load_data_from_OSN.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import intake"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/json": "? ''\n: args:\n    path: catalog.yaml\n  description: ''\n  driver: intake.catalog.local.YAMLFileCatalog\n  metadata: {}\n",
      "text/plain": [
       "? ''\n",
       ": args:\n",
       "    path: catalog.yaml\n",
       "  description: ''\n",
       "  driver: intake.catalog.local.YAMLFileCatalog\n",
       "  metadata: {}\n"
      ]
     },
     "metadata": {
      "application/json": {
       "root": ""
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat = intake.open_catalog('catalog.yaml')\n",
    "cat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['neverworld_five_day_averages']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:     (nv: 2, time: 2000, xh: 240, xq: 241, yh: 560, yq: 561, zl: 15)\n",
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       "    CAv         (time, zl, yq, xh) float32 dask.array&lt;chunksize=(10, 15, 561, 240), meta=np.ndarray&gt;\n",
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       "    ShSt2       (time, zl, yq, xq) float32 dask.array&lt;chunksize=(10, 15, 561, 241), meta=np.ndarray&gt;\n",
       "    average_DT  (time) timedelta64[ns] dask.array&lt;chunksize=(2000,), meta=np.ndarray&gt;\n",
       "    average_T1  (time) object dask.array&lt;chunksize=(2000,), meta=np.ndarray&gt;\n",
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       "    dvdt        (time, zl, yq, xh) float32 dask.array&lt;chunksize=(10, 15, 561, 240), meta=np.ndarray&gt;\n",
       "    h           (time, zl, yh, xh) float32 dask.array&lt;chunksize=(10, 15, 560, 240), meta=np.ndarray&gt;\n",
       "    time_bnds   (time, nv) timedelta64[ns] dask.array&lt;chunksize=(2000, 2), meta=np.ndarray&gt;\n",
       "    u           (time, zl, yh, xq) float32 dask.array&lt;chunksize=(10, 15, 560, 241), meta=np.ndarray&gt;\n",
       "    uh          (time, zl, yh, xq) float32 dask.array&lt;chunksize=(10, 15, 560, 241), meta=np.ndarray&gt;\n",
       "    v           (time, zl, yq, xh) float32 dask.array&lt;chunksize=(10, 15, 561, 240), meta=np.ndarray&gt;\n",
       "    vh          (time, zl, yq, xh) float32 dask.array&lt;chunksize=(10, 15, 561, 240), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    associated_files:  area_t: static.nc\n",
       "    filename:          averages_00000002.nc\n",
       "    grid_tile:         N/A\n",
       "    grid_type:         regular\n",
       "    title:             NeverWorld2</pre><div class='xr-wrap' hidden><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-b15308b2-288d-4255-87dd-fba6ae584ac6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b15308b2-288d-4255-87dd-fba6ae584ac6' 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'>nv</span>: 2</li><li><span class='xr-has-index'>time</span>: 2000</li><li><span class='xr-has-index'>xh</span>: 240</li><li><span class='xr-has-index'>xq</span>: 241</li><li><span class='xr-has-index'>yh</span>: 560</li><li><span class='xr-has-index'>yq</span>: 561</li><li><span class='xr-has-index'>zl</span>: 15</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7024252a-3fe4-4d92-b207-cf74f01d76ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7024252a-3fe4-4d92-b207-cf74f01d76ca' class='xr-section-summary' >Coordinates: <span>(7)</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'>nv</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-381bec59-c9ea-4539-8628-fca9fa40ab17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-381bec59-c9ea-4539-8628-fca9fa40ab17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56e26f97-cf2b-45c7-ae57-79114f489ad7' class='xr-var-data-in' type='checkbox'><label for='data-56e26f97-cf2b-45c7-ae57-79114f489ad7' 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>cartesian_axis :</span></dt><dd>N</dd><dt><span>long_name :</span></dt><dd>vertex number</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</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'>object</div><div class='xr-var-preview xr-preview'>0001-01-03 12:00:00 ... 0028-10-...</div><input id='attrs-80baa284-4afb-4274-8d18-487c67026936' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80baa284-4afb-4274-8d18-487c67026936' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a40ded2d-f55e-43ad-ab15-71e1cfb3cd19' class='xr-var-data-in' type='checkbox'><label for='data-a40ded2d-f55e-43ad-ab15-71e1cfb3cd19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>calendar_type :</span></dt><dd>THIRTY_DAY_MONTHS</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.Datetime360Day(1, 1, 3, 12, 0, 0, 0),\n",
       "       cftime.Datetime360Day(1, 1, 8, 12, 0, 0, 0),\n",
       "       cftime.Datetime360Day(1, 1, 13, 12, 0, 0, 0), ...,\n",
       "       cftime.Datetime360Day(28, 9, 28, 12, 0, 0, 0),\n",
       "       cftime.Datetime360Day(28, 10, 3, 12, 0, 0, 0),\n",
       "       cftime.Datetime360Day(28, 10, 8, 12, 0, 0, 0)], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xh</span></div><div class='xr-var-dims'>(xh)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 59.62 59.88</div><input id='attrs-124aec2c-44c1-482e-aa63-b0d3739cedf6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-124aec2c-44c1-482e-aa63-b0d3739cedf6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf3043be-d392-4f30-860e-7d62989caf91' class='xr-var-data-in' type='checkbox'><label for='data-bf3043be-d392-4f30-860e-7d62989caf91' 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>cartesian_axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>h point nominal longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([ 0.125,  0.375,  0.625, ..., 59.375, 59.625, 59.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xq</span></div><div class='xr-var-dims'>(xq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 59.5 59.75 60.0</div><input id='attrs-700f6e47-c19d-4b6f-b48b-522c1a999ed0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-700f6e47-c19d-4b6f-b48b-522c1a999ed0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1f3befc-7cad-4309-a950-081b5f582107' class='xr-var-data-in' type='checkbox'><label for='data-c1f3befc-7cad-4309-a950-081b5f582107' 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>cartesian_axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>q point nominal longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([ 0.  ,  0.25,  0.5 , ..., 59.5 , 59.75, 60.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yh</span></div><div class='xr-var-dims'>(yh)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-69.88 -69.62 ... 69.62 69.88</div><input id='attrs-1c6b63e5-2f09-41f4-8129-250f236b4e0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c6b63e5-2f09-41f4-8129-250f236b4e0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-102933ce-2b66-4da4-970b-35cffde407be' class='xr-var-data-in' type='checkbox'><label for='data-102933ce-2b66-4da4-970b-35cffde407be' 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>cartesian_axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>h point nominal latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-69.875, -69.625, -69.375, ...,  69.375,  69.625,  69.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yq</span></div><div class='xr-var-dims'>(yq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-70.0 -69.75 -69.5 ... 69.75 70.0</div><input id='attrs-ccdb6df8-af09-4bd0-9611-e9b477223263' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccdb6df8-af09-4bd0-9611-e9b477223263' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69c24017-d029-4911-900b-a15144f7c209' class='xr-var-data-in' type='checkbox'><label for='data-69c24017-d029-4911-900b-a15144f7c209' 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>cartesian_axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>q point nominal latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-70.  , -69.75, -69.5 , ...,  69.5 ,  69.75,  70.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>zl</span></div><div class='xr-var-dims'>(zl)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.023e+03 1.023e+03 ... 1.028e+03</div><input id='attrs-7e9b5d81-e166-4db6-bdf1-91b02adf3d24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e9b5d81-e166-4db6-bdf1-91b02adf3d24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86cc6e50-f806-4810-8fb7-8375661a16c3' class='xr-var-data-in' type='checkbox'><label for='data-86cc6e50-f806-4810-8fb7-8375661a16c3' 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>cartesian_axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>Layer Target Potential Density</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>units :</span></dt><dd>kg m-3</dd></dl></div><div class='xr-var-data'><pre>array([1022.6 , 1022.81, 1023.2 , 1023.74, 1024.32, 1024.9 , 1025.47, 1026.  ,\n",
       "       1026.48, 1026.9 , 1027.27, 1027.58, 1027.82, 1027.99, 1028.1 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb66b378-d1e3-4c2a-8f50-bbd9fa0fc82c' class='xr-section-summary-in' type='checkbox'  ><label for='section-cb66b378-d1e3-4c2a-8f50-bbd9fa0fc82c' class='xr-section-summary' >Data variables: <span>(19)</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>CAu</span></div><div class='xr-var-dims'>(time, zl, yh, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 560, 241), meta=np.ndarray&gt;</div><input id='attrs-9eb953de-6637-4264-8492-917c6e93dfd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9eb953de-6637-4264-8492-917c6e93dfd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68e32d77-7dcb-4b67-8cf6-05e5f939a772' class='xr-var-data-in' type='checkbox'><label for='data-68e32d77-7dcb-4b67-8cf6-05e5f939a772' 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>cell_methods :</span></dt><dd>zl:mean yh:mean xq:point time: mean</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>Zonal Coriolis and Advective Acceleration</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m s-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 16.20 GB </td> <td> 80.98 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (2000, 15, 560, 241) </td> <td> (10, 15, 560, 241) </td></tr>\n",
       "    <tr><th> Count </th><td> 201 Tasks </td><td> 200 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CAv</span></div><div class='xr-var-dims'>(time, zl, yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 561, 240), meta=np.ndarray&gt;</div><input id='attrs-51b04d7b-1596-4fbe-8a31-8fb349b979b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51b04d7b-1596-4fbe-8a31-8fb349b979b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-504211e2-a19d-487a-8b53-22a6ccbc6a52' class='xr-var-data-in' type='checkbox'><label for='data-504211e2-a19d-487a-8b53-22a6ccbc6a52' 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>cell_methods :</span></dt><dd>zl:mean yq:point xh:mean time: mean</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>Meridional Coriolis and Advective Acceleration</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m s-2</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NoSt2</span></div><div class='xr-var-dims'>(time, zl, yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 560, 240), meta=np.ndarray&gt;</div><input id='attrs-739317fe-e52b-491b-a8f9-314d09acad3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-739317fe-e52b-491b-a8f9-314d09acad3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9e4e932-144e-4c6c-b49b-a54cfc759359' class='xr-var-data-in' type='checkbox'><label for='data-b9e4e932-144e-4c6c-b49b-a54cfc759359' 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>cell_measures :</span></dt><dd>area: area_t</dd><dt><span>cell_methods :</span></dt><dd>area:mean zl:mean yh:mean xh:mean time: mean_pow(2)</dd><dt><span>long_name :</span></dt><dd>Normal Stress</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "    <tr><th> Bytes </th><td> 16.13 GB </td> <td> 80.64 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (2000, 15, 560, 240) </td> <td> (10, 15, 560, 240) </td></tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PFu</span></div><div class='xr-var-dims'>(time, zl, yh, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 560, 241), meta=np.ndarray&gt;</div><input id='attrs-16587aa3-cfdf-49ae-9f8f-c30b9d9b5ddd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16587aa3-cfdf-49ae-9f8f-c30b9d9b5ddd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-075d9eeb-1f8d-481f-945a-f7f5ea071edb' class='xr-var-data-in' type='checkbox'><label for='data-075d9eeb-1f8d-481f-945a-f7f5ea071edb' 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>cell_methods :</span></dt><dd>zl:mean yh:mean xq:point time: mean</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>Zonal Pressure Force Acceleration</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m s-2</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PFv</span></div><div class='xr-var-dims'>(time, zl, yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 561, 240), meta=np.ndarray&gt;</div><input id='attrs-d9704de0-c57c-47c6-b36a-4ae308088c72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9704de0-c57c-47c6-b36a-4ae308088c72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-839119bc-af56-4d21-b27e-d5bcd26b8378' class='xr-var-data-in' type='checkbox'><label for='data-839119bc-af56-4d21-b27e-d5bcd26b8378' 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>cell_methods :</span></dt><dd>zl:mean yq:point xh:mean time: mean</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>Meridional Pressure Force Acceleration</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m s-2</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RV2</span></div><div class='xr-var-dims'>(time, zl, yq, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 561, 241), meta=np.ndarray&gt;</div><input id='attrs-c3282027-5fa1-48fe-a2b8-bd458a08aecf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3282027-5fa1-48fe-a2b8-bd458a08aecf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2381d674-4b6d-4d64-b0d9-20748c1d4c7f' class='xr-var-data-in' type='checkbox'><label for='data-2381d674-4b6d-4d64-b0d9-20748c1d4c7f' 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>cell_methods :</span></dt><dd>zl:mean yq:point xq:point time: mean_pow(2)</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>Relative Vorticity</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ShSt2</span></div><div class='xr-var-dims'>(time, zl, yq, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 561, 241), meta=np.ndarray&gt;</div><input id='attrs-dfb42dbd-2749-45bd-8889-189e8cf0d4cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfb42dbd-2749-45bd-8889-189e8cf0d4cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dc96f57-e951-46a0-bcb1-53515d5606f4' class='xr-var-data-in' type='checkbox'><label for='data-2dc96f57-e951-46a0-bcb1-53515d5606f4' 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>cell_methods :</span></dt><dd>zl:mean yq:point xq:point time: mean_pow(2)</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>Shear Stress</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_DT</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2000,), meta=np.ndarray&gt;</div><input id='attrs-bc8395ef-127a-430c-963f-f834962b3671' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc8395ef-127a-430c-963f-f834962b3671' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0aba9d2c-4204-43c8-96dc-0cda183d56ae' class='xr-var-data-in' type='checkbox'><label for='data-0aba9d2c-4204-43c8-96dc-0cda183d56ae' 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>calendar :</span></dt><dd>360_day</dd><dt><span>long_name :</span></dt><dd>Length of average period</dd></dl></div><div class='xr-var-data'><table>\n",
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       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> timedelta64[ns] </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_T1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2000,), meta=np.ndarray&gt;</div><input id='attrs-428608b4-153f-4edd-95db-5b8e6fcfa037' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-428608b4-153f-4edd-95db-5b8e6fcfa037' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14dfdef4-5097-40ac-8149-fc29fc9bfedc' class='xr-var-data-in' type='checkbox'><label for='data-14dfdef4-5097-40ac-8149-fc29fc9bfedc' 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>Start time for average period</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
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       "  <tbody>\n",
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       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> object </td><td> numpy.ndarray </td></tr>\n",
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       "  <tbody>\n",
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       "    <tr><th> Shape </th><td> (2000,) </td> <td> (2000,) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> object </td><td> numpy.ndarray </td></tr>\n",
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       "</table>\n",
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       "<td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dudt</span></div><div class='xr-var-dims'>(time, zl, yh, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 560, 241), meta=np.ndarray&gt;</div><input id='attrs-7f869087-ff1f-4b9f-9b69-36ca3b7ed40f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f869087-ff1f-4b9f-9b69-36ca3b7ed40f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b262133-3fb5-4b2e-a7e1-94eda5e640bc' class='xr-var-data-in' type='checkbox'><label for='data-9b262133-3fb5-4b2e-a7e1-94eda5e640bc' 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>cell_methods :</span></dt><dd>zl:mean yh:mean xq:point time: mean</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>Zonal Acceleration</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m s-2</dd></dl></div><div class='xr-var-data'><table>\n",
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       "  <tbody>\n",
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       "    <tr><th> Count </th><td> 201 Tasks </td><td> 200 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dvdt</span></div><div class='xr-var-dims'>(time, zl, yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 561, 240), meta=np.ndarray&gt;</div><input id='attrs-f0a5ebd2-cfbe-4126-9ed5-2cef19f70f1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0a5ebd2-cfbe-4126-9ed5-2cef19f70f1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c8fe891-08d3-401c-89ff-fd3b30158c06' class='xr-var-data-in' type='checkbox'><label for='data-1c8fe891-08d3-401c-89ff-fd3b30158c06' 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>cell_methods :</span></dt><dd>zl:mean yq:point xh:mean time: mean</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>Meridional Acceleration</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m s-2</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>(time, zl, yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 560, 240), meta=np.ndarray&gt;</div><input id='attrs-7297f0ff-50a1-4fe3-9205-41afd01d0097' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7297f0ff-50a1-4fe3-9205-41afd01d0097' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3a1ecaa-0e08-4983-9c05-1b52c9b73be5' class='xr-var-data-in' type='checkbox'><label for='data-f3a1ecaa-0e08-4983-9c05-1b52c9b73be5' 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>cell_measures :</span></dt><dd>area: area_t</dd><dt><span>cell_methods :</span></dt><dd>area:mean zl:sum yh:mean xh:mean time: mean</dd><dt><span>long_name :</span></dt><dd>Layer Thickness</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2000, 2), meta=np.ndarray&gt;</div><input id='attrs-6bf22907-b849-40df-b55f-cdf91236c72e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bf22907-b849-40df-b55f-cdf91236c72e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46e9130c-08b3-4e75-b9d6-2300a7a1c79c' class='xr-var-data-in' type='checkbox'><label for='data-46e9130c-08b3-4e75-b9d6-2300a7a1c79c' 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>calendar :</span></dt><dd>360_day</dd><dt><span>long_name :</span></dt><dd>time axis boundaries</dd></dl></div><div class='xr-var-data'><table>\n",
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       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> timedelta64[ns] </td><td> numpy.ndarray </td></tr>\n",
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       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(time, zl, yh, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 560, 241), meta=np.ndarray&gt;</div><input id='attrs-0f782d26-872f-40d3-9b40-d35082d9a210' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f782d26-872f-40d3-9b40-d35082d9a210' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd97b56e-2e44-4c6c-a1b6-c42001f8bd7f' class='xr-var-data-in' type='checkbox'><label for='data-cd97b56e-2e44-4c6c-a1b6-c42001f8bd7f' 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>cell_methods :</span></dt><dd>zl:mean yh:mean xq:point time: mean</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>Zonal velocity</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(time, zl, yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 561, 240), meta=np.ndarray&gt;</div><input id='attrs-f58ae32b-e8f6-4b37-894b-41c3b8a10c8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f58ae32b-e8f6-4b37-894b-41c3b8a10c8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-140b566b-b0ae-4ac2-8f85-98bfa61301fc' class='xr-var-data-in' type='checkbox'><label for='data-140b566b-b0ae-4ac2-8f85-98bfa61301fc' 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>cell_methods :</span></dt><dd>zl:mean yq:point xh:mean time: mean</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>Meridional velocity</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vh</span></div><div class='xr-var-dims'>(time, zl, yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 15, 561, 240), meta=np.ndarray&gt;</div><input id='attrs-edd5c087-c4e9-4ba3-a64b-111f4ed67cb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edd5c087-c4e9-4ba3-a64b-111f4ed67cb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81a17f06-9b27-495a-ad31-8947478c3dfa' class='xr-var-data-in' type='checkbox'><label for='data-81a17f06-9b27-495a-ad31-8947478c3dfa' 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>cell_methods :</span></dt><dd>zl:sum yq:point xh:sum time: mean</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>Meridional Thickness Flux</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m3 s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "ds = cat['neverworld_five_day_averages'].to_dask()\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;h&#x27; (zl: 15, yh: 560, xh: 240)&gt;\n",
       "dask.array&lt;mean_agg-aggregate, shape=(15, 560, 240), dtype=float32, chunksize=(15, 560, 240), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
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       "  * zl       (zl) float64 1.023e+03 1.023e+03 1.023e+03 ... 1.028e+03 1.028e+03</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'h'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>zl</span>: 15</li><li><span class='xr-has-index'>yh</span>: 560</li><li><span class='xr-has-index'>xh</span>: 240</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f5fcc902-7d13-44c7-b234-301f5667827a' class='xr-array-in' type='checkbox' checked><label for='section-f5fcc902-7d13-44c7-b234-301f5667827a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(15, 560, 240), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-ac6b77f5-3b5e-40d5-97d4-75914f465919' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ac6b77f5-3b5e-40d5-97d4-75914f465919' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xh</span></div><div class='xr-var-dims'>(xh)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 59.62 59.88</div><input id='attrs-afd95f0a-1d0d-4669-9375-6a146d6b40c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afd95f0a-1d0d-4669-9375-6a146d6b40c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1f2b629-4c5e-4e82-aceb-0a5860a4b9bd' class='xr-var-data-in' type='checkbox'><label for='data-b1f2b629-4c5e-4e82-aceb-0a5860a4b9bd' 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>cartesian_axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>h point nominal longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([ 0.125,  0.375,  0.625, ..., 59.375, 59.625, 59.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yh</span></div><div class='xr-var-dims'>(yh)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-69.88 -69.62 ... 69.62 69.88</div><input id='attrs-b0872f6a-943e-49d6-afd0-e7263f0f819a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0872f6a-943e-49d6-afd0-e7263f0f819a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9afe324e-10cf-4573-bb49-c2cda8af9b16' class='xr-var-data-in' type='checkbox'><label for='data-9afe324e-10cf-4573-bb49-c2cda8af9b16' 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>cartesian_axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>h point nominal latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-69.875, -69.625, -69.375, ...,  69.375,  69.625,  69.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>zl</span></div><div class='xr-var-dims'>(zl)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.023e+03 1.023e+03 ... 1.028e+03</div><input id='attrs-e86eace0-338b-4b56-9d46-5342befd373a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e86eace0-338b-4b56-9d46-5342befd373a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33eed565-ed62-4b64-b51d-64275c6005e2' class='xr-var-data-in' type='checkbox'><label for='data-33eed565-ed62-4b64-b51d-64275c6005e2' 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>cartesian_axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>Layer Target Potential Density</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>units :</span></dt><dd>kg m-3</dd></dl></div><div class='xr-var-data'><pre>array([1022.6 , 1022.81, 1023.2 , 1023.74, 1024.32, 1024.9 , 1025.47, 1026.  ,\n",
       "       1026.48, 1026.9 , 1027.27, 1027.58, 1027.82, 1027.99, 1028.1 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e320f47-78c3-46cb-8679-db74ec08d79d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7e320f47-78c3-46cb-8679-db74ec08d79d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'h' (zl: 15, yh: 560, xh: 240)>\n",
       "dask.array<mean_agg-aggregate, shape=(15, 560, 240), dtype=float32, chunksize=(15, 560, 240), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * xh       (xh) float64 0.125 0.375 0.625 0.875 ... 59.12 59.38 59.62 59.88\n",
       "  * yh       (yh) float64 -69.88 -69.62 -69.38 -69.12 ... 69.38 69.62 69.88\n",
       "  * zl       (zl) float64 1.023e+03 1.023e+03 1.023e+03 ... 1.028e+03 1.028e+03"
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     "execution_count": 8,
     "metadata": {},
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   "source": [
    "h_mean = ds.h.mean(dim='time')\n",
    "h_mean"
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  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1min 5s, sys: 43.8 s, total: 1min 48s\n",
      "Wall time: 1min 51s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.7/site-packages/dask/array/numpy_compat.py:41: RuntimeWarning: invalid value encountered in true_divide\n",
      "  x = np.divide(x1, x2, out)\n"
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       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * xh       (xh) float64 0.125 0.375 0.625 0.875 ... 59.12 59.38 59.62 59.88\n",
       "  * yh       (yh) float64 -69.88 -69.62 -69.38 -69.12 ... 69.38 69.62 69.88\n",
       "  * zl       (zl) float64 1.023e+03 1.023e+03 1.023e+03 ... 1.028e+03 1.028e+03</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'h'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>zl</span>: 15</li><li><span class='xr-has-index'>yh</span>: 560</li><li><span class='xr-has-index'>xh</span>: 240</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-af0aa40c-9fde-4e36-b008-1c9648aa576b' class='xr-array-in' type='checkbox' checked><label for='section-af0aa40c-9fde-4e36-b008-1c9648aa576b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-5bdc1301-8f51-4c0e-b4d5-8c0e4cc99d04' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5bdc1301-8f51-4c0e-b4d5-8c0e4cc99d04' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xh</span></div><div class='xr-var-dims'>(xh)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 59.62 59.88</div><input id='attrs-0ac31dcd-5281-47e4-919a-0d9fe09f3591' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ac31dcd-5281-47e4-919a-0d9fe09f3591' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ce6a469-61a2-490b-96cd-06b8248ee489' class='xr-var-data-in' type='checkbox'><label for='data-1ce6a469-61a2-490b-96cd-06b8248ee489' 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>cartesian_axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>h point nominal longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([ 0.125,  0.375,  0.625, ..., 59.375, 59.625, 59.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yh</span></div><div class='xr-var-dims'>(yh)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-69.88 -69.62 ... 69.62 69.88</div><input id='attrs-01f61231-19a6-4480-a75c-aa3ce4729288' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01f61231-19a6-4480-a75c-aa3ce4729288' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6cda359-5e9b-4dbf-9b30-7396b6764075' class='xr-var-data-in' type='checkbox'><label for='data-b6cda359-5e9b-4dbf-9b30-7396b6764075' 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>cartesian_axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>h point nominal latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-69.875, -69.625, -69.375, ...,  69.375,  69.625,  69.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>zl</span></div><div class='xr-var-dims'>(zl)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.023e+03 1.023e+03 ... 1.028e+03</div><input id='attrs-356f41f6-363d-4c9e-811f-4ef4d4e9c2fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-356f41f6-363d-4c9e-811f-4ef4d4e9c2fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c240508-eb34-42f2-a7f6-ce1424c49e37' class='xr-var-data-in' type='checkbox'><label for='data-4c240508-eb34-42f2-a7f6-ce1424c49e37' 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>cartesian_axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>Layer Target Potential Density</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>units :</span></dt><dd>kg m-3</dd></dl></div><div class='xr-var-data'><pre>array([1022.6 , 1022.81, 1023.2 , 1023.74, 1024.32, 1024.9 , 1025.47, 1026.  ,\n",
       "       1026.48, 1026.9 , 1027.27, 1027.58, 1027.82, 1027.99, 1028.1 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e597d6e-4084-49b2-beed-2e4170a709f7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7e597d6e-4084-49b2-beed-2e4170a709f7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'h' (zl: 15, yh: 560, xh: 240)>\n",
       "array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * xh       (xh) float64 0.125 0.375 0.625 0.875 ... 59.12 59.38 59.62 59.88\n",
       "  * yh       (yh) float64 -69.88 -69.62 -69.38 -69.12 ... 69.38 69.62 69.88\n",
       "  * zl       (zl) float64 1.023e+03 1.023e+03 1.023e+03 ... 1.028e+03 1.028e+03"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time h_mean.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.7/site-packages/xarray/core/nanops.py:142: RuntimeWarning: Mean of empty slice\n",
      "  return np.nanmean(a, axis=axis, dtype=dtype)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f3d10c79450>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "h_mean.mean(dim='xh').plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}