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{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Build a validation ndvi and weather dataset"
]
},
Jeremy Auclair
committed
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr\n",
Jeremy Auclair
committed
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"data_path = '/mnt/e/DATA/DEV_inputs_test'\n",
"\n",
"size = 10\n",
"\n",
"# Original sets\n",
"ndvi_path = data_path + os.sep + 'ndvi_' + str(size) + '.nc'\n",
"rain_path = data_path + os.sep + 'rain_' + str(size) + '.tif'\n",
"ET0_path = data_path + os.sep + 'ET0_' + str(size) + '.tif'\n",
"\n",
"# Validation sets\n",
"val_ndvi_path = data_path + os.sep + 'xls_NDVI_' + str(size) + '.nc'\n",
"rain_path = data_path + os.sep + 'xls_Rain_' + str(size) + '.tif'\n",
"val_ET0_path = data_path + os.sep + 'xls_ET0_' + str(size) + '.tif'\n",
"val_outputs = data_path + os.sep + 'xls_outputs_' + str(size) + '.nc'\n",
"\n",
"# Modspa excel file\n",
"xls_file_path = '/home/auclairj/GIT/modspa-pixel/SAMIR_xls/SAMIRpixel_Reference_Simonneaux2012.xls'"
Jeremy Auclair
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"execution_count": 2,
"# Get input data\n",
"modspa_excel = pd.read_excel(xls_file_path, sheet_name=0, header=10, index_col=0)\n",
"modspa_excel = modspa_excel.loc[:, ~modspa_excel.columns.str.contains('^Unnamed')]\n",
"\n",
"# Dates\n",
"\n",
"# Open empty dataset to get structure and reindex with correct dates\n",
"empty_dataset = xr.open_dataset(ndvi_path)\n",
"empty_dataset = empty_dataset.reindex(time = dates)\n",
"\n",
"# Transpose dimensions\n",
"empty_dataset = empty_dataset.transpose('time', 'y', 'x')\n",
"\n",
"# Get the numpy array for 'ndvi'\n",
"zero_values = empty_dataset['ndvi'].values\n",
"\n",
"# Transpose the numpy array for 'ndvi'\n",
"zero_values = zero_values.transpose([0,2,1])\n",
"empty_dataset['ndvi'] = empty_dataset.ndvi.transpose('time', 'y', 'x')\n",
"\n",
"# Assign the transposed numpy array back to 'ndvi'\n",
"empty_dataset.ndvi.values = zero_values\n",
"\n",
"# Drop ndvi to get empty dataset\n",
"empty_dataset = empty_dataset.drop_vars('ndvi')\n",
"\n",
"# Datasets\n",
"ndvi_val = empty_dataset.copy(deep = True)\n",
"rain_val = empty_dataset.copy(deep = True)\n",
"ET0_val = empty_dataset.copy(deep = True)\n",
"outputs_val = empty_dataset.copy(deep = True)\n",
"\n",
"# Inputs\n",
"ndvi_val['NDVI'] = (empty_dataset.dims, np.zeros(tuple(empty_dataset.dims[d] for d in list(empty_dataset.dims)), dtype = 'uint8'))\n",
"rain_val['Rain'] = (empty_dataset.dims, np.zeros(tuple(empty_dataset.dims[d] for d in list(empty_dataset.dims)), dtype = 'uint16'))\n",
"ET0_val['ET0'] = (empty_dataset.dims, np.zeros(tuple(empty_dataset.dims[d] for d in list(empty_dataset.dims)), dtype = 'uint16'))\n",
"\n",
"# Outputs\n",
" outputs_val[var] = (empty_dataset.dims, np.zeros(tuple(empty_dataset.dims[d] for d in list(empty_dataset.dims)), dtype = 'int16'))\n",
"\n",
"for x in ndvi_val.coords['x'].values:\n",
" for y in ndvi_val.coords['y'].values:\n",
" # Inputs\n",
" ndvi_val['NDVI'].loc[{'x' : x, 'y' : y}] = np.round(modspa_excel['NDVI'].values * 255)\n",
" rain_val['Rain'].loc[{'x' : x, 'y' : y}] = np.round(modspa_excel['Rain'].values * 1000)\n",
" ET0_val['ET0'].loc[{'x' : x, 'y' : y}] = np.round(modspa_excel['ET0'].values * 1000)\n",
"\n",
" # Outputs\n",
" for var in list(outputs_val.keys()):\n",
" outputs_val[var].loc[{'x' : x, 'y' : y}] = np.round(modspa_excel[var].values * 100)\n",
Jeremy Auclair
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"# Add precip\n",
"outputs_val['Rain'] = rain_val['Rain'].copy(deep = True) / 10\n",
Jeremy Auclair
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"\n",
"# Reorganize dimension order\n",
"ndvi_val = ndvi_val.transpose('time', 'y', 'x')\n",
"rain_val = rain_val.transpose('time', 'y', 'x')\n",
"ET0_val = ET0_val.transpose('time', 'y', 'x')\n",
"\n",
"# Save datasets\n",
"# Inputs\n",
"ndvi_val.to_netcdf(val_ndvi_path, encoding = {\"NDVI\": {\"dtype\": \"u1\", \"_FillValue\": 0}})\n",
"rain_val.Rain.rio.to_raster(rain_path, dtype = 'uint16')\n",
"ET0_val.ET0.rio.to_raster(val_ET0_path, dtype = 'uint16')\n",
"\n",
"# Create encoding dictionnary\n",
"for variable in list(outputs_val.keys()):\n",
" # Write encoding dict\n",
" encoding_dict = {}\n",
" encod = {}\n",
" encod['dtype'] = 'i2'\n",
" encoding_dict[variable] = encod\n",
"\n",
"# Outputs\n",
"outputs_val.to_netcdf(val_outputs, encoding = encoding_dict)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Compare `modspa-pixel` and `modspa-excel` outputs"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1400x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import os\n",
"import xarray as xr\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib import rcParams\n",
"import matplotlib.dates as mdates\n",
"\n",
"# Settings for plots\n",
"plt.style.use('default')\n",
"rcParams['mathtext.fontset'] = 'stix'\n",
"rcParams['font.family'] = 'STIXGeneral'\n",
"rcParams.update({'font.size': 18})\n",
"# Date format\n",
"date_plot_format = mdates.WeekdayLocator(interval=6)\n",
"date_format = mdates.DateFormatter('%Y-%m')\n",
"\n",
"def plot_time_series(ds1: xr.Dataset, var: str, ds2:xr.Dataset = None, label1: str = 'Dataset1', label2: str = 'Dataset2', scale_factor1: float = 1000, scale_factor2: float = 1000, unit: str = 'mm', title: str = 'variable comparison') -> None:\n",
" Plot times series of a uniform modspa dataset.\n",
" Select first pixel (upper left corner) and plot\n",
" its value over time.\n",
" 1. ds1: `xr.Dataset`\n",
" first dataset to plot\n",
" 2. var: `str`\n",
" name of variable to plot\n",
" 3. ds2: `xr.Dataset` `default = None`\n",
" second dataset to plot, optional\n",
" 4. label1: `str` `default = 'Dataset1'`\n",
" label for first dataset\n",
" 5. label2: `str` `default = 'Dataset2'`\n",
" label for second dataset, optional\n",
" 6. scale_factor1: `float` `default = 1000`\n",
" scale factor for first dataset to\n",
" divide the time series in order to\n",
" plot the correct variable values\n",
" 7. scale_factor2: `float` `default = 1000`\n",
" scale factor for second dataset to\n",
" divide the time series in order to\n",
" plot the correct variable values\n",
" 8. unit: `str` `default = 'mm'`\n",
" unit of value\n",
" 9. title: `str` `default = 'variable comparison'`\n",
" title of plot\n",
" `None`\n",
" plt.figure(figsize = (14,7))\n",
" plt.grid(color='silver', linestyle='--', axis = 'both', linewidth=1)\n",
" plt.gca().xaxis.set_major_formatter(date_format)\n",
" plt.gca().xaxis.set_major_locator(date_plot_format)\n",
" (ds1.isel(x = 0, y = 0)[var] / scale_factor1).plot(label = label1, color = 'b', alpha = 0.8)\n",
" if ds2:\n",
" (ds2.isel(x = 0, y = 0)[var] / scale_factor2).plot(label = label2, color = 'r', alpha = 0.8)\n",
" plt.title(var + ' ' + title)\n",
" plt.ylabel(var + ' [' + unit + ']')\n",
" plt.legend()\n",
" return None\n",
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"\n",
"data_path = '/mnt/e/DATA/DEV_inputs_test'\n",
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"\n",
"size = 10\n",
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"\n",
"# Inputs\n",
"rain_path = data_path + os.sep + 'xls_Rain_' + str(size) + '.tif'\n",
"ET0_path = data_path + os.sep + 'xls_ET0_' + str(size) + '.tif'\n",
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"\n",
"# Modspa-pixel output\n",
"pix_outputs_path = data_path + os.sep + 'pix_outputs_' + str(size) + '.nc'\n",
"# Excel output\n",
"xls_outputs_path = data_path + os.sep + 'xls_outputs_' + str(size) + '.nc'\n",
"# Open datasets\n",
"pix_outputs = xr.open_dataset(pix_outputs_path)\n",
"xls_outputs = xr.open_dataset(xls_outputs_path)\n",
"rain = xr.open_dataset(rain_path).rename({'band_data': 'rain', 'band': 'time'})\n",
"ET0 = xr.open_dataset(ET0_path).rename({'band_data': 'ET0', 'band': 'time'})\n",
"# outputs = xr.where(outputs < 0, 0, outputs)\n",
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"\n",
"# Compute differences\n",
"variables = list(set(list(pix_outputs.keys())).intersection(set(list(xls_outputs.keys()))))\n",
"diff = pix_outputs.drop_vars(variables).copy(deep = True)\n",
"i = 0\n",
"for var in variables:\n",
" if var in ['E', 'Tr', 'SWCe', 'SWCr', 'DP', 'Irr']:\n",
" diff[var] = (pix_outputs[var].copy(deep=True) - xls_outputs[var].copy(deep=True) * 10) / 1000\n",
" else:\n",
" diff[var] = (pix_outputs[var].copy(deep=True) - xls_outputs[var].copy(deep=True)) / 100\n",
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"\n",
"# Get values\n",
"differences_sum = {}\n",
"differences_mean = {}\n",
" differences_sum[var] = round(float(diff[var].sum(dim = 'time').mean().values), 3)\n",
" differences_mean[var] = round(float(diff[var].mean(dim = 'time').mean().values), 3)\n",
"# print('Difference on sum :', differences_sum)\n",
"# print('Difference on mean :', differences_mean)\n",
"\n",
"plt.figure(figsize=(14, 7))\n",
"plt.grid(color='silver', linestyle='--', axis='y', linewidth=1)\n",
"plt.bar(range(len(differences_mean)), list(differences_mean.values()), align='center')\n",
"plt.xticks(range(len(differences_mean)), list(differences_mean.keys()), rotation='vertical')\n",
"plt.title('Difference on mean')\n",
"plt.show()\n",
"\n",
"# plt.figure(figsize=(14, 7))\n",
"# plt.grid(color='silver', linestyle='--', axis='y', linewidth=1)\n",
"# plt.bar(range(len(differences_sum)), list(differences_sum.values()), align='center')\n",
"# plt.xticks(range(len(differences_sum)), list(differences_sum.keys()), rotation='vertical')\n",
"# plt.title('Difference on sum')\n",
"# plt.show()"
Jeremy Auclair
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"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1400x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
Jeremy Auclair
committed
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1400x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
Jeremy Auclair
committed
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1400x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
Jeremy Auclair
committed
}
],
"# Dataset pixel, Tr, E, SWCe, SWCr, Irr, DP : scale factor: 1000\n",
"plot_time_series(ds1 = xls_outputs, ds2 = pix_outputs, var = 'Dr', label1 = 'Excel values', label2 = 'Pixel values', scale_factor1 = 100, scale_factor2 = 100, unit = 'mm')\n",
"plot_time_series(ds1 = xls_outputs, ds2 = pix_outputs, var = 'TDW', label1 = 'Excel values', label2 = 'Pixel values', scale_factor1 = 100, scale_factor2 = 100, unit = 'mm')\n",
"plot_time_series(ds1 = xls_outputs, ds2 = pix_outputs, var = 'DP', label1 = 'Excel values', label2 = 'Pixel values', scale_factor1 = 100, scale_factor2 = 1000, unit = 'mm')"
"execution_count": 5,
Jeremy Auclair
committed
"outputs": [
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" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: '►';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
"Dimensions: (x: 10, y: 10, time: 297)\n",
"Coordinates:\n",
" * x (x) float64 7e+05 7e+05 7e+05 ... 7.001e+05 7.001e+05 7.002e+05\n",
" * y (y) float64 4.7e+06 4.7e+06 4.7e+06 ... 4.7e+06 4.7e+06 4.7e+06\n",
" * time (time) datetime64[ns] 2006-02-06 2006-02-07 ... 2006-11-29\n",
" spatial_ref int64 ...\n",
"Data variables: (12/19)\n",
" Kcb (x, y, time) int16 ...\n",
" Zr (x, y, time) int16 ...\n",
" TAW (x, y, time) int16 ...\n",
" TDW (x, y, time) int16 ...\n",
" Irr (x, y, time) int16 ...\n",
" DP (x, y, time) int16 ...\n",
" ... ...\n",
" W (x, y, time) int16 ...\n",
" Kei (x, y, time) int16 ...\n",
" Kep (x, y, time) int16 ...\n",
" E (x, y, time) int16 ...\n",
" Ks (x, y, time) int16 ...\n",
" Tr (x, y, time) int16 ...</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-62d5c5d4-da1a-4dd4-87a2-5378024466d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-62d5c5d4-da1a-4dd4-87a2-5378024466d4' 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'>x</span>: 10</li><li><span class='xr-has-index'>y</span>: 10</li><li><span class='xr-has-index'>time</span>: 297</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8b854b60-5227-4b0c-965e-3e5698e6faa8' class='xr-section-summary-in' type='checkbox' checked><label for='section-8b854b60-5227-4b0c-965e-3e5698e6faa8' 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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7e+05 7e+05 ... 7.001e+05 7.002e+05</div><input id='attrs-97ee40a6-8663-4962-97fe-7601359c9d82' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-97ee40a6-8663-4962-97fe-7601359c9d82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c9a44e2-5b03-4876-8c69-c15ab33e661f' class='xr-var-data-in' type='checkbox'><label for='data-6c9a44e2-5b03-4876-8c69-c15ab33e661f' 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([699970., 699990., 700010., 700030., 700050., 700070., 700090., 700110.,\n",
" 700130., 700150.])</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'>4.7e+06 4.7e+06 ... 4.7e+06 4.7e+06</div><input id='attrs-164eb2e6-0a4d-40b4-b363-b3e7a2861a90' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-164eb2e6-0a4d-40b4-b363-b3e7a2861a90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-841b70d0-e159-4612-ae1c-0413650ebeed' class='xr-var-data-in' type='checkbox'><label for='data-841b70d0-e159-4612-ae1c-0413650ebeed' 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([4700030., 4700010., 4699990., 4699970., 4699950., 4699930., 4699910.,\n",
" 4699890., 4699870., 4699850.])</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'>2006-02-06 ... 2006-11-29</div><input id='attrs-d8c5b195-587a-4176-bcc5-bde2216f2edb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d8c5b195-587a-4176-bcc5-bde2216f2edb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9eea170a-cb5e-4391-b6d3-4bcb43274696' class='xr-var-data-in' type='checkbox'><label for='data-9eea170a-cb5e-4391-b6d3-4bcb43274696' 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(['2006-02-06T00:00:00.000000000', '2006-02-07T00:00:00.000000000',\n",
" '2006-02-08T00:00:00.000000000', ..., '2006-11-27T00:00:00.000000000',\n",
" '2006-11-28T00:00:00.000000000', '2006-11-29T00:00:00.000000000'],\n",
" dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0c85149-6d58-4238-a915-8503bc4268ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c0c85149-6d58-4238-a915-8503bc4268ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ef2b121-f10c-4b64-8d00-62e19db51693' class='xr-var-data-in' type='checkbox'><label for='data-8ef2b121-f10c-4b64-8d00-62e19db51693' 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=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d1c6182-ad3e-42be-8513-b145b8fcd38b' class='xr-section-summary-in' type='checkbox' ><label for='section-9d1c6182-ad3e-42be-8513-b145b8fcd38b' class='xr-section-summary' >Data variables: <span>(19)</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>Kcb</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d8b9c82-ddc0-46b9-9a08-0b679847deb4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4d8b9c82-ddc0-46b9-9a08-0b679847deb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fafded8-d540-4df7-883d-b89950337e10' class='xr-var-data-in' type='checkbox'><label for='data-4fafded8-d540-4df7-883d-b89950337e10' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zr</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b7eb7c0-accf-4961-bdc8-cde2842d8e79' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2b7eb7c0-accf-4961-bdc8-cde2842d8e79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24b0362d-036b-46b6-9310-bda23c4942a7' class='xr-var-data-in' type='checkbox'><label for='data-24b0362d-036b-46b6-9310-bda23c4942a7' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TAW</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ff0f6ba-2683-4577-aa7c-97240ac1d88c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ff0f6ba-2683-4577-aa7c-97240ac1d88c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-020b79c6-989e-412a-9f10-68fa81152779' class='xr-var-data-in' type='checkbox'><label for='data-020b79c6-989e-412a-9f10-68fa81152779' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TDW</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3cf72ebd-f867-4f4d-98b9-330900250d1a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3cf72ebd-f867-4f4d-98b9-330900250d1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9f04bb1-cb76-47df-a021-e39748c5a820' class='xr-var-data-in' type='checkbox'><label for='data-f9f04bb1-cb76-47df-a021-e39748c5a820' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Irr</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd4bbbf5-a5d7-48dd-b662-ee6132696e3f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd4bbbf5-a5d7-48dd-b662-ee6132696e3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37e159b1-1e43-48ff-8c4f-e70c9af658a3' class='xr-var-data-in' type='checkbox'><label for='data-37e159b1-1e43-48ff-8c4f-e70c9af658a3' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DP</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-31d80c43-e3a9-4515-a812-95b818f057b6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-31d80c43-e3a9-4515-a812-95b818f057b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-654e1fe7-57c0-4c29-87ba-b7bd1ae4a3cf' class='xr-var-data-in' type='checkbox'><label for='data-654e1fe7-57c0-4c29-87ba-b7bd1ae4a3cf' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Dei</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-635aa2a3-496e-4495-be5c-0b71725b1680' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-635aa2a3-496e-4495-be5c-0b71725b1680' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d635fdd7-e848-4a9c-afcd-727af70b6e75' class='xr-var-data-in' type='checkbox'><label for='data-d635fdd7-e848-4a9c-afcd-727af70b6e75' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Dep</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-45bdc4e1-d98a-450e-96c2-02384cfdb043' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45bdc4e1-d98a-450e-96c2-02384cfdb043' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d379099b-7f7f-446e-8d6c-d7b6588f127f' class='xr-var-data-in' type='checkbox'><label for='data-d379099b-7f7f-446e-8d6c-d7b6588f127f' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Dr</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5cc25feb-5a44-4e85-be17-8c6a357b6728' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5cc25feb-5a44-4e85-be17-8c6a357b6728' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b338142-5c87-4832-a362-0d6a44971fbd' class='xr-var-data-in' type='checkbox'><label for='data-5b338142-5c87-4832-a362-0d6a44971fbd' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWCe</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aa527b65-6aef-4581-8442-669bd02b32ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aa527b65-6aef-4581-8442-669bd02b32ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6c936aa-9a1b-42fc-8eaa-540af2a29d7c' class='xr-var-data-in' type='checkbox'><label for='data-a6c936aa-9a1b-42fc-8eaa-540af2a29d7c' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWCr</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b30a21e-0d80-4872-a88e-58aed308b9a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2b30a21e-0d80-4872-a88e-58aed308b9a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06116abd-c499-4264-87a3-61c38269fedb' class='xr-var-data-in' type='checkbox'><label for='data-06116abd-c499-4264-87a3-61c38269fedb' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fewi</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6526bd20-792c-4850-9666-7e047af9a8f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6526bd20-792c-4850-9666-7e047af9a8f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8d27047-eaa5-4a67-98a7-4f13743cdc5b' class='xr-var-data-in' type='checkbox'><label for='data-e8d27047-eaa5-4a67-98a7-4f13743cdc5b' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fewp</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6fa84755-c66b-45f7-a165-b13dd0ef8dbe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6fa84755-c66b-45f7-a165-b13dd0ef8dbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20e4a3f7-b1d0-43c6-b8fb-d3f3ef96f6ed' class='xr-var-data-in' type='checkbox'><label for='data-20e4a3f7-b1d0-43c6-b8fb-d3f3ef96f6ed' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>W</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-77e7de54-80f0-4e3b-aa08-1b2dd39b0ace' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-77e7de54-80f0-4e3b-aa08-1b2dd39b0ace' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-072fa7a9-9f07-429d-96a5-9ebddff9ebc5' class='xr-var-data-in' type='checkbox'><label for='data-072fa7a9-9f07-429d-96a5-9ebddff9ebc5' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Kei</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-609dc19a-5e4d-4192-94a3-0b704e158c40' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-609dc19a-5e4d-4192-94a3-0b704e158c40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8755ce53-7bef-4de5-a035-268d1dd669ae' class='xr-var-data-in' type='checkbox'><label for='data-8755ce53-7bef-4de5-a035-268d1dd669ae' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Kep</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-93455cf6-e58c-4e5b-88ee-11f8c2a8817b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93455cf6-e58c-4e5b-88ee-11f8c2a8817b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb3023f9-5930-4f87-a58e-ae725d8d8a38' class='xr-var-data-in' type='checkbox'><label for='data-eb3023f9-5930-4f87-a58e-ae725d8d8a38' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>E</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e23c9f10-c06f-4d4f-a060-ab67a9c8beaa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e23c9f10-c06f-4d4f-a060-ab67a9c8beaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd7823cd-feb3-465c-9ec9-3c3da388e84e' class='xr-var-data-in' type='checkbox'><label for='data-dd7823cd-feb3-465c-9ec9-3c3da388e84e' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ks</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-733702e0-9854-4e0f-b9a1-f876dfd960eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-733702e0-9854-4e0f-b9a1-f876dfd960eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-874d23e3-05b2-4f29-9797-5a34ae3bb127' class='xr-var-data-in' type='checkbox'><label for='data-874d23e3-05b2-4f29-9797-5a34ae3bb127' 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>[29700 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tr</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6148adb-89e9-4f36-b036-dfbba5a2e2ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6148adb-89e9-4f36-b036-dfbba5a2e2ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3329a3be-3bf3-47f5-b775-93539af9f87c' class='xr-var-data-in' type='checkbox'><label for='data-3329a3be-3bf3-47f5-b775-93539af9f87c' 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>[29700 values with dtype=int16]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ea073ca6-c6e1-4586-823f-8e4d5006938f' class='xr-section-summary-in' type='checkbox' ><label for='section-ea073ca6-c6e1-4586-823f-8e4d5006938f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8b241b31-ba51-4562-a993-88198428ae6a' class='xr-index-data-in' type='checkbox'/><label for='index-8b241b31-ba51-4562-a993-88198428ae6a' 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([699970.0, 699990.0, 700010.0, 700030.0, 700050.0, 700070.0, 700090.0,\n",
" 700110.0, 700130.0, 700150.0],\n",
" dtype='float64', name='x'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-43cbbbeb-4c36-4c01-9f25-9b4d74c2f453' class='xr-index-data-in' type='checkbox'/><label for='index-43cbbbeb-4c36-4c01-9f25-9b4d74c2f453' 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([4700030.0, 4700010.0, 4699990.0, 4699970.0, 4699950.0, 4699930.0,\n",
" 4699910.0, 4699890.0, 4699870.0, 4699850.0],\n",
" dtype='float64', name='y'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c5ac228e-625f-4f92-ba75-5dfe6ee6f5c8' class='xr-index-data-in' type='checkbox'/><label for='index-c5ac228e-625f-4f92-ba75-5dfe6ee6f5c8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['2006-02-06', '2006-02-07', '2006-02-08', '2006-02-09',\n",
" '2006-02-10', '2006-02-11', '2006-02-12', '2006-02-13',\n",
" '2006-02-14', '2006-02-15',\n",
" ...\n",
" '2006-11-20', '2006-11-21', '2006-11-22', '2006-11-23',\n",
" '2006-11-24', '2006-11-25', '2006-11-26', '2006-11-27',\n",
" '2006-11-28', '2006-11-29'],\n",
" dtype='datetime64[ns]', name='time', length=297, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-99ab75ab-16ac-4b4e-8ac3-8f374c6804d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-99ab75ab-16ac-4b4e-8ac3-8f374c6804d4' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (x: 10, y: 10, time: 297)\n",
"Coordinates:\n",
" * x (x) float64 7e+05 7e+05 7e+05 ... 7.001e+05 7.001e+05 7.002e+05\n",
" * y (y) float64 4.7e+06 4.7e+06 4.7e+06 ... 4.7e+06 4.7e+06 4.7e+06\n",
" * time (time) datetime64[ns] 2006-02-06 2006-02-07 ... 2006-11-29\n",
" spatial_ref int64 ...\n",
"Data variables: (12/19)\n",
" Kcb (x, y, time) int16 ...\n",
" Zr (x, y, time) int16 ...\n",
" TAW (x, y, time) int16 ...\n",
" TDW (x, y, time) int16 ...\n",
" Irr (x, y, time) int16 ...\n",
" DP (x, y, time) int16 ...\n",
" ... ...\n",
" W (x, y, time) int16 ...\n",
" Kei (x, y, time) int16 ...\n",
" Kep (x, y, time) int16 ...\n",
" E (x, y, time) int16 ...\n",
" Ks (x, y, time) int16 ...\n",
" Tr (x, y, time) int16 ..."
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
Jeremy Auclair
committed
}
],
"val_outputs"
]
},
{
"cell_type": "code",
"execution_count": 6,
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"outputs": [
{
"data": {
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"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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"</symbol>\n",
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"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: '►';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
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"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",