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"source": [
"## Demo notebook for accessing NSRDB data on Azure\n",
"\n",
"This notebook provides an example of accessing National Solar Radiation Database (NSRDB) data from blob storage on Azure. The data is stored in one HDF file per year.\n",
"\n",
"NSRDB data are stored in the East US Azure region, so this notebook will run most efficiently on Azure compute located in East US. We recommend that substantial computation depending on NSRDB data also be situated in East US. You don't want to download hundreds of terabytes to your laptop! If you are using this data for environmental science applications, consider applying for an [AI for Earth grant](http://aka.ms/ai4egrants) to support your compute requirements.\n",
"\n",
"This notebook was adapted from the [NREL NSRDB/HSDS example](https://github.com/NREL/hsds-examples/blob/master/notebooks/03_NSRDB_introduction.ipynb)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Imports and constants"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr\n",
"import pandas as pd\n",
"import planetary_computer\n",
"\n",
"from adlfs import AzureBlobFileSystem\n",
"\n",
"# Year to investigate and plot\n",
"year = 2015\n",
"\n",
"# Storage resources\n",
"storage_account_name = 'nrel'\n",
"folder = f'nrel-nsrdb/v3'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### List the data files\n",
"\n",
"We can use `adlfs` to list available files (one per year):"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Found 23 annual files:\n",
"nrel-nsrdb/v3/nsrdb_1998.h5\n",
"nrel-nsrdb/v3/nsrdb_1999.h5\n",
"nrel-nsrdb/v3/nsrdb_2000.h5\n",
"nrel-nsrdb/v3/nsrdb_2001.h5\n",
"nrel-nsrdb/v3/nsrdb_2002.h5\n",
"nrel-nsrdb/v3/nsrdb_2003.h5\n",
"nrel-nsrdb/v3/nsrdb_2004.h5\n",
"nrel-nsrdb/v3/nsrdb_2005.h5\n",
"nrel-nsrdb/v3/nsrdb_2006.h5\n",
"nrel-nsrdb/v3/nsrdb_2007.h5\n",
"...\n"
]
}
],
"source": [
"fs = AzureBlobFileSystem(\n",
" account_name=storage_account_name,\n",
" credential=planetary_computer.sas.get_token(\"nrel\", \"nrel-nsrdb\").token\n",
")\n",
"annual_files = fs.glob(folder + '/*.h5')\n",
"print('Found {} annual files:'.format(len(annual_files)))\n",
"for path in annual_files[:10]:\n",
" print(path)\n",
"\n",
"print('...')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Open one data file with xarray"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
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"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
"Dimensions: (phony_dim_0: 17520, phony_dim_1: 2018392,\n",
" phony_dim_2: 2)\n",
"Dimensions without coordinates: phony_dim_0, phony_dim_1, phony_dim_2\n",
"Data variables: (12/28)\n",
" air_temperature (phony_dim_0, phony_dim_1) int8 ...\n",
" alpha (phony_dim_0, phony_dim_1) int16 ...\n",
" aod (phony_dim_0, phony_dim_1) int16 ...\n",
" asymmetry (phony_dim_0, phony_dim_1) int16 ...\n",
" cld_opd_dcomp (phony_dim_0, phony_dim_1) int16 ...\n",
" cld_reff_dcomp (phony_dim_0, phony_dim_1) int16 ...\n",
" ... ...\n",
" surface_albedo (phony_dim_0, phony_dim_1) int16 ...\n",
" surface_pressure (phony_dim_0, phony_dim_1) int16 ...\n",
" time_index (phony_dim_0) |S30 ...\n",
" total_precipitable_water (phony_dim_0, phony_dim_1) int16 ...\n",
" wind_direction (phony_dim_0, phony_dim_1) int16 ...\n",
" wind_speed (phony_dim_0, phony_dim_1) int16 ...\n",
"Attributes:\n",
" Version: 3.0.6</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-144ab33d-fd82-4c2a-ab3d-ecfe1341cfa3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-144ab33d-fd82-4c2a-ab3d-ecfe1341cfa3' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>phony_dim_0</span>: 17520</li><li><span>phony_dim_1</span>: 2018392</li><li><span>phony_dim_2</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d00f9266-7ba7-4062-b3f8-2dc64fae7b30' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d00f9266-7ba7-4062-b3f8-2dc64fae7b30' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-cacbdbca-df85-42da-97d5-441727a2a68e' class='xr-section-summary-in' type='checkbox' ><label for='section-cacbdbca-df85-42da-97d5-441727a2a68e' class='xr-section-summary' >Data variables: <span>(28)</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>air_temperature</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25cfb946-5005-4b7a-9385-173ddba15f30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25cfb946-5005-4b7a-9385-173ddba15f30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d747ca58-6a8d-4e1f-87bc-df6a5b6df443' class='xr-var-data-in' type='checkbox'><label for='data-d747ca58-6a8d-4e1f-87bc-df6a5b6df443' 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>psm_scale_factor :</span></dt><dd>1</dd><dt><span>psm_units :</span></dt><dd>Celsius</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>alpha</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b00c217-7090-4d89-934b-6372c16b911c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b00c217-7090-4d89-934b-6372c16b911c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba319536-fa73-4b0b-aa28-027d35fa90e9' class='xr-var-data-in' type='checkbox'><label for='data-ba319536-fa73-4b0b-aa28-027d35fa90e9' 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>psm_scale_factor :</span></dt><dd>1000.0</dd><dt><span>psm_units :</span></dt><dd>unitless</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-84c6306e-cae3-46a3-8495-87c757fdee1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84c6306e-cae3-46a3-8495-87c757fdee1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8234f3e1-f820-4dfe-8761-37f428ab2af4' class='xr-var-data-in' type='checkbox'><label for='data-8234f3e1-f820-4dfe-8761-37f428ab2af4' 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>psm_scale_factor :</span></dt><dd>10000.0</dd><dt><span>psm_units :</span></dt><dd>unitless</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>asymmetry</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30f611c9-8364-4f9b-9a4c-d0349cec9898' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30f611c9-8364-4f9b-9a4c-d0349cec9898' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96fdc1a5-cfcf-4134-adfe-98034283c782' class='xr-var-data-in' type='checkbox'><label for='data-96fdc1a5-cfcf-4134-adfe-98034283c782' 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>psm_scale_factor :</span></dt><dd>1000</dd><dt><span>psm_units :</span></dt><dd>unitless</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cld_opd_dcomp</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef7ff496-ef1f-4222-b701-8c171241c368' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef7ff496-ef1f-4222-b701-8c171241c368' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1a2b14f-0e6c-4ade-9e21-d5715cfe0bb1' class='xr-var-data-in' type='checkbox'><label for='data-a1a2b14f-0e6c-4ade-9e21-d5715cfe0bb1' 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>fill_value :</span></dt><dd>-0.20243835</dd><dt><span>psm_add_offset :</span></dt><dd>79.9</dd><dt><span>psm_scale_factor :</span></dt><dd>0.0024445325</dd><dt><span>psm_units :</span></dt><dd>unitless</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cld_reff_dcomp</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca6b1181-4bc9-4675-84dd-8481dd76e6f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca6b1181-4bc9-4675-84dd-8481dd76e6f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe50a7ad-1ef8-44b2-a456-d862bd2013ad' class='xr-var-data-in' type='checkbox'><label for='data-fe50a7ad-1ef8-44b2-a456-d862bd2013ad' 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>fill_value :</span></dt><dd>-0.0024414062</dd><dt><span>psm_add_offset :</span></dt><dd>80.0</dd><dt><span>psm_scale_factor :</span></dt><dd>0.0024414808</dd><dt><span>psm_units :</span></dt><dd>micron</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>clearsky_dhi</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-588f48cf-54b2-49d9-83b4-fd67393e4138' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-588f48cf-54b2-49d9-83b4-fd67393e4138' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b44d60b-f2ac-4837-9a59-3c42f2b1ed81' class='xr-var-data-in' type='checkbox'><label for='data-0b44d60b-f2ac-4837-9a59-3c42f2b1ed81' 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>psm_scale_factor :</span></dt><dd>1</dd><dt><span>psm_units :</span></dt><dd>W/m2</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>clearsky_dni</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-270e690f-bdf5-4a5e-b511-4ee54d1f7398' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-270e690f-bdf5-4a5e-b511-4ee54d1f7398' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-becd3ed0-65e8-4c93-83dc-a712b996b634' class='xr-var-data-in' type='checkbox'><label for='data-becd3ed0-65e8-4c93-83dc-a712b996b634' 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>psm_scale_factor :</span></dt><dd>1</dd><dt><span>psm_units :</span></dt><dd>W/m2</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>clearsky_ghi</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-65027470-c441-4491-92bf-b682984b4653' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65027470-c441-4491-92bf-b682984b4653' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44abfb5d-daa4-44a0-ac33-b48a132ae951' class='xr-var-data-in' type='checkbox'><label for='data-44abfb5d-daa4-44a0-ac33-b48a132ae951' 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>psm_scale_factor :</span></dt><dd>1</dd><dt><span>psm_units :</span></dt><dd>W/m2</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud_press_acha</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e96436a2-1f91-418d-9bd8-506a06dde624' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e96436a2-1f91-418d-9bd8-506a06dde624' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20e02be8-3cdd-440b-82ed-6888772b9809' class='xr-var-data-in' type='checkbox'><label for='data-20e02be8-3cdd-440b-82ed-6888772b9809' 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>fill_value :</span></dt><dd>-4.3306885</dd><dt><span>psm_add_offset :</span></dt><dd>550.0</dd><dt><span>psm_scale_factor :</span></dt><dd>4.3307085</dd><dt><span>psm_units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud_type</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-44ad37f5-6e93-429b-93f8-c8725ecb3a1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44ad37f5-6e93-429b-93f8-c8725ecb3a1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a2ac3f7-5ba8-47f9-b399-ef22913b1f46' class='xr-var-data-in' type='checkbox'><label for='data-6a2ac3f7-5ba8-47f9-b399-ef22913b1f46' 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>fill_value :</span></dt><dd>-15</dd><dt><span>psm_scale_factor :</span></dt><dd>1</dd><dt><span>psm_units :</span></dt><dd>'N/A': -15, 'Clear': 0, 'Probably Clear': 1, 'Fog': 2, 'Water': 3, 'Super-Cooled Water': 4, 'Mixed': 5, 'Opaque Ice': 6, 'Cirrus': 7, 'Overlapping': 8, 'Overshooting': 9, 'Unknown': 10, 'Dust': 11, 'Smoke': 12</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>coordinates</span></div><div class='xr-var-dims'>(phony_dim_1, phony_dim_2)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1dae1605-b8b6-41d5-9382-fe5bcb04c11c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dae1605-b8b6-41d5-9382-fe5bcb04c11c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bd241f7-1d78-4f9b-95b5-870753b095a0' class='xr-var-data-in' type='checkbox'><label for='data-3bd241f7-1d78-4f9b-95b5-870753b095a0' 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>description :</span></dt><dd>(latitude, longitude)</dd></dl></div><div class='xr-var-data'><pre>[4036784 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dew_point</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bba29ce5-95b2-4bf9-aa99-1098a4aab39c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bba29ce5-95b2-4bf9-aa99-1098a4aab39c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b33edb7-2a12-4c5f-8a4d-317e4a495d9f' class='xr-var-data-in' type='checkbox'><label for='data-6b33edb7-2a12-4c5f-8a4d-317e4a495d9f' 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>psm_scale_factor :</span></dt><dd>1</dd><dt><span>psm_units :</span></dt><dd>Celsius</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dhi</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ed91ff70-932d-40de-a52c-ed4bc07bc84b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed91ff70-932d-40de-a52c-ed4bc07bc84b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e64822d-309d-421a-b2da-1c30378c0a34' class='xr-var-data-in' type='checkbox'><label for='data-8e64822d-309d-421a-b2da-1c30378c0a34' 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>psm_scale_factor :</span></dt><dd>1</dd><dt><span>psm_units :</span></dt><dd>W/m2</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dni</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e16552c-559a-42dd-b1d5-885bbe44a229' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e16552c-559a-42dd-b1d5-885bbe44a229' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed8bb9a6-37fa-4846-9dc7-ea2a8048a06c' class='xr-var-data-in' type='checkbox'><label for='data-ed8bb9a6-37fa-4846-9dc7-ea2a8048a06c' 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>psm_scale_factor :</span></dt><dd>1</dd><dt><span>psm_units :</span></dt><dd>W/m2</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fill_flag</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f562bec-4a6f-47d4-aa57-842a50e0e8e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f562bec-4a6f-47d4-aa57-842a50e0e8e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1405cdbf-ee14-4381-8b02-820b9eae74b3' class='xr-var-data-in' type='checkbox'><label for='data-1405cdbf-ee14-4381-8b02-820b9eae74b3' 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>psm_units :</span></dt><dd>'N/A': 0, 'Missing Image': 1, 'Low Irradiance': 2, 'Exceeds Clearsky': 3, 'Missing Cloud Properties': 4, 'Rayleigh Violation': 5</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ghi</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b8620ce2-0662-472e-b977-097adb045895' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8620ce2-0662-472e-b977-097adb045895' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edc0ca38-7447-443f-bc3c-896a85bb4c68' class='xr-var-data-in' type='checkbox'><label for='data-edc0ca38-7447-443f-bc3c-896a85bb4c68' 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>psm_scale_factor :</span></dt><dd>1</dd><dt><span>psm_units :</span></dt><dd>W/m2</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>meta</span></div><div class='xr-var-dims'>(phony_dim_1)</div><div class='xr-var-dtype'>[('latitude', '<f4'), ('longitude', '<f4'), ('elevation', '<f4'), ('timezone', '<i2'), ('country', 'S30'), ('state', 'S30'), ('county', 'S30'), ('urban', 'S30'), ('population', '<i4'), ('landcover', '<i2')]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf7d625a-2dc9-4216-8e98-ce10f95fe079' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf7d625a-2dc9-4216-8e98-ce10f95fe079' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd33aee1-09a6-41a7-9d5a-f3cfcb717a67' class='xr-var-data-in' type='checkbox'><label for='data-bd33aee1-09a6-41a7-9d5a-f3cfcb717a67' 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>country_fill_value :</span></dt><dd>None</dd><dt><span>county_fill_value :</span></dt><dd>None</dd><dt><span>elevation_units :</span></dt><dd>meters</dd><dt><span>landcover_fill_value :</span></dt><dd>-9999</dd><dt><span>landcover_types :</span></dt><dd>11: Post-flooding or irrigated croplands (or aquatic),14: Rainfed croplands / 20: Mosaic cropland (50-70%) / vegetation (grassland/shrubland/forest) (20-50%),20: Mosaic cropland (50-70%) / vegetation (grassland/shrubland/forest) (20-50%),30: Mosaic vegetation (grassland/shrubland/forest) (50-70%) / cropland (20-50%),40: Closed to open (>15%) broadleaved evergreen or semi-deciduous forest (>5m),50: Closed (>40%) broadleaved deciduous forest (>5m),60: Open (15-40%) broadleaved deciduous forest/woodland (>5m),70: Closed (>40%) needleleaved evergreen forest (>5m),90: Open (15-40%) needleleaved deciduous or evergreen forest (>5m),100: Closed to open (>15%) mixed broadleaved and needleleaved forest (>5m),110: Mosaic forest or shrubland (50-70%) / grassland (20-50%),120: Mosaic grassland (50-70%) / forest or shrubland (20-50%),130: Closed to open (>15%) (broadleaved or needleleaved / evergreen or deciduous) shrubland (<5m),140: Closed to open (>15%) herbaceous vegetation (grassland / savannas or lichens/mosses),150: Sparse (<15%) vegetation,160: Closed to open (>15%) broadleaved forest regularly flooded (semi-permanently or temporarily) - Fresh or brackish water,170: Closed (>40%) broadleaved forest or shrubland permanently flooded - Saline or brackish water,180: Closed to open (>15%) grassland or woody vegetation on regularly flooded or waterlogged soil - Fresh / brackish or saline water,190: Artificial surfaces and associated areas (Urban areas >50%),200: Bare areas,210: Water bodies,220: Permanent snow and ice,230: No data (burnt areas / clouds /…)</dd><dt><span>lat_units :</span></dt><dd>decimal degrees</dd><dt><span>lng_units :</span></dt><dd>decimal degrees</dd><dt><span>population_fill_value :</span></dt><dd>-9999</dd><dt><span>state_fill_value :</span></dt><dd>None</dd><dt><span>timezone_fill_value :</span></dt><dd>-9999</dd><dt><span>timezone_units :</span></dt><dd>UTC Offset</dd><dt><span>urban_fill_value :</span></dt><dd>None</dd></dl></div><div class='xr-var-data'><pre>[2018392 values with dtype=[('latitude', '<f4'), ('longitude', '<f4'), ('elevation', '<f4'), ('timezone', '<i2'), ('country', 'S30'), ('state', 'S30'), ('county', 'S30'), ('urban', 'S30'), ('population', '<i4'), ('landcover', '<i2')]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ozone</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-80c7d066-23a3-4cf5-a8f8-e8a7e4332d9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80c7d066-23a3-4cf5-a8f8-e8a7e4332d9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f27cac8-f01e-43c0-ba96-f25881af4ece' class='xr-var-data-in' type='checkbox'><label for='data-5f27cac8-f01e-43c0-ba96-f25881af4ece' 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>psm_scale_factor :</span></dt><dd>1000.0</dd><dt><span>psm_units :</span></dt><dd>atm-cm</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>relative_humidity</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-941bd0c4-8764-4126-8134-7ec310452e85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-941bd0c4-8764-4126-8134-7ec310452e85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c8d7bfc-3d83-4064-817e-719993a4e4dc' class='xr-var-data-in' type='checkbox'><label for='data-9c8d7bfc-3d83-4064-817e-719993a4e4dc' 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>psm_scale_factor :</span></dt><dd>100.0</dd><dt><span>psm_units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solar_zenith_angle</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ca2ba3b-46b6-483e-9c96-6ede8d3f05e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ca2ba3b-46b6-483e-9c96-6ede8d3f05e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29e431a1-e4bf-4247-9169-7060bdd68fb7' class='xr-var-data-in' type='checkbox'><label for='data-29e431a1-e4bf-4247-9169-7060bdd68fb7' 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>psm_scale_factor :</span></dt><dd>100.0</dd><dt><span>psm_units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssa</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3859205-10bb-4974-b709-0e5326fee53e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3859205-10bb-4974-b709-0e5326fee53e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d63a7ed-78eb-4d45-b2aa-c14f6a11920d' class='xr-var-data-in' type='checkbox'><label for='data-0d63a7ed-78eb-4d45-b2aa-c14f6a11920d' 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>psm_scale_factor :</span></dt><dd>10000.0</dd><dt><span>psm_units :</span></dt><dd>unitless</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_albedo</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f33a8a7a-bab1-44d7-9802-21b4161544cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f33a8a7a-bab1-44d7-9802-21b4161544cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c045cd2-b126-4b2a-a232-da0c1738660e' class='xr-var-data-in' type='checkbox'><label for='data-1c045cd2-b126-4b2a-a232-da0c1738660e' 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>psm_scale_factor :</span></dt><dd>1000</dd><dt><span>psm_units :</span></dt><dd>unitless</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_pressure</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2bf1ad49-4944-4db0-ab7e-222be608ee69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bf1ad49-4944-4db0-ab7e-222be608ee69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d873e43-210f-4bdb-950a-c3aa087c6060' class='xr-var-data-in' type='checkbox'><label for='data-9d873e43-210f-4bdb-950a-c3aa087c6060' 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>psm_scale_factor :</span></dt><dd>0.1</dd><dt><span>psm_units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_index</span></div><div class='xr-var-dims'>(phony_dim_0)</div><div class='xr-var-dtype'>|S30</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e817b6ae-d00d-403a-ac5a-212ec3245dea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e817b6ae-d00d-403a-ac5a-212ec3245dea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7b1e9d1-e205-4a17-9061-b7f4ded35134' class='xr-var-data-in' type='checkbox'><label for='data-d7b1e9d1-e205-4a17-9061-b7f4ded35134' 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>time_zone :</span></dt><dd>UTC</dd></dl></div><div class='xr-var-data'><pre>[17520 values with dtype=|S30]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_precipitable_water</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc2fb092-f4ed-4357-881a-55ba9fa2459f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc2fb092-f4ed-4357-881a-55ba9fa2459f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1faeea95-5a2c-480b-8b1f-3266e81e1d1f' class='xr-var-data-in' type='checkbox'><label for='data-1faeea95-5a2c-480b-8b1f-3266e81e1d1f' 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>psm_scale_factor :</span></dt><dd>1000.0</dd><dt><span>psm_units :</span></dt><dd>cm</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_direction</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8e50102e-2e36-4b13-9069-c36b783bc6ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e50102e-2e36-4b13-9069-c36b783bc6ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-483cae03-3a25-47a4-ab05-3c31371f5c9a' class='xr-var-data-in' type='checkbox'><label for='data-483cae03-3a25-47a4-ab05-3c31371f5c9a' 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>psm_scale_factor :</span></dt><dd>10.0</dd><dt><span>psm_units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed</span></div><div class='xr-var-dims'>(phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2468a66f-913b-46dc-9065-4257d587aa70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2468a66f-913b-46dc-9065-4257d587aa70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-229d0521-f963-4ade-b71d-23587d5d675b' class='xr-var-data-in' type='checkbox'><label for='data-229d0521-f963-4ade-b71d-23587d5d675b' 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>psm_scale_factor :</span></dt><dd>10.0</dd><dt><span>psm_units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>[35362227840 values with dtype=int16]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af3c3f52-dcad-40d4-9d8c-7c1c6e46c6d5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-af3c3f52-dcad-40d4-9d8c-7c1c6e46c6d5' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e507f1b7-c805-43fa-abfd-97126ba7b58d' class='xr-section-summary-in' type='checkbox' checked><label for='section-e507f1b7-c805-43fa-abfd-97126ba7b58d' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Version :</span></dt><dd>3.0.6</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (phony_dim_0: 17520, phony_dim_1: 2018392,\n",
" phony_dim_2: 2)\n",
"Dimensions without coordinates: phony_dim_0, phony_dim_1, phony_dim_2\n",
"Data variables: (12/28)\n",
" air_temperature (phony_dim_0, phony_dim_1) int8 ...\n",
" alpha (phony_dim_0, phony_dim_1) int16 ...\n",
" aod (phony_dim_0, phony_dim_1) int16 ...\n",
" asymmetry (phony_dim_0, phony_dim_1) int16 ...\n",
" cld_opd_dcomp (phony_dim_0, phony_dim_1) int16 ...\n",
" cld_reff_dcomp (phony_dim_0, phony_dim_1) int16 ...\n",
" ... ...\n",
" surface_albedo (phony_dim_0, phony_dim_1) int16 ...\n",
" surface_pressure (phony_dim_0, phony_dim_1) int16 ...\n",
" time_index (phony_dim_0) |S30 ...\n",
" total_precipitable_water (phony_dim_0, phony_dim_1) int16 ...\n",
" wind_direction (phony_dim_0, phony_dim_1) int16 ...\n",
" wind_speed (phony_dim_0, phony_dim_1) int16 ...\n",
"Attributes:\n",
" Version: 3.0.6"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"file = fs.open(f\"nrel-nsrdb/v3/nsrdb_{year}.h5\")\n",
"ds = xr.open_dataset(file, backend_kwargs={\"phony_dims\": \"sort\"}, engine=\"h5netcdf\")\n",
"ds"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Explore metadata"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(17520, 2018392)"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Datasets are stored in 2D grids of size [time x location]\n",
"dset = ds['ghi']\n",
"dset.shape"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:30:00',\n",
" '2015-01-01 01:00:00', '2015-01-01 01:30:00',\n",
" '2015-01-01 02:00:00', '2015-01-01 02:30:00',\n",
" '2015-01-01 03:00:00', '2015-01-01 03:30:00',\n",
" '2015-01-01 04:00:00', '2015-01-01 04:30:00',\n",
" ...\n",
" '2015-12-31 19:00:00', '2015-12-31 19:30:00',\n",
" '2015-12-31 20:00:00', '2015-12-31 20:30:00',\n",
" '2015-12-31 21:00:00', '2015-12-31 21:30:00',\n",
" '2015-12-31 22:00:00', '2015-12-31 22:30:00',\n",
" '2015-12-31 23:00:00', '2015-12-31 23:30:00'],\n",
" dtype='datetime64[ns]', length=17520, freq=None)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Extract datetime index for datasets\n",
"time_index = pd.to_datetime(ds['time_index'][...].astype(str))\n",
"time_index # temporal resolution is 30min"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<xarray.DataArray 'meta' (phony_dim_1: 2018392)>\n",
"[2018392 values with dtype=[('latitude', '<f4'), ('longitude', '<f4'), ('elevation', '<f4'), ('timezone', '<i2'), ('country', 'S30'), ('state', 'S30'), ('county', 'S30'), ('urban', 'S30'), ('population', '<i4'), ('landcover', '<i2')]]\n",
"Dimensions without coordinates: phony_dim_1\n",
"Attributes:\n",
" country_fill_value: None\n",
" county_fill_value: None\n",
" elevation_units: meters\n",
" landcover_fill_value: -9999\n",
" landcover_types: 11: Post-flooding or irrigated croplands (or aqua...\n",
" lat_units: decimal degrees\n",
" lng_units: decimal degrees\n",
" population_fill_value: -9999\n",
" state_fill_value: None\n",
" timezone_fill_value: -9999\n",
" timezone_units: UTC Offset\n",
" urban_fill_value: None\n"
]
}
],
"source": [
"# Location information is stored in either 'meta' or 'coordinates'\n",
"meta = ds['meta']\n",
"\n",
"# Each element contains values for, e.g., latitude, longitude, elevation, and land cover type\n",
"print(meta)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Extract a subset of the data"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# find the position where time_index is this value\n",
"timestep = time_index.get_loc(pd.Timestamp(str(year) + \"-12-31 19:00:00\"))\n",
"\n",
"# capture metadata in a pandas dataframe\n",
"meta = ds[\"meta\"].data\n",
"df = pd.DataFrame(meta) \n",
"\n",
"# find the positions where df['state'] is California\n",
"CA = df[df[\"state\"] == b\"California\"]\n",
"\n",
"# load a subset of that data\n",
"subset = ds[\"ghi\"][timestep, CA.index].load()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plot that subset"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"p = pd.DataFrame({\"ghi\": subset, \"lat\": CA.latitude, \"lon\": CA.longitude}).plot.scatter(x=\"lon\", y=\"lat\", c=\"ghi\", cmap=\"viridis\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.8"
}
},
"nbformat": 4,
"nbformat_minor": 4
}