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HRRR Kerchunk Scan_Grib Tutorial
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HRRR_Kerchunk_Scan_Grib_Tutorial.ipynb
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"cell_type": "markdown",
"id": "771ddf3c-b8a6-4cd3-a932-8f6f98308cea",
"metadata": {},
"source": [
"# HRRR Forecast Collection Time Series\n",
"Read a collection of GRIB2 files on AWS as a single dataset using the Zarr library, via fsspec's ReferenceFileSystem. \n",
"\n",
"This notebook demonstrates how to generate the reference JSON files using [Kerchunk](https://github.com/fsspec/kerchunk) \n"
]
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"cell_type": "code",
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"id": "4fa867fb-7695-4c15-8334-137d99dadc49",
"metadata": {},
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"source": [
"import xarray as xr\n",
"import datetime as dt\n",
"import fsspec\n",
"import ujson\n",
"from kerchunk.grib2 import scan_grib\n",
"from kerchunk.combine import MultiZarrToZarr"
]
},
{
"cell_type": "markdown",
"id": "8e8bcc67-fa0a-4be0-bfd3-1bc3f9e4838f",
"metadata": {},
"source": [
"`fsspec` file systems to read grib2 forecast files from AWS and write reference jsons to an aws bucket in this case"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "a1203662-fdd1-4eea-8869-082ea5a7fba6",
"metadata": {},
"outputs": [],
"source": [
"fs_read = fsspec.filesystem('s3', anon=True, skip_instance_cache=True)\n",
"fs_write = fsspec.filesystem('s3', anon=False)\n",
"#fs_write = fsspec.filesystem('') #uncomment this if you intend to write jsons to a local folder"
]
},
{
"cell_type": "markdown",
"id": "e42af465-ca70-4c5a-b8d5-c5c96a7fa231",
"metadata": {},
"source": [
"Get the latest forecast"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "e5ed9b2f-adba-42d2-9be2-983922018523",
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{
"data": {
"text/plain": [
"['s3://noaa-hrrr-bdp-pds/hrrr.20220804/conus/hrrr.t00z.wrfsfcf01.grib2',\n",
" 's3://noaa-hrrr-bdp-pds/hrrr.20220804/conus/hrrr.t01z.wrfsfcf01.grib2',\n",
" 's3://noaa-hrrr-bdp-pds/hrrr.20220804/conus/hrrr.t02z.wrfsfcf01.grib2',\n",
" 's3://noaa-hrrr-bdp-pds/hrrr.20220804/conus/hrrr.t03z.wrfsfcf01.grib2',\n",
" 's3://noaa-hrrr-bdp-pds/hrrr.20220804/conus/hrrr.t04z.wrfsfcf01.grib2',\n",
" 's3://noaa-hrrr-bdp-pds/hrrr.20220804/conus/hrrr.t05z.wrfsfcf01.grib2',\n",
" 's3://noaa-hrrr-bdp-pds/hrrr.20220804/conus/hrrr.t06z.wrfsfcf01.grib2',\n",
" 's3://noaa-hrrr-bdp-pds/hrrr.20220804/conus/hrrr.t07z.wrfsfcf01.grib2',\n",
" 's3://noaa-hrrr-bdp-pds/hrrr.20220804/conus/hrrr.t08z.wrfsfcf01.grib2',\n",
" 's3://noaa-hrrr-bdp-pds/hrrr.20220804/conus/hrrr.t09z.wrfsfcf01.grib2']"
]
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"execution_count": 3,
"metadata": {},
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],
"source": [
"days_avail = fs_read.glob('s3://noaa-hrrr-bdp-pds/hrrr.*')\n",
"files = fs_read.glob(f's3://{days_avail[-1]}/conus/*wrfsfcf01.grib2')\n",
"files = sorted(['s3://'+f for f in files])\n",
"files"
]
},
{
"cell_type": "markdown",
"id": "80eee2bc-c1b1-415f-8305-4b871bb707df",
"metadata": {},
"source": [
"`scan_grib` does not require a filter and will happily create a reference file for each available grib message. However when combining the grib messages using `MultiZarrToZarr` it is neccassary for the messages to share a coordinate system. Thus to make our lives easier and ensure all reference outputs from `scan_grib` share a coordinate system we pass a filter argument. "
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "c7a37674-eeb7-4e00-ba79-76ba4c672667",
"metadata": {},
"outputs": [],
"source": [
"afilter={'typeOfLevel': 'heightAboveGround', 'level': [2, 10]} "
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "728e02a1-f49a-4eb1-ae5c-e107ae94c134",
"metadata": {},
"outputs": [],
"source": [
"so = {\"anon\": True}"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "a5f59621-8e57-4036-8b84-f3607bcd78ed",
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"json_dir = 's3://esip-qhub/noaa/hrrr/jsons/'\n",
"\n",
"def make_json_name(file_url, message_number): #create a unique name for each reference file\n",
" date = file_url.split('/')[3].split('.')[1]\n",
" name = file_url.split('/')[5].split('.')[1:3]\n",
" return f'{json_dir}{date}_{name[0]}_{name[1]}_message{message_number}.json'\n",
"\n",
"def gen_json(file_url):\n",
" out = scan_grib(file_url, storage_options=so, filter=afilter) #create the reference using scan_grib\n",
" for i, message in enumerate(out): # scan_grib outputs a list containing one reference per grib message\n",
" out_file_name = make_json_name(file_url, i) #get name\n",
" with fs_write.open(out_file_name, \"w\") as f: \n",
" f.write(ujson.dumps(message)) #write to file"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "a6fc06c8-22a9-44e6-a672-651547f2dd38",
"metadata": {},
"outputs": [],
"source": [
"fs_write.rm(json_dir) # clear json directory of old references"
]
},
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"cell_type": "code",
"execution_count": 8,
"id": "17401744-b0b5-4570-ac3f-78a220ee2ae9",
"metadata": {},
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{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 1min 45s, sys: 11.9 s, total: 1min 57s\n",
"Wall time: 4min 42s\n"
]
}
],
"source": [
"%%time\n",
"#this step is best run via a cluster\n",
"for f in files:\n",
" gen_json(f)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "1fa66cb9-df34-4beb-91c9-ea4be373449a",
"metadata": {},
"outputs": [],
"source": [
"reference_jsons = fs_write.ls(json_dir) #get list of file names\n",
"reference_jsons = sorted(['s3://'+f for f in reference_jsons]) #prepend s3 protocol (not neccessary if writing to local filesystem)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "56085bb2-0a7b-49fb-a5e1-4603c942d746",
"metadata": {},
"outputs": [],
"source": [
"#combine individual references into single consolidated reference\n",
"mzz = MultiZarrToZarr(reference_jsons,\n",
" concat_dims = ['valid_time'],\n",
" identical_dims=['latitude', 'longitude', 'heightAboveGround', 'step'])"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "bc558b61-bed2-4869-a854-ce8ab7fa1ca1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 1.4 s, sys: 52.3 ms, total: 1.45 s\n",
"Wall time: 20.4 s\n"
]
}
],
"source": [
"%%time\n",
"d = mzz.translate()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "fbc21971-3db7-4766-a28d-6f54d14e2391",
"metadata": {},
"outputs": [],
"source": [
"#open dataset as zarr object using fsspec reference file system and xarray\n",
"fs = fsspec.filesystem(\"reference\", fo=d, remote_protocol='s3', remote_options={'anon':True})\n",
"m = fs.get_mapper(\"\")\n",
"ds = xr.open_dataset(m, engine=\"zarr\", backend_kwargs=dict(consolidated=False), \n",
" chunks={'valid_time':1})"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "c98c4b2c-8ce4-4c28-8200-3c30b22e3ee2",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (valid_time: 10, x: 1059, y: 1799, heightAboveGround: 1,\n",
" step: 1, time: 1)\n",
"Coordinates:\n",
" * heightAboveGround (heightAboveGround) int64 2\n",
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" * time (time) datetime64[ns] 2022-08-04\n",
" * valid_time (valid_time) datetime64[ns] 2022-08-04T01:00:00 ... 20...\n",
"Dimensions without coordinates: x, y\n",
"Data variables:\n",
" 10si (valid_time, x, y) float64 dask.array&lt;chunksize=(1, 1059, 1799), meta=np.ndarray&gt;\n",
" 10u (valid_time, x, y) float64 dask.array&lt;chunksize=(1, 1059, 1799), meta=np.ndarray&gt;\n",
" 10v (valid_time, x, y) float64 dask.array&lt;chunksize=(1, 1059, 1799), meta=np.ndarray&gt;\n",
" 2d (valid_time, x, y) float64 dask.array&lt;chunksize=(1, 1059, 1799), meta=np.ndarray&gt;\n",
" 2r (valid_time, x, y) float64 dask.array&lt;chunksize=(1, 1059, 1799), meta=np.ndarray&gt;\n",
" 2sh (valid_time, x, y) float64 dask.array&lt;chunksize=(1, 1059, 1799), meta=np.ndarray&gt;\n",
" 2t (valid_time, x, y) float64 dask.array&lt;chunksize=(1, 1059, 1799), meta=np.ndarray&gt;\n",
" latitude (x, y) float64 dask.array&lt;chunksize=(1059, 1799), meta=np.ndarray&gt;\n",
" longitude (x, y) float64 dask.array&lt;chunksize=(1059, 1799), meta=np.ndarray&gt;\n",
" pt (valid_time, x, y) float64 dask.array&lt;chunksize=(1, 1059, 1799), meta=np.ndarray&gt;\n",
" unknown (valid_time, x, y) float64 dask.array&lt;chunksize=(1, 1059, 1799), meta=np.ndarray&gt;\n",
"Attributes:\n",
" centre: kwbc\n",
" centreDescription: US National Weather Service - NCEP\n",
" edition: 2\n",
" subCentre: 0</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-81ed4564-1e19-49aa-806c-9b76f57619e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-81ed4564-1e19-49aa-806c-9b76f57619e3' 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'>valid_time</span>: 10</li><li><span>x</span>: 1059</li><li><span>y</span>: 1799</li><li><span class='xr-has-index'>heightAboveGround</span>: 1</li><li><span class='xr-has-index'>step</span>: 1</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2dd38440-0f31-4d40-b8ac-f16e6dd54bc7' class='xr-section-summary-in' type='checkbox' checked><label for='section-2dd38440-0f31-4d40-b8ac-f16e6dd54bc7' 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'>heightAboveGround</span></div><div class='xr-var-dims'>(heightAboveGround)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2</div><input id='attrs-34154dc9-386e-455e-b9a2-be25f556b7ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34154dc9-386e-455e-b9a2-be25f556b7ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c71dade9-3a8f-469a-b75a-819ffac0c4d0' class='xr-var-data-in' type='checkbox'><label for='data-c71dade9-3a8f-469a-b75a-819ffac0c4d0' 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>height above the surface</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>step</span></div><div class='xr-var-dims'>(step)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>01:00:00</div><input id='attrs-4b4c30c6-8452-48e5-8920-5ae0e66c41e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b4c30c6-8452-48e5-8920-5ae0e66c41e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df612d4c-1d2f-4f30-9688-4777b91476fc' class='xr-var-data-in' type='checkbox'><label for='data-df612d4c-1d2f-4f30-9688-4777b91476fc' 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 since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array([3600000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-04</div><input id='attrs-306338c7-419d-405b-a1eb-f0f110dd3bff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-306338c7-419d-405b-a1eb-f0f110dd3bff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40b68908-2f3d-49f8-a24e-6d9a7bd36f00' class='xr-var-data-in' type='checkbox'><label for='data-40b68908-2f3d-49f8-a24e-6d9a7bd36f00' 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>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-04T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-04T01:00:00 ... 2022-08-...</div><input id='attrs-1d4a3098-fd61-4ae3-a30e-633de37c81b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d4a3098-fd61-4ae3-a30e-633de37c81b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0422767-8500-401f-bb28-485e5ee2fa8d' class='xr-var-data-in' type='checkbox'><label for='data-b0422767-8500-401f-bb28-485e5ee2fa8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-04T01:00:00.000000000&#x27;, &#x27;2022-08-04T02:00:00.000000000&#x27;,\n",
" &#x27;2022-08-04T03:00:00.000000000&#x27;, &#x27;2022-08-04T04:00:00.000000000&#x27;,\n",
" &#x27;2022-08-04T05:00:00.000000000&#x27;, &#x27;2022-08-04T06:00:00.000000000&#x27;,\n",
" &#x27;2022-08-04T07:00:00.000000000&#x27;, &#x27;2022-08-04T08:00:00.000000000&#x27;,\n",
" &#x27;2022-08-04T09:00:00.000000000&#x27;, &#x27;2022-08-04T10:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71d6f8c3-caed-46fd-bd01-bb29c5006a28' class='xr-section-summary-in' type='checkbox' checked><label for='section-71d6f8c3-caed-46fd-bd01-bb29c5006a28' class='xr-section-summary' >Data variables: <span>(11)</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>10si</span></div><div class='xr-var-dims'>(valid_time, x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1059, 1799), meta=np.ndarray&gt;</div><input id='attrs-8769e079-a705-41f8-b066-3d866f24d921' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8769e079-a705-41f8-b066-3d866f24d921' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a2218dd-0790-464d-9c0f-f852be693579' class='xr-var-data-in' type='checkbox'><label for='data-9a2218dd-0790-464d-9c0f-f852be693579' 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>NV :</span></dt><dd>0</dd><dt><span>cfName :</span></dt><dd>unknown</dd><dt><span>cfVarName :</span></dt><dd>si10</dd><dt><span>dataDate :</span></dt><dd>20220804</dd><dt><span>dataTime :</span></dt><dd>0</dd><dt><span>dataType :</span></dt><dd>fc</dd><dt><span>endStep :</span></dt><dd>1</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>gridType :</span></dt><dd>lambert</dd><dt><span>missingValue :</span></dt><dd>9999</dd><dt><span>name :</span></dt><dd>10 metre wind speed</dd><dt><span>numberOfPoints :</span></dt><dd>1905141</dd><dt><span>paramId :</span></dt><dd>207</dd><dt><span>shortName :</span></dt><dd>10si</dd><dt><span>stepType :</span></dt><dd>max</dd><dt><span>stepUnits :</span></dt><dd>1</dd><dt><span>typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
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" <th> Bytes </th>\n",
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" <td> (10, 1059, 1799) </td>\n",
" <td> (1, 1059, 1799) </td>\n",
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" <th> Count </th>\n",
" <td> 11 Tasks </td>\n",
" <td> 10 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float64 </td>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10u</span></div><div class='xr-var-dims'>(valid_time, x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1059, 1799), meta=np.ndarray&gt;</div><input id='attrs-0b3ca878-1af8-485f-9da5-7b11feee69c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b3ca878-1af8-485f-9da5-7b11feee69c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39b5b8eb-98e8-46b2-b8ca-ad58bd559114' class='xr-var-data-in' type='checkbox'><label for='data-39b5b8eb-98e8-46b2-b8ca-ad58bd559114' 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>NV :</span></dt><dd>0</dd><dt><span>cfName :</span></dt><dd>eastward_wind</dd><dt><span>cfVarName :</span></dt><dd>u10</dd><dt><span>dataDate :</span></dt><dd>20220804</dd><dt><span>dataTime :</span></dt><dd>0</dd><dt><span>dataType :</span></dt><dd>fc</dd><dt><span>endStep :</span></dt><dd>1</dd><dt><span>gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>gridType :</span></dt><dd>lambert</dd><dt><span>missingValue :</span></dt><dd>9999</dd><dt><span>name :</span></dt><dd>10 metre U wind component</dd><dt><span>numberOfPoints :</span></dt><dd>1905141</dd><dt><span>paramId :</span></dt><dd>165</dd><dt><span>shortName :</span></dt><dd>10u</dd><dt><span>stepType :</span></dt><dd>instant</dd><dt><span>stepUnits :</span></dt><dd>1</dd><dt><span>typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
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"text/plain": [
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},
"execution_count": 13,
"metadata": {},
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}
],
"source": [
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},
{
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"execution_count": 14,
"id": "41b71e9a-7da5-4dc1-ab36-d6813e793696",
"metadata": {},
"outputs": [
{
"data": {
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},
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{
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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ds['2t'][-1].plot()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "0a850b6a-54ec-4895-a445-944a848bc923",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7ffa4dea16a0>]"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ds['2t'][:,500,500].plot()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "users-pangeo",
"language": "python",
"name": "conda-env-users-pangeo-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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