From 93543d09825d497749f84d74297ca05688fc80b6 Mon Sep 17 00:00:00 2001
From: Fabian Wachsmann <k204210@l40358.lvt.dkrz.de>
Date: Wed, 26 Feb 2025 15:01:27 +0100
Subject: [PATCH] Added a tape xpublish
---
.../4_kerchunk-input-kerchunk-api-tape.ipynb | 16545 ++++++++++++++++
workshop/testslurm.sh | 16 +
2 files changed, 16561 insertions(+)
create mode 100644 workshop/4_kerchunk-input-kerchunk-api-tape.ipynb
create mode 100644 workshop/testslurm.sh
diff --git a/workshop/4_kerchunk-input-kerchunk-api-tape.ipynb b/workshop/4_kerchunk-input-kerchunk-api-tape.ipynb
new file mode 100644
index 0000000..beac348
--- /dev/null
+++ b/workshop/4_kerchunk-input-kerchunk-api-tape.ipynb
@@ -0,0 +1,16545 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "1bc2dd78-97d7-4b39-bf35-03dcacc767f9",
+ "metadata": {},
+ "source": [
+ "## 4. Kerchunk input data and the kerchunk API\n",
+ "\n",
+ "Within this series, we cannot explain how kerchunking works. For now, it is only important to understand that it leverages the zarr benefits of both small memory requirements for opening as well as consolidated metadata for virtual aggregation.\n",
+ "\n",
+ "We now design the script such that it \n",
+ "- opens *kerchunk* references instead of files\n",
+ "- enables access trough the kerchunk API\n",
+ "\n",
+ "With the kerchunk API, we do not necessarily need a dask cluster anymore (but without a dask cluster, the dask API will not work)."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "505d07ff-db38-4938-8b65-c18ca0391599",
+ "metadata": {},
+ "source": [
+ "**Differences to the first example**:\n",
+ "\n",
+ "- we open data through the so called *lazy reference* mapper with\n",
+ " ```python\n",
+ " fsspec.get_mapper(\n",
+ " lazy=True,\n",
+ " )\n",
+ " ```\n",
+ " which we pass to xarray afterwards. This only works for kerchunked input data.\n",
+ "- we add a *dict* of fspec mappern to the kerchunk plguin by setting `kp.mapper_dict`\n",
+ " Xpublish will recognize the"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "571a82ea-d7bc-42e3-8169-ae22ef999065",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Overwriting xpublish_references.py\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%writefile xpublish_references.py\n",
+ "\n",
+ "ssl_keyfile=\"/work/bm0021/k204210/cloudify/workshop/key.pem\"\n",
+ "ssl_certfile=\"/work/bm0021/k204210/cloudify/workshop/cert.pem\"\n",
+ "\n",
+ "from cloudify.plugins.stacer import *\n",
+ "from cloudify.utils.daskhelper import *\n",
+ "from cloudify.plugins.kerchunk import *\n",
+ "import xarray as xr\n",
+ "import xpublish as xp\n",
+ "#import asyncio\n",
+ "#import nest_asyncio\n",
+ "import sys\n",
+ "import os\n",
+ "import socket\n",
+ "\n",
+ "def is_port_free(port, host=\"localhost\"):\n",
+ " with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:\n",
+ " return s.connect_ex((host, port)) != 0 # Returns True if the port is free\n",
+ "\n",
+ "def find_free_port(start=5000, end=5100, host=\"localhost\"):\n",
+ " for port in range(start, end + 1):\n",
+ " if is_port_free(port, host):\n",
+ " return port\n",
+ " return None # No free ports found\n",
+ "\n",
+ "port = find_free_port(9000,9100)\n",
+ "if not port:\n",
+ " raise ValueError(\"Could not find a free port for service\")\n",
+ "\n",
+ "SO=dict(\n",
+ " remote_protocol=\"slk\",\n",
+ " remote_options=dict(\n",
+ " slk_cache=\"/scratch/k/k202134/INTAKE_CACHE\"\n",
+ " ),\n",
+ " lazy=True,\n",
+ " cache_size=0\n",
+ ")\n",
+ "#nest_asyncio.apply()\n",
+ "\n",
+ "\n",
+ "if __name__ == \"__main__\": # This avoids infinite subprocess creation\n",
+ " #import dask\n",
+ " #zarrcluster = asyncio.get_event_loop().run_until_complete(get_dask_cluster())\n",
+ " #os.environ[\"ZARR_ADDRESS\"]=zarrcluster.scheduler._address\n",
+ " \n",
+ " dsname=sys.argv[1]\n",
+ " glob_inp=sys.argv[2]\n",
+ "\n",
+ " dsdict={}\n",
+ " source=\"reference::/\"+glob_inp\n",
+ " print(source)\n",
+ " fsmap = fsspec.get_mapper(\n",
+ " source,\n",
+ " **SO\n",
+ " )\n",
+ " ds=xr.open_dataset(\n",
+ " fsmap,\n",
+ " engine=\"zarr\",\n",
+ " chunks=\"auto\",\n",
+ " consolidated=False \n",
+ " )\n",
+ " kp = KerchunkPass()\n",
+ " kp.mapper_dict = {source:fsmap}\n",
+ " ds=ds.drop_encoding() \n",
+ " ds.encoding[\"source\"]=source\n",
+ " dsdict[dsname]=ds\n",
+ " \n",
+ " collection = xp.Rest(dsdict)\n",
+ " collection.register_plugin(Stac())\n",
+ " collection.register_plugin(kp)\n",
+ " collection.serve(\n",
+ " host=\"0.0.0.0\",\n",
+ " port=port,\n",
+ " ssl_keyfile=ssl_keyfile,\n",
+ " ssl_certfile=ssl_certfile\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ca64c11f-0846-4ddd-9e60-4b22dba8b32c",
+ "metadata": {},
+ "source": [
+ "We run this app with ERA5 data:\n",
+ "\n",
+ "```\n",
+ "dsname=\"era5\"\n",
+ "glob_inp=\"/work/bm1344/DKRZ/kerchunks_single/testera/E5_sf_an_1D.parquet\"\n",
+ "```\n",
+ "\n",
+ "by applying:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "5da13d6b-05f1-4b3b-aecd-1ac3bb635526",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "%%bash --bg\n",
+ "source activate /work/bm0021/conda-envs/cloudify\n",
+ "python xpublish_references.py era5 /work/bm1344/DKRZ/kerchunks_single/testera/E5_sf_an_1D.parquet"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a7ab712d-eff9-4a8e-8f66-fd603e2ab658",
+ "metadata": {},
+ "source": [
+ "If sth goes wrong, you can check for *cloudify* processes that you can *kill* by ID."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "9a43c4ce-be08-4493-8dd5-a3789f8c0647",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "k204210 52510 4121939 0 10:12 ? 00:00:01 /work/bm0021/conda-envs/cloudify/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-c6562e74-6d50-4cf3-92d0-27e4f4cae6f8.json\n",
+ "k204210 56270 4121939 0 10:18 ? 00:00:07 /work/bm0021/conda-envs/cloudify/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-e22a5303-3b28-41cb-b092-ed92a8ff6221.json\n",
+ "k204210 67839 4121939 0 10:42 ? 00:00:13 /work/bm0021/conda-envs/cloudify/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-33489dce-534b-42ed-bbe7-6d125e3f6167.json\n",
+ "k204210 198403 4121939 13 11:34 ? 00:00:12 /work/bm0021/conda-envs/cloudify/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-16ae079b-b9fb-4460-bc7c-808797637e88.json\n",
+ "k204210 198463 198403 0 11:35 ? 00:00:00 bash\n",
+ "k204210 198487 198463 9 11:35 ? 00:00:06 python xpublish_references.py era5 /work/bm1344/DKRZ/kerchunks_single/testera/E5_sf_an_1D.parquet\n",
+ "k204210 200138 198403 0 11:36 pts/2 00:00:00 /bin/bash -c ps -ef | grep k204210\n",
+ "k204210 200139 200138 0 11:36 pts/2 00:00:00 ps -ef\n",
+ "k204210 200140 200138 0 11:36 pts/2 00:00:00 grep k204210\n",
+ "k204210 4121487 4121482 0 08:57 ? 00:00:00 /bin/bash /var/spool/slurmd/job14671095/slurm_script\n",
+ "k204210 4121939 4121487 8 08:57 ? 00:13:45 /sw/spack-levante/jupyterhub/jupyterhub/bin/python /sw/spack-levante/jupyterhub/jupyterhub/bin/batchspawner-singleuser jupyterhub-singleuser --SingleUserNotebookApp.default_url=/lab/tree//home/k/k204210 --ServerApp.root_dir=/ --KernelSpecManager.ensure_native_kernel=False --ServerApp.disable_user_config=True --ServerApp.ContentsManager.allow_hidden=True\n",
+ "k204210 4124097 4121939 0 08:57 pts/13 00:00:00 /bin/bash -l\n",
+ "k204210 4124109 4121939 0 08:57 pts/14 00:00:00 /bin/bash -l\n",
+ "k204210 4124210 4121939 0 08:57 pts/15 00:00:00 /bin/bash -l\n",
+ "k204210 4125115 4121939 0 08:57 ? 00:00:01 /work/bm1344/conda-envs/virtualizarr/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-991a5929-0b29-4b79-afb2-9ad9962e513f.json\n",
+ "k204210 4125118 4121939 0 08:57 ? 00:00:01 /work/bm1344/conda-envs/virtualizarr/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-0bbcf52e-1759-4e8e-95b7-9f0914202162.json\n",
+ "k204210 4125121 4121939 0 08:57 ? 00:00:00 /bin/bash /sw/spack-levante/jupyterhub/jupyter_kernels/scripts/python3_unstable.sh /home/k/k204210/.local/share/jupyter/runtime/kernel-1f990edb-3439-4064-be93-5851e8a396ef.json\n",
+ "k204210 4125128 4121939 0 08:57 ? 00:00:00 /bin/bash /sw/spack-levante/jupyterhub/jupyter_kernels/scripts/python3_unstable.sh /home/k/k204210/.local/share/jupyter/runtime/kernel-44cd728a-deef-4255-9461-07327e613d97.json\n",
+ "k204210 4125152 4121939 0 08:57 ? 00:00:01 /work/bm0021/conda-envs/xesmf/bin/python -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-c65fa87a-5d17-4467-82e9-5d4c3a2a04a7.json\n",
+ "k204210 4125443 4121939 0 08:57 ? 00:00:01 /work/bm1344/conda-envs/virtualizarr/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-c6b4a066-3a6c-4547-87d4-0757879168fb.json\n",
+ "k204210 4125444 4121939 0 08:57 ? 00:00:01 /work/bm0021/conda-envs/cloudify/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-f2ebf347-166b-4e0f-89ee-e7e663b08a4c.json\n",
+ "k204210 4125445 4121939 0 08:57 ? 00:00:01 /work/bm1344/conda-envs/py_312/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-44b9e81e-0dc4-459c-99b4-1cd8ffa3c663.json\n",
+ "k204210 4125998 4125121 0 08:57 ? 00:00:01 python -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-1f990edb-3439-4064-be93-5851e8a396ef.json\n",
+ "k204210 4125999 4125128 0 08:57 ? 00:00:01 python -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-44cd728a-deef-4255-9461-07327e613d97.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "!ps -ef | grep k204210"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "af33c134-f4ba-42f7-9687-7bb9948d5dfe",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "!kill 198487"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8e797fa6-8621-46c7-9dce-5b79adf714e3",
+ "metadata": {},
+ "source": [
+ "**Data access via the kerchunk API**\n",
+ "\n",
+ "You can get the host url with the hostname of the levante node you work on and the port that you used for the app:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "bd1abfca-5f10-4dfc-a71f-90f0257d10d1",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "https://l40038.lvt.dkrz.de:9010\n"
+ ]
+ }
+ ],
+ "source": [
+ "port=9010\n",
+ "hostname=!echo $HOSTNAME\n",
+ "hosturl=\"https://\"+hostname[0]+\":\"+str(port)\n",
+ "print(hosturl)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "84951ac0-8e70-4917-892a-01b236f7c0ba",
+ "metadata": {},
+ "source": [
+ "We have to tell the python programs to do not verify ssl certificates for our purposes:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "e3befb5e-99ec-4bda-aa47-303641a66320",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "storage_options=dict(verify_ssl=False)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "093ceaf2-1bda-40c7-9df5-7cbe8cf9dc66",
+ "metadata": {},
+ "source": [
+ "**Xarray**"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "878d421a-c4a4-4999-9f7e-e101d6b58082",
+ "metadata": {},
+ "source": [
+ "Our era dataset is available via both the *zarr* API **and** the *kerchunk* API.\n",
+ "They are named similar:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "73527b45-950c-4546-9a7e-5f1877cff132",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "https://l40038.lvt.dkrz.de:9010/datasets/era5/kerchunk\n"
+ ]
+ }
+ ],
+ "source": [
+ "dsname=\"era5\"\n",
+ "zarr_url='/'.join([hosturl,\"datasets\",dsname,\"zarr\"])\n",
+ "kerchunk_url='/'.join([hosturl,\"datasets\",dsname,\"kerchunk\"])\n",
+ "print(kerchunk_url)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "482f8b5c-0186-494f-91b0-e5a03c370004",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "ds=xr.open_zarr(\n",
+ " kerchunk_url,\n",
+ " consolidated=True,\n",
+ " storage_options=storage_options\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "3b7405e3-1957-46ef-b564-942850fec433",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "data": {
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+ ".xr-header > div,\n",
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+ "}\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: 'â–º';\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: 'â–¼';\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> Size: 5TB\n",
+ "Dimensions: (time: 30955, cell: 542080)\n",
+ "Coordinates:\n",
+ " lat (cell) float64 4MB dask.array<chunksize=(542080,), meta=np.ndarray>\n",
+ " lon (cell) float64 4MB dask.array<chunksize=(542080,), meta=np.ndarray>\n",
+ " * time (time) datetime64[ns] 248kB 1940-01-01T11:30:00 ... 2024-09-30T1...\n",
+ "Dimensions without coordinates: cell\n",
+ "Data variables: (12/40)\n",
+ " 100u (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " 100v (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " 10u (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " 10v (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " 2d (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " 2t (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " ... ...\n",
+ " swvl4 (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " tcc (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " tco3 (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " tcw (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " tcwv (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " tsn (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ "Attributes: (12/22)\n",
+ " project: ECMWF Re-Analysis\n",
+ " project_id: ERA\n",
+ " institution_id: ECMWF-DKRZ\n",
+ " institution: Data from European Centre for Medium-Range Weather ...\n",
+ " source_id: IFS\n",
+ " source: ECMWF Integrated Forecast System (IFS) CY41R2\n",
+ " ... ...\n",
+ " format: kerchunk\n",
+ " product: reanalysis\n",
+ " responsible_persons: Angelika Heil, Fabian Wachsmann\n",
+ " title: The DKRZ ERA5 data pool. Generated using Copernicus...\n",
+ " license: The ERA5 data are published with the Copernicus Pro...\n",
+ " references: Hersbach, H., Bell, B., Berrisford, P., Hirahara, S...</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-28f5cb97-89e3-4f42-af3b-ea4f93258ff1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-28f5cb97-89e3-4f42-af3b-ea4f93258ff1' 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>: 30955</li><li><span>cell</span>: 542080</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-42c63314-1147-4ae6-b816-bd70975946cb' class='xr-section-summary-in' type='checkbox' checked><label for='section-42c63314-1147-4ae6-b816-bd70975946cb' 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>lat</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(542080,), meta=np.ndarray></div><input id='attrs-e6546ea6-3eab-4f0a-990f-d2b96edf71c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6546ea6-3eab-4f0a-990f-d2b96edf71c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f08e8e3-80db-4979-b223-95b620ea323f' class='xr-var-data-in' type='checkbox'><label for='data-3f08e8e3-80db-4979-b223-95b620ea323f' 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>source :</span></dt><dd>../../../../../pool/data/ERA5/E5/sf/an/1M/167/E5sf00_1M_1940_167.grb</dd><dt><span>filter_by_keys :</span></dt><dd>{}</dd><dt><span>encode_cf :</span></dt><dd>['parameter', 'time', 'geography', 'vertical']</dd><dt><span>original_shape :</span></dt><dd>[542080]</dd><dt><span>dtype :</span></dt><dd>float64</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> 4.14 MiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (542080,) </td>\n",
+ " <td> (542080,) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ " </table>\n",
+ " </td>\n",
+ " <td>\n",
+ " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+ "\n",
+ " <!-- Horizontal lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+ " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
+ "\n",
+ " <!-- Vertical lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
+ " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
+ "\n",
+ " <!-- Colored Rectangle -->\n",
+ " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+ "\n",
+ " <!-- Text -->\n",
+ " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >542080</text>\n",
+ " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(542080,), meta=np.ndarray></div><input id='attrs-e5818874-a20f-4d44-9145-a0a231fc36b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5818874-a20f-4d44-9145-a0a231fc36b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed42f2e9-2769-4526-830a-727a2863f555' class='xr-var-data-in' type='checkbox'><label for='data-ed42f2e9-2769-4526-830a-727a2863f555' 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>source :</span></dt><dd>../../../../../pool/data/ERA5/E5/sf/an/1M/167/E5sf00_1M_1940_167.grb</dd><dt><span>filter_by_keys :</span></dt><dd>{}</dd><dt><span>encode_cf :</span></dt><dd>['parameter', 'time', 'geography', 'vertical']</dd><dt><span>original_shape :</span></dt><dd>[542080]</dd><dt><span>dtype :</span></dt><dd>float64</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> 4.14 MiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (542080,) </td>\n",
+ " <td> (542080,) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ " </table>\n",
+ " </td>\n",
+ " <td>\n",
+ " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+ "\n",
+ " <!-- Horizontal lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+ " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
+ "\n",
+ " <!-- Vertical lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
+ " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
+ "\n",
+ " <!-- Colored Rectangle -->\n",
+ " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+ "\n",
+ " <!-- Text -->\n",
+ " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >542080</text>\n",
+ " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></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'>1940-01-01T11:30:00 ... 2024-09-...</div><input id='attrs-b1c13f4f-66fb-4dbb-8a59-90c6733630a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1c13f4f-66fb-4dbb-8a59-90c6733630a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cbe07cb-96c5-42b9-b182-8f6a52f639e7' class='xr-var-data-in' type='checkbox'><label for='data-8cbe07cb-96c5-42b9-b182-8f6a52f639e7' 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>_FillValue :</span></dt><dd>1970-01-01T00:00:00.000000000</dd></dl></div><div class='xr-var-data'><pre>array(['1940-01-01T11:30:00.000000000', '1940-01-02T11:30:00.000000000',\n",
+ " '1940-01-03T11:30:00.000000000', ..., '2024-09-28T11:30:00.000000000',\n",
+ " '2024-09-29T11:30:00.000000000', '2024-09-30T11:30:00.000000000'],\n",
+ " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2a8d205e-f9e9-46ee-b517-ae58f0069c2c' class='xr-section-summary-in' type='checkbox' ><label for='section-2a8d205e-f9e9-46ee-b517-ae58f0069c2c' class='xr-section-summary' >Data variables: <span>(40)</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>100u</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-719af892-e10d-42e5-b209-b833b69a806e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-719af892-e10d-42e5-b209-b833b69a806e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd9128d3-b7a3-4e9c-93b7-597da8c2f725' class='xr-var-data-in' type='checkbox'><label for='data-fd9128d3-b7a3-4e9c-93b7-597da8c2f725' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>100u</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>name :</span></dt><dd>100 metre U wind component</dd><dt><span>cfVarName :</span></dt><dd>u100</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 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",
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+ " <td>\n",
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+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>100v</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-ac214830-abee-4e57-90e2-ef9df8fa703f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac214830-abee-4e57-90e2-ef9df8fa703f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90344d87-3eb1-4134-895f-7566714278a6' class='xr-var-data-in' type='checkbox'><label for='data-90344d87-3eb1-4134-895f-7566714278a6' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>100v</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>name :</span></dt><dd>100 metre V wind component</dd><dt><span>cfVarName :</span></dt><dd>v100</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 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",
+ " <td>\n",
+ " <svg width=\"170\" height=\"85\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10u</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-a9e8bcfb-f766-489d-9970-05421c14d096' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9e8bcfb-f766-489d-9970-05421c14d096' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fab7bbc2-9581-4152-8f72-3fe874a567a8' class='xr-var-data-in' type='checkbox'><label for='data-fab7bbc2-9581-4152-8f72-3fe874a567a8' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>10u</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>name :</span></dt><dd>10 metre U wind component</dd><dt><span>cfVarName :</span></dt><dd>u10</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 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",
+ " <td>\n",
+ " <svg width=\"170\" height=\"85\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10v</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-16b97156-a7de-4608-a41a-cfa45776720f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16b97156-a7de-4608-a41a-cfa45776720f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d2f02e3-c662-471d-a1ba-eb0b3e592948' class='xr-var-data-in' type='checkbox'><label for='data-6d2f02e3-c662-471d-a1ba-eb0b3e592948' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>10v</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>name :</span></dt><dd>10 metre V wind component</dd><dt><span>cfVarName :</span></dt><dd>v10</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 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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+ " <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",
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+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 125.02 GiB </td>\n",
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+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+ " <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",
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+ " <tbody>\n",
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+ " <th> Bytes </th>\n",
+ " <td> 125.02 GiB </td>\n",
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+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+ " <tr>\n",
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+ " <tbody>\n",
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+ " <td> 125.02 GiB </td>\n",
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+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
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+ " <tbody>\n",
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+ " <tr>\n",
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+ " <tr>\n",
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+ " <td>\n",
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+ " <tbody>\n",
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+ " <th> Bytes </th>\n",
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+ " <tr>\n",
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+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
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+ " </tr>\n",
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+ " <tbody>\n",
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+ " <tr>\n",
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+ " <thead>\n",
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+ " <th> Shape </th>\n",
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+ " <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> 125.02 GiB </td>\n",
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+ " <tr>\n",
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+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 125.02 GiB </td>\n",
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+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
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+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+ " <tr>\n",
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+ " <table style=\"border-collapse: collapse;\">\n",
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+ " \n",
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+ " <th> Bytes </th>\n",
+ " <td> 125.02 GiB </td>\n",
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+ " <th> Shape </th>\n",
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+ " <th> Data type </th>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swvl2</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-b31e502c-d6cc-451d-8f29-e9d579566cf9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b31e502c-d6cc-451d-8f29-e9d579566cf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9fa037e-9d1e-46f7-b79b-c485bc26c6f5' class='xr-var-data-in' type='checkbox'><label for='data-f9fa037e-9d1e-46f7-b79b-c485bc26c6f5' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>swvl2</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd><dt><span>name :</span></dt><dd>Volumetric soil water layer 2</dd><dt><span>cfVarName :</span></dt><dd>swvl2</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
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+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 chunks in 2 graph layers </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Data type </th>\n",
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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swvl3</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-a0e16a48-c5d5-42b2-8fca-91f6521156d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0e16a48-c5d5-42b2-8fca-91f6521156d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8f3727c-26cd-4027-8a60-9b770cf94bb9' class='xr-var-data-in' type='checkbox'><label for='data-e8f3727c-26cd-4027-8a60-9b770cf94bb9' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>swvl3</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd><dt><span>name :</span></dt><dd>Volumetric soil water layer 3</dd><dt><span>cfVarName :</span></dt><dd>swvl3</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 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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+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swvl4</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-21dd32a7-500f-4420-aac7-03a69b225f12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21dd32a7-500f-4420-aac7-03a69b225f12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dafa8151-8510-45b6-8f62-58e178bfc4d1' class='xr-var-data-in' type='checkbox'><label for='data-dafa8151-8510-45b6-8f62-58e178bfc4d1' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>swvl4</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd><dt><span>name :</span></dt><dd>Volumetric soil water layer 4</dd><dt><span>cfVarName :</span></dt><dd>swvl4</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
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+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 125.02 GiB </td>\n",
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+ " <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",
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+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
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+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 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>tcw</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-3596b46d-0168-4e2e-bead-595166a5d01d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3596b46d-0168-4e2e-bead-595166a5d01d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f3737e7-67ab-4bca-a30b-343ae642f555' class='xr-var-data-in' type='checkbox'><label for='data-3f3737e7-67ab-4bca-a30b-343ae642f555' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>tcw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>name :</span></dt><dd>Total column water</dd><dt><span>cfVarName :</span></dt><dd>tcw</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
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+ " <th> Dask graph </th>\n",
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+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+ " <tr>\n",
+ " <td>\n",
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+ " <th> Chunk </th>\n",
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+ " <tbody>\n",
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+ " <td> 125.02 GiB </td>\n",
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+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
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+ " <th> Dask graph </th>\n",
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+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+ "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-79d086b1-1fba-4e1f-a36b-644dc97d1d65' class='xr-section-summary-in' type='checkbox' ><label for='section-79d086b1-1fba-4e1f-a36b-644dc97d1d65' 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-91ce1579-7bf1-42f4-aae1-f9eba41ce828' class='xr-index-data-in' type='checkbox'/><label for='index-91ce1579-7bf1-42f4-aae1-f9eba41ce828' 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(['1940-01-01 11:30:00', '1940-01-02 11:30:00',\n",
+ " '1940-01-03 11:30:00', '1940-01-04 11:30:00',\n",
+ " '1940-01-05 11:30:00', '1940-01-06 11:30:00',\n",
+ " '1940-01-07 11:30:00', '1940-01-08 11:30:00',\n",
+ " '1940-01-09 11:30:00', '1940-01-10 11:30:00',\n",
+ " ...\n",
+ " '2024-09-21 11:30:00', '2024-09-22 11:30:00',\n",
+ " '2024-09-23 11:30:00', '2024-09-24 11:30:00',\n",
+ " '2024-09-25 11:30:00', '2024-09-26 11:30:00',\n",
+ " '2024-09-27 11:30:00', '2024-09-28 11:30:00',\n",
+ " '2024-09-29 11:30:00', '2024-09-30 11:30:00'],\n",
+ " dtype='datetime64[ns]', name='time', length=30955, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e299ed1e-7cac-4aaa-851b-895195d20548' class='xr-section-summary-in' type='checkbox' ><label for='section-e299ed1e-7cac-4aaa-851b-895195d20548' class='xr-section-summary' >Attributes: <span>(22)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>project :</span></dt><dd>ECMWF Re-Analysis</dd><dt><span>project_id :</span></dt><dd>ERA</dd><dt><span>institution_id :</span></dt><dd>ECMWF-DKRZ</dd><dt><span>institution :</span></dt><dd>Data from European Centre for Medium-Range Weather Forecasts (ECMWF) distributed by the Germen Climate Computing Center (DKRZ)</dd><dt><span>source_id :</span></dt><dd>IFS</dd><dt><span>source :</span></dt><dd>ECMWF Integrated Forecast System (IFS) CY41R2</dd><dt><span>experiment_id :</span></dt><dd>ERA5</dd><dt><span>simulation_id :</span></dt><dd>ERA5</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>frequency :</span></dt><dd>daily</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>grid_id :</span></dt><dd>N320</dd><dt><span>grid_type :</span></dt><dd>gaussian_reduced</dd><dt><span>resolution :</span></dt><dd>0.28125 deg</dd><dt><span>level_type :</span></dt><dd>surface</dd><dt><span>data_type :</span></dt><dd>analysis</dd><dt><span>format :</span></dt><dd>kerchunk</dd><dt><span>product :</span></dt><dd>reanalysis</dd><dt><span>responsible_persons :</span></dt><dd>Angelika Heil, Fabian Wachsmann</dd><dt><span>title :</span></dt><dd>The DKRZ ERA5 data pool. Generated using Copernicus Climate Change Service information [2024]. Data distribution by the German Climate Computing Center (DKRZ). Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains</dd><dt><span>license :</span></dt><dd>The ERA5 data are published with the Copernicus Product License with the necessity of attribution. https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products</dd><dt><span>references :</span></dt><dd>Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñozâ€Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R.J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., Thépaut, J-N. (2017): Complete ERA5 from 1940: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service (C3S) Data Store (CDS). DOI: 10.24381/cds.143582cf</dd></dl></div></li></ul></div></div>"
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+ "Dimensions without coordinates: cell\n",
+ "Data variables: (12/40)\n",
+ " 100u (cell) float64 4MB 5.838 2.636 -0.8782 ... -8.296 -6.063 -2.922\n",
+ " 100v (cell) float64 4MB -8.215 -9.827 -10.22 ... -6.401 -8.995 -10.81\n",
+ " 10u (cell) float64 4MB 4.36 2.381 0.09148 ... -5.739 -4.711 -3.002\n",
+ " 10v (cell) float64 4MB -4.953 -6.245 -6.762 ... -3.089 -4.959 -6.483\n",
+ " 2d (cell) float64 4MB 259.5 259.7 259.9 260.1 ... 219.4 219.4 219.4\n",
+ " 2t (cell) float64 4MB 261.9 262.1 262.3 262.5 ... 223.3 223.4 223.5\n",
+ " ... ...\n",
+ " swvl4 (cell) float64 4MB 0.0 0.0 0.0 0.0 ... 0.1602 0.1602 0.1602 0.1602\n",
+ " tcc (cell) float64 4MB 0.9721 0.9683 0.9667 ... 0.9813 0.9838 0.9871\n",
+ " tco3 (cell) float64 4MB 0.006883 0.006877 0.006873 ... 0.002953 0.002952\n",
+ " tcw (cell) float64 4MB 5.733 5.772 5.815 5.877 ... 0.4126 0.4126 0.4126\n",
+ " tcwv (cell) float64 4MB 5.655 5.692 5.733 5.793 ... 0.3989 0.4008 0.4008\n",
+ " tsn (cell) float64 4MB 261.7 261.9 262.1 262.4 ... 221.2 221.3 221.3\n",
+ "Attributes: (12/22)\n",
+ " project: ECMWF Re-Analysis\n",
+ " project_id: ERA\n",
+ " institution_id: ECMWF-DKRZ\n",
+ " institution: Data from European Centre for Medium-Range Weather ...\n",
+ " source_id: IFS\n",
+ " source: ECMWF Integrated Forecast System (IFS) CY41R2\n",
+ " ... ...\n",
+ " format: kerchunk\n",
+ " product: reanalysis\n",
+ " responsible_persons: Angelika Heil, Fabian Wachsmann\n",
+ " title: The DKRZ ERA5 data pool. Generated using Copernicus...\n",
+ " license: The ERA5 data are published with the Copernicus Pro...\n",
+ " references: Hersbach, H., Bell, B., Berrisford, P., Hirahara, S...</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-83327d51-5708-4b0a-a2ac-a5d0662bbead' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-83327d51-5708-4b0a-a2ac-a5d0662bbead' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>cell</span>: 542080</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5c493b42-8164-48f6-9cde-5ce41c4a639a' class='xr-section-summary-in' type='checkbox' checked><label for='section-5c493b42-8164-48f6-9cde-5ce41c4a639a' 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>lat</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.78 89.78 89.78 ... -89.78 -89.78</div><input id='attrs-3d142f09-3d64-4e30-b235-6e4140347b12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d142f09-3d64-4e30-b235-6e4140347b12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e5b5f72-3aad-40c5-af20-699cf9cd68a7' class='xr-var-data-in' type='checkbox'><label for='data-3e5b5f72-3aad-40c5-af20-699cf9cd68a7' 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>source :</span></dt><dd>../../../../../pool/data/ERA5/E5/sf/an/1M/167/E5sf00_1M_1940_167.grb</dd><dt><span>filter_by_keys :</span></dt><dd>{}</dd><dt><span>encode_cf :</span></dt><dd>['parameter', 'time', 'geography', 'vertical']</dd><dt><span>original_shape :</span></dt><dd>[542080]</dd><dt><span>dtype :</span></dt><dd>float64</dd></dl></div><div class='xr-var-data'><pre>array([ 89.78487691, 89.78487691, 89.78487691, ..., -89.78487691,\n",
+ " -89.78487691, -89.78487691])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 20.0 40.0 ... 300.0 320.0 340.0</div><input id='attrs-99602145-b898-4d2b-8e08-6b56c3faf117' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99602145-b898-4d2b-8e08-6b56c3faf117' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18357dcc-1334-4b51-b977-55a95e4df0e6' class='xr-var-data-in' type='checkbox'><label for='data-18357dcc-1334-4b51-b977-55a95e4df0e6' 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>source :</span></dt><dd>../../../../../pool/data/ERA5/E5/sf/an/1M/167/E5sf00_1M_1940_167.grb</dd><dt><span>filter_by_keys :</span></dt><dd>{}</dd><dt><span>encode_cf :</span></dt><dd>['parameter', 'time', 'geography', 'vertical']</dd><dt><span>original_shape :</span></dt><dd>[542080]</dd><dt><span>dtype :</span></dt><dd>float64</dd></dl></div><div class='xr-var-data'><pre>array([ nan, 20., 40., ..., 300., 320., 340.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-09-30T11:30:00</div><input id='attrs-37370dfd-f993-4dfd-9eca-a6c1d7db0ff0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37370dfd-f993-4dfd-9eca-a6c1d7db0ff0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbbd61d5-61c6-47dc-bc3b-b3770126ee61' class='xr-var-data-in' type='checkbox'><label for='data-cbbd61d5-61c6-47dc-bc3b-b3770126ee61' 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>_FillValue :</span></dt><dd>1970-01-01T00:00:00.000000000</dd></dl></div><div class='xr-var-data'><pre>array('2024-09-30T11:30:00.000000000', dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-97647701-cc35-4911-9908-0c95365ba66e' class='xr-section-summary-in' type='checkbox' ><label for='section-97647701-cc35-4911-9908-0c95365ba66e' class='xr-section-summary' >Data variables: <span>(40)</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>100u</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.838 2.636 ... -6.063 -2.922</div><input id='attrs-97197b3f-ede1-4ec6-9ab0-ece2b6c44c99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97197b3f-ede1-4ec6-9ab0-ece2b6c44c99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1554f6bc-97bf-4062-8c38-c594dcdbcf5e' class='xr-var-data-in' type='checkbox'><label for='data-1554f6bc-97bf-4062-8c38-c594dcdbcf5e' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>100u</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>name :</span></dt><dd>100 metre U wind component</dd><dt><span>cfVarName :</span></dt><dd>u100</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([ 5.83758545, 2.63641357, -0.87823486, ..., -8.29620361,\n",
+ " -6.06280518, -2.92218018])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>100v</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.215 -9.827 ... -8.995 -10.81</div><input id='attrs-f932ff2f-ea93-4483-ab9b-1082c950cf4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f932ff2f-ea93-4483-ab9b-1082c950cf4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de47781e-ed36-40db-b83c-7ebb89500cad' class='xr-var-data-in' type='checkbox'><label for='data-de47781e-ed36-40db-b83c-7ebb89500cad' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>100v</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>name :</span></dt><dd>100 metre V wind component</dd><dt><span>cfVarName :</span></dt><dd>v100</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([ -8.21508789, -9.82739258, -10.22387695, ..., -6.40063477,\n",
+ " -8.99536133, -10.8059082 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10u</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.36 2.381 ... -4.711 -3.002</div><input id='attrs-ba5c289e-27ac-4562-b155-58901f630f9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba5c289e-27ac-4562-b155-58901f630f9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95e83b7b-8f4c-425c-b600-9279a0ba27c6' class='xr-var-data-in' type='checkbox'><label for='data-95e83b7b-8f4c-425c-b600-9279a0ba27c6' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>10u</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>name :</span></dt><dd>10 metre U wind component</dd><dt><span>cfVarName :</span></dt><dd>u10</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([ 4.36003113, 2.38053894, 0.09147644, ..., -5.73860168,\n",
+ " -4.71125793, -3.00227356])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10v</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.953 -6.245 ... -4.959 -6.483</div><input id='attrs-1ae1437b-c1c0-43a3-9201-9c606c1e7a81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ae1437b-c1c0-43a3-9201-9c606c1e7a81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d31a5492-593b-471c-90bf-9f4ba5414807' class='xr-var-data-in' type='checkbox'><label for='data-d31a5492-593b-471c-90bf-9f4ba5414807' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>10v</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>name :</span></dt><dd>10 metre V wind component</dd><dt><span>cfVarName :</span></dt><dd>v10</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([-4.95269585, -6.24468803, -6.76226616, ..., -3.0894146 ,\n",
+ " -4.95855522, -6.48296928])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2d</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>259.5 259.7 259.9 ... 219.4 219.4</div><input id='attrs-1e2905d6-59fe-469c-a924-02c7838d24dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e2905d6-59fe-469c-a924-02c7838d24dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2232d9f7-bdbc-4dad-9191-33dc6876e166' class='xr-var-data-in' type='checkbox'><label for='data-2232d9f7-bdbc-4dad-9191-33dc6876e166' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>2d</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>2 metre dewpoint temperature</dd><dt><span>cfVarName :</span></dt><dd>d2m</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([259.50054932, 259.68609619, 259.87750244, ..., 219.35797119,\n",
+ " 219.38922119, 219.42242432])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2t</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>261.9 262.1 262.3 ... 223.4 223.5</div><input id='attrs-b4da1188-ddcc-4a16-85e0-b32100a38c49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4da1188-ddcc-4a16-85e0-b32100a38c49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40b9699a-2d50-46ef-b9e0-770754036ba0' class='xr-var-data-in' type='checkbox'><label for='data-40b9699a-2d50-46ef-b9e0-770754036ba0' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>2t</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>2 metre temperature</dd><dt><span>cfVarName :</span></dt><dd>t2m</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([261.93292236, 262.12628174, 262.30987549, ..., 223.32745361,\n",
+ " 223.41534424, 223.49542236])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>asn</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.88 0.88 0.88 ... 0.85 0.85 0.85</div><input id='attrs-c7abfc35-4b7f-4963-b71b-61265a883057' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7abfc35-4b7f-4963-b71b-61265a883057' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58a71863-f75a-4a19-804c-1dc7c0b929e8' class='xr-var-data-in' type='checkbox'><label for='data-58a71863-f75a-4a19-804c-1dc7c0b929e8' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>asn</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd><dt><span>name :</span></dt><dd>Snow albedo</dd><dt><span>cfVarName :</span></dt><dd>asn</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([0.88000059, 0.88000059, 0.88000059, ..., 0.85000181, 0.85000181,\n",
+ " 0.85000181])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>blh</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>212.9 220.9 229.4 ... 147.6 150.0</div><input id='attrs-305a4753-5a9b-420e-92a4-917cf9fcc184' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-305a4753-5a9b-420e-92a4-917cf9fcc184' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9106099-b620-4d9b-99c7-89590fe81b85' class='xr-var-data-in' type='checkbox'><label for='data-f9106099-b620-4d9b-99c7-89590fe81b85' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>blh</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>name :</span></dt><dd>Boundary layer height</dd><dt><span>cfVarName :</span></dt><dd>blh</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([212.86473846, 220.92723846, 229.42723846, ..., 145.61473846,\n",
+ " 147.55223846, 149.98973846])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ci</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9867 0.9805 ... 9.999e+03</div><input id='attrs-4fcd28f8-8e92-40a1-8f9c-b32327bf1904' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fcd28f8-8e92-40a1-8f9c-b32327bf1904' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8581b090-2d2b-4b5d-a9e7-3cf8062b85bf' class='xr-var-data-in' type='checkbox'><label for='data-8581b090-2d2b-4b5d-a9e7-3cf8062b85bf' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>ci</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd><dt><span>name :</span></dt><dd>Sea ice area fraction</dd><dt><span>cfName :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>cfVarName :</span></dt><dd>siconc</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([9.86663818e-01, 9.80499268e-01, 9.71282959e-01, ...,\n",
+ " 9.99900000e+03, 9.99900000e+03, 9.99900000e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fal</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7554 0.751 0.7448 ... 0.85 0.85</div><input id='attrs-61d8526d-5192-45d0-b592-2bc0c46ac8db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61d8526d-5192-45d0-b592-2bc0c46ac8db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b38b4127-2f9a-4d5b-ba1d-76b0b1204471' class='xr-var-data-in' type='checkbox'><label for='data-b38b4127-2f9a-4d5b-ba1d-76b0b1204471' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>fal</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd><dt><span>name :</span></dt><dd>Forecast albedo</dd><dt><span>cfVarName :</span></dt><dd>fal</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([0.7554478 , 0.75103801, 0.74481243, ..., 0.85000652, 0.85000652,\n",
+ " 0.85000652])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>flsr</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.94 -6.954 ... -8.948 -8.948</div><input id='attrs-858c2744-a626-4bb9-acf0-b39820080540' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-858c2744-a626-4bb9-acf0-b39820080540' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-492aa039-c68c-4aa5-81ba-315d0999ec3b' class='xr-var-data-in' type='checkbox'><label for='data-492aa039-c68c-4aa5-81ba-315d0999ec3b' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>flsr</dd><dt><span>units :</span></dt><dd>~</dd><dt><span>name :</span></dt><dd>Forecast logarithm of surface roughness for heat</dd><dt><span>cfVarName :</span></dt><dd>flsr</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([-6.94027901, -6.95443916, -6.97494698, ..., -8.94784737,\n",
+ " -8.94784737, -8.94784737])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fsr</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0009742 0.0009633 ... 0.0013</div><input id='attrs-20a346a4-cdce-45f9-b669-6edf026084ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20a346a4-cdce-45f9-b669-6edf026084ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac42cf72-b9d5-4855-b67f-32f3ea07f55a' class='xr-var-data-in' type='checkbox'><label for='data-ac42cf72-b9d5-4855-b67f-32f3ea07f55a' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>fsr</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>name :</span></dt><dd>Forecast surface roughness</dd><dt><span>cfVarName :</span></dt><dd>fsr</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([0.00097416, 0.00096331, 0.00094829, ..., 0.00129996, 0.00129996,\n",
+ " 0.00129996])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hcc</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6475 0.6383 ... 0.7783 0.7842</div><input id='attrs-2ce92f55-59df-4a09-9009-aa20fc47f4a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ce92f55-59df-4a09-9009-aa20fc47f4a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf82f95e-12c6-4464-a652-723c4137bb65' class='xr-var-data-in' type='checkbox'><label for='data-cf82f95e-12c6-4464-a652-723c4137bb65' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>hcc</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd><dt><span>name :</span></dt><dd>High cloud cover</dd><dt><span>cfVarName :</span></dt><dd>hcc</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([0.64749146, 0.63833618, 0.63415527, ..., 0.78167725, 0.77832031,\n",
+ " 0.78417969])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ie</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.075e-07 -9.192e-07 ... 1.536e-07</div><input id='attrs-75ef87f2-2c45-4172-bf99-619a79719df0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75ef87f2-2c45-4172-bf99-619a79719df0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fccaf6c2-f6dc-44c8-ba5a-5b72e42bf5ea' class='xr-var-data-in' type='checkbox'><label for='data-fccaf6c2-f6dc-44c8-ba5a-5b72e42bf5ea' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>ie</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd><dt><span>name :</span></dt><dd>Instantaneous moisture flux</dd><dt><span>cfVarName :</span></dt><dd>ie</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([-8.07485776e-07, -9.19244485e-07, -7.85134034e-07, ...,\n",
+ " 1.38737960e-07, 1.46188540e-07, 1.53639121e-07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>istl1</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>261.6 261.7 261.8 ... 271.5 271.5</div><input id='attrs-e8063011-11bc-4746-bc03-ad7bcc652f7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8063011-11bc-4746-bc03-ad7bcc652f7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acb41263-0c7a-4def-8a61-6cc1b960f2aa' class='xr-var-data-in' type='checkbox'><label for='data-acb41263-0c7a-4def-8a61-6cc1b960f2aa' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>istl1</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>Ice temperature layer 1</dd><dt><span>cfVarName :</span></dt><dd>istl1</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([261.5629425 , 261.71577454, 261.80366516, ..., 271.45991516,\n",
+ " 271.45991516, 271.45991516])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>istl2</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>262.6 262.7 262.8 ... 271.5 271.5</div><input id='attrs-3bc2aa35-f623-419b-a75e-66c3517183fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bc2aa35-f623-419b-a75e-66c3517183fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65e344d7-8e8c-461a-bade-da70f2682a80' class='xr-var-data-in' type='checkbox'><label for='data-65e344d7-8e8c-461a-bade-da70f2682a80' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>istl2</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>Ice temperature layer 2</dd><dt><span>cfVarName :</span></dt><dd>istl2</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([262.56436157, 262.68643188, 262.77432251, ..., 271.45986938,\n",
+ " 271.45986938, 271.45986938])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>istl3</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>266.1 266.2 266.2 ... 271.5 271.5</div><input id='attrs-93af5420-7c84-4a14-9653-cd9a788746b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93af5420-7c84-4a14-9653-cd9a788746b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fd05904-80c4-4c6b-b437-8f561d8a7b7e' class='xr-var-data-in' type='checkbox'><label for='data-7fd05904-80c4-4c6b-b437-8f561d8a7b7e' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>istl3</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>Ice temperature layer 3</dd><dt><span>cfVarName :</span></dt><dd>istl3</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([266.10595703, 266.16308594, 266.20361328, ..., 271.45996094,\n",
+ " 271.45996094, 271.45996094])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>istl4</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>269.2 269.3 269.3 ... 271.5 271.5</div><input id='attrs-7a98bff1-1507-40b5-90ad-2936aa2523ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a98bff1-1507-40b5-90ad-2936aa2523ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97bc2efa-795f-4914-9166-bf1c8bd429e8' class='xr-var-data-in' type='checkbox'><label for='data-97bc2efa-795f-4914-9166-bf1c8bd429e8' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>istl4</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>Ice temperature layer 4</dd><dt><span>cfVarName :</span></dt><dd>istl4</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([269.24951172, 269.27514648, 269.28955078, ..., 271.45996094,\n",
+ " 271.45996094, 271.45996094])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lcc</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4417 0.4375 ... 0.9775 0.9871</div><input id='attrs-b22832d9-25b2-4d9d-80bc-14ee7e1ea590' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b22832d9-25b2-4d9d-80bc-14ee7e1ea590' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51e13355-d3a1-4ac7-8d5c-4e2e3cd95a5c' class='xr-var-data-in' type='checkbox'><label for='data-51e13355-d3a1-4ac7-8d5c-4e2e3cd95a5c' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>lcc</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd><dt><span>name :</span></dt><dd>Low cloud cover</dd><dt><span>cfVarName :</span></dt><dd>lcc</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([0.44168091, 0.4375 , 0.4354248 , ..., 0.94833374, 0.97750854,\n",
+ " 0.98709106])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mcc</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8592 0.8417 ... 0.7696 0.7604</div><input id='attrs-8066c24f-fa17-4474-86d2-e267d180345e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8066c24f-fa17-4474-86d2-e267d180345e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adfef033-1f3d-4930-826a-46d57f812f87' class='xr-var-data-in' type='checkbox'><label for='data-adfef033-1f3d-4930-826a-46d57f812f87' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>mcc</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd><dt><span>name :</span></dt><dd>Medium cloud cover</dd><dt><span>cfVarName :</span></dt><dd>mcc</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([0.85916138, 0.8416748 , 0.85043335, ..., 0.78167725, 0.76959229,\n",
+ " 0.76040649])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>msl</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.018e+05 1.018e+05 ... 1.022e+05</div><input id='attrs-3d95651f-3417-4a96-a873-9249294e8d72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d95651f-3417-4a96-a873-9249294e8d72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8109695-a2c3-47d4-82db-4fe31755f0cb' class='xr-var-data-in' type='checkbox'><label for='data-a8109695-a2c3-47d4-82db-4fe31755f0cb' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>msl</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>name :</span></dt><dd>Mean sea level pressure</dd><dt><span>cfName :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>cfVarName :</span></dt><dd>msl</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([101790.5 , 101774.5 , 101757.75, ..., 102205.5 , 102192. ,\n",
+ " 102179. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsn</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>100.0 100.0 100.0 ... 300.0 300.0</div><input id='attrs-b3d19f67-0ae0-42a8-94f0-675d32b45b21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3d19f67-0ae0-42a8-94f0-675d32b45b21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdc9c832-9d72-4585-86f7-2e4f384dbeea' class='xr-var-data-in' type='checkbox'><label for='data-fdc9c832-9d72-4585-86f7-2e4f384dbeea' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>rsn</dd><dt><span>units :</span></dt><dd>kg m**-3</dd><dt><span>name :</span></dt><dd>Snow density</dd><dt><span>cfVarName :</span></dt><dd>rsn</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([100., 100., 100., ..., 300., 300., 300.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sd</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 10.0 10.0 10.0</div><input id='attrs-a58a3015-37dc-414d-b159-2e8f580d6009' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a58a3015-37dc-414d-b159-2e8f580d6009' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1533ad19-1db3-4c55-9315-5fe13dc937cb' class='xr-var-data-in' type='checkbox'><label for='data-1533ad19-1db3-4c55-9315-5fe13dc937cb' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>sd</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd><dt><span>name :</span></dt><dd>Snow depth</dd><dt><span>cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>cfVarName :</span></dt><dd>sd</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 0., 0., ..., 10., 10., 10.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skt</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>261.4 261.7 261.9 ... 221.9 222.0</div><input id='attrs-eb2795d6-d3c3-44ba-8d8e-186fb94899c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb2795d6-d3c3-44ba-8d8e-186fb94899c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0213053-ff0c-422c-8115-109645c70382' class='xr-var-data-in' type='checkbox'><label for='data-f0213053-ff0c-422c-8115-109645c70382' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>skt</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>Skin temperature</dd><dt><span>cfVarName :</span></dt><dd>skt</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([261.41456604, 261.70753479, 261.90480042, ..., 221.98878479,\n",
+ " 221.93800354, 222.04542542])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sp</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.018e+05 1.018e+05 ... 6.936e+04</div><input id='attrs-831d2b4f-71b1-4aaf-9167-afbededb4436' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-831d2b4f-71b1-4aaf-9167-afbededb4436' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae5ad534-f544-4da7-9d5e-21249ffcfb39' class='xr-var-data-in' type='checkbox'><label for='data-ae5ad534-f544-4da7-9d5e-21249ffcfb39' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>sp</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>name :</span></dt><dd>Surface pressure</dd><dt><span>cfName :</span></dt><dd>surface_air_pressure</dd><dt><span>cfVarName :</span></dt><dd>sp</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([101783.453125, 101765.453125, 101750.453125, ..., 69445.453125,\n",
+ " 69429.453125, 69359.453125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>src</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-66352e98-729b-4bd5-ac1d-62dd47f3bba4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66352e98-729b-4bd5-ac1d-62dd47f3bba4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ccb6755-62c5-478f-be10-14b3bbbb6ac4' class='xr-var-data-in' type='checkbox'><label for='data-2ccb6755-62c5-478f-be10-14b3bbbb6ac4' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>src</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd><dt><span>name :</span></dt><dd>Skin reservoir content</dd><dt><span>cfVarName :</span></dt><dd>src</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., ..., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>271.5 271.5 ... 9.999e+03 9.999e+03</div><input id='attrs-bd54fb26-f671-439e-b2fa-f1cfe02fd463' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd54fb26-f671-439e-b2fa-f1cfe02fd463' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78bb9443-0462-4813-ab78-ca3f953129fb' class='xr-var-data-in' type='checkbox'><label for='data-78bb9443-0462-4813-ab78-ca3f953129fb' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>sst</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>Sea surface temperature</dd><dt><span>cfVarName :</span></dt><dd>sst</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([ 271.45996094, 271.45996094, 271.45996094, ..., 9999. ,\n",
+ " 9999. , 9999. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stl1</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>261.7 261.9 262.1 ... 224.0 224.1</div><input id='attrs-6cf6a698-2ff5-4332-bf75-99771db89eb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cf6a698-2ff5-4332-bf75-99771db89eb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98cb1d38-f7db-4dad-952a-f6952d35fe1a' class='xr-var-data-in' type='checkbox'><label for='data-98cb1d38-f7db-4dad-952a-f6952d35fe1a' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>stl1</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>Soil temperature level 1</dd><dt><span>cfName :</span></dt><dd>surface_temperature</dd><dt><span>cfVarName :</span></dt><dd>stl1</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([261.69343567, 261.90437317, 262.08015442, ..., 223.81452942,\n",
+ " 224.02937317, 224.13288879])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stl2</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>262.7 262.9 263.0 ... 224.2 224.3</div><input id='attrs-77c34e7c-5320-4a8f-9e87-5418a0cadcef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77c34e7c-5320-4a8f-9e87-5418a0cadcef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ea6349f-821a-40c2-9bf3-817e4b51d46e' class='xr-var-data-in' type='checkbox'><label for='data-9ea6349f-821a-40c2-9bf3-817e4b51d46e' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>stl2</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>Soil temperature level 2</dd><dt><span>cfVarName :</span></dt><dd>stl2</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([262.69242859, 262.86820984, 263.03031921, ..., 223.94047546,\n",
+ " 224.15531921, 224.26664734])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stl3</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>266.2 266.3 266.4 ... 224.6 224.7</div><input id='attrs-d443e525-4b82-4e9c-82b6-5a895a7ae6ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d443e525-4b82-4e9c-82b6-5a895a7ae6ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20053e2d-825d-45c2-95c8-50cf15ca9370' class='xr-var-data-in' type='checkbox'><label for='data-20053e2d-825d-45c2-95c8-50cf15ca9370' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>stl3</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>Soil temperature level 3</dd><dt><span>cfVarName :</span></dt><dd>stl3</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([266.18309021, 266.27293396, 266.35887146, ..., 224.39207458,\n",
+ " 224.59715271, 224.72410583])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stl4</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>261.6 261.9 262.1 ... 225.8 225.9</div><input id='attrs-8f561c35-e413-4a96-94ef-2fb835fceb43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f561c35-e413-4a96-94ef-2fb835fceb43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98bf9ceb-dbd1-4242-8440-91b23f4b493f' class='xr-var-data-in' type='checkbox'><label for='data-98bf9ceb-dbd1-4242-8440-91b23f4b493f' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>stl4</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>Soil temperature level 4</dd><dt><span>cfVarName :</span></dt><dd>stl4</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([261.64779663, 261.92123413, 262.11068726, ..., 225.63021851,\n",
+ " 225.80404663, 225.93295288])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swvl1</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.89e-06 7.89e-06 ... 0.3186 0.292</div><input id='attrs-74babf61-e8b0-4f6b-a99e-38a7694576ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74babf61-e8b0-4f6b-a99e-38a7694576ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02a6ccb2-298d-4de2-90e1-b726fb32ada4' class='xr-var-data-in' type='checkbox'><label for='data-02a6ccb2-298d-4de2-90e1-b726fb32ada4' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>swvl1</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd><dt><span>name :</span></dt><dd>Volumetric soil water layer 1</dd><dt><span>cfVarName :</span></dt><dd>swvl1</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([7.89016485e-06, 7.89016485e-06, 7.89016485e-06, ...,\n",
+ " 2.73140214e-01, 3.18626665e-01, 2.92000078e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swvl2</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.562e-06 2.562e-06 ... 0.2096</div><input id='attrs-62904721-4f30-4be6-8456-06dc84467ff1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62904721-4f30-4be6-8456-06dc84467ff1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43fdd5de-e990-4d25-aa88-a67c6327d556' class='xr-var-data-in' type='checkbox'><label for='data-43fdd5de-e990-4d25-aa88-a67c6327d556' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>swvl2</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd><dt><span>name :</span></dt><dd>Volumetric soil water layer 2</dd><dt><span>cfVarName :</span></dt><dd>swvl2</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([2.56160274e-06, 2.56160274e-06, 2.56160274e-06, ...,\n",
+ " 2.35308348e-01, 2.52566038e-01, 2.09566771e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swvl3</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.257e-06 -3.257e-06 ... 0.2521</div><input id='attrs-72d6072f-f219-40e1-9faa-f5638cde4e0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72d6072f-f219-40e1-9faa-f5638cde4e0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d8d6762-820a-487e-9bcd-c8cd9aff3af8' class='xr-var-data-in' type='checkbox'><label for='data-4d8d6762-820a-487e-9bcd-c8cd9aff3af8' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>swvl3</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd><dt><span>name :</span></dt><dd>Volumetric soil water layer 3</dd><dt><span>cfVarName :</span></dt><dd>swvl3</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([-3.25660221e-06, -3.25660221e-06, -3.25660221e-06, ...,\n",
+ " 3.07873330e-01, 3.05462442e-01, 2.52056680e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swvl4</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.1602 0.1602</div><input id='attrs-0aada52a-fc44-49cf-90e4-e2254c638e31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0aada52a-fc44-49cf-90e4-e2254c638e31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf62be3f-f61d-48a9-9538-4fa13a33be3b' class='xr-var-data-in' type='checkbox'><label for='data-bf62be3f-f61d-48a9-9538-4fa13a33be3b' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>swvl4</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd><dt><span>name :</span></dt><dd>Volumetric soil water layer 4</dd><dt><span>cfVarName :</span></dt><dd>swvl4</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([0. , 0. , 0. , ..., 0.16020203, 0.16020203,\n",
+ " 0.16020203])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcc</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9721 0.9683 ... 0.9838 0.9871</div><input id='attrs-8f44ad8e-9dbd-42e1-b47a-c520855ebda6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f44ad8e-9dbd-42e1-b47a-c520855ebda6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cbeb6d9-ec1f-42e1-95cc-f272b28b6442' class='xr-var-data-in' type='checkbox'><label for='data-4cbeb6d9-ec1f-42e1-95cc-f272b28b6442' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>tcc</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd><dt><span>name :</span></dt><dd>Total cloud cover</dd><dt><span>cfName :</span></dt><dd>cloud_area_fraction</dd><dt><span>cfVarName :</span></dt><dd>tcc</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([0.97207642, 0.96832275, 0.9666748 , ..., 0.98126221, 0.98376465,\n",
+ " 0.98709106])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tco3</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.006883 0.006877 ... 0.002952</div><input id='attrs-0e159158-333b-4350-b448-a157f0259349' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e159158-333b-4350-b448-a157f0259349' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fe78bd6-e6cf-4696-9e5a-87bc2741f0fc' class='xr-var-data-in' type='checkbox'><label for='data-7fe78bd6-e6cf-4696-9e5a-87bc2741f0fc' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>tco3</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>name :</span></dt><dd>Total column ozone</dd><dt><span>cfName :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>cfVarName :</span></dt><dd>tco3</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([0.00688299, 0.00687715, 0.00687333, ..., 0.00295564, 0.0029529 ,\n",
+ " 0.00295159])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcw</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.733 5.772 5.815 ... 0.4126 0.4126</div><input id='attrs-7f125231-924c-4671-9010-f3ac43519653' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f125231-924c-4671-9010-f3ac43519653' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44eb75d4-48cf-44c3-9654-4169012caeb8' class='xr-var-data-in' type='checkbox'><label for='data-44eb75d4-48cf-44c3-9654-4169012caeb8' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>tcw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>name :</span></dt><dd>Total column water</dd><dt><span>cfVarName :</span></dt><dd>tcw</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([5.73287004, 5.77193254, 5.81490129, ..., 0.41255754, 0.41255754,\n",
+ " 0.41255754])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcwv</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.655 5.692 5.733 ... 0.4008 0.4008</div><input id='attrs-f57ec620-5b44-47b2-85a3-996758b81501' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f57ec620-5b44-47b2-85a3-996758b81501' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abc6a0a7-7859-4455-b367-479ec1a386ff' class='xr-var-data-in' type='checkbox'><label for='data-abc6a0a7-7859-4455-b367-479ec1a386ff' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>tcwv</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>cfVarName :</span></dt><dd>tcwv</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([5.65474206, 5.69185144, 5.73286706, ..., 0.39888269, 0.40083581,\n",
+ " 0.40083581])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tsn</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>261.7 261.9 262.1 ... 221.3 221.3</div><input id='attrs-87aeab5b-b583-491a-94b7-5934e573270e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87aeab5b-b583-491a-94b7-5934e573270e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-700c1629-7429-4a82-a2ef-4b46e7aaebe0' class='xr-var-data-in' type='checkbox'><label for='data-700c1629-7429-4a82-a2ef-4b46e7aaebe0' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>tsn</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>Temperature of snow layer</dd><dt><span>cfName :</span></dt><dd>temperature_in_surface_snow</dd><dt><span>cfVarName :</span></dt><dd>tsn</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><pre>array([261.6950531 , 261.90403748, 262.07981873, ..., 221.15013123,\n",
+ " 221.2809906 , 221.2888031 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a19777b-e7ff-4b0d-b0b1-c00675447c9e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3a19777b-e7ff-4b0d-b0b1-c00675447c9e' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5d53ad39-76ee-470a-8a44-eeeb76497100' class='xr-section-summary-in' type='checkbox' ><label for='section-5d53ad39-76ee-470a-8a44-eeeb76497100' class='xr-section-summary' >Attributes: <span>(22)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>project :</span></dt><dd>ECMWF Re-Analysis</dd><dt><span>project_id :</span></dt><dd>ERA</dd><dt><span>institution_id :</span></dt><dd>ECMWF-DKRZ</dd><dt><span>institution :</span></dt><dd>Data from European Centre for Medium-Range Weather Forecasts (ECMWF) distributed by the Germen Climate Computing Center (DKRZ)</dd><dt><span>source_id :</span></dt><dd>IFS</dd><dt><span>source :</span></dt><dd>ECMWF Integrated Forecast System (IFS) CY41R2</dd><dt><span>experiment_id :</span></dt><dd>ERA5</dd><dt><span>simulation_id :</span></dt><dd>ERA5</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>frequency :</span></dt><dd>daily</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>grid_id :</span></dt><dd>N320</dd><dt><span>grid_type :</span></dt><dd>gaussian_reduced</dd><dt><span>resolution :</span></dt><dd>0.28125 deg</dd><dt><span>level_type :</span></dt><dd>surface</dd><dt><span>data_type :</span></dt><dd>analysis</dd><dt><span>format :</span></dt><dd>kerchunk</dd><dt><span>product :</span></dt><dd>reanalysis</dd><dt><span>responsible_persons :</span></dt><dd>Angelika Heil, Fabian Wachsmann</dd><dt><span>title :</span></dt><dd>The DKRZ ERA5 data pool. Generated using Copernicus Climate Change Service information [2024]. Data distribution by the German Climate Computing Center (DKRZ). Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains</dd><dt><span>license :</span></dt><dd>The ERA5 data are published with the Copernicus Product License with the necessity of attribution. https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products</dd><dt><span>references :</span></dt><dd>Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñozâ€Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R.J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., Thépaut, J-N. (2017): Complete ERA5 from 1940: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service (C3S) Data Store (CDS). DOI: 10.24381/cds.143582cf</dd></dl></div></li></ul></div></div>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset> Size: 182MB\n",
+ "Dimensions: (cell: 542080)\n",
+ "Coordinates:\n",
+ " lat (cell) float64 4MB 89.78 89.78 89.78 89.78 ... -89.78 -89.78 -89.78\n",
+ " lon (cell) float64 4MB nan 20.0 40.0 60.0 ... 280.0 300.0 320.0 340.0\n",
+ " time datetime64[ns] 8B 2024-09-30T11:30:00\n",
+ "Dimensions without coordinates: cell\n",
+ "Data variables: (12/40)\n",
+ " 100u (cell) float64 4MB 5.838 2.636 -0.8782 ... -8.296 -6.063 -2.922\n",
+ " 100v (cell) float64 4MB -8.215 -9.827 -10.22 ... -6.401 -8.995 -10.81\n",
+ " 10u (cell) float64 4MB 4.36 2.381 0.09148 ... -5.739 -4.711 -3.002\n",
+ " 10v (cell) float64 4MB -4.953 -6.245 -6.762 ... -3.089 -4.959 -6.483\n",
+ " 2d (cell) float64 4MB 259.5 259.7 259.9 260.1 ... 219.4 219.4 219.4\n",
+ " 2t (cell) float64 4MB 261.9 262.1 262.3 262.5 ... 223.3 223.4 223.5\n",
+ " ... ...\n",
+ " swvl4 (cell) float64 4MB 0.0 0.0 0.0 0.0 ... 0.1602 0.1602 0.1602 0.1602\n",
+ " tcc (cell) float64 4MB 0.9721 0.9683 0.9667 ... 0.9813 0.9838 0.9871\n",
+ " tco3 (cell) float64 4MB 0.006883 0.006877 0.006873 ... 0.002953 0.002952\n",
+ " tcw (cell) float64 4MB 5.733 5.772 5.815 5.877 ... 0.4126 0.4126 0.4126\n",
+ " tcwv (cell) float64 4MB 5.655 5.692 5.733 5.793 ... 0.3989 0.4008 0.4008\n",
+ " tsn (cell) float64 4MB 261.7 261.9 262.1 262.4 ... 221.2 221.3 221.3\n",
+ "Attributes: (12/22)\n",
+ " project: ECMWF Re-Analysis\n",
+ " project_id: ERA\n",
+ " institution_id: ECMWF-DKRZ\n",
+ " institution: Data from European Centre for Medium-Range Weather ...\n",
+ " source_id: IFS\n",
+ " source: ECMWF Integrated Forecast System (IFS) CY41R2\n",
+ " ... ...\n",
+ " format: kerchunk\n",
+ " product: reanalysis\n",
+ " responsible_persons: Angelika Heil, Fabian Wachsmann\n",
+ " title: The DKRZ ERA5 data pool. Generated using Copernicus...\n",
+ " license: The ERA5 data are published with the Copernicus Pro...\n",
+ " references: Hersbach, H., Bell, B., Berrisford, P., Hirahara, S..."
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds.isel(time=-1).load()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2887ced5-7341-49e0-b0f0-511d68f55c74",
+ "metadata": {},
+ "source": [
+ "**Intake**\n",
+ "\n",
+ "The default **method** for intake datasets is *kerchunk* i.e. the datasets are loaded through the kerchunk API per default."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "5fb665bb-fdd1-47be-81ce-51d71506533c",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "https://l40038.lvt.dkrz.de:9010/intake.yaml\n"
+ ]
+ }
+ ],
+ "source": [
+ "intake_url='/'.join([hosturl,\"intake.yaml\"])\n",
+ "print(intake_url)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "54d805e3-6e73-46bd-838e-b8d61ecec2d6",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['era5']"
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "import intake\n",
+ "cat=intake.open_catalog(\n",
+ " intake_url,\n",
+ " storage_options=storage_options\n",
+ ")\n",
+ "list(cat)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "62eb5ed4-9635-4e0d-822d-38ca5aad386f",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/work/bm0021/conda-envs/cloudify/lib/python3.11/site-packages/intake_xarray/base.py:21: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n",
+ " 'dims': dict(self._ds.dims),\n"
+ ]
+ },
+ {
+ "data": {
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+ " 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> Size: 5TB\n",
+ "Dimensions: (time: 30955, cell: 542080)\n",
+ "Coordinates:\n",
+ " lat (cell) float64 4MB dask.array<chunksize=(542080,), meta=np.ndarray>\n",
+ " lon (cell) float64 4MB dask.array<chunksize=(542080,), meta=np.ndarray>\n",
+ " * time (time) datetime64[ns] 248kB 1940-01-01T11:30:00 ... 2024-09-30T1...\n",
+ "Dimensions without coordinates: cell\n",
+ "Data variables: (12/40)\n",
+ " 100u (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " 100v (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " 10u (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " 10v (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " 2d (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " 2t (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " ... ...\n",
+ " swvl4 (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " tcc (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " tco3 (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " tcw (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " tcwv (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ " tsn (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
+ "Attributes: (12/22)\n",
+ " project: ECMWF Re-Analysis\n",
+ " project_id: ERA\n",
+ " institution_id: ECMWF-DKRZ\n",
+ " institution: Data from European Centre for Medium-Range Weather ...\n",
+ " source_id: IFS\n",
+ " source: ECMWF Integrated Forecast System (IFS) CY41R2\n",
+ " ... ...\n",
+ " format: kerchunk\n",
+ " product: reanalysis\n",
+ " responsible_persons: Angelika Heil, Fabian Wachsmann\n",
+ " title: The DKRZ ERA5 data pool. Generated using Copernicus...\n",
+ " license: The ERA5 data are published with the Copernicus Pro...\n",
+ " references: Hersbach, H., Bell, B., Berrisford, P., Hirahara, S...</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-1a564b7d-4d51-4831-8f4e-505c968bf66f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1a564b7d-4d51-4831-8f4e-505c968bf66f' 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>: 30955</li><li><span>cell</span>: 542080</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6e03ee40-4c64-41e0-8104-280d725c5958' class='xr-section-summary-in' type='checkbox' checked><label for='section-6e03ee40-4c64-41e0-8104-280d725c5958' 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>lat</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(542080,), meta=np.ndarray></div><input id='attrs-18c1a2d0-a6bd-4624-b872-de41b2c076a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18c1a2d0-a6bd-4624-b872-de41b2c076a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d9d858b-d4ae-40ac-9423-cbcfd443965c' class='xr-var-data-in' type='checkbox'><label for='data-7d9d858b-d4ae-40ac-9423-cbcfd443965c' 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>source :</span></dt><dd>../../../../../pool/data/ERA5/E5/sf/an/1M/167/E5sf00_1M_1940_167.grb</dd><dt><span>filter_by_keys :</span></dt><dd>{}</dd><dt><span>encode_cf :</span></dt><dd>['parameter', 'time', 'geography', 'vertical']</dd><dt><span>original_shape :</span></dt><dd>[542080]</dd><dt><span>dtype :</span></dt><dd>float64</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> 4.14 MiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (542080,) </td>\n",
+ " <td> (542080,) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ " </table>\n",
+ " </td>\n",
+ " <td>\n",
+ " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+ "\n",
+ " <!-- Horizontal lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+ " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
+ "\n",
+ " <!-- Vertical lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
+ " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
+ "\n",
+ " <!-- Colored Rectangle -->\n",
+ " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+ "\n",
+ " <!-- Text -->\n",
+ " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >542080</text>\n",
+ " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(542080,), meta=np.ndarray></div><input id='attrs-79f53b00-11e2-440e-a8ba-cc86eb33cc18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79f53b00-11e2-440e-a8ba-cc86eb33cc18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b10f72c5-906f-45ad-b0e6-5a3bf4fa12d0' class='xr-var-data-in' type='checkbox'><label for='data-b10f72c5-906f-45ad-b0e6-5a3bf4fa12d0' 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>source :</span></dt><dd>../../../../../pool/data/ERA5/E5/sf/an/1M/167/E5sf00_1M_1940_167.grb</dd><dt><span>filter_by_keys :</span></dt><dd>{}</dd><dt><span>encode_cf :</span></dt><dd>['parameter', 'time', 'geography', 'vertical']</dd><dt><span>original_shape :</span></dt><dd>[542080]</dd><dt><span>dtype :</span></dt><dd>float64</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> 4.14 MiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (542080,) </td>\n",
+ " <td> (542080,) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ " </table>\n",
+ " </td>\n",
+ " <td>\n",
+ " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+ "\n",
+ " <!-- Horizontal lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+ " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
+ "\n",
+ " <!-- Vertical lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
+ " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
+ "\n",
+ " <!-- Colored Rectangle -->\n",
+ " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+ "\n",
+ " <!-- Text -->\n",
+ " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >542080</text>\n",
+ " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></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'>1940-01-01T11:30:00 ... 2024-09-...</div><input id='attrs-50c23167-c376-4213-85f8-357703fbd1de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50c23167-c376-4213-85f8-357703fbd1de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7ee3ae4-afe2-4929-8093-19baa017494d' class='xr-var-data-in' type='checkbox'><label for='data-f7ee3ae4-afe2-4929-8093-19baa017494d' 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>_FillValue :</span></dt><dd>1970-01-01T00:00:00.000000000</dd></dl></div><div class='xr-var-data'><pre>array(['1940-01-01T11:30:00.000000000', '1940-01-02T11:30:00.000000000',\n",
+ " '1940-01-03T11:30:00.000000000', ..., '2024-09-28T11:30:00.000000000',\n",
+ " '2024-09-29T11:30:00.000000000', '2024-09-30T11:30:00.000000000'],\n",
+ " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8bc944d4-189e-483e-a82b-f9c2af0a6c50' class='xr-section-summary-in' type='checkbox' ><label for='section-8bc944d4-189e-483e-a82b-f9c2af0a6c50' class='xr-section-summary' >Data variables: <span>(40)</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>100u</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-6a838e2b-fd16-4375-bdba-62bce4c7a95b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a838e2b-fd16-4375-bdba-62bce4c7a95b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbdef848-30d4-44c3-a7a4-cca5a36cfc47' class='xr-var-data-in' type='checkbox'><label for='data-cbdef848-30d4-44c3-a7a4-cca5a36cfc47' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>100u</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>name :</span></dt><dd>100 metre U wind component</dd><dt><span>cfVarName :</span></dt><dd>u100</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 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",
+ " <td>\n",
+ " <svg width=\"170\" height=\"85\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>100v</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-efa6f249-70c7-4761-b07c-d10f95e10b8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efa6f249-70c7-4761-b07c-d10f95e10b8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a3ad59a-6706-46d6-8630-ba9a1ddbd3ef' class='xr-var-data-in' type='checkbox'><label for='data-3a3ad59a-6706-46d6-8630-ba9a1ddbd3ef' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>100v</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>name :</span></dt><dd>100 metre V wind component</dd><dt><span>cfVarName :</span></dt><dd>v100</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 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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+ " </tbody>\n",
+ " </table>\n",
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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10u</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-5f1f095c-8b05-414a-ba76-4db60aa54a59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f1f095c-8b05-414a-ba76-4db60aa54a59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f643584e-50c1-46a7-94a1-a65eb7df1140' class='xr-var-data-in' type='checkbox'><label for='data-f643584e-50c1-46a7-94a1-a65eb7df1140' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>10u</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>name :</span></dt><dd>10 metre U wind component</dd><dt><span>cfVarName :</span></dt><dd>u10</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 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",
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+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10v</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-9aaf0b85-a827-4863-b6ad-3af9bd61323c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9aaf0b85-a827-4863-b6ad-3af9bd61323c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7734e6e5-215b-4c14-8ad6-ca58c9395a2b' class='xr-var-data-in' type='checkbox'><label for='data-7734e6e5-215b-4c14-8ad6-ca58c9395a2b' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>10v</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>name :</span></dt><dd>10 metre V wind component</dd><dt><span>cfVarName :</span></dt><dd>v10</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
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+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 chunks in 2 graph layers </td>\n",
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+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+ " <tr>\n",
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+ " <table style=\"border-collapse: collapse;\">\n",
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+ " <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",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 125.02 GiB </td>\n",
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+ " <tr>\n",
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+ " <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",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
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+ " <td> 125.02 GiB </td>\n",
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+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
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+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+ " <tr>\n",
+ " <td>\n",
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+ " <tbody>\n",
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+ " <th> Bytes </th>\n",
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+ " <tr>\n",
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+ " <thead>\n",
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+ " <tr>\n",
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+ " <thead>\n",
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+ " <tr>\n",
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+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
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+ " </thead>\n",
+ " <tbody>\n",
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+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
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+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
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+ " <tr>\n",
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+ " <table style=\"border-collapse: collapse;\">\n",
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+ " <td> 125.02 GiB </td>\n",
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+ " <tr>\n",
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+ " <table style=\"border-collapse: collapse;\">\n",
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+ " <td>\n",
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+ " <thead>\n",
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+ " </tr>\n",
+ " </thead>\n",
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+ " <tr>\n",
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+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <td> </td>\n",
+ " <th> Array </th>\n",
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+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 125.02 GiB </td>\n",
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+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
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+ " <th> Shape </th>\n",
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+ " <td> (1, 542080) </td>\n",
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+ " <td colspan=\"2\"> 30955 chunks in 2 graph layers </td>\n",
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+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+ " <tr>\n",
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+ " <tbody>\n",
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+ " <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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
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+ " <td colspan=\"2\"> 30955 chunks in 2 graph layers </td>\n",
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+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+ " </td>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swvl4</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-68edb291-9ede-4435-bb1b-399991edf58a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68edb291-9ede-4435-bb1b-399991edf58a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66c0d500-7514-4de8-8bc5-d47311ffb919' class='xr-var-data-in' type='checkbox'><label for='data-66c0d500-7514-4de8-8bc5-d47311ffb919' 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>typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>swvl4</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd><dt><span>name :</span></dt><dd>Volumetric soil water layer 4</dd><dt><span>cfVarName :</span></dt><dd>swvl4</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</dd></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
+ " <thead>\n",
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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 125.02 GiB </td>\n",
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+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
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+ " <td> (1, 542080) </td>\n",
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+ " <td colspan=\"2\"> 30955 chunks in 2 graph layers </td>\n",
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+ " <tr>\n",
+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
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+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
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+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
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+ " <th> Data type </th>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcw</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-88f62139-f71e-4d45-a73c-0d718f3fb728' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88f62139-f71e-4d45-a73c-0d718f3fb728' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8d9268a-0a3a-4e2e-8d02-a643da90ea3c' class='xr-var-data-in' type='checkbox'><label for='data-e8d9268a-0a3a-4e2e-8d02-a643da90ea3c' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>tcw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>name :</span></dt><dd>Total column water</dd><dt><span>cfVarName :</span></dt><dd>tcw</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 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",
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+ " <td>\n",
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+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcwv</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-29aea53b-7ca1-4e34-b119-7aa1d39a0f8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29aea53b-7ca1-4e34-b119-7aa1d39a0f8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a342ff8-83d4-41e0-8821-0aacc6ead139' class='xr-var-data-in' type='checkbox'><label for='data-6a342ff8-83d4-41e0-8821-0aacc6ead139' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>tcwv</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>cfVarName :</span></dt><dd>tcwv</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 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",
+ " <td>\n",
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+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tsn</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 542080), meta=np.ndarray></div><input id='attrs-504bc270-3e37-47b4-bbd1-29da60f8010d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-504bc270-3e37-47b4-bbd1-29da60f8010d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22654667-bd08-44a4-b68b-d216daa2b267' class='xr-var-data-in' type='checkbox'><label for='data-22654667-bd08-44a4-b68b-d216daa2b267' 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>typeOfLevel :</span></dt><dd>surface</dd><dt><span>stepType :</span></dt><dd>avg</dd><dt><span>gridType :</span></dt><dd>reduced_gg</dd><dt><span>shortName :</span></dt><dd>tsn</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>name :</span></dt><dd>Temperature of snow layer</dd><dt><span>cfName :</span></dt><dd>temperature_in_surface_snow</dd><dt><span>cfVarName :</span></dt><dd>tsn</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Gaussian Latitude/Longitude Grid</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> 125.02 GiB </td>\n",
+ " <td> 4.14 MiB </td>\n",
+ " </tr>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Shape </th>\n",
+ " <td> (30955, 542080) </td>\n",
+ " <td> (1, 542080) </td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th> Dask graph </th>\n",
+ " <td colspan=\"2\"> 30955 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",
+ " <td>\n",
+ " <svg width=\"170\" height=\"85\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+ "\n",
+ " <!-- Horizontal lines -->\n",
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+ "\n",
+ " <!-- Vertical lines -->\n",
+ " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"35\" style=\"stroke-width:2\" />\n",
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+ "\n",
+ " <!-- Colored Rectangle -->\n",
+ " <polygon points=\"0.0,0.0 120.0,0.0 120.0,35.31223634653582 0.0,35.31223634653582\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
+ "\n",
+ " <!-- Text -->\n",
+ " <text x=\"60.000000\" y=\"55.312236\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >542080</text>\n",
+ " <text x=\"140.000000\" y=\"17.656118\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,17.656118)\">30955</text>\n",
+ "</svg>\n",
+ " </td>\n",
+ " </tr>\n",
+ "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f360da49-aa6c-4d96-9a7c-db180b94f8b6' class='xr-section-summary-in' type='checkbox' ><label for='section-f360da49-aa6c-4d96-9a7c-db180b94f8b6' 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-6101d630-4648-4cf3-9aac-6b7a2016ef50' class='xr-index-data-in' type='checkbox'/><label for='index-6101d630-4648-4cf3-9aac-6b7a2016ef50' 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(['1940-01-01 11:30:00', '1940-01-02 11:30:00',\n",
+ " '1940-01-03 11:30:00', '1940-01-04 11:30:00',\n",
+ " '1940-01-05 11:30:00', '1940-01-06 11:30:00',\n",
+ " '1940-01-07 11:30:00', '1940-01-08 11:30:00',\n",
+ " '1940-01-09 11:30:00', '1940-01-10 11:30:00',\n",
+ " ...\n",
+ " '2024-09-21 11:30:00', '2024-09-22 11:30:00',\n",
+ " '2024-09-23 11:30:00', '2024-09-24 11:30:00',\n",
+ " '2024-09-25 11:30:00', '2024-09-26 11:30:00',\n",
+ " '2024-09-27 11:30:00', '2024-09-28 11:30:00',\n",
+ " '2024-09-29 11:30:00', '2024-09-30 11:30:00'],\n",
+ " dtype='datetime64[ns]', name='time', length=30955, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3f74e63d-5919-4f9d-b697-f8ac48f15347' class='xr-section-summary-in' type='checkbox' ><label for='section-3f74e63d-5919-4f9d-b697-f8ac48f15347' class='xr-section-summary' >Attributes: <span>(22)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>project :</span></dt><dd>ECMWF Re-Analysis</dd><dt><span>project_id :</span></dt><dd>ERA</dd><dt><span>institution_id :</span></dt><dd>ECMWF-DKRZ</dd><dt><span>institution :</span></dt><dd>Data from European Centre for Medium-Range Weather Forecasts (ECMWF) distributed by the Germen Climate Computing Center (DKRZ)</dd><dt><span>source_id :</span></dt><dd>IFS</dd><dt><span>source :</span></dt><dd>ECMWF Integrated Forecast System (IFS) CY41R2</dd><dt><span>experiment_id :</span></dt><dd>ERA5</dd><dt><span>simulation_id :</span></dt><dd>ERA5</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>frequency :</span></dt><dd>daily</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>grid_id :</span></dt><dd>N320</dd><dt><span>grid_type :</span></dt><dd>gaussian_reduced</dd><dt><span>resolution :</span></dt><dd>0.28125 deg</dd><dt><span>level_type :</span></dt><dd>surface</dd><dt><span>data_type :</span></dt><dd>analysis</dd><dt><span>format :</span></dt><dd>kerchunk</dd><dt><span>product :</span></dt><dd>reanalysis</dd><dt><span>responsible_persons :</span></dt><dd>Angelika Heil, Fabian Wachsmann</dd><dt><span>title :</span></dt><dd>The DKRZ ERA5 data pool. Generated using Copernicus Climate Change Service information [2024]. Data distribution by the German Climate Computing Center (DKRZ). Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains</dd><dt><span>license :</span></dt><dd>The ERA5 data are published with the Copernicus Product License with the necessity of attribution. https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products</dd><dt><span>references :</span></dt><dd>Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñozâ€Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R.J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., Thépaut, J-N. (2017): Complete ERA5 from 1940: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service (C3S) Data Store (CDS). DOI: 10.24381/cds.143582cf</dd></dl></div></li></ul></div></div>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset> Size: 5TB\n",
+ "Dimensions: (time: 30955, cell: 542080)\n",
+ "Coordinates:\n",
+ " lat (cell) float64 4MB dask.array<chunksize=(542080,), meta=np.ndarray>\n",
+ " lon (cell) float64 4MB dask.array<chunksize=(542080,), meta=np.ndarray>\n",
+ " * time (time) datetime64[ns] 248kB 1940-01-01T11:30:00 ... 2024-09-30T1...\n",
+ "Dimensions without coordinates: cell\n",
+ "Data variables: (12/40)\n",
+ " 100u (time, cell) float64 134GB dask.array<chunksize=(1, 542080), meta=np.ndarray>\n",
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+ "Attributes: (12/22)\n",
+ " project: ECMWF Re-Analysis\n",
+ " project_id: ERA\n",
+ " institution_id: ECMWF-DKRZ\n",
+ " institution: Data from European Centre for Medium-Range Weather ...\n",
+ " source_id: IFS\n",
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+ " ... ...\n",
+ " format: kerchunk\n",
+ " product: reanalysis\n",
+ " responsible_persons: Angelika Heil, Fabian Wachsmann\n",
+ " title: The DKRZ ERA5 data pool. Generated using Copernicus...\n",
+ " license: The ERA5 data are published with the Copernicus Pro...\n",
+ " references: Hersbach, H., Bell, B., Berrisford, P., Hirahara, S..."
+ ]
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+ " \n",
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+ " <span class=\"pystac-k\">grid_id</span>\n",
+ " <span class=\"pystac-v\">\"N320\"</span>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
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+ " <span class=\"pystac-v\">\"0.28125 deg\"</span>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
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+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">data_type</span>\n",
+ " <span class=\"pystac-v\">\"analysis\"</span>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">format</span>\n",
+ " <span class=\"pystac-v\">\"kerchunk\"</span>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">product</span>\n",
+ " <span class=\"pystac-v\">\"reanalysis\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">responsible_persons</span>\n",
+ " <span class=\"pystac-v\">\"Angelika Heil, Fabian Wachsmann\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">license</span>\n",
+ " <span class=\"pystac-v\">\"The ERA5 data are published with the Copernicus Product License with the necessity of attribution. https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
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+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">references</span>\n",
+ " <span class=\"pystac-v\">\"Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñozâ€Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R.J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., Thépaut, J-N. (2017): Complete ERA5 from 1940: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service (C3S) Data Store (CDS). DOI: 10.24381/cds.143582cf\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">_xpublish_id</span>\n",
+ " <span class=\"pystac-v\">\"era5\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">links</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
+ " \n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">rel</span>\n",
+ " <span class=\"pystac-v\">\"DOC\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">href</span>\n",
+ " <span class=\"pystac-v\">\"https://easy.gems.dkrz.de/simulations/EERIE/eerie_data-access_online.html\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">title</span>\n",
+ " <span class=\"pystac-v\">\"Usage of the eerie.cloud\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " \n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">assets</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">data</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">href</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets/era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">type</span>\n",
+ " <span class=\"pystac-v\">\"application/vnd+zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">title</span>\n",
+ " <span class=\"pystac-v\">\"Data\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">description</span>\n",
+ " <span class=\"pystac-v\">\"Accessed binary data is processed on server-side\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">Volume</span>\n",
+ " <span class=\"pystac-v\">\"5000 GB uncompressed\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">No of data variables</span>\n",
+ " <span class=\"pystac-v\">\"40\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">kerchunk</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">name</span>\n",
+ " <span class=\"pystac-v\">\"Raw data\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">description</span>\n",
+ " <span class=\"pystac-v\">\"Accessed binary data is as stored on disk via kerchunk\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">href</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets/era5/kerchunk\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
+ " \n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">0</span>\n",
+ " <span class=\"pystac-v\">\"data\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " \n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">xarray_view</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">href</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets/era5/\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">type</span>\n",
+ " <span class=\"pystac-v\">\"text/html\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">title</span>\n",
+ " <span class=\"pystac-v\">\"Xarray dataset\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">description</span>\n",
+ " <span class=\"pystac-v\">\"HTML representation of the xarray dataset\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
+ " \n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">0</span>\n",
+ " <span class=\"pystac-v\">\"overview\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " \n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">default_var</span>\n",
+ " <span class=\"pystac-v\">\"100u\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">name</span>\n",
+ " <span class=\"pystac-v\">\"The DKRZ ERA5 data pool. Generated using Copernicus Climate Change Service information [2024]. Data distribution by the German Climate Computing Center (DKRZ). Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">levels</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
+ " \n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">name</span>\n",
+ " <span class=\"pystac-v\">\"era5\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">time</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">grid</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">datasources</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">100u</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">100v</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">10u</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">10v</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">2d</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">2t</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">asn</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">blh</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">ci</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">fal</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">flsr</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">fsr</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">hcc</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">ie</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">istl1</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">istl2</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">istl3</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">istl4</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
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+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">mcc</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">msl</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
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+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
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+ " \n",
+ " \n",
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+ " \n",
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+ " <li><details>\n",
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+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
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+ " \n",
+ " \n",
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+ " <li><details>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
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+ " \n",
+ " \n",
+ " \n",
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+ " \n",
+ " \n",
+ " \n",
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+ " <li><details>\n",
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+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
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+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
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+ " \n",
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+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
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+ " \n",
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+ " \n",
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+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
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+ " \n",
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+ " \n",
+ " \n",
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+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
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+ " \n",
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+ " \n",
+ " <li><details>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
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+ " \n",
+ " <li><details>\n",
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+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
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+ " \n",
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+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">stl4</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">swvl1</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">swvl2</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">swvl3</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">swvl4</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">tcc</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">tco3</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">tcw</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">tcwv</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li><details>\n",
+ " <summary class=\"pystac-summary\"><span class=\"pystac-k\">tsn</span></summary>\n",
+ " <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">store</span>\n",
+ " <span class=\"pystac-v\">\"https://eerie.cloud.dkrz.de/datasets\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " <li class=\"pystac-row\">\n",
+ " <span class=\"pystac-k\">dataset</span>\n",
+ " <span class=\"pystac-v\">\"era5/zarr\"</span>\n",
+ " </li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " \n",
+ " </details></li>\n",
+ " \n",
+ " \n",
+ " </ul>\n",
+ " </div>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ "<Item id=era5>"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "import pystac\n",
+ "import fsspec\n",
+ "import json\n",
+ "pystac.item.Item.from_dict(\n",
+ " json.load(fsspec.open(stac_url,**storage_options).open())\n",
+ ")"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "cloudify",
+ "language": "python",
+ "name": "cloudify"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.0"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/workshop/testslurm.sh b/workshop/testslurm.sh
new file mode 100644
index 0000000..9a7434c
--- /dev/null
+++ b/workshop/testslurm.sh
@@ -0,0 +1,16 @@
+#!/bin/bash
+### Batch Queuing System is SLURM
+#SBATCH --partition=shared
+#SBATCH --time=1:00:00 #168
+#SBATCH --mail-type=FAIL
+#SBATCH --account=bm0021
+#SBATCH --output=cloudify_%j.log
+#SBATCH --error=cloudify_%j.err
+#SBATCH --qos=esgf
+#SBATCH --mem=16G
+
+echo $HOSTNAME
+#/scratch/k/k204210/temp/ngc4008_P1D_3.parq
+source activate /work/bm0021/conda-envs/cloudify
+python xpublish_references.py test $1
+
--
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