docs/source/notebooks/esgf-dap.ipynb

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    "# Earth System Grid Federation Data Access\n",
    "\n",
    "The Earth System Grid Federation (ESGF) has a search API that can be used by clients to query catalog content matching constraints (see [API documentation](https://github.com/ESGF/esgf.github.io/wiki/ESGF_Search_REST_API)). It's possible to send requests directly to the API using a simple function (see [example](https://esgf2.github.io/cmip6-cookbook/notebooks/foundations/esgf-opendap.html)), but here we'll use a python client named `pyesgf` to interact with the search API and get data from the ESGF THREDDS servers. The following shows examples of typical queries for data. \n",
    "\n",
    "If a login username and credentials are required, follow these [instructions](https://esgf-pyclient.readthedocs.io/en/latest/notebooks/examples/logon.html)."
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     "text": [
      "Number of results:  10731\n",
      "Variables related to humidity: \n"
     ]
    },
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     "data": {
      "text/plain": [
       "{'tnhusscpbl': 163,\n",
       " 'tnhusscp': 70,\n",
       " 'tnhuspbl': 70,\n",
       " 'tnhusmp': 172,\n",
       " 'tnhusd': 34,\n",
       " 'tnhusc': 224,\n",
       " 'tnhusa': 180,\n",
       " 'tnhus': 76,\n",
       " 'hussLut': 36,\n",
       " 'huss': 2014,\n",
       " 'hus850': 190,\n",
       " 'hus': 2441,\n",
       " 'hursmin': 699,\n",
       " 'hursmax': 682,\n",
       " 'hurs': 2007,\n",
       " 'hur': 1673}"
      ]
     },
     "execution_count": 1,
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   "source": [
    "# NBVAL_IGNORE_OUTPUT\n",
    "\n",
    "from pyesgf.search import SearchConnection\n",
    "\n",
    "# Create a connection for search on ESGF nodes. Note that setting `distrib=True` can lead to weird failures.\n",
    "conn = SearchConnection(\"https://esgf-node.llnl.gov/esg-search/\", distrib=False)\n",
    "\n",
    "# Launch a search query.\n",
    "# Here we're looking for any variable related to humidity within the CMIP6 SSP2-4.5 experiment.\n",
    "# Results will be stored in a dictionary with keys defined by the `facets` argument.\n",
    "ctx = conn.new_context(\n",
    "    project=\"CMIP6\",\n",
    "    experiment_id=\"ssp245\",\n",
    "    query=\"humidity\",\n",
    "    facets=\"variable_id,source_id\",\n",
    ")\n",
    "\n",
    "print(\"Number of results: \", ctx.hit_count)\n",
    "print(\"Variables related to humidity: \")\n",
    "ctx.facet_counts[\"variable_id\"]"
   ]
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       "{'UKESM1-0-LL': 126,\n",
       " 'TaiESM1': 20,\n",
       " 'NorESM2-MM': 36,\n",
       " 'NorESM2-LM': 188,\n",
       " 'NESM3': 21,\n",
       " 'MRI-ESM2-0': 663,\n",
       " 'MPI-ESM1-2-LR': 999,\n",
       " 'MPI-ESM1-2-HR': 51,\n",
       " 'MIROC6': 1989,\n",
       " 'MIROC-ES2L': 1861,\n",
       " 'MIROC-ES2H': 84,\n",
       " 'MCM-UA-1-0': 8,\n",
       " 'KIOST-ESM': 30,\n",
       " 'KACE-1-0-G': 68,\n",
       " 'IPSL-CM6A-LR': 236,\n",
       " 'INM-CM5-0': 26,\n",
       " 'INM-CM4-8': 26,\n",
       " 'IITM-ESM': 17,\n",
       " 'HadGEM3-GC31-LL': 110,\n",
       " 'GISS-E2-2-G': 40,\n",
       " 'GISS-E2-1-H': 84,\n",
       " 'GISS-E2-1-G-CC': 8,\n",
       " 'GISS-E2-1-G': 409,\n",
       " 'GFDL-ESM4': 20,\n",
       " 'GFDL-CM4': 34,\n",
       " 'FIO-ESM-2-0': 16,\n",
       " 'FGOALS-g3': 88,\n",
       " 'FGOALS-f3-L': 12,\n",
       " 'EC-Earth3-Veg-LR': 37,\n",
       " 'EC-Earth3-Veg': 100,\n",
       " 'EC-Earth3-CC': 64,\n",
       " 'EC-Earth3-AerChem': 2,\n",
       " 'EC-Earth3': 817,\n",
       " 'E3SM-1-1': 22,\n",
       " 'CanESM5-CanOE': 24,\n",
       " 'CanESM5-1': 208,\n",
       " 'CanESM5': 1033,\n",
       " 'CNRM-ESM2-1': 108,\n",
       " 'CNRM-CM6-1-HR': 19,\n",
       " 'CNRM-CM6-1': 78,\n",
       " 'CMCC-ESM2': 20,\n",
       " 'CMCC-CM2-SR5': 18,\n",
       " 'CIESM': 9,\n",
       " 'CESM2-WACCM': 168,\n",
       " 'CESM2': 184,\n",
       " 'CAS-ESM2-0': 20,\n",
       " 'CAMS-CSM1-0': 6,\n",
       " 'BCC-CSM2-MR': 20,\n",
       " 'AWI-CM-1-1-MR': 19,\n",
       " 'ACCESS-ESM1-5': 408,\n",
       " 'ACCESS-CM2': 77}"
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    "# NBVAL_IGNORE_OUTPUT\n",
    "\n",
    "# Now let's look for simulations that have the `hurs` variable and pick the first member.\n",
    "ctx.constrain(variable_id=\"hurs\", ensemble=\"r1i1p1f1\")\n",
    "ctx.facet_counts[\"source_id\"]"
   ]
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      "text/plain": [
       "'CMIP6.ScenarioMIP.CCCma.CanESM5.ssp245.r14i1p2f1.Amon.hus.gn.v20190429|crd-esgf-drc.ec.gc.ca'"
      ]
     },
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   "source": [
    "# We can now refine the search and get datasets corresponding within our search context\n",
    "results = ctx.constrain(source_id=\"CanESM5\").search()\n",
    "r = results[0]\n",
    "r.dataset_id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['http://crd-esgf-drc.ec.gc.ca/thredds/fileServer/esgD_dataroot/AR6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp245/r14i1p2f1/Amon/hus/gn/v20190429/hus_Amon_CanESM5_ssp245_r14i1p2f1_gn_201501-210012.nc']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To get file download links, there's an extra step\n",
    "file_ctx = r.file_context()\n",
    "file_ctx.facets = \"*\"\n",
    "files = file_ctx.search()\n",
    "[f.download_url for f in files]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "['http://crd-esgf-drc.ec.gc.ca/thredds/dodsC/esgD_dataroot/AR6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp245/r14i1p2f1/Amon/hus/gn/v20190429/hus_Amon_CanESM5_ssp245_r14i1p2f1_gn_201501-210012.nc']\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# Instead of a download URL, we can also get OPeNDAP links.\n",
    "urls = [f.opendap_url for f in files]\n",
    "print(urls)\n",
    "\n",
    "# It's sometimes possible to request aggregations of multiple netCDF into one OPeNDAP link,\n",
    "# but this option is often unavailable.\n",
    "agg_ctx = r.aggregation_context()\n",
    "agg_ctx.facets = \"*\"\n",
    "agg = agg_ctx.search()[0]\n",
    "print(agg.opendap_url)"
   ]
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   "execution_count": 6,
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       "  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.Dataset&gt;\n",
       "Dimensions:    (time: 1032, bnds: 2, plev: 19, lat: 64, lon: 128)\n",
       "Coordinates:\n",
       "  * time       (time) object 2015-01-16 12:00:00 ... 2100-12-16 12:00:00\n",
       "  * plev       (plev) float64 1e+05 9.25e+04 8.5e+04 7e+04 ... 1e+03 500.0 100.0\n",
       "  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object dask.array&lt;chunksize=(1032, 2), meta=np.ndarray&gt;\n",
       "    lat_bnds   (lat, bnds) float64 dask.array&lt;chunksize=(64, 2), meta=np.ndarray&gt;\n",
       "    lon_bnds   (lon, bnds) float64 dask.array&lt;chunksize=(128, 2), meta=np.ndarray&gt;\n",
       "    hus        (time, plev, lat, lon) float32 dask.array&lt;chunksize=(1032, 19, 64, 128), meta=np.ndarray&gt;\n",
       "Attributes: (12/54)\n",
       "    CCCma_model_hash:                fc4bb7db954c862d023b546e19aec6c588bc0552\n",
       "    CCCma_parent_runid:              p2-his14\n",
       "    CCCma_pycmor_hash:               26c970628162d607fffd14254956ebc6dd3b6f49\n",
       "    CCCma_runid:                     p2-s4514\n",
       "    Conventions:                     CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:       2015:01:01:00\n",
       "    ...                              ...\n",
       "    variable_id:                     hus\n",
       "    variant_label:                   r14i1p2f1\n",
       "    version:                         v20190429\n",
       "    license:                         CMIP6 model data produced by The Governm...\n",
       "    cmor_version:                    3.5.0\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-45229c6f-42a7-4a99-8fdc-b32caa933dc4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-45229c6f-42a7-4a99-8fdc-b32caa933dc4' 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>: 1032</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>plev</span>: 19</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1f7d5f35-a990-42e3-8fdd-242001b550ab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1f7d5f35-a990-42e3-8fdd-242001b550ab' 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'>2015-01-16 12:00:00 ... 2100-12-...</div><input id='attrs-69cfb77e-9389-453f-91b1-1554e7bb9db5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69cfb77e-9389-453f-91b1-1554e7bb9db5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7bc15ae-c723-497f-8581-7aa209084920' class='xr-var-data-in' type='checkbox'><label for='data-d7bc15ae-c723-497f-8581-7aa209084920' 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.DatetimeNoLeap(2015, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2015, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2015, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeNoLeap(2100, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2100, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2100, 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'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-95a49f60-9a20-4261-af86-e7a893848d5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95a49f60-9a20-4261-af86-e7a893848d5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76c48891-c4cc-4886-bb4f-aeec177b30c6' class='xr-var-data-in' type='checkbox'><label for='data-76c48891-c4cc-4886-bb4f-aeec177b30c6' 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>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
       "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
       "         1000.,    500.,    100.])</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'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-642fe678-dfde-4b46-8ab7-6c8ea88afde1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-642fe678-dfde-4b46-8ab7-6c8ea88afde1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-519d0e48-c199-4926-9521-b40872132329' class='xr-var-data-in' type='checkbox'><label for='data-519d0e48-c199-4926-9521-b40872132329' 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([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
       "       -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632,\n",
       "       -54.4162  , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648,\n",
       "       -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174,\n",
       "       -20.929574, -18.138971, -15.348365, -12.557756,  -9.767146,  -6.976534,\n",
       "        -4.185921,  -1.395307,   1.395307,   4.185921,   6.976534,   9.767146,\n",
       "        12.557756,  15.348365,  18.138971,  20.929574,  23.720174,  26.510769,\n",
       "        29.30136 ,  32.091944,  34.882521,  37.67309 ,  40.463648,  43.254195,\n",
       "        46.044727,  48.835241,  51.625734,  54.4162  ,  57.206632,  59.99702 ,\n",
       "        62.787352,  65.577607,  68.367756,  71.157752,  73.947515,  76.7369  ,\n",
       "        79.525607,  82.312913,  85.096527,  87.863799])</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 2.812 5.625 ... 354.4 357.2</div><input id='attrs-8875abc7-79ad-41d1-b5b3-b02ce3a07dc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8875abc7-79ad-41d1-b5b3-b02ce3a07dc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efe3b099-db92-4ae7-836d-f19752446d34' class='xr-var-data-in' type='checkbox'><label for='data-efe3b099-db92-4ae7-836d-f19752446d34' 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.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
       "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
       "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
       "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
       "        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,\n",
       "        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,\n",
       "       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,\n",
       "       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,\n",
       "       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,\n",
       "       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,\n",
       "       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,\n",
       "       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,\n",
       "       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,\n",
       "       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,\n",
       "       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,\n",
       "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
       "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
       "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
       "       354.375 , 357.1875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-13623585-b29e-44bc-a771-8ef7cb8e8b25' class='xr-section-summary-in' type='checkbox'  checked><label for='section-13623585-b29e-44bc-a771-8ef7cb8e8b25' 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'>dask.array&lt;chunksize=(1032, 2), meta=np.ndarray&gt;</div><input id='attrs-6e42ecb1-a5ba-4310-b31d-0349398b3dfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e42ecb1-a5ba-4310-b31d-0349398b3dfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-515ab759-c3a9-4ded-ac9d-5d58739c39e5' class='xr-var-data-in' type='checkbox'><label for='data-515ab759-c3a9-4ded-ac9d-5d58739c39e5' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16.12 kiB </td>\n",
       "                        <td> 16.12 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1032, 2) </td>\n",
       "                        <td> (1032, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> object </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">1032</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></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'>dask.array&lt;chunksize=(64, 2), meta=np.ndarray&gt;</div><input id='attrs-78cea1e9-cf94-4c0a-9024-2bff4a1c0dd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78cea1e9-cf94-4c0a-9024-2bff4a1c0dd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd818faf-9c18-4b4f-858a-203a95bcbec6' class='xr-var-data-in' type='checkbox'><label for='data-bd818faf-9c18-4b4f-858a-203a95bcbec6' 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>[64  2]</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.00 kiB </td>\n",
       "                        <td> 1.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (64, 2) </td>\n",
       "                        <td> (64, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"81\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"31\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"31\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"31\" y1=\"0\" x2=\"31\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 31.635229193102678,0.0 31.635229193102678,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"15.817615\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"51.635229\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,51.635229,60.000000)\">64</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(128, 2), meta=np.ndarray&gt;</div><input id='attrs-7752cd78-13ed-4e93-8604-9432142bcecc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7752cd78-13ed-4e93-8604-9432142bcecc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bd09d76-05ee-48e9-b3b9-dc72c1809225' class='xr-var-data-in' type='checkbox'><label for='data-2bd09d76-05ee-48e9-b3b9-dc72c1809225' 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>[128   2]</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
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       "aerosol: interactive\n",
       "atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa)\n",
       "atmosChem: specified oxidants for aerosols\n",
       "land: CLASS3.6/CTEM1.2\n",
       "landIce: specified ice sheets\n",
       "ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m)\n",
       "ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry\n",
       "seaIce: LIM2</dd><dt><span>source_id :</span></dt><dd>CanESM5</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>Amon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(09 May 2019) MD5:38ea1fbdf3f31659e83c719fb4c48428</dd><dt><span>title :</span></dt><dd>CanESM5 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/b99cff78-c3d9-44b8-8f22-65e519bf820d</dd><dt><span>variable_id :</span></dt><dd>hus</dd><dt><span>variant_label :</span></dt><dd>r14i1p2f1</dd><dt><span>version :</span></dt><dd>v20190429</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by The Government of Canada (Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada) is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. 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>3.5.0</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1032, bnds: 2, plev: 19, lat: 64, lon: 128)\n",
       "Coordinates:\n",
       "  * time       (time) object 2015-01-16 12:00:00 ... 2100-12-16 12:00:00\n",
       "  * plev       (plev) float64 1e+05 9.25e+04 8.5e+04 7e+04 ... 1e+03 500.0 100.0\n",
       "  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object dask.array<chunksize=(1032, 2), meta=np.ndarray>\n",
       "    lat_bnds   (lat, bnds) float64 dask.array<chunksize=(64, 2), meta=np.ndarray>\n",
       "    lon_bnds   (lon, bnds) float64 dask.array<chunksize=(128, 2), meta=np.ndarray>\n",
       "    hus        (time, plev, lat, lon) float32 dask.array<chunksize=(1032, 19, 64, 128), meta=np.ndarray>\n",
       "Attributes: (12/54)\n",
       "    CCCma_model_hash:                fc4bb7db954c862d023b546e19aec6c588bc0552\n",
       "    CCCma_parent_runid:              p2-his14\n",
       "    CCCma_pycmor_hash:               26c970628162d607fffd14254956ebc6dd3b6f49\n",
       "    CCCma_runid:                     p2-s4514\n",
       "    Conventions:                     CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:       2015:01:01:00\n",
       "    ...                              ...\n",
       "    variable_id:                     hus\n",
       "    variant_label:                   r14i1p2f1\n",
       "    version:                         v20190429\n",
       "    license:                         CMIP6 model data produced by The Governm...\n",
       "    cmor_version:                    3.5.0\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Open the opendap link with xarray\n",
    "import xarray as xr\n",
    "\n",
    "try:\n",
    "    ds = xr.open_mfdataset(urls)\n",
    "    display(ds)\n",
    "except OSError as e:\n",
    "    print(\n",
    "        \"Looks like the remote server is down at the moment. Please try with another dataset stored on a different ESGF node.\\n{e}\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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