> 84238 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float64 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ACSNOM</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(224, 350, 350), meta=np.ndarray></div><input id='attrs-68cd0abb-652b-4518-a7b3-ea3246a2ce6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68cd0abb-652b-4518-a7b3-ea3246a2ce6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8cdc47d-ef47-4972-bc86-c689bd954828' class='xr-var-data-in' type='checkbox'><label for='data-a8cdc47d-ef47-4972-bc86-c689bd954828' 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>esri_pe_string :</span></dt><dd>PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>accumulated melting water out of snow bottom</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>valid_range :</span></dt><dd>[0, 10000000]</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 15.77 TiB </td>\n",
" <td> 209.35 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (122479, 3840, 4608) </td>\n",
" <td> (224, 350, 350) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 84239 Tasks </td>\n",
" <td> 84238 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float64 </td>\n",
" <td> numpy.ndarray </td>\n",
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" <td> 15.77 TiB </td>\n",
" <td> 209.35 MiB </td>\n",
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],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 122479, y: 3840, x: 4608, vis_nir: 2, soil_layers_stag: 4)\n",
"Coordinates:\n",
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" COSZ (time, y, x) float64 dask.array<chunksize=(224, 350, 350), meta=np.ndarray>\n",
" ... ...\n",
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" SNOWH (time, y, x) float64 dask.array<chunksize=(224, 350, 350), meta=np.ndarray>\n",
" SOIL_M (time, y, soil_layers_stag, x) float64 dask.array<chunksize=(224, 350, 1, 350), meta=np.ndarray>\n",
" SOIL_W (time, y, soil_layers_stag, x) float64 dask.array<chunksize=(224, 350, 1, 350), meta=np.ndarray>\n",
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"Attributes:\n",
" Conventions: CF-1.6\n",
" GDAL_DataType: Generic\n",
" TITLE: OUTPUT FROM WRF-Hydro v5.2.0-beta2\n",
" code_version: v5.2.0-beta2\n",
" model_configuration: retrospective\n",
" model_output_type: land\n",
" proj4: +proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1..."
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"describe('ldasout')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## RTOUT: Overland and subsurface routing model output"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Please click on the dropdown carets, metadata (file) symbols, and the datainformation (silos) symbols below for additional information.\n"
]
},
{
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"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
"Dimensions: (time: 122479, y: 15360, x: 18432)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-02-01T03:00:00 ... 2020-12-31T21...\n",
" * x (x) float64 -2.304e+06 -2.304e+06 ... 2.304e+06 2.304e+06\n",
" * y (y) float64 -1.92e+06 -1.92e+06 ... 1.92e+06 1.92e+06\n",
"Data variables:\n",
" crs |S1 ...\n",
" sfcheadsubrt (time, y, x) float64 dask.array<chunksize=(224, 350, 350), meta=np.ndarray>\n",
" zwattablrt (time, y, x) float64 dask.array<chunksize=(224, 350, 350), meta=np.ndarray>\n",
"Attributes:\n",
" Conventions: CF-1.6\n",
" GDAL_DataType: Generic\n",
" TITLE: OUTPUT FROM WRF-Hydro v5.2.0-beta2\n",
" code_version: v5.2.0-beta2\n",
" model_configuration: retrospective\n",
" model_output_type: terrain_rt\n",
" proj4: +proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1...</pre><div class='xr-wrap' hidden><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-0e11b4b8-9aa1-4517-85c1-483286a2f3af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0e11b4b8-9aa1-4517-85c1-483286a2f3af' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 122479</li><li><span class='xr-has-index'>y</span>: 15360</li><li><span class='xr-has-index'>x</span>: 18432</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-212cb0cf-c472-478b-a34f-7e135da2b4c9' class='xr-section-summary-in' type='checkbox' checked><label for='section-212cb0cf-c472-478b-a34f-7e135da2b4c9' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-02-01T03:00:00 ... 2020-12-...</div><input id='attrs-d962c115-334e-4634-b05c-d47839cd2204' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d962c115-334e-4634-b05c-d47839cd2204' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-676a45f2-d75d-4642-9beb-96c8f82e1f5e' class='xr-var-data-in' type='checkbox'><label for='data-676a45f2-d75d-4642-9beb-96c8f82e1f5e' 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>valid output time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>valid_max :</span></dt><dd>4862880</dd><dt><span>valid_min :</span></dt><dd>4777980</dd></dl></div><div class='xr-var-data'><pre>array(['1979-02-01T03:00:00.000000000', '1979-02-01T06:00:00.000000000',\n",
" '1979-02-01T09:00:00.000000000', ..., '2020-12-31T15:00:00.000000000',\n",
" '2020-12-31T18:00:00.000000000', '2020-12-31T21:00:00.000000000'],\n",
" dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.304e+06 -2.304e+06 ... 2.304e+06</div><input id='attrs-e788f02d-2853-4e3f-b9f0-4c8ef67fae50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e788f02d-2853-4e3f-b9f0-4c8ef67fae50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31ed8914-c973-4955-975e-dc0717d7aa09' class='xr-var-data-in' type='checkbox'><label for='data-31ed8914-c973-4955-975e-dc0717d7aa09' 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>_CoordinateAxisType :</span></dt><dd>GeoX</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>resolution :</span></dt><dd>250.0</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-2303875., -2303625., -2303375., ..., 2303375., 2303625., 2303875.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.92e+06 -1.92e+06 ... 1.92e+06</div><input id='attrs-47ca36ab-db37-4509-9c33-dd2447bf6d82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47ca36ab-db37-4509-9c33-dd2447bf6d82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-151c4bb1-e66e-4913-b947-4116b9d7832b' class='xr-var-data-in' type='checkbox'><label for='data-151c4bb1-e66e-4913-b947-4116b9d7832b' 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>_CoordinateAxisType :</span></dt><dd>GeoY</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>resolution :</span></dt><dd>250.0</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-1919875., -1919625., -1919375., ..., 1919375., 1919625., 1919875.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ca0206c-aa63-44ab-b05a-17937921675f' class='xr-section-summary-in' type='checkbox' checked><label for='section-4ca0206c-aa63-44ab-b05a-17937921675f' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c1e9342a-286f-4520-b717-1404ba51e85d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1e9342a-286f-4520-b717-1404ba51e85d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-361f6816-b9c4-4fac-8a3b-50c723ab454b' class='xr-var-data-in' type='checkbox'><label for='data-361f6816-b9c4-4fac-8a3b-50c723ab454b' 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>GeoTransform :</span></dt><dd>-2303999.17655 250.0 0 1919999.66329 0 -250.0</dd><dt><span>_CoordinateAxes :</span></dt><dd>y x</dd><dt><span>_CoordinateTransformType :</span></dt><dd>Projection</dd><dt><span>earth_radius :</span></dt><dd>6370000.0</dd><dt><span>esri_pe_string :</span></dt><dd>PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>40.0</dd><dt><span>long_name :</span></dt><dd>CRS definition</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-97.0</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6370000.0</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision</dd><dt><span>standard_parallel :</span></dt><dd>[30.0, 60.0]</dd><dt><span>transform_name :</span></dt><dd>lambert_conformal_conic</dd></dl></div><div class='xr-var-data'><pre>array(b'', dtype='|S1')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sfcheadsubrt</span></div><div class='xr-var-dims'>(time, y, x)</div><div 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" <td> 1275605 Tasks </td>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zwattablrt</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(224, 350, 350), meta=np.ndarray></div><input id='attrs-efd5581d-a9c7-4af8-a379-6d85eff78375' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efd5581d-a9c7-4af8-a379-6d85eff78375' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fd94493-a2d5-4960-ba2e-57c4d9485790' class='xr-var-data-in' type='checkbox'><label for='data-4fd94493-a2d5-4960-ba2e-57c4d9485790' 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>esri_pe_string :</span></dt><dd>PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>depth to saturation, rounded to highest saturated layer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 252.30 TiB </td>\n",
" <td> 209.35 MiB </td>\n",
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" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (122479, 15360, 18432) </td>\n",
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],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 122479, y: 15360, x: 18432)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-02-01T03:00:00 ... 2020-12-31T21...\n",
" * x (x) float64 -2.304e+06 -2.304e+06 ... 2.304e+06 2.304e+06\n",
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" Conventions: CF-1.6\n",
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" TITLE: OUTPUT FROM WRF-Hydro v5.2.0-beta2\n",
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"source": [
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