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“# Spatial Averagingn”, “n”, “Authors: [Tom Vo](tomvothecoder/) & [Stephen Po-Chedley](https://github.com/pochedls/)n”, “n”, “Updated: 03/14/25 [xcdat v0.8.0]n”, “n”, “Related APIs: [xarray.Dataset.spatial.average()](../generated/xarray.Dataset.spatial.average.rst) & [xarray.Dataset.spatial.get_weights()](../generated/xcdat.spatial.SpatialAccessor.rst#xcdat.spatial.SpatialAccessor.get_weights)n”

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“## Overviewn”, “n”, “A common data reduction in geophysical sciences is to produce spatial averages. Spatial averaging functionality in xcdat allows users to quickly produce area-weighted spatial averages for selected regions (or full dataset domains).n”, “n”, “In the example below, we demonstrate the opening of a (remote) dataset and spatial averaging over the global, tropical, and Niño 3.4 domains.n”, “n”, “The data used in this example can be found in the [xcdat-data repository](https://github.com/xCDAT/xcdat-data).n”

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“### Notebook Kernel Setupn”, “n”, “Users can [install their own instance of xcdat](../getting-started-guide/installation.rst) and follow these examples using their own environment (e.g., with VS Code, Jupyter, Spyder, iPython) or [enable xcdat with existing JupyterHub instances](../getting-started-guide/getting-started-hpc-jupyter.rst).n”, “n”, “First, create the conda environment:n”, “n”, “`bash\n", "conda create -n xcdat_notebook -c conda-forge xcdat xesmf matplotlib ipython ipykernel cartopy nc-time-axis gsw-xarray jupyter pooch\n", "`n”, “n”, “Then install the kernel from the xcdat_notebook environment using ipykernel and name the kernel with the display name (e.g., xcdat_notebook):n”, “n”, “`bash\n", "python -m ipykernel install --user --name xcdat_notebook --display-name xcdat_notebook\n", "`n”, “n”, “Then to select the kernel xcdat_notebook in Jupyter to use this kernel.n”

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“cell_type”: “markdown”, “metadata”: {}, “source”: [

“## 1. Open the Datasetn”

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“ExecuteTime”: {

“end_time”: “2018-11-28T20:51:36.072316Z”, “start_time”: “2018-11-28T20:51:36.016594Z”

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},

<<<<<<< Updated upstream

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“name”: “stderr”, “output_type”: “stream”, “text”: [

“/opt/miniconda3/envs/xcdat_notebook/lib/python3.13/site-packages/esmpy/interface/loadESMF.py:94: VersionWarning: ESMF installation version 8.8.0, ESMPy version 8.8.0b0n”, “ warnings.warn("ESMF installation version {}, ESMPy version {}".format(n”

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bnds: 2, lat: 145, lon: 192)n”, “Coordinates:n”, “ * time (time) object 480B 1870-01-16 12:00:00 … 1874-12-16 12:00:00n”, “ * lat (lat) float64 1kB -90.0 -88.75 -87.5 -86.25 … 87.5 88.75 90.0n”, “ * lon (lon) float64 2kB 0.0 1.875 3.75 5.625 … 354.4 356.2 358.1n”, “ height float64 8B 2.0n”, “Dimensions without coordinates: bndsn”, “Data variables:n”, “ time_bnds (time, bnds) object 960B …n”, “ lat_bnds (lat, bnds) float64 2kB …n”, “ lon_bnds (lon, bnds) float64 3kB …n”, “ tas (time, lat, lon) float32 7MB -29.36 -29.36 … -31.07 -31.07n”, “Attributes: (12/48)n”, “ Conventions: CF-1.7 CMIP-6.2n”, “ activity_id: CMIPn”, “ branch_method: standardn”, “ branch_time_in_child: 0.0n”, “ branch_time_in_parent: 87658.0n”, “ creation_date: 2020-06-05T04:06:11Zn”, “ … …n”, “ variant_label: r10i1p1f1n”, “ version: v20200605n”, “ license: CMIP6 model data produced by CSIRO is li…n”, “ cmor_version: 3.4.0n”, “ tracking_id: hdl:21.14100/af78ae5e-f3a6-4e99-8cfe-5f2…n”, “ DODS_EXTRA.Unlimited_Dimension: time</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-ceabdc87-5a46-4ab4-a8e1-d64b2891b072’ class=’xr-section-summary-in’ type=’checkbox’ disabled ><label for=’section-ceabdc87-5a46-4ab4-a8e1-d64b2891b072’ class=’xr-section-summary’ title=’Expand/collapse section’>Dimensions:</label><div class=’xr-section-inline-details’><ul class=’xr-dim-list’><li><span class=’xr-has-index’>time</span>: 60</li><li><span>bnds</span>: 2</li><li><span class=’xr-has-index’>lat</span>: 145</li><li><span class=’xr-has-index’>lon</span>: 192</li></ul></div><div class=’xr-section-details’></div></li><li class=’xr-section-item’><input id=’section-08605796-428f-4288-b014-467ee0fc7a4f’ class=’xr-section-summary-in’ type=’checkbox’ checked><label for=’section-08605796-428f-4288-b014-467ee0fc7a4f’ 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’>time</span></div><div class=’xr-var-dims’>(time)</div><div class=’xr-var-dtype’>object</div><div class=’xr-var-preview xr-preview’>1870-01-16 12:00:00 … 1874-12-…</div><input id=’attrs-632ae140-da68-4326-9309-40f4955bd79d’ class=’xr-var-attrs-in’ type=’checkbox’ ><label for=’attrs-632ae140-da68-4326-9309-40f4955bd79d’ title=’Show/Hide attributes’><svg class=’icon xr-icon-file-text2’><use xlink:href=’#icon-file-text2’></use></svg></label><input id=’data-99c1367a-50f9-4597-994d-b7ecc3403a30’ class=’xr-var-data-in’ type=’checkbox’><label for=’data-99c1367a-50f9-4597-994d-b7ecc3403a30’ 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><dt><span>_ChunkSizes :</span></dt><dd>1</dd></dl></div><div class=’xr-var-data’><pre>array([cftime.DatetimeProlepticGregorian(1870, 1, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 2, 15, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 3, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 4, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 5, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 6, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 7, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 8, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 9, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 10, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 11, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 12, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 1, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 2, 15, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 3, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 4, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 5, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 6, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 7, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 8, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 9, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 10, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 11, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 12, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 1, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 2, 15, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 3, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 4, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 5, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 6, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 7, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 8, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 9, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 10, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 11, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 12, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 1, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 2, 15, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 3, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 4, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 5, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 6, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 7, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 8, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 9, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 10, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 11, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 12, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 1, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 2, 15, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 3, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 4, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 5, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 6, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 7, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 8, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 9, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 10, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 11, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 12, 16, 12, 0, 0, 0, has_year_zero=True)],n”, “ dtype=object)</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’>-90.0 -88.75 -87.5 … 88.75 90.0</div><input id=’attrs-2dc78941-be11-4852-995b-5b3cb3160ecc’ class=’xr-var-attrs-in’ type=’checkbox’ ><label for=’attrs-2dc78941-be11-4852-995b-5b3cb3160ecc’ title=’Show/Hide attributes’><svg class=’icon xr-icon-file-text2’><use xlink:href=’#icon-file-text2’></use></svg></label><input id=’data-f20ad3a5-e8ff-4d04-8735-b5ed3cc9e840’ class=’xr-var-data-in’ type=’checkbox’><label for=’data-f20ad3a5-e8ff-4d04-8735-b5ed3cc9e840’ 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,n”, “ -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,n”, “ -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,n”, “ -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,n”, “ -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,n”, “ -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,n”, “ -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,n”, “ -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,n”, “ 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,n”, “ 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,n”, “ 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,n”, “ 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,n”, “ 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,n”, “ 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,n”, “ 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,n”, “ 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,n”, “ 90. ])</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 1.875 3.75 … 356.2 358.1</div><input id=’attrs-f8b783a3-ba59-4b1d-b419-153e0cb96a0d’ class=’xr-var-attrs-in’ type=’checkbox’ ><label for=’attrs-f8b783a3-ba59-4b1d-b419-153e0cb96a0d’ title=’Show/Hide attributes’><svg class=’icon xr-icon-file-text2’><use xlink:href=’#icon-file-text2’></use></svg></label><input id=’data-36d4e584-39e5-4db6-a5c5-eba1a324b4b8’ class=’xr-var-data-in’ type=’checkbox’><label for=’data-36d4e584-39e5-4db6-a5c5-eba1a324b4b8’ 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. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,n”, “ 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,n”, “ 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,n”, “ 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,n”, “ 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,n”, “ 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125,n”, “ 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,n”, “ 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,n”, “ 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,n”, “ 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,n”, “ 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,n”, “ 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,n”, “ 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,n”, “ 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,n”, “ 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,n”, “ 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,n”, “ 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,n”, “ 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,n”, “ 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,n”, “ 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,n”, “ 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,n”, “ 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,n”, “ 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,n”, “ 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</pre></div></li><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’>2.0</div><input id=’attrs-c436d9b2-76f7-4dcb-8b5a-b067c562f2da’ class=’xr-var-attrs-in’ type=’checkbox’ ><label for=’attrs-c436d9b2-76f7-4dcb-8b5a-b067c562f2da’ title=’Show/Hide attributes’><svg class=’icon xr-icon-file-text2’><use xlink:href=’#icon-file-text2’></use></svg></label><input id=’data-74477425-ab62-4d3b-a692-eddc43a16f01’ class=’xr-var-data-in’ type=’checkbox’><label for=’data-74477425-ab62-4d3b-a692-eddc43a16f01’ 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>array(2.)</pre></div></li></ul></div></li><li class=’xr-section-item’><input id=’section-72b9082f-efd6-41cc-a969-c5cee270a8d4’ class=’xr-section-summary-in’ type=’checkbox’ checked><label for=’section-72b9082f-efd6-41cc-a969-c5cee270a8d4’ 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>time_bnds</span></div><div class=’xr-var-dims’>(time, bnds)</div><div class=’xr-var-dtype’>object</div><div class=’xr-var-preview xr-preview’>…</div><input id=’attrs-ddd2c9df-30ac-4106-903c-6116f314be26’ class=’xr-var-attrs-in’ type=’checkbox’ ><label for=’attrs-ddd2c9df-30ac-4106-903c-6116f314be26’ title=’Show/Hide attributes’><svg class=’icon xr-icon-file-text2’><use xlink:href=’#icon-file-text2’></use></svg></label><input id=’data-67f70696-d7b3-4ec2-8fbe-45c31bfeff8f’ class=’xr-var-data-in’ type=’checkbox’><label for=’data-67f70696-d7b3-4ec2-8fbe-45c31bfeff8f’ 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>_ChunkSizes :</span></dt><dd>[1 2]</dd></dl></div><div class=’xr-var-data’><pre>[120 values with dtype=object]</pre></div></li><li class=’xr-var-item’><div class=’xr-var-name’><span>lat_bnds</span></div><div class=’xr-var-dims’>(lat, bnds)</div><div class=’xr-var-dtype’>float64</div><div class=’xr-var-preview xr-preview’>…</div><input id=’attrs-323be18f-3fea-4222-ace8-d9ee2b36368a’ class=’xr-var-attrs-in’ type=’checkbox’ ><label for=’attrs-323be18f-3fea-4222-ace8-d9ee2b36368a’ title=’Show/Hide attributes’><svg class=’icon xr-icon-file-text2’><use xlink:href=’#icon-file-text2’></use></svg></label><input id=’data-b26d5096-55c7-4764-907c-57ff08d6d843’ class=’xr-var-data-in’ type=’checkbox’><label for=’data-b26d5096-55c7-4764-907c-57ff08d6d843’ 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>_ChunkSizes :</span></dt><dd>[145 2]</dd></dl></div><div class=’xr-var-data’><pre>[290 values with dtype=float64]</pre></div></li><li class=’xr-var-item’><div class=’xr-var-name’><span>lon_bnds</span></div><div class=’xr-var-dims’>(lon, bnds)</div><div class=’xr-var-dtype’>float64</div><div class=’xr-var-preview xr-preview’>…</div><input id=’attrs-909e6c94-2a6e-48b4-8a94-361ee80bd435’ class=’xr-var-attrs-in’ type=’checkbox’ ><label for=’attrs-909e6c94-2a6e-48b4-8a94-361ee80bd435’ title=’Show/Hide attributes’><svg class=’icon xr-icon-file-text2’><use xlink:href=’#icon-file-text2’></use></svg></label><input id=’data-5472b24e-3058-4d39-a4c6-0030c7e3fb89’ class=’xr-var-data-in’ type=’checkbox’><label for=’data-5472b24e-3058-4d39-a4c6-0030c7e3fb89’ 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>_ChunkSizes :</span></dt><dd>[192 2]</dd></dl></div><div class=’xr-var-data’><pre>[384 values with dtype=float64]</pre></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’>-29.36 -29.36 … -31.07 -31.07</div><input id=’attrs-d42f6930-8b39-41dd-9598-6e5fc9ecc4f6’ class=’xr-var-attrs-in’ type=’checkbox’ disabled><label for=’attrs-d42f6930-8b39-41dd-9598-6e5fc9ecc4f6’ title=’Show/Hide attributes’><svg class=’icon xr-icon-file-text2’><use xlink:href=’#icon-file-text2’></use></svg></label><input id=’data-3f9c17b1-d5e5-4c2b-9a9a-4b303d1688bd’ class=’xr-var-data-in’ type=’checkbox’><label for=’data-3f9c17b1-d5e5-4c2b-9a9a-4b303d1688bd’ 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’><pre>array([[[-29.355972 , -29.355972 , -29.355972 , …, -29.355972 ,n”, “ -29.355972 , -29.355972 ],n”, “ [-28.003357 , -28.017807 , -28.036758 , …, -27.963135 ,n”, “ -27.975769 , -27.98819 ],n”, “ [-27.37091 , -27.45134 , -27.535522 , …, -27.139175 ,n”, “ -27.210953 , -27.292435 ],n”, “ …,n”, “ [-36.016327 , -36.020416 , -36.030487 , …, -36.001053 ,n”, “ -35.978714 , -35.989914 ],n”, “ [-35.292633 , -35.31819 , -35.345062 , …, -35.26677 ,n”, “ -35.279694 , -35.281097 ],n”, “ [-34.954376 , -34.954376 , -34.954376 , …, -34.954376 ,n”, “ -34.954376 , -34.954376 ]],n”, “n”, “ [[-38.76712 , -38.76712 , -38.76712 , …, -38.76712 ,n”, “ -38.76712 , -38.76712 ],n”, “ [-37.042587 , -37.086456 , -37.132782 , …, -36.91037 ,n”, “ -36.95671 , -36.99539 ],n”, “ [-36.136673 , -36.267227 , -36.397842 , …, -35.73355 ,n”, “ -35.865616 , -36.001617 ],n”, “…n”, “ [-23.614487 , -23.538742 , -23.457184 , …, -23.859207 ,n”, “ -23.767532 , -23.697678 ],n”, “ [-24.92923 , -24.90483 , -24.878616 , …, -25.023895 ,n”, “ -25.009842 , -24.970001 ],n”, “ [-26.15857 , -26.15857 , -26.15857 , …, -26.15857 ,n”, “ -26.15857 , -26.15857 ]],n”, “n”, “ [[-29.958633 , -29.958633 , -29.958633 , …, -29.958633 ,n”, “ -29.958633 , -29.958633 ],n”, “ [-28.73851 , -28.776047 , -28.814606 , …, -28.628693 ,n”, “ -28.662338 , -28.6996 ],n”, “ [-28.04181 , -28.164856 , -28.287155 , …, -27.6837 ,n”, “ -27.798935 , -27.91861 ],n”, “ …,n”, “ [-29.491394 , -29.39035 , -29.287476 , …, -29.817932 ,n”, “ -29.700745 , -29.59967 ],n”, “ [-30.09056 , -30.031967 , -29.971268 , …, -30.301758 ,n”, “ -30.243591 , -30.158798 ],n”, “ [-31.06688 , -31.06688 , -31.06688 , …, -31.06688 ,n”, “ -31.06688 , -31.06688 ]]], dtype=float32)</pre></div></li></ul></div></li><li class=’xr-section-item’><input id=’section-e69ebbe4-04bb-491a-af65-1378c5a1f57a’ class=’xr-section-summary-in’ type=’checkbox’ ><label for=’section-e69ebbe4-04bb-491a-af65-1378c5a1f57a’ 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>time</div></div><div class=’xr-index-preview’>PandasIndex</div><input type=’checkbox’ disabled/><label></label><input id=’index-4cd8f2dd-95ac-40fb-9dab-ce919089c8a5’ class=’xr-index-data-in’ type=’checkbox’/><label for=’index-4cd8f2dd-95ac-40fb-9dab-ce919089c8a5’ title=’Show/Hide index repr’><svg class=’icon xr-icon-database’><use xlink:href=’#icon-database’></use></svg></label><div class=’xr-index-data’><pre>PandasIndex(CFTimeIndex([1870-01-16 12:00:00, 1870-02-15 00:00:00, 1870-03-16 12:00:00,n”, “ 1870-04-16 00:00:00, 1870-05-16 12:00:00, 1870-06-16 00:00:00,n”, “ 1870-07-16 12:00:00, 1870-08-16 12:00:00, 1870-09-16 00:00:00,n”, “ 1870-10-16 12:00:00, 1870-11-16 00:00:00, 1870-12-16 12:00:00,n”, “ 1871-01-16 12:00:00, 1871-02-15 00:00:00, 1871-03-16 12:00:00,n”, “ 1871-04-16 00:00:00, 1871-05-16 12:00:00, 1871-06-16 00:00:00,n”, “ 1871-07-16 12:00:00, 1871-08-16 12:00:00, 1871-09-16 00:00:00,n”, “ 1871-10-16 12:00:00, 1871-11-16 00:00:00, 1871-12-16 12:00:00,n”, “ 1872-01-16 12:00:00, 1872-02-15 12:00:00, 1872-03-16 12:00:00,n”, “ 1872-04-16 00:00:00, 1872-05-16 12:00:00, 1872-06-16 00:00:00,n”, “ 1872-07-16 12:00:00, 1872-08-16 12:00:00, 1872-09-16 00:00:00,n”, “ 1872-10-16 12:00:00, 1872-11-16 00:00:00, 1872-12-16 12:00:00,n”, “ 1873-01-16 12:00:00, 1873-02-15 00:00:00, 1873-03-16 12:00:00,n”, “ 1873-04-16 00:00:00, 1873-05-16 12:00:00, 1873-06-16 00:00:00,n”, “ 1873-07-16 12:00:00, 1873-08-16 12:00:00, 1873-09-16 00:00:00,n”, “ 1873-10-16 12:00:00, 1873-11-16 00:00:00, 1873-12-16 12:00:00,n”, “ 1874-01-16 12:00:00, 1874-02-15 00:00:00, 1874-03-16 12:00:00,n”, “ 1874-04-16 00:00:00, 1874-05-16 12:00:00, 1874-06-16 00:00:00,n”, “ 1874-07-16 12:00:00, 1874-08-16 12:00:00, 1874-09-16 00:00:00,n”, “ 1874-10-16 12:00:00, 1874-11-16 00:00:00, 1874-12-16 12:00:00],n”, “ dtype=&#x27;object&#x27;,n”, “ length=60,n”, “ calendar=&#x27;proleptic_gregorian&#x27;,n”, “ freq=None))</pre></div></li><li class=’xr-var-item’><div class=’xr-index-name’><div>lat</div></div><div class=’xr-index-preview’>PandasIndex</div><input type=’checkbox’ disabled/><label></label><input id=’index-69690b8a-75ad-4e99-8bc6-0394fb4d5ba0’ class=’xr-index-data-in’ type=’checkbox’/><label for=’index-69690b8a-75ad-4e99-8bc6-0394fb4d5ba0’ 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([ -90.0, -88.75, -87.5, -86.25, -85.0, -83.75, -82.5, -81.25, -80.0,n”, “ -78.75,n”, “ …n”, “ 78.75, 80.0, 81.25, 82.5, 83.75, 85.0, 86.25, 87.5, 88.75,n”, “ 90.0],n”, “ dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=145))</pre></div></li><li class=’xr-var-item’><div class=’xr-index-name’><div>lon</div></div><div class=’xr-index-preview’>PandasIndex</div><input type=’checkbox’ disabled/><label></label><input id=’index-dd3e69cd-afba-47b9-a05e-a1fb420bf271’ class=’xr-index-data-in’ type=’checkbox’/><label for=’index-dd3e69cd-afba-47b9-a05e-a1fb420bf271’ 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, 1.875, 3.75, 5.625, 7.5, 9.375, 11.25, 13.125,n”, “ 15.0, 16.875,n”, “ …n”, “ 341.25, 343.125, 345.0, 346.875, 348.75, 350.625, 352.5, 354.375,n”, “ 356.25, 358.125],n”, “ dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=192))</pre></div></li></ul></div></li><li class=’xr-section-item’><input id=’section-0c500aec-273e-4c21-8bfa-966b3082566a’ class=’xr-section-summary-in’ type=’checkbox’ ><label for=’section-0c500aec-273e-4c21-8bfa-966b3082566a’ class=’xr-section-summary’ >Attributes: <span>(48)</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>CMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>87658.0</dd><dt><span>creation_date :</span></dt><dd>2020-06-05T04:06:11Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.30</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</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.CSIRO.ACCESS-ESM1-5.historical.none.r10i1p1f1</dd><dt><span>grid :</span></dt><dd>native atmosphere N96 grid (145x192 latxlon)</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2020-06-05T04:06:11Z ; 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>Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia</dd><dt><span>institution_id :</span></dt><dd>CSIRO</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>250 km</dd><dt><span>notes :</span></dt><dd>Exp: ESM-historical; Local ID: HI-14; Variable: tas ([&#x27;fld_s03i236&#x27;])</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>ACCESS-ESM1-5</dd><dt><span>parent_time_units :</span></dt><dd>days since 0101-1-1</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>realization_index :</span></dt><dd>10</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>run_variant :</span></dt><dd>forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>source :</span></dt><dd>ACCESS-ESM1.5 (2019): n”, “aerosol: CLASSIC (v1.0)n”, “atmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m)n”, “atmosChem: nonen”, “land: CABLE2.4n”, “landIce: nonen”, “ocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)n”, “ocnBgchem: WOMBAT (same grid as ocean)n”, “seaIce: CICE4.1 (same grid as ocean)</dd><dt><span>source_id :</span></dt><dd>ACCESS-ESM1-5</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:(30 April 2019) MD5:5bd755e94c2173cb3050a0f3480f60c4</dd><dt><span>title :</span></dt><dd>ACCESS-ESM1-5 output prepared for CMIP6</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r10i1p1f1</dd><dt><span>version :</span></dt><dd>v20200605</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by CSIRO 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). 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/af78ae5e-f3a6-4e99-8cfe-5f29eb467cd1</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>”

], “text/plain”: [

“<xarray.Dataset> Size: 7MBn”, “Dimensions: (time: 60, bnds: 2, lat: 145, lon: 192)n”, “Coordinates:n”, “ * time (time) object 480B 1870-01-16 12:00:00 … 1874-12-16 12:00:00n”, “ * lat (lat) float64 1kB -90.0 -88.75 -87.5 -86.25 … 87.5 88.75 90.0n”, “ * lon (lon) float64 2kB 0.0 1.875 3.75 5.625 … 354.4 356.2 358.1n”, “ height float64 8B 2.0n”, “Dimensions without coordinates: bndsn”, “Data variables:n”, “ time_bnds (time, bnds) object 960B …n”, “ lat_bnds (lat, bnds) float64 2kB …n”, “ lon_bnds (lon, bnds) float64 3kB …n”, “ tas (time, lat, lon) float32 7MB -29.36 -29.36 … -31.07 -31.07n”, “Attributes: (12/48)n”, “ Conventions: CF-1.7 CMIP-6.2n”, “ activity_id: CMIPn”, “ branch_method: standardn”, “ branch_time_in_child: 0.0n”, “ branch_time_in_parent: 87658.0n”, “ creation_date: 2020-06-05T04:06:11Zn”, “ … …n”, “ variant_label: r10i1p1f1n”, “ version: v20200605n”, “ license: CMIP6 model data produced by CSIRO is li…n”, “ cmor_version: 3.4.0n”, “ tracking_id: hdl:21.14100/af78ae5e-f3a6-4e99-8cfe-5f2…n”, “ DODS_EXTRA.Unlimited_Dimension: time”

]

}, “execution_count”: 1, “metadata”: {}, “output_type”: “execute_result”

}

],

>>>>>>> Stashed changes

“source”: [

“# parametersn”, “import xcdat as xcn”, “import xarray as xrn”, “import numpy as npn”, “import matplotlib.pyplot as pltn”, “import cartopy.crs as ccrsn”, “n”, “# open datasetn”, “ds = xc.tutorial.open_dataset("tas_amon_access", use_cftime=True)n”, “n”, “# Unit adjust (-273.15, K to C)n”, “ds["tas"] = ds.tas - 273.15n”, “n”, “ds”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“## 2. Global averagen”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {}, “outputs”: [], “source”: [

“# if you do not specify lat_bounds or lon_bounds, the averager will calculate the domain meann”, “ds_global_avg = ds.spatial.average("tas")”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {},

<<<<<<< Updated upstream

“outputs”: [],

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“n”, “.xr-section-summary > span {n”, “ display: inline-block;n”, “ padding-left: 0.5em;n”, “}n”, “n”, “.xr-section-summary-in:disabled + label {n”, “ color: var(–xr-font-color2);n”, “}n”, “n”, “.xr-section-summary-in + label:before {n”, “ display: inline-block;n”, “ content: "►";n”, “ font-size: 11px;n”, “ width: 15px;n”, “ text-align: center;n”, “}n”, “n”, “.xr-section-summary-in:disabled + label:before {n”, “ color: var(–xr-disabled-color);n”, “}n”, “n”, “.xr-section-summary-in:checked + label:before {n”, “ content: "▼";n”, “}n”, “n”, “.xr-section-summary-in:checked + label > span {n”, “ display: none;n”, “}n”, “n”, “.xr-section-summary,n”, “.xr-section-inline-details {n”, “ padding-top: 4px;n”, “ padding-bottom: 4px;n”, “}n”, “n”, “.xr-section-inline-details {n”, “ grid-column: 2 / -1;n”, “}n”, “n”, “.xr-section-details {n”, “ display: none;n”, “ grid-column: 1 / -1;n”, “ margin-bottom: 5px;n”, “}n”, “n”, “.xr-section-summary-in:checked ~ .xr-section-details {n”, “ display: 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",";n”, “ padding-right: 5px;n”, “}n”, “n”, “.xr-has-index {n”, “ font-weight: bold;n”, “}n”, “n”, “.xr-var-list,n”, “.xr-var-item {n”, “ display: contents;n”, “}n”, “n”, “.xr-var-item > div,n”, “.xr-var-item label,n”, “.xr-var-item > .xr-var-name span {n”, “ background-color: var(–xr-background-color-row-even);n”, “ margin-bottom: 0;n”, “}n”, “n”, “.xr-var-item > .xr-var-name:hover span {n”, “ padding-right: 5px;n”, “}n”, “n”, “.xr-var-list > li:nth-child(odd) > div,n”, “.xr-var-list > li:nth-child(odd) > label,n”, “.xr-var-list > li:nth-child(odd) > .xr-var-name span {n”, “ background-color: var(–xr-background-color-row-odd);n”, “}n”, “n”, “.xr-var-name {n”, “ grid-column: 1;n”, “}n”, “n”, “.xr-var-dims {n”, “ grid-column: 2;n”, “}n”, “n”, “.xr-var-dtype {n”, “ grid-column: 3;n”, “ text-align: right;n”, “ color: var(–xr-font-color2);n”, “}n”, “n”, “.xr-var-preview {n”, “ grid-column: 4;n”, “}n”, “n”, “.xr-index-preview {n”, “ grid-column: 2 / 5;n”, “ color: var(–xr-font-color2);n”, “}n”, “n”, “.xr-var-name,n”, “.xr-var-dims,n”, “.xr-var-dtype,n”, “.xr-preview,n”, “.xr-attrs dt {n”, “ white-space: nowrap;n”, “ overflow: hidden;n”, “ text-overflow: ellipsis;n”, “ padding-right: 10px;n”, “}n”, “n”, “.xr-var-name:hover,n”, “.xr-var-dims:hover,n”, “.xr-var-dtype:hover,n”, “.xr-attrs dt:hover {n”, “ overflow: visible;n”, “ width: auto;n”, “ z-index: 1;n”, “}n”, “n”, “.xr-var-attrs,n”, “.xr-var-data,n”, “.xr-index-data {n”, “ display: none;n”, “ background-color: var(–xr-background-color) !important;n”, “ padding-bottom: 5px !important;n”, “}n”, “n”, “.xr-var-attrs-in:checked ~ .xr-var-attrs,n”, “.xr-var-data-in:checked ~ .xr-var-data,n”, “.xr-index-data-in:checked ~ .xr-index-data {n”, “ display: block;n”, “}n”, “n”, “.xr-var-data > table {n”, “ float: right;n”, “}n”, “n”, “.xr-var-name span,n”, “.xr-var-data,n”, “.xr-index-name div,n”, “.xr-index-data,n”, “.xr-attrs {n”, “ padding-left: 25px !important;n”, “}n”, “n”, “.xr-attrs,n”, “.xr-var-attrs,n”, “.xr-var-data,n”, “.xr-index-data {n”, “ grid-column: 1 / -1;n”, “}n”, “n”, “dl.xr-attrs {n”, “ padding: 0;n”, “ margin: 0;n”, “ display: grid;n”, “ grid-template-columns: 125px auto;n”, “}n”, “n”, “.xr-attrs dt,n”, “.xr-attrs dd {n”, “ padding: 0;n”, “ margin: 0;n”, “ float: left;n”, “ padding-right: 10px;n”, “ width: auto;n”, “}n”, “n”, “.xr-attrs dt {n”, “ font-weight: normal;n”, “ grid-column: 1;n”, “}n”, “n”, “.xr-attrs dt:hover span {n”, “ display: inline-block;n”, “ background: var(–xr-background-color);n”, “ padding-right: 10px;n”, “}n”, “n”, “.xr-attrs dd {n”, “ grid-column: 2;n”, “ white-space: pre-wrap;n”, “ word-break: break-all;n”, “}n”, “n”, “.xr-icon-database,n”, “.xr-icon-file-text2,n”, “.xr-no-icon {n”, “ display: inline-block;n”, “ vertical-align: middle;n”, “ width: 1em;n”, “ height: 1.5em !important;n”, “ stroke-width: 0;n”, “ stroke: currentColor;n”, “ fill: currentColor;n”, “}n”, “</style><pre class=’xr-text-repr-fallback’>&lt;xarray.DataArray &#x27;tas&#x27; (time: 60)&gt; Size: 480Bn”, “array([12.78787096, 12.98421873, 13.59906251, 14.54901963, 15.51532487,n”, “ 16.13494491, 16.30546351, 16.0613285 , 15.56070008, 14.58555166,n”, “ 13.73878061, 12.91479498, 12.61088035, 12.79145607, 13.73658975,n”, “ 14.76910723, 15.57826905, 16.27559961, 16.45843365, 16.31181527,n”, “ 15.68952026, 14.54437737, 13.48025691, 12.77134113, 12.37870887,n”, “ 12.89432549, 13.66331006, 14.59067165, 15.60757289, 16.05545182,n”, “ 16.28636964, 16.0939566 , 15.4121585 , 14.537593 , 13.51253869,n”, “ 12.72744253, 12.31136747, 12.84802024, 13.62393305, 14.6301239 ,n”, “ 15.48982027, 16.1884631 , 16.43880242, 16.18848316, 15.47509044,n”, “ 14.51263708, 13.42926586, 12.66967678, 12.48337982, 12.8164503 ,n”, “ 13.59120234, 14.41312535, 15.33968354, 16.12880464, 16.29710238,n”, “ 16.17515698, 15.33535881, 14.30920615, 13.48794425, 12.53171181])n”, “Coordinates:n”, “ * time (time) object 480B 1870-01-16 12:00:00 … 1874-12-16 12:00:00n”, “ height float64 8B 2.0</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’>’tas’</div><ul class=’xr-dim-list’><li><span class=’xr-has-index’>time</span>: 60</li></ul></div><ul class=’xr-sections’><li class=’xr-section-item’><div class=’xr-array-wrap’><input id=’section-ae8faa7f-9e22-4b65-ac4a-752efd4a2719’ class=’xr-array-in’ type=’checkbox’ checked><label for=’section-ae8faa7f-9e22-4b65-ac4a-752efd4a2719’ 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>12.79 12.98 13.6 14.55 15.52 16.13 … 16.18 15.34 14.31 13.49 12.53</span></div><div class=’xr-array-data’><pre>array([12.78787096, 12.98421873, 13.59906251, 14.54901963, 15.51532487,n”, “ 16.13494491, 16.30546351, 16.0613285 , 15.56070008, 14.58555166,n”, “ 13.73878061, 12.91479498, 12.61088035, 12.79145607, 13.73658975,n”, “ 14.76910723, 15.57826905, 16.27559961, 16.45843365, 16.31181527,n”, “ 15.68952026, 14.54437737, 13.48025691, 12.77134113, 12.37870887,n”, “ 12.89432549, 13.66331006, 14.59067165, 15.60757289, 16.05545182,n”, “ 16.28636964, 16.0939566 , 15.4121585 , 14.537593 , 13.51253869,n”, “ 12.72744253, 12.31136747, 12.84802024, 13.62393305, 14.6301239 ,n”, “ 15.48982027, 16.1884631 , 16.43880242, 16.18848316, 15.47509044,n”, “ 14.51263708, 13.42926586, 12.66967678, 12.48337982, 12.8164503 ,n”, “ 13.59120234, 14.41312535, 15.33968354, 16.12880464, 16.29710238,n”, “ 16.17515698, 15.33535881, 14.30920615, 13.48794425, 12.53171181])</pre></div></div></li><li class=’xr-section-item’><input id=’section-b401707b-2281-4434-b45e-494ef5bf07c1’ class=’xr-section-summary-in’ type=’checkbox’ checked><label for=’section-b401707b-2281-4434-b45e-494ef5bf07c1’ 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’>1870-01-16 12:00:00 … 1874-12-…</div><input id=’attrs-7ce33713-9624-47bd-8880-d2e201d6fb94’ class=’xr-var-attrs-in’ type=’checkbox’ ><label for=’attrs-7ce33713-9624-47bd-8880-d2e201d6fb94’ title=’Show/Hide attributes’><svg class=’icon xr-icon-file-text2’><use xlink:href=’#icon-file-text2’></use></svg></label><input id=’data-4b8e95a8-e5c1-411e-8c67-15be24948ace’ class=’xr-var-data-in’ type=’checkbox’><label for=’data-4b8e95a8-e5c1-411e-8c67-15be24948ace’ 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><dt><span>_ChunkSizes :</span></dt><dd>1</dd></dl></div><div class=’xr-var-data’><pre>array([cftime.DatetimeProlepticGregorian(1870, 1, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 2, 15, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 3, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 4, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 5, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 6, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 7, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 8, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 9, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 10, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 11, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1870, 12, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 1, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 2, 15, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 3, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 4, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 5, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 6, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 7, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 8, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 9, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 10, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 11, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1871, 12, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 1, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 2, 15, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 3, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 4, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 5, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 6, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 7, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 8, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 9, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 10, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 11, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1872, 12, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 1, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 2, 15, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 3, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 4, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 5, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 6, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 7, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 8, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 9, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 10, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 11, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1873, 12, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 1, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 2, 15, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 3, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 4, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 5, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 6, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 7, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 8, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 9, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 10, 16, 12, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 11, 16, 0, 0, 0, 0, has_year_zero=True),n”, “ cftime.DatetimeProlepticGregorian(1874, 12, 16, 12, 0, 0, 0, has_year_zero=True)],n”, “ dtype=object)</pre></div></li><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’>2.0</div><input id=’attrs-eb4d35fa-9e1b-4249-8b8c-43cad8606d01’ class=’xr-var-attrs-in’ type=’checkbox’ ><label for=’attrs-eb4d35fa-9e1b-4249-8b8c-43cad8606d01’ title=’Show/Hide attributes’><svg class=’icon xr-icon-file-text2’><use xlink:href=’#icon-file-text2’></use></svg></label><input id=’data-90157454-d07a-482e-b2dc-1e4dec77cf13’ class=’xr-var-data-in’ type=’checkbox’><label for=’data-90157454-d07a-482e-b2dc-1e4dec77cf13’ 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>array(2.)</pre></div></li></ul></div></li><li class=’xr-section-item’><input id=’section-15ba52d8-f26b-48cc-b8fd-86773f045df7’ class=’xr-section-summary-in’ type=’checkbox’ ><label for=’section-15ba52d8-f26b-48cc-b8fd-86773f045df7’ class=’xr-section-summary’ >Indexes: <span>(1)</span></label><div class=’xr-section-inline-details’></div><div class=’xr-section-details’><ul class=’xr-var-list’><li class=’xr-var-item’><div class=’xr-index-name’><div>time</div></div><div class=’xr-index-preview’>PandasIndex</div><input type=’checkbox’ disabled/><label></label><input id=’index-629f7dd0-9d6e-4b95-a420-2b2f02148061’ class=’xr-index-data-in’ type=’checkbox’/><label for=’index-629f7dd0-9d6e-4b95-a420-2b2f02148061’ title=’Show/Hide index repr’><svg class=’icon xr-icon-database’><use xlink:href=’#icon-database’></use></svg></label><div class=’xr-index-data’><pre>PandasIndex(CFTimeIndex([1870-01-16 12:00:00, 1870-02-15 00:00:00, 1870-03-16 12:00:00,n”, “ 1870-04-16 00:00:00, 1870-05-16 12:00:00, 1870-06-16 00:00:00,n”, “ 1870-07-16 12:00:00, 1870-08-16 12:00:00, 1870-09-16 00:00:00,n”, “ 1870-10-16 12:00:00, 1870-11-16 00:00:00, 1870-12-16 12:00:00,n”, “ 1871-01-16 12:00:00, 1871-02-15 00:00:00, 1871-03-16 12:00:00,n”, “ 1871-04-16 00:00:00, 1871-05-16 12:00:00, 1871-06-16 00:00:00,n”, “ 1871-07-16 12:00:00, 1871-08-16 12:00:00, 1871-09-16 00:00:00,n”, “ 1871-10-16 12:00:00, 1871-11-16 00:00:00, 1871-12-16 12:00:00,n”, “ 1872-01-16 12:00:00, 1872-02-15 12:00:00, 1872-03-16 12:00:00,n”, “ 1872-04-16 00:00:00, 1872-05-16 12:00:00, 1872-06-16 00:00:00,n”, “ 1872-07-16 12:00:00, 1872-08-16 12:00:00, 1872-09-16 00:00:00,n”, “ 1872-10-16 12:00:00, 1872-11-16 00:00:00, 1872-12-16 12:00:00,n”, “ 1873-01-16 12:00:00, 1873-02-15 00:00:00, 1873-03-16 12:00:00,n”, “ 1873-04-16 00:00:00, 1873-05-16 12:00:00, 1873-06-16 00:00:00,n”, “ 1873-07-16 12:00:00, 1873-08-16 12:00:00, 1873-09-16 00:00:00,n”, “ 1873-10-16 12:00:00, 1873-11-16 00:00:00, 1873-12-16 12:00:00,n”, “ 1874-01-16 12:00:00, 1874-02-15 00:00:00, 1874-03-16 12:00:00,n”, “ 1874-04-16 00:00:00, 1874-05-16 12:00:00, 1874-06-16 00:00:00,n”, “ 1874-07-16 12:00:00, 1874-08-16 12:00:00, 1874-09-16 00:00:00,n”, “ 1874-10-16 12:00:00, 1874-11-16 00:00:00, 1874-12-16 12:00:00],n”, “ dtype=&#x27;object&#x27;,n”, “ length=60,n”, “ calendar=&#x27;proleptic_gregorian&#x27;,n”, “ freq=None))</pre></div></li></ul></div></li><li class=’xr-section-item’><input id=’section-7968dbdd-6b4d-4f7f-915f-e442c4605735’ class=’xr-section-summary-in’ type=’checkbox’ disabled ><label 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], “text/plain”: [

“<xarray.DataArray ‘tas’ (time: 60)> Size: 480Bn”, “array([12.78787096, 12.98421873, 13.59906251, 14.54901963, 15.51532487,n”, “ 16.13494491, 16.30546351, 16.0613285 , 15.56070008, 14.58555166,n”, “ 13.73878061, 12.91479498, 12.61088035, 12.79145607, 13.73658975,n”, “ 14.76910723, 15.57826905, 16.27559961, 16.45843365, 16.31181527,n”, “ 15.68952026, 14.54437737, 13.48025691, 12.77134113, 12.37870887,n”, “ 12.89432549, 13.66331006, 14.59067165, 15.60757289, 16.05545182,n”, “ 16.28636964, 16.0939566 , 15.4121585 , 14.537593 , 13.51253869,n”, “ 12.72744253, 12.31136747, 12.84802024, 13.62393305, 14.6301239 ,n”, “ 15.48982027, 16.1884631 , 16.43880242, 16.18848316, 15.47509044,n”, “ 14.51263708, 13.42926586, 12.66967678, 12.48337982, 12.8164503 ,n”, “ 13.59120234, 14.41312535, 15.33968354, 16.12880464, 16.29710238,n”, “ 16.17515698, 15.33535881, 14.30920615, 13.48794425, 12.53171181])n”, “Coordinates:n”, “ * time (time) object 480B 1870-01-16 12:00:00 … 1874-12-16 12:00:00n”, “ height float64 8B 2.0”

]

}, “execution_count”: 3, “metadata”: {}, “output_type”: “execute_result”

}

],

>>>>>>> Stashed changes

“source”: [

“ds_global_avg.tas”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {},

<<<<<<< Updated upstream

“outputs”: [],

“data”: {

“text/plain”: [

“Text(0, 0.5, ‘Near Surface Air Temperature [$^{\\circ}$C]’)”

]

}, “execution_count”: 4, “metadata”: {}, “output_type”: “execute_result”

}, {

“data”: {

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”, “text/plain”: [

“<Figure size 640x480 with 1 Axes>”

]

}, “metadata”: {}, “output_type”: “display_data”

}

],

>>>>>>> Stashed changes

“source”: [

“# Plot the first 120 time stepsn”, “ds_global_avg.tas.isel(time=slice(0, 120)).plot()n”, “plt.title("Global Average Surface Temperature")n”, “plt.xlabel("Year")n”, “plt.ylabel("Near Surface Air Temperature [$^{\\circ}$C]")”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“## 3. Tropical averagen”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {}, “outputs”: [], “source”: [

“# compute the tropical averagen”, “ds_trop_avg = ds.spatial.average("tas", lat_bounds=(-25, 25))”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {},

<<<<<<< Updated upstream

“outputs”: [],

“data”: {

“text/plain”: [

“Text(0, 0.5, ‘Near Surface Air Temperature [$^{\\circ}$C]’)”

]

}, “execution_count”: 6, “metadata”: {}, “output_type”: “execute_result”

}, {

“data”: {

“image/png”: 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”, “text/plain”: [

“<Figure size 640x480 with 1 Axes>”

]

}, “metadata”: {}, “output_type”: “display_data”

}

],

>>>>>>> Stashed changes

“source”: [

“# Plot the first 120 time stepsn”, “ds_trop_avg.tas.isel(time=slice(0, 120)).plot()n”, “plt.title("Tropical Average Surface Temperature")n”, “plt.xlabel("Year")n”, “plt.ylabel("Near Surface Air Temperature [$^{\\circ}$C]")”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“## 4. Nino 3.4 Regionn”, “n”, “> Niño 3.4 (5N-5S, 170W-120W): The Niño 3.4 anomalies may be thought of as representing the average equatorial SSTs across the Pacific from about the dateline to the South American coast. The Niño 3.4 index typically uses a 5-month running mean, and El Niño or La Niña events are defined when the Niño 3.4 SSTs exceed +/- 0.4C for a period of six months or more."n”, “>n”, “> &mdash; <cite>https://climatedataguide.ucar.edu/climate-data/nino-sst-indices-nino-12-3-34-4-oni-and-tni</cite>n”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {}, “outputs”: [], “source”: [

“# compute the nino 3.4 averagen”, “ds_nino_avg = ds.spatial.average("tas", lat_bounds=(-5, 5), lon_bounds=(190, 240))”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {},

<<<<<<< Updated upstream

“outputs”: [],

“data”: {

“text/plain”: [

“Text(0, 0.5, ‘Near Surface Air Temperature [$^{\\circ}$C]’)”

]

}, “execution_count”: 8, “metadata”: {}, “output_type”: “execute_result”

}, {

“data”: {

“image/png”: 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”, “text/plain”: [

“<Figure size 640x480 with 1 Axes>”

]

}, “metadata”: {}, “output_type”: “display_data”

}

],

>>>>>>> Stashed changes

“source”: [

“ds_nino_avg.tas.plot()n”, “plt.title("Ni$\\mathrm{\\tilde{n}}$o 3.4 Region Surface Temperature")n”, “plt.xlabel("Year")n”, “plt.ylabel("Near Surface Air Temperature [$^{\\circ}$C]")”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“## 5. Retain / Inspect Spatial Weightsn”, “n”, “xCDAT can retain the weights used for spatial averaging using keep_weights=True. Here we retain and inspect these weights for the Niño 3.4 region. Note that along the edges of the Niño 3.4 box the weights are slightly less (since some grid cells are not fully in the averaging box and thus receive partial weight).n”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {}, “outputs”: [], “source”: [

“# recompute the nino 3.4 average, but retain weightsn”, “ds_nino_avg = ds.spatial.average(n”, “ "tas", lat_bounds=(-5, 5), lon_bounds=(190, 240), keep_weights=Truen”, “)”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {},

<<<<<<< Updated upstream

“outputs”: [],

“data”: {

“text/plain”: [

“Text(0.5, 1.0, ‘Nino 3.4 Weights’)”

]

}, “execution_count”: 10, “metadata”: {}, “output_type”: “execute_result”

}, {

“data”: {

“image/png”: 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”, “text/plain”: [

“<Figure size 640x480 with 2 Axes>”

]

}, “metadata”: {}, “output_type”: “display_data”

}

],

>>>>>>> Stashed changes

“source”: [

“# plot the weightsn”, “ax = plt.axes(projection=ccrs.Robinson(central_longitude=180.0))n”, “plt.pcolor(n”, “ ds_nino_avg.lon,n”, “ ds_nino_avg.lat,n”, “ ds_nino_avg.lat_lon_wts.T,n”, “ transform=ccrs.PlateCarree(),n”, “ cmap=plt.cm.Purples,n”, “)n”, “ax.coastlines()n”, “plt.colorbar(orientation="horizontal")n”, “plt.title("Nino 3.4 Weights")”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“## 6. Create and apply your own weightsn”, “n”, “Instead of having xcdat generate geospatial weights, you may want to create your own weights. You can pass your own weights into xcdat. Here we show an example of weighting the surface temperature data in the tropics by precipitation.n”, “n”, “<div class="alert alert-block alert-warning"><b>Warning:</b> The lat_bounds and lon_bounds args are used when calculating axis weights, but is ignored if weights are supplied.</div>n”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {}, “outputs”: [], “source”: [

“# let’s grab and open the precipitation dataset that corresponds to our temperature datan”, “ds_pr = xc.tutorial.open_dataset("pr_amon_access", use_cftime=True)”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {}, “outputs”: [], “source”: [

“# we will use the precip data as weights (zeroing out extratropical data)n”, “weights = ds_pr.pr.where(np.abs(ds_pr.pr.lat) < 30, 0.0)n”, “# and apply a cos(lat) weightingn”, “weights = weights * np.cos(np.radians(ds_pr.lat))n”, “# compute precipitation weighted temperaturen”, “ds_pw = ds.spatial.average("tas", weights=weights)”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {},

<<<<<<< Updated upstream

“outputs”: [],

“data”: {

“image/png”: 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”, “text/plain”: [

“<Figure size 1000x300 with 3 Axes>”

]

}, “metadata”: {}, “output_type”: “display_data”

}

],

>>>>>>> Stashed changes

“source”: [

“# plot the first timestep of the weights matrixn”, “plt.figure(figsize=(10, 3))n”, “ax = plt.subplot(1, 2, 1, projection=ccrs.Robinson(central_longitude=180.0))n”, “plt.pcolor(n”, “ ds_pr.lon, ds_pr.lat, weights[0], transform=ccrs.PlateCarree(), cmap=plt.cm.Purplesn”, “)n”, “ax.coastlines()n”, “plt.colorbar(orientation="horizontal", ticks=[0, 0.0001, 0.0002, 0.0003, 0.0004])n”, “plt.subplot(1, 2, 2)n”, “plt.title("Weights (time=")n”, “n”, “# plotn”, “ds_pw.tas.plot()n”, “plt.title("Precipitation-weighted Tropical Surface Temperature")n”, “plt.xlabel("Year")n”, “plt.ylabel("Near Surface Air Temperature [$^{\\circ}$C]")n”, “plt.tight_layout()”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“## 7. Compute a zonal averagen”, “n”, “You do not need to average over both latitude and longitude. Here we show an example in which we take the zonal average (average over all longitude values).n”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {}, “outputs”: [], “source”: [

“# take zonal averagen”, “ds_zonal = ds.spatial.average("tas", axis=["X"])”

]

}, {

“cell_type”: “code”, “execution_count”: null, “metadata”: {},

<<<<<<< Updated upstream

“outputs”: [],

“data”: {

“text/plain”: [

“Text(0.5, 1.0, ‘Zonal Mean Surface Air Temperature’)”

]

}, “execution_count”: 15, “metadata”: {}, “output_type”: “execute_result”

}, {

“data”: {

“image/png”: 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”, “text/plain”: [

“<Figure size 1200x500 with 3 Axes>”

]

}, “metadata”: {}, “output_type”: “display_data”

}

],

>>>>>>> Stashed changes

“source”: [

“# plot first time stepn”, “plt.figure(figsize=(12, 5))n”, “plt.subplot(1, 2, 1)n”, “ds_zonal.tas[0].plot()n”, “plt.ylabel("Near Surface Air Temperature [$^{\\circ}$C]")n”, “plt.xlabel("Latitude [$^{\\circ}$N]")n”, “plt.title("Zonal Mean Surface Air Temperature (1/1850)")n”, “n”, “# plot hovmollern”, “plt.subplot(1, 2, 2)n”, “ds_zonal.tas.plot()n”, “plt.xlabel("Latitude [$^{\\circ}$N]")n”, “plt.ylabel("Year")n”, “plt.title("Zonal Mean Surface Air Temperature")”

]

}

], “metadata”: {

“kernelspec”: {

“display_name”: “xcdat_notebook”, “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”: “3.13.2”

}

}, “nbformat”: 4, “nbformat_minor”: 4

}