1_hycom_generate_intake.ipynb

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   "id": "6a2ae2d4-7cd9-46fb-acc5-a030a3298505",
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   "source": [
    "# Generate Intake catalog for HYCOM virtual dataset "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "59d48df1-290d-4cbd-98e4-6ad40fc1ce7e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import intake"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "184cae72-a688-45d4-aa33-73066ce4432e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2.0.6'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intake.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59dfc6ab-950a-4301-ab16-d5f5c7202bb3",
   "metadata": {},
   "source": [
    "References in Parquet format, stored on ESIP Open Storage Network Bucket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "35203549-36cd-4d6d-abd6-0ff5a8333626",
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_parquet_aws = 's3://esip/rsignell/hycom.parq'    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f6c85e5-b781-48e2-bf8f-86dbf1d5334b",
   "metadata": {},
   "source": [
    "Target options (for accessing the reference files from OSN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b0846cab-0be9-4bbb-bcb3-bc1fde91ebf2",
   "metadata": {},
   "outputs": [],
   "source": [
    "to = dict(anon=True, client_kwargs={'endpoint_url': 'https://ncsa.osn.xsede.org'})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ec87f26-1778-4aa7-a21d-95913d8c58b6",
   "metadata": {},
   "source": [
    "Storage options (for accessing the NetCDF files from AWS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6f373501-5e6b-470e-ac8a-c11f54f77308",
   "metadata": {},
   "outputs": [],
   "source": [
    "so = dict(anon=True)"
   ]
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   "cell_type": "code",
   "execution_count": 6,
   "id": "e92a92e8-390f-443c-9a1d-717c02e837da",
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   "outputs": [],
   "source": [
    "ds = xr.open_dataset(combined_parquet_aws, engine='kerchunk', chunks={},\n",
    "                    backend_kwargs=dict(storage_options=dict(target_options=to,\n",
    "                    remote_protocol='s3', lazy=True, remote_options=so)))"
   ]
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  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "78d7005e-9428-46e3-a3bf-6ffd22030beb",
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   "outputs": [],
   "source": [
    "source = intake.reader_from_call(_i6, join_lines=True)"
   ]
  },
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   "execution_count": 8,
   "id": "dd30707a-42ff-4485-9588-9fa05a8e5cb5",
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   "source": [
    "cat = intake.Catalog()\n",
    "\n",
    "cat.metadata[\"description\"] = \"HYCOM datasets\"\n",
    "\n",
    "# HYCOM GOM-3pt1 dataset:\n",
    "cat['gofs-3pt1'] = source\n",
    "description = '''\n",
    "HYCOM Global Ocean Forecasting System (GOFS) 3.1 output on the GLBv0.08 grid. \n",
    "The resolution is 0.08° resolution between 40°S and 40°N, 0.04° poleward of these latitudes. \n",
    "The temporal frequency is 3-hourly. \n",
    "This data was created by the Naval Research Laboratory: Ocean Dynamics and Prediction Branch.\n",
    "This is a static dataset covering 1994-01-01 to 2015-12-31.\n",
    "'''\n",
    "cat.get_entity('gofs-3pt1').metadata = {'description':description}\n",
    "\n",
    "cat_name = 'hycom.yaml'\n",
    "cat.to_yaml_file(cat_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "db35f5f7-5c3f-4aa6-8cf8-641440ecc356",
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   "outputs": [],
   "source": [
    "cat = intake.open_catalog(cat_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "be9873d5-db3d-4dfd-9c5a-56585b051f0b",
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   "outputs": [
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      "text/plain": [
       "Catalog\n",
       " named datasets: []\n",
       "  parameters: ['CATALOG_DIR', 'CATALOG_PATH', 'STORAGE_OPTIONS']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "cat"
   ]
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   "cell_type": "code",
   "execution_count": 11,
   "id": "aff65863-2cfd-4810-a247-76829ae21611",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['gofs-3pt1']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "list(cat.entries.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a3fdf3f5-502a-4031-9b44-e16e41d31d1a",
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   "outputs": [
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     "text": [
      "\n",
      "HYCOM Global Ocean Forecasting System (GOFS) 3.1 output on the GLBv0.08 grid. \n",
      "The resolution is 0.08° resolution between 40°S and 40°N, 0.04° poleward of these latitudes. \n",
      "The temporal frequency is 3-hourly. \n",
      "This data was created by the Naval Research Laboratory: Ocean Dynamics and Prediction Branch.\n",
      "This is a static dataset covering 1994-01-01 to 2015-12-31.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(cat['gofs-3pt1'].metadata['description'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "694d44ff-85ba-4348-a292-c3bd00342195",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = cat['gofs-3pt1'].read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "70e56360-5541-4e96-acdd-aef74ebda586",
   "metadata": {},
   "outputs": [
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       "Data variables:\n",
       "    salinity           (time, depth, lat, lon) float64 297TB dask.array&lt;chunksize=(1, 1, 3251, 4500), meta=np.ndarray&gt;\n",
       "    salinity_bottom    (time, lat, lon) float64 7TB dask.array&lt;chunksize=(1, 3251, 4500), meta=np.ndarray&gt;\n",
       "    surf_el            (time, lat, lon) float64 7TB dask.array&lt;chunksize=(1, 3251, 4500), meta=np.ndarray&gt;\n",
       "    water_temp         (time, depth, lat, lon) float64 297TB dask.array&lt;chunksize=(1, 1, 3251, 4500), meta=np.ndarray&gt;\n",
       "    water_temp_bottom  (time, lat, lon) float64 7TB dask.array&lt;chunksize=(1, 3251, 4500), meta=np.ndarray&gt;\n",
       "    water_u            (time, depth, lat, lon) float64 297TB dask.array&lt;chunksize=(1, 1, 3251, 4500), meta=np.ndarray&gt;\n",
       "    water_u_bottom     (time, lat, lon) float64 7TB dask.array&lt;chunksize=(1, 3251, 4500), meta=np.ndarray&gt;\n",
       "    water_v            (time, depth, lat, lon) float64 297TB dask.array&lt;chunksize=(1, 1, 3251, 4500), meta=np.ndarray&gt;\n",
       "    water_v_bottom     (time, lat, lon) float64 7TB dask.array&lt;chunksize=(1, 3251, 4500), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    Conventions:               CF-1.6 NAVO_netcdf_v1.1\n",
       "    classification_authority:  not applicable\n",
       "    classification_level:      UNCLASSIFIED\n",
       "    distribution_statement:    Approved for public release. Distribution unli...\n",
       "    downgrade_date:            not applicable\n",
       "    field_type:                instantaneous\n",
       "    history:                   archv2ncdf3z\n",
       "    institution:               Naval Oceanographic Office\n",
       "    source:                    HYCOM archive file</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-8052b948-b9f4-4b86-bbf4-00e991a29830' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8052b948-b9f4-4b86-bbf4-00e991a29830' 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'>depth</span>: 40</li><li><span class='xr-has-index'>lat</span>: 3251</li><li><span class='xr-has-index'>lon</span>: 4500</li><li><span class='xr-has-index'>time</span>: 63341</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4e0d5d53-02ea-4aae-8df3-c7100c0aab2c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4e0d5d53-02ea-4aae-8df3-c7100c0aab2c' 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'>depth</span></div><div class='xr-var-dims'>(depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 3e+03 4e+03 5e+03</div><input id='attrs-9e067af7-a28f-42f9-b152-c1ece956f079' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e067af7-a28f-42f9-b152-c1ece956f079' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e08d97be-7443-4ea7-a4f4-03a943964a19' class='xr-var-data-in' type='checkbox'><label for='data-e08d97be-7443-4ea7-a4f4-03a943964a19' 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>NAVO_code :</span></dt><dd>5</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>Depth</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0.00e+00, 2.00e+00, 4.00e+00, 6.00e+00, 8.00e+00, 1.00e+01, 1.20e+01,\n",
       "       1.50e+01, 2.00e+01, 2.50e+01, 3.00e+01, 3.50e+01, 4.00e+01, 4.50e+01,\n",
       "       5.00e+01, 6.00e+01, 7.00e+01, 8.00e+01, 9.00e+01, 1.00e+02, 1.25e+02,\n",
       "       1.50e+02, 2.00e+02, 2.50e+02, 3.00e+02, 3.50e+02, 4.00e+02, 5.00e+02,\n",
       "       6.00e+02, 7.00e+02, 8.00e+02, 9.00e+02, 1.00e+03, 1.25e+03, 1.50e+03,\n",
       "       2.00e+03, 2.50e+03, 3.00e+03, 4.00e+03, 5.00e+03])</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'>-80.0 -79.96 -79.92 ... 89.96 90.0</div><input id='attrs-16824abf-c7bc-478a-8a39-bca6ea805b2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16824abf-c7bc-478a-8a39-bca6ea805b2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1a457dd-4f1f-407c-8721-91147bc54019' class='xr-var-data-in' type='checkbox'><label for='data-b1a457dd-4f1f-407c-8721-91147bc54019' 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>NAVO_code :</span></dt><dd>1</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><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-80.      , -79.959999, -79.919998, ...,  89.919998,  89.959999,\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'>-180.0 -179.9 ... 179.8 179.9</div><input id='attrs-b53977c0-7776-461c-a87b-e4b416fc5dd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b53977c0-7776-461c-a87b-e4b416fc5dd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b2b7f17-1209-4af0-9949-0e38b504caf6' class='xr-var-data-in' type='checkbox'><label for='data-8b2b7f17-1209-4af0-9949-0e38b504caf6' 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>NAVO_code :</span></dt><dd>2</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>modulo :</span></dt><dd>360 degrees</dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-180.      , -179.919983, -179.839966, ...,  179.76001 ,  179.839966,\n",
       "        179.920044])</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'>1994-01-01T12:00:00 ... 2015-12-...</div><input id='attrs-5d0e9b30-00df-46fd-870d-925d206649b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d0e9b30-00df-46fd-870d-925d206649b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be83999f-e162-4a94-a8f3-f788b4a49e44' class='xr-var-data-in' type='checkbox'><label for='data-be83999f-e162-4a94-a8f3-f788b4a49e44' 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>NAVO_code :</span></dt><dd>13</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Valid Time</dd><dt><span>time_origin :</span></dt><dd>2000-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1994-01-01T12:00:00.000000000&#x27;, &#x27;1994-01-01T15:00:00.000000000&#x27;,\n",
       "       &#x27;1994-01-01T18:00:00.000000000&#x27;, ..., &#x27;2015-12-31T03:00:00.000000000&#x27;,\n",
       "       &#x27;2015-12-31T06:00:00.000000000&#x27;, &#x27;2015-12-31T09:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f07f1a34-9ad4-43f0-8d66-66b14420c859' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f07f1a34-9ad4-43f0-8d66-66b14420c859' class='xr-section-summary' >Data variables: <span>(9)</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>salinity</span></div><div class='xr-var-dims'>(time, depth, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 3251, 4500), meta=np.ndarray&gt;</div><input id='attrs-5469fa84-e5fd-4cc1-9f11-34713930cc44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5469fa84-e5fd-4cc1-9f11-34713930cc44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba903b6e-07a1-4cab-bc90-58e9fb279fc8' class='xr-var-data-in' type='checkbox'><label for='data-ba903b6e-07a1-4cab-bc90-58e9fb279fc8' 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>NAVO_code :</span></dt><dd>16</dd><dt><span>long_name :</span></dt><dd>Salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>psu</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\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> 269.69 TiB </td>\n",
       "                        <td> 111.61 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (63341, 40, 3251, 4500) </td>\n",
       "                        <td> (1, 1, 3251, 4500) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2533640 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_temp</span></div><div class='xr-var-dims'>(time, depth, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 3251, 4500), meta=np.ndarray&gt;</div><input id='attrs-406909c3-e40a-4064-94a8-d0289ba3335f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-406909c3-e40a-4064-94a8-d0289ba3335f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-564d5c39-5cd6-44aa-90d4-88a37fd1919d' class='xr-var-data-in' type='checkbox'><label for='data-564d5c39-5cd6-44aa-90d4-88a37fd1919d' 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>NAVO_code :</span></dt><dd>15</dd><dt><span>comment :</span></dt><dd>in-situ temperature</dd><dt><span>long_name :</span></dt><dd>Water Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>degC</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_temp_bottom</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3251, 4500), meta=np.ndarray&gt;</div><input id='attrs-f6fdb7b4-cb0d-4dbb-b148-85b978b09d67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6fdb7b4-cb0d-4dbb-b148-85b978b09d67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-268d6b1c-8c79-4580-a880-767fe5e5e81d' class='xr-var-data-in' type='checkbox'><label for='data-268d6b1c-8c79-4580-a880-767fe5e5e81d' 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>NAVO_code :</span></dt><dd>15</dd><dt><span>comment :</span></dt><dd>in-situ temperature</dd><dt><span>long_name :</span></dt><dd>Water Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature_at_bottom</dd><dt><span>units :</span></dt><dd>degC</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 6.74 TiB </td>\n",
       "                        <td> 111.61 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_u</span></div><div class='xr-var-dims'>(time, depth, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 3251, 4500), meta=np.ndarray&gt;</div><input id='attrs-039ac421-18a0-4a65-949a-44bc571802b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-039ac421-18a0-4a65-949a-44bc571802b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48f90266-3056-42d8-88fe-c373d06bc2ac' class='xr-var-data-in' type='checkbox'><label for='data-48f90266-3056-42d8-88fe-c373d06bc2ac' 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>NAVO_code :</span></dt><dd>17</dd><dt><span>long_name :</span></dt><dd>Eastward Water Velocity</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 269.69 TiB </td>\n",
       "                        <td> 111.61 MiB </td>\n",
       "                    </tr>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_u_bottom</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3251, 4500), meta=np.ndarray&gt;</div><input id='attrs-d7f9d7e0-7245-41c5-bcc3-14c285e42061' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7f9d7e0-7245-41c5-bcc3-14c285e42061' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40e83a9d-f503-4589-8f31-7a92bb5db689' class='xr-var-data-in' type='checkbox'><label for='data-40e83a9d-f503-4589-8f31-7a92bb5db689' 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>NAVO_code :</span></dt><dd>17</dd><dt><span>long_name :</span></dt><dd>Eastward Water Velocity</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity_at_bottom</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 6.74 TiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_v</span></div><div class='xr-var-dims'>(time, depth, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 3251, 4500), meta=np.ndarray&gt;</div><input id='attrs-b346492b-0308-4336-b577-4ab05dd4f2e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b346492b-0308-4336-b577-4ab05dd4f2e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8ea81b2-148d-4658-96d2-a52f70268159' class='xr-var-data-in' type='checkbox'><label for='data-c8ea81b2-148d-4658-96d2-a52f70268159' 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>NAVO_code :</span></dt><dd>18</dd><dt><span>long_name :</span></dt><dd>Northward Water Velocity</dd><dt><span>standard_name :</span></dt><dd>northward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 269.69 TiB </td>\n",
       "                        <td> 111.61 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_v_bottom</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3251, 4500), meta=np.ndarray&gt;</div><input id='attrs-bcc8fde4-ea29-465c-8e01-83037073b72d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcc8fde4-ea29-465c-8e01-83037073b72d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c2d0ca5-9ba8-43d8-bda2-526100e13deb' class='xr-var-data-in' type='checkbox'><label for='data-8c2d0ca5-9ba8-43d8-bda2-526100e13deb' 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>NAVO_code :</span></dt><dd>18</dd><dt><span>long_name :</span></dt><dd>Northward Water Velocity</dd><dt><span>standard_name :</span></dt><dd>northward_sea_water_velocity_at_bottom</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "  <text x=\"35.294118\" y=\"89.955262\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,89.955262)\">63341</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-6cbfd74f-31bc-4e8e-85ec-9f309f290b64' class='xr-section-summary-in' type='checkbox'  ><label for='section-6cbfd74f-31bc-4e8e-85ec-9f309f290b64' class='xr-section-summary' >Indexes: <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-index-name'><div>depth</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-31054de0-2285-4cb0-b541-ead9a23d7b41' class='xr-index-data-in' type='checkbox'/><label for='index-31054de0-2285-4cb0-b541-ead9a23d7b41' 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,    2.0,    4.0,    6.0,    8.0,   10.0,   12.0,   15.0,   20.0,\n",
       "         25.0,   30.0,   35.0,   40.0,   45.0,   50.0,   60.0,   70.0,   80.0,\n",
       "         90.0,  100.0,  125.0,  150.0,  200.0,  250.0,  300.0,  350.0,  400.0,\n",
       "        500.0,  600.0,  700.0,  800.0,  900.0, 1000.0, 1250.0, 1500.0, 2000.0,\n",
       "       2500.0, 3000.0, 4000.0, 5000.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;depth&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1a406ffc-6261-4b5c-8ebd-11456e6adcf4' class='xr-index-data-in' type='checkbox'/><label for='index-1a406ffc-6261-4b5c-8ebd-11456e6adcf4' 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([             -80.0, -79.95999908447266, -79.91999816894531,\n",
       "       -79.87999725341797, -79.83999633789062, -79.80000305175781,\n",
       "       -79.76000213623047, -79.72000122070312, -79.68000030517578,\n",
       "       -79.63999938964844,\n",
       "       ...\n",
       "        89.63999938964844,  89.68000030517578,  89.72000122070312,\n",
       "        89.76000213623047,  89.80000305175781,  89.83999633789062,\n",
       "        89.87999725341797,  89.91999816894531,  89.95999908447266,\n",
       "                     90.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=3251))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-09978c93-3d32-4372-804b-ed635511d895' class='xr-index-data-in' type='checkbox'/><label for='index-09978c93-3d32-4372-804b-ed635511d895' 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([             -180.0, -179.91998291015625,  -179.8399658203125,\n",
       "         -179.760009765625, -179.67999267578125,  -179.5999755859375,\n",
       "          -179.52001953125, -179.44000244140625,  -179.3599853515625,\n",
       "         -179.280029296875,\n",
       "       ...\n",
       "          179.199951171875,    179.280029296875,   179.3599853515625,\n",
       "           179.43994140625,     179.52001953125,   179.5999755859375,\n",
       "          179.679931640625,    179.760009765625,   179.8399658203125,\n",
       "         179.9200439453125],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=4500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-790a49ac-8827-440c-9566-fd7f598c7abc' class='xr-index-data-in' type='checkbox'/><label for='index-790a49ac-8827-440c-9566-fd7f598c7abc' 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(DatetimeIndex([&#x27;1994-01-01 12:00:00&#x27;, &#x27;1994-01-01 15:00:00&#x27;,\n",
       "               &#x27;1994-01-01 18:00:00&#x27;, &#x27;1994-01-01 21:00:00&#x27;,\n",
       "               &#x27;1994-01-02 00:00:00&#x27;, &#x27;1994-01-02 03:00:00&#x27;,\n",
       "               &#x27;1994-01-02 06:00:00&#x27;, &#x27;1994-01-02 09:00:00&#x27;,\n",
       "               &#x27;1994-01-02 12:00:00&#x27;, &#x27;1994-01-02 15:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2015-12-30 06:00:00&#x27;, &#x27;2015-12-30 09:00:00&#x27;,\n",
       "               &#x27;2015-12-30 12:00:00&#x27;, &#x27;2015-12-30 15:00:00&#x27;,\n",
       "               &#x27;2015-12-30 18:00:00&#x27;, &#x27;2015-12-30 21:00:00&#x27;,\n",
       "               &#x27;2015-12-31 00:00:00&#x27;, &#x27;2015-12-31 03:00:00&#x27;,\n",
       "               &#x27;2015-12-31 06:00:00&#x27;, &#x27;2015-12-31 09:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=63341, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4e3f648b-e05f-419c-bc57-0dfdf9016ab0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4e3f648b-e05f-419c-bc57-0dfdf9016ab0' class='xr-section-summary' >Attributes: <span>(9)</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-1.6 NAVO_netcdf_v1.1</dd><dt><span>classification_authority :</span></dt><dd>not applicable</dd><dt><span>classification_level :</span></dt><dd>UNCLASSIFIED</dd><dt><span>distribution_statement :</span></dt><dd>Approved for public release. Distribution unlimited.</dd><dt><span>downgrade_date :</span></dt><dd>not applicable</dd><dt><span>field_type :</span></dt><dd>instantaneous</dd><dt><span>history :</span></dt><dd>archv2ncdf3z</dd><dt><span>institution :</span></dt><dd>Naval Oceanographic Office</dd><dt><span>source :</span></dt><dd>HYCOM archive file</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 1PB\n",
       "Dimensions:            (depth: 40, lat: 3251, lon: 4500, time: 63341)\n",
       "Coordinates:\n",
       "  * depth              (depth) float64 320B 0.0 2.0 4.0 ... 3e+03 4e+03 5e+03\n",
       "  * lat                (lat) float64 26kB -80.0 -79.96 -79.92 ... 89.96 90.0\n",
       "  * lon                (lon) float64 36kB -180.0 -179.9 -179.8 ... 179.8 179.9\n",
       "  * time               (time) datetime64[ns] 507kB 1994-01-01T12:00:00 ... 20...\n",
       "Data variables:\n",
       "    salinity           (time, depth, lat, lon) float64 297TB dask.array<chunksize=(1, 1, 3251, 4500), meta=np.ndarray>\n",
       "    salinity_bottom    (time, lat, lon) float64 7TB dask.array<chunksize=(1, 3251, 4500), meta=np.ndarray>\n",
       "    surf_el            (time, lat, lon) float64 7TB dask.array<chunksize=(1, 3251, 4500), meta=np.ndarray>\n",
       "    water_temp         (time, depth, lat, lon) float64 297TB dask.array<chunksize=(1, 1, 3251, 4500), meta=np.ndarray>\n",
       "    water_temp_bottom  (time, lat, lon) float64 7TB dask.array<chunksize=(1, 3251, 4500), meta=np.ndarray>\n",
       "    water_u            (time, depth, lat, lon) float64 297TB dask.array<chunksize=(1, 1, 3251, 4500), meta=np.ndarray>\n",
       "    water_u_bottom     (time, lat, lon) float64 7TB dask.array<chunksize=(1, 3251, 4500), meta=np.ndarray>\n",
       "    water_v            (time, depth, lat, lon) float64 297TB dask.array<chunksize=(1, 1, 3251, 4500), meta=np.ndarray>\n",
       "    water_v_bottom     (time, lat, lon) float64 7TB dask.array<chunksize=(1, 3251, 4500), meta=np.ndarray>\n",
       "Attributes:\n",
       "    Conventions:               CF-1.6 NAVO_netcdf_v1.1\n",
       "    classification_authority:  not applicable\n",
       "    classification_level:      UNCLASSIFIED\n",
       "    distribution_statement:    Approved for public release. Distribution unli...\n",
       "    downgrade_date:            not applicable\n",
       "    field_type:                instantaneous\n",
       "    history:                   archv2ncdf3z\n",
       "    institution:               Naval Oceanographic Office\n",
       "    source:                    HYCOM archive file"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  }
 ],
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