calculate_S2S_abs_vort.ipynb

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    "# calculate absolute vorticity from S2S data\n",
    "## for use of calculating TC genesis potential index"
   ]
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  {
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   "execution_count": 1,
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   "source": [
    "from datetime import datetime\n",
    "\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "import matplotlib.gridspec as gridspec\n",
    "import matplotlib.pylab as plt\n",
    "import metpy.calc as mpcalc\n",
    "from metpy.units import units\n",
    "from netCDF4 import num2date\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import dask"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
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       "Dimensions:  (lat: 181, lon: 360, member: 10, month: 12)\n",
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       "  * lat      (lat) float32 -90.0 -89.0 -88.0 -87.0 -86.0 ... 87.0 88.0 89.0 90.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * member   (member) int64 0 1 2 3 4 5 6 7 8 9\n",
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       "Data variables:\n",
       "    ua_850   (month, member, lat, lon) float32 ...</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-1f8c7c77-bbd8-4ad5-8adc-fe7611a36e06' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1f8c7c77-bbd8-4ad5-8adc-fe7611a36e06' 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'>lat</span>: 181</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>member</span>: 10</li><li><span class='xr-has-index'>month</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5a3aa1d0-3fda-4e6d-b2b6-8aa6bb334b66' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5a3aa1d0-3fda-4e6d-b2b6-8aa6bb334b66' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -88.0 ... 89.0 90.0</div><input id='attrs-0949882a-6f2b-41e4-b796-e660089ebe2e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0949882a-6f2b-41e4-b796-e660089ebe2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af97bb26-84eb-49ec-81fb-66e4087aa941' class='xr-var-data-in' type='checkbox'><label for='data-af97bb26-84eb-49ec-81fb-66e4087aa941' 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([-90., -89., -88., -87., -86., -85., -84., -83., -82., -81., -80., -79.,\n",
       "       -78., -77., -76., -75., -74., -73., -72., -71., -70., -69., -68., -67.,\n",
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       "       -54., -53., -52., -51., -50., -49., -48., -47., -46., -45., -44., -43.,\n",
       "       -42., -41., -40., -39., -38., -37., -36., -35., -34., -33., -32., -31.,\n",
       "       -30., -29., -28., -27., -26., -25., -24., -23., -22., -21., -20., -19.,\n",
       "       -18., -17., -16., -15., -14., -13., -12., -11., -10.,  -9.,  -8.,  -7.,\n",
       "        -6.,  -5.,  -4.,  -3.,  -2.,  -1.,   0.,   1.,   2.,   3.,   4.,   5.,\n",
       "         6.,   7.,   8.,   9.,  10.,  11.,  12.,  13.,  14.,  15.,  16.,  17.,\n",
       "        18.,  19.,  20.,  21.,  22.,  23.,  24.,  25.,  26.,  27.,  28.,  29.,\n",
       "        30.,  31.,  32.,  33.,  34.,  35.,  36.,  37.,  38.,  39.,  40.,  41.,\n",
       "        42.,  43.,  44.,  45.,  46.,  47.,  48.,  49.,  50.,  51.,  52.,  53.,\n",
       "        54.,  55.,  56.,  57.,  58.,  59.,  60.,  61.,  62.,  63.,  64.,  65.,\n",
       "        66.,  67.,  68.,  69.,  70.,  71.,  72.,  73.,  74.,  75.,  76.,  77.,\n",
       "        78.,  79.,  80.,  81.,  82.,  83.,  84.,  85.,  86.,  87.,  88.,  89.,\n",
       "        90.], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 357.0 358.0 359.0</div><input id='attrs-596ce330-b8b5-4ac9-bbbd-a572f30441b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-596ce330-b8b5-4ac9-bbbd-a572f30441b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b38ea0a-22d3-4df3-a4fa-a89b0c6343e1' class='xr-var-data-in' type='checkbox'><label for='data-6b38ea0a-22d3-4df3-a4fa-a89b0c6343e1' 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([  0.,   1.,   2., ..., 357., 358., 359.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>member</span></div><div class='xr-var-dims'>(member)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-7e840b86-7804-4c47-a76b-240215ca0a2a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e840b86-7804-4c47-a76b-240215ca0a2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ba49fdd-4569-4933-bd0d-c6485536c1d2' class='xr-var-data-in' type='checkbox'><label for='data-3ba49fdd-4569-4933-bd0d-c6485536c1d2' 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([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-7fc15622-5f67-46d7-89c2-a938e411f4c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7fc15622-5f67-46d7-89c2-a938e411f4c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-531d9638-1f81-489f-8888-b3a09e8b67d3' class='xr-var-data-in' type='checkbox'><label for='data-531d9638-1f81-489f-8888-b3a09e8b67d3' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f28f2c6-24f9-4362-980f-4f1afb6a8c02' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f28f2c6-24f9-4362-980f-4f1afb6a8c02' class='xr-section-summary' >Data variables: <span>(1)</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>ua_850</span></div><div class='xr-var-dims'>(month, member, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c8e28720-d7ef-4c23-b6fb-0b8db2c5faec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c8e28720-d7ef-4c23-b6fb-0b8db2c5faec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95830731-384c-4ce9-8c1b-04da729a0cd0' class='xr-var-data-in' type='checkbox'><label for='data-95830731-384c-4ce9-8c1b-04da729a0cd0' 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>[7819200 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c2de110-ee3c-4fdf-9704-3bf58e08f275' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8c2de110-ee3c-4fdf-9704-3bf58e08f275' 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.Dataset>\n",
       "Dimensions:  (lat: 181, lon: 360, member: 10, month: 12)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.0 -88.0 -87.0 -86.0 ... 87.0 88.0 89.0 90.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * member   (member) int64 0 1 2 3 4 5 6 7 8 9\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    ua_850   (month, member, lat, lon) float32 ..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsu = xr.open_dataset('/glade/scratch/huili7/S2S_data/S2S_ua850_week2_monclim.nc')\n",
    "dsu"
   ]
  },
  {
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   "execution_count": 4,
   "id": "30a03ee7-e5e2-49c9-b644-c91d1197e56a",
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   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 181, lon: 360, member: 10, month: 12)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.0 -88.0 -87.0 -86.0 ... 87.0 88.0 89.0 90.0\n",
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       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    va_850   (month, member, lat, lon) float32 ...</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-34a0a44d-10c3-4eeb-b202-a1a3eaa7b6cf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-34a0a44d-10c3-4eeb-b202-a1a3eaa7b6cf' 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'>lat</span>: 181</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>member</span>: 10</li><li><span class='xr-has-index'>month</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-21d74aee-7cfe-48a0-a5b0-b04b604440a3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-21d74aee-7cfe-48a0-a5b0-b04b604440a3' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -88.0 ... 89.0 90.0</div><input id='attrs-2d9ae3c3-8941-4147-9ae3-38fbd4578d1d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d9ae3c3-8941-4147-9ae3-38fbd4578d1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3363625f-9bdc-4381-a0c4-69fd811be71b' class='xr-var-data-in' type='checkbox'><label for='data-3363625f-9bdc-4381-a0c4-69fd811be71b' 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([-90., -89., -88., -87., -86., -85., -84., -83., -82., -81., -80., -79.,\n",
       "       -78., -77., -76., -75., -74., -73., -72., -71., -70., -69., -68., -67.,\n",
       "       -66., -65., -64., -63., -62., -61., -60., -59., -58., -57., -56., -55.,\n",
       "       -54., -53., -52., -51., -50., -49., -48., -47., -46., -45., -44., -43.,\n",
       "       -42., -41., -40., -39., -38., -37., -36., -35., -34., -33., -32., -31.,\n",
       "       -30., -29., -28., -27., -26., -25., -24., -23., -22., -21., -20., -19.,\n",
       "       -18., -17., -16., -15., -14., -13., -12., -11., -10.,  -9.,  -8.,  -7.,\n",
       "        -6.,  -5.,  -4.,  -3.,  -2.,  -1.,   0.,   1.,   2.,   3.,   4.,   5.,\n",
       "         6.,   7.,   8.,   9.,  10.,  11.,  12.,  13.,  14.,  15.,  16.,  17.,\n",
       "        18.,  19.,  20.,  21.,  22.,  23.,  24.,  25.,  26.,  27.,  28.,  29.,\n",
       "        30.,  31.,  32.,  33.,  34.,  35.,  36.,  37.,  38.,  39.,  40.,  41.,\n",
       "        42.,  43.,  44.,  45.,  46.,  47.,  48.,  49.,  50.,  51.,  52.,  53.,\n",
       "        54.,  55.,  56.,  57.,  58.,  59.,  60.,  61.,  62.,  63.,  64.,  65.,\n",
       "        66.,  67.,  68.,  69.,  70.,  71.,  72.,  73.,  74.,  75.,  76.,  77.,\n",
       "        78.,  79.,  80.,  81.,  82.,  83.,  84.,  85.,  86.,  87.,  88.,  89.,\n",
       "        90.], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 357.0 358.0 359.0</div><input id='attrs-0d3960cb-0b7c-4bc6-8295-cd546862a3fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d3960cb-0b7c-4bc6-8295-cd546862a3fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae81678f-5cea-4c57-ac61-b9eb00dc4b52' class='xr-var-data-in' type='checkbox'><label for='data-ae81678f-5cea-4c57-ac61-b9eb00dc4b52' 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([  0.,   1.,   2., ..., 357., 358., 359.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>member</span></div><div class='xr-var-dims'>(member)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-672a1a8b-fd19-4b73-a777-b961e67e6257' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-672a1a8b-fd19-4b73-a777-b961e67e6257' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1f07b6d-f6c3-4e0c-ad7a-3c16d021487a' class='xr-var-data-in' type='checkbox'><label for='data-b1f07b6d-f6c3-4e0c-ad7a-3c16d021487a' 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([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-0f99125f-35eb-457a-b670-d87c4bff56fb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f99125f-35eb-457a-b670-d87c4bff56fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc17aafc-3761-43c3-95d3-c08cd7a734a0' class='xr-var-data-in' type='checkbox'><label for='data-bc17aafc-3761-43c3-95d3-c08cd7a734a0' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9354c388-9b64-484b-8d00-14a9dc370250' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9354c388-9b64-484b-8d00-14a9dc370250' class='xr-section-summary' >Data variables: <span>(1)</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>va_850</span></div><div class='xr-var-dims'>(month, member, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3579d26-e830-4fc1-a07f-574090361c71' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c3579d26-e830-4fc1-a07f-574090361c71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a181f8bf-54c4-4c36-b3aa-3ab24221196a' class='xr-var-data-in' type='checkbox'><label for='data-a181f8bf-54c4-4c36-b3aa-3ab24221196a' 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>[7819200 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e6175bc0-ffde-4ce4-bd0b-f410a6844217' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e6175bc0-ffde-4ce4-bd0b-f410a6844217' 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.Dataset>\n",
       "Dimensions:  (lat: 181, lon: 360, member: 10, month: 12)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.0 -88.0 -87.0 -86.0 ... 87.0 88.0 89.0 90.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * member   (member) int64 0 1 2 3 4 5 6 7 8 9\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    va_850   (month, member, lat, lon) float32 ..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsv = xr.open_dataset('/glade/scratch/huili7/S2S_data/S2S_va850_week2_monclim.nc')\n",
    "dsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "45732aee-99b0-4f5e-9e29-7769582fe3b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "dsu.ua_850.attrs['units']='m/s'\n",
    "dsv.va_850.attrs['units']='m/s'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0f929c7a-1561-4cb9-82b2-f225bfe55872",
   "metadata": {},
   "outputs": [],
   "source": [
    "lon = dsu['lon'].data\n",
    "lat = dsu['lat'].data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "89a794ff-2bfc-434c-a45c-dd7093733d44",
   "metadata": {},
   "outputs": [],
   "source": [
    "dx, dy = mpcalc.lat_lon_grid_deltas(lon, lat)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ddd8d019-2126-4380-bd1f-2261f15a0004",
   "metadata": {},
   "outputs": [],
   "source": [
    "latlon2d = xr.broadcast(dsu.lat, dsu.lon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b2d75b60-dbc5-4e8c-a73e-8d2718dd1173",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
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     "text": [
      "/glade/work/huili7/miniconda3/envs/geocat_env/lib/python3.7/site-packages/pint/quantity.py:1237: RuntimeWarning: invalid value encountered in true_divide\n",
      "  magnitude = magnitude_op(new_self._magnitude, other._magnitude)\n",
      "/glade/work/huili7/miniconda3/envs/geocat_env/lib/python3.7/site-packages/pint/quantity.py:1237: RuntimeWarning: invalid value encountered in true_divide\n",
      "  magnitude = magnitude_op(new_self._magnitude, other._magnitude)\n",
      "/glade/work/huili7/miniconda3/envs/geocat_env/lib/python3.7/site-packages/pint/quantity.py:1237: RuntimeWarning: invalid value encountered in true_divide\n",
      "  magnitude = magnitude_op(new_self._magnitude, other._magnitude)\n",
      "/glade/work/huili7/miniconda3/envs/geocat_env/lib/python3.7/site-packages/pint/quantity.py:1237: RuntimeWarning: invalid value encountered in true_divide\n",
      "  magnitude = magnitude_op(new_self._magnitude, other._magnitude)\n",
      "/glade/work/huili7/miniconda3/envs/geocat_env/lib/python3.7/site-packages/pint/quantity.py:1237: RuntimeWarning: invalid value encountered in true_divide\n",
      "  magnitude = magnitude_op(new_self._magnitude, other._magnitude)\n",
      "/glade/work/huili7/miniconda3/envs/geocat_env/lib/python3.7/site-packages/pint/quantity.py:1237: RuntimeWarning: invalid value encountered in true_divide\n",
      "  magnitude = magnitude_op(new_self._magnitude, other._magnitude)\n",
      "/glade/work/huili7/miniconda3/envs/geocat_env/lib/python3.7/site-packages/pint/quantity.py:1237: RuntimeWarning: invalid value encountered in true_divide\n",
      "  magnitude = magnitude_op(new_self._magnitude, other._magnitude)\n",
      "/glade/work/huili7/miniconda3/envs/geocat_env/lib/python3.7/site-packages/pint/quantity.py:1237: RuntimeWarning: invalid value encountered in true_divide\n",
      "  magnitude = magnitude_op(new_self._magnitude, other._magnitude)\n",
      "/glade/work/huili7/miniconda3/envs/geocat_env/lib/python3.7/site-packages/pint/quantity.py:1237: RuntimeWarning: invalid value encountered in true_divide\n",
      "  magnitude = magnitude_op(new_self._magnitude, other._magnitude)\n",
      "/glade/work/huili7/miniconda3/envs/geocat_env/lib/python3.7/site-packages/pint/quantity.py:1237: RuntimeWarning: invalid value encountered in true_divide\n",
      "  magnitude = magnitude_op(new_self._magnitude, other._magnitude)\n",
      "/glade/work/huili7/miniconda3/envs/geocat_env/lib/python3.7/site-packages/pint/quantity.py:1237: RuntimeWarning: invalid value encountered in true_divide\n",
      "  magnitude = magnitude_op(new_self._magnitude, other._magnitude)\n",
      "/glade/work/huili7/miniconda3/envs/geocat_env/lib/python3.7/site-packages/pint/quantity.py:1237: RuntimeWarning: invalid value encountered in true_divide\n",
      "  magnitude = magnitude_op(new_self._magnitude, other._magnitude)\n"
     ]
    }
   ],
   "source": [
    "month_list=[]\n",
    "for im in np.arange(0,12):\n",
    "    member_list=[]\n",
    "    for member in np.arange(0,10):\n",
    "        vort_member = mpcalc.absolute_vorticity(dsu.ua_850[im, member,:,:], dsv.va_850[im, member,:,:], dx, dy, latlon2d[0] * units.degrees)\n",
    "        member_list.append(vort_member)\n",
    "    vort_member = xr.concat(member_list, \"member\")\n",
    "    month_list.append(vort_member)\n",
    "ds_vort = xr.concat(month_list, \"month\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "be7cd766-d257-4c14-b7d6-dec83943b3bf",
   "metadata": {},
   "outputs": [
    {
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       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 181, lon: 360)&gt;\n",
       "&lt;Quantity([[        nan         nan         nan ...         nan         nan\n",
       "          nan]\n",
       " [-0.00016526 -0.00016489 -0.00016441 ... -0.0001675  -0.000167\n",
       "  -0.00016657]\n",
       " [-0.0001592  -0.00015875 -0.00015829 ... -0.0001609  -0.0001604\n",
       "  -0.0001599 ]\n",
       " ...\n",
       " [ 0.00015152  0.00015139  0.00015125 ...  0.00015196  0.00015183\n",
       "   0.0001517 ]\n",
       " [ 0.00015991  0.00015965  0.00015939 ...  0.00016075  0.00016051\n",
       "   0.00016026]\n",
       " [        nan         nan         nan ...         nan         nan\n",
       "          nan]], &#x27;1 / second&#x27;)&gt;\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.0 -88.0 -87.0 -86.0 ... 87.0 88.0 89.0 90.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "    member   int64 0\n",
       "    month    int64 1</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 181</li><li><span class='xr-has-index'>lon</span>: 360</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2dfc6dc1-144f-4db2-8cc1-a76cff873092' class='xr-array-in' type='checkbox' checked><label for='section-2dfc6dc1-144f-4db2-8cc1-a76cff873092' 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>&lt;Quantity([[        nan         nan         nan ...         nan    ...</span></div><div class='xr-array-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><pre>[[nan nan nan ... nan nan nan]<br> [-0.00016526289561814297 -0.0001648920888045594 -0.00016441328450859865<br>  ... -0.00016749578434036345 -0.00016700027113233362<br>  -0.0001665700673675988]<br> [-0.0001592049597489284 -0.0001587545129983092 -0.0001582905702487478<br>  ... -0.0001608996077452576 -0.00016040119217942806<br>  -0.0001599002458116301]<br> ...<br> [0.00015151787303838406 0.00015138767783983695 0.00015125218147288126<br>  ... 0.00015195746808210482 0.00015183227514513575<br>  0.00015170399497533215]<br> [0.00015990516970999742 0.00015965232759425734 0.00015939124047257845<br>  ... 0.00016074764233413853 0.00016050511656302006 0.0001602605973705127]<br> [nan nan nan ... nan nan nan]]</pre></td></tr><tr><th>Units</th><td style='text-align:left;'>1/second</td></tr></tbody></table></div></div></li><li class='xr-section-item'><input id='section-ecd946c7-8e82-4949-9d71-90a0b8959594' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ecd946c7-8e82-4949-9d71-90a0b8959594' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -88.0 ... 89.0 90.0</div><input id='attrs-bfbe6910-0fee-47f9-90e5-b8e882b69148' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfbe6910-0fee-47f9-90e5-b8e882b69148' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b25c4e6d-321f-4934-9ca1-cd7b3f77d328' class='xr-var-data-in' type='checkbox'><label for='data-b25c4e6d-321f-4934-9ca1-cd7b3f77d328' 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>_metpy_axis :</span></dt><dd>y,latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90., -89., -88., -87., -86., -85., -84., -83., -82., -81., -80., -79.,\n",
       "       -78., -77., -76., -75., -74., -73., -72., -71., -70., -69., -68., -67.,\n",
       "       -66., -65., -64., -63., -62., -61., -60., -59., -58., -57., -56., -55.,\n",
       "       -54., -53., -52., -51., -50., -49., -48., -47., -46., -45., -44., -43.,\n",
       "       -42., -41., -40., -39., -38., -37., -36., -35., -34., -33., -32., -31.,\n",
       "       -30., -29., -28., -27., -26., -25., -24., -23., -22., -21., -20., -19.,\n",
       "       -18., -17., -16., -15., -14., -13., -12., -11., -10.,  -9.,  -8.,  -7.,\n",
       "        -6.,  -5.,  -4.,  -3.,  -2.,  -1.,   0.,   1.,   2.,   3.,   4.,   5.,\n",
       "         6.,   7.,   8.,   9.,  10.,  11.,  12.,  13.,  14.,  15.,  16.,  17.,\n",
       "        18.,  19.,  20.,  21.,  22.,  23.,  24.,  25.,  26.,  27.,  28.,  29.,\n",
       "        30.,  31.,  32.,  33.,  34.,  35.,  36.,  37.,  38.,  39.,  40.,  41.,\n",
       "        42.,  43.,  44.,  45.,  46.,  47.,  48.,  49.,  50.,  51.,  52.,  53.,\n",
       "        54.,  55.,  56.,  57.,  58.,  59.,  60.,  61.,  62.,  63.,  64.,  65.,\n",
       "        66.,  67.,  68.,  69.,  70.,  71.,  72.,  73.,  74.,  75.,  76.,  77.,\n",
       "        78.,  79.,  80.,  81.,  82.,  83.,  84.,  85.,  86.,  87.,  88.,  89.,\n",
       "        90.], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 357.0 358.0 359.0</div><input id='attrs-f5434ee2-1ceb-4415-a9ac-3587defb8a02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5434ee2-1ceb-4415-a9ac-3587defb8a02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7887a673-8cf7-46e3-8894-df9923268c07' class='xr-var-data-in' type='checkbox'><label for='data-7887a673-8cf7-46e3-8894-df9923268c07' 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>_metpy_axis :</span></dt><dd>x,longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 357., 358., 359.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>member</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-0d0899ae-02ba-4096-a560-91e5b0998da1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d0899ae-02ba-4096-a560-91e5b0998da1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-158246d9-e40f-4d58-870a-b94af1cd81c2' class='xr-var-data-in' type='checkbox'><label for='data-158246d9-e40f-4d58-870a-b94af1cd81c2' 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(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-7a79bae2-2acc-45bb-a6ea-84bfffde772f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a79bae2-2acc-45bb-a6ea-84bfffde772f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-340710d3-8c5a-4e8a-8bc0-204d5dd1ae3c' class='xr-var-data-in' type='checkbox'><label for='data-340710d3-8c5a-4e8a-8bc0-204d5dd1ae3c' 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)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e1e67bda-d048-4a97-8510-8350a1910a72' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e1e67bda-d048-4a97-8510-8350a1910a72' 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 (lat: 181, lon: 360)>\n",
       "<Quantity([[        nan         nan         nan ...         nan         nan\n",
       "          nan]\n",
       " [-0.00016526 -0.00016489 -0.00016441 ... -0.0001675  -0.000167\n",
       "  -0.00016657]\n",
       " [-0.0001592  -0.00015875 -0.00015829 ... -0.0001609  -0.0001604\n",
       "  -0.0001599 ]\n",
       " ...\n",
       " [ 0.00015152  0.00015139  0.00015125 ...  0.00015196  0.00015183\n",
       "   0.0001517 ]\n",
       " [ 0.00015991  0.00015965  0.00015939 ...  0.00016075  0.00016051\n",
       "   0.00016026]\n",
       " [        nan         nan         nan ...         nan         nan\n",
       "          nan]], '1 / second')>\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.0 -88.0 -87.0 -86.0 ... 87.0 88.0 89.0 90.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "    member   int64 0\n",
       "    month    int64 1"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_vort[0,0,:,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "56e43434-be4d-4e26-bc16-cb1fde0b833d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.0, 1.0, '500-hPa NAM Geopotential Heights (m) and Wind Barbs (kt)')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set up the projection that will be used for plotting\n",
    "mapcrs = ccrs.LambertConformal(central_longitude=-100, central_latitude=35,\n",
    "                               standard_parallels=(30, 60))\n",
    "\n",
    "# Set up the projection of the data; if lat/lon then PlateCarree is what you want\n",
    "datacrs = ccrs.PlateCarree()\n",
    "\n",
    "# Start the figure and create plot axes with proper projection\n",
    "fig = plt.figure(1, figsize=(14, 12))\n",
    "ax = plt.subplot(111, projection=mapcrs)\n",
    "ax.set_extent([-130, -72, 20, 55], ccrs.PlateCarree())\n",
    "\n",
    "# Add geopolitical boundaries for map reference\n",
    "ax.add_feature(cfeature.COASTLINE.with_scale('50m'))\n",
    "ax.add_feature(cfeature.STATES.with_scale('50m'))\n",
    "\n",
    "# Absolute Vorticity colors\n",
    "# Use two different colormaps from matplotlib and combine into one color set\n",
    "clevs_500_avor = list(range(-8, 1, 1))+list(range(8, 46, 1))\n",
    "colors1 = plt.cm.YlOrRd(np.linspace(0, 1, 48))\n",
    "colors2 = plt.cm.BuPu(np.linspace(0.5, 0.75, 8))\n",
    "colors = np.vstack((colors2, (1, 1, 1, 1), colors1))\n",
    "\n",
    "# Plot absolute vorticity values (multiplying by 10^5 to scale appropriately)\n",
    "cf = ax.contourf(latlon2d[1], latlon2d[0], ds_vort[1,0,:,:]*1e5, clevs_500_avor, colors=colors, extend='max',\n",
    "                 transform=datacrs)\n",
    "cb = plt.colorbar(cf, orientation='horizontal', pad=0, aspect=50, extendrect=True)\n",
    "cb.set_label('Abs. Vorticity ($s^{-1}$)')\n",
    "\n",
    "\n",
    "# Set up a 2D slice to reduce the number of wind barbs plotted (every 20th)\n",
    "wind_slice = (slice(None, None, 20), slice(None, None, 20))\n",
    "#ax.barbs(lat2d[1][wind_slice], lat2d[0][wind_slice],\n",
    "#         dsu.ua_850[9,0,:,:][wind_slice].data, dsv.va_850[9,0,:,:][wind_slice].data,\n",
    "#         pivot='middle', color='black', transform=datacrs)\n",
    "\n",
    "# Plot two titles, one on right and left side\n",
    "plt.title('500-hPa NAM Geopotential Heights (m)'\n",
    "          ' and Wind Barbs (kt)', loc='left')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6a36705a-4849-4903-8dcf-f8eccfadb3a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_vort.to_dataset(name='vo').to_netcdf('/glade/scratch/huili7/S2S_data/S2S_vor850_week2_monclim.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ffb60dc9-8788-4b9a-a7cd-d9111933d49d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:miniconda3-geocat_env]",
   "language": "python",
   "name": "conda-env-miniconda3-geocat_env-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}