{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8fdb667b",
   "metadata": {},
   "source": [
    "Discussion with Ankur: <br>\n",
    "1. Try to bin the scatter plot\n",
    "2. Total kinetic energy: U^2 x z OR U/z\n",
    "3. Filter only to capture sea-breeze"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0b802521",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:30.581950Z",
     "start_time": "2022-07-07T11:25:27.313353Z"
    }
   },
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eff6e17c",
   "metadata": {},
   "source": [
    "### Load time series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b7d77588",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:30.945828Z",
     "start_time": "2022-07-07T11:25:30.596910Z"
    }
   },
   "outputs": [],
   "source": [
    "tdif = xr.open_dataset(\"/bog/amuttaqin/Datasets/Derived/tdiff_MalayPenin.nc\")\n",
    "wind = xr.open_dataset(\"/bog/amuttaqin/Datasets/Derived/winds_MalayPenin.nc\")\n",
    "pblh = xr.open_dataset(\"/bog/amuttaqin/Datasets/Derived/blh_MalayPenin.nc\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6f2fea1",
   "metadata": {},
   "source": [
    "### Choose a segment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f0f041c9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:31.653721Z",
     "start_time": "2022-07-07T11:25:31.651772Z"
    }
   },
   "outputs": [],
   "source": [
    "seg=12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b3b93d78",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:32.220372Z",
     "start_time": "2022-07-07T11:25:32.112567Z"
    }
   },
   "outputs": [],
   "source": [
    "tdif_12 = tdif.sel(segment=seg).mean(dim=\"segment\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a80f5a7b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:32.892099Z",
     "start_time": "2022-07-07T11:25:32.474876Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f313adbb490>]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tdif_12.var235.groupby(\"time.hour\").mean(dim=\"time\").plot(x=\"hour\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2b63f08a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:33.008590Z",
     "start_time": "2022-07-07T11:25:32.933460Z"
    }
   },
   "outputs": [],
   "source": [
    "wind_12 = wind.sel(segment=seg).mean(dim=\"segment\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0f835f79",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:33.418510Z",
     "start_time": "2022-07-07T11:25:33.138781Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f3138c5d710>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wind_12.spd.groupby(\"time.hour\").mean(dim=\"time\").plot(x=\"hour\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e2c90a44",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:37.059082Z",
     "start_time": "2022-07-07T11:25:33.730112Z"
    }
   },
   "outputs": [],
   "source": [
    "pblh_12 = pblh.sel(segment=seg).mean(dim=\"segment\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cb533f3f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:37.366459Z",
     "start_time": "2022-07-07T11:25:37.110232Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f3138bb2410>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pblh_12.var159.groupby(\"time.hour\").mean(dim=\"time\").plot(x=\"hour\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5dd2705",
   "metadata": {},
   "source": [
    "### Remove seasonal cycle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "21f87b03",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:37.637019Z",
     "start_time": "2022-07-07T11:25:37.418179Z"
    }
   },
   "outputs": [],
   "source": [
    "tdif_12_clim = tdif_12.groupby(\"time.hour\").mean(\"time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3ec3b6c0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:37.785393Z",
     "start_time": "2022-07-07T11:25:37.694356Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f3138b46250>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tdif_12_clim.var235.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a691dd94",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:38.072895Z",
     "start_time": "2022-07-07T11:25:37.844502Z"
    }
   },
   "outputs": [],
   "source": [
    "tdif_12_anom = tdif_12.groupby(\"time.hour\") - tdif_12_clim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2ebb59fa",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:38.150709Z",
     "start_time": "2022-07-07T11:25:38.138628Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "  float: left;\n",
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       "}\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",
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       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
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       "\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.Dataset&gt;\n",
       "Dimensions:  (time: 262992)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1991-01-01 ... 2020-12-31T23:00:00\n",
       "    hour     (time) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23\n",
       "Data variables:\n",
       "    var235   (time) float32 -1.663 -1.286 1.466 3.006 ... -3.574 -3.914 -4.198</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b1758f36-25bd-4be6-b114-3b0599a3cd25' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b1758f36-25bd-4be6-b114-3b0599a3cd25' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 262992</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0fc61c6c-66d8-4141-ba08-fce34d7f665f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0fc61c6c-66d8-4141-ba08-fce34d7f665f' class='xr-section-summary' >Coordinates: <span>(2)</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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1991-01-01 ... 2020-12-31T23:00:00</div><input id='attrs-92490af9-913e-4cfe-aaa2-986f19b92ee2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92490af9-913e-4cfe-aaa2-986f19b92ee2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c2226be-9397-43ea-8993-9bb8a1e61ca6' class='xr-var-data-in' type='checkbox'><label for='data-0c2226be-9397-43ea-8993-9bb8a1e61ca6' 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>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1991-01-01T00:00:00.000000000&#x27;, &#x27;1991-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;1991-01-01T02:00:00.000000000&#x27;, ..., &#x27;2020-12-31T21:00:00.000000000&#x27;,\n",
       "       &#x27;2020-12-31T22:00:00.000000000&#x27;, &#x27;2020-12-31T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hour</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 18 19 20 21 22 23</div><input id='attrs-c58bda76-983f-4bae-a7d4-d9b2ca9f2fac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c58bda76-983f-4bae-a7d4-d9b2ca9f2fac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54f6ea2b-275b-4f9b-b1b4-3d289155d7af' class='xr-var-data-in' type='checkbox'><label for='data-54f6ea2b-275b-4f9b-b1b4-3d289155d7af' 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, ..., 21, 22, 23])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1a13c4ca-e104-49a5-ab9c-41b4c144a14b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1a13c4ca-e104-49a5-ab9c-41b4c144a14b' 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>var235</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.663 -1.286 ... -3.914 -4.198</div><input id='attrs-ccf1b1bd-5f3f-4c35-b43e-24e3113bee2e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ccf1b1bd-5f3f-4c35-b43e-24e3113bee2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e828e68-345e-4c8d-998c-c52d75fc6965' class='xr-var-data-in' type='checkbox'><label for='data-6e828e68-345e-4c8d-998c-c52d75fc6965' 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([-1.6628265, -1.2855222,  1.4656986, ..., -3.5737643, -3.913505 ,\n",
       "       -4.197969 ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e935e5af-ed72-4ba1-be3f-5ee6983da818' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e935e5af-ed72-4ba1-be3f-5ee6983da818' 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:  (time: 262992)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1991-01-01 ... 2020-12-31T23:00:00\n",
       "    hour     (time) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23\n",
       "Data variables:\n",
       "    var235   (time) float32 -1.663 -1.286 1.466 3.006 ... -3.574 -3.914 -4.198"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tdif_12_anom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "de13f703",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:38.351374Z",
     "start_time": "2022-07-07T11:25:38.214021Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f313abbb750>]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tdif_12_anom.var235.sel(time=\"1991-01\").plot()\n",
    "tdif_12.var235.sel(time=\"1991-01\").plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5b611099",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:38.923284Z",
     "start_time": "2022-07-07T11:25:38.727451Z"
    }
   },
   "outputs": [],
   "source": [
    "wind_12_clim = wind_12.groupby(\"time.hour\").mean(\"time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "63c3cc30",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:39.326637Z",
     "start_time": "2022-07-07T11:25:39.236843Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f313ab84650>]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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A11NDTwIPA12neH40MEhE1otIvojc1dtFInKfiOSJSF5FRYWPSlUqsKzYUcqgqDBmZuu0UCDLTYtld1m9rVtU+ywIRGQ+4DbG5J/mslBgKp5Rw1XAj0Rk9IkXGWOeN8ZMM8ZMS05O9k3BSgWQ1o5O1hS4uWJsKmEu3dMRyHLTYjnW1I67vtXqUs6ZL99hs4HPi0gx8AowV0QWn3BNCbDCGNNojKkE3gcm+rAmpWzhw6Iq6ls7dFrIBnLSPMufBTZeMPZZEBhjHjXGZBhjMoHbgbXGmDtOuOwN4BIRCRWRKGAmnoVlpRxtTWE5UeEuZo1ItLoUdQa5aZ6dQ7ttvGDsj11DnyEiCwGMMYuMMQUisgLYhmcd4QVjzA5/16RUIDHGsK6wgtkjk4gMc1ldjjqDQdHhpMVF2nrnkF+CwBizHljv/XjRCc/9Gvi1P+pQyg52l9dzpKaZB+eOtLoU1Uc5abG2DgJdhVIqwKwt9OyivixXb6uxi9z0WIrc9bR3nmqDZGDTIFAqwKwtcDN+SBypcZFWl6L6KDctlvZOw4HKRqtLOScaBEoFkGONbWw6dIy5OToasJNcm+8c0iBQKoC8v7eCLqPTQnYzIjmG0BCx7c4hDQKlAsiaAjeJ0eFM1LMHbCU8NIQRyTG2XTDWIFAqQHR0dvHengrm5KTo2QM2lONtNWFHGgRKBYhNh2qobW5n3hidFrKj3PRYjtQ0U9vcbnUpZ02DQKkAsbbQTWiIcPGoJKtLUefAzncYaxAoFSDWFpYzIyuBuMgwq0tR56B759BuG7ak1iBQKgAcrm5iT3kDc3W3kG2lx0cSFxlKgQ1HBKdtMSEi9cApm2wbY046dUwpdfbW7fbcTaxBYF8iQm5anC2nhk4bBMaYWAAR+SlQBvwNEODLQKzPq1PKIdYWuslMjCI7OcbqUtR5yE2P5fVNRzDGIGKfnV99nRq6yhjzrDGm3hhTZ4x5DrjZl4Up5RRNbR18uK+KubmpVpeizlNOWiwNrR2UHGu2upSz0tcg6BSRL4uIS0RCROTLQKcvC1PKKT4sqqKto0unhYJA94Kx3W4s62sQfAm4DSgH3MCt3seUUudp7W430eEuZmTp2cR2l3N8C6m9dg716TwCY0wxsMC3pSjlPJ5DaNxcMiqZ8FDdxGd3MRGhDE0YYLudQ31654lItoi8JSIVIuIWkTdEJNvXxSkV7ApK6ymtbdFpoSCSk2q/nUN9/RXkJWAJkA4MBpYCL/uqKKWcYm1hOQBzcpMtrkT1lzHpsRyobKSl3T7LqH0NAjHG/M0Y0+H9s5jT3F+glOqbtYVuJmTEkxKrh9AEi5y0WDq7DEXuBqtL6bO+BsE6Efm+iGSKyHAReRh4W0QSRERXuJQ6B1UNrWw+XKPTQkHGjjuH+np4/Re8f9/PpyMBAe7xfq7rBUqdpff2VGCM3k0cbDITo4gIDaHQRqeV9XVE8Agw0RiTBfwvsBW42RiTZYzREFDqHKwpdJMcG8H4wfFWl6L6UagrhFGpMewut8+IoK9B8ENjTJ2IXAxcAfwFeM5nVSkV5No7u3h/TwWX5STrITRBKDctjoLS4AuC7uXv64BFxpg3gHDflKRU8Ms/eIz6lg5tKxGkctNiqWxopbKh1epS+qSvQXBERP6I5+7id0Qk4iz+rVLqBGsL3YS59BCaYPXp2QT2GBX09Yf5bcC7wNXGmBogAfheX/6htz/RZhFZdpprpotIp4jc0sd6lLK1tYVuLsxOJCair/s1lJ10t5qwy86hvraYaAJe7/F5KVDax+/xEFAA9Hp2gYi4gMfxBI1SQe9QVRNF7ga+NGOY1aUoH0mOjSApJtw2O4d8Or0jIhl41hVeOM1lDwKv4Wlmp1TQ676bWLeNBrectFjb7Bzy9Tz/k8DDQFdvT4rIEOBGYNHpvoiI3CcieSKSV1FR0e9FKuVPawrdZCdHk5kUbXUpyoe6Tyvr7Ar8Jgw+CwIRmQ+4jTH5p7nsSeARY8xpm3IYY543xkwzxkxLTtaeLMq+Gls72LC/mrk5OhoIdrlpsbR2dHGwqtHqUs7IlytVs4HPi8i1QCQQJyKLjTF39LhmGvCK90i3JOBaEekwxvzLh3UpZZn/FFXS1tnF3DEaBMGuZ6uJQD+C1GcjAmPMo8aYDGNMJnA7sPaEEMB7Z3Km95p/AA9oCKhgtq7QTWxEKNMztUVXsBuVGkOIYIsFY7/fCyAiC0Vkob+/r1JWM8awttDN50YnE+bS23CCXWSYi8ykaFtsIfXLJmZjzHpgvffjXheGjTFf9UctSlll59E63PWtXKa7hRxjTFoc24/UWl3GGemvJUr5ydpCNyIwJ0c3PDhFTlosh6qbaGztsLqU09IgUMpP1hS6mZgxkKSYCKtLUX6S232YfYDfT6BBoJQfVNS3sq2khnk6LeQoduk5pEGglB+s3+3GGHR9wGEyBg0gOtwV8DuHNAiU8oN1u92kxkUwbnCvLbdUkAoJEUanxQb8ziENAqV8rK2ji/f3VDI3NwXvzZPKQXLT4igsq8eYwG01oUGglI/lFVfT0NrBZdpWwpHGpMdS29xOeV3gHlKjQaCUj60pdBMeGsLskXoIjRPlpHp2DhWUBe46gQaBUj5kjGHlrjJmj0gkWg+hcSQ77BzSIFDKh3aX13O4upkrx6VZXYqySHxUGOnxkQG9c0iDQCkfWrmzHBGYp91GHS03wHcOaRAo5UOrdpUzeehAUmIjrS5FWSgnLY59FQ20dfR6RpflNAiU8pGjNc1sP1LLFWN1WsjpxqTH0t5p2F/ZYHUpvdIgUMpHVhd4zia+clyqxZUoq+V09xwK0OkhDQKlfGTlznKyk6MZEeCnUynfy06KIcwlFJRqECjlGLXN7Xy8v4ordVpIAeGhIYxIjmF3gN5LoEGglA+s3+2mo8twxVidFlIegbxzSINAKR9YuaucpJgIJg8daHUpKkDkpsdRWttCbVO71aWcRINAqX7W2tHJ+kI3V4xNISREm8wpj+4F48IAnB7SIFCqn320r4rGtk5dH1CfMaa71UQAnlamQaBUP1u5q5yocBezRiRaXYoKIKlxEcQPCAvInUMaBMr2jjW28b2lW6lqsL7Nb1eXYfWucubkJBMZ5rK6HBVARMS7YKxTQ0r1u5c2HmJpfgkrdpZZXQpbS2pw17fqbiHVq9y0WPaU1dPVFViH1GgQKFszxrA07zAAG/ZXW1yNp7eQK0SYm6NBoE6Wmx5HY1snJcearS7lMzQIlK1tPFBNcVUTcZGhbDxQbflxgCt3lTMzK4H4qDBL61CBKVB3Dvk8CETEJSKbRWRZL899WUS2ef98KCITfV2PCi5L8kqIiQjlG3NHUlbXwqHqJstq2V/RQJG7gSt1WkidQvdpZYF2Y5k/RgQPAQWneO4AcKkxZgLwM+B5P9SjgkR9SzvvbC/l+omDmeM9D3jDAeumh1bt8jSZu1yDQJ1CdEQowxKiAq75nE+DQEQygOuAF3p73hjzoTHmmPfTj4EMX9ajgsuybaU0t3dy27QMRqXEkBAdbuk6wapd5YwbHEfGoCjLalCBLzctNuDOL/b1iOBJ4GGgL6cx/B9geW9PiMh9IpInInkVFRX9WJ6ysyV5hxmdGsOkoQMREaZnDmJjcZUltVTUt5J/6JjuFlJnlJseR3FlIy3tnVaXcpzPgkBE5gNuY0x+H669DE8QPNLb88aY540x04wx05KTk/u5UmVHe8vr2XyohtumDUXE08ZhZlYih6ubOVrj/x0ZawvLMQa9m1idUW5aLF0GfvlOAa/ll5BXXE1FfaulGx1Cffi1ZwOfF5FrgUggTkQWG2Pu6HmRiEzAM3V0jTHGml/nlO0syTtMaIhww+Qhxx+bkZUAeHYS9XzcH1buLGfIwAGMSY/16/dV9jM9M4GRKTH87eODdJmDxx+PDncxLDGa4QlRDE+KYnhCNJmJUQxLjCI9fgAuH/at8lkQGGMeBR4FEJE5wHd7CYFhwOvAncaYPb6qRQWXto4uXt90hMvHpJIUE3H88THpccRGhrLhQJVfg6CxtYN/F1Xy5ZnDjo9OlDqV5NgIVn/7Uto6uig51sTB6iYOVjZSXNXEoeom9rjrWVvopq3z0xn1cFcIGQkDuOvC4Xx1dla/1+TLEUGvRGQhgDFmEfAYkAg86/0fqMMYM80X37ewrI7frNzD/AnpXD4mlegIv/+nq36yttBNVWMbt03/7N4CV4gwPTPB7wvG/95bQVtHl64PqLMSHhpCdnIM2ckxkPPZ5zq7DKW1zRyqaqK4qomD1Y0crGzy2c8tv/w0NMasB9Z7P17U4/F7gXv9UcPRmma2ldSwalc5kWEhzMtNZf6EdC7LTdGeMDazJO8wqXERfG7UyetFM7MSWFvoxl3fQkpspF/qWbmrnPgBYczITPDL91PBzxUiZAyKImNQFBeN9P33c8yvxXNzU/no+yl8UlzNsm2lLN9RytvbS4kOd3H52FTmTxjM50YnERGqoRDIyutaWL/bzcJLRxDqOnmvQ891gvkTBvu8no7OLtYWupmXm9JrPUrZgWOCACAkRJiZncjM7ER+fP1YNhyoZtm2oyzfUcYbW44SGxnKVePSmD8hndkjkwjT/7EDzmubSugycNu0ob0+P35IPFHhLr8FwSfFx6hpaufKcTotpOzLUUHQU6grhNkjk5g9MomfLhjPf4oqWba1lHd3lPGP/BIGRYVx9fg05k8YzIysBA2FAOBpMFfCjKwEMpOie70mzBXC1OGD/LZOsHJXGeGhIVzSyzSVUnbh2CDoKcwVwmU5KVyWk0Jrx3je31PJW1uP8saWo7y88TBR4S5mZCUwe0QSF41MZExanB5BaIFPio9xoLKRr192+knTmVkJPLFyD8ca2xgUHe6zeowxrNpVziUjk3TzgbI1ffeeICLUxRVjU7libCrNbZ28t6eCD4oq+WBfJet3e1omJUSHMys7kYtGJjJ7RBLDE6N026AfvPrJYWIiQrn2gtPftDUz23My2Mbiaq4a57sbvApK6yk51sw3zhBMSgU6DYLTGBDu4urxaVw93vPDpLS2mQ+LqvhgXyUfFlXx9vZSAIYMHMBFIxKZPTKJi0YkkhLnn90qTtLdYO6GyYOJCj/923ZCRjwRoSFsPODbIFi1qxwRmDdG1weUvWkQnIX0+AHcPDWDm6dmYIxhf2UjHxZV8kFRFSt3lbM0vwSAUSkx/NcVo7n2gnSLKw4enzaY632RuKeIUBeThw1kwwHf3qi+clcZU4YNIjk24swXKxXANAjOkYgwIjmGEckx3Dkrk84uQ0FpHR8UVfLPzUf4zpKtjEmPI+sUi5rq7CzJO8yoFE+Dub6YkZXI02v3UtfSTlxk/x8Sc6SmmZ1H63j0mtx+/9pK+ZtuheknrhBh/JB47r90BH+5ewZhLuG7S7fSGWBnk9pRd4O5L0wf2ue1mAuzEugykF987MwXn4NV3vOR9W5iFQw0CHwgLT6Sny4YT/7BY7zw7/1Wl2N7vTWYO5PJwwYR5hKfHVSzqqCckSne9gBK2ZwGgY8smDSYq8el8ZuVe9hTHlinEdlJe6enwdy8MSmfaTB3JgPCXUzI8M06QW1TOx/vr9bRgAoaGgQ+IiL8/MbxxEaG8u0lW2jv7MvZPOpEawo8Dea+MP3Mi8QnmpGVwPaSWpraOvq1pnW73XR2GQ0CFTQ0CHwoKSaCX9w4nh1H6nhmXZHV5djS0rzDpMT23mDuTGZmJdDRZdh0sKZfa1q5q4zk2AgmZQzs16+rlFU0CHzs6vHp3Dh5CE+vLWJ7Sa3V5dhKeV0L63a7uWVqxjk1dJs6fBAhAhv7cXqopb2T93ZXcPmYVL27XAUNDQI/+Mn140iMCec7S7cE1Dmlga67wdytfbh3oDexkWGMHxLPx/24YPzRvioa2zq1yZwKKhoEfhAfFcbjN09gT3kDv1utB7H1Rc8Gc+dzL8aMzAS2HK7ptwBeuauM6HAXF41I7Jevp1Qg0CDwkzk5KXxxxjCef38/+Qf9e4KWHXU3mOvLncSnMzM7kbaOLrYerjnvmqoaWnljy1GuHJem51aooKJB4Ec/uG4MQwYO4DtLtvb7TpZgsySvbw3mzmR65iBEPAfVnK/n399PS3vnGbufKmU3GgR+FBMRyhO3TqS4qonHlxdaXU7Aqm9p5+1tpVw/Mf2MDebOZGBUODmpsed9Y1lFfSsvflTMgklDGJmiN5Gp4KJB4GcXZidyz+wsXvzoIB8UVVpdTkB629tg7lwXiU90YXYi+QePnde9HIve20d7p+Gb80b1S01KBRINAgs8fHUO2cnRPPyPbdS1tFtdTsB51dtgbnIfG8ydyYysBJrbO9l+5Ny275bXtbD444PcOHmINhFUQUmDwAKRYS5+c+tESmub+fmyXVaXE1C6G8zdNq3vDebOpOeB9ufiufX76OgyfHOujgZUcNIgsMjkYYP42pwRLMkrYU1BudXlBISuLsMvlxcS7grhxil9bzB3JkkxEYxIjmbD/rO/say0tpmXNhzi1qkZDEuM6realAokGgQW+ua8UeSmxfL917dzrLHN6nIs98f397O20M0P5485qwZzfTEzO5G84mNn3Rb8mXVFGIzuFFJBTYPAQhGhLn572yRqmtp47M2dVpdjqQ37q3hi5W7mT0jnzguH9/vXn5mVQH1rBwWldX3+NyXHmnj1k8PcNm0oQxN0NKCCl8+DQERcIrJZRJb18pyIyB9EpEhEtonIFF/XE2jGDo7joXmjeGvrUZZtO2p1OZaoqG/lwZc3Mzwhil/dPKHf1gZ66l4n+PgspoeeWVeEIDoaUEHPHyOCh4CCUzx3DTDK++c+4Dk/1BNwFl46golDB/KDf+7gcHWT1eX4VWeX4aFXNlPb3M6zd0whJsI3p6emxw9gWEJUnxeMD1U1sTSvhC/OGMrggQN8UpNSgcKnQSAiGcB1wAunuGQB8Ffj8TEwUEQcd+J7qCuEP9w+CWMMCxfnO6ox3e9X7+HDfVX87Ibx5KbF+fR7zcxKYGNxNV19WCd4au1eQkKEB3Q0oBzA1yOCJ4GHgVPdyTMEONzj8xLvY58hIveJSJ6I5FVUVPR7kYFgeGI0T94+iZ1H6/jhv3ZgTPCfdfzengqeWlfErVMzzrunUF/MyEqgpqmdve6G0153oLKR1zcf4Y6Zw0mNi/R5XUpZzWdBICLzAbcxJv90l/Xy2Ek/AY0xzxtjphljpiUnn/0BJXYxNzeVb84bxT/yS3h54+Ez/wMbK61t5r9e3UJOaiw/XTDeL9/zwmxPx9AzHV/51Jq9hLmEhXOy/VGWUpbz5YhgNvB5ESkGXgHmisjiE64pAXr+KpgBOHPF1OuheaO4dHQyP3lzJ1v6oWNmIGrv7OIbL22mtb2TZ748hQHh/unkmTFoAOnxkaftO1TkbuBfW45w16xMUmJ1NKCcwWdBYIx51BiTYYzJBG4H1hpj7jjhsjeBu7y7hy4Eao0xpb6qyQ5cIcLvb59ESlwEDyzOp6qh1eqS+t1/rygk/+AxfnXzBEYk+6+Bm4gwMyuBDfurTzn19oc1e4kMc3H/53Q0oJzD7/cRiMhCEVno/fQdYD9QBPwJeMDf9QSigVHhLLpjKlWNbXzzlc10BNHB9+/uLONP/z7AXbOGc/3EwX7//jOyEqlsaOVAZeNJz+0pr+etbUf5ykWZJPbzDW1KBTK/BIExZr0xZr7340XGmEXej40x5uvGmBHGmAuMMXn+qMcOxg+J5+c3jOeDoip+syo4TjU7VNXEd5duZUJGPD+4bowlNczM9txP0Nv00O9X7yUqzMV9l+hoQDmL3lkcwG6dNpQvzRzGc+v3sWJHmdXlnJeW9k4eeCkfAZ750hTLTvjKToomKSbipPsJCkrreHt7KfdcnMWg6HBLalPKKhoEAe7H149lYkY83126lf0Vp9/2GMh+tmwXO47U8dvbJlnaruHTdYKqz6wTPLl6D7GRodx7sY4GlPNoEAS4iFAXz94xlfDQEBYuzqex1X5HXL6x5Qh/33CI+y/N5vKxqVaXw8zsBI7WtlByrBmAHUdqeXdnOfdenE18VJjF1SnlfxoENjBk4ACe+uJkitwNPPLaNlvdbFbkrufR17czPXMQ370yx+pygE/7DnWvEzy5eg/xA8K4++JMC6tSyjoaBDYxe2QS370qh2XbSvnfD4qtLqdPmto6+NriTQwIc/HUF6cQ5gqMt9volFgGRoWx8UAVWw/XsLrAzX2fyyYuUkcDypl80+FL+cTXLh3B1sM1/L93Chg/JP74b7aBpqapjbe3l/LKxsMUVTTwt3tmkhYfODdnhYQI0zMT2HCgGnd9K4OiwvjKRZlWl6WUZQLjVzTVJyLCr2+dyLCEKL7+0ibcdS1Wl3Rcc1snb209yr0vfsL0X6zmB//cQVNbB0/cMpGLRyVZXd5JZmYlcLCqifW7K7j/0hE+63qqlB3ou99m4iLDWHTnVBY8/QEP/H0TL993oWVTLh2dXXywr4o3Nh/h3Z1lNLZ1khoXwVcvymTBpCGMGxznk7MF+sPMLE/focTocO6a1f8H4ShlJxoENjQ6NZbHb5nAN1/ezI/f3Mk3544iNS7CLz90jTFsLanlX5uPsGxbKZUNrcRGhjJ/wmAWTB7MzKxEXCGB+cO/p7GD47hgSDx3XDiMqHD930A5m9hpBwrAtGnTTF6e3oAMnr35//OfAwAkRIczJj2WselxjB0cx9j0eLKTo897tGCMobqxjSM1zawucPPmliMUVzURHhrCvNwUFkwazJycFCLDrLlBTCnVNyKSb4yZ1utzGgT2ZYxh06Eadh6tZdfROnaV1lFYVk9bh6c3UXhoCDmpn4bDmPQ4xqTHEuvdHdPc1klZXQtltS246z1/l9W14K5rPf54RX0rbd5eRyIwKzuRGyYN4arxacQP0F02StmFBoGDdHR2sb+ykYLSuuPhsPNoHdWNbcevSY+PpKG1g/qWk29Oiwp3kRYXSWpcJGnxkaTERZAWF0laXCSThw0KqN0/Sqm+O10Q6ORokAl1hTA6NZbRqbEsmOQ57M0Yg7u+9Xgw7HM3EBsZSor3B3xafCSpcRGkxkUeHy0opZxDg8ABRIRU72/5l+WmWF2OUirA6H0ESinlcBoESinlcBoESinlcBoESinlcBoESinlcBoESinlcBoESinlcBoESinlcLZrMSEiFcDBc/znSUBlP5ZjZ/paeOjr4KGvg0cwvw7DjTHJvT1huyA4HyKSd6peG06jr4WHvg4e+jp4OPV10KkhpZRyOA0CpZRyOKcFwfNWFxBA9LXw0NfBQ18HD0e+Do5aI1BKKXUyp40IlFJKnUCDQCmlHM4xQSAiV4vIbhEpEpHvW12PVUSkWES2i8gWEXHUmZ8i8mcRcYvIjh6PJYjIKhHZ6/17kJU1+sMpXoefiMgR7/tii4hca2WNviYiQ0VknYgUiMhOEXnI+7jj3g/gkCAQERfwDHANMBb4ooiMtbYqS11mjJnkwP3SfwGuPuGx7wNrjDGjgDXez4PdXzj5dQD4nfd9MckY846fa/K3DuA7xpgxwIXA170/E5z4fnBGEAAzgCJjzH5jTBvwCrDA4pqUnxlj3geqT3h4AfCi9+MXgRv8WZMVTvE6OIoxptQYs8n7cT1QAAzBge8HcE4QDAEO9/i8xPuYExlgpYjki8h9VhcTAFKNMaXg+eEAOPlQ52+IyDbv1JEjpkQARCQTmAxswKHvB6cEgfTymFP3zc42xkzBM032dRH5nNUFqYDwHDACmASUAr+xtBo/EZEY4DXgW8aYOqvrsYpTgqAEGNrj8wzgqEW1WMoYc9T7txv4J55pMycrF5F0AO/fbovrsYQxptwY02mM6QL+hAPeFyIShicE/m6Med37sCPfD04Jgk+AUSKSJSLhwO3AmxbX5HciEi0isd0fA1cCO07/r4Lem8BXvB9/BXjDwlos0/3Dz+tGgvx9ISIC/A9QYIz5bY+nHPl+cMydxd7tcE8CLuDPxphfWFuR/4lINp5RAEAo8JKTXgcReRmYg6fVcDnwY+BfwBJgGHAIuNUYE9QLqad4HebgmRYyQDFwf/dceTASkYuBfwPbgS7vw/8XzzqBo94P4KAgUEop1TunTA0ppZQ6BQ0CpZRyOA0CpZRyOA0CpZRyOA0CpZRyOA0Cpc5ARDJ7dupUKthoEChlAREJtboGpbppECjVNy4R+ZO3d/1KERkgIpNE5GNvo7Z/djdqE5H1IjLN+3GSiBR7P/6qiCwVkbeAldb9pyj1WRoESvXNKOAZY8w4oAa4Gfgr8IgxZgKeO1R/3IevMwv4ijFmrq8KVepsaRAo1TcHjDFbvB/n4+nUOdAY8573sReBvnRyXeWElgXKXjQIlOqb1h4fdwIDT3NtB5/+vxV5wnON/ViTUv1Cg0Cpc1MLHBORS7yf3wl0jw6Kganej2/xc11KnTXduaDUufsKsEhEooD9wN3ex58AlojIncBaq4pTqq+0+6hSSjmcTg0ppZTDaRAopZTDaRAopZTDaRAopZTDaRAopZTDaRAopZTDaRAopZTD/X8xomzvHkiwDgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wind_12_clim.spd.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e67a9fa4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:39.943520Z",
     "start_time": "2022-07-07T11:25:39.713880Z"
    }
   },
   "outputs": [],
   "source": [
    "wind_12_anom = wind_12.groupby(\"time.hour\") - wind_12_clim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cf413403",
   "metadata": {
    "ExecuteTime": {
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       "\n",
       ".xr-attrs dt,\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 262992)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1991-01-01 ... 2020-12-31T23:00:00\n",
       "    hour     (time) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23\n",
       "Data variables:\n",
       "    spd      (time) float32 -3.376 -3.181 -3.223 -3.24 ... 2.767 1.501 1.603</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6819acea-392b-48f7-8526-0ec96cb29584' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6819acea-392b-48f7-8526-0ec96cb29584' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 262992</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9355a32a-74ee-4fdc-a614-d24fd7d3e550' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9355a32a-74ee-4fdc-a614-d24fd7d3e550' class='xr-section-summary' >Coordinates: <span>(2)</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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1991-01-01 ... 2020-12-31T23:00:00</div><input id='attrs-578c7319-5046-4744-988f-baf31cfd5cf8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-578c7319-5046-4744-988f-baf31cfd5cf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-872cfa6a-2e16-4aa4-9356-4e7e81706376' class='xr-var-data-in' type='checkbox'><label for='data-872cfa6a-2e16-4aa4-9356-4e7e81706376' 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>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1991-01-01T00:00:00.000000000&#x27;, &#x27;1991-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;1991-01-01T02:00:00.000000000&#x27;, ..., &#x27;2020-12-31T21:00:00.000000000&#x27;,\n",
       "       &#x27;2020-12-31T22:00:00.000000000&#x27;, &#x27;2020-12-31T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hour</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 18 19 20 21 22 23</div><input id='attrs-1c53f461-2e56-46e5-9be4-15ed96cdb810' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c53f461-2e56-46e5-9be4-15ed96cdb810' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0629f0d-2557-47c4-b92b-c8ffc4f33ac8' class='xr-var-data-in' type='checkbox'><label for='data-e0629f0d-2557-47c4-b92b-c8ffc4f33ac8' 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, ..., 21, 22, 23])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cff68934-acb7-4ad1-80e2-418b88f17ec9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cff68934-acb7-4ad1-80e2-418b88f17ec9' 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>spd</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-3.376 -3.181 ... 1.501 1.603</div><input id='attrs-5c80110f-ef8c-4cd2-ad16-0a4e72c41437' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c80110f-ef8c-4cd2-ad16-0a4e72c41437' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4409bcbd-c374-4d53-80dc-601b55c40709' class='xr-var-data-in' type='checkbox'><label for='data-4409bcbd-c374-4d53-80dc-601b55c40709' 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([-3.3762674, -3.1810856, -3.223467 , ...,  2.7666917,  1.5010257,\n",
       "        1.6029973], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3dccff64-acff-4d9b-859d-a6cfe6029e45' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3dccff64-acff-4d9b-859d-a6cfe6029e45' 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:  (time: 262992)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1991-01-01 ... 2020-12-31T23:00:00\n",
       "    hour     (time) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23\n",
       "Data variables:\n",
       "    spd      (time) float32 -3.376 -3.181 -3.223 -3.24 ... 2.767 1.501 1.603"
      ]
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     "start_time": "2022-07-07T11:25:40.445122Z"
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Lafh5cUvHHeqgIH3QSDogS0H+bVWWAqAmBXIpUrxKZSmQdaFJQUNjDpFLiJoDr98WU8gXOHDs68SgnWNfq/7fcIc7KcgZRy8+VDt5nZBTaiu6jxLCzWRW2br0+U+OWW4NQJ1OSd9b1Sn0UASdA7IUOpYLa2rL761jyPLyO0khWtrbiIL+NCMh0CKek0duaktBQ6MBkGYppLJW9lGuwIFVZwL/Pga0LVb/b7jDPRAra4aP/6Q2sqpgcx8ptE3bsWQpGAH0cpZCpBM471/FYxUpkDtFNWjmUISTFFoXAavPBYa3WsfQufdW4T6S3Ja295WPI1LQgeZ5Dt19cn5BapttCzRX8zuGO91TNp1xhHpVBpMbwk+kUCbTiQiwXD8eQAQ4w53ASmNcutJSmBC3iaHS1w5FmNlHUs1K62J7oZ+bpRCIls5LIMvBaMRouqXkc03XVrhr5nJXAU0K9USxCHxhKXD7J+f2cwv5ug31PuRB2jNQmpJaCe0rxKao8uOTxrfEGA9Sr7nOUkwEoTbxubILQgYRoMcnWmKUCzSHu6x0SVUwndxH6cnK40mLReDmNwI776n0beqL4W3AXf8+M8UtPSnOmVyzEu0VVeJE+OViCiXuI3vPLctSkJSJ5CgQbC/tzFtjaFKoJ/Y+Kn7sR78zt597678A158LTC4Q/24tkUua2lpJSmoldK8Rt6oWykQKbUuMxy798mcLeXNpXSz66TgLpcxjDQJkzH1MJOeG+6jL2qjKuY+AytPe4gPA87cCN76q4tepK37+BuCh/wEmXpz+/2amhDYvN6aL9osCNCLIsoFmh+UoW3iAZYHIKc6xg4J46gxNCvWEanOYC5DPOjlS/jiNUmQTJZZCJOBFoViFpdBltLyohhSydcpAMjeXsGiKB7j7+SUCdB0on5kSfZ3CneVJITUBtC8X9yu5kJol7kByzKR1R3rS3hgRsNqpU5aQGymQ+0h2IWYTghA8xpasch9N7LXOcR2hSaGekDW0elaxlsC42HRLgukjmzDz9qlOoTXkE3UKldCxQtyqMnCIFKirZr0sBdJAg20WAU3uUx+bS1rV2W6WgllU1WVsVKw0mF4siM/tWSceOwuznJDlcXNtzQVofsHEnun/b3rSHk8ArBYVtJGbMQVHXUuwVXRUlV2I0lxwAGr30eRekeVUZ2hSqCfkLpSNGOgutyfQqA6ZmFlAlMjkwRjQHvYjl68y0OwLqTdh2ihM91GdLIXUhIgRBFqsNFK39tm5lJXt4jY7mK6hcKfQYkNtpe9Hj3sOF7fO7qtOULsPkrdRoE14Jm7W9JQVYyGYMRfjfFB8R1W8BtivgWzCiicApVZZLiXccu0rpi/rNKFJoZ6Q+9DPJSnQ1K1KGptGKSRSiGXyiAZ8aAn6kMxVodEyJjZ9lXvkof8Rt2QpuM3gnS3SE2JzYsyqvHYLIGcl7dSNFOi6jRgZL6H2UlKgY0xLoQIpyESQapDiUixav8FMZFC5j8yNfELcqnofAdWRQtARUyBFYyFaCowxL2PsCcbYnxoty6xRTc+YeoDyoiu5j+JDwL6N9ZdnPiETMxdkIpNHS9CHloAPiYxLB1En2paWuo9iA5aLglon19NSMNs5U6qpS6aT7LLwBkvHQQJW0JgKppSkMCFu25aJ99txd/lKaltGTYNIIRuzhtrMRAYKNMug8y4Hmj1+0RdLBmUsyYpBLmknBV9AkHrGONd0/SzQmMIHATzXaCFqgkwMaDXcBXNFCpxbm0C5qVsA8J2XADdcqGspCMWi2CwMTS6eySMa8iES8E6PFJzuiCHpciYtsd6WAiD143EZ/VjMSZZCQH3cuJGZQ5uRqr9TmuIOHWKj3f0A8NMry8gokcK+x9yPqydma62UtRQoppAutRIAq9eU01JwDHayueooGL7QLAXG2DIAlwG4odGy1ASZmPUjzhUp5FIwA83lGq9xblkSC6U1QSXQRm1ogLF0HtGg4T7KVhkQbV8qfOZyAHVkm3Xf3BDqQAov3Cdy/2lz8vpEfCGvqGrOOSpo3QLN47uFYkMFWKH20jiA3JNn5RnifrlWHplJoPdIYNGxwPY7qvhidYC8HqdrKVBg3Rlo9gWFdm+6j9Lqjrqm+0i6BrIOSwEwrDJjDU/sFS1WSMmsI5qKFAD8D4BrARwaqmsmZmWkzBkpSGZ7OUtB1lRHt9dPnvkER6fKeCaP1pAPLcHpWApLRGbJwSet5yiw+tHtatdBrfCTy8UtuagAoamqLACzyM2IO6hSUjkH9m8Ceg6zngtES6ukyd/dthR4zfeB3iNE6wy3qu20saF2rW1ceipt3G1Lp28p0HXitBQAe6uTXLo08wgQrbPl9wHE9eAkhWCbpdhN7hXXlrf+I3CahhQYY68AMMQ531ThuKsZYxsZYxuHhysUyTQKg1uAwWfFjx7tFwtzrnyncuprud7+crxh6oAeyA5YKcRGUDWRMSyFgA+JbJWkcPil4vaZX0vvOyw0vGif8C/7I7WPKci/+ynvtO77guqYgrNYyhcqPW5wMzDyPHDMaxzv5yCZqf0iZTUQEefu+KtEfMKtGV96Umx47cuEq60R1x4paV1rpr82zXYTnaWvyTEXN0uB4jNyHZEzJZXei+ScoxoFoIlIAcCZAF7JGNsN4OcALmCM3eQ8iHN+Ped8A+d8Q29v/av7ZoTvngF893ShUQVbq2+pXA32/M3uo3aiWktBXggTe4DPdgAbfzBr8eY16Lz2itbY5D6KBHxI54rVFbC1LwM6VtpJNz4oCIEQUHTJnC1IO/2HbwDLNljP+0JCY3WCPp+0U2+gNNC851Fxu+Z8+/uVkMIBoXETaLN0u+bJH9+2RLi2am1FP/9nYNOPyx9D56t7rdDGpzM3myw/yiSTIcdc8hl1TCHSJdx1sts2m7S3zACE65kCzHNUowA0ESlwzj/JOV/GOV8F4CoA93DO39xgsdyx+TfAd8+snJNdS1LIpYEfXAxcd477MaQBhjutzAUVZFKgzo5/+vDsZZzPGHpWLOKu1QCAiWQOHRE/WoIieyRZrbXg/L0TQ3ZSCCoaos0Wzv7+BJUFIB9vBqUVFsBTNwOdqy0XKKAOSFMXVUI5UuBckGTrIuu4Wg8duvkq4I8fKH+MaSmstT+uBuTyalP4922WQkpNCoyJTrtTBrlwbriPHJZC92FCuUiMiM9cgJbC/MItHxTmNWlTbjBJYWL2n7n7QXGrSh0kECm0LQVS5UhB0mQnZlDmfyggPQnc/q9Whs3gFqB3PeDxIp0rIJUroCMSQCQg/LiJTJXBZicpxIfqbyk4x0MS3EiBrkdKo3SmpKbGRTzhpLfY+/vQ+8kun0zc8pMDFtGoNtrMlLBmWxdZG2a59t6zQbk6ndS4+M60sU/HhVSOFOSYgpulAIj1ST2XKDnE6T4iwtp1v4hTLTRLQQbn/D7O+SsaLUdZ0CKniVNuiHTXzlKg9D23Cw2w3Efty4Wl4Do4xSCFUIe9zH82cmbiwNePAX7/npm/x1xi82+AR79taZVDzwJ9RwMAvnG3CL63hy1Loeq4gjxsp1gUpNAikYIq13+2cPb3J7jFFErGSTosgMFnxe2i40rfD9zubsnGrKwqwMrKUVlD1BeqdbEVhK0XKQw96/5aekL8TlSUN52W37GDggSDraWvURyAUsNVMQUAWHWWqBGKDUiBa4eV120E+Hcac6+1pdAgFHLAfV+0VyOrUDQ2CGfzM6dvMtJTfiLXdDC4Wdzm02WqVA1LoXOluHUrYEuOisrnzpX2gNfIjpnLt+W3wvf55E+bP3CdzwD3fUncT46J8xYfNDNtvnvfTgAGKRiWQrJaSyHUAYzuAF58xNggCvaMoJaeyp1EpwtKKlC6jxTXitN95HW4j0aN64BaV8jvB9jTVzNxuz/cLcMqPQVcf564375MqqNwKa4r5MQkM1VMxA0FibgHy5BCalwoaz2Hi1TPp39Z/WdMHXAftNR/tLCGRra7Zx8BwIrTAXBgdKfUr8pB6J2rxBqlaW79x1Qv4yygScGJnfcC930B+PU7yh9HP6SzE6kzq6SlR2Rm1IIU5G6ObrEMshTID+y2+SRHhVzODIpycYhySE8Ct7y/snzNgviQaOEMCDOe0iodvWWy+SIi07UUVp0lbm/7qJXRJLuPWvpERlItkXGxFPwK91GxIFxl8jwAn6NOgdI0nVO+VAVxUhNBAO6kMLbTur/sVMtd4pal9ODXgV+9Dbj/y+rXVZCVoHKWQnwYaOkV5LT8NLE5V4upA2rXEWBs9gAOPFHeUjAzkEbVA3sAYb21LxfnsXUx0NqPuYAmBRnFAvDCveJ+uc6JnFs/pHPTdVZ7kvson5q9mTyxx3JDuOVWU3uBDrIUXPyqyVEhm7OpV6VUSdKqndj1gLg13C+mptmsIFJfdoogtINPi8eG39brEX70l6ztNi2FqmsVjr0SOOMDomgtZvifZVKI9olNfDoacCWQq0benAF19tHjPxFBZF60WjVToJksvNS4yEhy+rlpdCcRTSEnyESOKVBGk/M6Gd8tbq++T3wuFcS5nYcDT4jbnfeqX1fB1lXUpTssYM8Ia+muTmkrFoGH/lckZrgVkZGSlY2VjynIpECErnJH0XPHlqkQrzE0Kcj42eutgTixgfITq7jxmjOY5awNCLVXTtGrBtmE+P/Fx4vHboExKizqPULc7n+89BjOxaYd6bYCjQQnKWz8IfDV9ZY77curgR9cWvqe9N0u/g9xW25BNgPod1p+mri95z/FrTGD4LDeKC49ehGWdoTREjRIodqqZkAErAtZKzmAZhsA1mY0k9GVxaJ6E6UgsXMesCqmQKm3F3zaes5rxArILUrT1uQgM1BqKZgFf7KlUIEUyFduNuxzIQUK6I5sr94dSaTAPPZurE4khi0FK9xZXQHbnkeAuz4tNPfOVepj5O/uln0EWLGM5Kh0DttKjyPLZ90lleWrETQpEEZ3AjvuEvcDUdEXxq39A114gVZBCvIFS77aV98AvG+TWFSVSOG5PwLfOKG85kibcr+hiZe1FJjIv15xBvDsH0qPOfiUMK2XbbAsBY9RKekkhedvE26WLb+zLJ2Bp0vfk86JkeOPqWYnBeN3WnmmuJ140WgjIHzF6XwBIb9YHmZKarWWAmAFaLf8HgCza5YUX5iJi+0v/w58blFpNls+IzZCZ8WrL1waU0hPCrfEOR+VjiMLwDiWfO5OOJvsmfUOEil4vOJzne6j8d0ixkbarxlodnEf0aaejZXf4GXQ9dt7hPv/ZJNCNppiFu4SSlY54ikWgR+93HpMHWGdIKLLJstbCv6wGHCUHHN3HwHA2gvFLSmDcwBNCgRyF738q8BrfyTuuxWJ0YbStUpoA7KmQ6/1rrfaA1QihduuBcZ3AXsedpePLnAiBVdLweihwpjoQzO4pbRjJdUlnPgWy1Iwh784SIEW+8BmYGyXu3z0f9F+scgabSk8e4voBeQGIrGedZYfniqOIaauhfziPqWkxqdDCv1Hi8Dh+C5xbuW5ui3GZkSk8OwfgJjLyEwnHv5fALx0vnEha7l2ZKgshcl9dssFsCwMkxQmXEjBaSm4uK1UtRjju+0atkkKKssnL87P8peIx3L/qHKgDbbncLHeVN1a5cFBgNDai7nyg7D2/s3+2JmVRfB4xGafjRvjTkNIZPL45G+fxlN7J+zHtvQIa9GtxgQALvtv4P2PqwmjTpgWKTDGYoyxKbe/egk5JyAzbfU5wIqXAGDAgSfVx9KFRyli6UngN+8S2SYZBevTgnG76Ehj2ft3d/nIUug7Sty6EYzcbbH/KOHmIrOdMLrTyDxaZe+o6W8pJQX6PoPPlG+cl54S/+/1iaZwjZwPHRsEfvkW0QvI2QG2WADu/LQgS0AQwkWfFfeloGAqa5FCS8AINFebfQQIcll0rLhvFMOZMC2FQRHw/OVbgW8oNhmnhi9/F2d2XCFb6joC1HUKFE+yHWf8b6FaS8E4TmUpAEIxUbmPKCuOZAPUDfsyUwC4sRYBDFdJCnT9LjlB3MrBbQLJRRYL/R5uiszm3wA/lFymr7vR3g/KiUBEyM8LgC+Ex3aP4ea/78Vrv/eI/bi2JaKALT4gfjtVLyV/SFj9c4hpkQLnvJVz3gbRuO4TAJYCWAbg4wD+q+bSzSXMvvGGedux3L1RHDE7aVsHngCe+aXIWFLli9OCcQvikpY4UqYxHVkKHcvF5us6TUvqtkiah3NxTu23tFfKoogdFN+7pC2yQQpDW8tXnmak8YTtyxtrKciD2CmNl3DgCaFt09CbYJu1+Um1BOl8EUHDfeTzehAN+jCZmkYrBECQMlCqlZOlkBi2iNa5cd/7eeC/+uwN42R3jNM1ks/YrRGCylJw9u6n4+h9gDKk4NjI6ZouIYVo6XWXHLfmGAPl6xTkaW7eIDBZ5chMkmep0epj4JnSY2g+Np0Dcs1QYNuJx75vf3zEZeVlCLRYlrwviIOT4vxnC0WMJ6S6odbFIhEhZlR4O+M3DcJM3UeXcM6/wzmPcc6nOOffBfCaiv/VzEiMCO2ZFkL7CveNjTZHWuxU1ewPq/PF3QJvgNBcKeBYrltpbED4K4Nt6pGIBHmCk5kaqND+Sb61F4hFd/ZHRBrr+IulxwJCgxxwbLAy0tJ7ti0tH1PY8Rfgy2tnVxNRDnLqLmWTEYqSC8gbFJpY73rx+CXXiEOKHNl8ESGfNRylPezHRLJMJbkKR79K3C45yf68LyAstPigez3MX40aCjmLy0YKTkshp7YU/GFhRchWhqr5GrmeKGCdGi9NQgCsVgzklsm6uI8CLXZ5OS8tcvN4xRCacm04wh3Ge5UZ2iPDtBROFGv5MUUX/ozDuuk5XJCdU4EAhBtr79+AM94PXPJ54TZyDs1xwt9ieR58IZMUAGAkLll/NKUvdlDdR6lBmCkpFBhjbzKmpHkYY28C0MAJ3DVActSaQwsYHRxdNjbSpokUKPDqD4uLOdBqv3DKkUJi2EgN9Am3jluwKzZgaRPBCqRAC96td38mbr3m9QOfGgTO/hexOTortNNTYoEB9oEoTj+wNMYS7UuFfG6W0Z3/JlJlnX7aWoF+t5be0sly8nkjy6bvSOCT+8xuoBljHjO5jwCgs8WPielaCivPAD74lL1rKSHaL3zmMckSkDVmZny2vPlnylgKhYz4LZ1QTV9T9e6XLYVcWhCHylLwG/9HwWHnBktwuo9yKXGdO4/z+tXN6GSLO9BSfTp3NiYILhgF1r/c6i9kO4bcR4YsHq9QiCZeLD02MyUUibZlwOnvBa55oLIMgRbLwgu2YWDSkn08KX3X7sPE77L7gVJrsoGYKSm8EcDrAAwCGALwWuO5+QunSd2xXPywqjYRzpgC+ezTU8bwDYdv0NTYFaRAi3vV2UKzctMcYwOWNhFqd3fl5JKWNudGRllHBSqZrV1rhNUia2WZKWGKe/x2UnC6meTzR+fFLa5AxzljHbVCelJsqouOLSV2ORYj/05SjnjamMdM2UcA0BEOYHy6lgIg4jaqzTraJxQC2xzvCes+uVbkzZ8sPl/IKoojFLLqQiln1TDnLpaCRApmIFZBCuY1FbffOnPsnf2d3I7z+O3WG0EmBX+4dIaDG2TC84XUg4PMOIgkS8dKdW2SWW2sqCFwQ0uPRTDhThsR2K4hUrYAYYk0CWZECpzz3ZzzyznnPcbfFZzz3TWWbW6RS1npZADQs14EilRFWOlJcTGTb5hcLtm40RbYkSng9YtFp2qCRpWtlBqpCowBhom5SNwPtbnPSsgmLW2OLnrn58qWggy68EkLLBbE/0a6hSajyrKSP5cWI7VRdnMhEUm5fdfZIpcSm57K2pNJQZXtAZGOCtgthY6IH5PJaVoK5RDtM9xH0qYvy0Y1MjJp0HnrXleqPOTdso8c2ULUfM3ZkVMONJclBYf7qNqYgttxXl9lS8EfUVsKQ8+JZnHy52QT1vXvC6qVuowjpgCIAPjYrlJLvVy6qBuOe511P9KFqVQOyzrF3mJzQfYfI+pkVp1tBcabADMiBcbYGsbYHxljw4yxIcbYHxhja2ot3Jwin7YqLAHhUgDUpfJkDZDPlQrZsgn17FZAnY1B7wVYfm2VpcC53VKQJzI5kUsoLAUHKWQdXS0JzrxxOZNKrsgFSvPks3FL+yRT2M1SoE3H2TeqVsglxXdpXy4sH9nVJafyqn4nAOkcuY8kSyHin5ml4IaWPuE+mlKQQj5jBXJleclV03OY+G1kd1IhU4EUjPczJ665kEI+I23Iio3Q77A+swnh+nRaKc6YglvsweMX6aBOyA0bVTGF5Bjwg0uAH/8DcMNFVswkJ8XUvAEXS8HhPgKEVZmZEinEMhzT+KpCl7QVhrswmcphVbeQyeY+8vqAd94JvFVRS9RAzNR99DMAvwSwGMASAL8CcHOthGoISLskdB8GgLlbCqE2kYdORV+ApWUpSUGRjQFYFx1dSKpeRZmYuNhtloJbTEFyDfjDRmXngGj+RhpZJqa2FJzZIHLQ3EkKSveR8bkkp1txFm1+oy/Up3FeLiW+i9mvX4ptyD58F+2P3EdhOaYQCWAylUOxmkE71aDvCLFRvviwlfVEcsq/rWw90MbabRROyS6kQs7FfeTIKiI3TLlAs7kRKq5jr09YvfQ+5Ip0Zs44lSC6r4wpKNxHU/vF54faDPeRgxQOPinO0+pzheK2f6P1OXQd+oKlQXaSGbAIDpDiZo4YVEZaA9VCDhpHuhBL59HfFkLY78WD20ewfdARa6sUuJ5jzJQUGOf8Rs553vi7Cea0+HmKfNpefegPCU1T1SgrbVgKHk9pvvfUAfUFFGgpzQICrAXYsVwQjGojJevBJIV2d/eR7NtnTAT3/vY94L7Pi6pkc6BHS+n/0kZBC1hu6St3+QQUloLktvL6hStObq537+eBF/4qNux8CoguEq87feO1APnMVQ3X5NkRLtWmRApBiRTaw34UuZjGVhNQe41cwrIS6XzLRCDfp9epTYTsespXshSoAtk4F27uo3xGXWsjQ97wM3GXnj1RsSGT+8YscnMc63WxFCb3WfMD/JFSUiDiPMNoe06ZQ/IEM2dGFSETF9eqR9r++o8Ra/mZX9tJxHQfqa1KAOCcg8vKjZx2G2rHZCqH9rAfyzrDeHDHCF769ftd36sZMFNSuJcx9gnG2CrG2ErG2LUAbmWMdTHGumop4JxB1ea2e43aUpBTOukCoEBdamx67qNsHAAT7pyIoqVyIQf84k3iPpFCsE1YJXJxU3IM+PU77W4cwCrMovca2SYCe9FFpbKYmyjloEtakjNlTrYUOLe7rQB73COXFimWP3mltckddpG4LVewN1OQpaDKg5fTVV06XaYo0OyzWwoAMJGqkQtJJllqmUAkSpt9S6+LpUCkILka3dxHfkdMQaUlA/ZAcyWXiezOycZKtX/Aes60KFxiCh6X7KPJvVZsSuU+IqWkd7343pS0ICs8qjbfdEyJG8sLHPtaYPsdVjowUDHQ/OtN+7D6k7fh87dJ3Q88HpHJdsnnkecM8Uwe7WE/lnS4tNFuMsyUFF4P4N0A7jX+rgHwDgCbAGws83/Ni1yyVHPsWiuCoSXBJyluQPGExVJFqjK/2y2mYKRyejyisvm5W4C/XWe9vvfvVom/nH0E2K2Fh78JbP619VmEsz5k/47b7xT3j76iVBYnKchBNmqwZ8otfXY+IywSmYyCbdbmIscOaJNbc67YiOqRlkquQKelUMgLS2HV2eLxca9X/nvGJaYAOHzCs4G8yfQ4LAWKM/QfbSffjKFAdBuuRhsp5FyK1xzTzSjl2FklS/9byFTcCG3xArekBboGM3H7rfNYt5TU+LDVKlrlPiJLIdIlLHpK9pAzq0zrx0Hkzuw7wgWfErdyll0F99Fdz4rf4O6tDgv/yh8Ap78XSUPBaAl6sbTz0CaFjwM4nnO+GsAPATwF4DWc89Wc8/kZcM6rLIW14uJz9hlKT1mmNW2Wci8U5wYKlIkpTFkXaEuf+Lw/X2st4hGpbkC2FAC771k2wd0KYahYyhcudQcB7oHmYLvVcynaL9I9Zc2NjpcXWrDV+n/KMgq0Wucy2g8sPUlNCsWiIDlnIV21oECz8/tM7hXn6bjXA5+ZtJIJHLBSUuXsI7Fp1izYLKepdq0WrkOTFIwAff8x4nyRO4M2s1CH+A1L3EdVxBQGt4j/7XIsUzlLKRMDwEqtCYLsznFzRTrTod3aYXh8pe4jzu2tOJTuowlhZfgjwuIjt6tcvOmViE5Guey7Y19nr9XJxMTnuMxFyBeEwuj3qLdS2RX5qcvE9dbbqn6vZsFMSeFTnPMpxthZAF4K4EcAvjtbYRhjyxlj9zLGnmOMbWGMfXC271k1coo2txTQGzRK5WMDwL5N4oKknkGv+h7wqutEoQxB1dEwKOVtj+4UnVEBe9EXpbgCopMpYO+/RMeRpSD77GU/aPtS+2d/xLjI40PCPRXtVZfUOzdR0kSjvWLjeuMvRS/8QNS+SM0goov7iIjA47UshUiX6OOkitnsuAu481PAHf9a+lo1MN1HDsuHPqtCLxm3lFQAZlpqMpvHjqEKsyeqRetio8WIcb7ig4KIO1cJSzQ5IqzHwc3iOmJMaNGypeDMniM421MnhoRy4QxuyrGHTEwoHi4bXUlMQek+onRo6TiguuK1xIggCnLNEik4uxGH2o0uxB3WdWWrU3AQIiGbUMsMiOt8ap+VEkwKoEsLCip0HHNRFkyr0+dBJODDq05carNAVTg4mbLHKOYYM65oNm4vA/A9zvkfAChs12kjD+AjnPMjAbwEwHsZY0fV4H2r+GSFpbDyDLGonr1FPP7v9cANF4gLlCZS+cPA8VdZG/WSE9VtdeWF9Ot3AL94s3BlyKQQlUiB+iAROcggK0V2H8kFQG0OUmhdJLTOxLAxXERhJQCl7pbYQbF4yDI5/BKhlQUijmrVpP3/Abv7iMiwmLfnwEe6BcE6s0NefEjclmvAVw6m+8hBchQfIp+8C1QpqZ0OS+F/796Bi752Px7fU4OJekQKZvaRkchAFt/+x4X1uOt+azNrXWwP0ru5RJwVzc4sO4Ls7pGvSRXkaznrEmguKXKLibXkbO3tLF5LTQBfNX4fshQCDnKn48hNSzPQzdiW01Jwuo9c4iCA1TmVYhYVzkXGUCDGE1nlRp5xKBhBn8ckChW2D8Zw+hfuwY2PztBKrgFmSgr7GWPXQVQ138YYC87ivUxwzg9yzh837scAPAfRdK++4NzSLmUEo8D6lwHP/r4020fW6gFg6cnAq64H/vHP6s8ItFjaEmkhu+53WApS2ufEHiHXyDbRPvgtv5PkosHokkxyQFIVQKViKecQeZuMjsU3tV+8l1NLcprzpqUguRHkWgr63oWsnRTCnSIW4RwBSpWlM2mql0uJ7xjpLg00j+0Ucjl/OwfSikBzW0hsZhOGpbDlgJD57udqkD0V6RaWAZFCJiaIn35H2cVGbo/WRZb7iHO720SGM/vIaOdcAo/XavmcmSpPCn5JKci4BZod7iM3l43TUpBbZJvuI0drDcAe1wt3CuWikBUEUxJTqNJ9BFjDb2heiZxUogBZCvkiVzZMtBQMiRTy7qSwZ0x8x1ufVrTnkPCnpw9UPGammOlG/joAdwC4lHM+AaALwMdqJRQAMMZWATgRwN8cz1/NGNvIGNs4PKzI6Z8JClkAXJ2iuOIlwr/p7GDq3Fg9HuD417sP6g5ERSpmsWAtuPiAPaVP3qwm94oNNJcEjrpcNK4jhBQxBXnspkoGmgs8ub/UvWT+n8NSmJKqqG3fpQpLQXYfUeZJISs2Mm9QHGtOn3LEbCiWkBix57DHh4BbP1q+OdqLD4nzfNgFpd9ndKfwpVfoRulcyIDolNoW8pkVqcMxsdF8+96d+Pa9O7B/IoWv3fn8zMx+j8ceg6GNiCw+OUOLNsjWxZb7iDbDsqRgbIz5tL1yX0YwKj5bjpmpEGgR5zQTE9egyvJ0zml2s2ScKamyP5/cfKphPLILN9QhvhcVvJkpqVSl7bQUXAgUKJ19Qq40F5ACAcDW+M75etAnttqg32taDyqMGV1UK3Xk/dFDu3FTnayJmba5SHLOf8s53248Psg5v7NWQjHGogB+A+BDnHObis45v55zvoFzvqG3t7zGVzXMKk/FYqELwtmSITrNz5bNaaoujQ3YLzobKeyz0iedzbJU2UeJEZEt9ZFtUCLaK9oPZyat3kROeP0i8CenpDpnOAOlQXMz991hKWRjwjUkF4+NvSAWHmOSqe5wwZiNybid7B79DvDY/wGbfqSWHxAFcQDQf2xpS4bEUFXdKJ0LmdARCWDCKGDbPWp9/00vjuPqn2zE/96zA7tHq+zmCYhaBUoNlkkhPSket/SK30POhqENLtpvaPUx98IwQJqDLFU0qywFU4Zq3UdJY641V8fQnO4jt9iDMyVVbhVOwXDn7wiUWgqAZVmaxWuG+8jZhbWc9h92KCoVCDKTL2Jlt/i8/eOlrTjcLAU35WFwSsjqqaC4DEyl0d9Wn4D1rF0+tQZjzA9BCD/lnP92Tj6ULhqVpUAXhDMgWsEFUQIiHLnhmEkKlH0kFb0kR602EU5SCLQCYHb3UXJUWDWtCq0NsIbzAFZRkFLOiL2vjWpzKHEfxa3nCfR/2Zi9HcPoTmsR062zlUNy1Go3LfvN6f0f/a77/OzJPUJDbOkVm5DHb9V+JF1mBDiQzhUQ8Hng8dgXZkfEj4lkDgen0kjnivj8q47FiSs6kCsUsXtEbMwFZ3ykHN55J/BRQzOWYwrkPvJ4REW6nD1D55XILTYoZfYotF/nRDVnkaYMamJXDSlkJoHbPyHO79KTS49xDpaKHVArUl6fPaZAa/HNv7UsOpX7yBlTACRScNQpyO6jQl68jxspRMhSMK7J1LhaMTKQyRWxpkd83v6JUlKwYgoe49YrvNUFNSmQBZovcx1tHZjCvvEU+ttcfsdZoqlIgTHGAHwfwHOc86/N2Qeb7g+FpUDaiNNSmC4pyL5dIoWJPXb/rUwKiRErR53cLARyN5ClwLnY+JzV1TKOfrV1f/EJ7sfJOeFu1aqBCNQpqQ73ESBklHvgjO20vk9EYSmQlXDYheJ2623Wa+QemNwjZjKoMLFXkKjHI/zknSutOonUeOm5VCCdK9haXBAiAS9S2QJeGBbfZ3VPC6JBH/aPp5DIisWfzM6wg3xICszLmqzT9bHydHFLbr3YQeu3UAWQvT5hbdhiCm7uoyotBfqcgaeB094NtCiuO9rIM3FhLY5st+oxZHj89u+YTwulh35/oNR9xHl5S4E+m76DbKn+zUiSdNP+ZUuBG5aq6vsZyOQLWNoZxtKOMH7/ZGliBFkKQZ9lKdD/qUAV89sG4xhQuKMA4I3/Jzzq+Vq1XHGgqUgBwJkA3gLgAsbYk8bfyyv906xBDdPKuY/k9giAa96yK4gUskkrFnDwSQDcungjDkuBMiBUWk2o3XqfTEwsLJlUnPCHgDf8XMygdo6HtB1ndKTceqvQBpWk0GpfaKb7SK5ToGB4rNQv67QUUpKlQAt73SViNOpzt1ivxQZE3/uOFcC9n1PLf+AJe/1B1xrR/TKfEZkpqsJCB9K5ojJtMOT3Ip0v4LHd4/Aw4KjFbWgJ+PDCiOVKmtbIThlE8pwbA4uM827MeAAgEhnO/LC4b1oKA+XdR4AxklOyFMrFvTKxisFV2+e89D/Vx3g8InienhDElUuqR1g6A835tLq5HmC5wJ7/s4hDOK8jylYLlCGFOz9lf82JULuow0mNi/OaT5dVADP5IsJ+L156VD92DpV2QXa2YSdSSLtkIMlzwF/5rQeVx/QZdQ4XH+XiFZglmooUOOcPcs4Z5/w4zvkJxt9tlf9zliAfvyoARxrFbMdL0oVOU9ZkrYkuUH8IeNufgHOuFfnpFFNQ9paRsntoMThTUZ1Y/zLg1HeVP8YfEd/1528Uj1UbTaTLvpGrmqyZC3JKLMqOFdZrtIhDHQCY3X0k1zFQszN6feqA6Hv/kveKVF2nS2/qoLA0Vp1lPde1VlgK9B7hKiyFfMEWZDbF9gtLYdOLYzh6STvaI360BO0plsnsDHsjBVuFmyg5auToG9rpJV+wjjn+9VZKJ7kJYwcl95HCUgAMUpBiCq6B5laxiZdzrwDW5u7xu9cyAIKAk2NWQFx1fXodKamqdjNyT65iEXjgv4Vb7LirrM8BSmMKqiw9gtv3M+sexuwjel2QyRcR9HkRDnjN9ijO1wE5puA1nlcrDzIpDMUUHV4BtIX8OG11F05bU8YzMAs0FSk0DKaloPDR0cUztW96nRKdIEuBFggNJJc/AwBWny3GAwJi0/NH1ENa5E6plMLZsXLm8hH8YWDPw9JjxUYT7hQbB523bBKiAlZazHIwPBu3V9ASQXg81gIkyCmr1Lly/yZxO75LWDnUUmTjD4Cnf2X9LwUpOyVLqHutIK2hLeJxle4jOR3V/Ep+sfB3jySxtldoo9Gg/bjETN1H1JF0zGjdTFafm7zBNvHbxAbUc8Fl0OYMVAg0R60013LuI4ohyNewCpEu8XuSIqRKhXYGmlWWgl9yvT5/q+iIet7HLWI03UeGEkWFc5Vmo7sh3CXOF7krXSzwXKGIQpEj6PMg4vciV+DIFewWgDO9OWJcL/LmLyPh8ryM0UQG3dFalIWp4at8yAJAOUtB3rCDbSIANpNWt3Sh06JbcTrw+I+N93UsQPJhjr3gTkTBNpHSClgpnLI2PlM4tTS51TSBtNjUGOBfIhZ+0FH1abMU4vbNTSYvWoCE1DgAJja4/mPEcz+9EvjEXqG5da6y3vuRb4nb7jVioyLNTg5okqvs6V8an135HJVzH8UzeUylcljRJbReshTaw35MpnJIVrGolTBjV0b8w2y0qFAIAKOqeZG4BsoNxQGs0Z/ForBG3CyFQNTS2suRQrgTePut9uQF5XGGRUktKJSB5kBpTMEpn1yVvfsBETOg7qgktzdoFXrSufR47K5Oea4GK6MPkyVMa9Wl2NNqYeExs4VSuQL8Xuu9qTo+aFxPfa2C4IamMjhCke0dq+L6GUtkzWLKekBbCkB5S8Hrsweulp8ievZMF05LQW614HTRkA9z7AX3gFioXVgIX14D/PljIrXROfNgJnBmsKxXhHRog//2S4Dn/iTk7FplP0Y23Z0FTp0yKXTYm74lx4y25F6hCa44Qzy/xSjea19Rer6ev13cmhqptPmsOF0QwdO/EI87HHIqkM4VbG2zTVH9XkwkcyhyYIUxNCVqFLVReuCMA83kAqGEBjlpYMlJwFkfLv2f6CLDUpgQj92yZKL9gjzIzedwMxWKHPduHQKXiaDSpLFVZ1W2usKd4vcsZyn4Q/ZKZVW7DlKoxl4AnvgpcOQr7GTJGHCMlEjhHLNK7iNKb+4/Rn1dm3IbFg65o1xSuCko3BryIxwQ10vK8ftbgWax1dJ14uYaildozV4ockykcuhu0aRQX5gpqS4aFC2Q6Yzkc8JpKchanVMrIy2RF9wthVCbuHDJxD3yFRWLsqoCWQrRftE0bvmppceQXz4zCfzl34E9j5Q2WKNzlRoXlliw1XIHLd1gHReIWoHq9JSoQ5BJ4nLDGjjwhLiNdNnPiTcgPh+wLAWZFAItwElvE/d9oercR/miMqYgWw8nrxS/31KjHTJpitWY/0rQRkatOOSMl6vvBS76TOn/RLpEMkJqXLhhJEL/55s24cO/eFI8IEuBrhWHj/z6+1/AP/7oMTwvl4tMZ9KYG1p6xefGh4V7TKV0+VuE9UIpxjlFyiw93v0gAA6c+u7S91l5hvSe0v/LWXp0fZz/rxViIZ0ifXlyn9gTXK4Zqm7vCPsRMUjBqRRk8gUEfR4w4/qgNFKqR5DBOcdUOofXnixS0Nf0lqYYjyez4BzoqiMpaPcRIBWvufhaQ+1iM5/NQqELe3CLMF3lVhQlpCBtCG5E5CSLrvJN3qoGbahlgms2+WgTc36+PyKyOKYkH/Vb/yDyxOX+N4GotVmRliyb9kSe9DmRLnuLgiNfCey820gfHLP3PCKcerXQMg+/tCrizOQKCCk6WVKaajTowyqjYGltr5Alkc0j5PeUNf9T2QIeeWEEFxyhcEeQlj9sFB+69aey/Y+RgUY5+9J3+/NmYZF+/fUnCIsrG7diT47U5V0jIlA9WZC+82ziZ4Su1cI6GdziXuxptlZJimskny5Nraa1s/9xAMzq2CvDZTaGLdU3YVgKldLJyX108CnhrnS5Zmi2RnvED5YSxzgTDTK5oq0IMuT3ojXkM+sRZNz3/DDSuSI2rOoEB/DQjpGSY6jiuStav06r2lIA3AePEGiBVFH45AqyFEa2iUCys/rXdmzACjyWsxRkuBHadEEZIqre/ASV5uS0FBgTi5yCv4Go2MScOd9yb3469p/utl4PdQiSIF97uNMeiFx5utCUR3e659eH2oArvgMc9Ur37yQhlXPJPjK0wc4Wv6n5rTYKl646ZQU6wgH7YHYH/uWXT+IdP9qIvWOKqmeyFIafE9/RLW3U+T/pSeEWkVxH8saUKxQtghl8Vtw6AqcUGy36y1yTMwFdE3sfde+3Rd+TrEVVoNnjMZrbcSPArrjW3ar05aJA05Iso/AAViLF7gfKXjOTpqUQMC2FUvdR6bXUFvIrA83bja67lx6zGNGgT3nMaFxcX9p9VC9wDjx5s9AIvAH3TZ82YLcLuxrIJrGzAlTVnIsu3HIxBRlrL1QfN12QFlUuEKdK61RpX6E2y+3jdm6DRsuMiT1WGqxcwe3xiA2P0m6dn334peL2uVvc++tME2Ihl35/ijN0hK0F2RL04fn/uhTvOW+tWfHshrufE751ZeYJxRSK+apacQAQ10A2Bux6AFhygvn03jHLR39gIiWRgjGy0qGJF42WCwXnPIzZov8YY15C3t1ScFYru9VR0Ppx61lEbe6dUJJCFZYCgVyeCkwY/Yk6Wyz3kXNcq4oUWkM+xNKl18lEMgefh6Et5ENL0ItEJl/SDsO0FDQp1AE77wFu/yTw+2uAp24W5qebn9FjBLWm2+9Ihqz9UB79xZ8T2RGqQjgihXLZR4T/N2gP3s4Gi4yMnzM/5H6MbEW86jpg3cXAqjNLjwu2ieylQNQav+kEtWGmYLHHX+q6okXq8dk3q76jBIF0rhbEXq775TQgso9KLYUuI+PDmQ4Y9HnBGEN72G9uFCpkDZVcOefZH7a0/emQAiBiMKvPNZ8ejVuuiZF41iKFIbWlQJWx6aiUmVWuOr5atC224jluG7Fcrcy5sPqUjf2MNeL2+3o8okPx22+1Py+TQnxIkEslxUFWPOT0ZgcmJEuBYgV/cFQ1Z/KlmWzRoE95DYwnc+iICCu0JehDkZcWuVHr9npmHy3cmMKNr7I/LrcQSct1C0RXA9lSoLTIM94n/lSgDcLVfSRZCrVyHQGiudkn91WvKR5/lfhTgWRvX+ZeWEUDe0aeF/GAa18oJWdapNRIDxApqtQvv/9oYOAZkaIZmL2Gm8oVTFeRjJce1Y93nb0aFx+tyCWE6I20e6RyQzyVlghAuO7SE64T4UogXxtt1vU7mrBcWGOJLNBr+Nv3bxKpm9KmeP+2YfzxKeG2S0QNxWLRceXdh9PBOR8TG/+Gd6hfJwJ4/jbgto8JUlA12DMthTIbuhxsJgTbreyjyb3CzVQpriQnV5RRtiZSWQR8HoT8HizviuCUVZ3YOWyfrpjOFcyCNUJryCfI2oHJVBbtYaGAthqpzvFM3nYtWhlP9du6F6aloGo2VS7nmtpWV/JFloNMCmUabFnHG5pRtYHmWqIaQjjiFaKyuJr3KWeu06bw2A0iTVflOiBLQdbgQpJvecXpIkh98OlZWwqFIkfWaF1QIqrPg/932VE4ZZU6G6UzEnCdwCXjI79SDE4CrN+a6jMqQT6vUYuo5JGhY4mMOH8rDes00m3bFH/w0C7zfiZfBK7dBbzjduXHbRuM4at3TLM9eNti4JLPuU+7o+LI+75kDVeiGdoyaP1M9/cNtgq3YrEgXJTlmkGaMi8B3vJ7MWWwTGxnMplDR9iKL63sbsFI3B5AVtW8tLrEFMYTOdMCaJFIQUY8k4PXw0x3VT2wMElh3FoI8AbEBXDpF92PP+61wDv/Yu9DM13I2kkV/XfMuIPHRSNwq16dK1z1U+DSz5c/xozFlCFT2VWw7hL1MbKloML6l4nbchO1qgQVJKlIoRKWdIQxHMvYeuwT5I3UNe5w1r8AJ/+jmJ9RDfolRUaaezFmsxSMzzrxTeLWUYy4T2r3nM0XBYEo3DcTySxe/o0H8K17d2C8TNxk2qBNt5gDwIDXfF89udC0FKZpCZrdeuOif5lUvLhzOI4v/nkriqrGcmvPLxtPAMTvSGNaAaAnGsRo3D6BTdUyJeoSU5hM5UxLgUjBmeIcS+cRDfpMIqoHFqb7qGsN8KHNwuXQu77izF4AomitVqjGUjjjA8LtcrjLRjmbmom5QjWWgnwu3OIOzq6qTsh+X3mY/QxA/WtU7qNKoL76e8aSOLzfvnk5p23lCkVb5SsA4PCLxV+1aFsqkh/SkzYrajyRRVvIh2yhaFkN69Tve0Bq91xuItjFX7/fjD3E0/naBTplq/TsjwDHXqk+rlJMwQ1U0Dm6Q2RpSaTwrp9sxAvDCbzx1BVY0e3i3iyDiVTWlnTQEw0gWyhiKpVHu0EWmVwR3S1OS8GHKUVMIZ7Jm8WQURdLIZbO19V1BCxUUmBMmJHVmJL1gFsGhQyPx32BAPV1H9UKZOWUy7mXA5pulgA972bKyzEIVW//aYBSClWB5kpYaVQ57x5JlJBCiRsgnUfnbDdWxoBrHhQbpnQOJlM5dEQCSGYLVkCTrDXK1oJwlcnFVtkypCBX4E65xURmAvn3L7ceq4kpqEA1Dc8bY3LbLVIYnhLf6cBkamakkMxheZf1f5SAMJrImKSQzpdWx7eF/Mjmi0Zhm/VaIpM3ycDdUsihNeTS+qRGWJik0GjUwvSrhlgaDUoBLNdvqBpSIAuhnMvs/Y+LgGL/sdOT0YFZuY/a3atVqX3BGWu78fDOUcQzNSAFQDlUibRJxhzFVJ8asrkj6TWvh5mxFBWcHT0rjYqcFmRL0TlMynYc1Qp1uB+jQs/h4jvf/xXxWLoWKRtMNTGtGkxJ7h4AaA2K+7ICkMkVS5orkqYfS+cRjEpBZIkUoi6N86a0pXCI4d33W10wZwvGROvgI+o/bmLGoIIk1Zxngo0UOtTHHHWFSCc89Wr396nGBVgFUrMghe5oEB6m7mtDi3txu7B2aqptOzCVzqEt5Bezl+RNxZH6TLMf/vPyY/DpP2xGtqDu2zQ0Zf8+U7UkBdnKK9eXisisGterDK9fuNloeJMUhwkHvMjkizg4OTNSiEubOGDf7AmZfGnNi+kaSufRY1Qm5wpFZPNF00KIGgTjTF2NpfNY2lGfiWsETQpzicXHq9PtZopXX1e796oHXvYl0SZghSJVkCDHCdwGF0W6gPM+UVPR3EDuo5nEFLweht7WoNpSMElBLOhKjc9mg1g6jxVdEeSLxbJDf0imlqBXzA52GfziJLCaWgoyqiH2mXQViPYJUjj347YYRs6wjMxg/DTAOUciW0CL1Do9qiCFdK6oSEkt3fCJvIkw2sKl7yUe59AaqkFhYRloUtCoH7pWAy//cvljfEFhCahyzBuAVG7mMQVANDwbnFJYCsbiXmxoecoCthphKpVDW9gvAs0J9xRZeSMK+DymO6X0/eyy1pwULvqsaP5YjVvVrd6lHCimJaWdF4rcnH0xXkUasROZvJilIA9ZajM3e+v8qKrjLYvCOo6uByKFsN8Ln4eVELIONGssDLzux42WwMRsYgqAGJW4T+GjLrEUZtpNtQqQ33kolsFT+yaxdWAKRywqTUwgUogEfAh4Pa4xBWf6ZM1dX2d9qLbv58SF/yZmPh9p9TGSz/9YGeJ0A527loC1hTozhvKFIvJFXpqSahwnZyAlsmS1ideoQl521XHOEc/UnxSark6BMXYpY+x5xtgOxtjc+Aw0NAzMJiUVAPraQsqYQswRU3Ctap4lCkWxcbSF/HjY6LL5rXt2KI+NOywFt5RU2rzu+NA5aA366uc+KgeaYdJeJmnBDb3rRUW1FL+QSaFcE0M3kFtOthSc7iM6n3KXVMCyKGQZrPezrru2sN9GHKlcAYUir3v2UVORAmPMC+DbAF4G4CgAb2CMVRjvpKFRO6SyYiHPtGK0vzWEsUS2JGPHdB8ZlkI1E7ZmgrjUBoHqCqi9txOUjkoxBTdLgbTV/rYguqOBEncSILTim/++x9Z3qaY444OiwrhG9UJ0ngI+T1VV6CX/bxKqdZ34vaLlBRF+2sUVqXIf0bGRgOyO8ildTAvNUjgVwA7O+Quc8yyAnwOosrxTQ2P2mH1MQQTLnf3y4xnRAbM97Iffy2oeU8gXijjny/fiK3duBSC0zB+8XQwzciM4u6XgdbUUZH93mzF21IkfPLQLn/ztM/jlxn2z/i5KeDwVK4yng3hGfIcVXRGMzyDQnHS4ewhyC4u0cT5Lso8UAWkzwcFvtxTk6nciiAVlKQBYCmCv9Hif8ZwJxtjVjLGNjLGNw8PDcyqcxqGP2cYUqFum04UUT4tqVcaY6JVfY1KIpfPYM5bETY+KQTptIR/OPVxU87pt9qZfvEKgeTyZRWvIB5/XY86idoLadQ/F0vj9E/vxpdu3VpT5tmcO4oHttV/Dzx2cwt93jZU9hjbklV0RxDP5EsuuEuJSPEZGa9CqVnazFJwWBSC7La0tub8tZEuXnTQstLYFZimo0g9sjUk459dzzjdwzjf09s6ilbWGhgKpbAFeD4PfO7MCwz6awetIS51M5UyzvzXkr3lMwbnxt4X85vdQ9WICBCkwJghQpKSqjxtNZM22Fm0hvzLQTI3gDkyk8KFfPInv3rezrLx7x5J4z08fx1u+//eK3226eNk3HsDrrnuk7DG0qVNFcrk5GCpQDCBaYilYhJ/JqWMK4jh7UzxVJf2KrggGp6xeWuNzMEsBaD5S2AdArnVfBuCAy7EaGrPCZDKHf/3dMxiYtDbwZLaAsN8744Zj1gxeu6UwOJVBf6t4zW2q1mzg3PjJxRAs4xaKZwqI+L3weJiIKbhYCmOJjLkRhQNeZT0DucsOTFjn0q2bKuccZ3/53grfaPYolyVFlgKRwnTTUhNSjYcMudld2rA+nG0ugNL+R6qiSeqlRZP6xuZglgLQfKTwGIB1jLHVjLEAgKsA3NJgmaaNzfsn8aYbHp35EPcGYD7JWivctvkgfva3Pfj4b542n3MbxVktuiIB+DwMByftlsLAVBqLjCBza6j2GTxph/uDip9Cfk9ZS4F84s6UVM45Nu4ew2Qyh9F41hz/GPR5lK4W2VIw3z+r/lxnoFrZpbQG2DYQc32NtPkVBilMNy2VUkhLLIWgFFMg95FPQQqOQTuqrDfKVBswrE7KkqpJe5QyaCpS4JznAbwPwB0AngPwS875lsZKNX1c+b2H8dCOUTy1bwJfu2sbntgz3miRymIymcPR/34H/vfu7Y0WZU5BfmdnFojs150uPB6Gw/qi2HJg0nyOc46ByTQWGVZETzRoG4RTCzi1905zE3e3FBJZq02DMyX1/u0juPJ7j+Brdz2PMcl9FPSVWgr5QhEHDBKUv5db4Zwz26fW54KwtQwpUPbXsk6x8U432JxwiymErM3edB8pRru2OWoQTPeRRCB9reSKFIQ7lsgh4PWgpY6zFIAmIwUA4Jzfxjk/nHO+lnP+uUbLMxPQCL3fbNqP/717O75yx/Nz+vl/3zWGt3z/b64aohMTKbEov3bXtnqK1VTgnOPRF0YBwKbVpwz30WywYVUnntgzgYKhAU+l8kjlCqal0BMNYERRyzAbOH9ryoUPVmkpOFNS94yKCWJ/2zWG8WQWXS1B8/2cJPP33WPI5os4e519boabNeTUym1N+2aJYpHDY3j+nq9gKUSDPrOz6XTTUuOZAgJeDwI+Z7WytdmTRaWyFHqjQVuGmpjQ5oHHY7kte4kUjONG4xl0tvjrOksBaEJSmO+QTetHdorioQFFL5x64nXXPYIHto+YvshKcLoNFgImkjkcnEwjEvBicCqNvOFPT+VmTwonr+xEPJPH1gExBvLglHCpECl0R4OYSufLtqqeLtIu71XWUshYvXsCDlIgd8a2wRhyBW5zH2ULRZvLhyzMlx9rH2nrFrx1WhCpKpWXahDP5kGi7Z9wb3QXz4jAP81DKNcORAVBqKXXSU9rAIlsAcls3lQOnSmpgLgWBqfS5nlM5QolqcMtQVFp/qXbt+L2zQdxYDKFJR2zGAlcJTQp1BhyiwMyqfeNpUytcS5RrVkubxrlFtKhBDLxj1rchiIHBg1tLJnNz7iamXDictG0bct+QQoUyJbdR4Dou18rUObQ8q4w3n3uGvP5cjEFucunMyWVivjospXdRwBsx+4aSeCiI/tw1mF2S4FqAZwgrfw/LxezDpzD6WcD2U+vakwoH0eV3K1B3/QDzdl8SY0CYP3GctaQKka1uD2EfJFjxLgG3CxUbiRfXnPT49g7lsKyzhn0fpomNCnUGCrtyDYBaw5RbfBM3jRm2lt+viFmbFjrjGE4Bw0yjKXzputlpljaGQZjFsGapGBaCmKDHYnV7pogS+GHbz8Fn3zZkebzwTLtKxLZvOkTF7EC6zpwau9dUctSACx/eTyTx+BUBieu6DQzr8z3d+nQOpmkCmlxfMolID0TJKWCPFW7EYKcZtvZEqjaUtg3nhQdUjN5W98jAn2ngcm0a5sLAFhmBLi3HBCKQypXQEihjDApS3/PWBLLO7WlMO/g7DVPQzicFa71guz+mYmlUM9GbXOJe7cOYfP+SdfXKfvk8H7RAoI2cOowOhv4vR70RoNmJg79DmQh0O1IDS0FInZnm+by7iMp+8hhKaRzBUjubct9ZLhCyE06YBRXLesMl/jXEy6xAgrydhvnwZk5NRtQxtOqnghG4hnTLejEaDxjkvOSjhC2D8XLvm++UMSWA5M460v34sZHX8RUKm9meMmwihfTZS2FM9Z2ozXow13PDgIwEhxUbkvpN2gN+vCak8sMIqoRNCnUGM7c6KMWi+6Uc0UK8njFavvQyHGQSu0XHt8zjj2j1cUqGoXhWAb/+KPH8IpvPuh6DG1YNDaT3H5TNbAUAGBxRxgHjA1zMpVD0OcxN4deIoUaXhMZs6WCfWMJ+d2L0hKZgtm7J+D1IFfglo87WzADnQCwrk+cJyId+ry4YQ3QOfvZP52GP7z3TPP9VaAgL/nQ3eSbCShovaq7BZy7K0ajiSy6jeD52et6seXAlOt6uWPLAI777J342p0iEePxF8cxkcqhPVyaGkptTgYm06ZbTGUpBH1eLO4ImZ/pFssiTvjCq4/FbR8827WPVS2hSaHGIEuBqlePWjK3pCBnfFRyH33mli14940bbSmGlSptX/2dh3HOV+pfeDQb7Bu3SMttoRP59beFsLg9hOcOTiGdK4gOowoNcLroaw2a7qHJpH1sozXL1/332bx/Epf97wNV1zPQxupMf1RZCs/sm8SNj76IVK5gsxQAK1ZAm9QNb92A7735JDPOYrqPDEWCLC56nzMO68Fxy9rhYe61LxSkJQKrZaA5aRDR6h4xrlYVV8gViphI5szfYV2f2GjlwjsZP3poN5LZAu7eOgQA6IgEMJnMoiNSqjy0hvxoCXhFTCFfgM/D4POqt9mOSADjhistlS0oY1mUaHTWYT22edD1hCaFGoOqFGnTufAI0X9muF7dI0s+39pERuPqTadY5JhIZvGjh3fjji2DtnS8qTKWwnwpcJMrlJ89OKU8Rm4Gd1hfFH96+iCO+PTtAFATS6Ez4jfjSJOOWb4tQR/Cfm9ZS+FTv9+MLQem8PiL1dW4uBVKqQLN//CtB/Hp328GYBVfWZu9RQohvxcXHdWPS4+xsorouLQZU8jZ3gcQswBaAj5X9xEFuCkrp5aBZvpMIgXnKFHAivtRZbBVhV5KCsUix5N7J2zPMQZMpHLocHEzikFLaTGfuUwmW2fEbxakpSocW+/OqDI0KRjgnOP+bcOuPshKuGPLAEbiGUwZroIvvvpYLG4P4bQ13YgEvHNmKcjVom7ZLV+6YytO+I+7zMdyPnc599FuI3e92XFAIoXdI2qZzaljIR8+cOE6dEpa32xjCoDYcCaSOXDOMZEq1Sq7owGzClgF2qCqHWiTzhXhYSjp2VQupgDAVqcAWOnJooivdJOilg1O95Fz04oEva5KRCyTRzTkN90lNQ00mzEFw1KIlW70ztGXZnBYQQqJrKgxec95a83400g8i2S2oLQU6P0Gp9JIK+Yzy6BrBABS2byym+0Nbz0FFx7RVxNFpVpoUjBwx5YBvPUHf8eNj7447f8djWfw7hs34T0/fVwMTQ/7cdWpK/DIJy805/bOHSmIi2xJe8jVUvjd4/ttj+XKT7c0QkA9kL4ZQdpXyO/BrhF7/CNfKOLaXz+FzUa6aMTvxSmruvDEv12M//fyI7GmtwXnHj77RosdkQCyhSKS2QImU3mbpQBUrmomrbFcWqUMMSC+tGdTuZRUAK7uI7fAp5V9RO6jUkuB3tetzUUik0dUch9VCjT/cuNe7BwuHwgmECms7IrA62G2thvm5zvaXvdEA2CstImh/H7LOiO440Pn4Oglbaai4fxNCf1tQQxMpY2CNHftvz3iNxUHt5jCWet68P23n2Iraqs3NCkYeHzPBAAoRylWws5hcZHsHIqLrASH1tQbDZbVCmsJ0ixX97a4xhQoNZJAaajLOsOuflXAGnTe7Mjkiwj5PVjWGSnZFJ49OIVfbtyHW546gGjQZ1ts7zpnDe7+l3NtAdaZgiyPiVROmdHUEy2vKJBUA5PVXTdiQLw6oFnOUuhx1B/QZj8azyo3PdJmabOMZ+wbLCEa9JVYCgcnU9g3njQDzaYrqoylkM4VcO2vn8ZV1z/qeowMSkltDfmxpCNktvS2HSMNFwIAn9eDtpAfE4r4jdz4jjGGzkgAzxhZbUtd0kP720MYMuoUVC0uCJ2S4pDKzq7nVi2hScEAbdoDk9VpZvFMHg9sHwbnHC8YWkzA58GkYgOopaVw7a+fwvX3u7clJkthdU8LxpJZZdGcHFhmDGbP9uOXd+A5Fx88AOQK1nu5NTG7c8sAfvjQrqrPYz2QNvzhnZHS3v9y2qRTuwVQsxYCHRGrUtYZUwCEdlrOUiBtdqzKtFX6zk4EfR4Uihw5wwJwNrMjApQthWy+iBfHkspMF6prIPnc2j1EAqXuo9dd9wjO+tK9eH4who5wAIwx0Yiv4F7YSTGVcsQhI5EtwO9lCPg8WNEVwd7x0kw51SwEtzkRRCB07JIOS6Fa0dWilKG/NYRsoYiDk+my1fGy4pDOFWddNFkraFIwQH7NfYqLSIV/vmkT3vL9v+Ox3eOmW4Vzoak7/X+9rcGaBJp3DMXwy4378Pnb3AeYUKCYUvJU82cpAHrcsnZ0hP0ocsDnYThqcRsOTqZdfbw5Kd4SdwkiXn3jJnz2j8/iJV+4u/YD3qsE9ZFpDwdKtD+ZEFVtCmoFWvAj8QziGbX7aCyRdSVXSuccq7LPv7COSr9PyBkDcMSM+ox23gGvFVPYM5ZEocixprd00yMiJfncYg/CUrCuo3yhaNPa+w1r1e9lrnG8YpHjjTf8DQCqtt5S2by5ES9qCysDzUnFLAQ3UjAtBeM7Lu2wMoCWd7lYCkaMYvdIouxYV1IcRuMZZAvFWbdXqRU0KRggjcDZ8tgNFHR9eOeIFSzKFVxdBRPJ3LSnOznxK2PUocpNQJhK5RAJeM0L06mNcs4xkczh6nPW4HfvOdManhL2m24vt6wRubhpUrFZOdM/G1UdnTYyOToifkw6SFH2r0frGLyjLqV7jP5TTlLojgZQKHJlpTvnfEaWgtJ95HfEABzaO6XfBqTsI7KanRXKgEWktFlmXIKpEUf20YgjvkX5/D6vx6ZsyHhGKj5cVmU6ZjJrpdlGAl5luivJJW/YHRG/shuBM/4gE4FbvIDO6XgyV9JFVQZlL9E6melc8FpDk4IB0o6H4xlk8oWKjeGoN8z2wbipjScyecNV4IgpGFqOW+C3GvzLL57Edfe/AADIF7lrLyWyVCgH++Kv32/T/FO5ArKFIrpaAvB6mFnA0x72mxdwUtLwdg7HcctTYs6RvHhVWtULjkwfVZBvLpDOFRDyedERLvUTy43jWhXuo1qBMlN2G4FuZ6aK1f+o9JpIZgugy6/als7pfFE5zIVSVNNmtpDY5N519mp86rIjTXeZnH1EGWiqjBe6Ruh9MrmicnNscVgKQ44sIOoR5Pcy5Fyu5af3TQAQ56pap15SslzCAa/S6nVmHwGlraytY+3xhwuP6EdnxI8PXbTOVQZ5hnK5jd6pOMxlhlE5aFIwQBoB58D6T92Oq2/chMu//ZBy1muhyE0Nbt940tx48kWO8aTCfRS1t8CdLjL5An77hMgYuuzYxSgUeckiI1D5/ZJ2S6N5dNcofvDgLkMzFbKSlmKNWbQqTGUN7zXffRgfuPkJZPIFW6DZqVW9MBzHa78nRiB+7JL1ABrXXC9tBJo7In4kswVb90/ZUqiv+0ic1xdH1ZkqVv+j0mvC6tXvrbp/VSZXQKgaS8HY8M89vA//dLbVOC8gkQJtjqoiPq+HIez3mpXD6bzaQmlxxBTIjfOhi9bhH45fgg0ruwAAPo/H1X307MEYOiJ+rO1tqbrALZW1uo2G/MJScLrozDiB9Pu7xxTs8Yf2iB+P/b+L8KGLDneVQSabspaCoSgQKcxlLUI5aFIwkMoW0BO1ytbvenYQT+2dwCekqVyE0XjG7B65bzxV4rdf128P0JFGoPLvV4PtgyKQ/cbTVuDKDaL3iVuWEFkKq3pacOM7TwUA/OMPH8N//OlZ3PLUfrPxF/kzqdFZW9iPiHExy/3tafPfPZK0u48cC0gu8HmXsdlMd5pVrSCyPrxoN76jLKudFOq3CP1e0X3zBTN90d4SgRSFgal0SdsQ6g20vDOCVK5Qou1uG4yVWLJpl5gCafHpnN1ScG5AsvuIqtpbXTTXlqDPrE/I5IrKDJuWoA+pXMG0aOk3uOKEpfjmG05Eu7Eh+n0MeZdA83AsjcXtYeEGqjLQnMzmEfFb7iP6TjISmTx8HmbGUQCLFJzn1bQUpM3drUKZIJ/bcpZCd0sQHgYz3dbtfM81NCkYSGYLOGF5R8nzqhxv0raPXNyG0US2ZB7vsUvbbY/pIqEFuXskgds3D5ivD8cyuGfroFIuzq2KyqvPXmNaAG6uGaqTAFDSyng0njUXJwVCu6WB7BRMk81+Wjjbh2K27CMnKRABPPlvL0XA50HYb2mKnHPsGknUdH5AOWSMTByyhiZTWek1S4auOs+67YoGsMsghT5HoJTcR5/+/Wac85V7zcZogNUS5fBFot+QXHF+++aDuPjr95suPUKmUkwhb48pOAnR6mlUMJMV3DTXqFSYlsmr3UdRh4JBROOMt/k97rOhR+JZ9EQDiAR8JYN4dgzFseoTt+LZA/ZsObldRNiljQY1ApQzzTrCfuSLvKS2gj53OplB1ZIC1TDtGCJS0JaCDYyxrzDGtjLGnmaM/Y4x1jGXn5/M5rGsM4LLT1iC777pJPN5VY43ZdWsMgZr759IYY1RQRkN+kpS+UxSMBbbNTdtwjU3bcKQMWTjlM/9Be/40UZl+97v/nUnPmW0JFjRFTFT4lSkMDiVFimxxucxxvD9t20wX59I5szAJlkKbTb/Z6mlQIvhxdGkbVN3ksJoIgu/l5luElmbvO/5YZz/1fvw+dueK5G5Hkjnigj5PKZ5Lru65EIpZ71GrUHWAFCaPUPniTahh3aMmK9RwdoRBinI18WtzwhlwjlVrFxKqni9vKVgjynkEPZ74XfRiFukGoSMi/uIXDPkqnEjGp/X3VIYiWfQEw0qYwO3bz4IAPjt4/tszyck95ErKWQLJSMt200FIldyrCrlthzkLKJy7iNAxFYoCB/VpFCCuwAcwzk/DsA2AJ+cyw9PGQGqb1x1Il527GL883lrAQhT3umTpMybld1Wyt5iY7M+dXVXSa47aU0UwCPN6KGdI9gkzW/eNhjDvc8P4evSWMwv3y5GeV5wRB88HobWkB8hv6ckQPng9hGc9vm7sXcsZdPGLjyy37y/ZyxpbjBkKdDGedFRfVJmiVhE+ULRXPx7RpPIFYrwehgYE6l/MkbjGXRGAuZ3l7VJyhW/f9sw5gJU3UsL3UYKxgbxiuMW4w2nrqirHEQEbSFfyYbtrFDdPmRt8uR/pw67shuOlIEXhu1B/YSUdSPDSkm1xxScNRpynYJbW2iC3NdIWAql2wi9P5GQG9H4PB7ki27trbPobgkg7C/NIiKrNe9Ym7KlQPMJnNdqUjEgxyQFR6wsmcnbYg/VgDEGr/H7VsooWizF/rSl4ADn/E7OOf16jwKof+NwA/lCEbkCtzH8tZesx39dcQyy+SIOTKbAOcc7f/QYbt88YFoKK7utNLlXHr8EAPDe89eWvH9LwAfGLF8xZb0MxzKm6QgA24bi+McfPoZv3L0dsXTO1I5eefwSfPfNlvXSHvaXXLxy0Zkz0E3Wwp6xJLYOxNAa8pnuiytOXIrf/PMZeNWJyyxLwViAA1Npc9G9OJZAriA2gIjfW2JmjyVyZtAaEFoPkQJl0FAracJ9zw/he391L8RzIpUt4JeP7XXN7SeIlFSPOWpxwhZTEBvQ/7z+hLrGFACLFFSpnTIuOrLPVkk/FEsj5PeYXTFlUiB31O1bBvBNYwwmIDZ71aaishQYK92s5OOm0rmy/u2WoNdUHNyyj5yZbDEX+fw+j80tSUhlC0jlCuiKBhAJeG0t4QGr88BBxzWVzFrDbyJmbyU76cQzBTN+RihnKaiG6VQC9aBya4VBOHaZ5WrurLM7s1o0DSk48A4Af56rDyPNXTYRGWM4flkHAOCWpw5gLJHF3VuHcM1Nm8wLRyaFE5Z3YvcXL8PJRlaFDI+HIRrwmX5VckmNxLPYN56Ez8MQCXixfTBmbtZP7JkwC+kuPLLPtvA6wgFMpOyWgpyNRO26CRce2Y83nLoCe8aSeHzPBE5Y3mFqqn6vByevFOMjyVKgVgFUbNTXGsTesRRyBQ6/14NwwFeySCeSWdtF3RLwmVoiuazSuaLpgnpxNIG3//AxfPHP7oV4Ttz46G5c+5un8atNe12PKRQ5RuIZdEeDZjBTDvCncqLitVKwsBYgLbA7Wn6xL2oP2RoRThm9kijeQ1ZhNl+0EcR/GxZlvlBEKldQVmg7LQUaQ+m0Zokg4+m8MX2ujKUguY/SeXUrB7qW6BqQY10y/B6mtBRI8WoP+xEOiFYdcho2Xe+7HGnQSdl9FFC7j5KZfKn7KFIafwJE/GEm9QNEdIc5kk6coLUHwNVdN9eYUykYY39hjG1W/F0uHfP/AOQB/NTlPa5mjG1kjG0cHq6NO4I2qoDjRzl2WTvOXteDnzz8IvZKmhx1IpXdR50uHRMJrSGfabqTO2M4lsG+cTGMe/2iVmwbjJlE8+JowtSGnHNZVelzu0aSWNkdwW/++YySAeoAcOTiVowlsnju4BROXNFZ8jogctoZs/zcFMw8b30vDkymEM/k4fd60BL0lgT+JlM5Wy5+NGiRgrwpxzN53L55AOd+5T7zuenOr77u/hdc60gGDetmWWcYrUEfPMyu/U0ks8rhKPXAiSs6ANhHKsp46BMX4N6PnofWkB+xtJX5Qq2l28N+eD3MTH92m4qXUFToEpwtseOZvLI+w+8VyQHxTK6ypRDwYSqdx2827cPBybRLSipVPlut5FWWgs/LkMtbv2UmX8C+8aSVFhvym5uynPRBwfjdo0nTciwUOTJ5q12E27wGlauty0HA5Y6tBscYihnNanADKZ7NhDklBc75RZzzYxR/fwAAxtjbALwCwJu4y6rnnF/POd/AOd/Q2zv7bpaAZSn4FRf3RUf2Y2AqbRbSAMCmPeNoDfnMAhzACty6obMlYLa6IM15JJ7B0FQGfa1BHN7Xiu2DcVND2zeeMrXCHoem2a6ovnxxNIH1/a02zUPG609Zbt53O8bjYYj4vaalsOnFMZx1WA9OX9sNzoWLKuBlolrVMVVrQjEzwHQfSbLG03n85Tl7plW1g2SIVF8YTriOT9xr5Hwv74zA4xGBb/lckZ96LrBhZSfefsYq/OcVxyhfX9oRxuqeFrSGfMgVuLlxU2tpj4ehM+LHXc8O4h+++aB53t50moiF0HVB86ZVgUrTUjA2RnkEpxOtIR9iZCmUcXu0BH0YiWfwkV89hWy+qCQ9+gyKPUyl80qi8Xs9yEmWwrfu2YGzvnQvnt4nqpnbwlaLbdk6HYpl4GEw3buAtfmXBJpVMQWH9k9FnM4C06QxEGi6uOFtp+DH7zi1YpppOODFG05djv+8/Ohpf0a90Bz2CgDG2KUAPg7glZzzOZ33SJZCUGG+kV9YTn27f9swlnaEzWASgIrZCWt7o9g+GEeuUDQX/3Asg/FkFp0tAazrj2I0kcWAEWTcO550zRd3WgrFIseLY0mzh7wKQZ8X37jqBLz73DUlqaoywgGr5fFEModlnWGcva4XAZ8HWw5MIeDzGO0DSi0FJylQ9pHcA2kqnStplqdq9aCCrMU9LGXryNgndXwFBFnLMYUxaWB7veHzevCZVx6Nwypoi/T70nmKp3OmNt/VEsC2wTie2T9ppjGfva4X7zxrNRIZUXkfd8SqZKgsBbcsFyKFKSmDTYWoY5NUpZQ6eyTFXN7T7/XYso/o9/udUazZFvIhbFgdFGPLFYQb7bTV3QAsF5KVPmqvU1ClpDpjCgGfB+1hf0k3Y5HNNH1Lobc1WHUL9i+8+ji85fRV0/6MeqFpSAHAtwC0AriLMfYkY+x7c/XBpvtIsbGTj9/ZwmFJh7oZlhvW9UWxfyJlu+hG4lmxSUUC5qxgChgPxzKmn9npFnCSwsBUGtl80RbjUOHyE5biky870kZmTpBriHoktUf86IkGsd6Qz+/1GB0wrYWWzomq4Xab+8jKPkpmCuaGEM/kcXAyZU7GAkqL+gan0iXuKUCQx2F9UfS1BvG01BdHBm0q9PsIS8F6/7Fk1izYaxbQuaHfm9xHgKXBAtbAoNaQD4vbQ0avrbyVUaQMNNtdLxRTUKE15MdUOme4espbCoBwj/3wH0/BtZeuLznGSkktbyn4PMzWPoUUC8pYawtb7qOkoYiQNn/qahG/o0wsIg0KMJsxBUeg2c2V1aMYfDSVytW1HUozomlIgXN+GOd8Oef8BOPvmrn6bAoKqQI9FCTcNZKwkcZSY9P57ptOwmf+4aiKn0FVzdRwb1FbCKOJDEYTwlIgUiCMJbKIZ/II+kpzpDvC9vYNtFms6na3FKpFJCBiH1+7axuyhaIZPCbCaTcWqZw3TgTltBSoojWRzZsZOLF0HoNTGZx7eC9+954zANj7++wYiuG0z9+Nd9+4qUS20bjQ8o9Z2l5StETYN55Ef1vQdJt0ONpnjyXmzn1ULVqdpJC2tPnVUqdSUkyiQZ9ZY3FwKuWqPAAiC8bDHDGFMpbCSDyLbKFYNiWVsqL6W0M4f32fLa2SQDEFkk0Eml0shaIcUxByErm3hnzS5l7A7pEEzvuqmBF+1JI2LGoL4YHtwmq02ly7xxSyeWGpqzb6vtZQSSHqeHLuLMtmQdOQQiNRjaUwHMvYNr0LjNnLLzt2Md5+5uqKn0Fm/Jih5azqiYBzERzravGjvy1oW6zjyZyrdmVlShgtKIw2CeXcR9WiJeDF3VuH8M17dgCweiRRcd6qnhZEg36bS4h89vL5iUo+5WS2YG5iA1NpxDN5LGoPmedWrth9whh29MD2kRKtjayq5Z1h175KL4wksFLqc98hxRSyeTGwvScaVP5vo0C/MbkLY5KlcObaUldf1LAUADH/g9xvqpRGxhiCPq9pKSQy7pZCW8iP/ePUh8fdUrj06EX4xMuOwEcvce//4zXiIaMJ0WAymy8qG775vHZLgfz/hSJHwOdBT0tQSi0t4Kt3Pm+m1/a1BnHZcYvx121DmEzmpJ5G4vtRTEEOUMuzuZ1Y2R0xe1XR/yWzBVOhWyjQpAAgWxAXjYoUKIMFsBeXnDPNkY3UwZLmJq+yZS6Joi+5EnoimXX17dLme52R4//XbUPojPhtge+ZwulrpQXx1jNW4SVruvCGU5ejry2Ig5NpvP/mJ/DwjhFXSwEQm1A8Y1kK+4xAcFckIFUcW6Qgj590Vu2OJYTrZ3FHGLF0viQbJ1coYsuBSRwjtRnpiATM96dzX4vJarUEXVdTqTzyhSLiGSsl9MIj+0qOjwZ91lzhybTV5NAlAy7k99jmKZQLNFPlcbmYgsfDcM25a3FYX6vrMYClecfKvKczpiBr9au6RbIAWQq7RhP4s9QeptcghVyB48EdI1LzOnF8wOeBz8NsrkjL1VZ6rlZ2t2AknjUVHiJbbSksQGTz5D4q9bVTFTEgNKmPXbIeH7tkfVm/vApkKVCwVNbqScNbLvWML3LhClGZ+rT53vDgLhycTOGOLYO47LjF05ZJBWdWBqXU9USD+PnVp+PklV0m+fzxqQP4wUO7TFLokFI9aeOZSOaQzRfN/vn7DA2/LexHNOiDz8Ns2UnyPIttgxYpFI3ZA90tAVNLPuiwFvaOJZHOFW11Gu1hP6bSeRSK3ExjbGZLYTyZA+dAj0FcIb8Xf//XC3HlyVYtZzToQ19ryJial8ZkMgvG3FsvR0M+TKZyKBY54ll1SqqQQ2olXYPmbH1tQQzFMua8ANV59zstBak3FcWdaJP/+64xFIocG4zsub7WEI5a3Aavh2HrwJRpKchFqGG/1xZToEwt1bqinmV/MfpQjSXcLbBDGQsrguICyp5wG15Dgd3WkA/vPf+wGX1GiftIthQMTWS5kTET8HnMkYjHLGmHEx6p8Oj0L9xT8n6zgdNUVr0vbfAE0sRlS4E2HmoX3hkJIOD1mBtEe9gvZt62BGyWwsBkGkcubsMLw3EbQUymcihy8T7kwz4wmcY6KRZDhCs3nyPtOZbOme6oZrUUYum8KaO8gfa1hczvRNXIjDH0RIMYmEybmTNuw92XtIdxYCKFqbQgHLd0U9llVC6mUC36WkPYNjhspnPL1bsEn8c+ZEceu7m6RygkFCx/ymgM+eN3nAqvh5mW/aruCJ4fiJnXqrzhhxyDdshqURHjmYd1Y1FbCPdvG8arT1pm9iSqVHx4qEFbCpCL18pPUqpUi1AOdGFTrYKcfUPm6XLHdKmJZE7p+3zJmu6S52q10VEAvS3kw8/edZpyo+mT3FQTyVxZ99GQ4Q6KBn2IhnxmAJHOaWfEb6vSPTiZxpL2EBa1h2ykMCaZ8m6WAk1+kxex3BTPshSaa5FHqQ2KRFxOrZrOp9/rMauRF7eHcHAqjTFHNbkTSzvC2D+eMgm6z8XNKG+mtWjjfNSSNgxOZXDv88NoC/nMa0uG7NoC7O6jXslaAsS10RLwoiVo7yW1pCOMwVjG6sQqyR72e20xBbpWVZlajDGs64+aAf1BKSlkIWFBkwLn3KjKFJuL36fWtGizm81mQq0Ado8mwZiDFIwFTbn1suakMnMDPg9et8HeGqpSLny1IF/18q4IzlAEOQH7InlhJIH/uvW5ElnpnG02UkdbQ34juyVje70t5EcsncfQVBr/8cdnsWMojkXtIfS3hcxFCVjB7I6I3wxaf+K3z5i96AFr5KPcnVTuf0SvN5v7yONhiAaFP3/URTslt558hfZEgxiaSuPRnaM4crG7f39pZxgDU2mzmZ6zjTfBZinUgBTOWSeun3u2DmFVT0tJaw1A1BSkctakw1SuYGaHnbpKpJxa7b+LJTEvQLR/H0tkzHiIvOGLvklWTGGbEadyS8pY2xvFTqMwcsBQaPramut6qTcWNCk8dzCGj/zqKfzbH7YAKG1zQaBU1dlo4+Q+2jUcR280iIDPgxWGZUCb6XKjnYVcy+2msckFNd98w4k4WuFmmgloc3nPee5uMvk8kJZ/5cnLbFZFZ4uQ++bH9qIl4MU5h/eUDEoHRGA7kS3gFiM+kS0Usbg9hEVtIQxK/ZymJGtETh3+g1HkBFj567ILjDK1xhNZDMcyyo6lzQAix0qWgryvtoV82DoQw2giW7ZQamlHGEUOs0rYnRSs36cWwdV1/a14rRELcdO2IwEvOLca9qWyBZy3vg87Pvcy090Ukvp+qSznrpYgxuJZZSdWMX3NUrK2HJjC6p4WV9LrawsikRWDjQam0uhqCbjOYj5UsaBJ4f7t9t5JblXJdCHOpFsigS6sqXQeiw0z+s4Pn4N7P3qeuZlSwdWrT1xq/p9bTrncpMs5v2E2OHpJOzZ/9hJcdlxp/ySCqp7jK1ceZ3tMGno2X8TSzrBpKQDiPNM5pSI3OcV0TW8UXS0Bm1uJGgCSC+9n7zoNALBfmkA3kcqiNeizyWdm6UylMRzPmAHcZoOoJhbWTMDrKcnUofMlt5SQ3XXlOrHSdfW40abdzX1ElvAxS9umNT+gHN5z/mFY29uCi47qV75uBpF3j+Hb9+4QxWIhn61hod/LTDJUNafrjgaQyBawayRZEgsJ+722OMVwPGPOJFHBakKYwWO7xmpmgc8nLOhA8/5xu0/azVK46Mh+/Onpg7PSnuQg9mqjECzk99rcSAGfB5s+dRHawn5zJnM1pNBeoRnfdOGWxy7D52E4akkbXnn8EmXXzYBPjKOMZfKm1kvnr78taB7fEvBhIpnFrU+LoSlHLGrFhUf2YftgHLF0HrlCEX6vx3IfGRvhGWt7cPLKTtuwIVVfn/5WMfLw4EQKI7FM07mOCNRiQnR4Dbh2MVVV/wLlrdilhlvyvueH0RLwuv6+J63oxA/ffkpNN8LVPS24+yPnub5OmUIf/sWTphLgbDctai08SOeKynRauq6cPbUAUdU8LM3Bnkrl0Nfq/v0oNvP8QAzbh+L49CsqF6YealiwpDAaz+CJveO2AR5ugeQrTlyKFd0RnKgY11kt5PbCbl1KAaDb2LQ6I36MJ3NlSKHUFTOXeO4/L4VHGiaiQmdLwEYKRIBdUusG0VxNbAaffNkRePe5a43/tQLEva1BM0AoZ84s6QjbGhUmsoWSgSg+rwd9rSJoPZnKmS67ZkNryI+hWBojcY+SuI4w3HpXnWo1NmyrkhRWdkXQEhAzMJxzMGQwxnD+EaV1EfUE1SDIU/1U9RYhv1eQgsJSKBcIDjtiCjTD3A1EMJTppC2FBYR3/WQjNu+fwulrunH62m4sbg+VNZlPKrORVwPZL7mmt3L66Olru3HbMwM4dXVpphFgtxRUC6XeqKb3e2dLAHvGkhIpiAUWks6z3IFSjouQxjaRzIJzjvFEFq0hn42ElnSEcMdmMdLU42Gu1bqLOwQpVOr+2Ui0hnzYOZyHhzGlRdrXGsJWg4gJ8ncpN2/a5/Xgvo+dj1M+95faCl0D0HUsFyKqlByytFWBZrKEAODej55ney1skAlhKpUva1lTPOpJI/7SrEpEPbFgSeFxo53Cuet7cc25pdPSao2QZClUo9l//lXH4r3nH2ZzL8mQMyxUWR3NgC5j8fW0ioV2/vpeXHnyMrxKipnI7gBVoPP6+1/ArzbtAwAs77KnNC7rCCNbKGIknkFfW0i4jxRxn8XtIWwdiBkV4s1LCrF0Hl7GSlKTCc4AOaXmRgLeikODyJKgEZ/NgrC/9PdS/Ub03aOK31dOdXWuF9kTkM2LYUTlqrWJXLcYWXPl4g+HKhYkKaRzBTAGfOjCw+eEEAC7pVDNxtQRCZSti+iYo0ExswFpXWQpdEeD+Oprj7cdI2v2MtEdv7wD3S0BkxCAUjKlAOr+iZRBCgUs6Sg9t4vbw7j7uSFk8uUbvTUSNGjHZ0zpqwZnHdaDt5+xCmesVVuTTjz+6Ze6Fmg2Ck6LN5EtoKAYpWJZCqVWcUvQhwuP6MPFR5cGs8NS80ZqX1HOWmwL++FhohCyJeBdcJlHwAIlhbFEFkctbjP9tHONWrgw3PrcNBNI6+otE9y1F0xJBBH04f0XHIbP/PFZ8zknERIpHJhI48QVovmeKhC5uD1kFkg1s6WQK3CMJbJVT/pijOEzr6x+OEsz9vCRFYH/e9sGPLZr3Gw2KYM2Z7cg+ffffory+ZBhKRSL3DbNzQ1eD0NHRGS+NSJW1wxYkKSwpCOMWz9wdsM+3y14PB3Mh86NTktBeYxkDbUG7YvwjaetxGO7x7FzOI6tA7ESXzD5kvdPiCZ7blPF5NkXzRpToA0oX+QlQ2wOZSyR2m4fs7TdtWCSQ1gP0x14Q5ZIJl+0mv1VsBapyr5Zr5V6o7lsyQWCWgzo7pgHF+zyrgj8XobFZfPCLcIIOQbAB3wefPtNJ+Efjl8CoHQyXlvIj9agDwcm0uCcuw6QoQpooHn72HQ7MrIWCsKB6tyqVJ8x3dGY1ijPvK0AshzIotKWgkbdsaanpWSC20xBGlA1NQWNwmXHLsZJKzrKWgryJu0WMCf301pFeuCSDjFbIZUrIJMvKl0ksja6skmzSeQWKguJFKoFdTCebgEprY94Jm+lNVdwIS5qDwMY16SgUX/84X1nlgy8nykYY7j+LSdj/aLGxEWqgdfDsKyz/CZcjZ/7H45fgp7WAM47vNTXvLRTdAClwidVaqacw19JnkahWyLOZib6euD+j52PSgl0ZF1P11KgjX0ylasq0AxYioO/yYLyc4Wm+9aMsY8yxjhjTO1cnMdoDfltrozZ4uKjF2FljVpmNwohvxdnHdaDL7/mONdjwgEvLjiiX9mxdUlHCPslUlDFWrwehi9feRzeeNqKmrVvqDVki6kWMaf5hBXdEdc0XAL9btPNBpKnFE6laNhPeVKglhzvOHPVtD7rUEFTXX2MseUAXgpgT6Nl0Zg73PRPp834f5d0hDGRzGHvmGh30dWiXvCv27Acr9uwXPlaM0Du7y8PCdIQoBY0WanNRzWQLYXJVA5+LyuJXTlxwvIOvPD5l7vOpzjU0Wxq09cBXAugNFFZQ0MBKsb682bRO0kO2M4nMMZw3nrR6XRxe+ncgYWOow2inG5arUwKE8bciWqKPRcqIQBNZCkwxl4JYD/n/KlyPxpj7GoAVwPAihUr5kg6jWbFS9Z0I+jz4E9GQ71lnfN3Q73+LRtsDe80LHzgwnV4ydpunGLMWKgWMimMJbJNWavRbJhTUmCM/QXAIsVL/w/AvwK4uNJ7cM6vB3A9AGzYsEFbFAscIb8XJ6/sxMM7RwGgYruHZkbA52namEej4fN6XGsYyiHk9yLg82AylcN4hQl1GgJzSgqc84tUzzPGjgWwGgBZCcsAPM4YO5VzPjCHImrMQ3z5yuPwgZufwOUnLK18sMaCQ3vYjynDUjhikY7XVEJTuI84588AMPMNGWO7AWzgnI80TCiNeYNlnRH89j1nNloMjSZFe9hvuo86XRIRNCxoW1VDQ+OQRnvYj5FYFuPJHPpaF17X0+miKUmBc75KWwkaGhq1QHvYj21DMQDlB/JoCDQlKWhoaGjUCu1hvznOtb+GxaOHKjQpaGhoHNLoa7NqV+SBPBpqaFLQ0NA4pLHWGAPr87AFOXN5utCkoKGhcUjj4qP7ccqqTtz+ocbNUJlPaIqUVA0NDY16oSMSwK+uOaPRYswbaEtBQ0NDQ8OEJgUNDQ0NDROaFDQ0NDQ0TGhS0NDQ0NAwoUlBQ0NDQ8OEJgUNDQ0NDROaFDQ0NDQ0TGhS0NDQ0NAwwTifv8PLGGPDAF6cxVv0AGjWbqxatpmjmeXTss0czSxfI2SbzWeu5Jz3ql6Y16QwWzDGNnLONzRaDhW0bDNHM8unZZs5mlm+RshWr8/U7iMNDQ0NDROaFDQ0NDQ0TCx0Uri+0QKUgZZt5mhm+bRsM0czy9cI2erymQs6pqChoaGhYcdCtxQ0NDQ0NCRoUtDQ0NDQMKFJoYFgjLFGy6Ch0SzQ66E5oEmhsfA2WoBK0At1+mCMncIY8zdajnmIpl8PwKG/Jg5JUmCMXc4YO9u433TfkTH2esbY3wBc0mhZnGCMvZMx9l+MsSsAgDdRJgJj7G2MsW8wxt7SaFlUMH7XPQC+xznPNdO118xropnXA9CYNdHI3+uQmtHMGOsA8HMAJwB43Kj4SzHGWKM3N0O76AVwN4BtAD7GOb+/kTLJMDTbzwI4DcDXAHzcOJ+3cc6HGnkOGWNLAdwEIAvg2wBuYIzFOOe/b4Q8TjDG1gD4AYAJAP8M4OuMsdWc810NFQzNuyaafT0AjVkTzfB7NZXGMFtwzicA3A7gUogL7T0NFUgCFxgCsBrAtznn9zPGuhljbY2WzUAewJEQi/NWAJ+D2OAuBBpuMRQhtO9LOOe3ALgOQFcD5TFhbG6LIH7TK4xz91cA6xsrmUCzrol5sB6ABqyJZvi95j0pMMY+yBh7KWNshfHUdQCeAXAngAsYY2s457xRJrMk32rjqX+G0HQ/COA2AD9gjL2PMRZtoGxLjQt8DwDqpXIXgDSAExljc77BMcZOYoyFjYdDnPNfGM9/GsC1AM5hjL1ROqYh8hnn7RHO+a+M50MAFgMIGo/n3E/OGLuaMXYBY2yl8dT30CRrQpKN1sM1aJL14JBvztZEs+1h85YUGGPLGGP3QPghLwLwM8ZYgHOe4pwXAPwdwJMA3g8AnPNig+W7iTEW5JzfCGAYwMsBXA6xYM8GcE4DZbvZ2LzuBfAaxtg3AdwD4HEIE3/OgqaMsdMYY4MAvg/gRAAwfk/yrR4EcASA7wC4DIbW1mD5uPGal3OeBvAYgLfLss+RbBcxxh4H8AoAVwC4njHm55ynG70mFLJdZ6zXmyA6fTZsPSjkexWA7xvX230ArqzHmmjWPWzekgKACIBJzvnLOecfB7AXwt9MGAXwJwDLGWNHMMbaGWP9DZRvD4QGAIiL4FLO+QDn/C8QvuiXNFC2gwC+YfjoPwDgaQCf45x/GEALLE2prjCIqR/Av0FoZaczxvqM1xjnvMg5v4Fzvotz/ncAMQh/75ygnHyAjQAeAXCAMTZnLi7D7XI+gH/jnL8SwL8CGITYgAkNWRMusg0AuNI45KVo4HpQyPdJCKJ6Bef8dwDeh/qsiabcw+YzKSwDMCQtvPcBOIMxdgpg+iwfAbARYpE+DtF/vJHyncIYO8XwGzLA3GhCEBddo2R7D4DzGWOncc6f55z/H+f8LsZYC4AMgDkJABqb6kOc8+sA/B5CE7dp4wRDiwsC2DwXslWSz5CJUhULAI7inI/NoWxTAH4G4Y8GhD+cwZg3QoHKRqyJMrLtMF6flK0tzPF6cJGPQxAXOOfb6rQmmnIPm8+k8DSA4wEcBgCc81EAPwXwRTqAMfZmAB8G8BMAx3HOtzSRfFHG2AcAPAFgCsAtTSDb5wGxMBljHzdkG8XsBhlNC4Ys4Jw/DGA7gHMZY+sMuXyMsX7D//wEgDiA382VbJXkg7We/gpgBWPsuDmWbQvnPG8QQBrCzRGSj2nUmignGxNobeB6qEY+Tx3WRHPuYZzzpv0DcByAfsXzfuP2UwB+AyBgPA5D+MXXGI/PBXB0k8l3H4AVANoAXF0v+WYhG527ywAcO8eyUYNGn3G7FiIV9TLjcQvEQv1gg37XSvK1S8d2NEg2j3G7BsAWpzwALmjANVdJtigEof5zg3/XSufuldNdE8b5fgeAwxzPN8UeppR5Lj9sGieyA8I8zxsnNEQ/Hv1w0rG3AfgXAN0Qfr6bAHibWL6f0kXYhLLV9dxNRzbpf14N4BcAngJwU7P8rgr5ngTw02aRDcAZAL4EofH+GsCXm1i2LzbT71qLcwcRe/odgIcAfBMiBnWx8Zrfceyc72Hl/prVfbQMgi0/DuBoiGwTcIGi4Ua4jokKww8DaAfwS4gN9zFe/4yP2cj3d25cCU0oW73PXTWyfZsx9i7pfy6DCMz/jHP+5jrKNlv5buacv6kJZLvaOP4oAB8DcAeAhznn1zaxbJ+oo2y1kG8m5+5iAE9yzs/knL8fgiCuMD431wR7mDsaxUYKZr0QwJHEpBBmVBDA/0GkZHUYr/UCuMF4vlP6/9NQJ5O92eU7xGS7nmQD0AexOHua6HedM/lm87tC+KW/0US/65zJ1ij5jM88yrjfA2CZ9Nr7IbKbAGFFzPkeVvX3aLgAwHKI4M09AP4C4J/kEwPgZQB+COB86bnF0v16u4qaVr5DWbZmv+6aXTYAwYUmW6Pkc/nMduM1ih1cC+C/pf9ZJN1vmKtI9dcM7qMjANzNOb8AwBcg2gP8C73IOf8zRLT/dABgoor0oJEh4+H1N7OaWb5DVrY6yjUf5Ju1bJzzzAKUrVHyqT7zI8ZrtMbOhYgdgDHWyjkfmMM9bFpoBlI4DkZKFoAHISLxJzHG5OKQLwE4kjF2K4DnGGP9nPMCn5sKv2aWT8t2aMqnZZtf8rl+JhcxizYAQwAeY6JNy+8YY91zeE6mhYaRglTo8xMAixljJxkM/RxEUOi10uGnAHgjgHEAZ3POBxeyfFq2Q1M+Ldv8km8anxkE8FYAjwJYBeCt3Kh3aUbMCSkwxhYbt2ZzMG440yBK2n8HkaMMiMKVgwA4Y8zPGAtCpGpdzDl/M+d870KST8t2aMqnZZtf8s30M43Hx0GkpL6Vc/5OzvmBqr9sI1CvYIVxvqIAboRofXwMl4IqMAqAjPtrIfxtVxuPXwHgR/WUrdnl07IdmvJp2eaXfLP8zB/X+5zU448q+eoCxthVECwZAnAq5/wsxTFvg2gWl4Uo8ngMopf4f3DOv89Y/YZLNLN8WrZDUz4t2/ySr0af6eFNGDtwRR3YfDWAsHG/E0Cfcf9FAFcZ9/0QQ1KegijWWGw8vwqic+K6erFgM8unZTs05dOyzS/5mv2c1Puvlj/eKgB/hhiv9xsA6x2vXwlgj+O54+fsizaxfFq2Q1M+Ldv8kq/Zz8mcnftZnkQm3f8WgM8Y998HUbJ9jOP4hwB81rgfkp6vS/FGM8unZTs05dOyzS/5mv2cNOJvtj8imVg+44S+VnptN8RM0z7puT6INLDPQAyc6ZvN589n+bRsh6Z8Wrb5JV+zn5NG/PkwAzDGXgpRtv08Y+x+zvkvGWNjELNLtxmHbQawEsLvNmQ81wvRMvo8AO/nYnB3zdHM8mnZDk35tGzzS75mPycNxQyY9TAAf4OYp3oigJshJne1Avg0xPi4ByFawP4MwPuM/1sGMX/19XXWNppWPi3boSmflm1+ydfs56TRf9WeRA+sARRvAvAd6bV3QhRv9BqP10ivvRfAP9X9SzSxfFq2Q1M+Ldv8kq/Zz0kz/VWsaGaM/SOAfQD+03jqGQBvYIytMh77AOwE8HXj8S7j/642TvbjlT5jNmhm+bRsh6Z8Wrb5JV+zn5OmQwV2jUJMLPogxIk5wnj+fyBMrocgpgQdC+BWGKPuAHwIooDjlDprHE0rn5bt0JRPyza/5Gv2c9KMf9Wc1BXG7RcB/MK474UIvpxlPF4O4Ecw+pADiMzZF2hi+bRsh6Z8Wrb5JV+zn5Nm+6voPuKc7zHu/g+A1YyxS7jo/z3JOX/QeO0aAEmIGajgnCcrvW+t0MzyadkOTfm0bPNLvmY/J02HaTLuuwH8VXp8KoA/QDSCWjSd96rHXzPLp2U7NOXTss0v+Zr9nDTDX9UN8aipE2Ps1xBtYTMQo+e2c853VvUmdUQzy6dlmzmaWT4t28zRCPma/Zw0C6qep2CczAhERd8bIHqA3N4sJ7OZ5dOyzRzNLJ+WbeZohHzNfk6aBdOtaH4PRAT/pby+c1ZnimaWT8s2czSzfFq2maMR8jX7OWk4pjVPodn7gjezfFq2maOZ5dOyzRyNkK/Zz0kzoK5DdjQ0NDQ05hfmZEazhoaGhsb8gCYFDQ0NDQ0TmhQ0NDQ0NExoUtDQmAYYYx2MsfcY95cYOe8aGocMdKBZQ2MaMDpr/olzfkyjZdHQqAdmNHlNQ2MB44sA1jLGngSwHcCRnPNjGGNvB3AFRKO1YwD8N4AAgLdAVM6+nHM+xhhbC+DbEBO8kgDexTnfOtdfQkPDDdp9pKExPXwCwE7O+QkAPuZ47RgAb4Top/M5AEnO+YkAHgHwVuOY6yHGOJ4M4KMAvjMXQmtoVAttKWho1A73cs5jAGKMsUkAfzSefwbAcYyxKIAzAPyKMUb/E5x7MTU03KFJQUOjdpDbJhSlx0WIteYBMGFYGRoaTQntPtLQmB5iEAPepw3O+RSAXYyx1wIAEzi+lsJpaMwWmhQ0NKYBzvkogIcYY5sBfGUGb/EmAO9kjD0FYAuAy2spn4bGbKFTUjU0NDQ0TGhLQUNDQ0PDhCYFDQ0NDQ0TmhQ0NDQ0NExoUtDQ0NDQMKFJQUNDQ0PDhCYFDQ0NDQ0TmhQ0NDQ0NExoUtDQ0NDQMPH/AZ/nEBWAETL8AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wind_12_anom.spd.sel(time=\"1991-01\").plot()\n",
    "wind_12.spd.sel(time=\"1991-01\").plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "372f5dac",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:40.920827Z",
     "start_time": "2022-07-07T11:25:40.730882Z"
    }
   },
   "outputs": [],
   "source": [
    "pblh_12_clim = pblh_12.groupby(\"time.hour\").mean(\"time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6b822ebb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:41.076359Z",
     "start_time": "2022-07-07T11:25:41.067608Z"
    }
   },
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".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.Dataset&gt;\n",
       "Dimensions:  (hour: 24)\n",
       "Coordinates:\n",
       "  * hour     (hour) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23\n",
       "Data variables:\n",
       "    var159   (hour) float32 233.6 418.4 619.3 822.9 ... 225.4 213.4 183.0 176.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-435076f7-eae3-40c5-be3e-5a7abcd17119' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-435076f7-eae3-40c5-be3e-5a7abcd17119' 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'>hour</span>: 24</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7ff163a8-88b1-4ef1-8b61-f33dca1546ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7ff163a8-88b1-4ef1-8b61-f33dca1546ca' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>hour</span></div><div class='xr-var-dims'>(hour)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 18 19 20 21 22 23</div><input id='attrs-575ccd7c-5434-4b95-adb5-ea6b67df630d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-575ccd7c-5434-4b95-adb5-ea6b67df630d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db3a5769-67c4-47cd-bc18-e97728cb8a95' class='xr-var-data-in' type='checkbox'><label for='data-db3a5769-67c4-47cd-bc18-e97728cb8a95' 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, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-23f6b2ff-f440-4350-a3b5-635ad86eeb90' class='xr-section-summary-in' type='checkbox'  checked><label for='section-23f6b2ff-f440-4350-a3b5-635ad86eeb90' 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>var159</span></div><div class='xr-var-dims'>(hour)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>233.6 418.4 619.3 ... 183.0 176.8</div><input id='attrs-d8bc466f-4a0d-4baa-8130-bc9f4ed48d63' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d8bc466f-4a0d-4baa-8130-bc9f4ed48d63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db2fbe83-a15d-47c6-98f6-59a8f725cef7' class='xr-var-data-in' type='checkbox'><label for='data-db2fbe83-a15d-47c6-98f6-59a8f725cef7' 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([ 233.57178,  418.43274,  619.3428 ,  822.9353 , 1013.0207 ,\n",
       "       1160.0453 , 1247.3229 , 1265.3042 , 1195.9452 , 1039.8256 ,\n",
       "        709.8622 ,  371.58707,  266.50436,  248.21521,  248.04045,\n",
       "        249.46907,  248.4033 ,  246.64877,  242.76   ,  235.78764,\n",
       "        225.37929,  213.40431,  182.95673,  176.808  ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e60e4c9d-1a7b-4079-85db-e543610f2eac' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e60e4c9d-1a7b-4079-85db-e543610f2eac' 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:  (hour: 24)\n",
       "Coordinates:\n",
       "  * hour     (hour) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23\n",
       "Data variables:\n",
       "    var159   (hour) float32 233.6 418.4 619.3 822.9 ... 225.4 213.4 183.0 176.8"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pblh_12_clim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3e2617a1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:41.484478Z",
     "start_time": "2022-07-07T11:25:41.400698Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f3167e4cd10>]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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m+F1K3LhiWjaZKUGtW4hcgsIixrR39vCrXQ188NqZpKeoaeB4CQaMa0tCmlmIXILCIsb8cmcD53v6uEfnVoy7paW5vHGinXPdOjlP5GIKixizvrKGBYVZlJWE/C4l7pSXhugLO3bWtvldisiko7CIIQdPnmX78VburihW08Ao6O9Aq3ULkbdTWMSQjdV1BAxWl6lpYDTkZaYwOz9D6xYig/AlLMzsb81st5m9bmZPmFmameWZ2SYzO+Dd5g54/kNmdtDM9pnZbX7U7DfnHE9X1/HO+VMpzEnzu5y4tbQ0cuU8nZwn8lYTHhZmVgR8Hqhwzi0GgsAa4EFgs3NuAbDZu4+ZLfQeXwTcDnzDzBLuMKDtx09T03Jes4ooKy8NcepsF7Wnz/tdisik4tduqCQg3cySgAygHlgFPOY9/hiw2tteBaxzznU5544AB4HlE1uu/zZU1ZGWHOC2xdP9LiWuvXnlPO2KEnmLIcPCzLLM7C5vt9Ffm9ntZjamgHHO1QH/ChwHGoA259zzwDTnXIP3nAag0HtJEVAz4FfUemOD1XufmVWaWWVTU9NYypxUunvD/GJnA7cunE5WapLf5cS1q6Znk56sk/NELnbJL34zuwf4HZFdP58j8n/zHweqzeyay31Dby1iFTAHmAlkmtnHhnrJIGOD7lB2zj3qnKtwzlUUFMRP2+6X9zfReq6HO8pn+l1K3EsKBlhSPEUzC5GLDDVL+M/Ajc65TwMrgELn3EeBjwHfHsN7vhc44pxrcs71AE8B7wAazWwGgHd70nt+LTCwCVIxkd1WCWNDdR15mSm6bsUEWTorlz31Z+js6fO7FJFJY6iwMKB/la8Db7eQc24nkDOG9zwOrDSzDIucLHALsBd4BljrPWctsNHbfgZYY2apZjYHWAC8Nob3jyntnT28sKeRDyyZQXJQRzpPhPKSEL1hx646nZwn0m+oHeC/Ap4zs5eA9wFPAphZHoPvGhoR59yrZvYzYDvQC1QBjwJZwHozu5dIoNztPX+3ma0H9njPf8A5lzD/y/fc6yfo6g2zulxHQU2UCyfnnea62Xk+VyMyOVwyLJxzXzKz9wMLgf/hnNvkPdQKLB3Lmzrnvgx8+aLhLiKzjMGe/zDw8FjeM1Y9XV3HrPwMytXeY8IUZKdSkpfO9mOtfpciMmkMeWiNc+5XRGYYA8fCRL7YJcoaz3Typ0PN/PV7Fqi9xwRbWprLK4eacc7psxdh6KOhPjVgu9jMNptZq5n9ycyumJjyEtsz1fU4B6vLdBTURCsvCXGyvYv6tk6/SxGZFIZaMf3cgO2vAuuBPOBfgG9GsyiJ2FBVx7XFU5hbkOV3KQln6awL6xYiMvIzuK9wzn3bORd2zm0gEhoSRfsb29nTcEYL2z65anoOqUkBrVuIeIZasyg2s68TOfKpwMySvfMiAJKjX1pie7qqjmDA+MAS7YLyQ0pS5OS8qhrNLERg6LD4+wHblUQObT1tZtOJnPsgURIOOzZW1/Ou+VMpyE71u5yEVV6ayw/+eJSu3j5SkxKud6XIW1xyN5Rz7rGLfk574yecc/8wcSUmnspjp6lrPc8d2gXlq6WlIbr7wrxed8bvUkR8d1mnBJvZfx3vQuSCDVV1pCcHuXXhNL9LSWgDT84TSXSX2z/i0+Nahbypq7ePX+1q4LZF08hUh1lfTctJoyiUrg60IgyxZmFml5p7G5AenXLkxX1NtJ3v0VFQk0R5aYhtxzSzEBlqZtEKLHDO5Vz0k03kOhQSBRur65ialcK75k/1uxQhsiuqoa2TxjM6OU8S21Bh8Tgw6xKP/SQKtSS8tvM9vLD3JB9YMpMkdZidFMq8nlzaFSWJbqijof4zsNXMSgZ57EtRrSpBPfd6A929YR0FNYksmplDctCormn1uxQRXw35v6/OOQc8PTGlyNNV9cyZmsmS4il+lyKetOQgV8/IoVon50mCG8m+ji1mdl3UK0lw9a3n2XKkmdVlRepyOsmUlYTYWdtGX3jQq/mKJISRhMXNwCtmdsjMdprZLjPbGe3CEs0zOyIdZlepw+ykU1YS4lx3H/sb2/0uRcQ3IzmQ/31Rr0J4uqqO8tIQs6dm+l2KXKR/kbu6ppWrZ4zlisIisWvYmYVz7phz7hiR63G7AT8yTt44cYY3TrRrYXuSmjM1kynpyVTriChJYMOGhZl9yMwOAEeAl4CjwK+jXFdCebqqnmDA+LNrZvhdigzCzCgrCemIKEloI1mz+EdgJbDfOTeHyHWy/xjVqhJIpMNsHTdeUUB+ljrMTlZlJSH2n2znbFev36WI+GIkYdHjnGsGAmYWcM79DiiLblmJ49UjLTS0daq9xyRXVhrCOdhZ2+p3KSK+GElYtJpZFvB74Mdm9gig/70aJxur68hMCXLr1eowO5mVFYcAncktiWskYfEyEAL+BngOOAR8MIo1JYzOnj5+uauB2xZPJz1FF9eZzHIzU5idn6F1C0lYIwkLA34DvEjkank/9XZLyRi9uO8k7Z29OgoqRpSX5lJd00qksYFIYhnJobP/3Tm3CHgAmAm8ZGYvRL2yBLChqo6C7FTeMU8dZmNBWUmIpvYu6tvUgVYSz2ham54ETgDNQGF0ykkcbed6+N0bTXzo2pkEA2rvEQvePDlP6xaSgEZynsVfmtmLwGZgKvAZ59ySaBcW7365q4HuvjCry7QLKlZcPSOHlKSAmgpKQhrJzGIW8AXn3CLn3Jedc3vG+qZmFjKzn5nZG2a218yuN7M8M9tkZge829wBz3/IzA6a2T4zu22s7z8ZbKiqZX5hFouL1D4iVqQkBVg0M0eL3JKQRrJm8aBzrnqc3/cR4Dnn3FXAtcBe4EFgs3NuAZFZzIMAZrYQWAMsAm4HvmFmMX3oUE3LObYePc0d5eowG2v6O9D29IX9LkVkQk345djMLAe4AfgegHOu2znXCqwCHvOe9hiw2tteBaxzznU5544AB4HlE1nzeHu6qg5Qh9lYVFYSoqs3zL4T6kAricWPa3fOBZqAfzOzKjP7rpllAtOccw0A3m3/InoRUDPg9bXe2NuY2X1mVmlmlU1NTdH7F4yBc44NVXWsmJNHcW6G3+XIKC0tjewdrdKuKEkwfoRFErAU+KZzrhzowNvldAmD7acZ9EB359yjzrkK51xFQUHB2CuNgh21bRw+1cGdS7WwHYuKc9PJz0zREVGScPwIi1qg1jn3qnf/Z0TCo9HMZgB4tycHPH/gdcCLgfoJqnXcbdheS2pSgPepw2xMutCBVkdESWKZ8LBwzp0AaszsSm/oFmAP8Ayw1htbC2z0tp8B1phZqpnNARYAr01gyeOmpy/MszsbeO/CaeSkJftdjlymspIQh5o6aDvf43cpIhNmJFfKi4a/JtKUMAU4DHySSHCtN7N7gePA3QDOud1mtp5IoPQCDzjn+vwpe2xe2tdES0c3d6q9R0wrKw0BkQ60714wOXd3iow3X8LCOxS3YpCHbrnE8x8GHo5mTRNhQ1UdeZkp3HCFvmBi2RKvA231cYWFJA4/1iwS0pnOHjbtbeSDS2aQHNTHHsumpCczvzBLR0RJQtG31gT59a4GunvD3LG02O9SZBz0X2ZVHWglUSgsJshT2+uYOzWTa4un+F2KjIOykhAtHd3UtJz3uxSRCaGwmAC1p8/x6pEWtfeII/0daKt0CK0kCIXFBNhYHTktRNfZjh9XTc8mLTmgpoKSMBQWUeac46nttSyfnUdJntp7xIukYIBriqYoLCRhKCyibFddG4eaOrhD7T3iTllJiN31Z+jqjcnTfkRGRWERZRuq6kgJBnj/YrX3iDflpbl094bZ26AOtBL/FBZR1NsX5tkd9dxydSFTMtTeI95cuMyqFrkl/iksouj3B05x6mw3d2hhOy7NmJJGYXaq1i0kISgsouipqjpyM5K56crC4Z8sMedCB9pWv0sRiTqFRZS0d/bw/O4TfGDJTFKS9DHHq7LSEEebz3G6o9vvUkSiSt9iUfLr10/Q1RvWUVBx7s11i9pWX+sQiTaFRZRs2F7H7PwMyr0vE4lPS4pDBAxdOU/insIiCupbz7PlSDOr1d4j7mWlJnHFtGx1oJW4p7CIgo3V9TiHjoJKEGUlIXaoA63EOYXFOHPOsaGqlmWzcpmVn+l3OTIBykpCtJ3v4cipDr9LEYkahcU4211/hv2NZzWrSCD9l1nVIbQSzxQW46y/vccHlqi9R6JYUJhNZkpQYSFxTWExjnr7wmysrufmqwoIZaT4XY5MkGDAuKZYHWglviksxtEfDp7i1Nku7ijXpVMTTXlpLnsbztDZow60Ep8UFuNoQ1UdU9KTufmqAr9LkQlWVhKip8+xu/6M36WIRIXCYpyc7erlN7tP8GdLZpCaFPS7HJlg/SdfVqkDrcQphcU4+c3rJ+jsCXOnjoJKSIU5acyckqZ1C4lbCotxsqGqjtK8DJbNyvW7FPFJWak60Er8UliMgxNtnfzx0Cm190hwZSUhak+f59TZLr9LERl3CotxsLG6Tu09hPLSyKxSTQUlHvkWFmYWNLMqM/uFdz/PzDaZ2QHvNnfAcx8ys4Nmts/MbvOr5sE45/hpZQ1LS0PMmar2Hols8cwpBAOmXVESl/ycWfwNsHfA/QeBzc65BcBm7z5mthBYAywCbge+YWaT5nCjrUdPc7ipgzXLS/0uRXyWnhLkqunZCguJS76EhZkVA38GfHfA8CrgMW/7MWD1gPF1zrku59wR4CCwfIJKHda6rcfJTk1Sew8BLnSgDYfVgVbii18zi68BXwTCA8amOecaALzb/gtXFwE1A55X6429jZndZ2aVZlbZ1NQ07kVfrO18D7/a1cCHymaSkZIU9feTya+sJER7Vy+Hms76XYrIuJrwsDCzDwAnnXPbRvqSQcYG/d8259yjzrkK51xFQUH0z6LeWF1HZ0+Yj2gXlHjKvQ60uhiSxBs/ZhbvBD5kZkeBdcB7zOxHQKOZzQDwbk96z68FSga8vhion7hyB+ec44nXalhclMPioil+lyOTxNypWWSnJWndQuLOhIeFc+4h51yxc242kYXr3zrnPgY8A6z1nrYW2OhtPwOsMbNUM5sDLABem+Cy32ZnbRt7G86w5jrNKuSCQMAoKwnp8FmJO5PpPIuvALea2QHgVu8+zrndwHpgD/Ac8IBzzvfWnuu2Hic9OciHymb6XYpMMmUlIfY1tnO+2/c/U5Fx4+uqrHPuReBFb7sZuOUSz3sYeHjCChtGR1cvz1TX82dLZpCTlux3OTLJLJ2VS1/Y8ezOeu6pKBn+BSIxYDLNLGLGszvq6eju4yPL9UUgb3fDggKum53LPz67h7rW836XIzIuFBaX4YmtNSwozGJpqZoGytsFA8ZX7ykj7Bx/t75a51xIXFBYjNLehjPsqGllzfJSNQ2USyrJy+DLH1zElsMtfP+PR/wuR2TMFBaj9NOtNaQEA7puhQzr7opibl04jf/5m33sO9HudzkiY6KwGIXOnj6e2l7L7Yunk5uZ4nc5MsmZGf985zXkpCXxhZ9W090bHv5FIpOUwmIUfv16A2c6e1mjhW0ZoalZqfzznUvY23CGr72w3+9yRC6bwmIUnnithtn5GVw/N9/vUiSG3LpwGh+uKOFbLx2i8miL3+WIXBaFxQgdajrLa0da+PB1WtiW0fsvH1xIUW46/2H9Ds529fpdjsioKSxG6Kdba0gKGH++TAvbMnpZqUl89Z4yak6f459+scfvckRGTWExAt29YX6+rZZbri6kMDvN73IkRl03O4/7b5zHuq01vLCn0e9yREZFYTECm/Y00tzRravhyZj97Xuv4OoZOTz41E6az3b5XY7IiCksRmDd1uMUhdK5YUH0r5Eh8S0lKcDXPlzGmfO9PPTULpzT2d0SGxQWw6hpOcfvD5zi7opiggEtbMvYXTk9m7+/7Uqe39PIk9tq/S5HZEQUFsNYX1lDwFD3UBlX975rDivn5vE/nt1DTcs5v8sRGZbCYgi9fWHWV9Zw4xUFzAyl+12OxJFAwPjXu6/FgL9bv4M+NRuUSU5hMYQX9zXReKZLC9sSFcW5Gfy3Dy3itaMtfPf3h/0uR2RICoshrNt6nILsVN5zVaHfpUicunNpEe9bPJ1/fX4fe+rP+F2OyCUpLC7hRFsnv33jJHcvKyY5qI9JosPMePiOa5iSnsJ/WF9NZ48uxSqTk74FL+HJyhrCDj58nRa2JbryMlP4l7uW8MaJdq77pxe49wdb+c7Lh9lV26a1DJk0fL0G92QVDjt+WlnDO+blMys/0+9yJAHcfFUh//bJ63h+dyOvHm5m8xsnAchOS2LFnDxWzs1n5dx8rp6Ro0O4xRcKi0H84eApak+f54u3X+V3KZJAbr6ykJuvjKyPNZ7pZMvhZu+nhRf2RsIjJy2J5XPyWTk3EiALZ+QQmIDw6As7+sKOgEUuG6tmmolHYTGIdVuPk5uRzG2LpvldiiSoaTlprCorYlVZpHHlibZOXj3SzCuHIgHywt5Ib6kp6ckU56ZjBkbkCzyy7fG+1O3CJgaEHfSGw/T2OXr6wvSG3Vu2e/rC9PWPhcNcfKJ5MGAEzQgGjKSAEQy+9X6gfzxgJAcDpCQFSA4GSA5G7qe+eT/gPe49LxggOSlAenKQrNQkstKSIreDbGemJGmWNYEUFhc5dbaLTXsa+cT1s0lNCvpdjggA06e8NTwa2s7z6uEWthxupqm9i/7vcufcgG3v1hu/WHIwQJL3ZZ4U9L7YA5Ht/seSvC/4JG+8f4bRF3b0hh1hFwmUvnD4ovuOPnchgCI/ju7eMO09vbRcNNbdf//N7ZGt1WSkBN8MkCkZyRRkpVKQnUphdpp3693PSWVqVqoOVhkDhcVFntpeS0+f4yO6Gp5MYjOmpLO6vIjVcXot+J6+MB1dvbR39tLR3cvZzl7au3rp6Ipsn+3yfrzH2zt7aT3Xw7Hmc1QeO01LR/egvzcvM4WCrEh4FGSlMm1KGrPyMpg9NZPZ+ZlMy0nVLrZLUFgM4Jxj3dYaKmblMr8w2+9yRBJWcjBAKCOFUMblXeu+uzdMc0cXJ8900dTexcn2/tvON+8fburgZHvnW2Yx6clBZuVnMDs/0wsQBUk/hcVFHl59DdoNKhLbUpICzJiSzowpQ7fp6Qs76lvPc7S5g6PN5zh6qoNjzR0cONnOb984SXdf+M3nDgyS+YVZLJiWxfzCLOYVZJGWHP+7rBUWA5gZ18/T9bVFEkUwYJTkZVCSl8G7F7z1sUsFyf6T7Wza2/jmOTABg9K8DOYXZrNgWhYLCrNYUJjNvMJMMlLi5ys2fv4lIiLjaKgg6e4Nc7S5gwONZzlwsp0DJ89ysPEsL+0/+ZbdWsW56ZHwmJbNTVcUcP28/JjdlTXhYWFmJcDjwHQgDDzqnHvEzPKAnwKzgaPAPc65095rHgLuBfqAzzvnfjPRdYuI9EtJCnDFtGyumJYNzHhzvKcvzLHmcxw82e4FSeTnj4eaefTlw8wryOTjK2fx58uKyU5L9u8fcBlsoq/UZWYzgBnOue1mlg1sA1YDfwG0OOe+YmYPArnOuS+Z2ULgCWA5MBN4AbjCOTdkE52KigpXWVkZxX+JiMjIdPb08YudDfzwlaPsqG0jIyXIHeVFfOL62Vw5fXIdTGNm25xzFRePT/jMwjnXADR42+1mthcoAlYBN3lPewx4EfiSN77OOdcFHDGzg0SC45WJrVxE5PKkJQe5a1kxdy0rZkdNK4+/cownt9Xy41ePs3xOHp+4fha3LZo+qc8DmfCZxVve3Gw28DKwGDjunAsNeOy0cy7XzP4vsMU59yNv/HvAr51zPxvk990H3AdQWlq67NixY9H/R4iIXIaWjm7WV9bwoy3HqD19nsLsVD6yvJR/v6KUaTlpvtV1qZmFbzFmZlnAz4EvOOeGauQ/2GrQoAnnnHvUOVfhnKsoKCgYjzJFRKIiLzOF+2+cx0t/fzPfW1vB1TNyeGTzAd75ld/ywI+3s+Vw86Bn3vvFl6OhzCyZSFD82Dn3lDfcaGYznHMN3rrGSW+8Fhh4OnUxUD9x1YqIRE8wYNxy9TRuuXoaR0918KMtx1hfWcMvdzUQ8lqY5GWmMNW7zc9KIT8rlfzMlMhPVgr5malMSU+OalNJPxa4jciaRItz7gsDxv8FaB6wwJ3nnPuimS0CfsKFBe7NwAItcItIvDrf3cezO+rZUdtKS0c3zWe7OdXRRUtHN63negZ9TTBg5GZEAuTnf/UOslIvby4waRa4gXcCHwd2mVm1N/YPwFeA9WZ2L3AcuBvAObfbzNYDe4Be4IHhgkJEJJalpwS557oS7hnk4ms9fWFOd3TT7IVIc0cXzWe7I6HibWdE4YxyXxe4o0kzCxGR0Zt0C9wiIhI7FBYiIjIshYWIiAxLYSEiIsNSWIiIyLAUFiIiMiyFhYiIDEthISIiw4rbk/LMrAm43LazU4FT41hOrNLnEKHPIUKfwwXx/FnMcs69rRNr3IbFWJhZ5WBnMCYafQ4R+hwi9DlckIifhXZDiYjIsBQWIiIyLIXF4B71u4BJQp9DhD6HCH0OFyTcZ6E1CxERGZZmFiIiMiyFhYiIDEthMYCZ3W5m+8zsoHdp14RlZkfNbJeZVZtZwlxFysy+b2Ynzez1AWN5ZrbJzA54t7l+1jgRLvE5/Dczq/P+JqrN7P1+1jgRzKzEzH5nZnvNbLeZ/Y03nnB/EwoLj5kFgf8HvA9YCHzEzBb6W5XvbnbOlSXY8eQ/AG6/aOxBYLNzbgGRa8Anwv9I/IC3fw4A/9v7myhzzv1qgmvyQy/wd865q4GVwAPe90LC/U0oLC5YDhx0zh12znUD64BVPtckE8w59zLQctHwKuAxb/sxYPVE1uSHS3wOCcc51+Cc2+5ttwN7gSIS8G9CYXFBEVAz4H6tN5aoHPC8mW0zs/v8LsZn05xzDRD58gAKfa7HT58zs53ebqq43/UykJnNBsqBV0nAvwmFxQU2yFgiH1f8TufcUiK75R4wsxv8Lkh8901gHlAGNAD/y9dqJpCZZQE/B77gnDvjdz1+UFhcUAuUDLhfDNT7VIvvnHP13u1JYAOR3XSJqtHMZgB4tyd9rscXzrlG51yfcy4MfIcE+Zsws2QiQfFj59xT3nDC/U0oLC7YCiwwszlmlgKsAZ7xuSZfmFmmmWX3bwP/Dnh96FfFtWeAtd72WmCjj7X4pv/L0XMHCfA3YWYGfA/Y65z76oCHEu5vQmdwD+AdCvg1IAh83zn3sL8V+cPM5hKZTQAkAT9JlM/CzJ4AbiLSgroR+DLwNLAeKAWOA3c75+J68fcSn8NNRHZBOeAo8Nn+/fbxyszeBfwe2AWEveF/ILJukVh/EwoLEREZjnZDiYjIsBQWIiIyLIWFiIgMS2EhIiLDUliIiMiwFBYi48TMZg/s0ioSTxQWIpOYmSX5XYMIKCxExlvQzL7jXfvgeTNLN7MyM9viNeDb0N+Az8xeNLMKb3uqmR31tv/CzJ40s2eB5/37p4hcoLAQGV8LgP/nnFsEtAJ/DjwOfMk5t4TImcBfHsHvuR5Y65x7T7QKFRkNhYXI+DrinKv2trcR6dIacs695I09Boykg++meG8fIbFFYSEyvroGbPcBoSGe28uF/wbTLnqsYxxrEhkzhYVIdLUBp83s3d79jwP9s4yjwDJv+64JrktkVHSkhUj0rQW+ZWYZwGHgk974vwLrzezjwG/9Kk5kJNR1VkREhqXdUCIiMiyFhYiIDEthISIiw1JYiIjIsBQWIiIyLIWFiIgMS2EhIiLD+v83F7IaTymxgQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pblh_12_clim.var159.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "468f3767",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:42.087536Z",
     "start_time": "2022-07-07T11:25:41.863662Z"
    }
   },
   "outputs": [],
   "source": [
    "pblh_12_anom = pblh_12.groupby(\"time.hour\") - pblh_12_clim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "33240384",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:42.382040Z",
     "start_time": "2022-07-07T11:25:42.371152Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
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       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 262992)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1991-01-01 ... 2020-12-31T23:00:00\n",
       "    hour     (time) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23\n",
       "Data variables:\n",
       "    var159   (time) float32 -201.4 -328.3 -359.1 -289.3 ... 107.0 54.82 80.06</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-de5e3242-675f-4908-90b4-2e18a9e542fc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-de5e3242-675f-4908-90b4-2e18a9e542fc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 262992</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dd04a02d-50e5-4bc3-873a-79e68a9ee589' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dd04a02d-50e5-4bc3-873a-79e68a9ee589' class='xr-section-summary' >Coordinates: <span>(2)</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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1991-01-01 ... 2020-12-31T23:00:00</div><input id='attrs-e770f762-d74f-4bcd-9fba-16ce9a2a6fde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e770f762-d74f-4bcd-9fba-16ce9a2a6fde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-507f1e2d-2939-4daf-9302-96d42f522651' class='xr-var-data-in' type='checkbox'><label for='data-507f1e2d-2939-4daf-9302-96d42f522651' 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>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1991-01-01T00:00:00.000000000&#x27;, &#x27;1991-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;1991-01-01T02:00:00.000000000&#x27;, ..., &#x27;2020-12-31T21:00:00.000000000&#x27;,\n",
       "       &#x27;2020-12-31T22:00:00.000000000&#x27;, &#x27;2020-12-31T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hour</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 18 19 20 21 22 23</div><input id='attrs-ff16db09-ead9-413c-b3d8-4fdc7e22f9e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff16db09-ead9-413c-b3d8-4fdc7e22f9e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-415fc668-d89f-4a74-8e69-d667a21441e5' class='xr-var-data-in' type='checkbox'><label for='data-415fc668-d89f-4a74-8e69-d667a21441e5' 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, ..., 21, 22, 23])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1db8c042-8350-4617-a7c6-18b9485231b6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1db8c042-8350-4617-a7c6-18b9485231b6' 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>var159</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-201.4 -328.3 ... 54.82 80.06</div><input id='attrs-2ec6b839-6ff0-4374-b264-7184a98e0815' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2ec6b839-6ff0-4374-b264-7184a98e0815' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9629410-66dd-4341-9f36-c448db2c3af7' class='xr-var-data-in' type='checkbox'><label for='data-a9629410-66dd-4341-9f36-c448db2c3af7' 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([-201.3671 , -328.30994, -359.11206, ...,  107.00127,   54.82376,\n",
       "         80.05867], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-224d24cb-eae5-4af5-91c7-e63649e5b81b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-224d24cb-eae5-4af5-91c7-e63649e5b81b' 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:  (time: 262992)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1991-01-01 ... 2020-12-31T23:00:00\n",
       "    hour     (time) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23\n",
       "Data variables:\n",
       "    var159   (time) float32 -201.4 -328.3 -359.1 -289.3 ... 107.0 54.82 80.06"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pblh_12_anom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "60d7eaf3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:42.908270Z",
     "start_time": "2022-07-07T11:25:42.773474Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f3138880190>]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pblh_12_anom.var159.sel(time=\"1991-01\").plot()\n",
    "pblh_12.var159.sel(time=\"1991-01\").plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "379f0758",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:43.476547Z",
     "start_time": "2022-07-07T11:25:43.468388Z"
    }
   },
   "outputs": [],
   "source": [
    "ts = xr.merge([tdif_12_anom, wind_12_anom, pblh_12_anom])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ec2efd14",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:43.973572Z",
     "start_time": "2022-07-07T11:25:43.959343Z"
    }
   },
   "outputs": [
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       "\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
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       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 262992)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1991-01-01 ... 2020-12-31T23:00:00\n",
       "    hour     (time) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23\n",
       "Data variables:\n",
       "    var235   (time) float32 -1.663 -1.286 1.466 3.006 ... -3.574 -3.914 -4.198\n",
       "    spd      (time) float32 -3.376 -3.181 -3.223 -3.24 ... 2.767 1.501 1.603\n",
       "    var159   (time) float32 -201.4 -328.3 -359.1 -289.3 ... 107.0 54.82 80.06</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-afb8e968-404c-4410-b99a-cd54f689c5b0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-afb8e968-404c-4410-b99a-cd54f689c5b0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 262992</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-40c38e44-4ec5-4cf4-a3ac-bce9431a3428' class='xr-section-summary-in' type='checkbox'  checked><label for='section-40c38e44-4ec5-4cf4-a3ac-bce9431a3428' class='xr-section-summary' >Coordinates: <span>(2)</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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1991-01-01 ... 2020-12-31T23:00:00</div><input id='attrs-5d145214-aaf8-405e-85ee-c4034d6bb97d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d145214-aaf8-405e-85ee-c4034d6bb97d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdcedee6-a68e-4c52-8c17-52638d7d5e9a' class='xr-var-data-in' type='checkbox'><label for='data-fdcedee6-a68e-4c52-8c17-52638d7d5e9a' 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>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1991-01-01T00:00:00.000000000&#x27;, &#x27;1991-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;1991-01-01T02:00:00.000000000&#x27;, ..., &#x27;2020-12-31T21:00:00.000000000&#x27;,\n",
       "       &#x27;2020-12-31T22:00:00.000000000&#x27;, &#x27;2020-12-31T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hour</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 18 19 20 21 22 23</div><input id='attrs-fa11ec83-76f5-47c4-9c43-f72f35ba9c2f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa11ec83-76f5-47c4-9c43-f72f35ba9c2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a895e22c-f609-431e-bff8-04cef40c47eb' class='xr-var-data-in' type='checkbox'><label for='data-a895e22c-f609-431e-bff8-04cef40c47eb' 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, ..., 21, 22, 23])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d5635e80-b65c-40e7-9997-540b9cbf6ff8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d5635e80-b65c-40e7-9997-540b9cbf6ff8' class='xr-section-summary' >Data variables: <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>var235</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.663 -1.286 ... -3.914 -4.198</div><input id='attrs-3b7ecdeb-30bf-4cca-9669-53b0a9735b4e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3b7ecdeb-30bf-4cca-9669-53b0a9735b4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2d12094-fd60-4401-b417-62e4ab935bb1' class='xr-var-data-in' type='checkbox'><label for='data-b2d12094-fd60-4401-b417-62e4ab935bb1' 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([-1.6628265, -1.2855222,  1.4656986, ..., -3.5737643, -3.913505 ,\n",
       "       -4.197969 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spd</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-3.376 -3.181 ... 1.501 1.603</div><input id='attrs-4f4d157d-ac2e-41eb-be91-380edbfa3500' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f4d157d-ac2e-41eb-be91-380edbfa3500' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3afd7921-d3b1-46fd-a1c0-77869ee55a84' class='xr-var-data-in' type='checkbox'><label for='data-3afd7921-d3b1-46fd-a1c0-77869ee55a84' 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([-3.3762674, -3.1810856, -3.223467 , ...,  2.7666917,  1.5010257,\n",
       "        1.6029973], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>var159</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-201.4 -328.3 ... 54.82 80.06</div><input id='attrs-0c8e6929-d64d-4037-b0d3-77b690f8200e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c8e6929-d64d-4037-b0d3-77b690f8200e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a3b1c6f-01fb-4cad-882b-185a3c092fa7' class='xr-var-data-in' type='checkbox'><label for='data-4a3b1c6f-01fb-4cad-882b-185a3c092fa7' 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([-201.3671 , -328.30994, -359.11206, ...,  107.00127,   54.82376,\n",
       "         80.05867], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b7e6aa34-b4a4-4ea2-81ed-8fa3e0e0b6cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b7e6aa34-b4a4-4ea2-81ed-8fa3e0e0b6cb' 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:  (time: 262992)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1991-01-01 ... 2020-12-31T23:00:00\n",
       "    hour     (time) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23\n",
       "Data variables:\n",
       "    var235   (time) float32 -1.663 -1.286 1.466 3.006 ... -3.574 -3.914 -4.198\n",
       "    spd      (time) float32 -3.376 -3.181 -3.223 -3.24 ... 2.767 1.501 1.603\n",
       "    var159   (time) float32 -201.4 -328.3 -359.1 -289.3 ... 107.0 54.82 80.06"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "ed6987a2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:44.388225Z",
     "start_time": "2022-07-07T11:25:44.385894Z"
    }
   },
   "outputs": [],
   "source": [
    "ts = ts.rename({'var235':'tdif', 'spd':'wind', 'var159':'pblh'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "721af6b3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:44.890257Z",
     "start_time": "2022-07-07T11:25:44.871229Z"
    }
   },
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 262992)\n",
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       "    tdif     (time) float32 -1.663 -1.286 1.466 3.006 ... -3.574 -3.914 -4.198\n",
       "    wind     (time) float32 -3.376 -3.181 -3.223 -3.24 ... 2.767 1.501 1.603\n",
       "    pblh     (time) float32 -201.4 -328.3 -359.1 -289.3 ... 107.0 54.82 80.06</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8312abf5-c3c1-405a-b8e3-a5c2b8b84915' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8312abf5-c3c1-405a-b8e3-a5c2b8b84915' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 262992</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5ed28873-3cbe-43dd-aee2-2191e8df8fb0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5ed28873-3cbe-43dd-aee2-2191e8df8fb0' class='xr-section-summary' >Coordinates: <span>(2)</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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1991-01-01 ... 2020-12-31T23:00:00</div><input id='attrs-a532b87a-0caf-44ec-802d-bbc0051f41cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a532b87a-0caf-44ec-802d-bbc0051f41cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-281fe155-90f5-40d5-9cf2-4e18e9c24fe5' class='xr-var-data-in' type='checkbox'><label for='data-281fe155-90f5-40d5-9cf2-4e18e9c24fe5' 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>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1991-01-01T00:00:00.000000000&#x27;, &#x27;1991-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;1991-01-01T02:00:00.000000000&#x27;, ..., &#x27;2020-12-31T21:00:00.000000000&#x27;,\n",
       "       &#x27;2020-12-31T22:00:00.000000000&#x27;, &#x27;2020-12-31T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hour</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 18 19 20 21 22 23</div><input id='attrs-c06af35b-bdcd-4334-85e8-6195a7dad133' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c06af35b-bdcd-4334-85e8-6195a7dad133' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43895c7e-a317-4952-89a1-ea0457ce48ab' class='xr-var-data-in' type='checkbox'><label for='data-43895c7e-a317-4952-89a1-ea0457ce48ab' 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, ..., 21, 22, 23])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b6fba6d-2970-4d59-a8ee-91ae98b5bed7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b6fba6d-2970-4d59-a8ee-91ae98b5bed7' class='xr-section-summary' >Data variables: <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>tdif</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.663 -1.286 ... -3.914 -4.198</div><input id='attrs-35bb9c80-ea18-4b9e-a709-74e2e6804163' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-35bb9c80-ea18-4b9e-a709-74e2e6804163' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52b5c9d6-b43b-4434-a7ed-2d4751a70cdb' class='xr-var-data-in' type='checkbox'><label for='data-52b5c9d6-b43b-4434-a7ed-2d4751a70cdb' 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([-1.6628265, -1.2855222,  1.4656986, ..., -3.5737643, -3.913505 ,\n",
       "       -4.197969 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-3.376 -3.181 ... 1.501 1.603</div><input id='attrs-d03d4e6f-0fc2-4397-994a-6b4d967bcf1a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d03d4e6f-0fc2-4397-994a-6b4d967bcf1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcb5dcdf-7b5b-4fbb-a46e-8b4dc5ee6601' class='xr-var-data-in' type='checkbox'><label for='data-fcb5dcdf-7b5b-4fbb-a46e-8b4dc5ee6601' 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([-3.3762674, -3.1810856, -3.223467 , ...,  2.7666917,  1.5010257,\n",
       "        1.6029973], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pblh</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-201.4 -328.3 ... 54.82 80.06</div><input id='attrs-a7e29f46-9268-41c6-8553-c86073ba2ceb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a7e29f46-9268-41c6-8553-c86073ba2ceb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94d33337-a202-490b-9d7f-f50095ba92b3' class='xr-var-data-in' type='checkbox'><label for='data-94d33337-a202-490b-9d7f-f50095ba92b3' 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([-201.3671 , -328.30994, -359.11206, ...,  107.00127,   54.82376,\n",
       "         80.05867], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-22f26226-334c-4ef7-993b-b68246b75809' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-22f26226-334c-4ef7-993b-b68246b75809' 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:  (time: 262992)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1991-01-01 ... 2020-12-31T23:00:00\n",
       "    hour     (time) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23\n",
       "Data variables:\n",
       "    tdif     (time) float32 -1.663 -1.286 1.466 3.006 ... -3.574 -3.914 -4.198\n",
       "    wind     (time) float32 -3.376 -3.181 -3.223 -3.24 ... 2.767 1.501 1.603\n",
       "    pblh     (time) float32 -201.4 -328.3 -359.1 -289.3 ... 107.0 54.82 80.06"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "37feb441",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:45.724825Z",
     "start_time": "2022-07-07T11:25:45.487934Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1, (ax0, ax1) = plt.subplots(nrows=2, ncols=1, figsize=(6,8))\n",
    "\n",
    "ax0.plot(tdif_12_clim.var235)\n",
    "ax0.set_xlabel(\"hour (UTC)\", fontsize=16)\n",
    "ax0.set_ylabel(\"temp diff (deg C)\", fontsize=16)\n",
    "\n",
    "ax1.plot(wind_12_clim.spd)\n",
    "ax1.set_xlabel(\"hour (UTC)\", fontsize=16)\n",
    "ax1.set_ylabel(\"wind speed (m/s)\", fontsize=16)\n",
    "\n",
    "fig1.tight_layout()\n",
    "fig1.savefig(\"scatter_plot.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7b62294d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:45.955039Z",
     "start_time": "2022-07-07T11:25:45.948137Z"
    }
   },
   "outputs": [],
   "source": [
    "U = wind_12_anom.spd\n",
    "z = pblh_12_anom.var159\n",
    "tke = U**2 * z\n",
    "udz = U/z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b96f0591",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:46.786429Z",
     "start_time": "2022-07-07T11:25:46.775951Z"
    }
   },
   "outputs": [
    {
     "data": {
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       ".xr-array-wrap {\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "}\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",
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       "\n",
       ".xr-attrs dd {\n",
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       "\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 (time: 262992)&gt;\n",
       "array([-2295.4202 , -3322.2686 , -3731.4402 , ...,   819.05005,\n",
       "         123.52221,   205.71878], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1991-01-01 ... 2020-12-31T23:00:00\n",
       "    hour     (time) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23</pre><div class='xr-wrap' style='display:none'><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'>time</span>: 262992</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7928cf92-f2e3-432f-a10c-b4929038b95f' class='xr-array-in' type='checkbox' checked><label for='section-7928cf92-f2e3-432f-a10c-b4929038b95f' 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>-2.295e+03 -3.322e+03 -3.731e+03 -3.037e+03 ... 819.1 123.5 205.7</span></div><div class='xr-array-data'><pre>array([-2295.4202 , -3322.2686 , -3731.4402 , ...,   819.05005,\n",
       "         123.52221,   205.71878], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-4dddb08b-3a8b-4d0d-861d-4d170a9faadc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4dddb08b-3a8b-4d0d-861d-4d170a9faadc' class='xr-section-summary' >Coordinates: <span>(2)</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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1991-01-01 ... 2020-12-31T23:00:00</div><input id='attrs-c8c21b1a-6441-4871-82bd-0c9a0aed68b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8c21b1a-6441-4871-82bd-0c9a0aed68b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3a819e9-3ce2-452c-926a-a195012f1ff2' class='xr-var-data-in' type='checkbox'><label for='data-e3a819e9-3ce2-452c-926a-a195012f1ff2' 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>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1991-01-01T00:00:00.000000000&#x27;, &#x27;1991-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;1991-01-01T02:00:00.000000000&#x27;, ..., &#x27;2020-12-31T21:00:00.000000000&#x27;,\n",
       "       &#x27;2020-12-31T22:00:00.000000000&#x27;, &#x27;2020-12-31T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hour</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 18 19 20 21 22 23</div><input id='attrs-c51f54b5-71d5-4395-b4ff-a7e5029c41bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c51f54b5-71d5-4395-b4ff-a7e5029c41bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e05fb0d7-a5df-4bcb-a372-97719ff80ff3' class='xr-var-data-in' type='checkbox'><label for='data-e05fb0d7-a5df-4bcb-a372-97719ff80ff3' 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, ..., 21, 22, 23])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cca3af5b-83f9-42da-a65e-7689b6f4c713' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cca3af5b-83f9-42da-a65e-7689b6f4c713' 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 (time: 262992)>\n",
       "array([-2295.4202 , -3322.2686 , -3731.4402 , ...,   819.05005,\n",
       "         123.52221,   205.71878], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1991-01-01 ... 2020-12-31T23:00:00\n",
       "    hour     (time) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tke"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "5844d5d3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:53.888694Z",
     "start_time": "2022-07-07T11:25:50.830328Z"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#.sel(time=tdif_12_anom.time.dt.hour.isin([3,4,5,6,7,8,9]))\n",
    "#.sel(time=wind_12_anom.time.dt.hour.isin([3,4,5,6,7,8,9]))\n",
    "\n",
    "fig, ((ax0, ax1), (ax2, ax3)) = plt.subplots(nrows=2, ncols=2, figsize=(10,8))\n",
    "\n",
    "ax0.scatter(x=tdif_12_anom.var235, y=wind_12_anom.spd)\n",
    "ax0.set_xlabel(\"$\\Delta$T (C)\", fontsize=14)\n",
    "ax0.set_ylabel(\"U (m/s)\", fontsize=14)\n",
    "\n",
    "ax1.scatter(x=tdif_12_anom.var235, y=pblh_12_anom.var159)\n",
    "ax1.set_xlabel(\"$\\Delta$T (C)\", fontsize=14)\n",
    "ax1.set_ylabel(\"z (m)\", fontsize=14)\n",
    "\n",
    "ax2.scatter(x=tdif_12_anom.var235, y=tke)\n",
    "ax2.set_xlabel(\"$\\Delta$T (C)\", fontsize=14)\n",
    "ax2.set_ylabel(\"$U^2xz$\", fontsize=14)\n",
    "\n",
    "ax3.scatter(x=tdif_12_anom.var235, y=udz)\n",
    "ax3.set_xlabel(\"$\\Delta$T (C)\", fontsize=14)\n",
    "ax3.set_ylabel(\"$U/z$\", fontsize=14)\n",
    "ax3.set_ylim(-400,400)\n",
    "\n",
    "fig.tight_layout()\n",
    "fig.savefig(\"scatter_plot.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4d8163ed",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:54.407540Z",
     "start_time": "2022-07-07T11:25:54.011527Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'wind speed anom (m/s)')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#.sel(time=tdif_12_anom.time.dt.hour.isin([3,4,5,6,7,8,9]))\n",
    "#.sel(time=wind_12_anom.time.dt.hour.isin([3,4,5,6,7,8,9]))\n",
    "\n",
    "plt.scatter(x=pblh_12_anom.var159, \n",
    "            y=wind_12_anom.spd)\n",
    "\n",
    "plt.xlabel(\"BLH anom (deg C)\")\n",
    "plt.ylabel(\"wind speed anom (m/s)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "b5ae0080",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:54.915048Z",
     "start_time": "2022-07-07T11:25:54.524928Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'BLH anom (m/s)')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#.sel(time=tdif_12_anom.time.dt.hour.isin([3,4,5,6,7,8,9]))\n",
    "#.sel(time=wind_12_anom.time.dt.hour.isin([3,4,5,6,7,8,9]))\n",
    "\n",
    "plt.scatter(x=tdif_12_anom.var235, \n",
    "            y=pblh_12_anom.var159)\n",
    "\n",
    "plt.xlabel(\"temp diff anom (deg C)\")\n",
    "plt.ylabel(\"BLH anom (m/s)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2e9d7dbe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T11:25:55.044781Z",
     "start_time": "2022-07-07T11:25:55.033650Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.        , -0.10037415,  0.38839958],\n",
       "       [-0.10037415,  1.        ,  0.37839771],\n",
       "       [ 0.38839958,  0.37839771,  1.        ]])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.corrcoef([tdif_12_anom.var235, wind_12_anom.spd, pblh_12_anom.var159])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd416616",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T02:12:15.248753Z",
     "start_time": "2022-07-07T02:12:15.187430Z"
    }
   },
   "outputs": [],
   "source": [
    "np.corrcoef([tdif_12_anom.var235.sel(time=tdif_12_anom.time.dt.hour.isin([0,1,2,3,4,5,6,7,8,9])), \n",
    "             wind_12_anom.spd.sel(time=wind_12_anom.time.dt.hour.isin([3,4,5,6,7,8,9,10,11,12]))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ff72c795",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T02:12:15.278936Z",
     "start_time": "2022-07-07T02:12:15.250031Z"
    }
   },
   "outputs": [],
   "source": [
    "tdif_12_anom_day = tdif_12_anom.var235.sel(time=tdif_12_anom.time.dt.hour.isin([3,4,5,6,7,8]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "19a5a7b0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T02:12:15.309129Z",
     "start_time": "2022-07-07T02:12:15.280229Z"
    }
   },
   "outputs": [],
   "source": [
    "wind_12_anom_day = wind_12_anom.spd.sel(time=wind_12_anom.time.dt.hour.isin([4,5,6,7,8,9]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c0a2ba2b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T02:12:15.340151Z",
     "start_time": "2022-07-07T02:12:15.310394Z"
    }
   },
   "outputs": [],
   "source": [
    "pblh_12_anom_day = pblh_12_anom.var159.sel(time=pblh_12_anom.time.dt.hour.isin([4,5,6,7,8,9]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b4db4d1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T02:12:15.346757Z",
     "start_time": "2022-07-07T02:12:15.341462Z"
    }
   },
   "outputs": [],
   "source": [
    "np.corrcoef([tdif_12_anom_day, wind_12_anom_day, pblh_12_anom_day])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f96e66a2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T02:12:15.519313Z",
     "start_time": "2022-07-07T02:12:15.348055Z"
    }
   },
   "outputs": [],
   "source": [
    "plt.scatter(x=tdif_12_anom_day, y=pblh_12_anom_day)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e632796a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T02:12:15.696649Z",
     "start_time": "2022-07-07T02:12:15.520589Z"
    }
   },
   "outputs": [],
   "source": [
    "plt.scatter(x=tdif_12_anom_day, y=wind_12_anom_day)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0e21d738",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-07T02:12:15.876070Z",
     "start_time": "2022-07-07T02:12:15.697887Z"
    }
   },
   "outputs": [],
   "source": [
    "plt.scatter(x=pblh_12_anom_day, y=wind_12_anom_day)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bd36cd54",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c9a3bf83",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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