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January 15, 2026 16:42
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noaa-hrrr-forecast-48-hour-icechunk.ipynb
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Quickstart: NOAA HRRR forecast 48 hour - dynamical.org Icechunk Zarr\n", | |
| "A brief introduction to the NOAA HRRR forecast 48 hour dataset transformed into an analysis-ready, cloud-optimized format by dynamical.org.\n", | |
| "\n", | |
| "Dataset documentation: https://dynamical.org/catalog/noaa-hrrr-forecast-48-hour/" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# If running locally, follow README.md for simple dependency installation.\n", | |
| "# If using Google Colab, run this cell and then restart the notebook.\n", | |
| "# %pip install \"xarray[complete]>=2025.1.2\" \"zarr>=3.0.8\" icechunk rioxarray pyproj\n", | |
| "# rioxarray and pyproj are used here for working with map projections" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Icechunk version = 1.1.15\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "import icechunk\n", | |
| "import xarray as xr\n", | |
| "print(f'Icechunk version = {icechunk.__version__}')\n", | |
| "\n", | |
| "storage = icechunk.s3_storage(bucket=\"dynamical-noaa-hrrr\", \n", | |
| " prefix=\"noaa-hrrr-forecast-48-hour/v0.1.0.icechunk/\", \n", | |
| " anonymous=True,\n", | |
| " region='us-west-2') # <== I needed to add the region\n", | |
| "repo = icechunk.Repository.open(storage)\n", | |
| "session = repo.readonly_session(\"main\")\n", | |
| "ds = xr.open_zarr(session.store, chunks={}) # <== I changed this from `chunks=None`\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Use Rolodex & Holoviz to explore data" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "#### Use Rolodex to obtain a BestEstimate time series" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import rolodex.forecast\n", | |
| "from rolodex.forecast import (\n", | |
| " BestEstimate,\n", | |
| " ConstantForecast,\n", | |
| " ConstantOffset,\n", | |
| " ForecastIndex,\n", | |
| " Model,\n", | |
| " ModelRun,\n", | |
| ")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Fix time indices to work with Rolodex" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "ds['init_time'].attrs['standard_name'] = 'forecast_reference_time'\n", | |
| "ds['lead_time'].attrs['standard_name'] = 'forecast_period'\n", | |
| "\n", | |
| "ds.coords[\"valid_time\"] = rolodex.forecast.create_lazy_valid_time_variable(\n", | |
| " reference_time=ds.init_time, period=ds.lead_time)\n", | |
| "\n", | |
| "ds = ds.drop_indexes([\"init_time\", \"lead_time\"]).set_xindex(\n", | |
| " [\"init_time\", \"lead_time\", \"valid_time\"], ForecastIndex)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
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| " --jp-content-font-color2,\n", | |
| " var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n", | |
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| " --jp-content-font-color3,\n", | |
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| " --jp-layout-color0,\n", | |
| " var(--pst-color-on-background, white)\n", | |
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| " --xr-background-color-row-even: var(\n", | |
| " --jp-layout-color1,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n", | |
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| "html[theme=\"dark\"],\n", | |
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| ".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-data > pre,\n", | |
| ".xr-index-data > pre,\n", | |
| ".xr-var-data > table > tbody > tr {\n", | |
| " background-color: transparent !important;\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", | |
| "\n", | |
| ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n", | |
| ".xr-var-data-in:checked + label > .xr-icon-database,\n", | |
| ".xr-index-data-in:checked + label > .xr-icon-database {\n", | |
| " color: var(--xr-font-color0);\n", | |
| " filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n", | |
| " stroke-width: 0.8px;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset> Size: 82TB\n", | |
| "Dimensions: (init_time: 10973,\n", | |
| " lead_time: 49, y: 1059, x: 1799)\n", | |
| "Coordinates:\n", | |
| " * init_time (init_time) datetime64[ns] 88kB ...\n", | |
| " * lead_time (lead_time) timedelta64[ns] 392B ...\n", | |
| " * y (y) float64 8kB 1.587e+06 ......\n", | |
| " * x (x) float64 14kB -2.698e+06 ....\n", | |
| " longitude (y, x) float32 8MB dask.array<chunksize=(1059, 1799), meta=np.ndarray>\n", | |
| " expected_forecast_length (init_time) timedelta64[ns] 88kB dask.array<chunksize=(10973,), meta=np.ndarray>\n", | |
| " ingested_forecast_length (init_time) timedelta64[ns] 88kB dask.array<chunksize=(10973,), meta=np.ndarray>\n", | |
| " latitude (y, x) float32 8MB dask.array<chunksize=(1059, 1799), meta=np.ndarray>\n", | |
| " spatial_ref int64 8B ...\n", | |
| " * valid_time (init_time, lead_time) datetime64[ns] 4MB ...\n", | |
| "Data variables: (12/20)\n", | |
| " categorical_freezing_rain_surface (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " categorical_ice_pellets_surface (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " categorical_rain_surface (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " downward_long_wave_radiation_flux_surface (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " composite_reflectivity (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " geopotential_height_cloud_ceiling (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " ... ...\n", | |
| " wind_u_80m (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " precipitation_surface (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " pressure_reduced_to_mean_sea_level (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " relative_humidity_2m (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " wind_v_80m (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " wind_v_10m (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| "Indexes:\n", | |
| " ┌ init_time ForecastIndex\n", | |
| " │ lead_time\n", | |
| " └ valid_time\n", | |
| "Attributes:\n", | |
| " dataset_id: noaa-hrrr-forecast-48-hour\n", | |
| " dataset_version: 0.1.0\n", | |
| " name: NOAA HRRR forecast, 48 hour\n", | |
| " description: Weather forecasts from the High-Resolution Rapid Re...\n", | |
| " attribution: NOAA NWS NCEP HRRR data processed by dynamical.org ...\n", | |
| " spatial_domain: Continental United States\n", | |
| " spatial_resolution: 3 km\n", | |
| " time_domain: Forecasts initialized 2018-07-13 12:00:00 UTC to Pr...\n", | |
| " time_resolution: Forecasts initialized every 6 hours\n", | |
| " forecast_domain: Forecast lead time 0-48 hours ahead\n", | |
| " forecast_resolution: Hourly</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-aaef25bf-30a4-47e1-881e-785132692d9b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aaef25bf-30a4-47e1-881e-785132692d9b' 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'>init_time</span>: 10973</li><li><span class='xr-has-index'>lead_time</span>: 49</li><li><span class='xr-has-index'>y</span>: 1059</li><li><span class='xr-has-index'>x</span>: 1799</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1e9ff385-b10c-4b80-a77c-bd747d55b1d9' class='xr-section-summary-in' type='checkbox' checked><label for='section-1e9ff385-b10c-4b80-a77c-bd747d55b1d9' class='xr-section-summary' >Coordinates: <span>(10)</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'>init_time</span></div><div class='xr-var-dims'>(init_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2018-07-13T12:00:00 ... 2026-01-...</div><input id='attrs-8b663e03-bfd0-4e13-8a90-687c62da6ed5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b663e03-bfd0-4e13-8a90-687c62da6ed5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-456cc2cc-5d54-471c-862b-016a32194b99' class='xr-var-data-in' type='checkbox'><label for='data-456cc2cc-5d54-471c-862b-016a32194b99' 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>statistics_approximate :</span></dt><dd>{'min': '2018-07-13T12:00:00', 'max': 'Present'}</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(['2018-07-13T12:00:00.000000000', '2018-07-13T18:00:00.000000000',\n", | |
| " '2018-07-14T00:00:00.000000000', ..., '2026-01-15T00:00:00.000000000',\n", | |
| " '2026-01-15T06:00:00.000000000', '2026-01-15T12:00:00.000000000'],\n", | |
| " shape=(10973,), dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lead_time</span></div><div class='xr-var-dims'>(lead_time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00 ... 2 days 00:00:00</div><input id='attrs-457b778f-8fe0-4569-abf3-d6d479df493a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-457b778f-8fe0-4569-abf3-d6d479df493a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc55959b-7e19-48d8-a8cd-a2048d65152e' class='xr-var-data-in' type='checkbox'><label for='data-cc55959b-7e19-48d8-a8cd-a2048d65152e' 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>statistics_approximate :</span></dt><dd>{'min': '0 days 00:00:00', 'max': '2 days 00:00:00'}</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 3600000000000, 7200000000000, 10800000000000,\n", | |
| " 14400000000000, 18000000000000, 21600000000000, 25200000000000,\n", | |
| " 28800000000000, 32400000000000, 36000000000000, 39600000000000,\n", | |
| " 43200000000000, 46800000000000, 50400000000000, 54000000000000,\n", | |
| " 57600000000000, 61200000000000, 64800000000000, 68400000000000,\n", | |
| " 72000000000000, 75600000000000, 79200000000000, 82800000000000,\n", | |
| " 86400000000000, 90000000000000, 93600000000000, 97200000000000,\n", | |
| " 100800000000000, 104400000000000, 108000000000000, 111600000000000,\n", | |
| " 115200000000000, 118800000000000, 122400000000000, 126000000000000,\n", | |
| " 129600000000000, 133200000000000, 136800000000000, 140400000000000,\n", | |
| " 144000000000000, 147600000000000, 151200000000000, 154800000000000,\n", | |
| " 158400000000000, 162000000000000, 165600000000000, 169200000000000,\n", | |
| " 172800000000000], dtype='timedelta64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.587e+06 1.584e+06 ... -1.587e+06</div><input id='attrs-8f1f7beb-38b7-484b-804d-5758b31f2ca0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f1f7beb-38b7-484b-804d-5758b31f2ca0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21cf7379-ddd2-4394-9ce3-0d2cf24cee75' class='xr-var-data-in' type='checkbox'><label for='data-21cf7379-ddd2-4394-9ce3-0d2cf24cee75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': -1600000.0, 'max': 1600000.0}</dd></dl></div><div class='xr-var-data'><pre>array([ 1586693.847443, 1583693.847443, 1580693.847443, ..., -1581306.152557,\n", | |
| " -1584306.152557, -1587306.152557], shape=(1059,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.698e+06 -2.695e+06 ... 2.696e+06</div><input id='attrs-d3477c56-fdcd-4cbe-8efe-a82a91a00313' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3477c56-fdcd-4cbe-8efe-a82a91a00313' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8f5157a-be4b-4437-aec2-ec03135e8dc5' class='xr-var-data-in' type='checkbox'><label for='data-f8f5157a-be4b-4437-aec2-ec03135e8dc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': -2700000.0, 'max': 2700000.0}</dd></dl></div><div class='xr-var-data'><pre>array([-2697520.142522, -2694520.142522, -2691520.142522, ..., 2690479.857478,\n", | |
| " 2693479.857478, 2696479.857478], shape=(1799,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1059, 1799), meta=np.ndarray></div><input id='attrs-1e68f28b-149b-4ccc-8e19-4f139b289258' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e68f28b-149b-4ccc-8e19-4f139b289258' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38c8bcf2-c295-4ae9-92a3-72ae632fe2b8' class='xr-var-data-in' type='checkbox'><label for='data-38c8bcf2-c295-4ae9-92a3-72ae632fe2b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': -134.09548, 'max': -60.917192}</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> 7.27 MiB </td>\n", | |
| " <td> 7.27 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (1059, 1799) </td>\n", | |
| " <td> (1059, 1799) </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", | |
| " <svg width=\"170\" height=\"120\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"70\" x2=\"120\" y2=\"70\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"70\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"70\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,70.63924402445804 0.0,70.63924402445804\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.0\" y=\"90.63924402445804\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1799</text>\n", | |
| " <text x=\"140.0\" y=\"35.31962201222902\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.0,35.31962201222902)\">1059</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>expected_forecast_length</span></div><div class='xr-var-dims'>(init_time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(10973,), meta=np.ndarray></div><input id='attrs-3389fbe7-1af1-4d22-8ab8-f6ad70e8f5bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3389fbe7-1af1-4d22-8ab8-f6ad70e8f5bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28f388b4-6667-47b5-9964-8fec7123f27e' class='xr-var-data-in' type='checkbox'><label for='data-28f388b4-6667-47b5-9964-8fec7123f27e' 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>statistics_approximate :</span></dt><dd>{'min': '0 days 00:00:00', 'max': '2 days 00:00:00'}</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> 85.73 kiB </td>\n", | |
| " <td> 85.73 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973,) </td>\n", | |
| " <td> (10973,) </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\"> timedelta64[ns] numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.0\" y=\"45.41261651458248\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10973</text>\n", | |
| " <text x=\"140.0\" y=\"12.706308257291242\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.0,12.706308257291242)\">1</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ingested_forecast_length</span></div><div class='xr-var-dims'>(init_time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(10973,), meta=np.ndarray></div><input id='attrs-d12e3b97-273b-4505-9341-4afcf592842b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d12e3b97-273b-4505-9341-4afcf592842b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3268555d-9a05-4bfa-a00d-ac325006d4cd' class='xr-var-data-in' type='checkbox'><label for='data-3268555d-9a05-4bfa-a00d-ac325006d4cd' 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>statistics_approximate :</span></dt><dd>{'min': '0 days 00:00:00', 'max': '2 days 00:00:00'}</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> 85.73 kiB </td>\n", | |
| " <td> 85.73 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973,) </td>\n", | |
| " <td> (10973,) </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\"> timedelta64[ns] numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.0\" y=\"45.41261651458248\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10973</text>\n", | |
| " <text x=\"140.0\" y=\"12.706308257291242\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.0,12.706308257291242)\">1</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1059, 1799), meta=np.ndarray></div><input id='attrs-efdf93fe-9ff9-45ea-b370-5cc965e6cc78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efdf93fe-9ff9-45ea-b370-5cc965e6cc78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56efbc35-72ca-4614-8161-63e42f8afa19' class='xr-var-data-in' type='checkbox'><label for='data-56efbc35-72ca-4614-8161-63e42f8afa19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': 21.138123, 'max': 52.615653}</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> 7.27 MiB </td>\n", | |
| " <td> 7.27 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (1059, 1799) </td>\n", | |
| " <td> (1059, 1799) </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", | |
| " <svg width=\"170\" height=\"120\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
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| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"70\" style=\"stroke-width:2\" />\n", | |
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| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,70.63924402445804 0.0,70.63924402445804\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.0\" y=\"90.63924402445804\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1799</text>\n", | |
| " <text x=\"140.0\" y=\"35.31962201222902\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.0,35.31962201222902)\">1059</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></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-b06bf523-20b5-48f7-b99d-5c1c7b9eb927' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b06bf523-20b5-48f7-b99d-5c1c7b9eb927' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cecc906-bd5f-4aa1-bd96-c393d24b91ae' class='xr-var-data-in' type='checkbox'><label for='data-9cecc906-bd5f-4aa1-bd96-c393d24b91ae' 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>crs_wkt :</span></dt><dd>PROJCS["unnamed",GEOGCS["Coordinate System imported from GRIB file",DATUM["unnamed",SPHEROID["Sphere",6371229,0]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["latitude_of_origin",38.5],PARAMETER["central_meridian",-97.5],PARAMETER["standard_parallel_1",38.5],PARAMETER["standard_parallel_2",38.5],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["Metre",1],AXIS["Easting",EAST],AXIS["Northing",NORTH]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>Sphere</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>Coordinate System imported from GRIB file</dd><dt><span>horizontal_datum_name :</span></dt><dd>unnamed</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS["unnamed",GEOGCS["Coordinate System imported from GRIB file",DATUM["unnamed",SPHEROID["Sphere",6371229,0]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["latitude_of_origin",38.5],PARAMETER["central_meridian",-97.5],PARAMETER["standard_parallel_1",38.5],PARAMETER["standard_parallel_2",38.5],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["Metre",1],AXIS["Easting",EAST],AXIS["Northing",NORTH]]</dd><dt><span>GeoTransform :</span></dt><dd>-2699020.142521929 3000.0 0.0 1588193.847443335 0.0 -3000.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-97.5</dd><dt><span>projected_crs_name :</span></dt><dd>unnamed</dd><dt><span>standard_parallel :</span></dt><dd>[38.5, 38.5]</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>valid_time</span></div><div class='xr-var-dims'>(init_time, lead_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba8365f9-ac87-4bcb-a1ed-c58defb602a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba8365f9-ac87-4bcb-a1ed-c58defb602a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c708d05-8410-42d5-be71-9cccccf81fdf' class='xr-var-data-in' type='checkbox'><label for='data-4c708d05-8410-42d5-be71-9cccccf81fdf' 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>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[537677 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3cd87e4a-e4bc-4b29-99f5-b66febdbdab6' class='xr-section-summary-in' type='checkbox' ><label for='section-3cd87e4a-e4bc-4b29-99f5-b66febdbdab6' class='xr-section-summary' >Data variables: <span>(20)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>categorical_freezing_rain_surface</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-8d98aea0-f2e7-4d4e-b21f-7ff6ed539fc9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d98aea0-f2e7-4d4e-b21f-7ff6ed539fc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16496394-23b6-4f65-98f8-825e8460a0db' class='xr-var-data-in' type='checkbox'><label for='data-16496394-23b6-4f65-98f8-825e8460a0db' 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>Categorical freezing rain</dd><dt><span>short_name :</span></dt><dd>cfrzr</dd><dt><span>units :</span></dt><dd>0=no; 1=yes</dd><dt><span>step_type :</span></dt><dd>instant</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> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 263352 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", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>categorical_ice_pellets_surface</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-3318c5d9-3099-4611-81ba-5f3e494d8fde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3318c5d9-3099-4611-81ba-5f3e494d8fde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61def647-277c-4d7d-8c1c-8a90e91071ce' class='xr-var-data-in' type='checkbox'><label for='data-61def647-277c-4d7d-8c1c-8a90e91071ce' 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>Categorical ice pellets</dd><dt><span>short_name :</span></dt><dd>cicep</dd><dt><span>units :</span></dt><dd>0=no; 1=yes</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
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| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
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| " <td> (10973, 49, 1059, 1799) </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>downward_long_wave_radiation_flux_surface</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-f2dbdb12-cf32-4d2b-9226-d36c85d768ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2dbdb12-cf32-4d2b-9226-d36c85d768ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98a0f5e7-2774-44d7-8501-e595d972e3f3' class='xr-var-data-in' type='checkbox'><label for='data-98a0f5e7-2774-44d7-8501-e595d972e3f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface downward long-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>sdlwrf</dd><dt><span>units :</span></dt><dd>W/(m^2)</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
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| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 263352 chunks in 2 graph layers </td>\n", | |
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| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>composite_reflectivity</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-308b6fee-d7e1-4ea8-bd4a-4beabfcd7356' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-308b6fee-d7e1-4ea8-bd4a-4beabfcd7356' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-316ff778-8041-4c7d-8202-684d7dbbe12a' class='xr-var-data-in' type='checkbox'><label for='data-316ff778-8041-4c7d-8202-684d7dbbe12a' 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>Composite reflectivity</dd><dt><span>short_name :</span></dt><dd>refc</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
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| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
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| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geopotential_height_cloud_ceiling</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-02df5e9b-7142-4666-8eed-4bdf922a7e34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02df5e9b-7142-4666-8eed-4bdf922a7e34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0905fbe-832f-4288-bb14-a0c7156a1f8e' class='xr-var-data-in' type='checkbox'><label for='data-f0905fbe-832f-4288-bb14-a0c7156a1f8e' 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>Geopotential height</dd><dt><span>short_name :</span></dt><dd>gh</dd><dt><span>units :</span></dt><dd>gpm</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
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| " <td colspan=\"2\"> 263352 chunks in 2 graph layers </td>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_frozen_precipitation_surface</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-086683f3-9d8a-4c66-b9c2-3b92708cf369' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-086683f3-9d8a-4c66-b9c2-3b92708cf369' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a1d2666-4b92-40e0-ad0a-984ee9b5bc21' class='xr-var-data-in' type='checkbox'><label for='data-6a1d2666-4b92-40e0-ad0a-984ee9b5bc21' 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>Percent frozen precipitation</dd><dt><span>short_name :</span></dt><dd>cpofp</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>step_type :</span></dt><dd>instant</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> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
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| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>downward_short_wave_radiation_flux_surface</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-32bcffd0-b6bd-456a-a287-56b882ccb17e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32bcffd0-b6bd-456a-a287-56b882ccb17e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6922ae9d-002d-4f9b-8d49-29ac3d414d7d' class='xr-var-data-in' type='checkbox'><label for='data-6922ae9d-002d-4f9b-8d49-29ac3d414d7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface downward short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>sdswrf</dd><dt><span>units :</span></dt><dd>W/(m^2)</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
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| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 263352 chunks in 2 graph layers </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>categorical_snow_surface</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-ede4e8d5-f04f-4e17-b8e4-7c4326dc2c9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ede4e8d5-f04f-4e17-b8e4-7c4326dc2c9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80b5ee67-90f4-42fc-997c-8d175bf07284' class='xr-var-data-in' type='checkbox'><label for='data-80b5ee67-90f4-42fc-997c-8d175bf07284' 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>Categorical snow</dd><dt><span>short_name :</span></dt><dd>csnow</dd><dt><span>units :</span></dt><dd>0=no; 1=yes</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
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| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
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| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitable_water_atmosphere</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-69379d46-64cd-4abf-9e7f-5d981842b8a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69379d46-64cd-4abf-9e7f-5d981842b8a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce80cfef-4e2e-496a-9a63-d63fbdf5eb69' class='xr-var-data-in' type='checkbox'><label for='data-ce80cfef-4e2e-496a-9a63-d63fbdf5eb69' 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>Precipitable water</dd><dt><span>short_name :</span></dt><dd>pwat</dd><dt><span>units :</span></dt><dd>kg/(m^2)</dd><dt><span>step_type :</span></dt><dd>instant</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> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 263352 chunks in 2 graph layers </td>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_surface</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-7d15e961-2008-4311-bc93-f6ca8e7477a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d15e961-2008-4311-bc93-f6ca8e7477a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a43156d2-3a9f-4f4f-83f5-be59bd2be351' class='xr-var-data-in' type='checkbox'><label for='data-a43156d2-3a9f-4f4f-83f5-be59bd2be351' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface pressure</dd><dt><span>short_name :</span></dt><dd>sp</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
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| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 263352 chunks in 2 graph layers </td>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_2m</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-f889ad6a-255d-48bc-a1ba-c585f22d0cb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f889ad6a-255d-48bc-a1ba-c585f22d0cb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30d33d0d-412f-4a8c-abb9-45a5b76ba6c8' class='xr-var-data-in' type='checkbox'><label for='data-30d33d0d-412f-4a8c-abb9-45a5b76ba6c8' 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>2 metre temperature</dd><dt><span>short_name :</span></dt><dd>t2m</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
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| " <td> (10973, 49, 1059, 1799) </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_cloud_cover_atmosphere</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-fc6c158d-e845-4e9e-8bbf-51bf1bbf149c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc6c158d-e845-4e9e-8bbf-51bf1bbf149c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-550e7ca4-2dad-4eeb-b715-7bb54dd9ff5c' class='xr-var-data-in' type='checkbox'><label for='data-550e7ca4-2dad-4eeb-b715-7bb54dd9ff5c' 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>Total Cloud Cover</dd><dt><span>short_name :</span></dt><dd>tcc</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
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| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
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| " <th> Data type </th>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_u_10m</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-61df3180-f2e3-43ca-b4c3-18493cdd897c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61df3180-f2e3-43ca-b4c3-18493cdd897c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-538c9db2-3dff-4e48-a044-1aa818b626a0' class='xr-var-data-in' type='checkbox'><label for='data-538c9db2-3dff-4e48-a044-1aa818b626a0' 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>10 metre U wind component</dd><dt><span>short_name :</span></dt><dd>u10</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
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| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
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| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_u_80m</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-1535ea40-9271-4544-886a-3988796aeda9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1535ea40-9271-4544-886a-3988796aeda9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0952526f-7c65-4e4e-845c-b02b9dc42c5f' class='xr-var-data-in' type='checkbox'><label for='data-0952526f-7c65-4e4e-845c-b02b9dc42c5f' 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>U-component of wind (80 m above ground)</dd><dt><span>short_name :</span></dt><dd>u80</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
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| " <tr>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
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| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
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| " <tr>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_surface</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-09380f0e-0919-4b83-9d2c-cf1437bca33f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09380f0e-0919-4b83-9d2c-cf1437bca33f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bdbeece-455a-42cb-95da-6400dc526827' class='xr-var-data-in' type='checkbox'><label for='data-3bdbeece-455a-42cb-95da-6400dc526827' 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>Total Precipitation</dd><dt><span>short_name :</span></dt><dd>tp</dd><dt><span>units :</span></dt><dd>mm/s</dd><dt><span>comment :</span></dt><dd>Average precipitation rate since the previous forecast step.</dd><dt><span>step_type :</span></dt><dd>avg</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
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| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 263352 chunks in 2 graph layers </td>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_reduced_to_mean_sea_level</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-75aec452-4e6b-4c65-9566-0744c5474828' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75aec452-4e6b-4c65-9566-0744c5474828' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e355555c-e7cb-4575-8512-73906fba20b6' class='xr-var-data-in' type='checkbox'><label for='data-e355555c-e7cb-4575-8512-73906fba20b6' 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>Pressure reduced to MSL</dd><dt><span>short_name :</span></dt><dd>prmsl</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
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| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
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| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 263352 chunks in 2 graph layers </td>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>relative_humidity_2m</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-ed5a6c5e-e39d-480c-8b28-727802c723c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed5a6c5e-e39d-480c-8b28-727802c723c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-475e5f4e-57ea-48fd-bf36-552bbb1c3fdf' class='xr-var-data-in' type='checkbox'><label for='data-475e5f4e-57ea-48fd-bf36-552bbb1c3fdf' 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>2 metre relative humidity</dd><dt><span>short_name :</span></dt><dd>r2</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>step_type :</span></dt><dd>instant</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> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 263352 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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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_v_80m</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-833ee33d-2d42-458b-ba28-f828d92f184f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-833ee33d-2d42-458b-ba28-f828d92f184f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b493bca6-b9f2-4ebc-bcd1-10f704495212' class='xr-var-data-in' type='checkbox'><label for='data-b493bca6-b9f2-4ebc-bcd1-10f704495212' 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>V-component of wind (80 m above ground)</dd><dt><span>short_name :</span></dt><dd>v80</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <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> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
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| " <td colspan=\"2\"> 263352 chunks in 2 graph layers </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_v_10m</span></div><div class='xr-var-dims'>(init_time, lead_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray></div><input id='attrs-ac0ff16f-3711-4c1b-8d26-9c582dc31a02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac0ff16f-3711-4c1b-8d26-9c582dc31a02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a09da230-8656-40ea-b3d7-e23f14f67595' class='xr-var-data-in' type='checkbox'><label for='data-a09da230-8656-40ea-b3d7-e23f14f67595' 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>10 metre V wind component</dd><dt><span>short_name :</span></dt><dd>v10</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 3.73 TiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (10973, 49, 1059, 1799) </td>\n", | |
| " <td> (1, 49, 265, 300) </td>\n", | |
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| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 263352 chunks in 2 graph layers </td>\n", | |
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| " <th> Data type </th>\n", | |
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| "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-889a9bbc-bec9-4f37-b1c5-2257bc19f72d' class='xr-section-summary-in' type='checkbox' ><label for='section-889a9bbc-bec9-4f37-b1c5-2257bc19f72d' 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>init_time<br>lead_time<br>valid_time</div></div><div class='xr-index-preview'>ForecastIndex</div><input type='checkbox' disabled/><label></label><input id='index-f795a0aa-fd82-40d4-b427-6cb7a0ad832b' class='xr-index-data-in' type='checkbox'/><label for='index-f795a0aa-fd82-40d4-b427-6cb7a0ad832b' 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><ForecastIndex along [valid_time, init_time, lead_time]></pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d6b39fd-dc6a-4304-89c2-6f738b99e31f' class='xr-section-summary-in' type='checkbox' ><label for='section-3d6b39fd-dc6a-4304-89c2-6f738b99e31f' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>dataset_id :</span></dt><dd>noaa-hrrr-forecast-48-hour</dd><dt><span>dataset_version :</span></dt><dd>0.1.0</dd><dt><span>name :</span></dt><dd>NOAA HRRR forecast, 48 hour</dd><dt><span>description :</span></dt><dd>Weather forecasts from the High-Resolution Rapid Refresh (HRRR) model operated by NOAA NWS NCEP.</dd><dt><span>attribution :</span></dt><dd>NOAA NWS NCEP HRRR data processed by dynamical.org from NOAA Open Data Dissemination archives.</dd><dt><span>spatial_domain :</span></dt><dd>Continental United States</dd><dt><span>spatial_resolution :</span></dt><dd>3 km</dd><dt><span>time_domain :</span></dt><dd>Forecasts initialized 2018-07-13 12:00:00 UTC to Present</dd><dt><span>time_resolution :</span></dt><dd>Forecasts initialized every 6 hours</dd><dt><span>forecast_domain :</span></dt><dd>Forecast lead time 0-48 hours ahead</dd><dt><span>forecast_resolution :</span></dt><dd>Hourly</dd></dl></div></li></ul></div></div>" | |
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| "text/plain": [ | |
| "<xarray.Dataset> Size: 82TB\n", | |
| "Dimensions: (init_time: 10973,\n", | |
| " lead_time: 49, y: 1059, x: 1799)\n", | |
| "Coordinates:\n", | |
| " * init_time (init_time) datetime64[ns] 88kB ...\n", | |
| " * lead_time (lead_time) timedelta64[ns] 392B ...\n", | |
| " * y (y) float64 8kB 1.587e+06 ......\n", | |
| " * x (x) float64 14kB -2.698e+06 ....\n", | |
| " longitude (y, x) float32 8MB dask.array<chunksize=(1059, 1799), meta=np.ndarray>\n", | |
| " expected_forecast_length (init_time) timedelta64[ns] 88kB dask.array<chunksize=(10973,), meta=np.ndarray>\n", | |
| " ingested_forecast_length (init_time) timedelta64[ns] 88kB dask.array<chunksize=(10973,), meta=np.ndarray>\n", | |
| " latitude (y, x) float32 8MB dask.array<chunksize=(1059, 1799), meta=np.ndarray>\n", | |
| " spatial_ref int64 8B ...\n", | |
| " * valid_time (init_time, lead_time) datetime64[ns] 4MB ...\n", | |
| "Data variables: (12/20)\n", | |
| " categorical_freezing_rain_surface (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " categorical_ice_pellets_surface (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " categorical_rain_surface (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " downward_long_wave_radiation_flux_surface (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " composite_reflectivity (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " geopotential_height_cloud_ceiling (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " ... ...\n", | |
| " wind_u_80m (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " precipitation_surface (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " pressure_reduced_to_mean_sea_level (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " relative_humidity_2m (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " wind_v_80m (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| " wind_v_10m (init_time, lead_time, y, x) float32 4TB dask.array<chunksize=(1, 49, 265, 300), meta=np.ndarray>\n", | |
| "Indexes:\n", | |
| " ┌ init_time ForecastIndex\n", | |
| " │ lead_time\n", | |
| " └ valid_time\n", | |
| "Attributes:\n", | |
| " dataset_id: noaa-hrrr-forecast-48-hour\n", | |
| " dataset_version: 0.1.0\n", | |
| " name: NOAA HRRR forecast, 48 hour\n", | |
| " description: Weather forecasts from the High-Resolution Rapid Re...\n", | |
| " attribution: NOAA NWS NCEP HRRR data processed by dynamical.org ...\n", | |
| " spatial_domain: Continental United States\n", | |
| " spatial_resolution: 3 km\n", | |
| " time_domain: Forecasts initialized 2018-07-13 12:00:00 UTC to Pr...\n", | |
| " time_resolution: Forecasts initialized every 6 hours\n", | |
| " forecast_domain: Forecast lead time 0-48 hours ahead\n", | |
| " forecast_resolution: Hourly" | |
| ] | |
| }, | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "ds" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Create a BestEstimate time series for 2026" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "CPU times: user 422 ms, sys: 50.4 ms, total: 472 ms\n", | |
| "Wall time: 467 ms\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "ds_best = ds.sel(init_time='2026').sel(valid_time=BestEstimate(offset=7)) " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Create a BestEstimate time series for the whole dataset" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "CPU times: user 1min 6s, sys: 5.5 s, total: 1min 12s\n", | |
| "Wall time: 1min 14s\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "ds_best = ds.sel(valid_time=BestEstimate(offset=2)) " | |
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| "execution_count": 7, | |
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| " 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", | |
| " border-color: var(--xr-background-color-row-odd);\n", | |
| " margin-bottom: 0;\n", | |
| " padding-top: 2px;\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", | |
| " border-color: var(--xr-background-color-row-even);\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", | |
| " border-top: 2px dotted var(--xr-background-color);\n", | |
| " padding-bottom: 20px !important;\n", | |
| " padding-top: 10px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in + label,\n", | |
| ".xr-var-data-in + label,\n", | |
| ".xr-index-data-in + label {\n", | |
| " padding: 0 1px;\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-data > pre,\n", | |
| ".xr-index-data > pre,\n", | |
| ".xr-var-data > table > tbody > tr {\n", | |
| " background-color: transparent !important;\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", | |
| "\n", | |
| ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n", | |
| ".xr-var-data-in:checked + label > .xr-icon-database,\n", | |
| ".xr-index-data-in:checked + label > .xr-icon-database {\n", | |
| " color: var(--xr-font-color0);\n", | |
| " filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n", | |
| " stroke-width: 0.8px;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset> Size: 10TB\n", | |
| "Dimensions: (valid_time: 65879, y: 1059,\n", | |
| " x: 1799)\n", | |
| "Coordinates:\n", | |
| " * valid_time (valid_time) datetime64[ns] 527kB ...\n", | |
| " * y (y) float64 8kB 1.587e+06 ......\n", | |
| " * x (x) float64 14kB -2.698e+06 ....\n", | |
| " longitude (y, x) float32 8MB dask.array<chunksize=(1059, 1799), meta=np.ndarray>\n", | |
| " expected_forecast_length (valid_time) timedelta64[ns] 527kB dask.array<chunksize=(10973,), meta=np.ndarray>\n", | |
| " ingested_forecast_length (valid_time) timedelta64[ns] 527kB dask.array<chunksize=(10973,), meta=np.ndarray>\n", | |
| " latitude (y, x) float32 8MB dask.array<chunksize=(1059, 1799), meta=np.ndarray>\n", | |
| " spatial_ref int64 8B ...\n", | |
| " init_time (valid_time) datetime64[ns] 527kB ...\n", | |
| " lead_time (valid_time) timedelta64[ns] 527kB ...\n", | |
| "Data variables: (12/20)\n", | |
| " categorical_freezing_rain_surface (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " categorical_ice_pellets_surface (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " categorical_rain_surface (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " downward_long_wave_radiation_flux_surface (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " composite_reflectivity (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " geopotential_height_cloud_ceiling (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " ... ...\n", | |
| " wind_u_80m (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " precipitation_surface (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " pressure_reduced_to_mean_sea_level (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " relative_humidity_2m (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " wind_v_80m (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " wind_v_10m (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| "Attributes:\n", | |
| " dataset_id: noaa-hrrr-forecast-48-hour\n", | |
| " dataset_version: 0.1.0\n", | |
| " name: NOAA HRRR forecast, 48 hour\n", | |
| " description: Weather forecasts from the High-Resolution Rapid Re...\n", | |
| " attribution: NOAA NWS NCEP HRRR data processed by dynamical.org ...\n", | |
| " spatial_domain: Continental United States\n", | |
| " spatial_resolution: 3 km\n", | |
| " time_domain: Forecasts initialized 2018-07-13 12:00:00 UTC to Pr...\n", | |
| " time_resolution: Forecasts initialized every 6 hours\n", | |
| " forecast_domain: Forecast lead time 0-48 hours ahead\n", | |
| " forecast_resolution: Hourly</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-2b08cdce-09db-4337-8ab6-ba9c66597fc2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2b08cdce-09db-4337-8ab6-ba9c66597fc2' 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'>valid_time</span>: 65879</li><li><span class='xr-has-index'>y</span>: 1059</li><li><span class='xr-has-index'>x</span>: 1799</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e6ed2abd-2975-43a7-b48c-a6469cea0902' class='xr-section-summary-in' type='checkbox' checked><label for='section-e6ed2abd-2975-43a7-b48c-a6469cea0902' class='xr-section-summary' >Coordinates: <span>(10)</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'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2018-07-13T14:00:00 ... 2026-01-...</div><input id='attrs-be5b0e0c-70e1-4563-81f4-fd29e43b7beb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be5b0e0c-70e1-4563-81f4-fd29e43b7beb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9e74ddd-fcdc-4ddc-a245-86c722787f2e' class='xr-var-data-in' type='checkbox'><label for='data-f9e74ddd-fcdc-4ddc-a245-86c722787f2e' 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>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2018-07-13T14:00:00.000000000', '2018-07-13T15:00:00.000000000',\n", | |
| " '2018-07-13T16:00:00.000000000', ..., '2026-01-17T10:00:00.000000000',\n", | |
| " '2026-01-17T11:00:00.000000000', '2026-01-17T12:00:00.000000000'],\n", | |
| " shape=(65879,), dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.587e+06 1.584e+06 ... -1.587e+06</div><input id='attrs-70175ec9-be94-4af0-b2a6-e9eff4a9a7ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70175ec9-be94-4af0-b2a6-e9eff4a9a7ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e4691f9-21ce-433c-abe3-fdab83b41123' class='xr-var-data-in' type='checkbox'><label for='data-3e4691f9-21ce-433c-abe3-fdab83b41123' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': -1600000.0, 'max': 1600000.0}</dd></dl></div><div class='xr-var-data'><pre>array([ 1586693.847443, 1583693.847443, 1580693.847443, ..., -1581306.152557,\n", | |
| " -1584306.152557, -1587306.152557], shape=(1059,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.698e+06 -2.695e+06 ... 2.696e+06</div><input id='attrs-24195880-e655-46a3-9deb-f28884cb1418' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24195880-e655-46a3-9deb-f28884cb1418' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-157a5ccc-860f-4b2f-847f-1c32795bf573' class='xr-var-data-in' type='checkbox'><label for='data-157a5ccc-860f-4b2f-847f-1c32795bf573' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': -2700000.0, 'max': 2700000.0}</dd></dl></div><div class='xr-var-data'><pre>array([-2697520.142522, -2694520.142522, -2691520.142522, ..., 2690479.857478,\n", | |
| " 2693479.857478, 2696479.857478], shape=(1799,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1059, 1799), meta=np.ndarray></div><input id='attrs-5f154d74-b67f-43ee-8a9a-59d3d0d34d99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f154d74-b67f-43ee-8a9a-59d3d0d34d99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43644e5e-39c9-43d1-af74-46f14396a212' class='xr-var-data-in' type='checkbox'><label for='data-43644e5e-39c9-43d1-af74-46f14396a212' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': -134.09548, 'max': -60.917192}</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> 7.27 MiB </td>\n", | |
| " <td> 7.27 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (1059, 1799) </td>\n", | |
| " <td> (1059, 1799) </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", | |
| " <svg width=\"170\" height=\"120\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"70\" x2=\"120\" y2=\"70\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"70\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"70\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,70.63924402445804 0.0,70.63924402445804\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.0\" y=\"90.63924402445804\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1799</text>\n", | |
| " <text x=\"140.0\" y=\"35.31962201222902\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.0,35.31962201222902)\">1059</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>expected_forecast_length</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(10973,), meta=np.ndarray></div><input id='attrs-823766de-37e6-479b-9446-2d519c88048c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-823766de-37e6-479b-9446-2d519c88048c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc3ed673-f9d3-44d5-89f6-892328088462' class='xr-var-data-in' type='checkbox'><label for='data-dc3ed673-f9d3-44d5-89f6-892328088462' 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>statistics_approximate :</span></dt><dd>{'min': '0 days 00:00:00', 'max': '2 days 00:00:00'}</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> 514.68 kiB </td>\n", | |
| " <td> 85.73 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879,) </td>\n", | |
| " <td> (10973,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 7 chunks in 3 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> timedelta64[ns] numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"19\" y1=\"0\" x2=\"19\" y2=\"25\" />\n", | |
| " <line x1=\"39\" y1=\"0\" x2=\"39\" y2=\"25\" />\n", | |
| " <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"25\" />\n", | |
| " <line x1=\"79\" y1=\"0\" x2=\"79\" y2=\"25\" />\n", | |
| " <line x1=\"99\" y1=\"0\" x2=\"99\" y2=\"25\" />\n", | |
| " <line x1=\"119\" y1=\"0\" x2=\"119\" y2=\"25\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.0\" y=\"45.41261651458248\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >65879</text>\n", | |
| " <text x=\"140.0\" y=\"12.706308257291242\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.0,12.706308257291242)\">1</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ingested_forecast_length</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(10973,), meta=np.ndarray></div><input id='attrs-51a84d94-dae3-464f-9514-6b28131138f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51a84d94-dae3-464f-9514-6b28131138f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a208929d-2692-417d-85da-13376631a199' class='xr-var-data-in' type='checkbox'><label for='data-a208929d-2692-417d-85da-13376631a199' 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>statistics_approximate :</span></dt><dd>{'min': '0 days 00:00:00', 'max': '2 days 00:00:00'}</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> 514.68 kiB </td>\n", | |
| " <td> 85.73 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879,) </td>\n", | |
| " <td> (10973,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 7 chunks in 3 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> timedelta64[ns] numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
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| " <line x1=\"39\" y1=\"0\" x2=\"39\" y2=\"25\" />\n", | |
| " <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"25\" />\n", | |
| " <line x1=\"79\" y1=\"0\" x2=\"79\" y2=\"25\" />\n", | |
| " <line x1=\"99\" y1=\"0\" x2=\"99\" y2=\"25\" />\n", | |
| " <line x1=\"119\" y1=\"0\" x2=\"119\" y2=\"25\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.0\" y=\"45.41261651458248\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >65879</text>\n", | |
| " <text x=\"140.0\" y=\"12.706308257291242\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.0,12.706308257291242)\">1</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1059, 1799), meta=np.ndarray></div><input id='attrs-7025bf22-3dd2-44da-a766-f103c61526ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7025bf22-3dd2-44da-a766-f103c61526ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b0daaac-b234-4615-962c-0932a0f0ac19' class='xr-var-data-in' type='checkbox'><label for='data-6b0daaac-b234-4615-962c-0932a0f0ac19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': 21.138123, 'max': 52.615653}</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> 7.27 MiB </td>\n", | |
| " <td> 7.27 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (1059, 1799) </td>\n", | |
| " <td> (1059, 1799) </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", | |
| " <svg width=\"170\" height=\"120\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"70\" x2=\"120\" y2=\"70\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"70\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"70\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,70.63924402445804 0.0,70.63924402445804\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.0\" y=\"90.63924402445804\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1799</text>\n", | |
| " <text x=\"140.0\" y=\"35.31962201222902\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.0,35.31962201222902)\">1059</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></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-9db7623a-16cf-4874-89a7-e0fcacae4811' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9db7623a-16cf-4874-89a7-e0fcacae4811' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eedcfbd8-a5dd-430b-8d17-ac12dc22def9' class='xr-var-data-in' type='checkbox'><label for='data-eedcfbd8-a5dd-430b-8d17-ac12dc22def9' 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>crs_wkt :</span></dt><dd>PROJCS["unnamed",GEOGCS["Coordinate System imported from GRIB file",DATUM["unnamed",SPHEROID["Sphere",6371229,0]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["latitude_of_origin",38.5],PARAMETER["central_meridian",-97.5],PARAMETER["standard_parallel_1",38.5],PARAMETER["standard_parallel_2",38.5],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["Metre",1],AXIS["Easting",EAST],AXIS["Northing",NORTH]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>Sphere</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>Coordinate System imported from GRIB file</dd><dt><span>horizontal_datum_name :</span></dt><dd>unnamed</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS["unnamed",GEOGCS["Coordinate System imported from GRIB file",DATUM["unnamed",SPHEROID["Sphere",6371229,0]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["latitude_of_origin",38.5],PARAMETER["central_meridian",-97.5],PARAMETER["standard_parallel_1",38.5],PARAMETER["standard_parallel_2",38.5],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["Metre",1],AXIS["Easting",EAST],AXIS["Northing",NORTH]]</dd><dt><span>GeoTransform :</span></dt><dd>-2699020.142521929 3000.0 0.0 1588193.847443335 0.0 -3000.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-97.5</dd><dt><span>projected_crs_name :</span></dt><dd>unnamed</dd><dt><span>standard_parallel :</span></dt><dd>[38.5, 38.5]</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>init_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2018-07-13T12:00:00 ... 2026-01-...</div><input id='attrs-af8587f6-7c3c-419e-848e-9206caa989d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af8587f6-7c3c-419e-848e-9206caa989d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcf06494-294e-440a-9b06-33cfac1eb4b2' class='xr-var-data-in' type='checkbox'><label for='data-fcf06494-294e-440a-9b06-33cfac1eb4b2' 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>statistics_approximate :</span></dt><dd>{'min': '2018-07-13T12:00:00', 'max': 'Present'}</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(['2018-07-13T12:00:00.000000000', '2018-07-13T12:00:00.000000000',\n", | |
| " '2018-07-13T12:00:00.000000000', ..., '2026-01-15T12:00:00.000000000',\n", | |
| " '2026-01-15T12:00:00.000000000', '2026-01-15T12:00:00.000000000'],\n", | |
| " shape=(65879,), dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lead_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>02:00:00 ... 2 days 00:00:00</div><input id='attrs-4aaad478-c43c-4460-9756-2dee9659a812' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4aaad478-c43c-4460-9756-2dee9659a812' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98b9076f-1363-43be-8872-3b08d3f50d80' class='xr-var-data-in' type='checkbox'><label for='data-98b9076f-1363-43be-8872-3b08d3f50d80' 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>statistics_approximate :</span></dt><dd>{'min': '0 days 00:00:00', 'max': '2 days 00:00:00'}</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array([ 7200000000000, 10800000000000, 14400000000000, ..., 165600000000000,\n", | |
| " 169200000000000, 172800000000000],\n", | |
| " shape=(65879,), dtype='timedelta64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f7fc69d8-dab9-40e1-978f-ef90ca42aa00' class='xr-section-summary-in' type='checkbox' ><label for='section-f7fc69d8-dab9-40e1-978f-ef90ca42aa00' class='xr-section-summary' >Data variables: <span>(20)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>categorical_freezing_rain_surface</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-bad0d925-def8-455d-8b7b-827428f4cd83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bad0d925-def8-455d-8b7b-827428f4cd83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-210e31ca-2154-4581-9732-c89efa940e26' class='xr-var-data-in' type='checkbox'><label for='data-210e31ca-2154-4581-9732-c89efa940e26' 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>Categorical freezing rain</dd><dt><span>short_name :</span></dt><dd>cfrzr</dd><dt><span>units :</span></dt><dd>0=no; 1=yes</dd><dt><span>step_type :</span></dt><dd>instant</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> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 32280 chunks in 4 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", | |
| " <svg width=\"161\" height=\"148\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>categorical_ice_pellets_surface</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-054bdad0-107e-4160-ad71-c68b107c9ec0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-054bdad0-107e-4160-ad71-c68b107c9ec0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7d3b989-74e7-4335-86bf-bb198411b504' class='xr-var-data-in' type='checkbox'><label for='data-c7d3b989-74e7-4335-86bf-bb198411b504' 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>Categorical ice pellets</dd><dt><span>short_name :</span></dt><dd>cicep</dd><dt><span>units :</span></dt><dd>0=no; 1=yes</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
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| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
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| " <tr>\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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| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
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| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
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| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 32280 chunks in 4 graph layers </td>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>downward_long_wave_radiation_flux_surface</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-cd465bdd-62fc-4fe6-bd5d-1a44b53d89a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd465bdd-62fc-4fe6-bd5d-1a44b53d89a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49f2ec2f-ab70-4adc-aed0-dd5f915e4530' class='xr-var-data-in' type='checkbox'><label for='data-49f2ec2f-ab70-4adc-aed0-dd5f915e4530' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface downward long-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>sdlwrf</dd><dt><span>units :</span></dt><dd>W/(m^2)</dd><dt><span>step_type :</span></dt><dd>instant</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> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 32280 chunks in 4 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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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>composite_reflectivity</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-4304afe9-0e11-494e-9fdc-6cc40040a342' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4304afe9-0e11-494e-9fdc-6cc40040a342' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51e50aa0-4d98-4ffd-bc1f-8193738885c9' class='xr-var-data-in' type='checkbox'><label for='data-51e50aa0-4d98-4ffd-bc1f-8193738885c9' 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>Composite reflectivity</dd><dt><span>short_name :</span></dt><dd>refc</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
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| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
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| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geopotential_height_cloud_ceiling</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-a8fcd725-27d0-4056-b73f-5adcf2fac0ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8fcd725-27d0-4056-b73f-5adcf2fac0ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43f624fb-7068-4f17-86c1-6a8024205e6f' class='xr-var-data-in' type='checkbox'><label for='data-43f624fb-7068-4f17-86c1-6a8024205e6f' 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>Geopotential height</dd><dt><span>short_name :</span></dt><dd>gh</dd><dt><span>units :</span></dt><dd>gpm</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_frozen_precipitation_surface</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-2067de89-eb42-4de8-bd2b-8225b654b46f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2067de89-eb42-4de8-bd2b-8225b654b46f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f74f3c1b-7c8e-4319-b8e6-25796ba28ff9' class='xr-var-data-in' type='checkbox'><label for='data-f74f3c1b-7c8e-4319-b8e6-25796ba28ff9' 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>Percent frozen precipitation</dd><dt><span>short_name :</span></dt><dd>cpofp</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
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| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
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| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 32280 chunks in 4 graph layers </td>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>downward_short_wave_radiation_flux_surface</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-27c153ad-08f0-4c23-908a-528ba6d51c57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27c153ad-08f0-4c23-908a-528ba6d51c57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efedbc53-0241-4e5e-83e9-5083d5784ce2' class='xr-var-data-in' type='checkbox'><label for='data-efedbc53-0241-4e5e-83e9-5083d5784ce2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface downward short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>sdswrf</dd><dt><span>units :</span></dt><dd>W/(m^2)</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
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| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>categorical_snow_surface</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-768298c8-690a-4ebe-b7e8-c0b58babf60f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-768298c8-690a-4ebe-b7e8-c0b58babf60f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66ae02ab-5550-4745-a0bc-01e63e5dad76' class='xr-var-data-in' type='checkbox'><label for='data-66ae02ab-5550-4745-a0bc-01e63e5dad76' 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>Categorical snow</dd><dt><span>short_name :</span></dt><dd>csnow</dd><dt><span>units :</span></dt><dd>0=no; 1=yes</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <tr>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
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| " <th> Dask graph </th>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitable_water_atmosphere</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-e58d9f82-3a71-401d-b1f3-dbc88e87d9b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e58d9f82-3a71-401d-b1f3-dbc88e87d9b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a680657-351c-4c51-ac93-00ea26d65795' class='xr-var-data-in' type='checkbox'><label for='data-5a680657-351c-4c51-ac93-00ea26d65795' 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>Precipitable water</dd><dt><span>short_name :</span></dt><dd>pwat</dd><dt><span>units :</span></dt><dd>kg/(m^2)</dd><dt><span>step_type :</span></dt><dd>instant</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> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
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| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_surface</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-fe7e9ad3-63b1-46ca-b6f8-fef96a0a04e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe7e9ad3-63b1-46ca-b6f8-fef96a0a04e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ce7d4ba-9021-4ae5-9e7e-d611b7c0f68d' class='xr-var-data-in' type='checkbox'><label for='data-0ce7d4ba-9021-4ae5-9e7e-d611b7c0f68d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface pressure</dd><dt><span>short_name :</span></dt><dd>sp</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
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| " <th> Dask graph </th>\n", | |
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| " <th> Data type </th>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_2m</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-6578cff9-e771-42f8-94ae-ec95ef117213' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6578cff9-e771-42f8-94ae-ec95ef117213' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-042d3028-2da4-46ee-8cdb-5a25c39b7af0' class='xr-var-data-in' type='checkbox'><label for='data-042d3028-2da4-46ee-8cdb-5a25c39b7af0' 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>2 metre temperature</dd><dt><span>short_name :</span></dt><dd>t2m</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
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| " <tr>\n", | |
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| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
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| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
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| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
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| " <th> Data type </th>\n", | |
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| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
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| " <td> 14.86 MiB </td>\n", | |
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| " <tr>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_u_10m</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-72140a0f-3de0-41c0-80f9-b7d4bf1172e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72140a0f-3de0-41c0-80f9-b7d4bf1172e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60592ea0-28ee-4cea-bc46-3395f6f68fc3' class='xr-var-data-in' type='checkbox'><label for='data-60592ea0-28ee-4cea-bc46-3395f6f68fc3' 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>10 metre U wind component</dd><dt><span>short_name :</span></dt><dd>u10</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
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| " <tr>\n", | |
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| " <th> Array </th>\n", | |
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| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
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| " <tr>\n", | |
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| " <th> Data type </th>\n", | |
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| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_surface</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-5d4c7f49-8b8f-431c-96c4-8105a750b817' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d4c7f49-8b8f-431c-96c4-8105a750b817' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6087dc4e-0371-46a5-aea2-5e42e20dfde9' class='xr-var-data-in' type='checkbox'><label for='data-6087dc4e-0371-46a5-aea2-5e42e20dfde9' 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>Total Precipitation</dd><dt><span>short_name :</span></dt><dd>tp</dd><dt><span>units :</span></dt><dd>mm/s</dd><dt><span>comment :</span></dt><dd>Average precipitation rate since the previous forecast step.</dd><dt><span>step_type :</span></dt><dd>avg</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> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 32280 chunks in 4 graph layers </td>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_reduced_to_mean_sea_level</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-9e8d6139-a7b2-4d26-bc2e-7dde85e20538' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e8d6139-a7b2-4d26-bc2e-7dde85e20538' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-469e7c72-0221-459a-8f96-b1bfa5829dfa' class='xr-var-data-in' type='checkbox'><label for='data-469e7c72-0221-459a-8f96-b1bfa5829dfa' 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>Pressure reduced to MSL</dd><dt><span>short_name :</span></dt><dd>prmsl</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <tr>\n", | |
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| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>relative_humidity_2m</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-76565957-bdd3-469a-b6a0-51855e370a94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76565957-bdd3-469a-b6a0-51855e370a94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-704cd525-81a5-418f-9ce8-f040ff724064' class='xr-var-data-in' type='checkbox'><label for='data-704cd525-81a5-418f-9ce8-f040ff724064' 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>2 metre relative humidity</dd><dt><span>short_name :</span></dt><dd>r2</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>step_type :</span></dt><dd>instant</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> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_v_80m</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-17a97db8-097e-4481-8dc2-1e9af6afe402' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17a97db8-097e-4481-8dc2-1e9af6afe402' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4760651b-81fa-428c-a232-40a132aa6f33' class='xr-var-data-in' type='checkbox'><label for='data-4760651b-81fa-428c-a232-40a132aa6f33' 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>V-component of wind (80 m above ground)</dd><dt><span>short_name :</span></dt><dd>v80</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <tr>\n", | |
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| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_v_10m</span></div><div class='xr-var-dims'>(valid_time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(49, 265, 300), meta=np.ndarray></div><input id='attrs-0966de17-8f4b-4bb7-8f35-2d200c928cf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0966de17-8f4b-4bb7-8f35-2d200c928cf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7927d201-d3f7-4051-84fc-0316e4d5fbcd' class='xr-var-data-in' type='checkbox'><label for='data-7927d201-d3f7-4051-84fc-0316e4d5fbcd' 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>10 metre V wind component</dd><dt><span>short_name :</span></dt><dd>v10</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
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| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 467.56 GiB </td>\n", | |
| " <td> 14.86 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (65879, 1059, 1799) </td>\n", | |
| " <td> (49, 265, 300) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 32280 chunks in 4 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
| " </tr>\n", | |
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| " </td>\n", | |
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| ], | |
| "text/plain": [ | |
| "<xarray.Dataset> Size: 10TB\n", | |
| "Dimensions: (valid_time: 65879, y: 1059,\n", | |
| " x: 1799)\n", | |
| "Coordinates:\n", | |
| " * valid_time (valid_time) datetime64[ns] 527kB ...\n", | |
| " * y (y) float64 8kB 1.587e+06 ......\n", | |
| " * x (x) float64 14kB -2.698e+06 ....\n", | |
| " longitude (y, x) float32 8MB dask.array<chunksize=(1059, 1799), meta=np.ndarray>\n", | |
| " expected_forecast_length (valid_time) timedelta64[ns] 527kB dask.array<chunksize=(10973,), meta=np.ndarray>\n", | |
| " ingested_forecast_length (valid_time) timedelta64[ns] 527kB dask.array<chunksize=(10973,), meta=np.ndarray>\n", | |
| " latitude (y, x) float32 8MB dask.array<chunksize=(1059, 1799), meta=np.ndarray>\n", | |
| " spatial_ref int64 8B ...\n", | |
| " init_time (valid_time) datetime64[ns] 527kB ...\n", | |
| " lead_time (valid_time) timedelta64[ns] 527kB ...\n", | |
| "Data variables: (12/20)\n", | |
| " categorical_freezing_rain_surface (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " categorical_ice_pellets_surface (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " categorical_rain_surface (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " downward_long_wave_radiation_flux_surface (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " composite_reflectivity (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " geopotential_height_cloud_ceiling (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " ... ...\n", | |
| " wind_u_80m (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " precipitation_surface (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " pressure_reduced_to_mean_sea_level (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " relative_humidity_2m (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " wind_v_80m (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| " wind_v_10m (valid_time, y, x) float32 502GB dask.array<chunksize=(49, 265, 300), meta=np.ndarray>\n", | |
| "Attributes:\n", | |
| " dataset_id: noaa-hrrr-forecast-48-hour\n", | |
| " dataset_version: 0.1.0\n", | |
| " name: NOAA HRRR forecast, 48 hour\n", | |
| " description: Weather forecasts from the High-Resolution Rapid Re...\n", | |
| " attribution: NOAA NWS NCEP HRRR data processed by dynamical.org ...\n", | |
| " spatial_domain: Continental United States\n", | |
| " spatial_resolution: 3 km\n", | |
| " time_domain: Forecasts initialized 2018-07-13 12:00:00 UTC to Pr...\n", | |
| " time_resolution: Forecasts initialized every 6 hours\n", | |
| " forecast_domain: Forecast lead time 0-48 hours ahead\n", | |
| " forecast_resolution: Hourly" | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
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| "ds_best" | |
| ] | |
| }, | |
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| "#### Visualize Best Time Series Dataset with Holoviz" | |
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| " const shouldSkip = skip.includes(escaped) || existing_scripts.includes(escaped)\n", | |
| " const isBokehOrPanel = BK_RE.test(escaped) || PN_RE.test(escaped)\n", | |
| " const missingOrBroken = Bokeh == null || Bokeh.Panel == null || (Bokeh.version != version && !Bokeh.versions?.has(version)) || Bokeh.versions?.get(version)?.Panel == null;\n", | |
| " if (shouldSkip && !(isBokehOrPanel && missingOrBroken)) {\n", | |
| " if (!window.requirejs) {\n", | |
| " on_load();\n", | |
| " }\n", | |
| " continue;\n", | |
| " }\n", | |
| " const element = document.createElement('script');\n", | |
| " element.onload = on_load;\n", | |
| " element.onerror = on_error;\n", | |
| " element.async = false;\n", | |
| " element.src = url;\n", | |
| " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", | |
| " document.head.appendChild(element);\n", | |
| " }\n", | |
| " for (let i = 0; i < js_modules.length; i++) {\n", | |
| " const url = js_modules[i];\n", | |
| " const escaped = encodeURI(url)\n", | |
| " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", | |
| " if (!window.requirejs) {\n", | |
| " on_load();\n", | |
| " }\n", | |
| " continue;\n", | |
| " }\n", | |
| " var element = document.createElement('script');\n", | |
| " element.onload = on_load;\n", | |
| " element.onerror = on_error;\n", | |
| " element.async = false;\n", | |
| " element.src = url;\n", | |
| " element.type = \"module\";\n", | |
| " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", | |
| " document.head.appendChild(element);\n", | |
| " }\n", | |
| " for (const name in js_exports) {\n", | |
| " const url = js_exports[name];\n", | |
| " const escaped = encodeURI(url)\n", | |
| " if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n", | |
| " if (!window.requirejs) {\n", | |
| " on_load();\n", | |
| " }\n", | |
| " continue;\n", | |
| " }\n", | |
| " var element = document.createElement('script');\n", | |
| " element.onerror = on_error;\n", | |
| " element.async = false;\n", | |
| " element.type = \"module\";\n", | |
| " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", | |
| " element.textContent = `\n", | |
| " import ${name} from \"${url}\"\n", | |
| " window.${name} = ${name}\n", | |
| " window._bokeh_on_load()\n", | |
| " `\n", | |
| " document.head.appendChild(element);\n", | |
| " }\n", | |
| " if (!js_urls.length && !js_modules.length) {\n", | |
| " on_load()\n", | |
| " }\n", | |
| " };\n", | |
| "\n", | |
| " function inject_raw_css(css) {\n", | |
| " const element = document.createElement(\"style\");\n", | |
| " element.appendChild(document.createTextNode(css));\n", | |
| " document.body.appendChild(element);\n", | |
| " }\n", | |
| "\n", | |
| " const js_urls = [\"https://cdn.holoviz.org/panel/1.8.5/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.8.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.8.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.8.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.8.1.min.js\", \"https://cdn.holoviz.org/panel/1.8.5/dist/panel.min.js\"];\n", | |
| " const js_modules = [];\n", | |
| " const js_exports = {};\n", | |
| " const css_urls = [];\n", | |
| " const inline_js = [ function(Bokeh) {\n", | |
| " Bokeh.set_log_level(\"info\");\n", | |
| " },\n", | |
| "function(Bokeh) {} // ensure no trailing comma for IE\n", | |
| " ];\n", | |
| "\n", | |
| " function run_inline_js() {\n", | |
| " if ((root.Bokeh !== undefined) || (force === true)) {\n", | |
| " for (let i = 0; i < inline_js.length; i++) {\n", | |
| " try {\n", | |
| " inline_js[i].call(root, root.Bokeh);\n", | |
| " } catch(e) {\n", | |
| " if (!reloading) {\n", | |
| " throw e;\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| " } else if (Date.now() < root._bokeh_timeout) {\n", | |
| " setTimeout(run_inline_js, 100);\n", | |
| " } else if (!root._bokeh_failed_load) {\n", | |
| " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", | |
| " root._bokeh_failed_load = true;\n", | |
| " }\n", | |
| " root._bokeh_is_initializing = false;\n", | |
| " }\n", | |
| "\n", | |
| " function load_or_wait() {\n", | |
| " // Implement a backoff loop that tries to ensure we do not load multiple\n", | |
| " // versions of Bokeh and its dependencies at the same time.\n", | |
| " // In recent versions we use the root._bokeh_is_initializing flag\n", | |
| " // to determine whether there is an ongoing attempt to initialize\n", | |
| " // bokeh, however for backward compatibility we also try to ensure\n", | |
| " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n", | |
| " // before older versions are fully initialized.\n", | |
| " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n", | |
| " // If the timeout and bokeh was not successfully loaded we reset\n", | |
| " // everything and try loading again\n", | |
| " root._bokeh_timeout = Date.now() + 5000;\n", | |
| " root._bokeh_is_initializing = false;\n", | |
| " root._bokeh_onload_callbacks = undefined;\n", | |
| " root._bokeh_is_loading = 0;\n", | |
| " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n", | |
| " load_or_wait();\n", | |
| " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n", | |
| " setTimeout(load_or_wait, 100);\n", | |
| " } else {\n", | |
| " root._bokeh_is_initializing = true;\n", | |
| " root._bokeh_onload_callbacks = [];\n", | |
| " const bokeh_loaded = Bokeh != null && ((Bokeh.version === version && Bokeh.Panel) || (Bokeh.versions?.has(version) && Bokeh.versions.get(version)?.Panel));\n", | |
| " if (!reloading && !bokeh_loaded) {\n", | |
| " if (root.Bokeh) {\n", | |
| " root.Bokeh = undefined;\n", | |
| " }\n", | |
| " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", | |
| " }\n", | |
| " load_libs(css_urls, js_urls, js_modules, js_exports, Bokeh, function() {\n", | |
| " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", | |
| " run_inline_js();\n", | |
| " if (Bokeh != undefined && !reloading) {\n", | |
| " const NewBokeh = root.Bokeh;\n", | |
| " if (Bokeh.versions === undefined) {\n", | |
| " Bokeh.versions = new Map();\n", | |
| " }\n", | |
| " if (NewBokeh.version !== Bokeh.version) {\n", | |
| " Bokeh[NewBokeh.version] = NewBokeh;\n", | |
| " Bokeh.versions.set(NewBokeh.version, NewBokeh);\n", | |
| " }\n", | |
| " root.Bokeh = Bokeh;\n", | |
| " }\n", | |
| " });\n", | |
| " }\n", | |
| " }\n", | |
| " // Give older versions of the autoload script a head-start to ensure\n", | |
| " // they initialize before we start loading newer version.\n", | |
| " setTimeout(load_or_wait, 100)\n", | |
| "}(window));" | |
| ], | |
| "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n const version = '3.8.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n const reloading = false;\n const Bokeh = root.Bokeh;\n const BK_RE = /^https:\\/\\/cdn\\.bokeh\\.org\\/bokeh\\/(release|dev)\\/bokeh-/;\n const PN_RE = /^https:\\/\\/cdn\\.holoviz\\.org\\/panel\\/[^/]+\\/dist\\/panel/i;\n\n // Set a timeout for this load but only if we are not already initializing\n if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, Bokeh, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n // Don't load bokeh if it is still initializing\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n // There is nothing to load\n run_callbacks();\n return null;\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error(e) {\n const src_el = e.srcElement\n console.error(\"failed to load \" + (src_el.href || src_el.src));\n }\n\n const skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n root._bokeh_is_loading = css_urls.length + 0;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n const existing_stylesheets = []\n const links = document.getElementsByTagName('link')\n for (let i = 0; i < links.length; i++) {\n const link = links[i]\n if (link.href != null) {\n existing_stylesheets.push(link.href)\n }\n }\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const escaped = encodeURI(url)\n if (existing_stylesheets.indexOf(escaped) !== -1) {\n on_load()\n continue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } var existing_scripts = []\n const scripts = document.getElementsByTagName('script')\n for (let i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n existing_scripts.push(script.src)\n }\n }\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const escaped = encodeURI(url)\n const shouldSkip = skip.includes(escaped) || existing_scripts.includes(escaped)\n const isBokehOrPanel = BK_RE.test(escaped) || PN_RE.test(escaped)\n const missingOrBroken = Bokeh == null || Bokeh.Panel == null || (Bokeh.version != version && !Bokeh.versions?.has(version)) || Bokeh.versions?.get(version)?.Panel == null;\n if (shouldSkip && !(isBokehOrPanel && missingOrBroken)) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (let i = 0; i < js_modules.length; i++) {\n const url = js_modules[i];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n const url = js_exports[name];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.holoviz.org/panel/1.8.5/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.8.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.8.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.8.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.8.1.min.js\", \"https://cdn.holoviz.org/panel/1.8.5/dist/panel.min.js\"];\n const js_modules = [];\n const js_exports = {};\n const css_urls = [];\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (let i = 0; i < inline_js.length; i++) {\n try {\n inline_js[i].call(root, root.Bokeh);\n } catch(e) {\n if (!reloading) {\n throw e;\n }\n }\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false;\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n // If the timeout and bokeh was not successfully loaded we reset\n // everything and try loading again\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n root._bokeh_is_loading = 0;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true;\n root._bokeh_onload_callbacks = [];\n const bokeh_loaded = Bokeh != null && ((Bokeh.version === version && Bokeh.Panel) || (Bokeh.versions?.has(version) && Bokeh.versions.get(version)?.Panel));\n if (!reloading && !bokeh_loaded) {\n if (root.Bokeh) {\n root.Bokeh = undefined;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, Bokeh, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n if (Bokeh != undefined && !reloading) {\n const NewBokeh = root.Bokeh;\n if (Bokeh.versions === undefined) {\n Bokeh.versions = new Map();\n }\n if (NewBokeh.version !== Bokeh.version) {\n Bokeh[NewBokeh.version] = NewBokeh;\n Bokeh.versions.set(NewBokeh.version, NewBokeh);\n }\n root.Bokeh = Bokeh;\n }\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "application/javascript": [ | |
| "\n", | |
| "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n", | |
| " window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| " function JupyterCommManager() {\n", | |
| " }\n", | |
| "\n", | |
| " JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n", | |
| " if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n", | |
| " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n", | |
| " comm_manager.register_target(comm_id, function(comm) {\n", | |
| " comm.on_msg(msg_handler);\n", | |
| " });\n", | |
| " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n", | |
| " window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n", | |
| " comm.onMsg = msg_handler;\n", | |
| " });\n", | |
| " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n", | |
| " google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n", | |
| " var messages = comm.messages[Symbol.asyncIterator]();\n", | |
| " function processIteratorResult(result) {\n", | |
| " var message = result.value;\n", | |
| " var content = {data: message.data, comm_id};\n", | |
| " var buffers = []\n", | |
| " for (var buffer of message.buffers || []) {\n", | |
| " buffers.push(new DataView(buffer))\n", | |
| " }\n", | |
| " var metadata = message.metadata || {};\n", | |
| " var msg = {content, buffers, metadata}\n", | |
| " msg_handler(msg);\n", | |
| " return messages.next().then(processIteratorResult);\n", | |
| " }\n", | |
| " return messages.next().then(processIteratorResult);\n", | |
| " })\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n", | |
| " if (comm_id in window.PyViz.comms) {\n", | |
| " return window.PyViz.comms[comm_id];\n", | |
| " } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n", | |
| " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n", | |
| " var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n", | |
| " if (msg_handler) {\n", | |
| " comm.on_msg(msg_handler);\n", | |
| " }\n", | |
| " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n", | |
| " var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n", | |
| " let retries = 0;\n", | |
| " const open = () => {\n", | |
| " if (comm.active) {\n", | |
| " comm.open();\n", | |
| " } else if (retries > 3) {\n", | |
| " console.warn('Comm target never activated')\n", | |
| " } else {\n", | |
| " retries += 1\n", | |
| " setTimeout(open, 500)\n", | |
| " }\n", | |
| " }\n", | |
| " if (comm.active) {\n", | |
| " comm.open();\n", | |
| " } else {\n", | |
| " setTimeout(open, 500)\n", | |
| " }\n", | |
| " if (msg_handler) {\n", | |
| " comm.onMsg = msg_handler;\n", | |
| " }\n", | |
| " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n", | |
| " var comm_promise = google.colab.kernel.comms.open(comm_id)\n", | |
| " comm_promise.then((comm) => {\n", | |
| " window.PyViz.comms[comm_id] = comm;\n", | |
| " if (msg_handler) {\n", | |
| " var messages = comm.messages[Symbol.asyncIterator]();\n", | |
| " function processIteratorResult(result) {\n", | |
| " var message = result.value;\n", | |
| " var content = {data: message.data};\n", | |
| " var metadata = message.metadata || {comm_id};\n", | |
| " var msg = {content, metadata}\n", | |
| " msg_handler(msg);\n", | |
| " return messages.next().then(processIteratorResult);\n", | |
| " }\n", | |
| " return messages.next().then(processIteratorResult);\n", | |
| " }\n", | |
| " })\n", | |
| " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n", | |
| " return comm_promise.then((comm) => {\n", | |
| " comm.send(data, metadata, buffers, disposeOnDone);\n", | |
| " });\n", | |
| " };\n", | |
| " var comm = {\n", | |
| " send: sendClosure\n", | |
| " };\n", | |
| " }\n", | |
| " window.PyViz.comms[comm_id] = comm;\n", | |
| " return comm;\n", | |
| " }\n", | |
| " window.PyViz.comm_manager = new JupyterCommManager();\n", | |
| " \n", | |
| "\n", | |
| "\n", | |
| "var JS_MIME_TYPE = 'application/javascript';\n", | |
| "var HTML_MIME_TYPE = 'text/html';\n", | |
| "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n", | |
| "var CLASS_NAME = 'output';\n", | |
| "\n", | |
| "/**\n", | |
| " * Render data to the DOM node\n", | |
| " */\n", | |
| "function render(props, node) {\n", | |
| " var div = document.createElement(\"div\");\n", | |
| " var script = document.createElement(\"script\");\n", | |
| " node.appendChild(div);\n", | |
| " node.appendChild(script);\n", | |
| "}\n", | |
| "\n", | |
| "/**\n", | |
| " * Handle when a new output is added\n", | |
| " */\n", | |
| "function handle_add_output(event, handle) {\n", | |
| " var output_area = handle.output_area;\n", | |
| " var output = handle.output;\n", | |
| " if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n", | |
| " return\n", | |
| " }\n", | |
| " var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", | |
| " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", | |
| " if (id !== undefined) {\n", | |
| " var nchildren = toinsert.length;\n", | |
| " var html_node = toinsert[nchildren-1].children[0];\n", | |
| " html_node.innerHTML = output.data[HTML_MIME_TYPE];\n", | |
| " var scripts = [];\n", | |
| " var nodelist = html_node.querySelectorAll(\"script\");\n", | |
| " for (var i in nodelist) {\n", | |
| " if (nodelist.hasOwnProperty(i)) {\n", | |
| " scripts.push(nodelist[i])\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " scripts.forEach( function (oldScript) {\n", | |
| " var newScript = document.createElement(\"script\");\n", | |
| " var attrs = [];\n", | |
| " var nodemap = oldScript.attributes;\n", | |
| " for (var j in nodemap) {\n", | |
| " if (nodemap.hasOwnProperty(j)) {\n", | |
| " attrs.push(nodemap[j])\n", | |
| " }\n", | |
| " }\n", | |
| " attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n", | |
| " newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n", | |
| " oldScript.parentNode.replaceChild(newScript, oldScript);\n", | |
| " });\n", | |
| " if (JS_MIME_TYPE in output.data) {\n", | |
| " toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n", | |
| " }\n", | |
| " output_area._hv_plot_id = id;\n", | |
| " if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n", | |
| " window.PyViz.plot_index[id] = Bokeh.index[id];\n", | |
| " } else {\n", | |
| " window.PyViz.plot_index[id] = null;\n", | |
| " }\n", | |
| " } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", | |
| " var bk_div = document.createElement(\"div\");\n", | |
| " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", | |
| " var script_attrs = bk_div.children[0].attributes;\n", | |
| " for (var i = 0; i < script_attrs.length; i++) {\n", | |
| " toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n", | |
| " }\n", | |
| " // store reference to server id on output_area\n", | |
| " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", | |
| " }\n", | |
| "}\n", | |
| "\n", | |
| "/**\n", | |
| " * Handle when an output is cleared or removed\n", | |
| " */\n", | |
| "function handle_clear_output(event, handle) {\n", | |
| " var id = handle.cell.output_area._hv_plot_id;\n", | |
| " var server_id = handle.cell.output_area._bokeh_server_id;\n", | |
| " if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n", | |
| " var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n", | |
| " if (server_id !== null) {\n", | |
| " comm.send({event_type: 'server_delete', 'id': server_id});\n", | |
| " return;\n", | |
| " } else if (comm !== null) {\n", | |
| " comm.send({event_type: 'delete', 'id': id});\n", | |
| " }\n", | |
| " delete PyViz.plot_index[id];\n", | |
| " if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n", | |
| " var doc = window.Bokeh.index[id].model.document\n", | |
| " doc.clear();\n", | |
| " const i = window.Bokeh.documents.indexOf(doc);\n", | |
| " if (i > -1) {\n", | |
| " window.Bokeh.documents.splice(i, 1);\n", | |
| " }\n", | |
| " }\n", | |
| "}\n", | |
| "\n", | |
| "/**\n", | |
| " * Handle kernel restart event\n", | |
| " */\n", | |
| "function handle_kernel_cleanup(event, handle) {\n", | |
| " delete PyViz.comms[\"hv-extension-comm\"];\n", | |
| " window.PyViz.plot_index = {}\n", | |
| "}\n", | |
| "\n", | |
| "/**\n", | |
| " * Handle update_display_data messages\n", | |
| " */\n", | |
| "function handle_update_output(event, handle) {\n", | |
| " handle_clear_output(event, {cell: {output_area: handle.output_area}})\n", | |
| " handle_add_output(event, handle)\n", | |
| "}\n", | |
| "\n", | |
| "function register_renderer(events, OutputArea) {\n", | |
| " function append_mime(data, metadata, element) {\n", | |
| " // create a DOM node to render to\n", | |
| " var toinsert = this.create_output_subarea(\n", | |
| " metadata,\n", | |
| " CLASS_NAME,\n", | |
| " EXEC_MIME_TYPE\n", | |
| " );\n", | |
| " this.keyboard_manager.register_events(toinsert);\n", | |
| " // Render to node\n", | |
| " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", | |
| " render(props, toinsert[0]);\n", | |
| " element.append(toinsert);\n", | |
| " return toinsert\n", | |
| " }\n", | |
| "\n", | |
| " events.on('output_added.OutputArea', handle_add_output);\n", | |
| " events.on('output_updated.OutputArea', handle_update_output);\n", | |
| " events.on('clear_output.CodeCell', handle_clear_output);\n", | |
| " events.on('delete.Cell', handle_clear_output);\n", | |
| " events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n", | |
| "\n", | |
| " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", | |
| " safe: true,\n", | |
| " index: 0\n", | |
| " });\n", | |
| "}\n", | |
| "\n", | |
| "if (window.Jupyter !== undefined) {\n", | |
| " try {\n", | |
| " var events = require('base/js/events');\n", | |
| " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", | |
| " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", | |
| " register_renderer(events, OutputArea);\n", | |
| " }\n", | |
| " } catch(err) {\n", | |
| " }\n", | |
| "}\n" | |
| ], | |
| "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n let retries = 0;\n const open = () => {\n if (comm.active) {\n comm.open();\n } else if (retries > 3) {\n console.warn('Comm target never activated')\n } else {\n retries += 1\n setTimeout(open, 500)\n }\n }\n if (comm.active) {\n comm.open();\n } else {\n setTimeout(open, 500)\n }\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n })\n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" | |
| }, | |
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| "output_type": "display_data" | |
| }, | |
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| "text/html": [ | |
| "<div id='093d162a-f4b1-4943-9282-9480391477d5'>\n", | |
| " <div id=\"aa3d954f-e7a1-4b23-b582-e14853a5f22f\" data-root-id=\"093d162a-f4b1-4943-9282-9480391477d5\" style=\"display: contents;\"></div>\n", | |
| "</div>\n", | |
| "<script type=\"application/javascript\">(function(root) {\n", | |
| " var docs_json = {\"6d1b940b-a9a3-431c-90b5-176b0acc26bc\":{\"version\":\"3.8.1\",\"title\":\"Bokeh Application\",\"config\":{\"type\":\"object\",\"name\":\"DocumentConfig\",\"id\":\"c8270cd7-49bb-4233-803d-6e63f8d78067\",\"attributes\":{\"notifications\":{\"type\":\"object\",\"name\":\"Notifications\",\"id\":\"9b277972-a5af-4416-83f9-5424e69217dd\"}}},\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"093d162a-f4b1-4943-9282-9480391477d5\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"647ff158-8c0a-4afa-b793-7a7b1000d298\",\"attributes\":{\"plot_id\":\"093d162a-f4b1-4943-9282-9480391477d5\",\"comm_id\":\"7b119a526d074de693eaf9c463ebd6fe\",\"client_comm_id\":\"b087ad343cb048e8b6c9c8b43d03a231\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"start\",\"kind\":\"Any\",\"default\":0},{\"name\":\"end\",\"kind\":\"Any\",\"default\":100},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"ReactiveESM1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"JSComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"ReactComponent1\",\"properties\":[{\"name\":\"use_shadow_dom\",\"kind\":\"Any\",\"default\":true},{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"AnyWidgetComponent1\",\"properties\":[{\"name\":\"use_shadow_dom\",\"kind\":\"Any\",\"default\":true},{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"max_notifications\",\"kind\":\"Any\",\"default\":5},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas 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fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_rendered\",\"kind\":\"Any\",\"default\":false},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"request_value1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"_synced\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_request_sync\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"holoviews.plotting.bokeh.raster.HoverModel\",\"properties\":[{\"name\":\"xy\",\"kind\":\"Any\",\"default\":null},{\"name\":\"data\",\"kind\":\"Any\",\"default\":null}]}]}};\n", | |
| " var render_items = [{\"docid\":\"6d1b940b-a9a3-431c-90b5-176b0acc26bc\",\"roots\":{\"093d162a-f4b1-4943-9282-9480391477d5\":\"aa3d954f-e7a1-4b23-b582-e14853a5f22f\"},\"root_ids\":[\"093d162a-f4b1-4943-9282-9480391477d5\"]}];\n", | |
| " var docs = Object.values(docs_json)\n", | |
| " if (!docs) {\n", | |
| " return\n", | |
| " }\n", | |
| " const version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n", | |
| " async function embed_document(root) {\n", | |
| " var Bokeh = get_bokeh(root)\n", | |
| " await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", | |
| " for (const render_item of render_items) {\n", | |
| " for (const root_id of render_item.root_ids) {\n", | |
| "\tconst id_el = document.getElementById(root_id)\n", | |
| "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n", | |
| "\t const root_el = id_el.children[0]\n", | |
| "\t root_el.id = root_el.id + '-rendered'\n", | |
| "\t for (const child of root_el.children) {\n", | |
| " // Ensure JupyterLab does not capture keyboard shortcuts\n", | |
| " // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n", | |
| "\t child.setAttribute('data-lm-suppress-shortcuts', 'true')\n", | |
| "\t }\n", | |
| "\t}\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| " function get_bokeh(root) {\n", | |
| " if (root.Bokeh === undefined) {\n", | |
| " return null\n", | |
| " } else if (root.Bokeh.version !== version) {\n", | |
| " if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(version)) {\n", | |
| "\treturn null\n", | |
| " }\n", | |
| " return root.Bokeh.versions.get(version);\n", | |
| " } else if (root.Bokeh.version === version) {\n", | |
| " return root.Bokeh\n", | |
| " }\n", | |
| " return null\n", | |
| " }\n", | |
| " function is_loaded(root) {\n", | |
| " var Bokeh = get_bokeh(root)\n", | |
| " return (Bokeh != null && Bokeh.Panel !== undefined)\n", | |
| " }\n", | |
| " if (is_loaded(root)) {\n", | |
| " embed_document(root);\n", | |
| " } else {\n", | |
| " var attempts = 0;\n", | |
| " var timer = setInterval(function(root) {\n", | |
| " if (is_loaded(root)) {\n", | |
| " clearInterval(timer);\n", | |
| " embed_document(root);\n", | |
| " } else if (document.readyState == \"complete\") {\n", | |
| " attempts++;\n", | |
| " if (attempts > 200) {\n", | |
| " clearInterval(timer);\n", | |
| "\t var Bokeh = get_bokeh(root)\n", | |
| "\t if (Bokeh == null || Bokeh.Panel == null) {\n", | |
| " console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n", | |
| "\t } else {\n", | |
| "\t console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n", | |
| "\t embed_document(root)\n", | |
| "\t }\n", | |
| " }\n", | |
| " }\n", | |
| " }, 25, root)\n", | |
| " }\n", | |
| "})(window);</script>" | |
| ] | |
| }, | |
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| "application/vnd.holoviews_exec.v0+json": { | |
| "id": "093d162a-f4b1-4943-9282-9480391477d5" | |
| } | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "import hvplot.xarray" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "crs = ds_best.rio.crs" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Load a variable at a specific time step" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "CPU times: user 12.1 s, sys: 4.69 s, total: 16.8 s\n", | |
| "Wall time: 25.4 s\n" | |
| ] | |
| }, | |
| { | |
| "data": {}, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "application/vnd.holoviews_exec.v0+json": "", | |
| "text/html": [ | |
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| "</div>\n", | |
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