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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "id": "5507df52-4b93-43b4-8c82-a06536cf1c7b", | |
| "metadata": {}, | |
| "source": [ | |
| "# Extra dependencies" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "66a48eb7-71bf-4605-8cdf-42ef6e9ba8c4", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# ! pip install \"icechunk>1.0.0\"" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "965ef45e-750b-4e46-8a75-66c76e5b2d87", | |
| "metadata": {}, | |
| "source": [ | |
| "## Read the data back into xarray" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "aeec86b2-dc1c-4711-8cb7-20c29e9e42c4", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "CPU times: user 0 ns, sys: 3 μs, total: 3 μs\n", | |
| "Wall time: 5.01 μs\n" | |
| ] | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/tmp/ipykernel_804816/3665244252.py:39: FutureWarning: zarr_version is deprecated, use zarr_format\n", | |
| " ds = xr.open_zarr(session.store, consolidated=False, zarr_version=3)\n", | |
| "/opt/conda/lib/python3.11/site-packages/numcodecs/zarr3.py:145: UserWarning: Numcodecs codecs are not in the Zarr version 3 specification and may not be supported by other zarr implementations.\n", | |
| " super().__init__(**codec_config)\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", | |
| "<defs>\n", | |
| "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n", | |
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| "</symbol>\n", | |
| "</defs>\n", | |
| "</svg>\n", | |
| "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n", | |
| " *\n", | |
| " */\n", | |
| "\n", | |
| ":root {\n", | |
| " --xr-font-color0: var(\n", | |
| " --jp-content-font-color0,\n", | |
| " var(--pst-color-text-base rgba(0, 0, 0, 1))\n", | |
| " );\n", | |
| " --xr-font-color2: var(\n", | |
| " --jp-content-font-color2,\n", | |
| " var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n", | |
| " );\n", | |
| " --xr-font-color3: var(\n", | |
| " --jp-content-font-color3,\n", | |
| " var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n", | |
| " );\n", | |
| " --xr-border-color: var(\n", | |
| " --jp-border-color2,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n", | |
| " );\n", | |
| " --xr-disabled-color: var(\n", | |
| " --jp-layout-color3,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n", | |
| " );\n", | |
| " --xr-background-color: var(\n", | |
| " --jp-layout-color0,\n", | |
| " var(--pst-color-on-background, white)\n", | |
| " );\n", | |
| " --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", | |
| " );\n", | |
| " --xr-background-color-row-odd: var(\n", | |
| " --jp-layout-color2,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n", | |
| " );\n", | |
| "}\n", | |
| "\n", | |
| "html[theme=\"dark\"],\n", | |
| "html[data-theme=\"dark\"],\n", | |
| "body[data-theme=\"dark\"],\n", | |
| "body.vscode-dark {\n", | |
| " --xr-font-color0: var(\n", | |
| " --jp-content-font-color0,\n", | |
| " var(--pst-color-text-base, rgba(255, 255, 255, 1))\n", | |
| " );\n", | |
| " --xr-font-color2: var(\n", | |
| " --jp-content-font-color2,\n", | |
| " var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n", | |
| " );\n", | |
| " --xr-font-color3: var(\n", | |
| " --jp-content-font-color3,\n", | |
| " var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n", | |
| " );\n", | |
| " --xr-border-color: var(\n", | |
| " --jp-border-color2,\n", | |
| " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n", | |
| " );\n", | |
| " --xr-disabled-color: var(\n", | |
| " --jp-layout-color3,\n", | |
| " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n", | |
| " );\n", | |
| " --xr-background-color: var(\n", | |
| " --jp-layout-color0,\n", | |
| " var(--pst-color-on-background, #111111)\n", | |
| " );\n", | |
| " --xr-background-color-row-even: var(\n", | |
| " --jp-layout-color1,\n", | |
| " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n", | |
| " );\n", | |
| " --xr-background-color-row-odd: var(\n", | |
| " --jp-layout-color2,\n", | |
| " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n", | |
| " );\n", | |
| "}\n", | |
| "\n", | |
| ".xr-wrap {\n", | |
| " display: block !important;\n", | |
| " min-width: 300px;\n", | |
| " max-width: 700px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-array-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input {\n", | |
| " display: inline-block;\n", | |
| " opacity: 0;\n", | |
| " height: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| " border: 2px solid transparent !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:focus + label {\n", | |
| " border: 2px solid var(--xr-font-color0) !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in + label:before {\n", | |
| " display: inline-block;\n", | |
| " content: \"►\";\n", | |
| " font-size: 11px;\n", | |
| " width: 15px;\n", | |
| " text-align: center;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: \"▼\";\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
| ".xr-section-inline-details {\n", | |
| " padding-top: 4px;\n", | |
| " padding-bottom: 4px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-inline-details {\n", | |
| " grid-column: 2 / -1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap {\n", | |
| " grid-column: 1 / -1;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 20px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap > label {\n", | |
| " grid-column: 1;\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-data,\n", | |
| ".xr-array-in:checked ~ .xr-array-preview {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
| ".xr-array-preview {\n", | |
| " display: inline-block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list {\n", | |
| " display: inline-block !important;\n", | |
| " list-style: none;\n", | |
| " padding: 0 !important;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:before {\n", | |
| " content: \"(\";\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:after {\n", | |
| " content: \")\";\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
| " content: \",\";\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " 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: 51TB\n", | |
| "Dimensions: (time: 8399, lat: 6500, lon: 11700)\n", | |
| "Coordinates:\n", | |
| " * lon (lon) float64 94kB -169.0 -169.0 -169.0 ... -52.03 -52.01 -52.0\n", | |
| " * time (time) datetime64[ns] 67kB 2001-01-02 2001-01-03 ... 2024-01-01\n", | |
| " * lat (lat) float64 52kB 7.005 7.015 7.025 7.035 ... 71.97 71.98 71.99\n", | |
| "Data variables:\n", | |
| " LWdown (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Qair (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " PSurf (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Tair_max (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Tair (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Wind_N (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Rainf (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " SWdown (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Tair_min (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Wind_E (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| "Attributes: (12/17)\n", | |
| " missing_value: -9999.0\n", | |
| " time_definition: daily\n", | |
| " shortname: NLDAS_FOR0010_D_3.0\n", | |
| " title: NLDAS Forcing Data L4 Daily 0.01 x 0.01 degree V3...\n", | |
| " version: 3.0 beta\n", | |
| " institution: NASA GSFC\n", | |
| " ... ...\n", | |
| " websites: https://ldas.gsfc.nasa.gov/nldas/v3/ ; https://li...\n", | |
| " MAP_PROJECTION: EQUIDISTANT CYLINDRICAL\n", | |
| " SOUTH_WEST_CORNER_LAT: 7.005000114440918\n", | |
| " SOUTH_WEST_CORNER_LON: -168.9949951171875\n", | |
| " DX: 0.009999999776482582\n", | |
| " DY: 0.009999999776482582</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-feff67c1-e276-466c-993b-c989bdb3ef81' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-feff67c1-e276-466c-993b-c989bdb3ef81' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 8399</li><li><span class='xr-has-index'>lat</span>: 6500</li><li><span class='xr-has-index'>lon</span>: 11700</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-08619112-14fa-4eae-b855-b0c6afd479dd' class='xr-section-summary-in' type='checkbox' checked><label for='section-08619112-14fa-4eae-b855-b0c6afd479dd' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-169.0 -169.0 ... -52.01 -52.0</div><input id='attrs-7d30d8c3-9570-41e3-a043-9130f134d3de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d30d8c3-9570-41e3-a043-9130f134d3de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51276670-81e2-42e2-983b-408c9e8f3206' class='xr-var-data-in' type='checkbox'><label for='data-51276670-81e2-42e2-983b-408c9e8f3206' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>vmin :</span></dt><dd>-168.9949951171875</dd><dt><span>vmax :</span></dt><dd>-52.00499725341797</dd></dl></div><div class='xr-var-data'><pre>array([-168.994995, -168.985001, -168.974991, ..., -52.025002, -52.014999,\n", | |
| " -52.004997], shape=(11700,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-01-02 ... 2024-01-01</div><input id='attrs-7ef91e03-8e96-433f-bf43-0a150595bd0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ef91e03-8e96-433f-bf43-0a150595bd0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4778269c-2cdc-404a-8131-cdeab8b7b0b8' class='xr-var-data-in' type='checkbox'><label for='data-4778269c-2cdc-404a-8131-cdeab8b7b0b8' 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>time</dd><dt><span>time_increment :</span></dt><dd>one day</dd><dt><span>begin_date :</span></dt><dd>20010101</dd><dt><span>begin_time :</span></dt><dd>000000</dd><dt><span>end_date :</span></dt><dd>20010101</dd><dt><span>end_time :</span></dt><dd>235959</dd></dl></div><div class='xr-var-data'><pre>array(['2001-01-02T00:00:00.000000000', '2001-01-03T00:00:00.000000000',\n", | |
| " '2001-01-04T00:00:00.000000000', ..., '2023-12-30T00:00:00.000000000',\n", | |
| " '2023-12-31T00:00:00.000000000', '2024-01-01T00:00:00.000000000'],\n", | |
| " shape=(8399,), dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.005 7.015 7.025 ... 71.98 71.99</div><input id='attrs-32c6c941-7be9-4ff6-8724-80b821997fe0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32c6c941-7be9-4ff6-8724-80b821997fe0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-804a1d1b-9944-46cd-8a43-38e2f2765b80' class='xr-var-data-in' type='checkbox'><label for='data-804a1d1b-9944-46cd-8a43-38e2f2765b80' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>vmin :</span></dt><dd>7.005000114440918</dd><dt><span>vmax :</span></dt><dd>71.9949951171875</dd></dl></div><div class='xr-var-data'><pre>array([ 7.005 , 7.015 , 7.025 , ..., 71.974998, 71.984993, 71.994995],\n", | |
| " shape=(6500,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76648c51-9892-478a-b48e-72cb2e138ba9' class='xr-section-summary-in' type='checkbox' checked><label for='section-76648c51-9892-478a-b48e-72cb2e138ba9' class='xr-section-summary' >Data variables: <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>LWdown</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 500, 900), meta=np.ndarray></div><input id='attrs-af5c5264-15c3-4269-a24b-e8a6474f7479' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af5c5264-15c3-4269-a24b-e8a6474f7479' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-388e8ea4-e2ab-4c20-b5f9-8d0dfa949a2b' class='xr-var-data-in' type='checkbox'><label for='data-388e8ea4-e2ab-4c20-b5f9-8d0dfa949a2b' 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>W m-2</dd><dt><span>standard_name :</span></dt><dd>Surface incident longwave radiation</dd><dt><span>long_name :</span></dt><dd>Longwave radiation flux downwards (surface)</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>vmin :</span></dt><dd>126.3478012084961</dd><dt><span>vmax :</span></dt><dd>450.3310546875</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> 4.65 TiB </td>\n", | |
| " <td> 3.43 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (8399, 6500, 11700) </td>\n", | |
| " <td> (1, 500, 900) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 1419431 chunks in 2 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float64 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>Qair</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 500, 900), meta=np.ndarray></div><input id='attrs-b02f36a6-b400-4578-aea8-58a54b953804' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b02f36a6-b400-4578-aea8-58a54b953804' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dcf86de-aaf8-4128-b91a-4cf0d26163ca' class='xr-var-data-in' type='checkbox'><label for='data-4dcf86de-aaf8-4128-b91a-4cf0d26163ca' 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>kg kg-1</dd><dt><span>standard_name :</span></dt><dd>Near surface specific humidity</dd><dt><span>long_name :</span></dt><dd>2-meter above ground Specific humidity</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>vmin :</span></dt><dd>5.8038440329255536e-05</dd><dt><span>vmax :</span></dt><dd>0.021006619557738304</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> 4.65 TiB </td>\n", | |
| " <td> 3.43 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (8399, 6500, 11700) </td>\n", | |
| " <td> (1, 500, 900) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 1419431 chunks in 2 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
| " </tr>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSurf</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 500, 900), meta=np.ndarray></div><input id='attrs-6d666f59-8f32-4a2a-acc2-6c2823419914' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d666f59-8f32-4a2a-acc2-6c2823419914' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1d31fe7-684e-46c9-a27e-67158cbc45a4' class='xr-var-data-in' type='checkbox'><label for='data-c1d31fe7-684e-46c9-a27e-67158cbc45a4' 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>Pa</dd><dt><span>standard_name :</span></dt><dd>Surface pressure</dd><dt><span>long_name :</span></dt><dd>Surface pressure</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>vmin :</span></dt><dd>46024.41796875</dd><dt><span>vmax :</span></dt><dd>103161.1796875</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> 4.65 TiB </td>\n", | |
| " <td> 3.43 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (8399, 6500, 11700) </td>\n", | |
| " <td> (1, 500, 900) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 1419431 chunks in 2 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tair_max</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 500, 900), meta=np.ndarray></div><input id='attrs-e44a11cd-75d3-465a-bfa3-a9a2089a24a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e44a11cd-75d3-465a-bfa3-a9a2089a24a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c179938-9c6f-40b3-a5e8-73d9dc361386' class='xr-var-data-in' type='checkbox'><label for='data-6c179938-9c6f-40b3-a5e8-73d9dc361386' 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>K</dd><dt><span>standard_name :</span></dt><dd>Daily maximum near surface air temperature</dd><dt><span>long_name :</span></dt><dd>Daily maximum 2-meter above ground Temperature</dd><dt><span>cell_methods :</span></dt><dd>time: maximum</dd><dt><span>vmin :</span></dt><dd>230.1659393310547</dd><dt><span>vmax :</span></dt><dd>312.7441711425781</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> 4.65 TiB </td>\n", | |
| " <td> 3.43 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (8399, 6500, 11700) </td>\n", | |
| " <td> (1, 500, 900) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 1419431 chunks in 2 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
| " </tr>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tair</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 500, 900), meta=np.ndarray></div><input id='attrs-f69b7501-76fc-4b85-8ed9-de188040035e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f69b7501-76fc-4b85-8ed9-de188040035e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe1776a0-30ae-41f7-8054-8127ed2c5d07' class='xr-var-data-in' type='checkbox'><label for='data-fe1776a0-30ae-41f7-8054-8127ed2c5d07' 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>K</dd><dt><span>standard_name :</span></dt><dd>Near surface air temperature</dd><dt><span>long_name :</span></dt><dd>2-meter above ground Temperature</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>vmin :</span></dt><dd>228.31163024902344</dd><dt><span>vmax :</span></dt><dd>304.30316162109375</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> 4.65 TiB </td>\n", | |
| " <td> 3.43 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (8399, 6500, 11700) </td>\n", | |
| " <td> (1, 500, 900) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 1419431 chunks in 2 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wind_N</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 500, 900), meta=np.ndarray></div><input id='attrs-0ad4a163-a846-4dd9-a0cc-29cdd830a3df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ad4a163-a846-4dd9-a0cc-29cdd830a3df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45f76b46-31e1-4dbd-b675-72d9d78fe9ce' class='xr-var-data-in' type='checkbox'><label for='data-45f76b46-31e1-4dbd-b675-72d9d78fe9ce' 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 s-1</dd><dt><span>standard_name :</span></dt><dd>Near surface northward wind component</dd><dt><span>long_name :</span></dt><dd>10-meter above ground Meridional wind speed</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>vmin :</span></dt><dd>-10.617785453796387</dd><dt><span>vmax :</span></dt><dd>11.41434097290039</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> 4.65 TiB </td>\n", | |
| " <td> 3.43 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (8399, 6500, 11700) </td>\n", | |
| " <td> (1, 500, 900) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 1419431 chunks in 2 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rainf</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 500, 900), meta=np.ndarray></div><input id='attrs-3984e1b5-5510-4129-a77d-4dc30716c502' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3984e1b5-5510-4129-a77d-4dc30716c502' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06adf17f-aeef-4929-8e1e-21f644dc8ca7' class='xr-var-data-in' type='checkbox'><label for='data-06adf17f-aeef-4929-8e1e-21f644dc8ca7' 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>kg m-2</dd><dt><span>standard_name :</span></dt><dd>Total precipitation</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd><dt><span>cell_methods :</span></dt><dd>time: sum</dd><dt><span>vmin :</span></dt><dd>0.0</dd><dt><span>vmax :</span></dt><dd>60.617774963378906</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> 4.65 TiB </td>\n", | |
| " <td> 3.43 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (8399, 6500, 11700) </td>\n", | |
| " <td> (1, 500, 900) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 1419431 chunks in 2 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWdown</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 500, 900), meta=np.ndarray></div><input id='attrs-9d375580-e7c2-464d-9b21-ffcb35c93bfd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d375580-e7c2-464d-9b21-ffcb35c93bfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-379157cb-b846-4e7b-9716-14eabb6b5d55' class='xr-var-data-in' type='checkbox'><label for='data-379157cb-b846-4e7b-9716-14eabb6b5d55' 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>W m-2</dd><dt><span>standard_name :</span></dt><dd>Surface incident shortwave radiation</dd><dt><span>long_name :</span></dt><dd>Shortwave radiation flux downwards (surface)</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>vmin :</span></dt><dd>0.0</dd><dt><span>vmax :</span></dt><dd>288.2958068847656</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> 4.65 TiB </td>\n", | |
| " <td> 3.43 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (8399, 6500, 11700) </td>\n", | |
| " <td> (1, 500, 900) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 1419431 chunks in 2 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tair_min</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 500, 900), meta=np.ndarray></div><input id='attrs-bfc387eb-66f1-400c-af11-18cad07e834b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfc387eb-66f1-400c-af11-18cad07e834b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77c895b0-fd73-420d-bff4-e4d061eb5a4b' class='xr-var-data-in' type='checkbox'><label for='data-77c895b0-fd73-420d-bff4-e4d061eb5a4b' 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>K</dd><dt><span>standard_name :</span></dt><dd>Daily minimum near surface air temperature</dd><dt><span>long_name :</span></dt><dd>Daily minimum 2-meter above ground Temperature</dd><dt><span>cell_methods :</span></dt><dd>time: minimum</dd><dt><span>vmin :</span></dt><dd>227.1617889404297</dd><dt><span>vmax :</span></dt><dd>300.4527282714844</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> 4.65 TiB </td>\n", | |
| " <td> 3.43 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (8399, 6500, 11700) </td>\n", | |
| " <td> (1, 500, 900) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 1419431 chunks in 2 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
| " </tr>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wind_E</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 500, 900), meta=np.ndarray></div><input id='attrs-36416ec1-dcc3-49b1-8dc0-5ac466efaf4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36416ec1-dcc3-49b1-8dc0-5ac466efaf4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24c41d46-3aa9-41e4-974b-eb28dd6574ac' class='xr-var-data-in' type='checkbox'><label for='data-24c41d46-3aa9-41e4-974b-eb28dd6574ac' 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 s-1</dd><dt><span>standard_name :</span></dt><dd>Near surface eastward wind component</dd><dt><span>long_name :</span></dt><dd>10-meter above ground Zonal wind speed</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>vmin :</span></dt><dd>-12.775843620300293</dd><dt><span>vmax :</span></dt><dd>11.65600872039795</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> 4.65 TiB </td>\n", | |
| " <td> 3.43 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (8399, 6500, 11700) </td>\n", | |
| " <td> (1, 500, 900) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 1419431 chunks in 2 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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| "\n", | |
| " <!-- Horizontal lines -->\n", | |
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| " <!-- Vertical lines -->\n", | |
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| " <!-- Horizontal lines -->\n", | |
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| "\n", | |
| " <!-- Vertical lines -->\n", | |
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| " <line x1=\"180\" y1=\"50\" x2=\"180\" y2=\"117\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"60.672699849170435,50.672699849170435 180.67269984917044,50.672699849170435 180.67269984917044,117.3393665158371 60.672699849170435,117.3393665158371\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"120.672700\" y=\"137.339367\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >11700</text>\n", | |
| " <text x=\"200.672700\" y=\"84.006033\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,200.672700,84.006033)\">6500</text>\n", | |
| " <text x=\"25.336350\" y=\"112.003017\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,25.336350,112.003017)\">8399</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-183ee036-5866-4f89-8f29-2afae8ba0d2c' class='xr-section-summary-in' type='checkbox' ><label for='section-183ee036-5866-4f89-8f29-2afae8ba0d2c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-aa98fa35-e88d-45ac-bf1f-22111d190347' class='xr-index-data-in' type='checkbox'/><label for='index-aa98fa35-e88d-45ac-bf1f-22111d190347' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -168.9949951171875, -168.98500061035156, -168.97499084472656,\n", | |
| " -168.96499633789062, -168.9550018310547, -168.9449920654297,\n", | |
| " -168.93499755859375, -168.92498779296875, -168.9149932861328,\n", | |
| " -168.90499877929688,\n", | |
| " ...\n", | |
| " -52.095001220703125, -52.084999084472656, -52.07499694824219,\n", | |
| " -52.06499481201172, -52.05500030517578, -52.04499816894531,\n", | |
| " -52.034996032714844, -52.025001525878906, -52.01499938964844,\n", | |
| " -52.00499725341797],\n", | |
| " dtype='float64', name='lon', length=11700))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c51af2e3-fd7f-4f26-826f-ffb91e2ebbef' class='xr-index-data-in' type='checkbox'/><label for='index-c51af2e3-fd7f-4f26-826f-ffb91e2ebbef' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['2001-01-02', '2001-01-03', '2001-01-04', '2001-01-05',\n", | |
| " '2001-01-06', '2001-01-07', '2001-01-08', '2001-01-09',\n", | |
| " '2001-01-10', '2001-01-11',\n", | |
| " ...\n", | |
| " '2023-12-23', '2023-12-24', '2023-12-25', '2023-12-26',\n", | |
| " '2023-12-27', '2023-12-28', '2023-12-29', '2023-12-30',\n", | |
| " '2023-12-31', '2024-01-01'],\n", | |
| " dtype='datetime64[ns]', name='time', length=8399, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9f48d9db-dc93-44a9-869b-9d79c978ad51' class='xr-index-data-in' type='checkbox'/><label for='index-9f48d9db-dc93-44a9-869b-9d79c978ad51' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([7.005000114440918, 7.015000343322754, 7.025000095367432,\n", | |
| " 7.035000324249268, 7.045000076293945, 7.055000305175781,\n", | |
| " 7.065000057220459, 7.075000286102295, 7.085000038146973,\n", | |
| " 7.095000267028809,\n", | |
| " ...\n", | |
| " 71.90499877929688, 71.91499328613281, 71.92499542236328,\n", | |
| " 71.93499755859375, 71.94499206542969, 71.95499420166016,\n", | |
| " 71.96499633789062, 71.9749984741211, 71.98499298095703,\n", | |
| " 71.9949951171875],\n", | |
| " dtype='float64', name='lat', length=6500))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ffd6a36f-b13f-4bf6-aebc-8573d9119a5f' class='xr-section-summary-in' type='checkbox' ><label for='section-ffd6a36f-b13f-4bf6-aebc-8573d9119a5f' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>time_definition :</span></dt><dd>daily</dd><dt><span>shortname :</span></dt><dd>NLDAS_FOR0010_D_3.0</dd><dt><span>title :</span></dt><dd>NLDAS Forcing Data L4 Daily 0.01 x 0.01 degree V3.0 - *BETA*</dd><dt><span>version :</span></dt><dd>3.0 beta</dd><dt><span>institution :</span></dt><dd>NASA GSFC</dd><dt><span>doi :</span></dt><dd>TBD</dd><dt><span>history :</span></dt><dd>created on date: 2025-06-07T15:04:40</dd><dt><span>reference :</span></dt><dd>Maina-et-al_to-be-submitted; doi:TBD</dd><dt><span>conventions :</span></dt><dd>CF-1.6</dd><dt><span>standard :</span></dt><dd>ALMA v3 ; https://www.lmd.jussieu.fr/~polcher/ALMA/</dd><dt><span>websites :</span></dt><dd>https://ldas.gsfc.nasa.gov/nldas/v3/ ; https://lis.gsfc.nasa.gov/</dd><dt><span>MAP_PROJECTION :</span></dt><dd>EQUIDISTANT CYLINDRICAL</dd><dt><span>SOUTH_WEST_CORNER_LAT :</span></dt><dd>7.005000114440918</dd><dt><span>SOUTH_WEST_CORNER_LON :</span></dt><dd>-168.9949951171875</dd><dt><span>DX :</span></dt><dd>0.009999999776482582</dd><dt><span>DY :</span></dt><dd>0.009999999776482582</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset> Size: 51TB\n", | |
| "Dimensions: (time: 8399, lat: 6500, lon: 11700)\n", | |
| "Coordinates:\n", | |
| " * lon (lon) float64 94kB -169.0 -169.0 -169.0 ... -52.03 -52.01 -52.0\n", | |
| " * time (time) datetime64[ns] 67kB 2001-01-02 2001-01-03 ... 2024-01-01\n", | |
| " * lat (lat) float64 52kB 7.005 7.015 7.025 7.035 ... 71.97 71.98 71.99\n", | |
| "Data variables:\n", | |
| " LWdown (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Qair (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " PSurf (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Tair_max (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Tair (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Wind_N (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Rainf (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " SWdown (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Tair_min (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| " Wind_E (time, lat, lon) float64 5TB dask.array<chunksize=(1, 500, 900), meta=np.ndarray>\n", | |
| "Attributes: (12/17)\n", | |
| " missing_value: -9999.0\n", | |
| " time_definition: daily\n", | |
| " shortname: NLDAS_FOR0010_D_3.0\n", | |
| " title: NLDAS Forcing Data L4 Daily 0.01 x 0.01 degree V3...\n", | |
| " version: 3.0 beta\n", | |
| " institution: NASA GSFC\n", | |
| " ... ...\n", | |
| " websites: https://ldas.gsfc.nasa.gov/nldas/v3/ ; https://li...\n", | |
| " MAP_PROJECTION: EQUIDISTANT CYLINDRICAL\n", | |
| " SOUTH_WEST_CORNER_LAT: 7.005000114440918\n", | |
| " SOUTH_WEST_CORNER_LON: -168.9949951171875\n", | |
| " DX: 0.009999999776482582\n", | |
| " DY: 0.009999999776482582" | |
| ] | |
| }, | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "%time\n", | |
| "\n", | |
| "# self contained read that works on the hub (make sure to run the pip install before)\n", | |
| "\n", | |
| "import icechunk\n", | |
| "import xarray as xr\n", | |
| "import zarr\n", | |
| "\n", | |
| "storage = icechunk.s3_storage(\n", | |
| " bucket='nasa-veda-scratch',\n", | |
| " prefix=f\"jbusecke/nasa-waterinsight-test-full/\",\n", | |
| " anonymous=False,\n", | |
| " from_env=True,\n", | |
| ")\n", | |
| "\n", | |
| "config = icechunk.RepositoryConfig.default()\n", | |
| "config.set_virtual_chunk_container(\n", | |
| " icechunk.VirtualChunkContainer(\n", | |
| " \"s3://nasa-waterinsight/NLDAS3/forcing/daily/\",\n", | |
| " icechunk.s3_store(region='us-west-2')\n", | |
| " )\n", | |
| ")\n", | |
| "\n", | |
| "virtual_credentials = icechunk.containers_credentials(\n", | |
| " {\n", | |
| " \"s3://nasa-waterinsight/NLDAS3/forcing/daily/202201/\": icechunk.s3_anonymous_credentials()\n", | |
| " }\n", | |
| ")\n", | |
| " \n", | |
| "repo = icechunk.Repository.open(\n", | |
| " storage=storage,\n", | |
| " config=config,\n", | |
| " authorize_virtual_chunk_access=virtual_credentials,\n", | |
| ")\n", | |
| "\n", | |
| "session = repo.readonly_session('main')\n", | |
| "ds = xr.open_zarr(session.store, consolidated=False, zarr_version=3)\n", | |
| "ds" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "9edad4f5-9482-430d-af49-727c4e7d64b3", | |
| "metadata": {}, | |
| "source": [ | |
| "## Testing a timeseries at a single location" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 22, | |
| "id": "380a8d62-5640-4b0c-8c57-330e6b505ecb", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "[########################################] | 100% Completed | 145.31 s\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "from dask.diagnostics import ProgressBar\n", | |
| "with ProgressBar():\n", | |
| " timeseries = ds.sel(lon=-74.00, lat=40.71, method='nearest').load() # load timeseries close to NYC into memory" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3 (ipykernel)", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.11.10" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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