diff --git a/workshop/1_start-an-app.ipynb b/workshop/1_start-an-app.ipynb
index f4167a7b5200ae647ac007d4b700fd75739385e8..1db8b988eefa761d754c8509daabe362a90ac652 100644
--- a/workshop/1_start-an-app.ipynb
+++ b/workshop/1_start-an-app.ipynb
@@ -50,13 +50,48 @@
{
"cell_type": "code",
"execution_count": 1,
+ "id": "0a748c3e-2a25-40ea-aefc-ae40bc13f664",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'l40356.lvt.dkrz.de'"
+ ]
+ },
+ "execution_count": 1,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "cn=!echo $HOSTNAME\n",
+ "cn=cn[0]\n",
+ "cn"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
"id": "d5e47e26-93ac-465f-90a4-8d84762b1f80",
"metadata": {
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "....+..+.......+..+.+.....+....+...+.....+.+............+.....+...+.+.....+..........+......+...+++++++++++++++++++++++++++++++++++++++++++++*.....+.+.....+....+..+.......+++++++++++++++++++++++++++++++++++++++++++++*...........+...+.+.....+.+.....+....+..+.......+..+..........+...+.......................+.............+.....+....+......+.....+....+...+........+.+.....+.........+.+........................+...........+...................+..+....+...+...+............+......+...........+.........+...............+......+.+............+.................................+.........+...+..+..................+.+..+....+...+.....+...+++++\n",
+ "......+.....+.......+..+.........+.........+.+......+...+...........+.+...+.....+++++++++++++++++++++++++++++++++++++++++++++*.+.+...+......+...............+++++++++++++++++++++++++++++++++++++++++++++*....+.....+.+...+......+......+..+.......+...+.....+......+.......+...............+.....+............+...+....+...+...+...+...............+.....+.+.........+..+.........................+...+..+.........+.+...+..+.........+......+...+..........+.....+.+.....+...+............+...+...+...+....+...+..+............+....+.....+.......+...+..+............+......+..........+............+.........+........+..........+..+......+....+...........+...+....+...+.....+....+........+.......+........+......+.+...+..+.....................+....+..............+....+......+.........+..+...............+...+.+..+...................+.....+....+.....+.+...........+...............+...............+.......+...+.........+...+.......................+..........+..............+....+.....+.........+...+...............+...+.....................+....+.........+.....+...+....+......+...+............+.....+...+....+...........+.+...+..+.+.................+..........+..+......+...........................+.+.....................+......+..+...+..............................+....+...+........+.............+......+......+..+......+...............+.+........+......+.+.....+..................+.+...............+..+..........+.....+....+...+..................+...............+..+..........+........+...+....+..+....+.........+..+....+..............+...+...+......................+............+............+..............................+........+...+...+.+...+.....+...+++++\n",
+ "-----\n"
+ ]
+ }
+ ],
"source": [
- "#!openssl req -x509 -newkey rsa:4096 -keyout key.pem -out cert.pem -sha256 -days 3650 -nodes -subj \"/C=XX/ST=Hamburg/L=Hamburg/O=Test/OU=Test/CN=localhost\""
+ "!openssl req -x509 -newkey rsa:4096 -keyout key.pem -out cert.pem -sha256 -days 3650 -nodes -subj \"/C=XX/ST=Hamburg/L=Hamburg/O=Test/OU=Test/CN=\"{cn}"
]
},
{
@@ -92,7 +127,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 3,
"id": "e11d309f-c893-401a-ba5f-9f3f0046e039",
"metadata": {
"tags": []
@@ -104,7 +139,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 4,
"id": "571a82ea-d7bc-42e3-8169-ae22ef999065",
"metadata": {
"tags": []
@@ -162,8 +197,15 @@
" glob_inp,\n",
" compat=\"override\",\n",
" coords=\"minimal\",\n",
- " chunks=chunks\n",
+ " chunks=chunks,\n",
" )\n",
+ " if \"height\" in ds:\n",
+ " del ds[\"height\"]\n",
+ " for dv in ds.variables:\n",
+ " if \"time\" in dv:\n",
+ " ds[dv]=ds[dv].load()\n",
+ " ds[dv].encoding[\"dtype\"] = \"float64\"\n",
+ " ds[dv].encoding[\"compressor\"] = None\n",
" ds=ds.set_coords([a for a in ds.data_vars if \"bnds\" in a])\n",
" if l_lossy:\n",
" ds = xr.apply_ufunc(\n",
@@ -200,7 +242,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 5,
"id": "5da13d6b-05f1-4b3b-aecd-1ac3bb635526",
"metadata": {
"tags": []
@@ -242,16 +284,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "k204210 52510 4121939 0 10:12 ? 00:00:00 /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 54077 52595 0 10:13 ? 00:00:00 /work/bm0021/conda-envs/cloudify/bin/python -c from multiprocessing.resource_tracker import main;main(27)\n",
- "k204210 54079 52595 2 10:13 ? 00:00:06 /work/bm0021/conda-envs/cloudify/bin/python -c from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=28, pipe_handle=38) --multiprocessing-fork\n",
- "k204210 54082 52595 2 10:13 ? 00:00:06 /work/bm0021/conda-envs/cloudify/bin/python -c from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=28, pipe_handle=38) --multiprocessing-fork\n",
- "k204210 55387 52510 0 10:17 pts/18 00:00:00 /bin/bash -c ps -ef | grep cloudify\n",
- "k204210 55389 55387 0 10:17 pts/18 00:00:00 grep cloudify\n",
- "k204210 4125442 4121939 0 08:57 ? 00:00:06 /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 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 4125452 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-33489dce-534b-42ed-bbe7-6d125e3f6167.json\n",
- "k204210 4125453 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-16ae079b-b9fb-4460-bc7c-808797637e88.json\n"
+ "k204210 1885374 1878744 0 09:31 ? 00:00:00 /work/bm0021/conda-envs/cloudify/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-449f1aed-0c01-4339-8e8e-3391add9c830.json\n",
+ "k204210 1885397 1878744 0 09:31 ? 00:00:00 /work/bm0021/conda-envs/cloudify/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-59fedbd8-7d7f-424a-8226-3980eadf7fc6.json\n",
+ "k204210 1886037 1878744 1 09:35 ? 00:00:21 /work/bm0021/conda-envs/cloudify/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-1a921a3d-65a6-4b07-9c29-d17f990ab11b.json\n",
+ "k204210 1894380 1878744 17 09:58 ? 00:00:00 /work/bm0021/conda-envs/cloudify/bin/python -Xfrozen_modules=off -m ipykernel_launcher -f /home/k/k204210/.local/share/jupyter/runtime/kernel-1d363456-8c8d-40f5-91ea-1e931e364b72.json\n",
+ "k204210 1894407 1894380 0 09:58 pts/3 00:00:00 /bin/bash -c ps -ef | grep cloudify\n",
+ "k204210 1894411 1894410 0 09:58 ? 00:00:00 /sw/spack-levante/jupyterhub/jupyterhub/bin/python /sw/spack-levante/jupyterhub/jupyterhub/bin/conda shell.posix activate /work/bm0021/conda-envs/cloudify\n",
+ "k204210 1894413 1894407 0 09:58 pts/3 00:00:00 grep cloudify\n"
]
}
],
@@ -273,14 +312,22 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 7,
"id": "af33c134-f4ba-42f7-9687-7bb9948d5dfe",
"metadata": {
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "/bin/bash: line 0: kill: (1882536) - No such process\n"
+ ]
+ }
+ ],
"source": [
- "!kill 52595"
+ "!kill 1882536"
]
},
{
diff --git a/workshop/2_data-access.ipynb b/workshop/2_data-access.ipynb
index 0723c5a2618128ae9528400461feb7fd848d4a16..a58fcd15bc75023d0aed2678c8b6addd1e7fe4b6 100644
--- a/workshop/2_data-access.ipynb
+++ b/workshop/2_data-access.ipynb
@@ -28,7 +28,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "https://l40038.lvt.dkrz.de:9010\n"
+ "https://l40356.lvt.dkrz.de:9010\n"
]
}
],
@@ -87,7 +87,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "https://l40038.lvt.dkrz.de:9010/datasets/example/zarr\n"
+ "https://l40356.lvt.dkrz.de:9010/datasets/example/zarr\n"
]
}
],
@@ -114,6 +114,907 @@
")"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "446429c1-c854-4bd4-89ed-fcce353f00be",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+ "<defs>\n",
+ "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+ "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
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+ "</symbol>\n",
+ "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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+ "</symbol>\n",
+ "</defs>\n",
+ "</svg>\n",
+ "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+ " *\n",
+ " */\n",
+ "\n",
+ ":root {\n",
+ " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+ " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
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+ " --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+ " --xr-background-color: var(--jp-layout-color0, white);\n",
+ " --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+ " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+ "}\n",
+ "\n",
+ "html[theme=dark],\n",
+ "html[data-theme=dark],\n",
+ "body[data-theme=dark],\n",
+ "body.vscode-dark {\n",
+ " --xr-font-color0: rgba(255, 255, 255, 1);\n",
+ " --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+ " --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+ " --xr-border-color: #1F1F1F;\n",
+ " --xr-disabled-color: #515151;\n",
+ " --xr-background-color: #111111;\n",
+ " --xr-background-color-row-even: #111111;\n",
+ " --xr-background-color-row-odd: #313131;\n",
+ "}\n",
+ "\n",
+ ".xr-wrap {\n",
+ " display: block !important;\n",
+ " min-width: 300px;\n",
+ " max-width: 700px;\n",
+ "}\n",
+ "\n",
+ ".xr-text-repr-fallback {\n",
+ " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+ " display: none;\n",
+ "}\n",
+ "\n",
+ ".xr-header {\n",
+ " padding-top: 6px;\n",
+ " padding-bottom: 6px;\n",
+ " margin-bottom: 4px;\n",
+ " border-bottom: solid 1px var(--xr-border-color);\n",
+ "}\n",
+ "\n",
+ ".xr-header > div,\n",
+ ".xr-header > ul {\n",
+ " display: inline;\n",
+ " margin-top: 0;\n",
+ " margin-bottom: 0;\n",
+ "}\n",
+ "\n",
+ ".xr-obj-type,\n",
+ ".xr-array-name {\n",
+ " margin-left: 2px;\n",
+ " margin-right: 10px;\n",
+ "}\n",
+ "\n",
+ ".xr-obj-type {\n",
+ " color: var(--xr-font-color2);\n",
+ "}\n",
+ "\n",
+ ".xr-sections {\n",
+ " padding-left: 0 !important;\n",
+ " display: grid;\n",
+ " grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+ "}\n",
+ "\n",
+ ".xr-section-item {\n",
+ " display: contents;\n",
+ "}\n",
+ "\n",
+ ".xr-section-item input {\n",
+ " display: none;\n",
+ "}\n",
+ "\n",
+ ".xr-section-item input + label {\n",
+ " color: var(--xr-disabled-color);\n",
+ "}\n",
+ "\n",
+ ".xr-section-item input:enabled + label {\n",
+ " cursor: pointer;\n",
+ " color: var(--xr-font-color2);\n",
+ "}\n",
+ "\n",
+ ".xr-section-item input:enabled + label:hover {\n",
+ " color: var(--xr-font-color0);\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary {\n",
+ " grid-column: 1;\n",
+ " color: var(--xr-font-color2);\n",
+ " font-weight: 500;\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary > span {\n",
+ " display: inline-block;\n",
+ " padding-left: 0.5em;\n",
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+ ".xr-section-summary-in:disabled + label {\n",
+ " color: var(--xr-font-color2);\n",
+ "}\n",
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+ ".xr-section-summary-in + label:before {\n",
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+ " font-size: 11px;\n",
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+ ".xr-section-summary-in:disabled + label:before {\n",
+ " color: var(--xr-disabled-color);\n",
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+ ".xr-section-summary-in:checked + label:before {\n",
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+ ".xr-section-summary-in:checked + label > span {\n",
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+ ".xr-section-inline-details {\n",
+ " padding-top: 4px;\n",
+ " padding-bottom: 4px;\n",
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+ ".xr-section-inline-details {\n",
+ " grid-column: 2 / -1;\n",
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+ " grid-column: 1 / -1;\n",
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+ ".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",
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+ "}\n",
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+ ".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",
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+ "\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",
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+ " stroke: currentColor;\n",
+ " fill: currentColor;\n",
+ "}\n",
+ "</style><pre class='xr-text-repr-fallback'><xarray.Dataset> Size: 314MB\n",
+ "Dimensions: (lat: 192, time: 1032, bnds: 2, lon: 384)\n",
+ "Coordinates:\n",
+ " * lat (lat) float64 2kB -89.28 -88.36 -87.42 ... 87.42 88.36 89.28\n",
+ " * lon (lon) float64 3kB 0.0 0.9375 1.875 2.812 ... 357.2 358.1 359.1\n",
+ " * time (time) datetime64[ns] 8kB 2015-01-16T12:00:00 ... 2100-12-16T1...\n",
+ "Dimensions without coordinates: bnds\n",
+ "Data variables:\n",
+ " lat_bnds (time, lat, bnds) float64 3MB dask.array<chunksize=(60, 192, 2), meta=np.ndarray>\n",
+ " lon_bnds (time, lon, bnds) float64 6MB dask.array<chunksize=(60, 384, 2), meta=np.ndarray>\n",
+ " tas (time, lat, lon) float32 304MB dask.array<chunksize=(1, 192, 384), meta=np.ndarray>\n",
+ " time_bnds (time, bnds) datetime64[ns] 17kB dask.array<chunksize=(1032, 2), meta=np.ndarray>\n",
+ "Attributes: (12/47)\n",
+ " Conventions: CF-1.7 CMIP-6.2\n",
+ " activity_id: ScenarioMIP AerChemMIP\n",
+ " branch_method: standard\n",
+ " branch_time_in_child: 60265.0\n",
+ " branch_time_in_parent: 60265.0\n",
+ " contact: cmip6-mpi-esm@dkrz.de\n",
+ " ... ...\n",
+ " title: MPI-ESM1-2-HR output prepared for CMIP6\n",
+ " variable_id: tas\n",
+ " variant_label: r1i1p1f1\n",
+ " license: CMIP6 model data produced by DKRZ is licensed und...\n",
+ " cmor_version: 3.4.0\n",
+ " tracking_id: hdl:21.14100/d6f0f6b2-b4c2-460b-bc5e-f1c72f932399</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-0158010a-e8e4-48e2-8479-4a23721f7ef8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0158010a-e8e4-48e2-8479-4a23721f7ef8' 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'>lat</span>: 192</li><li><span class='xr-has-index'>time</span>: 1032</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 384</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f20bb92c-0116-4e3a-b258-7456070f505e' class='xr-section-summary-in' type='checkbox' checked><label for='section-f20bb92c-0116-4e3a-b258-7456070f505e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.28 -88.36 ... 88.36 89.28</div><input id='attrs-129c200b-5a46-4a92-9c01-0c554c891109' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-129c200b-5a46-4a92-9c01-0c554c891109' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18213348-fadf-49f1-b744-f3640df106e8' class='xr-var-data-in' type='checkbox'><label for='data-18213348-fadf-49f1-b744-f3640df106e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.284228, -88.357004, -87.424304, -86.490367, -85.55596 , -84.621327,\n",
+ " -83.686567, -82.751728, -81.816839, -80.881913, -79.946962, -79.011992,\n",
+ " -78.077007, -77.142011, -76.207005, -75.271992, -74.336973, -73.401949,\n",
+ " -72.466921, -71.531889, -70.596854, -69.661816, -68.726776, -67.791734,\n",
+ " -66.856691, -65.921645, -64.986599, -64.051551, -63.116502, -62.181452,\n",
+ " -61.246401, -60.311349, -59.376297, -58.441244, -57.50619 , -56.571136,\n",
+ " -55.636081, -54.701026, -53.76597 , -52.830914, -51.895857, -50.960801,\n",
+ " -50.025743, -49.090686, -48.155628, -47.22057 , -46.285512, -45.350454,\n",
+ " -44.415395, -43.480336, -42.545277, -41.610218, -40.675159, -39.740099,\n",
+ " -38.805039, -37.86998 , -36.93492 , -35.99986 , -35.064799, -34.129739,\n",
+ " -33.194679, -32.259618, -31.324558, -30.389497, -29.454436, -28.519375,\n",
+ " -27.584315, -26.649254, -25.714193, -24.779132, -23.84407 , -22.909009,\n",
+ " -21.973948, -21.038887, -20.103825, -19.168764, -18.233703, -17.298641,\n",
+ " -16.36358 , -15.428518, -14.493457, -13.558395, -12.623333, -11.688272,\n",
+ " -10.75321 , -9.818148, -8.883087, -7.948025, -7.012963, -6.077901,\n",
+ " -5.14284 , -4.207778, -3.272716, -2.337654, -1.402593, -0.467531,\n",
+ " 0.467531, 1.402593, 2.337654, 3.272716, 4.207778, 5.14284 ,\n",
+ " 6.077901, 7.012963, 7.948025, 8.883087, 9.818148, 10.75321 ,\n",
+ " 11.688272, 12.623333, 13.558395, 14.493457, 15.428518, 16.36358 ,\n",
+ " 17.298641, 18.233703, 19.168764, 20.103825, 21.038887, 21.973948,\n",
+ " 22.909009, 23.84407 , 24.779132, 25.714193, 26.649254, 27.584315,\n",
+ " 28.519375, 29.454436, 30.389497, 31.324558, 32.259618, 33.194679,\n",
+ " 34.129739, 35.064799, 35.99986 , 36.93492 , 37.86998 , 38.805039,\n",
+ " 39.740099, 40.675159, 41.610218, 42.545277, 43.480336, 44.415395,\n",
+ " 45.350454, 46.285512, 47.22057 , 48.155628, 49.090686, 50.025743,\n",
+ " 50.960801, 51.895857, 52.830914, 53.76597 , 54.701026, 55.636081,\n",
+ " 56.571136, 57.50619 , 58.441244, 59.376297, 60.311349, 61.246401,\n",
+ " 62.181452, 63.116502, 64.051551, 64.986599, 65.921645, 66.856691,\n",
+ " 67.791734, 68.726776, 69.661816, 70.596854, 71.531889, 72.466921,\n",
+ " 73.401949, 74.336973, 75.271992, 76.207005, 77.142011, 78.077007,\n",
+ " 79.011992, 79.946962, 80.881913, 81.816839, 82.751728, 83.686567,\n",
+ " 84.621327, 85.55596 , 86.490367, 87.424304, 88.357004, 89.284228])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.9375 1.875 ... 358.1 359.1</div><input id='attrs-2a9e34c6-ae51-49ae-8ec3-e838d6fd91d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a9e34c6-ae51-49ae-8ec3-e838d6fd91d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b759427c-174e-4506-bf92-4acc009b0678' class='xr-var-data-in' type='checkbox'><label for='data-b759427c-174e-4506-bf92-4acc009b0678' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 0.9375, 1.875 , ..., 357.1875, 358.125 , 359.0625])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-01-16T12:00:00 ... 2100-12-...</div><input id='attrs-3f073a73-6cb3-4d1d-8b80-b414ba82f6d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f073a73-6cb3-4d1d-8b80-b414ba82f6d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45763776-b6ec-4818-add1-69c2751ba8b2' class='xr-var-data-in' type='checkbox'><label for='data-45763776-b6ec-4818-add1-69c2751ba8b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2015-01-16T12:00:00.000000000', '2015-02-15T00:00:00.000000000',\n",
+ " '2015-03-16T12:00:00.000000000', ..., '2100-10-16T12:00:00.000000000',\n",
+ " '2100-11-16T00:00:00.000000000', '2100-12-16T12:00:00.000000000'],\n",
+ " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e06c6bdf-e70f-4338-8f3f-a49b876f6f7d' class='xr-section-summary-in' type='checkbox' checked><label for='section-e06c6bdf-e70f-4338-8f3f-a49b876f6f7d' class='xr-section-summary' >Data variables: <span>(4)</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_bnds</span></div><div class='xr-var-dims'>(time, lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(60, 192, 2), meta=np.ndarray></div><input id='attrs-b7085bd3-c66d-47e8-8b6e-084eb9b066fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b7085bd3-c66d-47e8-8b6e-084eb9b066fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79099788-16e2-4978-b548-e6b62b995ef9' class='xr-var-data-in' type='checkbox'><label for='data-79099788-16e2-4978-b548-e6b62b995ef9' 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'></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
+ " <td>\n",
+ " <table style=\"border-collapse: collapse;\">\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
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+ " <tr>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 192, 384), meta=np.ndarray></div><input id='attrs-80632f3e-c035-4328-8197-c47ef7bbf834' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80632f3e-c035-4328-8197-c47ef7bbf834' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25dc7500-9791-44f8-b1ff-042e97a2849b' class='xr-var-data-in' type='checkbox'><label for='data-25dc7500-9791-44f8-b1ff-042e97a2849b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>comment :</span></dt><dd>near-surface (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-07-20T13:41:51Z altered by CMOR: Treated scalar dimension: 'height'. 2019-07-20T13:41:51Z altered by CMOR: replaced missing value flag (-9e+33) with standard missing value (1e+20). 2019-07-20T13:41:51Z altered by CMOR: Converted type from 'd' to 'f'. 2019-07-20T13:41:52Z altered by CMOR: Inverted axis: lat.</dd></dl></div><div class='xr-var-data'><table>\n",
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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
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+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
+ " <th> Bytes </th>\n",
+ " <td> 290.25 MiB </td>\n",
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+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1032, 2), meta=np.ndarray></div><input id='attrs-92b1976c-3f20-4108-a0b6-b8c3f8609b48' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-92b1976c-3f20-4108-a0b6-b8c3f8609b48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ef8a187-afc1-4d6b-97c8-c8daba8abf56' class='xr-var-data-in' type='checkbox'><label for='data-7ef8a187-afc1-4d6b-97c8-c8daba8abf56' 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'></dl></div><div class='xr-var-data'><table>\n",
+ " <tr>\n",
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+ " <th> Array </th>\n",
+ " <th> Chunk </th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " \n",
+ " <tr>\n",
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+ " <th> Data type </th>\n",
+ " <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n",
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+ "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-47592cb8-1641-48b1-864f-4a9ecbc9e722' class='xr-section-summary-in' type='checkbox' ><label for='section-47592cb8-1641-48b1-864f-4a9ecbc9e722' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-33d4ee5e-5034-4499-9463-3802849d45a4' class='xr-index-data-in' type='checkbox'/><label for='index-33d4ee5e-5034-4499-9463-3802849d45a4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.28422753251364, -88.35700351866494, -87.42430374606988,\n",
+ " -86.49036676628116, -85.55596048489265, -84.6213271076488,\n",
+ " -83.68656681656385, -82.75172847343066, -81.81683872860319,\n",
+ " -80.8819133467975,\n",
+ " ...\n",
+ " 80.8819133467975, 81.81683872860319, 82.75172847343066,\n",
+ " 83.68656681656385, 84.6213271076488, 85.55596048489265,\n",
+ " 86.49036676628116, 87.42430374606988, 88.35700351866494,\n",
+ " 89.28422753251364],\n",
+ " dtype='float64', name='lat', length=192))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-62064164-ce1d-47f8-937c-9e1a4573c01d' class='xr-index-data-in' type='checkbox'/><label for='index-62064164-ce1d-47f8-937c-9e1a4573c01d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0, 0.9375, 1.875, 2.8125, 3.75, 4.6875, 5.625,\n",
+ " 6.5625, 7.5, 8.4375,\n",
+ " ...\n",
+ " 350.625, 351.5625, 352.5, 353.4375, 354.375, 355.3125, 356.25,\n",
+ " 357.1875, 358.125, 359.0625],\n",
+ " dtype='float64', name='lon', length=384))</pre></div></li><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-5746eedc-f289-4675-b0b7-78406ff8b2ce' class='xr-index-data-in' type='checkbox'/><label for='index-5746eedc-f289-4675-b0b7-78406ff8b2ce' 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(['2015-01-16 12:00:00', '2015-02-15 00:00:00',\n",
+ " '2015-03-16 12:00:00', '2015-04-16 00:00:00',\n",
+ " '2015-05-16 12:00:00', '2015-06-16 00:00:00',\n",
+ " '2015-07-16 12:00:00', '2015-08-16 12:00:00',\n",
+ " '2015-09-16 00:00:00', '2015-10-16 12:00:00',\n",
+ " ...\n",
+ " '2100-03-16 12:00:00', '2100-04-16 00:00:00',\n",
+ " '2100-05-16 12:00:00', '2100-06-16 00:00:00',\n",
+ " '2100-07-16 12:00:00', '2100-08-16 12:00:00',\n",
+ " '2100-09-16 00:00:00', '2100-10-16 12:00:00',\n",
+ " '2100-11-16 00:00:00', '2100-12-16 12:00:00'],\n",
+ " dtype='datetime64[ns]', name='time', length=1032, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e2afaf7f-37cd-45fd-aab5-58db42f821c2' class='xr-section-summary-in' type='checkbox' ><label for='section-e2afaf7f-37cd-45fd-aab5-58db42f821c2' class='xr-section-summary' >Attributes: <span>(47)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP AerChemMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>60265.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60265.0</dd><dt><span>contact :</span></dt><dd>cmip6-mpi-esm@dkrz.de</dd><dt><span>creation_date :</span></dt><dd>2019-07-20T13:41:51Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.30</dd><dt><span>experiment :</span></dt><dd>gap-filling scenario reaching 7.0 based on SSP3</dd><dt><span>experiment_id :</span></dt><dd>ssp370</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.DKRZ.MPI-ESM1-2-HR.ssp370.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>gn</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-07-20T13:41:51Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Deutsches Klimarechenzentrum, Hamburg 20146, Germany</dd><dt><span>institution_id :</span></dt><dd>DKRZ</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>MPI-ESM1-2-HR</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-1-1 00:00:00</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>project_id :</span></dt><dd>CMIP6</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>MPI-ESM: Mauritsen, T. et al. (2019), Developments in the MPIâ€M Earth System Model version 1.2 (MPIâ€ESM1.2) and Its Response to Increasing CO2, J. Adv. Model. Earth Syst.,11, 998-1038, doi:10.1029/2018MS001400,\n",
+ "Mueller, W.A. et al. (2018): A highâ€resolution version of the Max Planck Institute Earth System Model MPIâ€ESM1.2â€HR. J. Adv. Model. EarthSyst.,10,1383–1413, doi:10.1029/2017MS001217</dd><dt><span>source :</span></dt><dd>MPI-ESM1.2-HR (2017): \n",
+ "aerosol: none, prescribed MACv2-SP\n",
+ "atmos: ECHAM6.3 (spectral T127; 384 x 192 longitude/latitude; 95 levels; top level 0.01 hPa)\n",
+ "atmosChem: none\n",
+ "land: JSBACH3.20\n",
+ "landIce: none/prescribed\n",
+ "ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m)\n",
+ "ocnBgchem: HAMOCC6\n",
+ "seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model)</dd><dt><span>source_id :</span></dt><dd>MPI-ESM1-2-HR</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>Amon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(09 May 2019) MD5:e6ef8ececc8f338646ebfb3aeed36bfc</dd><dt><span>title :</span></dt><dd>MPI-ESM1-2-HR output prepared for CMIP6</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by DKRZ is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/d6f0f6b2-b4c2-460b-bc5e-f1c72f932399</dd></dl></div></li></ul></div></div>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset> Size: 314MB\n",
+ "Dimensions: (lat: 192, time: 1032, bnds: 2, lon: 384)\n",
+ "Coordinates:\n",
+ " * lat (lat) float64 2kB -89.28 -88.36 -87.42 ... 87.42 88.36 89.28\n",
+ " * lon (lon) float64 3kB 0.0 0.9375 1.875 2.812 ... 357.2 358.1 359.1\n",
+ " * time (time) datetime64[ns] 8kB 2015-01-16T12:00:00 ... 2100-12-16T1...\n",
+ "Dimensions without coordinates: bnds\n",
+ "Data variables:\n",
+ " lat_bnds (time, lat, bnds) float64 3MB dask.array<chunksize=(60, 192, 2), meta=np.ndarray>\n",
+ " lon_bnds (time, lon, bnds) float64 6MB dask.array<chunksize=(60, 384, 2), meta=np.ndarray>\n",
+ " tas (time, lat, lon) float32 304MB dask.array<chunksize=(1, 192, 384), meta=np.ndarray>\n",
+ " time_bnds (time, bnds) datetime64[ns] 17kB dask.array<chunksize=(1032, 2), meta=np.ndarray>\n",
+ "Attributes: (12/47)\n",
+ " Conventions: CF-1.7 CMIP-6.2\n",
+ " activity_id: ScenarioMIP AerChemMIP\n",
+ " branch_method: standard\n",
+ " branch_time_in_child: 60265.0\n",
+ " branch_time_in_parent: 60265.0\n",
+ " contact: cmip6-mpi-esm@dkrz.de\n",
+ " ... ...\n",
+ " title: MPI-ESM1-2-HR output prepared for CMIP6\n",
+ " variable_id: tas\n",
+ " variant_label: r1i1p1f1\n",
+ " license: CMIP6 model data produced by DKRZ is licensed und...\n",
+ " cmor_version: 3.4.0\n",
+ " tracking_id: hdl:21.14100/d6f0f6b2-b4c2-460b-bc5e-f1c72f932399"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds"
+ ]
+ },
{
"cell_type": "markdown",
"id": "2887ced5-7341-49e0-b0f0-511d68f55c74",
@@ -126,7 +1027,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 6,
"id": "5fb665bb-fdd1-47be-81ce-51d71506533c",
"metadata": {
"tags": []
@@ -136,7 +1037,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "https://l40038.lvt.dkrz.de:9010/intake.yaml\n"
+ "https://l40356.lvt.dkrz.de:9010/intake.yaml\n"
]
}
],
@@ -147,7 +1048,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 7,
"id": "54d805e3-6e73-46bd-838e-b8d61ecec2d6",
"metadata": {
"tags": []
@@ -159,7 +1060,7 @@
"['example']"
]
},
- "execution_count": 6,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -175,7 +1076,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 8,
"id": "62eb5ed4-9635-4e0d-822d-38ca5aad386f",
"metadata": {
"tags": []
@@ -559,7 +1460,6 @@
"</style><pre class='xr-text-repr-fallback'><xarray.Dataset> Size: 314MB\n",
"Dimensions: (lat: 192, time: 1032, bnds: 2, lon: 384)\n",
"Coordinates:\n",
- " height float64 8B ...\n",
" * lat (lat) float64 2kB -89.28 -88.36 -87.42 ... 87.42 88.36 89.28\n",
" * lon (lon) float64 3kB 0.0 0.9375 1.875 2.812 ... 357.2 358.1 359.1\n",
" * time (time) datetime64[ns] 8kB 2015-01-16T12:00:00 ... 2100-12-16T1...\n",
@@ -568,7 +1468,7 @@
" lat_bnds (time, lat, bnds) float64 3MB dask.array<chunksize=(60, 192, 2), meta=np.ndarray>\n",
" lon_bnds (time, lon, bnds) float64 6MB dask.array<chunksize=(60, 384, 2), meta=np.ndarray>\n",
" tas (time, lat, lon) float32 304MB dask.array<chunksize=(1, 192, 384), meta=np.ndarray>\n",
- " time_bnds (time, bnds) datetime64[ns] 17kB dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
+ " time_bnds (time, bnds) datetime64[ns] 17kB dask.array<chunksize=(1032, 2), meta=np.ndarray>\n",
"Attributes: (12/47)\n",
" Conventions: CF-1.7 CMIP-6.2\n",
" activity_id: ScenarioMIP AerChemMIP\n",
@@ -582,7 +1482,7 @@
" variant_label: r1i1p1f1\n",
" license: CMIP6 model data produced by DKRZ is licensed und...\n",
" cmor_version: 3.4.0\n",
- " tracking_id: hdl:21.14100/d6f0f6b2-b4c2-460b-bc5e-f1c72f932399</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-8010f2a4-95dd-4644-a54c-5bd173267ac7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8010f2a4-95dd-4644-a54c-5bd173267ac7' 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'>lat</span>: 192</li><li><span class='xr-has-index'>time</span>: 1032</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 384</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c06ee0ba-a9ae-4998-a799-95ab6921e079' class='xr-section-summary-in' type='checkbox' checked><label for='section-c06ee0ba-a9ae-4998-a799-95ab6921e079' class='xr-section-summary' >Coordinates: <span>(4)</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>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c1ae7e1a-18b7-4dd4-b633-227076cc00fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1ae7e1a-18b7-4dd4-b633-227076cc00fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5645c449-dcc0-488f-8d92-e3359cd665f3' class='xr-var-data-in' type='checkbox'><label for='data-5645c449-dcc0-488f-8d92-e3359cd665f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.28 -88.36 ... 88.36 89.28</div><input id='attrs-c385ec02-3734-4983-ba49-8ebbff64631b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c385ec02-3734-4983-ba49-8ebbff64631b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc7442ca-a035-472b-91da-c090ee5aa0c8' class='xr-var-data-in' type='checkbox'><label for='data-cc7442ca-a035-472b-91da-c090ee5aa0c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.284228, -88.357004, -87.424304, -86.490367, -85.55596 , -84.621327,\n",
+ " tracking_id: hdl:21.14100/d6f0f6b2-b4c2-460b-bc5e-f1c72f932399</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-906b9e5d-6e4d-4ed7-8137-425c81eedeab' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-906b9e5d-6e4d-4ed7-8137-425c81eedeab' 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'>lat</span>: 192</li><li><span class='xr-has-index'>time</span>: 1032</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 384</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-060c70cc-e040-47a8-b1dc-193f560ef905' class='xr-section-summary-in' type='checkbox' checked><label for='section-060c70cc-e040-47a8-b1dc-193f560ef905' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.28 -88.36 ... 88.36 89.28</div><input id='attrs-825f446d-fe93-4460-8f0d-332971c67eb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-825f446d-fe93-4460-8f0d-332971c67eb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b652a24-6a03-4fbe-8f47-ba029d05bc8c' class='xr-var-data-in' type='checkbox'><label for='data-9b652a24-6a03-4fbe-8f47-ba029d05bc8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.284228, -88.357004, -87.424304, -86.490367, -85.55596 , -84.621327,\n",
" -83.686567, -82.751728, -81.816839, -80.881913, -79.946962, -79.011992,\n",
" -78.077007, -77.142011, -76.207005, -75.271992, -74.336973, -73.401949,\n",
" -72.466921, -71.531889, -70.596854, -69.661816, -68.726776, -67.791734,\n",
@@ -613,10 +1513,10 @@
" 67.791734, 68.726776, 69.661816, 70.596854, 71.531889, 72.466921,\n",
" 73.401949, 74.336973, 75.271992, 76.207005, 77.142011, 78.077007,\n",
" 79.011992, 79.946962, 80.881913, 81.816839, 82.751728, 83.686567,\n",
- " 84.621327, 85.55596 , 86.490367, 87.424304, 88.357004, 89.284228])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.9375 1.875 ... 358.1 359.1</div><input id='attrs-3c9850f6-a04e-47e5-9fd9-c947e3e107fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c9850f6-a04e-47e5-9fd9-c947e3e107fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-810e4324-6d65-4c9d-b443-ac255d127b62' class='xr-var-data-in' type='checkbox'><label for='data-810e4324-6d65-4c9d-b443-ac255d127b62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 0.9375, 1.875 , ..., 357.1875, 358.125 , 359.0625])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-01-16T12:00:00 ... 2100-12-...</div><input id='attrs-3b6624fb-f68b-4c59-a157-173c1e40312f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b6624fb-f68b-4c59-a157-173c1e40312f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bc44b6d-7b7e-4c4d-84e3-76abd41e988e' class='xr-var-data-in' type='checkbox'><label for='data-8bc44b6d-7b7e-4c4d-84e3-76abd41e988e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2015-01-16T12:00:00.000000000', '2015-02-15T00:00:00.000000000',\n",
+ " 84.621327, 85.55596 , 86.490367, 87.424304, 88.357004, 89.284228])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.9375 1.875 ... 358.1 359.1</div><input id='attrs-1cc91682-b94a-45f6-b304-014444b38b17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cc91682-b94a-45f6-b304-014444b38b17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4975f915-aca7-4c28-a8cd-85f22b1591f7' class='xr-var-data-in' type='checkbox'><label for='data-4975f915-aca7-4c28-a8cd-85f22b1591f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 0.9375, 1.875 , ..., 357.1875, 358.125 , 359.0625])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-01-16T12:00:00 ... 2100-12-...</div><input id='attrs-07ebb847-6ac8-4dde-a7ed-479941ec0389' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07ebb847-6ac8-4dde-a7ed-479941ec0389' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-def95240-5fb3-4d02-b15d-37ade4934f20' class='xr-var-data-in' type='checkbox'><label for='data-def95240-5fb3-4d02-b15d-37ade4934f20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2015-01-16T12:00:00.000000000', '2015-02-15T00:00:00.000000000',\n",
" '2015-03-16T12:00:00.000000000', ..., '2100-10-16T12:00:00.000000000',\n",
" '2100-11-16T00:00:00.000000000', '2100-12-16T12:00:00.000000000'],\n",
- " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9acbb0ed-6110-4ce7-82c1-cedc776d0ff8' class='xr-section-summary-in' type='checkbox' checked><label for='section-9acbb0ed-6110-4ce7-82c1-cedc776d0ff8' class='xr-section-summary' >Data variables: <span>(4)</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_bnds</span></div><div class='xr-var-dims'>(time, lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(60, 192, 2), meta=np.ndarray></div><input id='attrs-5b45df16-eed0-44da-b6d6-6946db30b52b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b45df16-eed0-44da-b6d6-6946db30b52b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6be46f45-29e3-44b7-a836-866f19360957' class='xr-var-data-in' type='checkbox'><label for='data-6be46f45-29e3-44b7-a836-866f19360957' 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'></dl></div><div class='xr-var-data'><table>\n",
+ " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52c9c0d7-2381-4c7b-a1e7-782cb05644aa' class='xr-section-summary-in' type='checkbox' checked><label for='section-52c9c0d7-2381-4c7b-a1e7-782cb05644aa' class='xr-section-summary' >Data variables: <span>(4)</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_bnds</span></div><div class='xr-var-dims'>(time, lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(60, 192, 2), meta=np.ndarray></div><input id='attrs-cbe8c67d-9537-4156-982b-b9ce807c20f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cbe8c67d-9537-4156-982b-b9ce807c20f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fba39978-0630-4eeb-b9c4-04dbed5f72ee' class='xr-var-data-in' type='checkbox'><label for='data-fba39978-0630-4eeb-b9c4-04dbed5f72ee' 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'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
@@ -728,7 +1628,7 @@
"</svg>\n",
" </td>\n",
" </tr>\n",
- "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(time, lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(60, 384, 2), meta=np.ndarray></div><input id='attrs-3967b11d-f035-4b8e-9c75-e9fcca4a409a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3967b11d-f035-4b8e-9c75-e9fcca4a409a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ad4f204-3002-4f12-a8db-b381c34fcdb2' class='xr-var-data-in' type='checkbox'><label for='data-8ad4f204-3002-4f12-a8db-b381c34fcdb2' 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'></dl></div><div class='xr-var-data'><table>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(time, lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(60, 384, 2), meta=np.ndarray></div><input id='attrs-a49064e3-3c98-4c3f-9dd0-105e9652ce37' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a49064e3-3c98-4c3f-9dd0-105e9652ce37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f237c88-c00e-4f18-83de-058ab21e0bc6' class='xr-var-data-in' type='checkbox'><label for='data-6f237c88-c00e-4f18-83de-058ab21e0bc6' 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'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
@@ -840,7 +1740,7 @@
"</svg>\n",
" </td>\n",
" </tr>\n",
- "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 192, 384), meta=np.ndarray></div><input id='attrs-ffcde0bf-7cb4-4d04-9218-0e81e21b7b9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffcde0bf-7cb4-4d04-9218-0e81e21b7b9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dfef2f3-6344-454b-b5cb-c5d00d7aa38d' class='xr-var-data-in' type='checkbox'><label for='data-4dfef2f3-6344-454b-b5cb-c5d00d7aa38d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>comment :</span></dt><dd>near-surface (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-07-20T13:41:51Z altered by CMOR: Treated scalar dimension: 'height'. 2019-07-20T13:41:51Z altered by CMOR: replaced missing value flag (-9e+33) with standard missing value (1e+20). 2019-07-20T13:41:51Z altered by CMOR: Converted type from 'd' to 'f'. 2019-07-20T13:41:52Z altered by CMOR: Inverted axis: lat.</dd></dl></div><div class='xr-var-data'><table>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 192, 384), meta=np.ndarray></div><input id='attrs-e2db33e5-ce82-48e2-81cb-b9a0d327956e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2db33e5-ce82-48e2-81cb-b9a0d327956e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d870bff0-be85-44da-adaf-857669fb0e9f' class='xr-var-data-in' type='checkbox'><label for='data-d870bff0-be85-44da-adaf-857669fb0e9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>comment :</span></dt><dd>near-surface (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-07-20T13:41:51Z altered by CMOR: Treated scalar dimension: 'height'. 2019-07-20T13:41:51Z altered by CMOR: replaced missing value flag (-9e+33) with standard missing value (1e+20). 2019-07-20T13:41:51Z altered by CMOR: Converted type from 'd' to 'f'. 2019-07-20T13:41:52Z altered by CMOR: Inverted axis: lat.</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
@@ -954,7 +1854,7 @@
"</svg>\n",
" </td>\n",
" </tr>\n",
- "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 2), meta=np.ndarray></div><input id='attrs-d485eb28-3fdd-432b-b46d-c55477340a0a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d485eb28-3fdd-432b-b46d-c55477340a0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b1c40a2-9711-4bce-b418-3565853131dc' class='xr-var-data-in' type='checkbox'><label for='data-4b1c40a2-9711-4bce-b418-3565853131dc' 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'></dl></div><div class='xr-var-data'><table>\n",
+ "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1032, 2), meta=np.ndarray></div><input id='attrs-0d058241-4c1c-4fc5-a541-785b4c6871a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d058241-4c1c-4fc5-a541-785b4c6871a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c36635b-c211-4169-b036-ce9a1a3ff8b8' class='xr-var-data-in' type='checkbox'><label for='data-6c36635b-c211-4169-b036-ce9a1a3ff8b8' 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'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
@@ -970,17 +1870,17 @@
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 16.12 kiB </td>\n",
- " <td> 16 B </td>\n",
+ " <td> 16.12 kiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (1032, 2) </td>\n",
- " <td> (1, 2) </td>\n",
+ " <td> (1032, 2) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
- " <td colspan=\"2\"> 1032 chunks in 2 graph layers </td>\n",
+ " <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
@@ -994,24 +1894,6 @@
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
- " <line x1=\"0\" y1=\"6\" x2=\"25\" y2=\"6\" />\n",
- " <line x1=\"0\" y1=\"12\" x2=\"25\" y2=\"12\" />\n",
- " <line x1=\"0\" y1=\"18\" x2=\"25\" y2=\"18\" />\n",
- " <line x1=\"0\" y1=\"25\" x2=\"25\" y2=\"25\" />\n",
- " <line x1=\"0\" y1=\"31\" x2=\"25\" y2=\"31\" />\n",
- " <line x1=\"0\" y1=\"37\" x2=\"25\" y2=\"37\" />\n",
- " <line x1=\"0\" y1=\"44\" x2=\"25\" y2=\"44\" />\n",
- " <line x1=\"0\" y1=\"50\" x2=\"25\" y2=\"50\" />\n",
- " <line x1=\"0\" y1=\"56\" x2=\"25\" y2=\"56\" />\n",
- " <line x1=\"0\" y1=\"63\" x2=\"25\" y2=\"63\" />\n",
- " <line x1=\"0\" y1=\"69\" x2=\"25\" y2=\"69\" />\n",
- " <line x1=\"0\" y1=\"75\" x2=\"25\" y2=\"75\" />\n",
- " <line x1=\"0\" y1=\"82\" x2=\"25\" y2=\"82\" />\n",
- " <line x1=\"0\" y1=\"88\" x2=\"25\" y2=\"88\" />\n",
- " <line x1=\"0\" y1=\"94\" x2=\"25\" y2=\"94\" />\n",
- " <line x1=\"0\" y1=\"101\" x2=\"25\" y2=\"101\" />\n",
- " <line x1=\"0\" y1=\"107\" x2=\"25\" y2=\"107\" />\n",
- " <line x1=\"0\" y1=\"113\" x2=\"25\" y2=\"113\" />\n",
" <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
@@ -1019,7 +1901,7 @@
" <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
- " <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
+ " <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
@@ -1027,7 +1909,7 @@
"</svg>\n",
" </td>\n",
" </tr>\n",
- "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4c90b53-b1bd-4a68-a799-088b1725a55b' class='xr-section-summary-in' type='checkbox' ><label for='section-d4c90b53-b1bd-4a68-a799-088b1725a55b' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b846c9df-2f7e-4d46-a9ef-8c19872e245c' class='xr-index-data-in' type='checkbox'/><label for='index-b846c9df-2f7e-4d46-a9ef-8c19872e245c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.28422753251364, -88.35700351866494, -87.42430374606988,\n",
+ "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb7cd68d-d7f9-487a-91b7-add0d87c3292' class='xr-section-summary-in' type='checkbox' ><label for='section-cb7cd68d-d7f9-487a-91b7-add0d87c3292' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-07650f7c-2ee6-4dad-9783-8dd1eeca0df3' class='xr-index-data-in' type='checkbox'/><label for='index-07650f7c-2ee6-4dad-9783-8dd1eeca0df3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.28422753251364, -88.35700351866494, -87.42430374606988,\n",
" -86.49036676628116, -85.55596048489265, -84.6213271076488,\n",
" -83.68656681656385, -82.75172847343066, -81.81683872860319,\n",
" -80.8819133467975,\n",
@@ -1036,12 +1918,12 @@
" 83.68656681656385, 84.6213271076488, 85.55596048489265,\n",
" 86.49036676628116, 87.42430374606988, 88.35700351866494,\n",
" 89.28422753251364],\n",
- " dtype='float64', name='lat', length=192))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-18c8be83-e0e9-4b50-ac5f-c4f660de6eae' class='xr-index-data-in' type='checkbox'/><label for='index-18c8be83-e0e9-4b50-ac5f-c4f660de6eae' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0, 0.9375, 1.875, 2.8125, 3.75, 4.6875, 5.625,\n",
+ " dtype='float64', name='lat', length=192))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3f2f2079-0a0d-4c45-92cd-1c56e9cc877e' class='xr-index-data-in' type='checkbox'/><label for='index-3f2f2079-0a0d-4c45-92cd-1c56e9cc877e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0, 0.9375, 1.875, 2.8125, 3.75, 4.6875, 5.625,\n",
" 6.5625, 7.5, 8.4375,\n",
" ...\n",
" 350.625, 351.5625, 352.5, 353.4375, 354.375, 355.3125, 356.25,\n",
" 357.1875, 358.125, 359.0625],\n",
- " dtype='float64', name='lon', length=384))</pre></div></li><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-50886115-b34f-4002-b84d-d180ef5591c4' class='xr-index-data-in' type='checkbox'/><label for='index-50886115-b34f-4002-b84d-d180ef5591c4' 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(['2015-01-16 12:00:00', '2015-02-15 00:00:00',\n",
+ " dtype='float64', name='lon', length=384))</pre></div></li><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-6d1b370f-496e-4d1c-a714-728d1b504630' class='xr-index-data-in' type='checkbox'/><label for='index-6d1b370f-496e-4d1c-a714-728d1b504630' 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(['2015-01-16 12:00:00', '2015-02-15 00:00:00',\n",
" '2015-03-16 12:00:00', '2015-04-16 00:00:00',\n",
" '2015-05-16 12:00:00', '2015-06-16 00:00:00',\n",
" '2015-07-16 12:00:00', '2015-08-16 12:00:00',\n",
@@ -1052,7 +1934,7 @@
" '2100-07-16 12:00:00', '2100-08-16 12:00:00',\n",
" '2100-09-16 00:00:00', '2100-10-16 12:00:00',\n",
" '2100-11-16 00:00:00', '2100-12-16 12:00:00'],\n",
- " dtype='datetime64[ns]', name='time', length=1032, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f048501-9c24-4e00-8a35-212fb498ebcc' class='xr-section-summary-in' type='checkbox' ><label for='section-8f048501-9c24-4e00-8a35-212fb498ebcc' class='xr-section-summary' >Attributes: <span>(47)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP AerChemMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>60265.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60265.0</dd><dt><span>contact :</span></dt><dd>cmip6-mpi-esm@dkrz.de</dd><dt><span>creation_date :</span></dt><dd>2019-07-20T13:41:51Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.30</dd><dt><span>experiment :</span></dt><dd>gap-filling scenario reaching 7.0 based on SSP3</dd><dt><span>experiment_id :</span></dt><dd>ssp370</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.DKRZ.MPI-ESM1-2-HR.ssp370.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>gn</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-07-20T13:41:51Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Deutsches Klimarechenzentrum, Hamburg 20146, Germany</dd><dt><span>institution_id :</span></dt><dd>DKRZ</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>MPI-ESM1-2-HR</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-1-1 00:00:00</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>project_id :</span></dt><dd>CMIP6</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>MPI-ESM: Mauritsen, T. et al. (2019), Developments in the MPIâ€M Earth System Model version 1.2 (MPIâ€ESM1.2) and Its Response to Increasing CO2, J. Adv. Model. Earth Syst.,11, 998-1038, doi:10.1029/2018MS001400,\n",
+ " dtype='datetime64[ns]', name='time', length=1032, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3eaab708-3140-4f66-8629-609d730d0844' class='xr-section-summary-in' type='checkbox' ><label for='section-3eaab708-3140-4f66-8629-609d730d0844' class='xr-section-summary' >Attributes: <span>(47)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP AerChemMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>60265.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60265.0</dd><dt><span>contact :</span></dt><dd>cmip6-mpi-esm@dkrz.de</dd><dt><span>creation_date :</span></dt><dd>2019-07-20T13:41:51Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.30</dd><dt><span>experiment :</span></dt><dd>gap-filling scenario reaching 7.0 based on SSP3</dd><dt><span>experiment_id :</span></dt><dd>ssp370</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.DKRZ.MPI-ESM1-2-HR.ssp370.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>gn</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-07-20T13:41:51Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Deutsches Klimarechenzentrum, Hamburg 20146, Germany</dd><dt><span>institution_id :</span></dt><dd>DKRZ</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>MPI-ESM1-2-HR</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-1-1 00:00:00</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>project_id :</span></dt><dd>CMIP6</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>MPI-ESM: Mauritsen, T. et al. (2019), Developments in the MPIâ€M Earth System Model version 1.2 (MPIâ€ESM1.2) and Its Response to Increasing CO2, J. Adv. Model. Earth Syst.,11, 998-1038, doi:10.1029/2018MS001400,\n",
"Mueller, W.A. et al. (2018): A highâ€resolution version of the Max Planck Institute Earth System Model MPIâ€ESM1.2â€HR. J. Adv. Model. EarthSyst.,10,1383–1413, doi:10.1029/2017MS001217</dd><dt><span>source :</span></dt><dd>MPI-ESM1.2-HR (2017): \n",
"aerosol: none, prescribed MACv2-SP\n",
"atmos: ECHAM6.3 (spectral T127; 384 x 192 longitude/latitude; 95 levels; top level 0.01 hPa)\n",
@@ -1067,7 +1949,6 @@
"<xarray.Dataset> Size: 314MB\n",
"Dimensions: (lat: 192, time: 1032, bnds: 2, lon: 384)\n",
"Coordinates:\n",
- " height float64 8B ...\n",
" * lat (lat) float64 2kB -89.28 -88.36 -87.42 ... 87.42 88.36 89.28\n",
" * lon (lon) float64 3kB 0.0 0.9375 1.875 2.812 ... 357.2 358.1 359.1\n",
" * time (time) datetime64[ns] 8kB 2015-01-16T12:00:00 ... 2100-12-16T1...\n",
@@ -1076,7 +1957,7 @@
" lat_bnds (time, lat, bnds) float64 3MB dask.array<chunksize=(60, 192, 2), meta=np.ndarray>\n",
" lon_bnds (time, lon, bnds) float64 6MB dask.array<chunksize=(60, 384, 2), meta=np.ndarray>\n",
" tas (time, lat, lon) float32 304MB dask.array<chunksize=(1, 192, 384), meta=np.ndarray>\n",
- " time_bnds (time, bnds) datetime64[ns] 17kB dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
+ " time_bnds (time, bnds) datetime64[ns] 17kB dask.array<chunksize=(1032, 2), meta=np.ndarray>\n",
"Attributes: (12/47)\n",
" Conventions: CF-1.7 CMIP-6.2\n",
" activity_id: ScenarioMIP AerChemMIP\n",
@@ -1093,7 +1974,7 @@
" tracking_id: hdl:21.14100/d6f0f6b2-b4c2-460b-bc5e-f1c72f932399"
]
},
- "execution_count": 7,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -1114,7 +1995,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 9,
"id": "9355a45a-2f0f-4923-967c-85afacdfcab7",
"metadata": {
"tags": []
@@ -1126,7 +2007,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 10,
"id": "7d4148b1-5e49-4b0b-8450-2928e823471d",
"metadata": {
"tags": []
@@ -1701,7 +2582,7 @@
" \n",
" <li class=\"pystac-row\">\n",
" <span class=\"pystac-k\">datetime</span>\n",
- " <span class=\"pystac-v\">\"2025-01-08T10:19:07.113611Z\"</span>\n",
+ " <span class=\"pystac-v\">\"2025-01-23T10:03:11.515562Z\"</span>\n",
" </li>\n",
" \n",
" \n",
@@ -2663,7 +3544,7 @@
"<Item id=example>"
]
},
- "execution_count": 9,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -2680,7 +3561,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 11,
"id": "9f7edcd1-a4ba-40e1-ae6c-2c120e8ffcdb",
"metadata": {},
"outputs": [
@@ -2691,7 +3572,7 @@
" 'xarray_view': <Asset href=https://eerie.cloud.dkrz.de/datasets/example/>}"
]
},
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -2715,138 +3596,151 @@
"source": [
"### cdo\n",
"\n",
- "We are developing a cdo version that can read cloudified data with netcdf-zarr via http. The built netcdf is a testversion that prints some profiling warnings and hdf errors that often can be ignored. In 01/2025, it lacks port parsing which is why we cannot use it on internal apps on levante. Until this is solved, we can see how it works with the eerie.cloud:"
+ "We are developing a cdo version that can read cloudified data with netcdf-zarr via http. The built netcdf is a testversion.\n",
+ "\n",
+ "- add your self signed ssl certificate to the following bash code block\n",
+ "- add the zarr_url as it has to be hard coded\n",
+ "- check if the HDF5_PLUGIN_PATH exists"
]
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 12,
+ "id": "a88c2a3e-af9e-46db-aaf5-72b098810dab",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "https://l40356.lvt.dkrz.de:9010/datasets/example/zarr\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(zarr_url)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "21a0ada8-1502-46ac-b97b-82f86098ae65",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "lib__nch5blosc.so lib__nch5fletcher32.so lib__nch5zstd.so\n",
+ "lib__nch5bzip2.so lib__nch5shuffle.so lib__nczhdf5filters.so\n",
+ "lib__nch5deflate.so lib__nch5szip.so\t lib__nczstdfilters.so\n"
+ ]
+ }
+ ],
+ "source": [
+ "!ls /fastdata/k20200/k202186/public/hdf5/plugins/"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "bc169c07-388a-435d-8cd7-f56e54e6b8c6",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "/work/bm0021/k204210/cloudify/workshop\n"
+ ]
+ }
+ ],
+ "source": [
+ "!echo $(pwd)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
"id": "feacaed0-df8d-4e52-af8c-acd094cac6f4",
"metadata": {},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "cdi warning (cdf_read_coordinates): Time varying grid x-bounds unsupported, skipped!\n",
+ "cdi warning (cdf_read_coordinates): Time varying grid y-bounds unsupported, skipped!\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\u001b[0;1m File format\u001b[0m : NCZarr filter\n",
- "\u001b[0;1m -1 : Institut Source T Steptype Levels Num Points Num Dtype : Parameter ID\u001b[0m\n",
- " 1 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -1 \n",
- " 2 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -2 \n",
- " 3 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -3 \n",
- " 4 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -4 \n",
- " 5 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -5 \n",
- " 6 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -6 \n",
- " 7 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -7 \n",
- " 8 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -8 \n",
- " 9 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -9 \n",
- " 10 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -10 \n",
- " 11 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -11 \n",
- " 12 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -12 \n",
- " 13 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -13 \n",
- " 14 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -14 \n",
- " 15 : \u001b[34munknown ECMWF v instant \u001b[0m\u001b[32m 1 \u001b[0m 1 \u001b[32m 542080 \u001b[0m 1 \u001b[34m F64f \u001b[0m: -15 \n",
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- "\u001b[0;1m Grid coordinates\u001b[0m :\n",
- " 1 : \u001b[34munstructured \u001b[0m : \u001b[32mpoints=542080\u001b[0m\n",
- " lon : 0 to 359.7188 degrees_east\n",
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- "\u001b[0;1m Vertical coordinates\u001b[0m :\n",
- " 1 : \u001b[34msurface \u001b[0m :\u001b[32m levels=1\u001b[0m\n",
- "\u001b[0;1m Time coordinate\u001b[0m :\n",
- " time : \u001b[32m736344 steps\n",
- "\u001b[0m RefTime = 1940-01-01 00:00:00 Units = hours Calendar = proleptic_gregorian\n",
+ " File format : NCZarr filter\n",
+ " -1 : Institut Source T Steptype Levels Num Points Num Dtype : Parameter ID\n",
+ " 1 : unknown MPI-ESM1.2-HR v instant 1 1 73728 1 F32f : -1 \n",
+ " Grid coordinates :\n",
+ " 1 : gaussian : points=73728 (384x192) F96\n",
+ " lon : 0 to 359.0625 by 0.9375 degrees_east circular\n",
+ " lat : -89.28423 to 89.28423 degrees_north\n",
+ " Vertical coordinates :\n",
+ " 1 : surface : levels=1\n",
+ " Time coordinate :\n",
+ " time : 1032 steps\n",
+ " RefTime = 1850-01-01 00:00:00 Units = days Calendar = proleptic_gregorian Bounds = true\n",
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"source": [
+ "%%bash\n",
+ "export SSL_CERT_FILE=/work/bm0021/k204210/cloudify/workshop/cert.pem \n",
+ "export HDF5_PLUGIN_PATH=/fastdata/k20200/k202186/public/hdf5/plugins/ \n",
"cdo=\"/work/bm0021/cdo_incl_cmor/cdo-test_cmortest_gcc/bin/cdo\"\n",
- "hosturl=\"https://eerie.cloud.dkrz.de\"\n",
- "dsname=\"era5-dkrz.surface_analysis_hourly\"\n",
- "#\n",
- "zarr_url='/'.join([hosturl,\"datasets\",dsname,\"zarr\"])\n",
- "zarr_prefix=\"\\#mode\\=zarr,s3,consolidated\"\n",
- "infile=zarr_url+zarr_prefix\n",
+ "zarr_prefix=\"#mode=zarr,s3\"\n",
+ "infile=\"https://l40356.lvt.dkrz.de:9010/datasets/example/zarr${zarr_prefix}\"\n",
"#\n",
- "!{cdo} sinfo {infile}"
+ "$cdo sinfo $infile"
]
},
{
@@ -2859,51 +3753,44 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 19,
"id": "649c9d80-45d2-4349-bb7d-605c666e917f",
"metadata": {
"tags": []
},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "cdi warning (cdf_read_coordinates): Time varying grid x-bounds unsupported, skipped!\n",
+ "cdi warning (cdf_read_coordinates): Time varying grid y-bounds unsupported, skipped!\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
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- "\u001b[32mcdo info: \u001b[0mProcessed 542080 values from 1 variable over 1 timestep [6.99s 3675MB]\n",
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+ " -1 : Date Time Level Gridsize Miss : Minimum Mean Maximum : Parameter ID\n",
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"source": [
- "!{cdo} info -select,name=2t,timestep=1 {infile}"
+ "%%bash\n",
+ "export SSL_CERT_FILE=/work/bm0021/k204210/cloudify/workshop/cert.pem \n",
+ "export HDF5_PLUGIN_PATH=/fastdata/k20200/k202186/public/hdf5/plugins/ \n",
+ "cdo=\"/work/bm0021/cdo_incl_cmor/cdo-test_cmortest_gcc/bin/cdo\"\n",
+ "zarr_prefix=\"#mode=zarr,s3\"\n",
+ "infile=\"https://l40356.lvt.dkrz.de:9010/datasets/example/zarr${zarr_prefix}\"\n",
+ "#\n",
+ "$cdo info -select,name=tas,timestep=1 $infile"
]
},
{
"cell_type": "code",
"execution_count": null,
- "id": "13c929e7-fda2-4d71-a07f-6f5ed9043ec4",
+ "id": "08f7de1e-8feb-4a7e-a458-fdae5ca01c88",
"metadata": {},
"outputs": [],
"source": []