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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import xarray as xr\n", | |
| "import pathlib\n", | |
| "import dask\n", | |
| "import zarr\n", | |
| "from distributed import Client" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| " <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n", | |
| " <div style=\"margin-left: 48px;\">\n", | |
| " <h3 style=\"margin-bottom: 0px;\">Client</h3>\n", | |
| " <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-bc7500fa-fdb3-11ee-9131-3cecef1b11de</p>\n", | |
| " <table style=\"width: 100%; text-align: left;\">\n", | |
| "\n", | |
| " <tr>\n", | |
| " \n", | |
| " <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n", | |
| " <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n", | |
| " \n", | |
| " </tr>\n", | |
| "\n", | |
| " \n", | |
| " <tr>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Dashboard: </strong> <a href=\"https://jupyterhub.hpc.ucar.edu/stable/user/abanihi/batch/proxy/8787/status\" target=\"_blank\">https://jupyterhub.hpc.ucar.edu/stable/user/abanihi/batch/proxy/8787/status</a>\n", | |
| " </td>\n", | |
| " <td style=\"text-align: left;\"></td>\n", | |
| " </tr>\n", | |
| " \n", | |
| "\n", | |
| " </table>\n", | |
| "\n", | |
| " \n", | |
| " <details>\n", | |
| " <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n", | |
| " <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n", | |
| " <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n", | |
| " </div>\n", | |
| " <div style=\"margin-left: 48px;\">\n", | |
| " <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n", | |
| " <p style=\"color: #9D9D9D; margin-bottom: 0px;\">625f4bce</p>\n", | |
| " <table style=\"width: 100%; text-align: left;\">\n", | |
| " <tr>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Dashboard:</strong> <a href=\"https://jupyterhub.hpc.ucar.edu/stable/user/abanihi/batch/proxy/8787/status\" target=\"_blank\">https://jupyterhub.hpc.ucar.edu/stable/user/abanihi/batch/proxy/8787/status</a>\n", | |
| " </td>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Workers:</strong> 1\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Total threads:</strong> 8\n", | |
| " </td>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Total memory:</strong> 50.00 GiB\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n", | |
| " <td style=\"text-align: left;\"><strong>Using processes:</strong> False</td>\n", | |
| "</tr>\n", | |
| "\n", | |
| " \n", | |
| " </table>\n", | |
| "\n", | |
| " <details>\n", | |
| " <summary style=\"margin-bottom: 20px;\">\n", | |
| " <h3 style=\"display: inline;\">Scheduler Info</h3>\n", | |
| " </summary>\n", | |
| "\n", | |
| " <div style=\"\">\n", | |
| " <div>\n", | |
| " <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n", | |
| " <div style=\"margin-left: 48px;\">\n", | |
| " <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n", | |
| " <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-0e6cec62-70a8-4dce-b923-516b443e8738</p>\n", | |
| " <table style=\"width: 100%; text-align: left;\">\n", | |
| " <tr>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Comm:</strong> inproc://128.117.208.100/69937/1\n", | |
| " </td>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Workers:</strong> 1\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Dashboard:</strong> <a href=\"https://jupyterhub.hpc.ucar.edu/stable/user/abanihi/batch/proxy/8787/status\" target=\"_blank\">https://jupyterhub.hpc.ucar.edu/stable/user/abanihi/batch/proxy/8787/status</a>\n", | |
| " </td>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Total threads:</strong> 8\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Started:</strong> Just now\n", | |
| " </td>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Total memory:</strong> 50.00 GiB\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "\n", | |
| " <details style=\"margin-left: 48px;\">\n", | |
| " <summary style=\"margin-bottom: 20px;\">\n", | |
| " <h3 style=\"display: inline;\">Workers</h3>\n", | |
| " </summary>\n", | |
| "\n", | |
| " \n", | |
| " <div style=\"margin-bottom: 20px;\">\n", | |
| " <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n", | |
| " <div style=\"margin-left: 48px;\">\n", | |
| " <details>\n", | |
| " <summary>\n", | |
| " <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n", | |
| " </summary>\n", | |
| " <table style=\"width: 100%; text-align: left;\">\n", | |
| " <tr>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Comm: </strong> inproc://128.117.208.100/69937/3\n", | |
| " </td>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Total threads: </strong> 8\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Dashboard: </strong> <a href=\"https://jupyterhub.hpc.ucar.edu/stable/user/abanihi/batch/proxy/44105/status\" target=\"_blank\">https://jupyterhub.hpc.ucar.edu/stable/user/abanihi/batch/proxy/44105/status</a>\n", | |
| " </td>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Memory: </strong> 50.00 GiB\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <td style=\"text-align: left;\">\n", | |
| " <strong>Nanny: </strong> None\n", | |
| " </td>\n", | |
| " <td style=\"text-align: left;\"></td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <td colspan=\"2\" style=\"text-align: left;\">\n", | |
| " <strong>Local directory: </strong> /glade/work/abanihi/dask-worker-space/worker-fhkwm3eq\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "\n", | |
| " \n", | |
| "\n", | |
| " \n", | |
| "\n", | |
| " </table>\n", | |
| " </details>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " \n", | |
| "\n", | |
| " </details>\n", | |
| "</div>\n", | |
| "\n", | |
| " </details>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| " </details>\n", | |
| " \n", | |
| "\n", | |
| " </div>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| "<Client: 'inproc://128.117.208.100/69937/1' processes=1 threads=8, memory=50.00 GiB>" | |
| ] | |
| }, | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/glade/work/abanihi/opt/miniconda/envs/dev/lib/python3.9/site-packages/dask/array/numpy_compat.py:39: RuntimeWarning: invalid value encountered in divide\n", | |
| " x = np.divide(x1, x2, out)\n", | |
| "distributed.utils_perf - WARNING - full garbage collections took 23% CPU time recently (threshold: 10%)\n", | |
| "distributed.utils_perf - WARNING - full garbage collections took 24% CPU time recently (threshold: 10%)\n", | |
| "distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n", | |
| "distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n", | |
| "/glade/work/abanihi/opt/miniconda/envs/dev/lib/python3.9/site-packages/dask/array/numpy_compat.py:39: RuntimeWarning: invalid value encountered in divide\n", | |
| " x = np.divide(x1, x2, out)\n", | |
| "distributed.utils_perf - WARNING - full garbage collections took 22% CPU time recently (threshold: 10%)\n", | |
| "distributed.utils_perf - WARNING - full garbage collections took 20% CPU time recently (threshold: 10%)\n", | |
| "distributed.utils_perf - WARNING - full garbage collections took 18% CPU time recently (threshold: 10%)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "client = Client(processes=False)\n", | |
| "client" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "PosixPath('/glade/derecho/scratch/mclong/fgco2-files')" | |
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| "execution_count": 5, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "directory = pathlib.Path(\"/glade/derecho/scratch/mclong/fgco2-files\")\n", | |
| "directory" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "dirs = sorted(list(directory.iterdir()))\n", | |
| "files = dirs[-366:]" | |
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| "execution_count": 7, | |
| "metadata": {}, | |
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| ":root {\n", | |
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| "\n", | |
| "html[theme=dark],\n", | |
| "body[data-theme=dark],\n", | |
| "body.vscode-dark {\n", | |
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| " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", | |
| " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", | |
| " --xr-border-color: #1F1F1F;\n", | |
| " --xr-disabled-color: #515151;\n", | |
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| ".xr-text-repr-fallback {\n", | |
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| ".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", | |
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| ".xr-sections {\n", | |
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| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
| " content: ',';\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name {\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dims {\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
| " text-align: right;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-preview {\n", | |
| " grid-column: 4;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-index-preview {\n", | |
| " grid-column: 2 / 5;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name,\n", | |
| ".xr-var-dims,\n", | |
| ".xr-var-dtype,\n", | |
| ".xr-preview,\n", | |
| ".xr-attrs dt {\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-data {\n", | |
| " display: none;\n", | |
| " background-color: var(--xr-background-color) !important;\n", | |
| " padding-bottom: 5px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data,\n", | |
| ".xr-index-data-in:checked ~ .xr-index-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-name div,\n", | |
| ".xr-index-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2,\n", | |
| ".xr-no-icon {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (time: 366, nlat: 1800, nlon: 3600)\n", | |
| "Coordinates:\n", | |
| " * time (time) object 2021-01-01 00:00:00 ... 2022-01-01 00:00:00\n", | |
| "Dimensions without coordinates: nlat, nlon\n", | |
| "Data variables:\n", | |
| " FG_CO2_2 (time, nlat, nlon) float64 dask.array<chunksize=(1, 225, 450), meta=np.ndarray></pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-920d0b3c-ea5a-4c1b-809f-b164608e5a80' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-920d0b3c-ea5a-4c1b-809f-b164608e5a80' 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>: 366</li><li><span>nlat</span>: 1800</li><li><span>nlon</span>: 3600</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d45c107b-7fff-450f-8032-ca9272f7391b' class='xr-section-summary-in' type='checkbox' checked><label for='section-d45c107b-7fff-450f-8032-ca9272f7391b' class='xr-section-summary' >Coordinates: <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-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2021-01-01 00:00:00 ... 2022-01-...</div><input id='attrs-41df8e1e-7344-4480-9f79-6b6f055e5592' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41df8e1e-7344-4480-9f79-6b6f055e5592' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91569032-f173-4af3-b5cc-2425597484b6' class='xr-var-data-in' type='checkbox'><label for='data-91569032-f173-4af3-b5cc-2425597484b6' 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>bounds :</span></dt><dd>time_bound</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2021, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2021, 1, 2, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2021, 1, 3, 0, 0, 0, 0, has_year_zero=True), ...,\n", | |
| " cftime.DatetimeNoLeap(2021, 12, 30, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2021, 12, 31, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2022, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n", | |
| " dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-336e0140-6bd1-4b16-ac92-5e462d87293f' class='xr-section-summary-in' type='checkbox' checked><label for='section-336e0140-6bd1-4b16-ac92-5e462d87293f' class='xr-section-summary' >Data variables: <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-var-name'><span>FG_CO2_2</span></div><div class='xr-var-dims'>(time, nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 225, 450), meta=np.ndarray></div><input id='attrs-e900f411-1d12-4240-a06d-78e705d47cf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e900f411-1d12-4240-a06d-78e705d47cf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6ae8cd0-e33a-4b9e-b6a9-e480a18ec2c6' class='xr-var-data-in' type='checkbox'><label for='data-d6ae8cd0-e33a-4b9e-b6a9-e480a18ec2c6' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>long_name :</span></dt><dd>DIC Surface Gas Flux</dd><dt><span>units :</span></dt><dd>mol m$^{-2}$ yr$^{-1}$</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\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> 17.67 GiB </td>\n", | |
| " <td> 791.02 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (366, 1800, 3600) </td>\n", | |
| " <td> (1, 225, 450) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 47214 Tasks </td>\n", | |
| " <td> 23424 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"202\" height=\"132\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
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| "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-1ecb4277-65b7-4c7a-8796-6ccfde77850f' class='xr-section-summary-in' type='checkbox' ><label for='section-1ecb4277-65b7-4c7a-8796-6ccfde77850f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2d977645-7c73-4504-944a-814acd237cdb' class='xr-index-data-in' type='checkbox'/><label for='index-2d977645-7c73-4504-944a-814acd237cdb' 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(CFTimeIndex([2021-01-01 00:00:00, 2021-01-02 00:00:00, 2021-01-03 00:00:00,\n", | |
| " 2021-01-04 00:00:00, 2021-01-05 00:00:00, 2021-01-06 00:00:00,\n", | |
| " 2021-01-07 00:00:00, 2021-01-08 00:00:00, 2021-01-09 00:00:00,\n", | |
| " 2021-01-10 00:00:00,\n", | |
| " ...\n", | |
| " 2021-12-23 00:00:00, 2021-12-24 00:00:00, 2021-12-25 00:00:00,\n", | |
| " 2021-12-26 00:00:00, 2021-12-27 00:00:00, 2021-12-28 00:00:00,\n", | |
| " 2021-12-29 00:00:00, 2021-12-30 00:00:00, 2021-12-31 00:00:00,\n", | |
| " 2022-01-01 00:00:00],\n", | |
| " dtype='object', length=366, calendar='noleap', freq='D'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3fdbd3f6-0de7-46d9-8e1a-694e24a73338' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3fdbd3f6-0de7-46d9-8e1a-694e24a73338' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (time: 366, nlat: 1800, nlon: 3600)\n", | |
| "Coordinates:\n", | |
| " * time (time) object 2021-01-01 00:00:00 ... 2022-01-01 00:00:00\n", | |
| "Dimensions without coordinates: nlat, nlon\n", | |
| "Data variables:\n", | |
| " FG_CO2_2 (time, nlat, nlon) float64 dask.array<chunksize=(1, 225, 450), meta=np.ndarray>" | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "ds = xr.open_mfdataset(files, engine='zarr')\n", | |
| "ds" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "compressor = zarr.Zlib(level=5)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "{'compressor': Zlib(level=5),\n", | |
| " 'filters': None,\n", | |
| " '_FillValue': nan,\n", | |
| " 'dtype': dtype('float32')}" | |
| ] | |
| }, | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "def coarsen(ds, dim):\n", | |
| " dset = ds.coarsen(dim).mean().chunk({'time': 30, 'nlat': -1, 'nlon': -1})\n", | |
| " dset = dask.optimize(dset)[0]\n", | |
| " for variable in dset.variables:\n", | |
| " if 'chunks' in dset[variable].encoding:\n", | |
| " del dset[variable].encoding['chunks']\n", | |
| " if 'preferred_chunks' in dset[variable].encoding:\n", | |
| " del dset[variable].encoding['preferred_chunks']\n", | |
| " dset[variable].encoding['compressor'] = compressor\n", | |
| " if variable == 'FG_CO2_2':\n", | |
| " encoding = dset[variable].encoding\n", | |
| " dset[variable] = dset[variable].astype('float32')\n", | |
| " dset[variable].encoding = encoding\n", | |
| " dset[variable].encoding['dtype'] = dset[variable].dtype\n", | |
| "\n", | |
| " return dset\n", | |
| "\n", | |
| "x = coarsen(ds, {'nlat': 5, 'nlon': 5})\n", | |
| "x.FG_CO2_2.encoding" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "CPU times: user 1min 53s, sys: 12.8 s, total: 2min 6s\n", | |
| "Wall time: 1min 13s\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<xarray.backends.zarr.ZarrStore at 0x150d8640b660>" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "%%time \n", | |
| "\n", | |
| "coarsen(ds, {'nlat': 5, 'nlon': 5}).to_zarr(\"/glade/derecho/scratch/abanihi/fgco2-2021-360x720.zarr\", \n", | |
| " consolidated=True, mode='w')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "CPU times: user 1min 55s, sys: 11.8 s, total: 2min 7s\n", | |
| "Wall time: 1min 28s\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<xarray.backends.zarr.ZarrStore at 0x150d79d750b0>" | |
| ] | |
| }, | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "%%time \n", | |
| "\n", | |
| "coarsen(ds, {'nlat': 10, 'nlon': 10}).to_zarr(\"/glade/derecho/scratch/abanihi/fgco2-2021-180x360.zarr\", \n", | |
| " consolidated=True, mode='w')" | |
| ] | |
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| "execution_count": 12, | |
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| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (time: 366, nlat: 180, nlon: 360)\n", | |
| "Coordinates:\n", | |
| " * time (time) object 2021-01-01 00:00:00 ... 2022-01-01 00:00:00\n", | |
| "Dimensions without coordinates: nlat, nlon\n", | |
| "Data variables:\n", | |
| " FG_CO2_2 (time, nlat, nlon) float32 dask.array<chunksize=(30, 180, 360), meta=np.ndarray></pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-587a840f-85d8-43dd-9e37-b752c9e29aad' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-587a840f-85d8-43dd-9e37-b752c9e29aad' 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>: 366</li><li><span>nlat</span>: 180</li><li><span>nlon</span>: 360</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-745f1795-a79f-438c-b6a3-c6c61c6c4251' class='xr-section-summary-in' type='checkbox' checked><label for='section-745f1795-a79f-438c-b6a3-c6c61c6c4251' class='xr-section-summary' >Coordinates: <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-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2021-01-01 00:00:00 ... 2022-01-...</div><input id='attrs-265588a0-bdcc-4440-8237-68bd0ac938f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-265588a0-bdcc-4440-8237-68bd0ac938f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e3edba9-a7c3-44d6-b754-daae7424daa6' class='xr-var-data-in' type='checkbox'><label for='data-8e3edba9-a7c3-44d6-b754-daae7424daa6' 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>bounds :</span></dt><dd>time_bound</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2021, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2021, 1, 2, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2021, 1, 3, 0, 0, 0, 0, has_year_zero=True), ...,\n", | |
| " cftime.DatetimeNoLeap(2021, 12, 30, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2021, 12, 31, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2022, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n", | |
| " dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b416d65-1ff8-4fd8-b855-606c1a1737bf' class='xr-section-summary-in' type='checkbox' checked><label for='section-6b416d65-1ff8-4fd8-b855-606c1a1737bf' class='xr-section-summary' >Data variables: <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-var-name'><span>FG_CO2_2</span></div><div class='xr-var-dims'>(time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 180, 360), meta=np.ndarray></div><input id='attrs-3bca0b3e-5a5c-4241-82c8-009867fe4a13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bca0b3e-5a5c-4241-82c8-009867fe4a13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9e67a8e-b924-4793-b570-de0a6a08b8a5' class='xr-var-data-in' type='checkbox'><label for='data-d9e67a8e-b924-4793-b570-de0a6a08b8a5' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>long_name :</span></dt><dd>DIC Surface Gas Flux</dd><dt><span>units :</span></dt><dd>mol m$^{-2}$ yr$^{-1}$</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\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> 90.47 MiB </td>\n", | |
| " <td> 7.42 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (366, 180, 360) </td>\n", | |
| " <td> (30, 180, 360) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 14 Tasks </td>\n", | |
| " <td> 13 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float32 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
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| "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-eeba5866-b5ef-41c3-8f77-4b7cacfd4c6f' class='xr-section-summary-in' type='checkbox' ><label for='section-eeba5866-b5ef-41c3-8f77-4b7cacfd4c6f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aca1794e-21ad-4947-ad16-991adb26063d' class='xr-index-data-in' type='checkbox'/><label for='index-aca1794e-21ad-4947-ad16-991adb26063d' 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(CFTimeIndex([2021-01-01 00:00:00, 2021-01-02 00:00:00, 2021-01-03 00:00:00,\n", | |
| " 2021-01-04 00:00:00, 2021-01-05 00:00:00, 2021-01-06 00:00:00,\n", | |
| " 2021-01-07 00:00:00, 2021-01-08 00:00:00, 2021-01-09 00:00:00,\n", | |
| " 2021-01-10 00:00:00,\n", | |
| " ...\n", | |
| " 2021-12-23 00:00:00, 2021-12-24 00:00:00, 2021-12-25 00:00:00,\n", | |
| " 2021-12-26 00:00:00, 2021-12-27 00:00:00, 2021-12-28 00:00:00,\n", | |
| " 2021-12-29 00:00:00, 2021-12-30 00:00:00, 2021-12-31 00:00:00,\n", | |
| " 2022-01-01 00:00:00],\n", | |
| " dtype='object', length=366, calendar='noleap', freq='D'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1438a5ad-d22d-49f7-bb5b-17fc620eb33e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1438a5ad-d22d-49f7-bb5b-17fc620eb33e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (time: 366, nlat: 180, nlon: 360)\n", | |
| "Coordinates:\n", | |
| " * time (time) object 2021-01-01 00:00:00 ... 2022-01-01 00:00:00\n", | |
| "Dimensions without coordinates: nlat, nlon\n", | |
| "Data variables:\n", | |
| " FG_CO2_2 (time, nlat, nlon) float32 dask.array<chunksize=(30, 180, 360), meta=np.ndarray>" | |
| ] | |
| }, | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "da = xr.open_zarr(\"/glade/derecho/scratch/abanihi/fgco2-2021-180x360.zarr\")\n", | |
| "da" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "{'chunks': (30, 180, 360),\n", | |
| " 'preferred_chunks': {'time': 30, 'nlat': 180, 'nlon': 360},\n", | |
| " 'compressor': Zlib(level=5),\n", | |
| " 'filters': None,\n", | |
| " '_FillValue': nan,\n", | |
| " 'dtype': dtype('float32')}" | |
| ] | |
| }, | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "da.FG_CO2_2.encoding" | |
| ] | |
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| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in + label:before {\n", | |
| " display: inline-block;\n", | |
| " content: '►';\n", | |
| " font-size: 11px;\n", | |
| " width: 15px;\n", | |
| " text-align: center;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: '▼';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
| ".xr-section-inline-details {\n", | |
| " padding-top: 4px;\n", | |
| " padding-bottom: 4px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-inline-details {\n", | |
| " grid-column: 2 / -1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap {\n", | |
| " grid-column: 1 / -1;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 20px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap > label {\n", | |
| " grid-column: 1;\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-data,\n", | |
| ".xr-array-in:checked ~ .xr-array-preview {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
| ".xr-array-preview {\n", | |
| " display: inline-block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list {\n", | |
| " display: inline-block !important;\n", | |
| " list-style: none;\n", | |
| " padding: 0 !important;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:before {\n", | |
| " content: '(';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:after {\n", | |
| " content: ')';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
| " content: ',';\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name {\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dims {\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
| " text-align: right;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-preview {\n", | |
| " grid-column: 4;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-index-preview {\n", | |
| " grid-column: 2 / 5;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name,\n", | |
| ".xr-var-dims,\n", | |
| ".xr-var-dtype,\n", | |
| ".xr-preview,\n", | |
| ".xr-attrs dt {\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-data {\n", | |
| " display: none;\n", | |
| " background-color: var(--xr-background-color) !important;\n", | |
| " padding-bottom: 5px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data,\n", | |
| ".xr-index-data-in:checked ~ .xr-index-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-name div,\n", | |
| ".xr-index-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2,\n", | |
| ".xr-no-icon {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (time: 366, nlat: 180, nlon: 360)\n", | |
| "Coordinates:\n", | |
| " * time (time) object 2021-01-01 00:00:00 ... 2022-01-01 00:00:00\n", | |
| "Dimensions without coordinates: nlat, nlon\n", | |
| "Data variables:\n", | |
| " FG_CO2_2 (time, nlat, nlon) float32 dask.array<chunksize=(30, 180, 360), meta=np.ndarray></pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-eaa1cb22-3e65-431a-b6d2-62f5320c301f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eaa1cb22-3e65-431a-b6d2-62f5320c301f' 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>: 366</li><li><span>nlat</span>: 180</li><li><span>nlon</span>: 360</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b9e83176-8d98-4d6c-8b38-b297b9c471c1' class='xr-section-summary-in' type='checkbox' checked><label for='section-b9e83176-8d98-4d6c-8b38-b297b9c471c1' class='xr-section-summary' >Coordinates: <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-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2021-01-01 00:00:00 ... 2022-01-...</div><input id='attrs-224c6b82-e131-4e67-9a6c-de607748fff5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-224c6b82-e131-4e67-9a6c-de607748fff5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d19d56f4-2fad-4490-ade3-521fac43cd3d' class='xr-var-data-in' type='checkbox'><label for='data-d19d56f4-2fad-4490-ade3-521fac43cd3d' 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>bounds :</span></dt><dd>time_bound</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2021, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2021, 1, 2, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2021, 1, 3, 0, 0, 0, 0, has_year_zero=True), ...,\n", | |
| " cftime.DatetimeNoLeap(2021, 12, 30, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2021, 12, 31, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2022, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n", | |
| " dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4560e3f3-710f-4f83-afe5-d9c8e22f34c7' class='xr-section-summary-in' type='checkbox' checked><label for='section-4560e3f3-710f-4f83-afe5-d9c8e22f34c7' class='xr-section-summary' >Data variables: <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-var-name'><span>FG_CO2_2</span></div><div class='xr-var-dims'>(time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 180, 360), meta=np.ndarray></div><input id='attrs-977257c2-17db-4c19-85a1-2648131c6a62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-977257c2-17db-4c19-85a1-2648131c6a62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e8f4cd9-6079-433c-ab69-a2995a457fab' class='xr-var-data-in' type='checkbox'><label for='data-3e8f4cd9-6079-433c-ab69-a2995a457fab' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>long_name :</span></dt><dd>DIC Surface Gas Flux</dd><dt><span>units :</span></dt><dd>mol m$^{-2}$ yr$^{-1}$</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\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> 90.47 MiB </td>\n", | |
| " <td> 7.42 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (366, 180, 360) </td>\n", | |
| " <td> (30, 180, 360) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 14 Tasks </td>\n", | |
| " <td> 13 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float32 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
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| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b13097f-c888-4d48-8e66-41a57a049cdf' class='xr-section-summary-in' type='checkbox' ><label for='section-6b13097f-c888-4d48-8e66-41a57a049cdf' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-48f4e3f9-0288-498b-9aa4-a7f9327d6e50' class='xr-index-data-in' type='checkbox'/><label for='index-48f4e3f9-0288-498b-9aa4-a7f9327d6e50' 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(CFTimeIndex([2021-01-01 00:00:00, 2021-01-02 00:00:00, 2021-01-03 00:00:00,\n", | |
| " 2021-01-04 00:00:00, 2021-01-05 00:00:00, 2021-01-06 00:00:00,\n", | |
| " 2021-01-07 00:00:00, 2021-01-08 00:00:00, 2021-01-09 00:00:00,\n", | |
| " 2021-01-10 00:00:00,\n", | |
| " ...\n", | |
| " 2021-12-23 00:00:00, 2021-12-24 00:00:00, 2021-12-25 00:00:00,\n", | |
| " 2021-12-26 00:00:00, 2021-12-27 00:00:00, 2021-12-28 00:00:00,\n", | |
| " 2021-12-29 00:00:00, 2021-12-30 00:00:00, 2021-12-31 00:00:00,\n", | |
| " 2022-01-01 00:00:00],\n", | |
| " dtype='object', length=366, calendar='noleap', freq='D'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb106b47-4065-4d19-b2be-995461eda284' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cb106b47-4065-4d19-b2be-995461eda284' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
| ], | |
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| "Dimensions: (time: 366, nlat: 180, nlon: 360)\n", | |
| "Coordinates:\n", | |
| " * time (time) object 2021-01-01 00:00:00 ... 2022-01-01 00:00:00\n", | |
| "Dimensions without coordinates: nlat, nlon\n", | |
| "Data variables:\n", | |
| " FG_CO2_2 (time, nlat, nlon) float32 dask.array<chunksize=(30, 180, 360), meta=np.ndarray>" | |
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| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (time: 366, nlat: 360, nlon: 720)\n", | |
| "Coordinates:\n", | |
| " * time (time) object 2021-01-01 00:00:00 ... 2022-01-01 00:00:00\n", | |
| "Dimensions without coordinates: nlat, nlon\n", | |
| "Data variables:\n", | |
| " FG_CO2_2 (time, nlat, nlon) float32 dask.array<chunksize=(30, 360, 720), meta=np.ndarray></pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1ee1c5bf-9a26-43b1-8235-39af92544f70' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1ee1c5bf-9a26-43b1-8235-39af92544f70' 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>: 366</li><li><span>nlat</span>: 360</li><li><span>nlon</span>: 720</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e7384bb4-80be-4b07-95c4-d86d0ff318ab' class='xr-section-summary-in' type='checkbox' checked><label for='section-e7384bb4-80be-4b07-95c4-d86d0ff318ab' class='xr-section-summary' >Coordinates: <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-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2021-01-01 00:00:00 ... 2022-01-...</div><input id='attrs-b153a442-9afb-4d1e-8160-8fcae55f9883' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b153a442-9afb-4d1e-8160-8fcae55f9883' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-912b90e6-90a4-4aa9-8481-cfc94da3604f' class='xr-var-data-in' type='checkbox'><label for='data-912b90e6-90a4-4aa9-8481-cfc94da3604f' 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>bounds :</span></dt><dd>time_bound</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2021, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2021, 1, 2, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2021, 1, 3, 0, 0, 0, 0, has_year_zero=True), ...,\n", | |
| " cftime.DatetimeNoLeap(2021, 12, 30, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2021, 12, 31, 0, 0, 0, 0, has_year_zero=True),\n", | |
| " cftime.DatetimeNoLeap(2022, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n", | |
| " dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-83cf99a5-abfb-46c8-9dcd-8d349f6a4ed6' class='xr-section-summary-in' type='checkbox' checked><label for='section-83cf99a5-abfb-46c8-9dcd-8d349f6a4ed6' class='xr-section-summary' >Data variables: <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-var-name'><span>FG_CO2_2</span></div><div class='xr-var-dims'>(time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 360, 720), meta=np.ndarray></div><input id='attrs-bba3e436-557b-4347-9321-eda90a75786e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bba3e436-557b-4347-9321-eda90a75786e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adf06807-d7c3-4e9b-929f-500b3dd62e19' class='xr-var-data-in' type='checkbox'><label for='data-adf06807-d7c3-4e9b-929f-500b3dd62e19' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>long_name :</span></dt><dd>DIC Surface Gas Flux</dd><dt><span>units :</span></dt><dd>mol m$^{-2}$ yr$^{-1}$</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\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> 361.89 MiB </td>\n", | |
| " <td> 29.66 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (366, 360, 720) </td>\n", | |
| " <td> (30, 360, 720) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 14 Tasks </td>\n", | |
| " <td> 13 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float32 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"215\" height=\"145\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
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| "\n", | |
| " <!-- Vertical lines -->\n", | |
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| " <line x1=\"33\" y1=\"23\" x2=\"33\" y2=\"83\" />\n", | |
| " <line x1=\"36\" y1=\"26\" x2=\"36\" y2=\"86\" />\n", | |
| " <line x1=\"39\" y1=\"29\" x2=\"39\" y2=\"89\" />\n", | |
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| " <line x1=\"45\" y1=\"35\" x2=\"45\" y2=\"95\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
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| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
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| " <!-- Horizontal lines -->\n", | |
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| " <!-- Vertical lines -->\n", | |
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| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"105.882353\" y=\"115.882353\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n", | |
| " <text x=\"185.882353\" y=\"65.882353\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,185.882353,65.882353)\">360</text>\n", | |
| " <text x=\"17.941176\" y=\"97.941176\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,17.941176,97.941176)\">366</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad9c7d5a-c015-40d2-99be-24030c882f3d' class='xr-section-summary-in' type='checkbox' ><label for='section-ad9c7d5a-c015-40d2-99be-24030c882f3d' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-64b07976-587e-441d-a7d6-58ca39010165' class='xr-index-data-in' type='checkbox'/><label for='index-64b07976-587e-441d-a7d6-58ca39010165' 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(CFTimeIndex([2021-01-01 00:00:00, 2021-01-02 00:00:00, 2021-01-03 00:00:00,\n", | |
| " 2021-01-04 00:00:00, 2021-01-05 00:00:00, 2021-01-06 00:00:00,\n", | |
| " 2021-01-07 00:00:00, 2021-01-08 00:00:00, 2021-01-09 00:00:00,\n", | |
| " 2021-01-10 00:00:00,\n", | |
| " ...\n", | |
| " 2021-12-23 00:00:00, 2021-12-24 00:00:00, 2021-12-25 00:00:00,\n", | |
| " 2021-12-26 00:00:00, 2021-12-27 00:00:00, 2021-12-28 00:00:00,\n", | |
| " 2021-12-29 00:00:00, 2021-12-30 00:00:00, 2021-12-31 00:00:00,\n", | |
| " 2022-01-01 00:00:00],\n", | |
| " dtype='object', length=366, calendar='noleap', freq='D'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bd3e49e4-00b6-4dbf-a9b2-a3ad74262231' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bd3e49e4-00b6-4dbf-a9b2-a3ad74262231' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (time: 366, nlat: 360, nlon: 720)\n", | |
| "Coordinates:\n", | |
| " * time (time) object 2021-01-01 00:00:00 ... 2022-01-01 00:00:00\n", | |
| "Dimensions without coordinates: nlat, nlon\n", | |
| "Data variables:\n", | |
| " FG_CO2_2 (time, nlat, nlon) float32 dask.array<chunksize=(30, 360, 720), meta=np.ndarray>" | |
| ] | |
| }, | |
| "execution_count": 16, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "xr.open_zarr(\"/glade/derecho/scratch/abanihi/fgco2-2021-360x720.zarr\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python [conda env:miniconda-dev]", | |
| "language": "python", | |
| "name": "conda-env-miniconda-dev-py" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.9.15" | |
| }, | |
| "widgets": { | |
| "application/vnd.jupyter.widget-state+json": { | |
| "state": {}, | |
| "version_major": 2, | |
| "version_minor": 0 | |
| } | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 4 | |
| } |
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