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@aidanheerdegen
Created July 4, 2022 07:06
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"### Following Paola's instrcution, I've concatenate era5 reanalysis (10v) into one big file\n",
"\n",
"import intake\n",
"from dask.distributed import Client"
]
},
{
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" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-23f4815d-fb67-11ec-b1e8-00000763fe80</p>\n",
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"\n",
" <tr>\n",
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"\n",
" \n",
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" <strong>Dashboard: </strong> <a href=\"/proxy/8787/status\" target=\"_blank\">/proxy/8787/status</a>\n",
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" \n",
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" <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
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" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">7ccb8f25</p>\n",
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" <strong>Workers:</strong> 4\n",
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" <strong>Total threads:</strong> 8\n",
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" <strong>Total memory:</strong> 72.00 GiB\n",
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" <strong>Total memory:</strong> 72.00 GiB\n",
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" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:43931\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 2\n",
" </td>\n",
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" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"/proxy/44341/status\" target=\"_blank\">/proxy/44341/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 18.00 GiB\n",
" </td>\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:38535\n",
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" <strong>Dashboard: </strong> <a href=\"/proxy/33501/status\" target=\"_blank\">/proxy/33501/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 18.00 GiB\n",
" </td>\n",
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" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:35365\n",
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" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /jobfs/50319313.gadi-pbs/dask-worker-space/worker-2c5zqkvu\n",
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"\n",
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" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
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" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:38127\n",
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" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 2\n",
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" <strong>Dashboard: </strong> <a href=\"/proxy/44493/status\" target=\"_blank\">/proxy/44493/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 18.00 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:44491\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /jobfs/50319313.gadi-pbs/dask-worker-space/worker-0ldbcgnv\n",
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"\n",
" \n",
"\n",
" \n",
"\n",
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" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:37067\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 2\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"/proxy/41237/status\" target=\"_blank\">/proxy/41237/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 18.00 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:34171\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /jobfs/50319313.gadi-pbs/dask-worker-space/worker-90eqbipc\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
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" </details>\n",
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" \n",
"\n",
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"\n",
" </details>\n",
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"</div>\n",
" </details>\n",
" \n",
"\n",
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"<Client: 'tcp://127.0.0.1:36033' processes=4 threads=8, memory=72.00 GiB>"
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"client = Client(n_workers=4)\n",
"client"
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"text": [
"\n",
"--> The keys in the returned dictionary of datasets are constructed as follows:\n",
"\t'sub_collection.dataset.product_type'\n"
]
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"source": [
"cat = intake.cat.nci\n",
"\n",
"\n",
"era5 = cat.era5\n",
"\n",
"sub = era5.search(sub_collection='era5',dataset='single-levels', product_type='reanalysis',\n",
" parameter='10v', year=[x for x in range(1979,2020)])\n",
"\n",
"ds_dict = sub.to_dataset_dict()\n",
"\n",
"ds = ds_dict['era5.single-levels.reanalysis']\n",
"\n",
"myregion = ds.sel(latitude=slice(0,-60),longitude=slice(100,180))\n",
"\n",
"v10 = myregion['v10']"
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;v10&#x27; (time: 359400, latitude: 241, longitude: 320)&gt;\n",
"dask.array&lt;getitem, shape=(359400, 241, 320), dtype=float32, chunksize=(744, 241, 320), chunktype=numpy.ndarray&gt;\n",
"Coordinates:\n",
" * longitude (longitude) float32 100.0 100.2 100.5 100.8 ... 179.2 179.5 179.8\n",
" * latitude (latitude) float32 0.0 -0.25 -0.5 -0.75 ... -59.5 -59.75 -60.0\n",
" * time (time) datetime64[ns] 1979-01-01 ... 2019-12-31T23:00:00\n",
"Attributes:\n",
" units: m s**-1\n",
" long_name: 10 metre V wind component</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'v10'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 359400</li><li><span class='xr-has-index'>latitude</span>: 241</li><li><span class='xr-has-index'>longitude</span>: 320</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ead24146-9204-4334-b098-e98013618dd5' class='xr-array-in' type='checkbox' checked><label for='section-ead24146-9204-4334-b098-e98013618dd5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(744, 241, 320), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
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" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 103.25 GiB </td>\n",
" <td> 218.88 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (359400, 241, 320) </td>\n",
" <td> (744, 241, 320) </td>\n",
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" <tr>\n",
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" <td> 1968 Tasks </td>\n",
" <td> 492 Chunks </td>\n",
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" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-a451362b-0f95-4c38-b689-406e8d67c559' class='xr-section-summary-in' type='checkbox' checked><label for='section-a451362b-0f95-4c38-b689-406e8d67c559' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>100.0 100.2 100.5 ... 179.5 179.8</div><input id='attrs-de6d6cb0-dd21-4bce-945c-31e74c788203' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de6d6cb0-dd21-4bce-945c-31e74c788203' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3b8bf34-d9d5-4c69-86c9-d24c1d7965da' class='xr-var-data-in' type='checkbox'><label for='data-f3b8bf34-d9d5-4c69-86c9-d24c1d7965da' 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>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([100. , 100.25, 100.5 , ..., 179.25, 179.5 , 179.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -0.25 -0.5 ... -59.75 -60.0</div><input id='attrs-6e04ca4e-2a17-4042-9f79-7d8eef1e2fdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e04ca4e-2a17-4042-9f79-7d8eef1e2fdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37287567-5b7e-4b98-a0e7-ac3321ccd947' class='xr-var-data-in' type='checkbox'><label for='data-37287567-5b7e-4b98-a0e7-ac3321ccd947' 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>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , -0.25, -0.5 , ..., -59.5 , -59.75, -60. ], dtype=float32)</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'>1979-01-01 ... 2019-12-31T23:00:00</div><input id='attrs-7f255191-6a64-4a99-aa68-1c9df4e8fee1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f255191-6a64-4a99-aa68-1c9df4e8fee1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e31f799d-7176-4728-bf1d-561be714be67' class='xr-var-data-in' type='checkbox'><label for='data-e31f799d-7176-4728-bf1d-561be714be67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-01-01T01:00:00.000000000&#x27;,\n",
" &#x27;1979-01-01T02:00:00.000000000&#x27;, ..., &#x27;2019-12-31T21:00:00.000000000&#x27;,\n",
" &#x27;2019-12-31T22:00:00.000000000&#x27;, &#x27;2019-12-31T23:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a8e9c3e8-7890-4ab0-a9c2-1043d9e0bb27' class='xr-section-summary-in' type='checkbox' checked><label for='section-a8e9c3e8-7890-4ab0-a9c2-1043d9e0bb27' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'v10' (time: 359400, latitude: 241, longitude: 320)>\n",
"dask.array<getitem, shape=(359400, 241, 320), dtype=float32, chunksize=(744, 241, 320), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" * longitude (longitude) float32 100.0 100.2 100.5 100.8 ... 179.2 179.5 179.8\n",
" * latitude (latitude) float32 0.0 -0.25 -0.5 -0.75 ... -59.5 -59.75 -60.0\n",
" * time (time) datetime64[ns] 1979-01-01 ... 2019-12-31T23:00:00\n",
"Attributes:\n",
" units: m s**-1\n",
" long_name: 10 metre V wind component"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"v10"
]
},
{
"cell_type": "markdown",
"id": "227f8379-8846-444a-8248-039afb2fe866",
"metadata": {},
"source": [
"Now, I'd like to take time-averaged upon the v10 fields for a certain range (such as 1979-01-01 to 2010-12-31)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "5a1e4722-858a-4241-be65-4b8a489e874a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 14.5 s, sys: 1.2 s, total: 15.7 s\n",
"Wall time: 1min 35s\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x153f1834bdc0>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%%time\n",
"v10.sel(time=slice('1979-01-01','2010-12-31')).mean('time').plot()"
]
},
{
"cell_type": "markdown",
"id": "2eafa189-dbd1-4f05-91d7-3cb9c992fcfb",
"metadata": {},
"source": [
"It takes a long time, and I cannot get the plot very quickly"
]
},
{
"cell_type": "markdown",
"id": "3af9f047-55c5-4c94-9758-df88db2680dc",
"metadata": {},
"source": [
"I use the jupyter lab based on OOD."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e23cbef4-8cb1-47a7-9551-a8838be111f7",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.9"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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