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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Step 1a: Generate forcing for any region from CARAVAN and CMIP for HBV model\n", | |
"\n", | |
"[TODO: change to CAMELS]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# eWaterCycle dependencies. \n", | |
"# note that we do not need to import the model when only generating forcing\n", | |
"import ewatercycle.forcing\n", | |
"import ewatercycle.observation.grdc\n", | |
"import ewatercycle.analysis\n", | |
"\n", | |
"#required other dependencies, \n", | |
"\n", | |
"from pathlib import Path\n", | |
"from cartopy.io import shapereader\n", | |
"import pandas as pd\n", | |
"import numpy as np\n", | |
"# from rich import print\n", | |
"import shutil\n", | |
"import os" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"#info on the region and the time periods of interest\n", | |
"\n", | |
"# GRDC Station ID for the Rhine at Lobith\n", | |
"# grdc_station_id = \"6335020\"\n", | |
"\n", | |
"# Location of shapefile \n", | |
"config_path = Path.cwd() / \"configFiles\"\n", | |
"forcing_path_camels = Path.cwd() / \"Forcing\" / \"Camels\"\n", | |
"forcing_path_CMIP = Path.cwd() / \"Forcing\" / \"CMIP\"\n", | |
"(Path.cwd() / \"Forcing\").mkdir()\n", | |
"forcing_path_camels.mkdir()\n", | |
"#shapeFileName = \"Rhine.shp\"\n", | |
"#catchmentShapeFile = path / shapeFileName\n", | |
"\n", | |
"HRU_ids = [\"03439000\"]\n", | |
"#HRU_ids = [\"01031500\"]\n", | |
"\n", | |
"# we will be creating forcing for an \"observation\" period where discharge observations\n", | |
"# are available. This must match the available ERA5 data on your machine and GRDC data\n", | |
"# the station of choice\n", | |
"observation_start_time = \"2000-01-01T00:00:00Z\"\n", | |
"observation_end_time = \"2005-12-31T00:00:00Z\"\n", | |
"\n", | |
"experiment_start_date = \"1997-08-01T00:00:00Z\"\n", | |
"experiment_end_date = \"2005-09-01T00:00:00Z\"\n", | |
"\n", | |
"# climate model meta-info to compare to for observational period. See step_0 notebook for explenation\n", | |
"# on what these terms mean. Here we choose the MPI-ESMI-1-2 climate model\n", | |
"cmip_dataset_observation = {\n", | |
" \"dataset\": \"MPI-ESM1-2-LR\",\n", | |
" \"project\": \"CMIP6\",\n", | |
" \"grid\": \"gn\",\n", | |
" \"exp\": \"historical\",\n", | |
" \"ensemble\": \"r3i1p1f1\",\n", | |
"}" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Forcing from Camels" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"<xarray.Dataset> Size: 1GB\n", | |
"Dimensions: (time: 14609, basin_id: 482)\n", | |
"Coordinates:\n", | |
" * time (time) datetime64[ns] 117kB 1981-01-0...\n", | |
" * basin_id (basin_id) |S64 31kB b'camels_0102250...\n", | |
"Data variables: (12/55)\n", | |
" timezone (basin_id) |S64 31kB ...\n", | |
" name (basin_id) |S64 31kB ...\n", | |
" country (basin_id) |S64 31kB ...\n", | |
" lat (basin_id) float64 4kB ...\n", | |
" lon (basin_id) float64 4kB ...\n", | |
" area (basin_id) float64 4kB ...\n", | |
" ... ...\n", | |
" volumetric_soil_water_layer_2_max (basin_id, time) float32 28MB ...\n", | |
" volumetric_soil_water_layer_3_max (basin_id, time) float32 28MB ...\n", | |
" volumetric_soil_water_layer_4_max (basin_id, time) float32 28MB ...\n", | |
" total_precipitation_sum (basin_id, time) float32 28MB ...\n", | |
" potential_evaporation_sum (basin_id, time) float32 28MB ...\n", | |
" streamflow (basin_id, time) float32 28MB ...\n", | |
"Attributes:\n", | |
" history: Wed Mar 27 16:11:00 2024: /usr/bin/ncap2 -s time=double(t...\n", | |
" NCO: netCDF Operators version 5.0.6 (Homepage = http://nco.sf....\n", | |
" _NCProperties: version=2,netcdf=4.8.1,hdf5=1.10.7\n" | |
] | |
} | |
], | |
"source": [ | |
"camels_xarray = ewatercycle.forcing.sources.CaravanForcing.get_dataset(\"camels\")\n", | |
"print(camels_xarray)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"camels_01532000\n" | |
] | |
} | |
], | |
"source": [ | |
"camels_basin_ids = ewatercycle.forcing.sources.CaravanForcing.get_basin_id(\"camels\")\n", | |
"print(camels_basin_ids[30])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 9, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"179\n" | |
] | |
} | |
], | |
"source": [ | |
"print(camels_basin_ids.index('camels_03439000'))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"forcing = ewatercycle.forcing.sources['CaravanForcing'].generate(start_time = experiment_start_date,\n", | |
" end_time = experiment_end_date,\n", | |
" directory = forcing_path_camels,\n", | |
" basin_id = camels_basin_ids[179],\n", | |
" )\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
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"</style><pre class='xr-text-repr-fallback'><xarray.Dataset> Size: 95kB\n", | |
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" name |S64 64B b'FRENCH BROAD RIVER AT ROSMAN, NC'\n", | |
" country |S64 64B b'United States of America'\n", | |
" lat float64 8B 35.14\n", | |
" ... ...\n", | |
" moisture_index float64 8B -0.6997\n", | |
" seasonality float64 8B 0.2885\n", | |
" high_prec_freq float64 8B 0.04833\n", | |
" high_prec_dur float64 8B 1.155\n", | |
" low_prec_freq float64 8B 0.5741\n", | |
" low_prec_dur float64 8B 3.493\n", | |
"Data variables:\n", | |
" Q (time) float32 12kB dask.array<chunksize=(2954,), meta=np.ndarray>\n", | |
" evspsblpot (time) float32 12kB dask.array<chunksize=(2954,), meta=np.ndarray>\n", | |
" pr (time) float32 12kB dask.array<chunksize=(2954,), meta=np.ndarray>\n", | |
" tas (time) float32 12kB dask.array<chunksize=(2954,), meta=np.ndarray>\n", | |
" tasmax (time) float32 12kB dask.array<chunksize=(2954,), meta=np.ndarray>\n", | |
" tasmin (time) float32 12kB dask.array<chunksize=(2954,), meta=np.ndarray></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-f0310de3-3f18-46f2-a551-d9c9a5d8a06b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0310de3-3f18-46f2-a551-d9c9a5d8a06b' 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>: 2954</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-275ff88c-b4b7-4ab8-ad84-89a145b07d19' class='xr-section-summary-in' type='checkbox' checked><label for='section-275ff88c-b4b7-4ab8-ad84-89a145b07d19' class='xr-section-summary' >Coordinates: <span>(18)</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'>1997-08-01 ... 2005-09-01</div><input id='attrs-dc2332ed-6930-4c72-8751-8864f3acfae6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc2332ed-6930-4c72-8751-8864f3acfae6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56d29231-0abb-4e32-98b9-f11722a44f17' class='xr-var-data-in' type='checkbox'><label for='data-56d29231-0abb-4e32-98b9-f11722a44f17' 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(['1997-08-01T00:00:00.000000000', '1997-08-02T00:00:00.000000000',\n", | |
" '1997-08-03T00:00:00.000000000', ..., '2005-08-30T00:00:00.000000000',\n", | |
" '2005-08-31T00:00:00.000000000', '2005-09-01T00:00:00.000000000'],\n", | |
" dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>basin_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S64</div><div class='xr-var-preview xr-preview'>b'camels_03439000'</div><input id='attrs-0cc72a31-f42b-414b-9bf0-9ae703fc9324' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0cc72a31-f42b-414b-9bf0-9ae703fc9324' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-880fc525-39ad-42d5-a697-9c05f6ed8ac5' class='xr-var-data-in' type='checkbox'><label for='data-880fc525-39ad-42d5-a697-9c05f6ed8ac5' 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(b'camels_03439000', dtype='|S64')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timezone</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S64</div><div class='xr-var-preview xr-preview'>b'America/New_York'</div><input id='attrs-ef84a49e-62de-47d3-9a1b-1c23e8f6c332' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef84a49e-62de-47d3-9a1b-1c23e8f6c332' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1798da7-f17b-4b41-928e-c26da4697243' class='xr-var-data-in' type='checkbox'><label for='data-c1798da7-f17b-4b41-928e-c26da4697243' 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(b'America/New_York', dtype='|S64')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>name</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S64</div><div class='xr-var-preview xr-preview'>b'FRENCH BROAD RIVER AT ROSMAN, NC'</div><input id='attrs-dc31ec0c-e615-4477-b79b-cc55187ecf77' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc31ec0c-e615-4477-b79b-cc55187ecf77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14605533-6329-4f03-a6ab-5a449879a90f' class='xr-var-data-in' type='checkbox'><label for='data-14605533-6329-4f03-a6ab-5a449879a90f' 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(b'FRENCH BROAD RIVER AT ROSMAN, NC', dtype='|S64')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>country</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S64</div><div class='xr-var-preview xr-preview'>b'United States of America'</div><input id='attrs-e1fed976-6b9a-44e0-b587-c07dd623b65b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1fed976-6b9a-44e0-b587-c07dd623b65b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b143468-0629-4000-bb4e-72ea328fa1ad' class='xr-var-data-in' type='checkbox'><label for='data-8b143468-0629-4000-bb4e-72ea328fa1ad' 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(b'United States of America', dtype='|S64')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.14</div><input id='attrs-21d9e934-5489-4f2f-a633-863d03f45a0b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21d9e934-5489-4f2f-a633-863d03f45a0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07e2c68d-f716-40dd-a550-7e795e66ac33' class='xr-var-data-in' type='checkbox'><label for='data-07e2c68d-f716-40dd-a550-7e795e66ac33' 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(35.14333)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-82.82</div><input id='attrs-2d4d8f93-8213-4793-8d18-df13e2863585' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d4d8f93-8213-4793-8d18-df13e2863585' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de3e8557-a8bd-4c9f-ac26-43d0d7a14307' class='xr-var-data-in' type='checkbox'><label for='data-de3e8557-a8bd-4c9f-ac26-43d0d7a14307' 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(-82.82472)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>178.0</div><input id='attrs-e0a0303c-7fd7-4afe-b10f-a470f9174288' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e0a0303c-7fd7-4afe-b10f-a470f9174288' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-334b8394-40a2-47e0-9456-0acb1e767717' class='xr-var-data-in' type='checkbox'><label for='data-334b8394-40a2-47e0-9456-0acb1e767717' 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(177.99471517)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_mean</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.171</div><input id='attrs-a9523bc1-6d0a-4153-b1d4-ad023e2afb69' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a9523bc1-6d0a-4153-b1d4-ad023e2afb69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffea067c-fa9b-4b74-86bc-c11eea12466e' class='xr-var-data-in' type='checkbox'><label for='data-ffea067c-fa9b-4b74-86bc-c11eea12466e' 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(4.17096995)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pet_mean</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.91</div><input id='attrs-57a49944-057d-4a86-a45e-08d7740abdce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-57a49944-057d-4a86-a45e-08d7740abdce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed7d8ee0-7714-44bb-9218-4bcc3678be36' class='xr-var-data-in' type='checkbox'><label for='data-ed7d8ee0-7714-44bb-9218-4bcc3678be36' 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(14.90556712)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aridity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.574</div><input id='attrs-47859eb1-72ca-4d1d-b412-65300871ad8c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47859eb1-72ca-4d1d-b412-65300871ad8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3761c637-13cb-4d84-8d8e-c49327e69597' class='xr-var-data-in' type='checkbox'><label for='data-3761c637-13cb-4d84-8d8e-c49327e69597' 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(3.57364529)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frac_snow</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-1f3de6ea-c5c3-4ab3-8bf8-0bcc8afb9977' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f3de6ea-c5c3-4ab3-8bf8-0bcc8afb9977' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3942c51-38e3-44a2-b74f-57104179b6ee' class='xr-var-data-in' type='checkbox'><label for='data-f3942c51-38e3-44a2-b74f-57104179b6ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>moisture_index</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.6997</div><input id='attrs-75427d7c-bb1c-4a4c-b0a5-0626d72d38e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-75427d7c-bb1c-4a4c-b0a5-0626d72d38e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cb0f82d-fc2c-4054-a806-d2bfec993916' class='xr-var-data-in' type='checkbox'><label for='data-5cb0f82d-fc2c-4054-a806-d2bfec993916' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(-0.69966536)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>seasonality</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2885</div><input id='attrs-29bf8d0f-9bf8-4c43-aec4-6178ed545acd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29bf8d0f-9bf8-4c43-aec4-6178ed545acd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9a3696d-abf8-49f9-8dce-2553e84aa50e' class='xr-var-data-in' type='checkbox'><label for='data-d9a3696d-abf8-49f9-8dce-2553e84aa50e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.28853321)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>high_prec_freq</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.04833</div><input id='attrs-de985872-7684-432a-b79b-bbdff7ff2560' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de985872-7684-432a-b79b-bbdff7ff2560' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eebd5a86-36e5-4fc0-bbea-8e2f3d65c8cf' class='xr-var-data-in' type='checkbox'><label for='data-eebd5a86-36e5-4fc0-bbea-8e2f3d65c8cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.04832637)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>high_prec_dur</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.155</div><input id='attrs-daf3b931-e84a-4634-b511-9a938243465a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-daf3b931-e84a-4634-b511-9a938243465a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e145f382-88ca-4d0f-9101-050e345ea657' class='xr-var-data-in' type='checkbox'><label for='data-e145f382-88ca-4d0f-9101-050e345ea657' 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(1.15548282)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_prec_freq</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5741</div><input id='attrs-9d0ba571-de7a-4fa7-829e-7835ab38cb8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d0ba571-de7a-4fa7-829e-7835ab38cb8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e22053f8-048b-43d8-98c3-8fdef46ddcca' class='xr-var-data-in' type='checkbox'><label for='data-e22053f8-048b-43d8-98c3-8fdef46ddcca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.57409816)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_prec_dur</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.493</div><input id='attrs-ef5745bd-583f-4fdf-9905-65a882d17109' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef5745bd-583f-4fdf-9905-65a882d17109' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c72561e6-7081-45de-a9e2-6fba2ead8005' class='xr-var-data-in' type='checkbox'><label for='data-c72561e6-7081-45de-a9e2-6fba2ead8005' 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(3.49312786)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d123dc5c-c672-47f4-a036-1d281c74d322' class='xr-section-summary-in' type='checkbox' checked><label for='section-d123dc5c-c672-47f4-a036-1d281c74d322' class='xr-section-summary' >Data variables: <span>(6)</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>Q</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(2954,), meta=np.ndarray></div><input id='attrs-ad41dbc6-e29a-4280-93eb-a8e4d9482dcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad41dbc6-e29a-4280-93eb-a8e4d9482dcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf4afc79-e72e-4631-b307-6b49d4839c3d' class='xr-var-data-in' type='checkbox'><label for='data-bf4afc79-e72e-4631-b307-6b49d4839c3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>unit :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>Observed streamflow</dd><dt><span>_ChunkSizes :</span></dt><dd>[ 241 7305]</dd><dt><span>history :</span></dt><dd>Wed Mar 27 16:11:00 2024: /usr/bin/ncap2 -s time=double(time) -O Caravan/camels.nc Caravan/camels.nc\n", | |
"Merged together from separate files; All forcing and state variables are derived from ERA5-Land hourly by ECMWF. Streamflow data was taken from the CAMELS (US) dataset by Newman et al. (2014).</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 11.54 kiB </td>\n", | |
" <td> 11.54 kiB </td>\n", | |
" </tr>\n", | |
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" <td> (2954,) </td>\n", | |
" <td> (2954,) </td>\n", | |
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" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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" </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>evspsblpot</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(2954,), meta=np.ndarray></div><input id='attrs-dea8ec14-b6f0-4223-a3c9-f76f4f323f6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dea8ec14-b6f0-4223-a3c9-f76f4f323f6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-361cd84f-656f-4f5d-906d-b496b247d6f1' class='xr-var-data-in' type='checkbox'><label for='data-361cd84f-656f-4f5d-906d-b496b247d6f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>unit :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>ERA5-Land Potential Evapotranspiration</dd><dt><span>_ChunkSizes :</span></dt><dd>[ 241 7305]</dd><dt><span>history :</span></dt><dd>Wed Mar 27 16:11:00 2024: /usr/bin/ncap2 -s time=double(time) -O Caravan/camels.nc Caravan/camels.nc\n", | |
"Merged together from separate files; All forcing and state variables are derived from ERA5-Land hourly by ECMWF. Streamflow data was taken from the CAMELS (US) dataset by Newman et al. (2014).</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 11.54 kiB </td>\n", | |
" <td> 11.54 kiB </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(2954,), meta=np.ndarray></div><input id='attrs-496da0d7-3378-464e-b031-b5d9cdb803ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-496da0d7-3378-464e-b031-b5d9cdb803ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c619ece-50d3-47bd-ad69-624f3a4d96eb' class='xr-var-data-in' type='checkbox'><label for='data-5c619ece-50d3-47bd-ad69-624f3a4d96eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>unit :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd><dt><span>_ChunkSizes :</span></dt><dd>[ 241 7305]</dd><dt><span>history :</span></dt><dd>Wed Mar 27 16:11:00 2024: /usr/bin/ncap2 -s time=double(time) -O Caravan/camels.nc Caravan/camels.nc\n", | |
"Merged together from separate files; All forcing and state variables are derived from ERA5-Land hourly by ECMWF. Streamflow data was taken from the CAMELS (US) dataset by Newman et al. (2014).</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 11.54 kiB </td>\n", | |
" <td> 11.54 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (2954,) </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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" </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(2954,), meta=np.ndarray></div><input id='attrs-26b6ca2c-9962-4a8f-935e-c8557dad3475' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26b6ca2c-9962-4a8f-935e-c8557dad3475' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee792ba9-4820-4f39-adc3-a2a5ad119e4e' class='xr-var-data-in' type='checkbox'><label for='data-ee792ba9-4820-4f39-adc3-a2a5ad119e4e' 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>2m air temperature</dd><dt><span>unit :</span></dt><dd>°C</dd><dt><span>_ChunkSizes :</span></dt><dd>[ 241 7305]</dd><dt><span>height :</span></dt><dd>2m</dd><dt><span>history :</span></dt><dd>Wed Mar 27 16:11:00 2024: /usr/bin/ncap2 -s time=double(time) -O Caravan/camels.nc Caravan/camels.nc\n", | |
"Merged together from separate files; All forcing and state variables are derived from ERA5-Land hourly by ECMWF. Streamflow data was taken from the CAMELS (US) dataset by Newman et al. (2014).</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 11.54 kiB </td>\n", | |
" <td> 11.54 kiB </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (2954,) </td>\n", | |
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" <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(2954,), meta=np.ndarray></div><input id='attrs-1adf7fd1-18fb-409c-9203-ad1210a47c31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1adf7fd1-18fb-409c-9203-ad1210a47c31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d4875f5-0ca6-4ae2-b3a2-f1bdd56b64b4' class='xr-var-data-in' type='checkbox'><label for='data-8d4875f5-0ca6-4ae2-b3a2-f1bdd56b64b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>unit :</span></dt><dd>°C</dd><dt><span>long_name :</span></dt><dd>2m air temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[ 241 7305]</dd><dt><span>height :</span></dt><dd>2m</dd><dt><span>history :</span></dt><dd>Wed Mar 27 16:11:00 2024: /usr/bin/ncap2 -s time=double(time) -O Caravan/camels.nc Caravan/camels.nc\n", | |
"Merged together from separate files; All forcing and state variables are derived from ERA5-Land hourly by ECMWF. Streamflow data was taken from the CAMELS (US) dataset by Newman et al. (2014).</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 11.54 kiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(2954,), meta=np.ndarray></div><input id='attrs-a7c99f2d-0419-44de-a69f-8b5784e44663' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7c99f2d-0419-44de-a69f-8b5784e44663' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-070fd252-540b-4e3a-a325-4dc570e3484e' class='xr-var-data-in' type='checkbox'><label for='data-070fd252-540b-4e3a-a325-4dc570e3484e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>unit :</span></dt><dd>°C</dd><dt><span>long_name :</span></dt><dd>2m air temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[ 241 7305]</dd><dt><span>height :</span></dt><dd>2m</dd><dt><span>history :</span></dt><dd>Wed Mar 27 16:11:00 2024: /usr/bin/ncap2 -s time=double(time) -O Caravan/camels.nc Caravan/camels.nc\n", | |
"Merged together from separate files; All forcing and state variables are derived from ERA5-Land hourly by ECMWF. Streamflow data was taken from the CAMELS (US) dataset by Newman et al. (2014).</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 11.54 kiB </td>\n", | |
" <td> 11.54 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (2954,) </td>\n", | |
" <td> (2954,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
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"\n", | |
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"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f6d43ee3-e5e5-4351-85a7-17407aaa91d5' class='xr-section-summary-in' type='checkbox' ><label for='section-f6d43ee3-e5e5-4351-85a7-17407aaa91d5' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6e05c1e2-fb47-40c4-af50-da0c11d0130f' class='xr-index-data-in' type='checkbox'/><label for='index-6e05c1e2-fb47-40c4-af50-da0c11d0130f' 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(['1997-08-01', '1997-08-02', '1997-08-03', '1997-08-04',\n", | |
" '1997-08-05', '1997-08-06', '1997-08-07', '1997-08-08',\n", | |
" '1997-08-09', '1997-08-10',\n", | |
" ...\n", | |
" '2005-08-23', '2005-08-24', '2005-08-25', '2005-08-26',\n", | |
" '2005-08-27', '2005-08-28', '2005-08-29', '2005-08-30',\n", | |
" '2005-08-31', '2005-09-01'],\n", | |
" dtype='datetime64[ns]', name='time', length=2954, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1887bac2-f9d6-4866-b067-074592e02339' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1887bac2-f9d6-4866-b067-074592e02339' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
], | |
"text/plain": [ | |
"<xarray.Dataset> Size: 95kB\n", | |
"Dimensions: (time: 2954)\n", | |
"Coordinates: (12/18)\n", | |
" * time (time) datetime64[ns] 24kB 1997-08-01 ... 2005-09-01\n", | |
" basin_id |S64 64B b'camels_03439000'\n", | |
" timezone |S64 64B b'America/New_York'\n", | |
" name |S64 64B b'FRENCH BROAD RIVER AT ROSMAN, NC'\n", | |
" country |S64 64B b'United States of America'\n", | |
" lat float64 8B 35.14\n", | |
" ... ...\n", | |
" moisture_index float64 8B -0.6997\n", | |
" seasonality float64 8B 0.2885\n", | |
" high_prec_freq float64 8B 0.04833\n", | |
" high_prec_dur float64 8B 1.155\n", | |
" low_prec_freq float64 8B 0.5741\n", | |
" low_prec_dur float64 8B 3.493\n", | |
"Data variables:\n", | |
" Q (time) float32 12kB dask.array<chunksize=(2954,), meta=np.ndarray>\n", | |
" evspsblpot (time) float32 12kB dask.array<chunksize=(2954,), meta=np.ndarray>\n", | |
" pr (time) float32 12kB dask.array<chunksize=(2954,), meta=np.ndarray>\n", | |
" tas (time) float32 12kB dask.array<chunksize=(2954,), meta=np.ndarray>\n", | |
" tasmax (time) float32 12kB dask.array<chunksize=(2954,), meta=np.ndarray>\n", | |
" tasmin (time) float32 12kB dask.array<chunksize=(2954,), meta=np.ndarray>" | |
] | |
}, | |
"execution_count": 11, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"forcing.to_xarray()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3 (ipykernel)", | |
"language": "python", | |
"name": "python3" | |
}, | |
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"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
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"name": "python", | |
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} |
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