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andersy005/cesm-le-great-tit-temperature.ipynb

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cesm-le-great-tit-temperature.ipynb
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"import os\n",
"import shutil\n",
"\n",
"import numpy as np\n",
"import xarray as xr\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import cartopy.crs as ccrs\n",
"from cartopy.util import add_cyclic_point\n",
"\n",
"import intake\n"
]
},
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"cell_type": "code",
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"metadata": {},
"outputs": [
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"source": [
"# Create cluster\n",
"from dask_gateway import Gateway\n",
"from dask.distributed import Client\n",
"gateway = Gateway()\n",
"cluster = gateway.new_cluster()\n",
"cluster.adapt(minimum=2, maximum=100)\n",
"# Connect to cluster\n",
"client = Client(cluster)\n",
"# Display cluster dashboard URL\n",
"cluster"
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"<p><strong>aws-cesm1-le catalog with 27 dataset(s) from 365 asset(s)</strong>:</p> <div>\n",
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" <th>component</th>\n",
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"# Open collection description file\n",
"catalog_url = 'https://ncar-cesm-lens.s3-us-west-2.amazonaws.com/catalogs/aws-cesm1-le.json'\n",
"col = intake.open_esm_datastore(catalog_url, sep='|')\n",
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" component frequency experiment variable \\\n",
"0 atm daily 20C FLNS \n",
"1 atm daily 20C FLNSC \n",
"2 atm daily 20C FLUT \n",
"3 atm daily 20C FSNS \n",
"4 atm daily 20C FSNSC \n",
"\n",
" path \n",
"0 s3://ncar-cesm-lens/atm/daily/cesmLE-20C-FLNS.... \n",
"1 s3://ncar-cesm-lens/atm/daily/cesmLE-20C-FLNSC... \n",
"2 s3://ncar-cesm-lens/atm/daily/cesmLE-20C-FLUT.... \n",
"3 s3://ncar-cesm-lens/atm/daily/cesmLE-20C-FSNS.... \n",
"4 s3://ncar-cesm-lens/atm/daily/cesmLE-20C-FSNSC... "
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"\n",
"--> The keys in the returned dictionary of datasets are constructed as follows:\n",
"\t'component|experiment|frequency'\n"
]
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"</style><div class='xr-wrap'><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-7738ed67-6b0e-4682-a804-0dec08e9f112' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7738ed67-6b0e-4682-a804-0dec08e9f112' 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'>lon</span>: 288</li><li><span class='xr-has-index'>member_id</span>: 40</li><li><span>nbnd</span>: 2</li><li><span class='xr-has-index'>time</span>: 1872</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7b7fac8e-11b9-49d0-abc6-6cae10c6b58f' class='xr-section-summary-in' type='checkbox' checked><label for='section-7b7fac8e-11b9-49d0-abc6-6cae10c6b58f' 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 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'>-90.0 -89.06 -88.12 ... 89.06 90.0</div><input id='attrs-919b6c12-9c98-4c7a-ba49-a07a548b3f76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-919b6c12-9c98-4c7a-ba49-a07a548b3f76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-222fe8b2-f8ce-43ed-b4af-bee6a44fb324' class='xr-var-data-in' type='checkbox'><label for='data-222fe8b2-f8ce-43ed-b4af-bee6a44fb324' 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>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><pre class='xr-var-data'>array([-90. , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
" -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
" -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
" -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
" -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
" -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
" -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
" -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
" -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
" -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
" -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
" -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
" -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
" -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
" -10.837696, -9.895288, -8.95288 , -8.010471, -7.068063, -6.125654,\n",
" -5.183246, -4.240838, -3.298429, -2.356021, -1.413613, -0.471204,\n",
" 0.471204, 1.413613, 2.356021, 3.298429, 4.240838, 5.183246,\n",
" 6.125654, 7.068063, 8.010471, 8.95288 , 9.895288, 10.837696,\n",
" 11.780105, 12.722513, 13.664921, 14.60733 , 15.549738, 16.492147,\n",
" 17.434555, 18.376963, 19.319372, 20.26178 , 21.204188, 22.146597,\n",
" 23.089005, 24.031414, 24.973822, 25.91623 , 26.858639, 27.801047,\n",
" 28.743455, 29.685864, 30.628272, 31.570681, 32.513089, 33.455497,\n",
" 34.397906, 35.340314, 36.282723, 37.225131, 38.167539, 39.109948,\n",
" 40.052356, 40.994764, 41.937173, 42.879581, 43.82199 , 44.764398,\n",
" 45.706806, 46.649215, 47.591623, 48.534031, 49.47644 , 50.418848,\n",
" 51.361257, 52.303665, 53.246073, 54.188482, 55.13089 , 56.073298,\n",
" 57.015707, 57.958115, 58.900524, 59.842932, 60.78534 , 61.727749,\n",
" 62.670157, 63.612565, 64.554974, 65.497382, 66.439791, 67.382199,\n",
" 68.324607, 69.267016, 70.209424, 71.151832, 72.094241, 73.036649,\n",
" 73.979058, 74.921466, 75.863874, 76.806283, 77.748691, 78.691099,\n",
" 79.633508, 80.575916, 81.518325, 82.460733, 83.403141, 84.34555 ,\n",
" 85.287958, 86.230366, 87.172775, 88.115183, 89.057592, 90. ])</pre></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 1.25 2.5 ... 356.2 357.5 358.8</div><input id='attrs-15ddb267-df9f-4365-ae40-0ff783d2214c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15ddb267-df9f-4365-ae40-0ff783d2214c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d78e198-973f-49af-8cda-88d358d238d3' class='xr-var-data-in' type='checkbox'><label for='data-7d78e198-973f-49af-8cda-88d358d238d3' 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>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><pre class='xr-var-data'>array([ 0. , 1.25, 2.5 , ..., 356.25, 357.5 , 358.75])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>member_id</span></div><div class='xr-var-dims'>(member_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 ... 101 102 103 104 105</div><input id='attrs-5ec72692-0dc4-4bce-a01d-0f88ebd8fdae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ec72692-0dc4-4bce-a01d-0f88ebd8fdae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a911444-cc0d-44d7-aed2-c300f123b53e' class='xr-var-data-in' type='checkbox'><label for='data-9a911444-cc0d-44d7-aed2-c300f123b53e' 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><pre class='xr-var-data'>array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,\n",
" 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28,\n",
" 29, 30, 31, 32, 33, 34, 35, 101, 102, 103, 104, 105])</pre></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'>object</div><div class='xr-var-preview xr-preview'>1850-02-01 00:00:00 ... 2006-01-01 00:00:00</div><input id='attrs-4707118f-6069-4680-9bc6-37d2f6703f94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4707118f-6069-4680-9bc6-37d2f6703f94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ccfad80-daf0-46bf-b9d7-fa70d8486a31' class='xr-var-data-in' type='checkbox'><label for='data-5ccfad80-daf0-46bf-b9d7-fa70d8486a31' 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>long_name :</span></dt><dd>time</dd></dl></div><pre class='xr-var-data'>array([cftime.DatetimeNoLeap(1850-02-01 00:00:00),\n",
" cftime.DatetimeNoLeap(1850-03-01 00:00:00),\n",
" cftime.DatetimeNoLeap(1850-04-01 00:00:00), ...,\n",
" cftime.DatetimeNoLeap(2005-11-01 00:00:00),\n",
" cftime.DatetimeNoLeap(2005-12-01 00:00:00),\n",
" cftime.DatetimeNoLeap(2006-01-01 00:00:00)], dtype=object)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-1f3be10e-b90e-4615-a295-145528a9ac73' class='xr-section-summary-in' type='checkbox' checked><label for='section-1f3be10e-b90e-4615-a295-145528a9ac73' class='xr-section-summary' >Data variables: <span>(2)</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>TREFHT</span></div><div class='xr-var-dims'>(member_id, time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 576, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-444d798b-b555-4461-afd0-00fbc0ca144d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-444d798b-b555-4461-afd0-00fbc0ca144d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e38e1921-6c42-4935-9ef0-d4f86305595b' class='xr-var-data-in' type='checkbox'><label for='data-e38e1921-6c42-4935-9ef0-d4f86305595b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Reference height temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><pre class='xr-var-data'><table>\n",
"<tr>\n",
"<td>\n",
"<table>\n",
" <thead>\n",
" <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
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" <tbody>\n",
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" <tr><th> Shape </th><td> (40, 1872, 192, 288) </td> <td> (1, 576, 192, 288) </td></tr>\n",
" <tr><th> Count </th><td> 161 Tasks </td><td> 160 Chunks </td></tr>\n",
" <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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"<table>\n",
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" <tr><th> Shape </th><td> (1872, 2) </td> <td> (576, 2) </td></tr>\n",
" <tr><th> Count </th><td> 5 Tasks </td><td> 4 Chunks </td></tr>\n",
" <tr><th> Type </th><td> object </td><td> numpy.ndarray </td></tr>\n",
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"<xarray.Dataset>\n",
"Dimensions: (lat: 192, lon: 288, member_id: 40, nbnd: 2, time: 1872)\n",
"Coordinates:\n",
" * lat (lat) float64 -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n",
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},
"execution_count": 5,
"metadata": {},
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],
"source": [
"col_sub = col.search(experiment=['20C', 'RCP85'], \n",
" variable=['TREFHT'],\n",
" frequency='monthly',\n",
" )\n",
"dsets_001 = col_sub.to_dataset_dict(zarr_kwargs={'decode_times': True})\n",
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"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"def subset(ds):\n",
" ds['lon'] = ds_001.lon\n",
" ds['lat'] = ds_001.lat\n",
" return (ds\n",
" .sel(\n",
" lat=slice(45, 60), \n",
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" time=slice('1920', '2100'),\n",
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"cell_type": "code",
"execution_count": 7,
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"text/plain": [
" component frequency experiment variable \\\n",
"0 atm daily 20C TREFHT \n",
"1 atm daily RCP85 TREFHT \n",
"\n",
" path \n",
"0 s3://ncar-cesm-lens/atm/daily/cesmLE-20C-TREFH... \n",
"1 s3://ncar-cesm-lens/atm/daily/cesmLE-RCP85-TRE... "
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"col_sub = col.search(experiment=['20C', 'RCP85'], \n",
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"--> The keys in the returned dictionary of datasets are constructed as follows:\n",
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"\n",
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" padding-left: 25px !important;\n",
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"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
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" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt, dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
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"\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",
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"\n",
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"\n",
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"</style><div class='xr-wrap'><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-0296e47c-8498-41a2-96d7-408acc7becaf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0296e47c-8498-41a2-96d7-408acc7becaf' 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>: 16</li><li><span class='xr-has-index'>lon</span>: 13</li><li><span class='xr-has-index'>member_id</span>: 40</li><li><span>nbnd</span>: 2</li><li><span class='xr-has-index'>time</span>: 66065</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7410db4a-893e-4591-aa42-277b6779c914' class='xr-section-summary-in' type='checkbox' checked><label for='section-7410db4a-893e-4591-aa42-277b6779c914' 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 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'>45.71 46.65 47.59 ... 58.9 59.84</div><input id='attrs-446c83e1-bff6-4833-a709-2fd1b76f45f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-446c83e1-bff6-4833-a709-2fd1b76f45f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e0380a3-6bad-45b4-9d49-ac0473745c0a' class='xr-var-data-in' type='checkbox'><label for='data-2e0380a3-6bad-45b4-9d49-ac0473745c0a' 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>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><pre class='xr-var-data'>array([45.706806, 46.649215, 47.591623, 48.534031, 49.47644 , 50.418848,\n",
" 51.361257, 52.303665, 53.246073, 54.188482, 55.13089 , 56.073298,\n",
" 57.015707, 57.958115, 58.900524, 59.842932])</pre></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 1.25 2.5 ... 12.5 13.75 15.0</div><input id='attrs-3b565e4d-8d4e-48f8-b7d4-02c93e26ab70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b565e4d-8d4e-48f8-b7d4-02c93e26ab70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb6d6b4e-ba34-4db2-987b-0830e5827a4b' class='xr-var-data-in' type='checkbox'><label for='data-eb6d6b4e-ba34-4db2-987b-0830e5827a4b' 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>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><pre class='xr-var-data'>array([ 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. , 11.25,\n",
" 12.5 , 13.75, 15. ])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>member_id</span></div><div class='xr-var-dims'>(member_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 ... 101 102 103 104 105</div><input id='attrs-4de484e6-906d-4a86-af67-3a144c6efa27' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4de484e6-906d-4a86-af67-3a144c6efa27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba6b8079-10aa-4b50-b4cb-28b4a5602153' class='xr-var-data-in' type='checkbox'><label for='data-ba6b8079-10aa-4b50-b4cb-28b4a5602153' 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><pre class='xr-var-data'>array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,\n",
" 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28,\n",
" 29, 30, 31, 32, 33, 34, 35, 101, 102, 103, 104, 105])</pre></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'>object</div><div class='xr-var-preview xr-preview'>1920-01-01 00:00:00 ... 2100-12-31 00:00:00</div><input id='attrs-7769d70f-e3e1-4424-8429-097268316bed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7769d70f-e3e1-4424-8429-097268316bed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45f716ae-35ad-457f-aa27-9d3aeab1915c' class='xr-var-data-in' type='checkbox'><label for='data-45f716ae-35ad-457f-aa27-9d3aeab1915c' 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>long_name :</span></dt><dd>time</dd></dl></div><pre class='xr-var-data'>array([cftime.DatetimeNoLeap(1920-01-01 00:00:00),\n",
" cftime.DatetimeNoLeap(1920-01-02 00:00:00),\n",
" cftime.DatetimeNoLeap(1920-01-03 00:00:00), ...,\n",
" cftime.DatetimeNoLeap(2100-12-29 00:00:00),\n",
" cftime.DatetimeNoLeap(2100-12-30 00:00:00),\n",
" cftime.DatetimeNoLeap(2100-12-31 00:00:00)], dtype=object)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-927cee10-f200-493d-b750-b50cc86ffbb1' class='xr-section-summary-in' type='checkbox' checked><label for='section-927cee10-f200-493d-b750-b50cc86ffbb1' class='xr-section-summary' >Data variables: <span>(2)</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>TREFHT</span></div><div class='xr-var-dims'>(member_id, time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2, 66065, 16, 13), meta=np.ndarray&gt;</div><input id='attrs-52b6680d-a181-446e-affa-65cb63e7dc11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52b6680d-a181-446e-affa-65cb63e7dc11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d15b5d50-f31d-4feb-b7ce-06e1828ca207' class='xr-var-data-in' type='checkbox'><label for='data-d15b5d50-f31d-4feb-b7ce-06e1828ca207' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Reference height temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><pre class='xr-var-data'><table>\n",
"<tr>\n",
"<td>\n",
"<table>\n",
" <thead>\n",
" <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr><th> Bytes </th><td> 2.20 GB </td> <td> 109.93 MB </td></tr>\n",
" <tr><th> Shape </th><td> (40, 66065, 16, 13) </td> <td> (2, 66065, 16, 13) </td></tr>\n",
" <tr><th> Count </th><td> 20 Tasks </td><td> 20 Chunks </td></tr>\n",
" <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
" </tbody>\n",
"</table>\n",
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"<tr>\n",
"<td>\n",
"<table>\n",
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" <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
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" <tbody>\n",
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],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (lat: 16, lon: 13, member_id: 40, nbnd: 2, time: 66065)\n",
"Coordinates:\n",
" * lat (lat) float64 45.71 46.65 47.59 48.53 ... 57.02 57.96 58.9 59.84\n",
" * lon (lon) float64 0.0 1.25 2.5 3.75 5.0 ... 11.25 12.5 13.75 15.0\n",
" * member_id (member_id) int64 1 2 3 4 5 6 7 8 ... 34 35 101 102 103 104 105\n",
" * time (time) object 1920-01-01 00:00:00 ... 2100-12-31 00:00:00\n",
"Dimensions without coordinates: nbnd\n",
"Data variables:\n",
" TREFHT (member_id, time, lat, lon) float32 dask.array<chunksize=(2, 66065, 16, 13), meta=np.ndarray>\n",
" time_bnds (time, nbnd) object dask.array<chunksize=(66065, 2), meta=np.ndarray>\n",
"Attributes:\n",
" Conventions: CF-1.0\n",
" NCO: 4.4.2\n",
" Version: $Name$\n",
" important_note: This data is part of the project 'Blind Evalua...\n",
" initial_file: b.e11.B20TRC5CNBDRD.f09_g16.001.cam.i.1920-01-...\n",
" logname: mudryk\n",
" nco_openmp_thread_number: 1\n",
" revision_Id: $Id$\n",
" source: CAM\n",
" title: UNSET\n",
" topography_file: /scratch/p/pjk/mudryk/cesm1_1_2_LENS/inputdata...\n",
" intake_esm_varname: TREFHT\n",
" intake_esm_dataset_key: atm|20C|daily"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"ordered_dsets_keys = ['atm|20C|daily', 'atm|RCP85|daily']\n",
"ds = xr.concat(\n",
" [dsets[exp] for exp in ordered_dsets_keys], \n",
" dim='time', \n",
" data_vars='minimal'\n",
").chunk({'time': -1, 'member_id': 2}).persist()\n",
"ds"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Std. Dev. (1920-1960)')"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"lon, lat = 5.85573, 52.0407254\n",
"\n",
"def plot_field(da):\n",
" import cartopy.feature as cfeature\n",
" fig = plt.figure(figsize=(10, 10))\n",
" ax = fig.add_subplot(1, 1, 1, projection=ccrs.EuroPP())\n",
" da.plot(\n",
" ax=ax,\n",
" transform=ccrs.PlateCarree(), \n",
" )\n",
" ax.coastlines()\n",
" ax.add_feature(cfeature.BORDERS, linestyle='-')\n",
" ax.plot(lon, lat, 'r*', transform=ccrs.PlateCarree())\n",
"\n",
"plot_field(ds.TREFHT.sel(time=slice('1920', '1960')).mean(['member_id', 'time']))\n",
"plt.title('Mean (1920-1960)')\n",
"\n",
"plot_field(ds.TREFHT.sel(time=slice('1920', '1960')).std(['member_id', 'time']))\n",
"plt.title('Std. Dev. (1920-1960)')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 23.2 ms, sys: 0 ns, total: 23.2 ms\n",
"Wall time: 22.5 ms\n"
]
},
{
"data": {
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"</defs>\n",
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"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
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"\n",
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" margin-left: 2px;\n",
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"\n",
".xr-section-item {\n",
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"\n",
".xr-section-item input {\n",
" display: none;\n",
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"\n",
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"\n",
".xr-section-item input:enabled + label {\n",
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" font-weight: 500;\n",
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"\n",
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" display: inline-block;\n",
" padding-left: 0.5em;\n",
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".xr-section-summary-in:disabled + label:before {\n",
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"\n",
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"\n",
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"\n",
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".xr-array-data,\n",
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"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
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"\n",
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"\n",
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"\n",
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"\n",
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" content: ')';\n",
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"\n",
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" content: ',';\n",
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"\n",
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"\n",
".xr-var-list,\n",
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" display: contents;\n",
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"\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",
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"\n",
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" padding-right: 5px;\n",
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"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
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" background-color: var(--xr-background-color-row-odd);\n",
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"\n",
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"\n",
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"\n",
".xr-var-dtype {\n",
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" text-align: right;\n",
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"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
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"\n",
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".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
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"\n",
".xr-var-name:hover,\n",
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" overflow: visible;\n",
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" z-index: 1;\n",
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"\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
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"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
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".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt, dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
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"\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",
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" grid-column: 2;\n",
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"\n",
".xr-icon-database,\n",
".xr-icon-file-text2 {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
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" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><div class='xr-wrap'><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-39ef54d6-4387-4fb1-90f0-92189b4d70c0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-39ef54d6-4387-4fb1-90f0-92189b4d70c0' 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'>member_id</span>: 40</li><li><span>nbnd</span>: 2</li><li><span class='xr-has-index'>time</span>: 66065</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d791893d-4896-4572-a069-772a9fa0c2ee' class='xr-section-summary-in' type='checkbox' checked><label for='section-d791893d-4896-4572-a069-772a9fa0c2ee' class='xr-section-summary' >Coordinates: <span>(2)</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'>member_id</span></div><div class='xr-var-dims'>(member_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 ... 101 102 103 104 105</div><input id='attrs-04869329-699e-4132-9bd6-3197ff15df63' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04869329-699e-4132-9bd6-3197ff15df63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d6f809b-bcdc-4146-946f-0decd933ebd3' class='xr-var-data-in' type='checkbox'><label for='data-3d6f809b-bcdc-4146-946f-0decd933ebd3' 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><pre class='xr-var-data'>array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,\n",
" 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28,\n",
" 29, 30, 31, 32, 33, 34, 35, 101, 102, 103, 104, 105])</pre></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'>object</div><div class='xr-var-preview xr-preview'>1920-01-01 00:00:00 ... 2100-12-31 00:00:00</div><input id='attrs-c9d918fe-5800-4449-9f8a-606d63586575' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9d918fe-5800-4449-9f8a-606d63586575' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c622240-44f3-4ec8-a347-905aff5f7296' class='xr-var-data-in' type='checkbox'><label for='data-6c622240-44f3-4ec8-a347-905aff5f7296' 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>long_name :</span></dt><dd>time</dd></dl></div><pre class='xr-var-data'>array([cftime.DatetimeNoLeap(1920-01-01 00:00:00),\n",
" cftime.DatetimeNoLeap(1920-01-02 00:00:00),\n",
" cftime.DatetimeNoLeap(1920-01-03 00:00:00), ...,\n",
" cftime.DatetimeNoLeap(2100-12-29 00:00:00),\n",
" cftime.DatetimeNoLeap(2100-12-30 00:00:00),\n",
" cftime.DatetimeNoLeap(2100-12-31 00:00:00)], dtype=object)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-828d4295-264a-4cf4-814c-2ffd1cdeebd5' class='xr-section-summary-in' type='checkbox' checked><label for='section-828d4295-264a-4cf4-814c-2ffd1cdeebd5' class='xr-section-summary' >Data variables: <span>(2)</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>TREFHT</span></div><div class='xr-var-dims'>(member_id, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2, 66065), meta=np.ndarray&gt;</div><input id='attrs-b19e50f7-734e-4329-a729-5533358d7581' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b19e50f7-734e-4329-a729-5533358d7581' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f5fffc7-cef4-4524-93e5-8aef91a592bf' class='xr-var-data-in' type='checkbox'><label for='data-0f5fffc7-cef4-4524-93e5-8aef91a592bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Reference height temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><pre class='xr-var-data'><table>\n",
"<tr>\n",
"<td>\n",
"<table>\n",
" <thead>\n",
" <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr><th> Bytes </th><td> 10.57 MB </td> <td> 528.52 kB </td></tr>\n",
" <tr><th> Shape </th><td> (40, 66065) </td> <td> (2, 66065) </td></tr>\n",
" <tr><th> Count </th><td> 60 Tasks </td><td> 20 Chunks </td></tr>\n",
" <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
" </tbody>\n",
"</table>\n",
"</td>\n",
"<td>\n",
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"</td>\n",
"</tr>\n",
"</table></pre></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnd)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(66065, 2), meta=np.ndarray&gt;</div><input id='attrs-1f752e37-4322-41c6-94d8-1f48c26ae9bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f752e37-4322-41c6-94d8-1f48c26ae9bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5de18c30-a8c8-48c1-bb31-a534308415d5' class='xr-var-data-in' type='checkbox'><label for='data-5de18c30-a8c8-48c1-bb31-a534308415d5' 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 interval endpoints</dd></dl></div><pre class='xr-var-data'><table>\n",
"<tr>\n",
"<td>\n",
"<table>\n",
" <thead>\n",
" <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr><th> Bytes </th><td> 1.06 MB </td> <td> 1.06 MB </td></tr>\n",
" <tr><th> Shape </th><td> (66065, 2) </td> <td> (66065, 2) </td></tr>\n",
" <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
" <tr><th> Type </th><td> object </td><td> numpy.ndarray </td></tr>\n",
" </tbody>\n",
"</table>\n",
"</td>\n",
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"<svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (member_id: 40, nbnd: 2, time: 66065)\n",
"Coordinates:\n",
" * member_id (member_id) int64 1 2 3 4 5 6 7 8 ... 34 35 101 102 103 104 105\n",
" * time (time) object 1920-01-01 00:00:00 ... 2100-12-31 00:00:00\n",
"Dimensions without coordinates: nbnd\n",
"Data variables:\n",
" TREFHT (member_id, time) float32 dask.array<chunksize=(2, 66065), meta=np.ndarray>\n",
" time_bnds (time, nbnd) object dask.array<chunksize=(66065, 2), meta=np.ndarray>\n",
"Attributes:\n",
" Conventions: CF-1.0\n",
" NCO: 4.4.2\n",
" Version: $Name$\n",
" important_note: This data is part of the project 'Blind Evalua...\n",
" initial_file: b.e11.B20TRC5CNBDRD.f09_g16.001.cam.i.1920-01-...\n",
" logname: mudryk\n",
" nco_openmp_thread_number: 1\n",
" revision_Id: $Id$\n",
" source: CAM\n",
" title: UNSET\n",
" topography_file: /scratch/p/pjk/mudryk/cesm1_1_2_LENS/inputdata...\n",
" intake_esm_varname: TREFHT\n",
" intake_esm_dataset_key: atm|20C|daily"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"dsp = ds.interp(lat=lat, lon=lon).reset_coords(['lat', 'lon'], drop=True)\n",
"dsp"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
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"</style><div class='xr-wrap'><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-1bed3579-e25b-4102-a215-8d0bd978e897' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1bed3579-e25b-4102-a215-8d0bd978e897' 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'>member_id</span>: 40</li><li><span class='xr-has-index'>time</span>: 2172</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-36b15c02-2275-4e9b-9ee9-5db66322d0b3' class='xr-section-summary-in' type='checkbox' checked><label for='section-36b15c02-2275-4e9b-9ee9-5db66322d0b3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1920-01-31 00:00:00 ... 2100-12-31 00:00:00</div><input id='attrs-4de9a33d-33c3-47d7-926e-87c7001c2014' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4de9a33d-33c3-47d7-926e-87c7001c2014' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a853f5dd-c203-46f4-a329-13c48dbbb0bf' class='xr-var-data-in' type='checkbox'><label for='data-a853f5dd-c203-46f4-a329-13c48dbbb0bf' 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><pre class='xr-var-data'>array([cftime.DatetimeNoLeap(1920-01-31 00:00:00),\n",
" cftime.DatetimeNoLeap(1920-02-28 00:00:00),\n",
" cftime.DatetimeNoLeap(1920-03-31 00:00:00), ...,\n",
" cftime.DatetimeNoLeap(2100-10-31 00:00:00),\n",
" cftime.DatetimeNoLeap(2100-11-30 00:00:00),\n",
" cftime.DatetimeNoLeap(2100-12-31 00:00:00)], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>member_id</span></div><div class='xr-var-dims'>(member_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 ... 101 102 103 104 105</div><input id='attrs-8ef8ddc2-6d34-4378-94d5-a16f126ac08e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ef8ddc2-6d34-4378-94d5-a16f126ac08e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55bae72e-6dad-4464-8910-6cf4944fb45d' class='xr-var-data-in' type='checkbox'><label for='data-55bae72e-6dad-4464-8910-6cf4944fb45d' 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><pre class='xr-var-data'>array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,\n",
" 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28,\n",
" 29, 30, 31, 32, 33, 34, 35, 101, 102, 103, 104, 105])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-69fcb1c2-f328-4e4b-b55d-82f7ac0b6fc5' class='xr-section-summary-in' type='checkbox' checked><label for='section-69fcb1c2-f328-4e4b-b55d-82f7ac0b6fc5' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>TREFHT</span></div><div class='xr-var-dims'>(time, member_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-1719d0f9-a0c6-4b8f-b708-140a1a7050c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1719d0f9-a0c6-4b8f-b708-140a1a7050c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5a9d4ae-975e-4eba-bdff-7a79533bcf97' class='xr-var-data-in' type='checkbox'><label for='data-c5a9d4ae-975e-4eba-bdff-7a79533bcf97' 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><pre class='xr-var-data'><table>\n",
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" <tr><th> Shape </th><td> (2172, 40) </td> <td> (1, 2) </td></tr>\n",
" <tr><th> Count </th><td> 217260 Tasks </td><td> 43440 Chunks </td></tr>\n",
" <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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"</td>\n",
"</tr>\n",
"</table></pre></li></ul></div></li><li class='xr-section-item'><input id='section-239f7256-e77d-45ef-badc-1e039ed47916' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-239f7256-e77d-45ef-badc-1e039ed47916' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (member_id: 40, time: 2172)\n",
"Coordinates:\n",
" * time (time) object 1920-01-31 00:00:00 ... 2100-12-31 00:00:00\n",
" * member_id (member_id) int64 1 2 3 4 5 6 7 8 ... 34 35 101 102 103 104 105\n",
"Data variables:\n",
" TREFHT (time, member_id) float32 dask.array<chunksize=(1, 2), meta=np.ndarray>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dsp_mon = dsp.resample(time='M').mean()\n",
"dsp_mon"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"for member_id in dsp.member_id.values:\n",
" dsp_mon.TREFHT.sel(member_id=member_id).plot()\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"for member_id in dsp.member_id.values:\n",
" dsp.TREFHT.sel(member_id=member_id).to_dataframe().to_csv(f'data/cesm-le-20C-RCP85.TREFHT.{member_id:03d}.csv')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.8.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
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