HyCOM_ospy.ipynb

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    "<span style='font-family:serif'> <span style='color:#0066cc'> <font size=\"8\"> **Import datasets**\n",
    "        \n",
    "<span style='font-family:serif'> <font size=\"4.5\"> Here we show how to import any Ocean General Circulation Model data set. GCM model output come with some grid variables but not all, and with their own naming conventions. The following step-by-step instructions of how to exploit some of oceanspy methods to sample model output."
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   "source": [
    "import xarray as xr\n",
    "import oceanspy as ospy\n",
    "import numpy as np\n",
    "import cartopy.crs as ccrs\n",
    "import matplotlib.pyplot as plt\n",
    "from xgcm.autogenerate import generate_grid_ds"
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   "source": [
    "ds = xr.open_dataset('/home/idies/workspace/poseidon/data10_01/HyCOM', engine='zarr')"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 902, lat: 1251, lon: 701, Z: 101)\n",
       "Coordinates:\n",
       "  * Z        (Z) float64 -0.0 -2.0 -4.0 -6.0 ... -5.5e+03 -6e+03 -7e+03 -8e+03\n",
       "  * lat      (lat) float64 23.0 23.02 23.04 23.06 ... 47.94 47.96 47.98 48.0\n",
       "  * lon      (lon) float64 -143.0 -143.0 -142.9 -142.9 ... -115.1 -115.0 -115.0\n",
       "  * time     (time) datetime64[ns] 2019-10-01T12:00:00 ... 2019-11-10T12:00:00\n",
       "Data variables:\n",
       "    Eta      (time, lat, lon) float32 ...\n",
       "    S        (time, Z, lat, lon) float32 ...\n",
       "    T        (time, Z, lat, lon) float32 ...\n",
       "    U        (time, Z, lat, lon) float32 ...\n",
       "    V        (time, Z, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    Conventions:               CF-1.0 NAVO_netcdf_v1.0\n",
       "    NCO:                       &quot;4.5.2&quot;\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:                   Wed Oct  2 06:29:05 2019: ncks -d lon,-143.0,-...\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-e1864ba4-2a81-451e-a2c6-0b09a79dede3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e1864ba4-2a81-451e-a2c6-0b09a79dede3' 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>: 902</li><li><span class='xr-has-index'>lat</span>: 1251</li><li><span class='xr-has-index'>lon</span>: 701</li><li><span class='xr-has-index'>Z</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a38164e5-8309-4ad5-b72e-20cc0f94a377' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a38164e5-8309-4ad5-b72e-20cc0f94a377' 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'>Z</span></div><div class='xr-var-dims'>(Z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.0 -2.0 -4.0 ... -7e+03 -8e+03</div><input id='attrs-2bae3cd5-3012-4778-ba6b-58314c55b70f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bae3cd5-3012-4778-ba6b-58314c55b70f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ce0bbcc-8823-4461-92af-02a5860e7022' class='xr-var-data-in' type='checkbox'><label for='data-1ce0bbcc-8823-4461-92af-02a5860e7022' 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>axis :</span></dt><dd>Z</dd><dt><span>lon_name :</span></dt><dd>Z</dd><dt><span>negative :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>Z</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,\n",
       "       -1.20e+01, -1.50e+01, -2.00e+01, -2.50e+01, -3.00e+01, -3.50e+01,\n",
       "       -4.00e+01, -4.50e+01, -5.00e+01, -5.50e+01, -6.00e+01, -6.50e+01,\n",
       "       -7.00e+01, -7.50e+01, -8.00e+01, -8.50e+01, -9.00e+01, -9.50e+01,\n",
       "       -1.00e+02, -1.10e+02, -1.20e+02, -1.30e+02, -1.40e+02, -1.50e+02,\n",
       "       -1.60e+02, -1.70e+02, -1.80e+02, -1.90e+02, -2.00e+02, -2.10e+02,\n",
       "       -2.20e+02, -2.30e+02, -2.40e+02, -2.50e+02, -2.60e+02, -2.70e+02,\n",
       "       -2.80e+02, -2.90e+02, -3.00e+02, -3.10e+02, -3.20e+02, -3.30e+02,\n",
       "       -3.40e+02, -3.50e+02, -3.60e+02, -3.70e+02, -3.80e+02, -3.90e+02,\n",
       "       -4.00e+02, -4.10e+02, -4.20e+02, -4.30e+02, -4.40e+02, -4.50e+02,\n",
       "       -4.60e+02, -4.70e+02, -4.80e+02, -4.90e+02, -5.00e+02, -5.10e+02,\n",
       "       -5.20e+02, -5.30e+02, -5.40e+02, -5.50e+02, -6.00e+02, -6.50e+02,\n",
       "       -7.00e+02, -7.50e+02, -8.00e+02, -8.50e+02, -9.00e+02, -9.50e+02,\n",
       "       -1.00e+03, -1.05e+03, -1.10e+03, -1.15e+03, -1.20e+03, -1.25e+03,\n",
       "       -1.30e+03, -1.35e+03, -1.40e+03, -1.45e+03, -1.50e+03, -1.75e+03,\n",
       "       -2.00e+03, -2.50e+03, -3.00e+03, -3.50e+03, -4.00e+03, -4.50e+03,\n",
       "       -5.00e+03, -5.50e+03, -6.00e+03, -7.00e+03, -8.00e+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'>23.0 23.02 23.04 ... 47.98 48.0</div><input id='attrs-6df9eac9-4346-4bd8-bb9c-e6242fdb3ec3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6df9eac9-4346-4bd8-bb9c-e6242fdb3ec3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42979d61-6be2-4fa5-ab03-f0f45fd06260' class='xr-var-data-in' type='checkbox'><label for='data-42979d61-6be2-4fa5-ab03-f0f45fd06260' 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>point_spacing :</span></dt><dd>even</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([23.      , 23.02    , 23.040001, ..., 47.959999, 47.98    , 48.      ])</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'>-143.0 -143.0 ... -115.0 -115.0</div><input id='attrs-cfed7a2d-f42c-4622-b3c2-6fe7d1c9da8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfed7a2d-f42c-4622-b3c2-6fe7d1c9da8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cb0b818-a952-4f1a-ae65-068981ba5eaf' class='xr-var-data-in' type='checkbox'><label for='data-9cb0b818-a952-4f1a-ae65-068981ba5eaf' 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>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([-143.      , -142.960022, -142.919983, ..., -115.080017, -115.039978,\n",
       "       -115.      ])</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'>2019-10-01T12:00:00 ... 2019-11-...</div><input id='attrs-e5511aa3-de68-4091-9fff-265dc39353d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5511aa3-de68-4091-9fff-265dc39353d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-068d7af9-a6d4-47bb-9e3f-7eb54e8acb61' class='xr-var-data-in' type='checkbox'><label for='data-068d7af9-a6d4-47bb-9e3f-7eb54e8acb61' 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;2019-10-01T12:00:00.000000000&#x27;, &#x27;2019-10-01T12:59:59.999999744&#x27;,\n",
       "       &#x27;2019-10-01T14:00:00.000000256&#x27;, ..., &#x27;2019-11-10T09:59:59.999999744&#x27;,\n",
       "       &#x27;2019-11-10T11:00:00.000000256&#x27;, &#x27;2019-11-10T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd9d8fdd-4792-4f2a-9a9b-972d89b3744f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dd9d8fdd-4792-4f2a-9a9b-972d89b3744f' class='xr-section-summary' >Data variables: <span>(5)</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>Eta</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'>...</div><input id='attrs-b031d484-e845-434c-8bd6-b8d422fc0d75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b031d484-e845-434c-8bd6-b8d422fc0d75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a690e692-e1d3-4675-8206-473a5d4ac1dc' class='xr-var-data-in' type='checkbox'><label for='data-a690e692-e1d3-4675-8206-473a5d4ac1dc' 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> sea surf. height  [21.6H]</dd><dt><span>standard_name :</span></dt><dd>sea_surface_elevation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_range :</span></dt><dd>[-8.658242225646973, 4.758149147033691]</dd></dl></div><div class='xr-var-data'><pre>[791009802 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>S</span></div><div class='xr-var-dims'>(time, Z, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-811b888c-f99b-470d-bad9-05b89e31b90b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-811b888c-f99b-470d-bad9-05b89e31b90b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bd25b49-fe00-49c5-8b3b-45a5be519486' class='xr-var-data-in' type='checkbox'><label for='data-2bd25b49-fe00-49c5-8b3b-45a5be519486' 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'><pre>[79891990002 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T</span></div><div class='xr-var-dims'>(time, Z, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d9ccfdae-085e-45aa-a420-db8c8685e9c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9ccfdae-085e-45aa-a420-db8c8685e9c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e83001b-890d-4602-b8c8-1feb6ee9c715' class='xr-var-data-in' type='checkbox'><label for='data-9e83001b-890d-4602-b8c8-1feb6ee9c715' 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>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'><pre>[79891990002 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U</span></div><div class='xr-var-dims'>(time, Z, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6ee892b5-fdc9-488b-85e1-6eb6fa6fc408' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ee892b5-fdc9-488b-85e1-6eb6fa6fc408' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8300e0d-0370-42b3-b45f-369023b93deb' class='xr-var-data-in' type='checkbox'><label for='data-d8300e0d-0370-42b3-b45f-369023b93deb' 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'><pre>[79891990002 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V</span></div><div class='xr-var-dims'>(time, Z, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47853eea-7b8c-447c-86d1-353cdef82a4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47853eea-7b8c-447c-86d1-353cdef82a4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bed0dc24-d69f-4fe3-8bca-f1a400b7a298' class='xr-var-data-in' type='checkbox'><label for='data-bed0dc24-d69f-4fe3-8bca-f1a400b7a298' 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'><pre>[79891990002 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-914420c1-9616-4d83-b280-4ff3e58f532a' class='xr-section-summary-in' type='checkbox'  ><label for='section-914420c1-9616-4d83-b280-4ff3e58f532a' 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>Z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a9cab07d-8429-4b14-a142-60f548d64341' class='xr-index-data-in' type='checkbox'/><label for='index-a9cab07d-8429-4b14-a142-60f548d64341' 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(Float64Index([   -0.0,    -2.0,    -4.0,    -6.0,    -8.0,   -10.0,   -12.0,\n",
       "                -15.0,   -20.0,   -25.0,\n",
       "              ...\n",
       "              -2500.0, -3000.0, -3500.0, -4000.0, -4500.0, -5000.0, -5500.0,\n",
       "              -6000.0, -7000.0, -8000.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;Z&#x27;, length=101))</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-421a4239-717c-42a4-a68a-c404aa005f35' class='xr-index-data-in' type='checkbox'/><label for='index-421a4239-717c-42a4-a68a-c404aa005f35' 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(Float64Index([              23.0, 23.020000457763672, 23.040000915527344,\n",
       "              23.059999465942383, 23.079999923706055, 23.100000381469727,\n",
       "                23.1200008392334, 23.139999389648438,  23.15999984741211,\n",
       "               23.18000030517578,\n",
       "              ...\n",
       "               47.81999969482422,  47.84000015258789,  47.86000061035156,\n",
       "              47.880001068115234, 47.900001525878906,  47.91999816894531,\n",
       "              47.939998626708984, 47.959999084472656,  47.97999954223633,\n",
       "                            48.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=1251))</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-76310884-51dd-4236-b9c0-5c73de3aef76' class='xr-index-data-in' type='checkbox'/><label for='index-76310884-51dd-4236-b9c0-5c73de3aef76' 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(Float64Index([             -143.0, -142.96002197265625, -142.91998291015625,\n",
       "               -142.8800048828125,  -142.8399658203125, -142.79998779296875,\n",
       "                -142.760009765625,   -142.719970703125, -142.67999267578125,\n",
       "               -142.6400146484375,\n",
       "              ...\n",
       "               -115.3599853515625, -115.32000732421875,   -115.280029296875,\n",
       "                -115.239990234375, -115.20001220703125,  -115.1600341796875,\n",
       "               -115.1199951171875, -115.08001708984375, -115.03997802734375,\n",
       "                           -115.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=701))</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-3e3dfc04-2fcc-4254-ba6e-0e07d24337ac' class='xr-index-data-in' type='checkbox'/><label for='index-3e3dfc04-2fcc-4254-ba6e-0e07d24337ac' 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;2019-10-01 12:00:00&#x27;,\n",
       "               &#x27;2019-10-01 12:59:59.999999744&#x27;,\n",
       "               &#x27;2019-10-01 14:00:00.000000256&#x27;,\n",
       "                         &#x27;2019-10-01 15:00:00&#x27;,\n",
       "               &#x27;2019-10-01 15:59:59.999999744&#x27;,\n",
       "               &#x27;2019-10-01 17:00:00.000000256&#x27;,\n",
       "                         &#x27;2019-10-01 18:00:00&#x27;,\n",
       "                         &#x27;2019-10-01 21:00:00&#x27;,\n",
       "                         &#x27;2019-10-02 00:00:00&#x27;,\n",
       "                         &#x27;2019-10-02 03:00:00&#x27;,\n",
       "               ...\n",
       "                         &#x27;2019-11-10 03:00:00&#x27;,\n",
       "               &#x27;2019-11-10 03:59:59.999999744&#x27;,\n",
       "               &#x27;2019-11-10 05:00:00.000000256&#x27;,\n",
       "                         &#x27;2019-11-10 06:00:00&#x27;,\n",
       "               &#x27;2019-11-10 06:59:59.999999744&#x27;,\n",
       "               &#x27;2019-11-10 08:00:00.000000256&#x27;,\n",
       "                         &#x27;2019-11-10 09:00:00&#x27;,\n",
       "               &#x27;2019-11-10 09:59:59.999999744&#x27;,\n",
       "               &#x27;2019-11-10 11:00:00.000000256&#x27;,\n",
       "                         &#x27;2019-11-10 12:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=902, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c8acf74-09a5-4082-be0a-52fe62b4f1bb' class='xr-section-summary-in' type='checkbox'  ><label for='section-0c8acf74-09a5-4082-be0a-52fe62b4f1bb' class='xr-section-summary' >Attributes: <span>(10)</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-1.0 NAVO_netcdf_v1.0</dd><dt><span>NCO :</span></dt><dd>&quot;4.5.2&quot;</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>Wed Oct  2 06:29:05 2019: ncks -d lon,-143.0,-115.0 -d lat,23.0,48.0 /p/work1/smedstad/hycom/GLBy0.04/expt_21.6/nowcast_2019100112/netcdf/GLBy0.04_216_2019100112_t0000_ts3z.nc /p/work1/smedstad/hycom/GLBy0.04/expt_21.6/nowcast_2019100112/netcdf/../cutoutnetcdf/GLBy0.04_216_2019100112_t0000_ts3z_pac.nc\n",
       "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>\n",
       "Dimensions:  (time: 902, lat: 1251, lon: 701, Z: 101)\n",
       "Coordinates:\n",
       "  * Z        (Z) float64 -0.0 -2.0 -4.0 -6.0 ... -5.5e+03 -6e+03 -7e+03 -8e+03\n",
       "  * lat      (lat) float64 23.0 23.02 23.04 23.06 ... 47.94 47.96 47.98 48.0\n",
       "  * lon      (lon) float64 -143.0 -143.0 -142.9 -142.9 ... -115.1 -115.0 -115.0\n",
       "  * time     (time) datetime64[ns] 2019-10-01T12:00:00 ... 2019-11-10T12:00:00\n",
       "Data variables:\n",
       "    Eta      (time, lat, lon) float32 ...\n",
       "    S        (time, Z, lat, lon) float32 ...\n",
       "    T        (time, Z, lat, lon) float32 ...\n",
       "    U        (time, Z, lat, lon) float32 ...\n",
       "    V        (time, Z, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    Conventions:               CF-1.0 NAVO_netcdf_v1.0\n",
       "    NCO:                       \"4.5.2\"\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:                   Wed Oct  2 06:29:05 2019: ncks -d lon,-143.0,-...\n",
       "    institution:               Naval Oceanographic Office\n",
       "    source:                    HYCOM archive file"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T15:30:07.961740Z",
     "iopub.status.busy": "2023-06-21T15:30:07.960859Z",
     "iopub.status.idle": "2023-06-21T15:30:08.118401Z",
     "shell.execute_reply": "2023-06-21T15:30:08.116115Z",
     "shell.execute_reply.started": "2023-06-21T15:30:07.961678Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ds = generate_grid_ds(ds, {'X':'lon', 'Y': 'lat', 'Z': 'Z'}).isel(lon=slice(0, -1), lat=slice(0, -1), Z=slice(0, -1))\n",
    "ds = ds.rename({'lon': 'X', 'lat': 'Y', 'lon_left': 'Xp1', 'lat_left': 'Yp1', 'Z_left': 'Zp1'})\n",
    "lon_c, lat_c = np.meshgrid(ds.X, ds.Y)\n",
    "lon_g, lat_g = np.meshgrid(ds.Xp1, ds.Yp1)\n",
    "\n",
    "# coordinate must be 2d\n",
    "XC = xr.DataArray(lon_c, dims=['Y', 'X'])\n",
    "YC = xr.DataArray(lat_c, dims=['Y', 'X'])\n",
    "\n",
    "XG = xr.DataArray(lon_g, dims=['Yp1', 'Xp1'])\n",
    "YG = xr.DataArray(lat_g, dims=['Yp1', 'Xp1'])\n",
    "\n",
    "ds['XC'], ds['YC'] = XC, YC\n",
    "ds['XG'], ds['YG'] = XG, YG\n",
    "\n",
    "ds = ds.set_coords(['XC', 'YC', 'XG', 'YG'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T15:30:09.677193Z",
     "iopub.status.busy": "2023-06-21T15:30:09.676315Z",
     "iopub.status.idle": "2023-06-21T15:30:09.720893Z",
     "shell.execute_reply": "2023-06-21T15:30:09.718682Z",
     "shell.execute_reply.started": "2023-06-21T15:30:09.677131Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "od = ospy.OceanDataset(ds)\n",
    "\n",
    "grid_coords = {\n",
    "    \"Y\": {\"Y\": None, \"Yp1\": 0.5},\n",
    "    \"X\": {\"X\": None, \"Xp1\": 0.5},\n",
    "    \"Z\": {\"Z\": None, \"Zp1\": 0.5},\n",
    "    \"time\": {\"time\": -0.5}\n",
    "}\n",
    "grid_coords = {\"add_midp\": True, \"overwrite\": True, \"grid_coords\": grid_coords}\n",
    "\n",
    "od = od.set_grid_coords(**grid_coords)\n",
    "\n",
    "od = od.set_name('HyCOM dataset')\n",
    "od = od.set_projection('Mercator')\n",
    "od = od.set_description('Sample data (snapshots) off the Northern California Coast from a (1/25 deg) numerical simulation covering the California Coast using the HyCOM model. The original grid has 41 (isopycnal) layers but these files were interpolated to 101 vertical levels.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set aliases\n",
    "\n",
    "Oceanspy distinguishes between snapshots and mean fields. The difference between the two types of fields is important in oceanspy, for example, when computing \n",
    "potential density ($\\sigma$). In this case, it can only be computed using snapshot data, which oceanspy recognizes only by the name as \"Temp\". Different models yield\n",
    "different naming conventions and renaming the variable is not the desired approach. For this, an \"alias\" for a variable can be set so that `oceanspy` can recognize the\n",
    "variable according to its own naming convections, while keeing the original name in the xr.DataSet object. This is done with\n",
    "\n",
    "```python\n",
    "od.set_aliases(aliases={'ospy_name': 'original_name'}, overwrite=True)\n",
    "```\n",
    "\n",
    "The variable can be accessed by its original name via `od.dataset`, while also be accessed by the aliased name via `od._ds`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T15:30:13.374800Z",
     "iopub.status.busy": "2023-06-21T15:30:13.372576Z",
     "iopub.status.idle": "2023-06-21T15:30:13.392284Z",
     "shell.execute_reply": "2023-06-21T15:30:13.390097Z",
     "shell.execute_reply.started": "2023-06-21T15:30:13.374721Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Data variables:\n",
       "     Eta      (time, Y, X) float32 ...\n",
       "     S        (time, Z, Y, X) float32 ...\n",
       "     T        (time, Z, Y, X) float32 ...\n",
       "     U        (time, Z, Y, X) float32 ...\n",
       "     V        (time, Z, Y, X) float32 ...,\n",
       " Data variables:\n",
       "     Eta      (time, Y, X) float32 ...\n",
       "     S        (time, Z, Y, X) float32 ...\n",
       "     T        (time, Z, Y, X) float32 ...\n",
       "     U        (time, Z, Y, X) float32 ...\n",
       "     V        (time, Z, Y, X) float32 ...)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "od.dataset.data_vars, od._ds.data_vars "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T15:30:15.564428Z",
     "iopub.status.busy": "2023-06-21T15:30:15.563602Z",
     "iopub.status.idle": "2023-06-21T15:30:15.579140Z",
     "shell.execute_reply": "2023-06-21T15:30:15.577060Z",
     "shell.execute_reply.started": "2023-06-21T15:30:15.564366Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "od = od.set_aliases(aliases = {'Temp': 'T'}, overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T15:30:16.725295Z",
     "iopub.status.busy": "2023-06-21T15:30:16.724424Z",
     "iopub.status.idle": "2023-06-21T15:30:16.745939Z",
     "shell.execute_reply": "2023-06-21T15:30:16.743646Z",
     "shell.execute_reply.started": "2023-06-21T15:30:16.725232Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Data variables:\n",
       "     Eta      (time, Y, X) float32 ...\n",
       "     S        (time, Z, Y, X) float32 ...\n",
       "     T        (time, Z, Y, X) float32 ...\n",
       "     U        (time, Z, Y, X) float32 ...\n",
       "     V        (time, Z, Y, X) float32 ...,\n",
       " Data variables:\n",
       "     Eta      (time, Y, X) float32 ...\n",
       "     S        (time, Z, Y, X) float32 ...\n",
       "     Temp     (time, Z, Y, X) float32 ...\n",
       "     U        (time, Z, Y, X) float32 ...\n",
       "     V        (time, Z, Y, X) float32 ...)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "od.dataset.data_vars, od._ds.data_vars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# look at a horizontal section"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T15:30:19.861204Z",
     "iopub.status.busy": "2023-06-21T15:30:19.860322Z",
     "iopub.status.idle": "2023-06-21T15:30:19.946225Z",
     "shell.execute_reply": "2023-06-21T15:30:19.944029Z",
     "shell.execute_reply.started": "2023-06-21T15:30:19.861143Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cutting out the oceandataset.\n"
     ]
    }
   ],
   "source": [
    "cutout_kwargs = {\n",
    "    'timeRange': ds.time[0],\n",
    "}\n",
    "\n",
    "cutout_od = od.subsample.cutout(**cutout_kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T15:30:22.411903Z",
     "iopub.status.busy": "2023-06-21T15:30:22.411037Z",
     "iopub.status.idle": "2023-06-21T15:32:49.218887Z",
     "shell.execute_reply": "2023-06-21T15:32:49.216803Z",
     "shell.execute_reply.started": "2023-06-21T15:30:22.411841Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Computing potential density anomaly using the following parameters: {'eq_state': 'jmd95'}.\n"
     ]
    }
   ],
   "source": [
    "cutout_od = cutout_od.compute.potential_density_anomaly()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T16:04:21.969671Z",
     "iopub.status.busy": "2023-06-21T16:04:21.968700Z",
     "iopub.status.idle": "2023-06-21T16:04:28.495191Z",
     "shell.execute_reply": "2023-06-21T16:04:28.492676Z",
     "shell.execute_reply.started": "2023-06-21T16:04:21.969592Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "HFacC = xr.ones_like(od._ds['Temp'].isel(time=0))\n",
    "HFacW = xr.DataArray(np.ones([len(ds.Z), len(ds.Y), len(ds.Xp1)]), dims=['Z', 'Y', 'Xp1'], coords={'Z': ds.Z, \"Y\": ds.Y, 'Xp1': ds.Xp1})\n",
    "HFacS = xr.DataArray(np.ones([len(ds.Z), len(ds.Yp1), len(ds.X)]), dims=['Z', 'Yp1', 'X'], coords={'Z': ds.Z, \"Yp1\": ds.Yp1, 'X': ds.X})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T16:04:51.554341Z",
     "iopub.status.busy": "2023-06-21T16:04:51.553448Z",
     "iopub.status.idle": "2023-06-21T16:04:51.579617Z",
     "shell.execute_reply": "2023-06-21T16:04:51.577781Z",
     "shell.execute_reply.started": "2023-06-21T16:04:51.554278Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "cutout_od._ds['HFacC'] = HFacC\n",
    "cutout_od._ds['HFacW'] = HFacW\n",
    "cutout_od._ds['HFacS'] = HFacS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# compute mooring array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T16:04:53.025995Z",
     "iopub.status.busy": "2023-06-21T16:04:53.025121Z",
     "iopub.status.idle": "2023-06-21T16:04:53.985547Z",
     "shell.execute_reply": "2023-06-21T16:04:53.982344Z",
     "shell.execute_reply.started": "2023-06-21T16:04:53.025933Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cutting out the oceandataset.\n",
      "Extracting mooring array.\n"
     ]
    }
   ],
   "source": [
    "Xmoor = np.linspace(-130, -122, 10)\n",
    "Ymoor = np.linspace(35, 37.5, 10)\n",
    "od_moor = cutout_od.subsample.mooring_array(Xmoor=Xmoor, Ymoor=Ymoor, **cutout_kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T15:58:39.313905Z",
     "iopub.status.busy": "2023-06-21T15:58:39.312948Z",
     "iopub.status.idle": "2023-06-21T15:58:43.260183Z",
     "shell.execute_reply": "2023-06-21T15:58:43.257633Z",
     "shell.execute_reply.started": "2023-06-21T15:58:39.313843Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cutting out the oceandataset.\n",
      "Computing weighted_mean.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 8))\n",
    "ax = od.plot.horizontal_section(varName=\"Eta\", meanAxes='time', cutout_kwargs = cutout_kwargs, cmap='seismic')\n",
    "XC = od_moor.dataset[\"XC\"].squeeze()\n",
    "YC = od_moor.dataset[\"YC\"].squeeze()\n",
    "ax.plot(XC, YC, \"k.\", transform=ccrs.PlateCarree());"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T15:58:51.693330Z",
     "iopub.status.busy": "2023-06-21T15:58:51.692512Z",
     "iopub.status.idle": "2023-06-21T15:58:53.212807Z",
     "shell.execute_reply": "2023-06-21T15:58:53.210392Z",
     "shell.execute_reply.started": "2023-06-21T15:58:51.693268Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cutting out the oceandataset.\n",
      "Computing weighted_mean.\n",
      "Computing weighted_mean.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = od_moor.plot.vertical_section(\n",
    "    varName=\"T\",\n",
    "    meanAxes=\"time\",\n",
    "    contourName='Sigma0',\n",
    "    robust=True,\n",
    "    cmap=\"RdBu_r\",\n",
    "    cutout_kwargs={'ZRange': [0, -1000]},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T15:58:54.880128Z",
     "iopub.status.busy": "2023-06-21T15:58:54.879448Z",
     "iopub.status.idle": "2023-06-21T15:58:55.836617Z",
     "shell.execute_reply": "2023-06-21T15:58:55.834338Z",
     "shell.execute_reply.started": "2023-06-21T15:58:54.880069Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cutting out the oceandataset.\n",
      "Computing weighted_mean.\n",
      "Computing weighted_mean.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = od_moor.plot.vertical_section(\n",
    "    varName=\"S\",\n",
    "    meanAxes=\"time\",\n",
    "    contourName='Sigma0',\n",
    "    robust=True,\n",
    "    cmap=\"PuOr\",\n",
    "    cutout_kwargs={'ZRange': [0, -1000]},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T16:05:05.189031Z",
     "iopub.status.busy": "2023-06-21T16:05:05.188110Z",
     "iopub.status.idle": "2023-06-21T16:05:05.372239Z",
     "shell.execute_reply": "2023-06-21T16:05:05.370141Z",
     "shell.execute_reply.started": "2023-06-21T16:05:05.188969Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (time: 2, mooring: 326, Y: 1, X: 1, Z: 100, Zp1: 101,\n",
       "                        Yp1: 2, Xp1: 2, time_midp: 1, mooring_midp: 325)\n",
       "Coordinates: (12/21)\n",
       "  * Z                  (Z) float64 -0.0 -2.0 -4.0 ... -5.5e+03 -6e+03 -7e+03\n",
       "  * time               (time) datetime64[ns] 2019-10-01T12:00:00 2019-10-01T1...\n",
       "  * Zp1                (Zp1) float64 1.0 -1.0 -3.0 ... -6.5e+03 -7.5e+03\n",
       "    XC                 (mooring, Y, X) float64 -130.0 -130.0 ... -122.0 -122.0\n",
       "    YC                 (mooring, Y, X) float64 35.0 35.02 35.02 ... 37.5 37.5\n",
       "    XG                 (mooring, Yp1, Xp1) float64 -130.0 -130.0 ... -122.0\n",
       "    ...                 ...\n",
       "  * Y                  (Y) int64 0\n",
       "  * Xp1                (Xp1) int64 0 1\n",
       "  * Yp1                (Yp1) int64 0 1\n",
       "    mooring_dist       (mooring) float64 0.0 2.224 5.864 ... 989.6 991.8 995.3\n",
       "  * mooring_midp       (mooring_midp) float64 0.5 1.5 2.5 ... 322.5 323.5 324.5\n",
       "    mooring_midp_dist  (mooring_midp) float64 1.112 4.044 7.688 ... 990.7 993.5\n",
       "Data variables:\n",
       "    Eta                (time, mooring, Y, X) float32 ...\n",
       "    S                  (time, Z, mooring, Y, X) float32 33.38 33.38 ... nan nan\n",
       "    Temp               (time, Z, mooring, Y, X) float32 20.53 20.56 ... nan nan\n",
       "    U                  (time, Z, mooring, Y, X) float32 ...\n",
       "    V                  (time, Z, mooring, Y, X) float32 ...\n",
       "    Sigma0             (time, Z, mooring, Y, X) float32 23.39 23.38 ... nan nan\n",
       "Attributes: (12/16)\n",
       "    Conventions:               CF-1.0 NAVO_netcdf_v1.0\n",
       "    NCO:                       &quot;4.5.2&quot;\n",
       "    classification_authority:  not applicable\n",
       "    classification_level:      UNCLASSIFIED\n",
       "    distribution_statement:    Approved for public release. Distribution unli...\n",
       "    downgrade_date:            not applicable\n",
       "    ...                        ...\n",
       "    OceanSpy_grid_coords:      {&#x27;Y&#x27;: {&#x27;Y&#x27;: None, &#x27;Yp1&#x27;: 0.5}, &#x27;X&#x27;: {&#x27;X&#x27;: None...\n",
       "    OceanSpy_name:             HyCOM dataset\n",
       "    OceanSpy_projection:       Mercator(**{})\n",
       "    OceanSpy_description:      Sample data (snapshots) off the Northern Calif...\n",
       "    OceanSpy_aliases:          {&#x27;Temp&#x27;: &#x27;T&#x27;}\n",
       "    OceanSpy_grid_periodic:    []</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-835bb7f6-8c17-4366-9a91-d386787869f3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-835bb7f6-8c17-4366-9a91-d386787869f3' 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>: 2</li><li><span class='xr-has-index'>mooring</span>: 326</li><li><span class='xr-has-index'>Y</span>: 1</li><li><span class='xr-has-index'>X</span>: 1</li><li><span class='xr-has-index'>Z</span>: 100</li><li><span class='xr-has-index'>Zp1</span>: 101</li><li><span class='xr-has-index'>Yp1</span>: 2</li><li><span class='xr-has-index'>Xp1</span>: 2</li><li><span class='xr-has-index'>time_midp</span>: 1</li><li><span class='xr-has-index'>mooring_midp</span>: 325</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-39249d66-0b0c-4f2c-b7d2-77a9b4f4883b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-39249d66-0b0c-4f2c-b7d2-77a9b4f4883b' class='xr-section-summary' >Coordinates: <span>(21)</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'>Z</span></div><div class='xr-var-dims'>(Z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.0 -2.0 -4.0 ... -6e+03 -7e+03</div><input id='attrs-60dda804-4677-4e4d-b54f-c3414a1931f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60dda804-4677-4e4d-b54f-c3414a1931f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd734f1d-76e8-46db-9524-e6aca8f6025e' class='xr-var-data-in' type='checkbox'><label for='data-fd734f1d-76e8-46db-9524-e6aca8f6025e' 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>axis :</span></dt><dd>Z</dd><dt><span>lon_name :</span></dt><dd>Z</dd><dt><span>negative :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>Z</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,\n",
       "       -1.20e+01, -1.50e+01, -2.00e+01, -2.50e+01, -3.00e+01, -3.50e+01,\n",
       "       -4.00e+01, -4.50e+01, -5.00e+01, -5.50e+01, -6.00e+01, -6.50e+01,\n",
       "       -7.00e+01, -7.50e+01, -8.00e+01, -8.50e+01, -9.00e+01, -9.50e+01,\n",
       "       -1.00e+02, -1.10e+02, -1.20e+02, -1.30e+02, -1.40e+02, -1.50e+02,\n",
       "       -1.60e+02, -1.70e+02, -1.80e+02, -1.90e+02, -2.00e+02, -2.10e+02,\n",
       "       -2.20e+02, -2.30e+02, -2.40e+02, -2.50e+02, -2.60e+02, -2.70e+02,\n",
       "       -2.80e+02, -2.90e+02, -3.00e+02, -3.10e+02, -3.20e+02, -3.30e+02,\n",
       "       -3.40e+02, -3.50e+02, -3.60e+02, -3.70e+02, -3.80e+02, -3.90e+02,\n",
       "       -4.00e+02, -4.10e+02, -4.20e+02, -4.30e+02, -4.40e+02, -4.50e+02,\n",
       "       -4.60e+02, -4.70e+02, -4.80e+02, -4.90e+02, -5.00e+02, -5.10e+02,\n",
       "       -5.20e+02, -5.30e+02, -5.40e+02, -5.50e+02, -6.00e+02, -6.50e+02,\n",
       "       -7.00e+02, -7.50e+02, -8.00e+02, -8.50e+02, -9.00e+02, -9.50e+02,\n",
       "       -1.00e+03, -1.05e+03, -1.10e+03, -1.15e+03, -1.20e+03, -1.25e+03,\n",
       "       -1.30e+03, -1.35e+03, -1.40e+03, -1.45e+03, -1.50e+03, -1.75e+03,\n",
       "       -2.00e+03, -2.50e+03, -3.00e+03, -3.50e+03, -4.00e+03, -4.50e+03,\n",
       "       -5.00e+03, -5.50e+03, -6.00e+03, -7.00e+03])</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'>2019-10-01T12:00:00 2019-10-01T1...</div><input id='attrs-46a4ed2a-8db2-407a-8668-612c052a4c50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46a4ed2a-8db2-407a-8668-612c052a4c50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d9e2ae3-d55f-4723-83fe-b7cdbe8ebd7d' class='xr-var-data-in' type='checkbox'><label for='data-2d9e2ae3-d55f-4723-83fe-b7cdbe8ebd7d' 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;2019-10-01T12:00:00.000000000&#x27;, &#x27;2019-10-01T12:59:59.999999744&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Zp1</span></div><div class='xr-var-dims'>(Zp1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 -1.0 -3.0 ... -6.5e+03 -7.5e+03</div><input id='attrs-0d7036da-11b6-4342-b4b5-68d50ded95eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d7036da-11b6-4342-b4b5-68d50ded95eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-528536da-73bb-4ec4-b76c-1a68144fdc39' class='xr-var-data-in' type='checkbox'><label for='data-528536da-73bb-4ec4-b76c-1a68144fdc39' 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>axis :</span></dt><dd>Z</dd><dt><span>c_grid_axis_shift :</span></dt><dd>-0.5</dd></dl></div><div class='xr-var-data'><pre>array([ 1.000e+00, -1.000e+00, -3.000e+00, -5.000e+00, -7.000e+00, -9.000e+00,\n",
       "       -1.100e+01, -1.350e+01, -1.750e+01, -2.250e+01, -2.750e+01, -3.250e+01,\n",
       "       -3.750e+01, -4.250e+01, -4.750e+01, -5.250e+01, -5.750e+01, -6.250e+01,\n",
       "       -6.750e+01, -7.250e+01, -7.750e+01, -8.250e+01, -8.750e+01, -9.250e+01,\n",
       "       -9.750e+01, -1.050e+02, -1.150e+02, -1.250e+02, -1.350e+02, -1.450e+02,\n",
       "       -1.550e+02, -1.650e+02, -1.750e+02, -1.850e+02, -1.950e+02, -2.050e+02,\n",
       "       -2.150e+02, -2.250e+02, -2.350e+02, -2.450e+02, -2.550e+02, -2.650e+02,\n",
       "       -2.750e+02, -2.850e+02, -2.950e+02, -3.050e+02, -3.150e+02, -3.250e+02,\n",
       "       -3.350e+02, -3.450e+02, -3.550e+02, -3.650e+02, -3.750e+02, -3.850e+02,\n",
       "       -3.950e+02, -4.050e+02, -4.150e+02, -4.250e+02, -4.350e+02, -4.450e+02,\n",
       "       -4.550e+02, -4.650e+02, -4.750e+02, -4.850e+02, -4.950e+02, -5.050e+02,\n",
       "       -5.150e+02, -5.250e+02, -5.350e+02, -5.450e+02, -5.750e+02, -6.250e+02,\n",
       "       -6.750e+02, -7.250e+02, -7.750e+02, -8.250e+02, -8.750e+02, -9.250e+02,\n",
       "       -9.750e+02, -1.025e+03, -1.075e+03, -1.125e+03, -1.175e+03, -1.225e+03,\n",
       "       -1.275e+03, -1.325e+03, -1.375e+03, -1.425e+03, -1.475e+03, -1.625e+03,\n",
       "       -1.875e+03, -2.250e+03, -2.750e+03, -3.250e+03, -3.750e+03, -4.250e+03,\n",
       "       -4.750e+03, -5.250e+03, -5.750e+03, -6.500e+03, -7.500e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XC</span></div><div class='xr-var-dims'>(mooring, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-130.0 -130.0 ... -122.0 -122.0</div><input id='attrs-5bfed722-1507-423c-a6ef-84c0b8aa9127' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5bfed722-1507-423c-a6ef-84c0b8aa9127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc37cc24-824f-427a-86c8-d868cf200e64' class='xr-var-data-in' type='checkbox'><label for='data-dc37cc24-824f-427a-86c8-d868cf200e64' 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([[[-130.        ]],\n",
       "\n",
       "       [[-130.        ]],\n",
       "\n",
       "       [[-129.96002197]],\n",
       "\n",
       "       [[-129.91998291]],\n",
       "\n",
       "       [[-129.91998291]],\n",
       "\n",
       "       [[-129.88000488]],\n",
       "\n",
       "       [[-129.83996582]],\n",
       "\n",
       "       [[-129.83996582]],\n",
       "\n",
       "       [[-129.79998779]],\n",
       "\n",
       "       [[-129.79998779]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[-122.20001221]],\n",
       "\n",
       "       [[-122.20001221]],\n",
       "\n",
       "       [[-122.16003418]],\n",
       "\n",
       "       [[-122.11999512]],\n",
       "\n",
       "       [[-122.11999512]],\n",
       "\n",
       "       [[-122.08001709]],\n",
       "\n",
       "       [[-122.08001709]],\n",
       "\n",
       "       [[-122.03997803]],\n",
       "\n",
       "       [[-122.03997803]],\n",
       "\n",
       "       [[-122.        ]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YC</span></div><div class='xr-var-dims'>(mooring, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.0 35.02 35.02 ... 37.5 37.5</div><input id='attrs-34e5ca8e-2fb9-40ef-a952-8383e9d6f1ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-34e5ca8e-2fb9-40ef-a952-8383e9d6f1ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cd9ecec-5a90-4bb0-81e2-e6f31875b9c2' class='xr-var-data-in' type='checkbox'><label for='data-1cd9ecec-5a90-4bb0-81e2-e6f31875b9c2' 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([[[35.        ]],\n",
       "\n",
       "       [[35.02000046]],\n",
       "\n",
       "       [[35.02000046]],\n",
       "\n",
       "       [[35.02000046]],\n",
       "\n",
       "       [[35.04000092]],\n",
       "\n",
       "       [[35.04000092]],\n",
       "\n",
       "       [[35.04000092]],\n",
       "\n",
       "       [[35.06000137]],\n",
       "\n",
       "       [[35.06000137]],\n",
       "\n",
       "       [[35.08000183]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[37.41999817]],\n",
       "\n",
       "       [[37.43999863]],\n",
       "\n",
       "       [[37.43999863]],\n",
       "\n",
       "       [[37.43999863]],\n",
       "\n",
       "       [[37.45999908]],\n",
       "\n",
       "       [[37.45999908]],\n",
       "\n",
       "       [[37.47999954]],\n",
       "\n",
       "       [[37.47999954]],\n",
       "\n",
       "       [[37.5       ]],\n",
       "\n",
       "       [[37.5       ]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XG</span></div><div class='xr-var-dims'>(mooring, Yp1, Xp1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-130.0 -130.0 ... -122.0 -122.0</div><input id='attrs-d148e215-5506-418c-9366-e09dd62f78b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d148e215-5506-418c-9366-e09dd62f78b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d819df7d-82fa-4f85-bb68-428fac28290d' class='xr-var-data-in' type='checkbox'><label for='data-d819df7d-82fa-4f85-bb68-428fac28290d' 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([[[-130.01998901, -129.98001099],\n",
       "        [-130.01998901, -129.98001099]],\n",
       "\n",
       "       [[-130.01998901, -129.98001099],\n",
       "        [-130.01998901, -129.98001099]],\n",
       "\n",
       "       [[-129.98001099, -129.94000244],\n",
       "        [-129.98001099, -129.94000244]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[-122.05999756, -122.01998901],\n",
       "        [-122.05999756, -122.01998901]],\n",
       "\n",
       "       [[-122.05999756, -122.01998901],\n",
       "        [-122.05999756, -122.01998901]],\n",
       "\n",
       "       [[-122.01998901, -121.98001099],\n",
       "        [-122.01998901, -121.98001099]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YG</span></div><div class='xr-var-dims'>(mooring, Yp1, Xp1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.99 34.99 35.01 ... 37.51 37.51</div><input id='attrs-c83e260a-aa41-4ea3-b2d6-8e80075e9f9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c83e260a-aa41-4ea3-b2d6-8e80075e9f9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f098ff0-1d84-4e61-97bb-e8fcfaa05b0b' class='xr-var-data-in' type='checkbox'><label for='data-7f098ff0-1d84-4e61-97bb-e8fcfaa05b0b' 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([[[34.98999977, 34.98999977],\n",
       "        [35.01000023, 35.01000023]],\n",
       "\n",
       "       [[35.01000023, 35.01000023],\n",
       "        [35.03000069, 35.03000069]],\n",
       "\n",
       "       [[35.01000023, 35.01000023],\n",
       "        [35.03000069, 35.03000069]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[37.46999931, 37.46999931],\n",
       "        [37.48999977, 37.48999977]],\n",
       "\n",
       "       [[37.48999977, 37.48999977],\n",
       "        [37.51000023, 37.51000023]],\n",
       "\n",
       "       [[37.48999977, 37.48999977],\n",
       "        [37.51000023, 37.51000023]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_midp</span></div><div class='xr-var-dims'>(time_midp)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-10-01T12:29:59.999999872</div><input id='attrs-0488e5c1-3ddd-4484-8c67-a66f69c75f4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0488e5c1-3ddd-4484-8c67-a66f69c75f4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79c29897-3daf-469f-8451-375d76a46c91' class='xr-var-data-in' type='checkbox'><label for='data-79c29897-3daf-469f-8451-375d76a46c91' 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>Mid-points of Valid Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-10-01T12:29:59.999999872&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HFacW</span></div><div class='xr-var-dims'>(Z, mooring, Y, Xp1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-d446d87d-a7f7-43e8-9551-8e29bffd0c8c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d446d87d-a7f7-43e8-9551-8e29bffd0c8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd4feab5-7e13-4d66-8c4b-dbef04e0f2d4' class='xr-var-data-in' type='checkbox'><label for='data-fd4feab5-7e13-4d66-8c4b-dbef04e0f2d4' 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([[[[1., 1.]],\n",
       "\n",
       "        [[1., 1.]],\n",
       "\n",
       "        [[1., 1.]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[1., 1.]],\n",
       "\n",
       "        [[1., 1.]],\n",
       "\n",
       "        [[1., 1.]]],\n",
       "\n",
       "\n",
       "       [[[1., 1.]],\n",
       "\n",
       "        [[1., 1.]],\n",
       "\n",
       "        [[1., 1.]],\n",
       "...\n",
       "        [[1., 1.]],\n",
       "\n",
       "        [[1., 1.]],\n",
       "\n",
       "        [[1., 1.]]],\n",
       "\n",
       "\n",
       "       [[[1., 1.]],\n",
       "\n",
       "        [[1., 1.]],\n",
       "\n",
       "        [[1., 1.]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[1., 1.]],\n",
       "\n",
       "        [[1., 1.]],\n",
       "\n",
       "        [[1., 1.]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HFacS</span></div><div class='xr-var-dims'>(Z, mooring, Yp1, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-c9615a2e-37c1-49be-9a44-5085e5090dca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9615a2e-37c1-49be-9a44-5085e5090dca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9f7f884-a4da-4f3c-8823-f22ef96c7ce1' class='xr-var-data-in' type='checkbox'><label for='data-b9f7f884-a4da-4f3c-8823-f22ef96c7ce1' 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([[[[1.],\n",
       "         [1.]],\n",
       "\n",
       "        [[1.],\n",
       "         [1.]],\n",
       "\n",
       "        [[1.],\n",
       "         [1.]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[1.],\n",
       "         [1.]],\n",
       "\n",
       "        [[1.],\n",
       "         [1.]],\n",
       "\n",
       "        [[1.],\n",
       "         [1.]]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[[1.],\n",
       "         [1.]],\n",
       "\n",
       "        [[1.],\n",
       "         [1.]],\n",
       "\n",
       "        [[1.],\n",
       "         [1.]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[1.],\n",
       "         [1.]],\n",
       "\n",
       "        [[1.],\n",
       "         [1.]],\n",
       "\n",
       "        [[1.],\n",
       "         [1.]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HFacC</span></div><div class='xr-var-dims'>(Z, mooring, Y, X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-06333c0e-1e18-42d7-bc72-ae9949546616' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06333c0e-1e18-42d7-bc72-ae9949546616' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a15d9127-d7cc-4151-b56f-852a6ba11547' class='xr-var-data-in' type='checkbox'><label for='data-a15d9127-d7cc-4151-b56f-852a6ba11547' 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>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'><pre>array([[[[1.]],\n",
       "\n",
       "        [[1.]],\n",
       "\n",
       "        [[1.]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[1.]],\n",
       "\n",
       "        [[1.]],\n",
       "\n",
       "        [[1.]]],\n",
       "\n",
       "\n",
       "       [[[1.]],\n",
       "\n",
       "        [[1.]],\n",
       "\n",
       "        [[1.]],\n",
       "...\n",
       "        [[1.]],\n",
       "\n",
       "        [[1.]],\n",
       "\n",
       "        [[1.]]],\n",
       "\n",
       "\n",
       "       [[[1.]],\n",
       "\n",
       "        [[1.]],\n",
       "\n",
       "        [[1.]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[1.]],\n",
       "\n",
       "        [[1.]],\n",
       "\n",
       "        [[1.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Xind</span></div><div class='xr-var-dims'>(mooring, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-130.0 -130.0 ... -122.0 -122.0</div><input id='attrs-48562e3b-ac6d-4c74-bb5d-da547859721a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48562e3b-ac6d-4c74-bb5d-da547859721a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b86103c-b0de-4b9b-a9ba-d0be00f8c3e7' class='xr-var-data-in' type='checkbox'><label for='data-9b86103c-b0de-4b9b-a9ba-d0be00f8c3e7' 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>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([[[-130.        ]],\n",
       "\n",
       "       [[-130.        ]],\n",
       "\n",
       "       [[-129.96002197]],\n",
       "\n",
       "       [[-129.91998291]],\n",
       "\n",
       "       [[-129.91998291]],\n",
       "\n",
       "       [[-129.88000488]],\n",
       "\n",
       "       [[-129.83996582]],\n",
       "\n",
       "       [[-129.83996582]],\n",
       "\n",
       "       [[-129.79998779]],\n",
       "\n",
       "       [[-129.79998779]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[-122.20001221]],\n",
       "\n",
       "       [[-122.20001221]],\n",
       "\n",
       "       [[-122.16003418]],\n",
       "\n",
       "       [[-122.11999512]],\n",
       "\n",
       "       [[-122.11999512]],\n",
       "\n",
       "       [[-122.08001709]],\n",
       "\n",
       "       [[-122.08001709]],\n",
       "\n",
       "       [[-122.03997803]],\n",
       "\n",
       "       [[-122.03997803]],\n",
       "\n",
       "       [[-122.        ]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Yind</span></div><div class='xr-var-dims'>(mooring, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.0 35.02 35.02 ... 37.5 37.5</div><input id='attrs-4246b163-4915-4dc6-94d3-be589a98a84e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4246b163-4915-4dc6-94d3-be589a98a84e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b90564dc-2311-427a-8e56-297eafb9cc11' class='xr-var-data-in' type='checkbox'><label for='data-b90564dc-2311-427a-8e56-297eafb9cc11' 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>point_spacing :</span></dt><dd>even</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([[[35.        ]],\n",
       "\n",
       "       [[35.02000046]],\n",
       "\n",
       "       [[35.02000046]],\n",
       "\n",
       "       [[35.02000046]],\n",
       "\n",
       "       [[35.04000092]],\n",
       "\n",
       "       [[35.04000092]],\n",
       "\n",
       "       [[35.04000092]],\n",
       "\n",
       "       [[35.06000137]],\n",
       "\n",
       "       [[35.06000137]],\n",
       "\n",
       "       [[35.08000183]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[37.41999817]],\n",
       "\n",
       "       [[37.43999863]],\n",
       "\n",
       "       [[37.43999863]],\n",
       "\n",
       "       [[37.43999863]],\n",
       "\n",
       "       [[37.45999908]],\n",
       "\n",
       "       [[37.45999908]],\n",
       "\n",
       "       [[37.47999954]],\n",
       "\n",
       "       [[37.47999954]],\n",
       "\n",
       "       [[37.5       ]],\n",
       "\n",
       "       [[37.5       ]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>mooring</span></div><div class='xr-var-dims'>(mooring)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 321 322 323 324 325</div><input id='attrs-136b18bb-908d-4069-a22f-7e0fe017bb81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-136b18bb-908d-4069-a22f-7e0fe017bb81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81be0c06-b3de-4396-b338-ec7bceedab78' class='xr-var-data-in' type='checkbox'><label for='data-81be0c06-b3de-4396-b338-ec7bceedab78' 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>index of mooring</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 323, 324, 325])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>X</span></div><div class='xr-var-dims'>(X)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-1090aad2-50a1-42cb-94bc-d3021602eee5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1090aad2-50a1-42cb-94bc-d3021602eee5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa86b942-4bc9-4b31-b691-5ee061bd8ef1' class='xr-var-data-in' type='checkbox'><label for='data-aa86b942-4bc9-4b31-b691-5ee061bd8ef1' 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>i-index of cell corner</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Y</span></div><div class='xr-var-dims'>(Y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-4cea338f-edbf-428e-afed-3696751f24c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cea338f-edbf-428e-afed-3696751f24c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d21eb5dd-9272-461a-84c7-813fba84dcf9' class='xr-var-data-in' type='checkbox'><label for='data-d21eb5dd-9272-461a-84c7-813fba84dcf9' 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>j-index of cell center</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Xp1</span></div><div class='xr-var-dims'>(Xp1)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-868f3b0b-f59c-427c-af23-c9f44f559706' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-868f3b0b-f59c-427c-af23-c9f44f559706' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-faee215e-ed87-4243-9a8e-1526decd23ff' class='xr-var-data-in' type='checkbox'><label for='data-faee215e-ed87-4243-9a8e-1526decd23ff' 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>i-index of cell corner</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Yp1</span></div><div class='xr-var-dims'>(Yp1)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-b4fdaed0-2110-4581-9a2d-5bf524f6f92d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4fdaed0-2110-4581-9a2d-5bf524f6f92d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd13ab4f-3750-43f3-ae38-fcbd1b6d2844' class='xr-var-data-in' type='checkbox'><label for='data-bd13ab4f-3750-43f3-ae38-fcbd1b6d2844' 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>j-index of cell center</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mooring_dist</span></div><div class='xr-var-dims'>(mooring)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.224 5.864 ... 991.8 995.3</div><input id='attrs-8076fba2-83f7-48b6-9a29-ab4ca293f1a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8076fba2-83f7-48b6-9a29-ab4ca293f1a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-403f2b35-2631-4985-acd0-44aaeb750e99' class='xr-var-data-in' type='checkbox'><label for='data-403f2b35-2631-4985-acd0-44aaeb750e99' 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>Distance from first mooring</dd><dt><span>units :</span></dt><dd>km</dd></dl></div><div class='xr-var-data'><pre>array([  0.        ,   2.22394943,   5.8644798 ,   9.51056824,\n",
       "        11.73451767,  15.37415732,  19.01935368,  21.24330311,\n",
       "        24.88205161,  27.10600104,  30.74385793,  32.96738319,\n",
       "        36.60990082,  40.24686583,  42.47081527,  46.10688779,\n",
       "        49.74851157,  51.97246101,  55.6076406 ,  59.24282019,\n",
       "        61.46676962,  65.10660437,  68.74089058,  70.96484001,\n",
       "        74.59823241,  76.82218184,  80.46022578,  84.09272391,\n",
       "        86.31667335,  89.94827678,  93.58542464,  95.80937408,\n",
       "        99.44008236, 101.66360762, 105.29342048, 107.51736992,\n",
       "       111.15182708, 114.78074392, 117.00469335, 120.63825268,\n",
       "       124.26627304, 126.49022247, 130.11734592, 133.75000696,\n",
       "       135.97395639, 139.60018248, 141.82413191, 145.45499506,\n",
       "       147.67894449, 151.30337454, 153.52732397, 157.15085534,\n",
       "       160.77991881, 163.00344407, 166.62607648, 170.2487089 ,\n",
       "       172.47265833, 176.09992054, 179.72165339, 181.94560282,\n",
       "       185.56643566, 187.7903851 , 191.4158441 , 195.0357765 ,\n",
       "       197.25972593, 200.87875743, 204.50331417, 206.72726361,\n",
       "       210.34539378, 212.56934321, 216.18657162, 218.41052105,\n",
       "       222.03236835, 225.64869454, 227.87264397, 231.48806751,\n",
       "       235.10901078, 237.33253604, 240.94705665, 244.56709562,\n",
       "...\n",
       "       762.08852956, 764.31205481, 767.8714301 , 771.42537951,\n",
       "       773.64932894, 777.20234599, 779.42629543, 782.98380272,\n",
       "       786.53588698, 788.75983642, 792.31098746, 795.8675601 ,\n",
       "       798.09150954, 801.64172693, 803.86567636, 807.41495966,\n",
       "       809.63890909, 813.1926752 , 815.41662464, 818.96403847,\n",
       "       822.5114523 , 824.73540173, 828.28729465, 831.83377309,\n",
       "       834.05729835, 837.60284116, 839.82679059, 843.37680877,\n",
       "       845.6007582 , 849.14442808, 852.68809796, 854.9120474 ,\n",
       "       858.46018892, 862.00292168, 864.22687112, 867.77407366,\n",
       "       871.31586889, 873.53981832, 877.08067557, 880.62693871,\n",
       "       882.85088815, 886.39080699, 888.61475642, 892.15913945,\n",
       "       895.69811946, 897.92164472, 901.45968563, 905.00312814,\n",
       "       907.22707757, 910.76417879, 912.98812822, 916.52428931,\n",
       "       918.74823874, 922.28885655, 925.82407707, 928.0480265 ,\n",
       "       931.58230603, 935.12198141, 937.34593084, 940.87926895,\n",
       "       944.41260706, 946.63655649, 950.17434571, 953.70674197,\n",
       "       955.9306914 , 959.46214537, 961.68567063, 965.22157215,\n",
       "       968.75208359, 970.97603302, 974.50560131, 978.04055825,\n",
       "       980.26450769, 983.7931324 , 986.01708183, 989.55014831,\n",
       "       991.77409775, 995.30083402])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>mooring_midp</span></div><div class='xr-var-dims'>(mooring_midp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 322.5 323.5 324.5</div><input id='attrs-81d26998-8c6c-44a2-8559-ac0852b13e26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81d26998-8c6c-44a2-8559-ac0852b13e26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a153a33e-d392-4b5d-97c0-5f8966e6f585' class='xr-var-data-in' type='checkbox'><label for='data-a153a33e-d392-4b5d-97c0-5f8966e6f585' 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>none</dd><dt><span>long_name :</span></dt><dd>Mid-points of index of mooring</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 322.5, 323.5, 324.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mooring_midp_dist</span></div><div class='xr-var-dims'>(mooring_midp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.112 4.044 7.688 ... 990.7 993.5</div><input id='attrs-b2931587-eb0b-473c-8290-8ef5b693bec1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2931587-eb0b-473c-8290-8ef5b693bec1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9661faab-eeed-4fd2-810a-23f9b26079fa' class='xr-var-data-in' type='checkbox'><label for='data-9661faab-eeed-4fd2-810a-23f9b26079fa' 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>Distance from first mooring</dd><dt><span>units :</span></dt><dd>km</dd></dl></div><div class='xr-var-data'><pre>array([  1.11197472,   4.04421462,   7.68752402,  10.62254295,\n",
       "        13.5543375 ,  17.1967555 ,  20.1313284 ,  23.06267736,\n",
       "        25.99402632,  28.92492949,  31.85562056,  34.78864201,\n",
       "        38.42838333,  41.35884055,  44.28885153,  47.92769968,\n",
       "        50.86048629,  53.7900508 ,  57.42523039,  60.3547949 ,\n",
       "        63.28668699,  66.92374747,  69.8528653 ,  72.78153621,\n",
       "        75.71020713,  78.64120381,  82.27647485,  85.20469863,\n",
       "        88.13247506,  91.76685071,  94.69739936,  97.62472822,\n",
       "       100.55184499, 103.47851405, 106.4053952 , 109.3345985 ,\n",
       "       112.9662855 , 115.89271864, 118.82147302, 122.45226286,\n",
       "       125.37824776, 128.3037842 , 131.93367644, 134.86198168,\n",
       "       137.78706944, 140.7121572 , 143.63956349, 146.56696977,\n",
       "       149.49115951, 152.41534926, 155.33908966, 158.96538708,\n",
       "       161.89168144, 164.81476028, 168.43739269, 171.36068361,\n",
       "       174.28628944, 177.91078696, 180.83362811, 183.75601924,\n",
       "       186.67841038, 189.6031146 , 193.2258103 , 196.14775121,\n",
       "       199.06924168, 202.6910358 , 205.61528889, 208.53632869,\n",
       "       211.4573685 , 214.37795742, 217.29854633, 220.2214447 ,\n",
       "       223.84053144, 226.76066926, 229.68035574, 233.29853914,\n",
       "       236.22077341, 239.13979634, 242.75707614, 245.67907034,\n",
       "...\n",
       "       763.20029219, 766.09174246, 769.6484048 , 772.53735422,\n",
       "       775.42583747, 778.31432071, 781.20504907, 784.75984485,\n",
       "       787.6478617 , 790.53541194, 794.08927378, 796.97953482,\n",
       "       799.86661823, 802.75370164, 805.64031801, 808.52693438,\n",
       "       811.41579215, 814.30464992, 817.19033155, 820.73774538,\n",
       "       823.62342701, 826.51134819, 830.06053387, 832.94553572,\n",
       "       835.83006976, 838.71481588, 841.60179968, 844.48878348,\n",
       "       847.37259314, 850.91626302, 853.80007268, 856.68611816,\n",
       "       860.2315553 , 863.1148964 , 866.00047239, 869.54497128,\n",
       "       872.42784361, 875.31024695, 878.85380714, 881.73891343,\n",
       "       884.62084757, 887.50278171, 890.38694794, 893.92862946,\n",
       "       896.80988209, 899.69066518, 903.23140689, 906.11510286,\n",
       "       908.99562818, 911.87615351, 914.75620876, 917.63626402,\n",
       "       920.51854764, 924.05646681, 926.93605179, 929.81516627,\n",
       "       933.35214372, 936.23395613, 939.1125999 , 942.645938  ,\n",
       "       945.52458177, 948.4054511 , 951.94054384, 954.81871668,\n",
       "       957.69641838, 960.573908  , 963.45362139, 966.98682787,\n",
       "       969.8640583 , 972.74081717, 976.27307978, 979.15253297,\n",
       "       982.02882004, 984.90510712, 987.78361507, 990.66212303,\n",
       "       993.53746588])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6f805510-4845-4bc3-8aef-a35bf35ef22f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6f805510-4845-4bc3-8aef-a35bf35ef22f' class='xr-section-summary' >Data variables: <span>(6)</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>Eta</span></div><div class='xr-var-dims'>(time, mooring, Y, X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1316386f-e48f-4a9d-8fe8-43beab22e73e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1316386f-e48f-4a9d-8fe8-43beab22e73e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-845a6205-2371-4b5f-8ce8-9ea270d9bd92' class='xr-var-data-in' type='checkbox'><label for='data-845a6205-2371-4b5f-8ce8-9ea270d9bd92' 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> sea surf. height  [21.6H]</dd><dt><span>standard_name :</span></dt><dd>sea_surface_elevation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_range :</span></dt><dd>[-8.658242225646973, 4.758149147033691]</dd></dl></div><div class='xr-var-data'><pre>[652 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>S</span></div><div class='xr-var-dims'>(time, Z, mooring, Y, X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>33.38 33.38 33.35 ... nan nan nan</div><input id='attrs-98674d73-8a98-4ab5-8b88-6c3a95b0a951' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98674d73-8a98-4ab5-8b88-6c3a95b0a951' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-716573b0-77e6-4c4c-bfb9-595f43a04af3' class='xr-var-data-in' type='checkbox'><label for='data-716573b0-77e6-4c4c-bfb9-595f43a04af3' 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'><pre>array([[[[[33.377]],\n",
       "\n",
       "         [[33.381]],\n",
       "\n",
       "         [[33.347]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]]],\n",
       "\n",
       "\n",
       "        [[[33.378]],\n",
       "\n",
       "         [[33.382]],\n",
       "\n",
       "         [[33.348]],\n",
       "...\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]]],\n",
       "\n",
       "\n",
       "        [[[   nan]],\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Temp</span></div><div class='xr-var-dims'>(time, Z, mooring, Y, X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.53 20.56 20.47 ... nan nan nan</div><input id='attrs-c2602889-4e8c-4015-8215-93b5bf3f53ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2602889-4e8c-4015-8215-93b5bf3f53ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08e9dd7a-8135-4a5d-affb-4681ba10a664' class='xr-var-data-in' type='checkbox'><label for='data-08e9dd7a-8135-4a5d-affb-4681ba10a664' 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>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'><pre>array([[[[[20.53 ]],\n",
       "\n",
       "         [[20.557]],\n",
       "\n",
       "         [[20.472]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]]],\n",
       "\n",
       "\n",
       "        [[[20.396]],\n",
       "\n",
       "         [[20.423]],\n",
       "\n",
       "         [[20.34 ]],\n",
       "...\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]]],\n",
       "\n",
       "\n",
       "        [[[   nan]],\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]],\n",
       "\n",
       "         [[   nan]]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U</span></div><div class='xr-var-dims'>(time, Z, mooring, Y, X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b80280d-bb66-4d2e-b2cb-0eb51436c84c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b80280d-bb66-4d2e-b2cb-0eb51436c84c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff192d29-9775-408b-9801-4c689cb62786' class='xr-var-data-in' type='checkbox'><label for='data-ff192d29-9775-408b-9801-4c689cb62786' 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'><pre>[65200 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V</span></div><div class='xr-var-dims'>(time, Z, mooring, Y, X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad5bce2a-87be-47e2-9cc1-90a881bbbcd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad5bce2a-87be-47e2-9cc1-90a881bbbcd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b384bc0-78e3-4d4d-ba48-90ef95e50691' class='xr-var-data-in' type='checkbox'><label for='data-4b384bc0-78e3-4d4d-ba48-90ef95e50691' 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'><pre>[65200 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sigma0</span></div><div class='xr-var-dims'>(time, Z, mooring, Y, X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>23.39 23.38 23.38 ... nan nan nan</div><input id='attrs-e96fb800-e4ff-4c19-8d72-da7fad0ad756' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e96fb800-e4ff-4c19-8d72-da7fad0ad756' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a29e1a54-a020-4356-92ef-9dfb992797eb' class='xr-var-data-in' type='checkbox'><label for='data-a29e1a54-a020-4356-92ef-9dfb992797eb' 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>kg/m^3</dd><dt><span>long_name :</span></dt><dd>potential density anomaly</dd><dt><span>OceanSpy_parameters :</span></dt><dd>{&#x27;eq_state&#x27;: &#x27;jmd95&#x27;}</dd></dl></div><div class='xr-var-data'><pre>array([[[[[23.385864]],\n",
       "\n",
       "         [[23.381775]],\n",
       "\n",
       "         [[23.378479]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[      nan]],\n",
       "\n",
       "         [[      nan]],\n",
       "\n",
       "         [[      nan]]],\n",
       "\n",
       "\n",
       "        [[[23.42218 ]],\n",
       "\n",
       "         [[23.417969]],\n",
       "\n",
       "         [[23.414124]],\n",
       "...\n",
       "         [[      nan]],\n",
       "\n",
       "         [[      nan]],\n",
       "\n",
       "         [[      nan]]],\n",
       "\n",
       "\n",
       "        [[[      nan]],\n",
       "\n",
       "         [[      nan]],\n",
       "\n",
       "         [[      nan]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[      nan]],\n",
       "\n",
       "         [[      nan]],\n",
       "\n",
       "         [[      nan]]]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-23d2d59e-cdc7-4165-ad72-6d8f5b451884' class='xr-section-summary-in' type='checkbox'  ><label for='section-23d2d59e-cdc7-4165-ad72-6d8f5b451884' class='xr-section-summary' >Indexes: <span>(10)</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>Z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d6c55e71-0e14-44cf-8f42-5ad982a18cdb' class='xr-index-data-in' type='checkbox'/><label for='index-d6c55e71-0e14-44cf-8f42-5ad982a18cdb' 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(Float64Index([   -0.0,    -2.0,    -4.0,    -6.0,    -8.0,   -10.0,   -12.0,\n",
       "                -15.0,   -20.0,   -25.0,   -30.0,   -35.0,   -40.0,   -45.0,\n",
       "                -50.0,   -55.0,   -60.0,   -65.0,   -70.0,   -75.0,   -80.0,\n",
       "                -85.0,   -90.0,   -95.0,  -100.0,  -110.0,  -120.0,  -130.0,\n",
       "               -140.0,  -150.0,  -160.0,  -170.0,  -180.0,  -190.0,  -200.0,\n",
       "               -210.0,  -220.0,  -230.0,  -240.0,  -250.0,  -260.0,  -270.0,\n",
       "               -280.0,  -290.0,  -300.0,  -310.0,  -320.0,  -330.0,  -340.0,\n",
       "               -350.0,  -360.0,  -370.0,  -380.0,  -390.0,  -400.0,  -410.0,\n",
       "               -420.0,  -430.0,  -440.0,  -450.0,  -460.0,  -470.0,  -480.0,\n",
       "               -490.0,  -500.0,  -510.0,  -520.0,  -530.0,  -540.0,  -550.0,\n",
       "               -600.0,  -650.0,  -700.0,  -750.0,  -800.0,  -850.0,  -900.0,\n",
       "               -950.0, -1000.0, -1050.0, -1100.0, -1150.0, -1200.0, -1250.0,\n",
       "              -1300.0, -1350.0, -1400.0, -1450.0, -1500.0, -1750.0, -2000.0,\n",
       "              -2500.0, -3000.0, -3500.0, -4000.0, -4500.0, -5000.0, -5500.0,\n",
       "              -6000.0, -7000.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;Z&#x27;))</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-22af2bf8-df6a-4ddf-bffa-587e4711254a' class='xr-index-data-in' type='checkbox'/><label for='index-22af2bf8-df6a-4ddf-bffa-587e4711254a' 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;2019-10-01 12:00:00&#x27;, &#x27;2019-10-01 12:59:59.999999744&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>Zp1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b972d324-cb59-4b59-a033-af8a77c3f0cc' class='xr-index-data-in' type='checkbox'/><label for='index-b972d324-cb59-4b59-a033-af8a77c3f0cc' 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(Float64Index([    1.0,    -1.0,    -3.0,    -5.0,    -7.0,    -9.0,   -11.0,\n",
       "                -13.5,   -17.5,   -22.5,\n",
       "              ...\n",
       "              -2250.0, -2750.0, -3250.0, -3750.0, -4250.0, -4750.0, -5250.0,\n",
       "              -5750.0, -6500.0, -7500.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;Zp1&#x27;, length=101))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time_midp</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3b22a529-189f-40ce-8cc5-71068962d50c' class='xr-index-data-in' type='checkbox'/><label for='index-3b22a529-189f-40ce-8cc5-71068962d50c' 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;2019-10-01 12:29:59.999999872&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time_midp&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>mooring</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0955f5cb-e86e-4e19-bea5-b05a0a803e06' class='xr-index-data-in' type='checkbox'/><label for='index-0955f5cb-e86e-4e19-bea5-b05a0a803e06' 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(Int64Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "            ...\n",
       "            316, 317, 318, 319, 320, 321, 322, 323, 324, 325],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;mooring&#x27;, length=326))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>X</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dcfa1c60-8257-4c0c-b772-bd633ca96131' class='xr-index-data-in' type='checkbox'/><label for='index-dcfa1c60-8257-4c0c-b772-bd633ca96131' 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(Int64Index([0], dtype=&#x27;int64&#x27;, name=&#x27;X&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>Y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8a7d0064-8def-483e-8d58-fb983bf9a303' class='xr-index-data-in' type='checkbox'/><label for='index-8a7d0064-8def-483e-8d58-fb983bf9a303' 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(Int64Index([0], dtype=&#x27;int64&#x27;, name=&#x27;Y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>Xp1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-edf6b0c5-6350-4123-9497-a2fb852878ab' class='xr-index-data-in' type='checkbox'/><label for='index-edf6b0c5-6350-4123-9497-a2fb852878ab' 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(Int64Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;Xp1&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>Yp1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-91e152f7-49c2-4b30-99ca-0c7f3ee6bbe3' class='xr-index-data-in' type='checkbox'/><label for='index-91e152f7-49c2-4b30-99ca-0c7f3ee6bbe3' 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(Int64Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;Yp1&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>mooring_midp</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e601b1be-f147-4401-9682-d67313ad970d' class='xr-index-data-in' type='checkbox'/><label for='index-e601b1be-f147-4401-9682-d67313ad970d' 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(Float64Index([  0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,\n",
       "                9.5,\n",
       "              ...\n",
       "              315.5, 316.5, 317.5, 318.5, 319.5, 320.5, 321.5, 322.5, 323.5,\n",
       "              324.5],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;mooring_midp&#x27;, length=325))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9299c682-7a45-4440-a6a2-4a28f84677ed' class='xr-section-summary-in' type='checkbox'  ><label for='section-9299c682-7a45-4440-a6a2-4a28f84677ed' class='xr-section-summary' >Attributes: <span>(16)</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-1.0 NAVO_netcdf_v1.0</dd><dt><span>NCO :</span></dt><dd>&quot;4.5.2&quot;</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>Wed Oct  2 06:29:05 2019: ncks -d lon,-143.0,-115.0 -d lat,23.0,48.0 /p/work1/smedstad/hycom/GLBy0.04/expt_21.6/nowcast_2019100112/netcdf/GLBy0.04_216_2019100112_t0000_ts3z.nc /p/work1/smedstad/hycom/GLBy0.04/expt_21.6/nowcast_2019100112/netcdf/../cutoutnetcdf/GLBy0.04_216_2019100112_t0000_ts3z_pac.nc\n",
       "archv2ncdf3z</dd><dt><span>institution :</span></dt><dd>Naval Oceanographic Office</dd><dt><span>source :</span></dt><dd>HYCOM archive file</dd><dt><span>OceanSpy_grid_coords :</span></dt><dd>{&#x27;Y&#x27;: {&#x27;Y&#x27;: None, &#x27;Yp1&#x27;: 0.5}, &#x27;X&#x27;: {&#x27;X&#x27;: None, &#x27;Xp1&#x27;: 0.5}, &#x27;Z&#x27;: {&#x27;Z&#x27;: None, &#x27;Zp1&#x27;: 0.5}, &#x27;time&#x27;: {&#x27;time&#x27;: -0.5, &#x27;time_midp&#x27;: None}, &#x27;mooring&#x27;: {&#x27;mooring&#x27;: -0.5, &#x27;mooring_midp&#x27;: None}}</dd><dt><span>OceanSpy_name :</span></dt><dd>HyCOM dataset</dd><dt><span>OceanSpy_projection :</span></dt><dd>Mercator(**{})</dd><dt><span>OceanSpy_description :</span></dt><dd>Sample data (snapshots) off the Northern California Coast from a (1/25 deg) numerical simulation covering the California Coast using the HyCOM model. The original grid has 41 (isopycnal) layers but these files were interpolated to 101 vertical levels.</dd><dt><span>OceanSpy_aliases :</span></dt><dd>{&#x27;Temp&#x27;: &#x27;T&#x27;}</dd><dt><span>OceanSpy_grid_periodic :</span></dt><dd>[]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:            (time: 2, mooring: 326, Y: 1, X: 1, Z: 100, Zp1: 101,\n",
       "                        Yp1: 2, Xp1: 2, time_midp: 1, mooring_midp: 325)\n",
       "Coordinates: (12/21)\n",
       "  * Z                  (Z) float64 -0.0 -2.0 -4.0 ... -5.5e+03 -6e+03 -7e+03\n",
       "  * time               (time) datetime64[ns] 2019-10-01T12:00:00 2019-10-01T1...\n",
       "  * Zp1                (Zp1) float64 1.0 -1.0 -3.0 ... -6.5e+03 -7.5e+03\n",
       "    XC                 (mooring, Y, X) float64 -130.0 -130.0 ... -122.0 -122.0\n",
       "    YC                 (mooring, Y, X) float64 35.0 35.02 35.02 ... 37.5 37.5\n",
       "    XG                 (mooring, Yp1, Xp1) float64 -130.0 -130.0 ... -122.0\n",
       "    ...                 ...\n",
       "  * Y                  (Y) int64 0\n",
       "  * Xp1                (Xp1) int64 0 1\n",
       "  * Yp1                (Yp1) int64 0 1\n",
       "    mooring_dist       (mooring) float64 0.0 2.224 5.864 ... 989.6 991.8 995.3\n",
       "  * mooring_midp       (mooring_midp) float64 0.5 1.5 2.5 ... 322.5 323.5 324.5\n",
       "    mooring_midp_dist  (mooring_midp) float64 1.112 4.044 7.688 ... 990.7 993.5\n",
       "Data variables:\n",
       "    Eta                (time, mooring, Y, X) float32 ...\n",
       "    S                  (time, Z, mooring, Y, X) float32 33.38 33.38 ... nan nan\n",
       "    Temp               (time, Z, mooring, Y, X) float32 20.53 20.56 ... nan nan\n",
       "    U                  (time, Z, mooring, Y, X) float32 ...\n",
       "    V                  (time, Z, mooring, Y, X) float32 ...\n",
       "    Sigma0             (time, Z, mooring, Y, X) float32 23.39 23.38 ... nan nan\n",
       "Attributes: (12/16)\n",
       "    Conventions:               CF-1.0 NAVO_netcdf_v1.0\n",
       "    NCO:                       \"4.5.2\"\n",
       "    classification_authority:  not applicable\n",
       "    classification_level:      UNCLASSIFIED\n",
       "    distribution_statement:    Approved for public release. Distribution unli...\n",
       "    downgrade_date:            not applicable\n",
       "    ...                        ...\n",
       "    OceanSpy_grid_coords:      {'Y': {'Y': None, 'Yp1': 0.5}, 'X': {'X': None...\n",
       "    OceanSpy_name:             HyCOM dataset\n",
       "    OceanSpy_projection:       Mercator(**{})\n",
       "    OceanSpy_description:      Sample data (snapshots) off the Northern Calif...\n",
       "    OceanSpy_aliases:          {'Temp': 'T'}\n",
       "    OceanSpy_grid_periodic:    []"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "od_moor._ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T16:05:10.506322Z",
     "iopub.status.busy": "2023-06-21T16:05:10.504720Z",
     "iopub.status.idle": "2023-06-21T16:05:10.606401Z",
     "shell.execute_reply": "2023-06-21T16:05:10.604128Z",
     "shell.execute_reply.started": "2023-06-21T16:05:10.506260Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Computing Brunt-Väisälä Frequency using the following parameters: {'rho0': 1027, 'g': 9.81}.\n",
      "Computing gradient.\n"
     ]
    }
   ],
   "source": [
    "od_moor = od_moor.compute.Brunt_Vaisala_frequency()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-21T16:05:53.382098Z",
     "iopub.status.busy": "2023-06-21T16:05:53.381191Z",
     "iopub.status.idle": "2023-06-21T16:05:54.412810Z",
     "shell.execute_reply": "2023-06-21T16:05:54.410530Z",
     "shell.execute_reply.started": "2023-06-21T16:05:53.382035Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cutting out the oceandataset.\n",
      "Computing weighted_mean.\n",
      "Computing weighted_mean.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = od_moor.plot.vertical_section(\n",
    "    varName=\"N2\",\n",
    "    meanAxes=\"time\",\n",
    "    contourName='Sigma0',\n",
    "    robust=True,\n",
    "    cmap=\"nipy_spectral\",\n",
    "    cutout_kwargs={'ZRange': [0, -1000]},\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Oceanography",
   "language": "python",
   "name": "oceanography"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}