bottom_slope_find_relevant_mode.ipynb

{
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   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt \n",
    "from matplotlib.colors import LogNorm\n",
    "import cmocean as cmo\n",
    "import xarray as xr \n",
    "import cartopy\n",
    "import cartopy.crs as ccrs\n",
    "from scipy.interpolate import interp1d\n",
    "from tqdm import tqdm\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# LOAD EOFS\n",
    "eof_path = '/Users/jakesteinberg/Documents/CPT/vertical_structure/CM_comparisons/prep_for_modes_cmN_2deg_UV.nc'\n",
    "data = xr.open_dataset(eof_path)\n",
    "lon_in = data.lon.data\n",
    "lat_in = data.lat.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# LOAD MODES \n",
    "mode_path = '/Users/jakesteinberg/Documents/CPT/vertical_structure/CM_comparisons/modes_cmN_2deg_globe.nc'\n",
    "data_modes = xr.open_dataset(mode_path)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "</style><div class='xr-wrap'><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-d41dd69a-41db-49e5-a19f-e4dec17d89fc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d41dd69a-41db-49e5-a19f-e4dec17d89fc' 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'>K</span>: 1</li><li><span class='xr-has-index'>lat</span>: 69</li><li><span class='xr-has-index'>lon</span>: 179</li><li><span class='xr-has-index'>modeno</span>: 3</li><li><span class='xr-has-index'>theta</span>: 5</li><li><span class='xr-has-index'>z</span>: 50</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d7550775-8c86-4d91-acf3-63fb7724af6c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d7550775-8c86-4d91-acf3-63fb7724af6c' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.395e+03 -5.185e+03 ... -5.034</div><input id='attrs-b0426030-9043-4677-b2c9-f29459e81013' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0426030-9043-4677-b2c9-f29459e81013' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4a6d183-16fa-47db-b6f2-04692200f4d9' class='xr-var-data-in' type='checkbox'><label for='data-f4a6d183-16fa-47db-b6f2-04692200f4d9' 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><pre class='xr-var-data'>array([-5.395023e+03, -5.185111e+03, -4.975209e+03, -4.765369e+03,\n",
       "       -4.555566e+03, -4.345864e+03, -4.136251e+03, -3.926813e+03,\n",
       "       -3.717567e+03, -3.508633e+03, -3.300086e+03, -3.092117e+03,\n",
       "       -2.884898e+03, -2.678757e+03, -2.474043e+03, -2.271323e+03,\n",
       "       -2.071252e+03, -1.874788e+03, -1.683057e+03, -1.497562e+03,\n",
       "       -1.319997e+03, -1.152376e+03, -9.967153e+02, -8.549935e+02,\n",
       "       -7.286921e+02, -6.187031e+02, -5.249824e+02, -4.467263e+02,\n",
       "       -3.823651e+02, -3.300078e+02, -2.875508e+02, -2.530681e+02,\n",
       "       -2.247773e+02, -2.012630e+02, -1.813125e+02, -1.640538e+02,\n",
       "       -1.487466e+02, -1.349086e+02, -1.221067e+02, -1.100962e+02,\n",
       "       -9.862325e+01, -8.757695e+01, -7.680285e+01, -6.626175e+01,\n",
       "       -5.585325e+01, -4.557635e+01, -3.535845e+01, -2.521935e+01,\n",
       "       -1.510065e+01, -5.033550e+00])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5 6 7 8 9 10 ... 68 69 70 71 72 73</div><input id='attrs-20e41b37-540c-4cec-874c-d8c35860ac4d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20e41b37-540c-4cec-874c-d8c35860ac4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdf49ef4-54f2-45e6-ab5d-84f763fda8ac' class='xr-var-data-in' type='checkbox'><label for='data-cdf49ef4-54f2-45e6-ab5d-84f763fda8ac' 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><pre class='xr-var-data'>array([ 5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22,\n",
       "       23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40,\n",
       "       41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,\n",
       "       59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73])</pre></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'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 ... 175 176 177 178 179</div><input id='attrs-4aeaa778-5166-4952-a64e-c2e9f543df6b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4aeaa778-5166-4952-a64e-c2e9f543df6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9510bec6-6e15-44d2-8d1a-474571147ca3' class='xr-var-data-in' type='checkbox'><label for='data-9510bec6-6e15-44d2-8d1a-474571147ca3' 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><pre class='xr-var-data'>array([  1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,\n",
       "        15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,\n",
       "        29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,\n",
       "        43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,\n",
       "        57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,\n",
       "        71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,\n",
       "        85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,\n",
       "        99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112,\n",
       "       113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126,\n",
       "       127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140,\n",
       "       141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154,\n",
       "       155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168,\n",
       "       169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>K</span></div><div class='xr-var-dims'>(K)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>100</div><input id='attrs-b02de799-ee1c-4b7a-8f16-71ac38498176' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b02de799-ee1c-4b7a-8f16-71ac38498176' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20d29723-4144-45b0-af14-fcc111a930d3' class='xr-var-data-in' type='checkbox'><label for='data-20d29723-4144-45b0-af14-fcc111a930d3' 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><pre class='xr-var-data'>array([100])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>theta</span></div><div class='xr-var-dims'>(theta)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4</div><input id='attrs-67cde238-cd96-4ba4-857c-c064b446f550' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-67cde238-cd96-4ba4-857c-c064b446f550' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58f352ef-42c9-4971-9208-3940d83e47a7' class='xr-var-data-in' type='checkbox'><label for='data-58f352ef-42c9-4971-9208-3940d83e47a7' 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><pre class='xr-var-data'>array([0, 1, 2, 3, 4])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>modeno</span></div><div class='xr-var-dims'>(modeno)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2</div><input id='attrs-a700fa86-ddb0-4111-85ef-dde6d4aa6b54' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a700fa86-ddb0-4111-85ef-dde6d4aa6b54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7c2a634-2ca4-4087-ba93-233cff53f9bb' class='xr-var-data-in' type='checkbox'><label for='data-b7c2a634-2ca4-4087-ba93-233cff53f9bb' 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><pre class='xr-var-data'>array([0, 1, 2])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-9a4d6daa-cde6-4667-b0c1-673fa54c2505' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a4d6daa-cde6-4667-b0c1-673fa54c2505' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>fbmi</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-62790a83-6368-46ee-bc0b-9b78336dd64d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-62790a83-6368-46ee-bc0b-9b78336dd64d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a288b50-b784-4a41-a342-7dfa92a711bd' class='xr-var-data-in' type='checkbox'><label for='data-9a288b50-b784-4a41-a342-7dfa92a711bd' 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><pre class='xr-var-data'>array([[ 2.,  3.,  3., ...,  0.,  3.,  1.],\n",
       "       [ 1.,  3.,  3., ...,  3.,  3.,  3.],\n",
       "       [ 3.,  1.,  1., ...,  1.,  3.,  0.],\n",
       "       ...,\n",
       "       [ 3.,  2., nan, ...,  1.,  3.,  3.],\n",
       "       [ 2.,  2., nan, ...,  2.,  1.,  3.],\n",
       "       [ 2.,  3.,  0., ...,  3.,  2.,  1.]])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>thetas</span></div><div class='xr-var-dims'>(lat, lon, theta)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b13a5e8-098d-4b14-a20d-d0fce22b4a0f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b13a5e8-098d-4b14-a20d-d0fce22b4a0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0951b55b-0fa4-4c3c-9f02-76937c282870' class='xr-var-data-in' type='checkbox'><label for='data-0951b55b-0fa4-4c3c-9f02-76937c282870' 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><pre class='xr-var-data'>array([[[0.139626, 1.22173 , ..., 2.303835, 3.750081],\n",
       "        [0.139626, 1.22173 , ..., 2.568122, 4.138918],\n",
       "        ...,\n",
       "        [0.139626, 1.22173 , ..., 3.000326, 4.571123],\n",
       "        [0.139626, 0.30035 , ..., 1.871146, 2.303835]],\n",
       "\n",
       "       [[0.139626, 0.29589 , ..., 1.866686, 2.303835],\n",
       "        [0.139626, 0.506969, ..., 2.077765, 2.303835],\n",
       "        ...,\n",
       "        [0.139626, 1.22173 , ..., 2.475938, 4.046734],\n",
       "        [0.139626, 1.22173 , ..., 2.448292, 4.019088]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0.139626, 1.22173 , ..., 2.303835, 2.871907],\n",
       "        [0.139626, 1.22173 , ..., 2.303835, 3.237465],\n",
       "        ...,\n",
       "        [0.139626, 0.867896, ..., 2.303835, 2.438692],\n",
       "        [0.139626, 1.22173 , ..., 2.504682, 4.075479]],\n",
       "\n",
       "       [[0.139626, 1.22173 , ..., 2.303835, 3.750848],\n",
       "        [0.139626, 1.22173 , ..., 3.050373, 4.621169],\n",
       "        ...,\n",
       "        [0.139626, 1.22173 , ..., 2.303835, 3.100176],\n",
       "        [0.139626, 1.004972, ..., 2.303835, 2.575768]]])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>modes</span></div><div class='xr-var-dims'>(lat, lon, K, theta, z, modeno)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4076c9e9-79c9-4b41-80dd-e21fc1b83548' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4076c9e9-79c9-4b41-80dd-e21fc1b83548' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1ab01b5-0fbb-4d00-a2bc-05f5e067cf4d' class='xr-var-data-in' type='checkbox'><label for='data-a1ab01b5-0fbb-4d00-a2bc-05f5e067cf4d' 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><pre class='xr-var-data'>[9263250 values with dtype=float64]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>phase</span></div><div class='xr-var-dims'>(lat, lon, K, theta, modeno)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c916151f-5689-4144-a723-ba4a5abebcf8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c916151f-5689-4144-a723-ba4a5abebcf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c8389a8-b684-4a3f-a0d8-cc19346a9af0' class='xr-var-data-in' type='checkbox'><label for='data-4c8389a8-b684-4a3f-a0d8-cc19346a9af0' 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><pre class='xr-var-data'>[185265 values with dtype=float64]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ceae1f49-7d50-42d6-bfb4-1f1d3f167b2b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ceae1f49-7d50-42d6-bfb4-1f1d3f167b2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b470fd85-6b96-4ff4-a20c-14eb8b8de6b0' class='xr-var-data-in' type='checkbox'><label for='data-b470fd85-6b96-4ff4-a20c-14eb8b8de6b0' 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><pre class='xr-var-data'>array([  2,   4,   6,   8,  10,  12,  14,  16,  18,  20,  22,  24,  26,  28,\n",
       "        30,  32,  34,  36,  38,  40,  42,  44,  46,  48,  50,  52,  54,  56,\n",
       "        58,  60,  62,  64,  66,  68,  70,  72,  74,  76,  78,  80,  82,  84,\n",
       "        86,  88,  90,  92,  94,  96,  98, 100, 102, 104, 106, 108, 110, 112,\n",
       "       114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140,\n",
       "       142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168,\n",
       "       170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 194, 196,\n",
       "       198, 200, 202, 204, 206, 208, 210, 212, 214, 216, 218, 220, 222, 224,\n",
       "       226, 228, 230, 232, 234, 236, 238, 240, 242, 244, 246, 248, 250, 252,\n",
       "       254, 256, 258, 260, 262, 264, 266, 268, 270, 272, 274, 276, 278, 280,\n",
       "       282, 284, 286, 288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308,\n",
       "       310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336,\n",
       "       338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f850fa3-5859-41b5-8b8d-f419681fee70' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f850fa3-5859-41b5-8b8d-f419681fee70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8029f66b-2746-4be0-99d0-8caabd55c437' class='xr-var-data-in' type='checkbox'><label for='data-8029f66b-2746-4be0-99d0-8caabd55c437' 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><pre class='xr-var-data'>array([-68, -66, -64, -62, -60, -58, -56, -54, -52, -50, -48, -46, -44, -42,\n",
       "       -40, -38, -36, -34, -32, -30, -28, -26, -24, -22, -20, -18, -16, -14,\n",
       "       -12, -10,  -8,  -6,  -4,  -2,   0,   2,   4,   6,   8,  10,  12,  14,\n",
       "        16,  18,  20,  22,  24,  26,  28,  30,  32,  34,  36,  38,  40,  42,\n",
       "        44,  46,  48,  50,  52,  54,  56,  58,  60,  62,  64,  66,  68])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-7998a3bf-9281-45dd-8687-38a41e7dfebd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7998a3bf-9281-45dd-8687-38a41e7dfebd' 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:    (K: 1, lat: 69, lon: 179, modeno: 3, theta: 5, z: 50)\n",
       "Coordinates:\n",
       "  * z          (z) float64 -5.395e+03 -5.185e+03 -4.975e+03 ... -15.1 -5.034\n",
       "  * lat        (lat) int64 5 6 7 8 9 10 11 12 13 ... 65 66 67 68 69 70 71 72 73\n",
       "  * lon        (lon) int64 1 2 3 4 5 6 7 8 9 ... 172 173 174 175 176 177 178 179\n",
       "  * K          (K) int64 100\n",
       "  * theta      (theta) int64 0 1 2 3 4\n",
       "  * modeno     (modeno) int64 0 1 2\n",
       "Data variables:\n",
       "    fbmi       (lat, lon) float64 ...\n",
       "    thetas     (lat, lon, theta) float64 ...\n",
       "    modes      (lat, lon, K, theta, z, modeno) float64 ...\n",
       "    phase      (lat, lon, K, theta, modeno) float64 ...\n",
       "    longitude  (lon) int64 ...\n",
       "    latitude   (lat) int64 ..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_modes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 69/69 [01:05<00:00,  1.05it/s]\n"
     ]
    }
   ],
   "source": [
    "# EOFs and modes are on same z grid \n",
    "z = -1*data_modes.z.data\n",
    "select_mode_all = np.nan*np.ones((len(data_modes.lat),len(data_modes.lon), len(z)))\n",
    "select_mode_i = np.nan*np.ones((len(data_modes.lat),len(data_modes.lon)))\n",
    "select_phase = np.nan*np.ones((len(data_modes.lat),len(data_modes.lon)))\n",
    "for i in tqdm(range(len(data_modes.lat))): # these are indices of the total lat/lon list (match EOF indices)\n",
    "    for j in range(len(data_modes.lon)):\n",
    "        # skip if nan \n",
    "        if np.isnan(data_modes.fbmi[i,j]):\n",
    "            continue                \n",
    "            \n",
    "        # -- relevant EOF\n",
    "        this_EOF = np.flip(data.EOFv[:,data_modes.lat[i].data,data_modes.lon[j].data].data)\n",
    "        # skip if nan \n",
    "        if np.sum(np.isnan(this_EOF)) > 25:\n",
    "            continue          \n",
    "    \n",
    "        these_modes = data_modes.modes[i,j,0,:,:,1].data # 1st, baroclinic modes (sb + fb)\n",
    "        this_fb_m0 = data_modes.modes[i,j,0,np.int(data_modes.fbmi[i,j]),:,0].data # 0th, barotropic mode \n",
    "        these_phases = data_modes.phase[i,j,0,:,1] # phase speeds of modes \n",
    "        # -- non-nan z coords\n",
    "        # good = np.where(~np.isnan(these_modes[np.int(data_modes.fbmi[i,j]),:]))[0]\n",
    "        good_m = np.where(~np.isnan(these_modes[np.int(data_modes.fbmi[i,j]),:]))[0]          # align in the vertical \n",
    "        good_e = np.where(~np.isnan(this_EOF))[0]\n",
    "        good = np.intersect1d(good_m,good_e)\n",
    "        \n",
    "        # when finding min, scale by dz \n",
    "        dz = z[0:-1] - z[1:]\n",
    "        dz = np.concatenate((np.array([dz[0]])[None,:],dz[None,:]),axis=1)\n",
    "        dz = dz[0,good]\n",
    "        \n",
    "        # -- normalize to vertically integrate to 1 (in z, these profiles are shortened by good mask)\n",
    "        EOF_norm = this_EOF[good] / np.sqrt(np.trapz((this_EOF[good]*this_EOF[good]), (-1*z[good])) / (1*z[good][0]))\n",
    "        if np.nanmean(EOF_norm[-2:]) < 0:\n",
    "            EOF_norm = -1*EOF_norm\n",
    "        fbm0_mode_norm = this_fb_m0[good] / np.sqrt(np.trapz((this_fb_m0[good]*this_fb_m0[good]), (-1*z[good])) / (1*z[good][0]))\n",
    "        mode_norm = np.nan*np.ones((np.shape(these_modes)[0],len(good)))\n",
    "        for k in range(np.shape(these_modes)[0]):\n",
    "            mode_norm[k,:] = these_modes[k,good] / np.sqrt(np.trapz((these_modes[k,good]*these_modes[k,good]), (-1*z[good])) / (1*z[good][0]))\n",
    "        # -- combine modes to compare to EOF\n",
    "        mode_test = np.concatenate((fbm0_mode_norm[None,:],mode_norm),axis=0)\n",
    "        Em_diff = np.nansum(((np.tile(EOF_norm[None,:],(np.shape(mode_test)[0],1)) - mode_test)*np.tile(dz,(np.shape(mode_test)[0],1)))**2,axis=1)\n",
    "        select_m_i = np.where(Em_diff == np.nanmin(Em_diff))[0][0]\n",
    "        mode_list = np.concatenate((this_fb_m0[None,:],these_modes),axis=0)\n",
    "        select_mode_all[i,j,good] = mode_test[select_m_i,:] # mode_list[select_m_i,:]\n",
    "        select_mode_i[i,j] = select_m_i\n",
    "        if select_m_i == np.int(data_modes.fbmi[i,j]+1):\n",
    "            select_mode_i[i,j] = 10\n",
    "        if select_m_i == 0:\n",
    "            select_phase[i,j] = np.nan\n",
    "        else:\n",
    "            select_phase[i,j] = these_phases[select_m_i - 1]\n",
    "            if select_phase[i,j] > 10:\n",
    "                select_phase[i,j] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1,1,figsize=(14,6), subplot_kw={'projection':ccrs.PlateCarree(central_longitude=0)})\n",
    "cmap = plt.get_cmap('viridis'); cmap.set_under('r'); cmap.set_over('m')\n",
    "ax.pcolor(lon_in[data_modes.lon.data],lat_in[data_modes.lat.data],select_mode_i,cmap=cmap,vmin=1,vmax=6)\n",
    "ax.scatter(data_modes.longitude.data[2],data_modes.latitude.data[20],color='y',transform=ccrs.PlateCarree())\n",
    "ax.add_feature(cartopy.feature.LAND, color='#D2B48C',zorder=1)\n",
    "ax.coastlines(); gl = ax.gridlines(draw_labels=True)\n",
    "ax.set_title('best mode fit to EOF1v',fontsize=15)\n",
    "gl.xlabels_top = False; gl.ylabels_right = False\n",
    "# ax.set_xlim([-130,70]); ax.set_ylim([-80,30]); \n",
    "# ax.set_xlim([-100,10]); \n",
    "ax.set_ylim([-70,70]); \n",
    "f.savefig('/Users/jakesteinberg/Documents/CPT/meetings/2022_07_19/mode_select_v.jpg', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1,1,figsize=(14,6), subplot_kw={'projection':ccrs.PlateCarree(central_longitude=0)})\n",
    "cmap = plt.get_cmap('viridis'); cmap.set_under('r'); cmap.set_over('m')\n",
    "cc = ax.pcolor(lon_in[data_modes.lon.data],lat_in[data_modes.lat.data],select_phase,cmap=cmap,vmin=0,vmax=10)\n",
    "ax.scatter(data_modes.longitude.data[2],data_modes.latitude.data[20],color='y',transform=ccrs.PlateCarree())\n",
    "ax.add_feature(cartopy.feature.LAND, color='#D2B48C',zorder=1)\n",
    "ax.coastlines(); gl = ax.gridlines(draw_labels=True)\n",
    "ax.set_title('select mode',fontsize=15)\n",
    "gl.xlabels_top = False; gl.ylabels_right = False\n",
    "# ax.set_xlim([-180,180]); ax.set_ylim([-80,80]); \n",
    "# ax.set_xlim([-130,70]); ax.set_ylim([-80,30]); \n",
    "cbpos = [0.92, 0.15, 0.02, 0.5]; cax = f.add_axes(cbpos); \n",
    "cb = f.colorbar(cc, cax=cax, orientation='vertical', label='phase speed m/s')\n",
    "# f.savefig('/Users/jakesteinberg/Documents/CPT/meetings/2022_06_14/mode_select.jpg', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lati = 10\n",
    "loni = 10\n",
    "Ki = 0\n",
    "mi = 1\n",
    "\n",
    "these_modes = data_modes.modes[lati,loni,0,:,:,1].data                                        # 1st, baroclinic modes (sb + fb)\n",
    "this_EOF = np.flip(data.EOFu[:,data_modes.lat[lati].data,data_modes.lon[loni].data].data)     # EOF at same loc \n",
    "this_fb_m0 = data_modes.modes[lati,loni,0,np.int(data_modes.fbmi[lati,loni]),:,0].data        # 0th, barotropic mode\n",
    "\n",
    "good_m = np.where(~np.isnan(these_modes[np.int(data_modes.fbmi[lati,loni]),:]))[0]            # align in the vertical \n",
    "good_e = np.where(~np.isnan(this_EOF))[0]\n",
    "good = np.intersect1d(good_m,good_e)\n",
    "norm_EOF = this_EOF[good] / np.sqrt(np.trapz((this_EOF[good]*this_EOF[good]), (-1*z[good])) / (1*z[good][0])) # normalize \n",
    "if np.nanmean(norm_EOF[-2:]) < 0:  # flip sign if needed \n",
    "    norm_EOF = norm_EOF*-1\n",
    "\n",
    "# -- mode selected to best match EOF (test of cell above )\n",
    "this_mode_check = select_mode_all[lati,loni,:]\n",
    "# norm_mode_check = this_mode_check[good] / np.sqrt(np.trapz((this_mode_check[good]*this_mode_check[good]), (-1*z[good])) / (1*z[good][0])) # normalize \n",
    "# -- compare against all other modes (at this loc)\n",
    "other_norm_modes = np.nan*np.ones((np.shape(these_modes)[0],len(good)))\n",
    "for k in range(np.shape(these_modes)[0]):\n",
    "    other_norm_modes[k,:] = these_modes[k,good] / np.sqrt(np.trapz((these_modes[k,good]*these_modes[k,good]), (-1*z[good])) / (1*z[good][0]))\n",
    "fbm0_mode_norm = this_fb_m0[good] / np.sqrt(np.trapz((this_fb_m0[good]*this_fb_m0[good]), (-1*z[good])) / (1*z[good][0]))\n",
    "\n",
    "# combine modes to compare to EOF\n",
    "mode_test = np.concatenate((fbm0_mode_norm[None,:],other_norm_modes),axis=0)\n",
    "dz = z[0:-1] - z[1:]\n",
    "dz = np.concatenate((np.array([dz[0]])[None,:],dz[None,:]),axis=1)\n",
    "dz = dz[0,good]\n",
    "Em_diff = np.nansum(((np.tile(norm_EOF[None,:],(np.shape(mode_test)[0],1)) - mode_test)*np.tile(dz,(np.shape(mode_test)[0],1)))**2,axis=1)\n",
    "select_m_ii = np.where(Em_diff == np.nanmin(Em_diff))[0][0]\n",
    "mode_list = np.concatenate((this_fb_m0[None,:],these_modes),axis=0)\n",
    "select_mode = mode_list[select_m_i,:]\n",
    "select_mode_ii = select_m_ii\n",
    "\n",
    "# PLOT \n",
    "f, (ax0,ax) = plt.subplots(1,2,figsize=(8,8))\n",
    "# initial EOF \n",
    "ax0.plot(this_EOF,-1*z)\n",
    "ax0.set_title('EOFu1: [' + str(data_modes.longitude[loni].data) + 'E,' + str(data_modes.latitude[lati].data) + 'N]')\n",
    "ax0.set_ylim([-5500,0])\n",
    "ax0.set_xlim([-.4,.4])\n",
    "ax0.grid()\n",
    "# normalized modes + EOF \n",
    "ax.plot(norm_EOF,-1*z[good],color='k',linewidth=2,label='EOF norm')\n",
    "# ax.plot(norm_mode_check,-1*z[good],color='g',linewidth=5,linestyle='--')\n",
    "# ax.plot(fbm0_mode_norm,-1*z[good],color='b',linewidth=0.5)\n",
    "for i in range(np.shape(mode_test)[0]):\n",
    "    ax.plot(mode_test[i,:],-1*z[good],color='b',linewidth=0.5)\n",
    "ax.plot(mode_test[select_mode_ii,:],-1*z[good],color='r',linewidth=2, label=\"'best' mode\", linestyle='--')\n",
    "ax.scatter(mode_test[select_mode_ii,:],-1*z[good],color='r',s=10)\n",
    "ax.set_ylim([-5500,0])\n",
    "# ax.set_xlim([-.002,0.002])\n",
    "ax.set_yticklabels([''])\n",
    "ax.set_title('normalized modes')\n",
    "ax.legend(fontsize=12)\n",
    "ax.grid()\n",
    "# f.savefig('/Users/jakesteinberg/Documents/CPT/meetings/2022_07_01/mode_select_profile.jpg', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[5395.02294922,  209.91210938,  209.90136719,  209.84082031,\n",
       "         209.80273438,  209.70214844,  209.61230469,  209.4387207 ,\n",
       "         209.24560547,  208.93408203,  208.54711914,  207.96875   ,\n",
       "         207.21923828,  206.14086914,  204.71411133,  202.71972656,\n",
       "         200.07128906,  196.46374512,  191.73095703,  185.49536133,\n",
       "         177.56518555,  167.62060547,  155.66082764,  141.72174072,\n",
       "         126.30145264,  109.98895264,   93.72070312,   78.256073  ,\n",
       "          64.36129761,   52.3572998 ,   42.45690918,   34.48269653,\n",
       "          28.29089355,   23.51429749,   19.95050049,   17.25869751,\n",
       "          15.30711365,   13.83808899,   12.80190277,   12.01049805,\n",
       "          11.47290039,   11.0463028 ,   10.77410126,   10.54109955,\n",
       "          10.40850067,   10.27689743,   10.21789932,   10.13910103,\n",
       "          10.11870098,   10.06710005]])"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.concatenate((np.array([dz[0]])[None,:],dz[None,:]),axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 49)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.shape(dz[None,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1,1,figsize=(4,6))\n",
    "for i in range(np.shape(these_modes)[0]):\n",
    "    # ax.plot(other_norm_modes[i,:],-1*z[good],color='b',linewidth=0.5)\n",
    "    ax.plot(these_modes[i,:],-1*z,color='b',linewidth=0.5)\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# take select (best) mode and scale by surface velocity from CM to estimate bottom velocity "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(32, 49, 50)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.shape(select_mode_all)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = xr.Dataset(\n",
    "    data_vars=dict(\n",
    "        modes=(['lat','lon','z'], select_mode_all),\n",
    "        longitude=(['lon'], lon_in[data_modes.lon.data]),\n",
    "        latitude=(['lat'], lat_in[data_modes.lat.data]),\n",
    "    ),\n",
    "    coords=dict(\n",
    "        z=(['z'],-1*data_modes.z.data),\n",
    "        lat=(['lat'],data_modes.lat.data),\n",
    "        lon=(['lon'],data_modes.lon.data),\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds.to_netcdf('/Users/jakesteinberg/Documents/CPT/vertical_structure/CM_comparisons/selected_modes_cmN_2deg_globe.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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