code/get_ERA5_moments-netcdf.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of CPUs: 256, number of threads: 6, number of workers: 42\n"
     ]
    }
   ],
   "source": [
    "from dask.distributed import Client\n",
    "import numpy as np\n",
    "from scipy.interpolate import griddata  \n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import intake\n",
    "import dask\n",
    "import multiprocessing\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import sys\n",
    "import glob\n",
    "ncpu = multiprocessing.cpu_count()\n",
    "threads = 6\n",
    "nworker = ncpu//threads\n",
    "print(f'Number of CPUs: {ncpu}, number of threads: {threads}, number of workers: {nworker}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-95bf4483-b87e-11ee-9271-080038c02e27</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "\n",
       "        <tr>\n",
       "        \n",
       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
       "        \n",
       "        </tr>\n",
       "\n",
       "        \n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\"></td>\n",
       "            </tr>\n",
       "        \n",
       "\n",
       "        </table>\n",
       "\n",
       "        \n",
       "\n",
       "        \n",
       "            <details>\n",
       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
       "    </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">242aadc7</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Workers:</strong> 9\n",
       "                </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total threads:</strong> 54\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total memory:</strong> 100.00 GiB\n",
       "                </td>\n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
       "</tr>\n",
       "\n",
       "            \n",
       "        </table>\n",
       "\n",
       "        <details>\n",
       "            <summary style=\"margin-bottom: 20px;\">\n",
       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
       "            </summary>\n",
       "\n",
       "            <div style=\"\">\n",
       "    <div>\n",
       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
       "        <div style=\"margin-left: 48px;\">\n",
       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-59ae5e8c-671d-40e1-a31d-b77992fabf61</p>\n",
       "            <table style=\"width: 100%; text-align: left;\">\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Comm:</strong> tcp://127.0.0.1:34689\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Workers:</strong> 9\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total threads:</strong> 54\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Started:</strong> Just now\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total memory:</strong> 100.00 GiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "\n",
       "    <details style=\"margin-left: 48px;\">\n",
       "        <summary style=\"margin-bottom: 20px;\">\n",
       "            <h3 style=\"display: inline;\">Workers</h3>\n",
       "        </summary>\n",
       "\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:36557\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:39939/status\" target=\"_blank\">http://127.0.0.1:39939/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.11 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:43553\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-otouc4t6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:32831\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:37453/status\" target=\"_blank\">http://127.0.0.1:37453/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.11 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:45725\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-xgckkphq\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:42527\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:38153/status\" target=\"_blank\">http://127.0.0.1:38153/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.11 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:39871\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-wo5q2pzg\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:39065\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:45597/status\" target=\"_blank\">http://127.0.0.1:45597/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.11 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:37993\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-65zev9wc\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:45745\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:33475/status\" target=\"_blank\">http://127.0.0.1:33475/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.11 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:37551\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-w3edmg85\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:45857\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:46577/status\" target=\"_blank\">http://127.0.0.1:46577/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.11 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:42643\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-_0wp_oqz\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 6</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:36165\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:34163/status\" target=\"_blank\">http://127.0.0.1:34163/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.11 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:45935\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-zg2ld4ug\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 7</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:33269\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:38427/status\" target=\"_blank\">http://127.0.0.1:38427/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.11 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:46127\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-xu3_zmxp\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 8</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:34581\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:45551/status\" target=\"_blank\">http://127.0.0.1:45551/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.11 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:34811\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-ma4qmcy5\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "\n",
       "    </details>\n",
       "</div>\n",
       "\n",
       "        </details>\n",
       "    </div>\n",
       "</div>\n",
       "            </details>\n",
       "        \n",
       "\n",
       "    </div>\n",
       "</div>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:34689' processes=9 threads=54, memory=100.00 GiB>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client = Client(processes=True)#, threads_per_worker=threads, n_workers=nworker)#, memory_limit='32GB')\n",
    "client"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# All datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_*129.nc\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1979-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1979-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1979-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1979-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1979-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1979-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1979-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1979-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1979-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1979-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1979-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1979-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1980-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1980-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1980-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1980-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1980-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1980-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1980-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1980-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1980-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1980-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1980-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1980-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1981-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1981-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1981-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1981-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1981-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1981-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1981-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1981-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1981-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1981-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1981-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1981-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1982-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1982-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1982-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1982-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1982-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1982-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1982-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1982-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1982-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1982-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1982-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1982-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1983-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1983-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1983-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1983-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1983-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1983-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1983-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1983-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1983-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1983-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1983-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1983-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1984-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1984-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1984-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1984-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1984-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1984-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1984-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1984-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1984-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1984-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1984-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1984-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1985-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1985-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1985-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1985-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1985-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1985-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1985-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1985-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1985-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1985-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1985-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1985-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1986-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1986-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1986-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1986-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1986-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1986-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1986-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1986-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1986-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1986-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1986-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1986-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1987-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1987-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1987-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1987-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1987-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1987-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1987-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1987-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1987-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1987-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1987-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1987-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1988-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1988-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1988-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1988-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1988-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1988-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1988-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1988-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1988-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1988-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1988-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1988-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1989-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1989-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1989-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1989-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1989-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1989-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1989-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1989-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1989-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1989-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1989-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1989-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1990-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1990-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1990-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1990-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1990-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1990-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1990-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_1990-08_129.nc',\n",
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       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2007-10_129.nc',\n",
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       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2009-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2009-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2009-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2009-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2009-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2010-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2010-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2010-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2010-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2010-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2010-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2010-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2010-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2010-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2010-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2010-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2010-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2011-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2011-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2011-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2011-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2011-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2011-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2011-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2011-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2011-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2011-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2011-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2011-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2012-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2012-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2012-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2012-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2012-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2012-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2012-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2012-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2012-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2012-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2012-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2012-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2013-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2013-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2013-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2013-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2013-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2013-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2013-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2013-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2013-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2013-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2013-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2013-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2014-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2014-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2014-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2014-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2014-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2014-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2014-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2014-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2014-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2014-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2014-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2014-12_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2015-01_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2015-02_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2015-03_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2015-04_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2015-05_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2015-06_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2015-07_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2015-08_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2015-09_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2015-10_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2015-11_129.nc',\n",
       " '/work/bd1022/from_Mistral/bd1022/b381258/ERA5/E5pl00_1D_2015-12_129.nc']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "root_path='/work/bd1022/from_Mistral/bd1022/b381258/ERA5/'#'/mnt/lustre02/work/bd1022/b381258/ERA5/'\n",
    "sub_dir=''\n",
    "variable=129\n",
    "infiles = f'{root_path}{sub_dir}E5pl00_1D_*{variable}.nc'\n",
    "print(infiles)\n",
    "sorted(glob.glob(infiles))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "root_path='/mnt/lustre02/work/bd1022/b381258/ERA5/'\n",
    "sub_dir=''\n",
    "variable=129\n",
    "infiles = f'{root_path}{sub_dir}E5pl00_1D_*{variable}.nc'\n",
    "print(infiles)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "\n",
       ".xr-attrs dt,\n",
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       "\n",
       ".xr-attrs dt {\n",
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       "\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 13514, lon: 1280, lat: 640, plev: 3)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1979-01-01 1979-01-02 ... 2015-12-31\n",
       "  * lon      (lon) float64 0.0 0.2812 0.5625 0.8438 ... 358.9 359.2 359.4 359.7\n",
       "  * lat      (lat) float64 89.78 89.51 89.23 88.95 ... -89.23 -89.51 -89.78\n",
       "  * plev     (plev) float64 1e+03 5e+03 1e+04\n",
       "Data variables:\n",
       "    Z        (time, plev, lat, lon) float32 dask.array&lt;chunksize=(31, 3, 640, 1280), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.10 (https://mpimet.mpg.d...\n",
       "    institution:  European Centre for Medium-Range Weather Forecasts\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Mon May 09 18:16:05 2022: cdo -sellevel,1000,5000,10000 /mn...\n",
       "    CDO:          Climate Data Operators version 1.9.10 (https://mpimet.mpg.d...</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-e54ed2fa-4488-46e8-86b5-5230697c1022' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e54ed2fa-4488-46e8-86b5-5230697c1022' 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>: 13514</li><li><span class='xr-has-index'>lon</span>: 1280</li><li><span class='xr-has-index'>lat</span>: 640</li><li><span class='xr-has-index'>plev</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cfbe2544-2b4c-49fa-8bb2-7fad20b3ed4f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cfbe2544-2b4c-49fa-8bb2-7fad20b3ed4f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>1979-01-01 ... 2015-12-31</div><input id='attrs-a95cfbc7-47a5-4dc5-b606-b51904fe8d3f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a95cfbc7-47a5-4dc5-b606-b51904fe8d3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86595324-712c-4ea1-bd31-be874d6d1249' class='xr-var-data-in' type='checkbox'><label for='data-86595324-712c-4ea1-bd31-be874d6d1249' 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([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-01-03T00:00:00.000000000&#x27;, ..., &#x27;2015-12-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-12-30T00:00:00.000000000&#x27;, &#x27;2015-12-31T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2812 0.5625 ... 359.4 359.7</div><input id='attrs-c55a7fca-2337-44dc-b4cd-9da5b154cacb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c55a7fca-2337-44dc-b4cd-9da5b154cacb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3814ddb4-b291-4a72-be3e-5af0d1ddece8' class='xr-var-data-in' type='checkbox'><label for='data-3814ddb4-b291-4a72-be3e-5af0d1ddece8' 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>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.812500e-01, 5.625000e-01, ..., 3.591562e+02,\n",
       "       3.594375e+02, 3.597188e+02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.78 89.51 89.23 ... -89.51 -89.78</div><input id='attrs-934cb779-7fad-4287-b63f-69d6adf0eee6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-934cb779-7fad-4287-b63f-69d6adf0eee6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fb1bd0b-c26b-4606-b735-158aa31ebf5c' class='xr-var-data-in' type='checkbox'><label for='data-7fb1bd0b-c26b-4606-b735-158aa31ebf5c' 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>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 89.784877,  89.506203,  89.225883, ..., -89.225883, -89.506203,\n",
       "       -89.784877])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+03 5e+03 1e+04</div><input id='attrs-64f3b79e-92a7-4012-8b66-b48fc72ca6a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64f3b79e-92a7-4012-8b66-b48fc72ca6a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed2d1551-5545-4b32-badf-1bf0f0c06ec5' class='xr-var-data-in' type='checkbox'><label for='data-ed2d1551-5545-4b32-badf-1bf0f0c06ec5' 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>air_pressure</dd><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([ 1000.,  5000., 10000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e762c09c-d0c2-45e7-b0e0-1407796a39eb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e762c09c-d0c2-45e7-b0e0-1407796a39eb' 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>Z</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(31, 3, 640, 1280), meta=np.ndarray&gt;</div><input id='attrs-8fb39b0a-06b3-4b5a-8372-d5d35a620420' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fb39b0a-06b3-4b5a-8372-d5d35a620420' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be0176a0-ec07-47aa-96f6-7910874487ce' class='xr-var-data-in' type='checkbox'><label for='data-be0176a0-ec07-47aa-96f6-7910874487ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Geopotential</dd><dt><span>units :</span></dt><dd>m**2 s**-2</dd><dt><span>code :</span></dt><dd>129</dd><dt><span>table :</span></dt><dd>128</dd><dt><span>CDI_grid_type :</span></dt><dd>gaussian</dd><dt><span>CDI_grid_num_LPE :</span></dt><dd>320</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 123.72 GiB </td>\n",
       "                        <td> 290.62 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (13514, 3, 640, 1280) </td>\n",
       "                        <td> (31, 3, 640, 1280) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 444 chunks in 889 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-973be4b4-058e-44bc-b462-04882c106ea0' class='xr-section-summary-in' type='checkbox'  ><label for='section-973be4b4-058e-44bc-b462-04882c106ea0' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0d38a4b4-72bc-4784-94bc-c02207ca363c' class='xr-index-data-in' type='checkbox'/><label for='index-0d38a4b4-72bc-4784-94bc-c02207ca363c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1979-01-01&#x27;, &#x27;1979-01-02&#x27;, &#x27;1979-01-03&#x27;, &#x27;1979-01-04&#x27;,\n",
       "               &#x27;1979-01-05&#x27;, &#x27;1979-01-06&#x27;, &#x27;1979-01-07&#x27;, &#x27;1979-01-08&#x27;,\n",
       "               &#x27;1979-01-09&#x27;, &#x27;1979-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2015-12-22&#x27;, &#x27;2015-12-23&#x27;, &#x27;2015-12-24&#x27;, &#x27;2015-12-25&#x27;,\n",
       "               &#x27;2015-12-26&#x27;, &#x27;2015-12-27&#x27;, &#x27;2015-12-28&#x27;, &#x27;2015-12-29&#x27;,\n",
       "               &#x27;2015-12-30&#x27;, &#x27;2015-12-31&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=13514, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-47dddf6b-00a2-4735-a102-9135a9e076dd' class='xr-index-data-in' type='checkbox'/><label for='index-47dddf6b-00a2-4735-a102-9135a9e076dd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([      0.0,   0.28125,    0.5625,   0.84375,     1.125,   1.40625,\n",
       "          1.6875,   1.96875,      2.25,   2.53125,\n",
       "       ...\n",
       "        357.1875, 357.46875,    357.75, 358.03125,  358.3125, 358.59375,\n",
       "         358.875, 359.15625,  359.4375, 359.71875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1280))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a4608e36-8182-4a8f-9db0-aa05b7ee2ee4' class='xr-index-data-in' type='checkbox'/><label for='index-a4608e36-8182-4a8f-9db0-aa05b7ee2ee4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 89.78487690721865,  89.50620273820637,  89.22588284761157,\n",
       "        88.94519111831644,  88.66435834182293,  88.38345731224797,\n",
       "        88.10251813893724,  87.82155550711056,  87.54057742641116,\n",
       "        87.25958863483953,\n",
       "       ...\n",
       "       -87.25958863483953, -87.54057742641116, -87.82155550711056,\n",
       "       -88.10251813893724, -88.38345731224797, -88.66435834182293,\n",
       "       -88.94519111831644, -89.22588284761157, -89.50620273820637,\n",
       "       -89.78487690721865],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=640))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>plev</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c1894897-eb81-4858-a958-d1e71e4d6c28' class='xr-index-data-in' type='checkbox'/><label for='index-c1894897-eb81-4858-a958-d1e71e4d6c28' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1000.0, 5000.0, 10000.0], dtype=&#x27;float64&#x27;, name=&#x27;plev&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3b9563cb-e9a0-4968-8f25-effdeab99d74' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3b9563cb-e9a0-4968-8f25-effdeab99d74' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.10 (https://mpimet.mpg.de/cdi)</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Mon May 09 18:16:05 2022: cdo -sellevel,1000,5000,10000 /mnt/lustre02/work/bd1022/b381258/ERA5/temp.nc /mnt/lustre02/work/bd1022/b381258/ERA5/E5pl00_1D_1979-01_129.nc\n",
       "Mon May 09 18:15:52 2022: cdo -s -f nc4 -t ecmwf setgridtype,regular /pool/data/ERA5/pl00_1D/E5pl00_1D_1979-01_129 /mnt/lustre02/work/bd1022/b381258/ERA5/temp.nc</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.10 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 13514, lon: 1280, lat: 640, plev: 3)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1979-01-01 1979-01-02 ... 2015-12-31\n",
       "  * lon      (lon) float64 0.0 0.2812 0.5625 0.8438 ... 358.9 359.2 359.4 359.7\n",
       "  * lat      (lat) float64 89.78 89.51 89.23 88.95 ... -89.23 -89.51 -89.78\n",
       "  * plev     (plev) float64 1e+03 5e+03 1e+04\n",
       "Data variables:\n",
       "    Z        (time, plev, lat, lon) float32 dask.array<chunksize=(31, 3, 640, 1280), meta=np.ndarray>\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.10 (https://mpimet.mpg.d...\n",
       "    institution:  European Centre for Medium-Range Weather Forecasts\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Mon May 09 18:16:05 2022: cdo -sellevel,1000,5000,10000 /mn...\n",
       "    CDO:          Climate Data Operators version 1.9.10 (https://mpimet.mpg.d..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.open_mfdataset(\n",
    "    infiles, \n",
    "    parallel = True,\n",
    "    concat_dim = 'time',\n",
    "    combine='nested',\n",
    "    data_vars='minimal', coords='minimal', \n",
    "    #chunks = {\"time\": 10}\n",
    ")#.chunk({'time': 30})\n",
    "ds['time'] = pd.date_range('1979-01-01', '2015-12-31', freq = '1D')\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "A = 6374.0e3       # Earth radius\n",
    "DEGRAD = np.pi/180. # conversion of degrees to radians\n",
    "RADDEG = 180./np.pi # conversion of radians to degrees \n",
    "\n",
    "#optimized\n",
    "def sph_to_car(field, lons, lats, xypoints,resolution):\n",
    "    nlons = len(lons)\n",
    "    nlats = len(lats)\n",
    "    xyvals = []\n",
    "    for ilon in range(nlons): # -1s needed?\n",
    "        for ilat in range(nlats):\n",
    "            xyvals.append(field[ilat,ilon])\n",
    "\n",
    "    if resolution == 'full':       \n",
    "        cart_x_points = -1.+np.arange(nlons)/(0.5*nlons)             \n",
    "        cart_y_points = -1.+np.arange(nlons)/(0.5*nlons)\n",
    "    elif resolution == 'low':\n",
    "        cart_x_points = -1.+np.arange(50)/(0.5*50)\n",
    "        cart_y_points = -1.+np.arange(50)/(0.5*50)\n",
    "    else:\n",
    "        raise ValueError()\n",
    "    \n",
    "    cart_gridx, cart_gridy = np.meshgrid(cart_x_points,cart_y_points)\n",
    "\n",
    "    field_cart = griddata(xypoints, np.array(xyvals), (cart_gridx,cart_gridy), \\\n",
    "                        method='linear')  # Might want to change to cubic etc?\n",
    "                              \n",
    "    return field_cart, cart_x_points, cart_y_points  \n",
    "#the same\n",
    "def isolate_vortex(field_cart, edge, field_type='GPH'):\n",
    "    \"\"\"\n",
    "    Replace vortex into region (outside) equal to field on vortex edge, and \n",
    "    region (inside) with values of vortex. \n",
    "    For GPH vortex is less than surrounding, for PV it is greater. \n",
    "    \"\"\"\n",
    "    if field_type == 'GPH':\n",
    "        field_cart[np.where(field_cart > edge)] = edge\n",
    "        field_cart[np.isnan(field_cart)] = edge # set NaN regions to edge \n",
    "    elif field_type == 'PV':\n",
    "        field_cart[np.where(field_cart < edge)] = edge\n",
    "        field_cart[np.isnan(field_cart)] = edge # set NaN regions to edge\n",
    "    else:\n",
    "        raise ValueError() # maybe want more specific error type\n",
    "\n",
    "    return field_cart\n",
    "\n",
    "def moment_integrate2(vtx_field, x, y,edge):\n",
    "    \"\"\"\n",
    "    Performs moment diagnostic calculations on cartesian field\n",
    "    \"\"\"\n",
    "\n",
    "    # x and y are cartesian gridpoints; vtx_field is cartesian field\n",
    "    # edge is value on vortex edge \n",
    "\n",
    "    box_length = 2*A/len(x)\n",
    "    box_area = box_length**2\n",
    "\n",
    "    # Set up moment diagnostics\n",
    "    M00 = 0\n",
    "    M10 = 0\n",
    "    M01 = 0\n",
    "    Marea = 0\n",
    "    # Integrate over vortex\n",
    "          \n",
    "    M00 = np.sum(np.abs(vtx_field-edge)*(x[:,np.newaxis]**0)*(y[np.newaxis,:]**0))\n",
    "    M10 = np.sum(np.abs(vtx_field-edge)*(x[:,np.newaxis]**1)*(y[np.newaxis,:]**0))\n",
    "    M01 = np.sum(np.abs(vtx_field-edge)*(x[:,np.newaxis]**0)*(y[np.newaxis,:]**1))\n",
    "    Marea = np.sum(np.abs(vtx_field-edge)*(x[:,np.newaxis]**0)*(y[np.newaxis,:]**0)*box_area)\n",
    "            \n",
    "    # Calculate centroid \n",
    "    centx = M10/M00\n",
    "    centy = M01/M00\n",
    "\n",
    "    # Convert back to polar coordinates \n",
    "    R = centx**2 + centy**2\n",
    "    latcent = np.arcsin((1-R)/(1+R))*RADDEG\n",
    "    loncent = np.arctan(centx/centy)*RADDEG\n",
    "    \n",
    "    # Set up relative moment diagnostics \n",
    "    J11 = np.sum(np.abs(vtx_field-edge)*((x[:,np.newaxis]-centx)**1)*((y[np.newaxis,:]-centy)**1))\n",
    "    J20 = np.sum(np.abs(vtx_field-edge)*((x[:,np.newaxis]-centx)**2)*((y[np.newaxis,:]-centy)**0))\n",
    "    J02 = np.sum(np.abs(vtx_field-edge)*((x[:,np.newaxis]-centx)**0)*((y[np.newaxis,:]-centy)**2))\n",
    "    J22 = np.sum(np.abs(vtx_field-edge)*((x[:,np.newaxis]-centx)**2)*((y[np.newaxis,:]-centy)**2))\n",
    "    J40 = np.sum(np.abs(vtx_field-edge)*((x[:,np.newaxis]-centx)**4)*((y[np.newaxis,:]-centy)**0))\n",
    "    J04 = np.sum(np.abs(vtx_field-edge)*((x[:,np.newaxis]-centx)**0)*((y[np.newaxis,:]-centy)**4))  \n",
    "\n",
    "    \n",
    "      # Calculate angle between x-axis and major axis of ellipse                  \n",
    "    angle = 0.5*np.arctan((2*J11)/(J20-J02))*RADDEG\n",
    "    \n",
    "    # Calculate aspect ratio\n",
    "    ar = np.sqrt(abs(( (J20+J02) + np.sqrt(4*(J11**2)+(J20-J02)**2) ) / \\\n",
    "                               ( (J20+J02) - np.sqrt(4*(J11**2)+(J20-J02)**2) ))) \n",
    "    \n",
    "    objective_area = Marea/edge \n",
    "    \n",
    "    # Calculate excess kurtosis \n",
    "    kurtosis = M00 * (J40+2*J22+J04)/((J20+J02)**2) \\\n",
    "                         - (2./3.)*( (3*(ar**4)+2*(ar**2)+3) / (((ar**2)+1)**2) ) \n",
    "    \n",
    "    return angle, ar, objective_area, kurtosis, latcent, loncent \n",
    "\n",
    "def calc_moments(field, lats, lons, xypoints, hemisphere='NH', field_type='GPH', \\\n",
    "                 edge=3.02e4, resolution='full'):\n",
    "    field_cart, x, y = sph_to_car(field,lons,lats,xypoints,resolution)\n",
    "    field_vtx = isolate_vortex(field_cart, edge, field_type)\n",
    "   \n",
    "    #angle, aspect_ratio, objective_area, kurtosis, latcent, loncent = moment_integrate2(field_vtx, x, y,edge)\n",
    "        \n",
    "    #return {'aspect_ratio':aspect_ratio, 'centroid_latitude': latcent, 'centroid'}\n",
    "    values = moment_integrate2(field_vtx, x, y, edge)\n",
    "    return values\n",
    "                 \n",
    "def calc_xypoints(lons, lats):\n",
    "    DEGRAD = np.pi/180.\n",
    "    lons = lons * DEGRAD\n",
    "    lats = lats * DEGRAD\n",
    "    x = (np.cos(lons[:,np.newaxis])*np.cos(lats))/ (1. + np.sin(lats[np.newaxis,:]))               \n",
    "    y = (np.sin(lons[:,np.newaxis])*np.cos(lats[np.newaxis,:]))/(1. + np.sin(lats[np.newaxis,:]))\n",
    "    nlon_nlat = lons.shape[0]*lats.shape[0]\n",
    "    xypoints = np.stack([x.reshape(nlon_nlat),y.reshape(nlon_nlat)], axis = 1)\n",
    "    return xypoints\n",
    "                 \n",
    "def moments_fce(arr, edge=3.02e4):\n",
    "    moments = calc_moments(arr, lats, lons, xypoints, 'NH','GPH', edge)\n",
    "    return np.array(moments) #np.array([moments['aspect_ratio'], moments['centroid_latitude']])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;Z&#x27; (time: 6525, lat: 249, lon: 1280)&gt;\n",
       "dask.array&lt;truediv, shape=(6525, 249, 1280), dtype=float32, chunksize=(31, 249, 1280), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1979-01-01 1979-01-02 ... 2014-12-31\n",
       "  * lon      (lon) float64 0.0 0.2812 0.5625 0.8438 ... 358.9 359.2 359.4 359.7\n",
       "  * lat      (lat) float64 89.78 89.51 89.23 88.95 ... 20.94 20.66 20.37 20.09\n",
       "    plev     float64 1e+03</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'>'Z'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 6525</li><li><span class='xr-has-index'>lat</span>: 249</li><li><span class='xr-has-index'>lon</span>: 1280</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-875bce77-ce66-42b2-afd4-b570631f4bfb' class='xr-array-in' type='checkbox' checked><label for='section-875bce77-ce66-42b2-afd4-b570631f4bfb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(31, 249, 1280), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-8491dfa5-37e6-4aae-a36a-7dfe60b41bf8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8491dfa5-37e6-4aae-a36a-7dfe60b41bf8' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>1979-01-01 ... 2014-12-31</div><input id='attrs-f98a4a2e-7222-4eec-ad5b-b278b0235b0f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f98a4a2e-7222-4eec-ad5b-b278b0235b0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb070fa1-47c5-4ce2-9061-991db622c9dd' class='xr-var-data-in' type='checkbox'><label for='data-fb070fa1-47c5-4ce2-9061-991db622c9dd' 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([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-01-03T00:00:00.000000000&#x27;, ..., &#x27;2014-12-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-12-30T00:00:00.000000000&#x27;, &#x27;2014-12-31T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2812 0.5625 ... 359.4 359.7</div><input id='attrs-d65f4c23-2c91-4237-93b5-fcc71909fc2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d65f4c23-2c91-4237-93b5-fcc71909fc2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e1d9ce5-2908-42a8-92ab-09be69bad7f3' class='xr-var-data-in' type='checkbox'><label for='data-7e1d9ce5-2908-42a8-92ab-09be69bad7f3' 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>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.812500e-01, 5.625000e-01, ..., 3.591562e+02,\n",
       "       3.594375e+02, 3.597188e+02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.78 89.51 89.23 ... 20.37 20.09</div><input id='attrs-ef8f271f-fa69-4013-9390-c9cd3aa233ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef8f271f-fa69-4013-9390-c9cd3aa233ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfe6d829-ac15-42ce-8f81-2fd05251d1de' class='xr-var-data-in' type='checkbox'><label for='data-bfe6d829-ac15-42ce-8f81-2fd05251d1de' 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>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([89.784877, 89.506203, 89.225883, ..., 20.655731, 20.374701, 20.09367 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>plev</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+03</div><input id='attrs-e6b4e97e-c589-4fdb-a6c3-0e046a8c757e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6b4e97e-c589-4fdb-a6c3-0e046a8c757e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-291468d5-d6fb-4834-b529-2a4c198ac31a' class='xr-var-data-in' type='checkbox'><label for='data-291468d5-d6fb-4834-b529-2a4c198ac31a' 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>air_pressure</dd><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(1000.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a6cd608e-36e8-498d-9cd2-72f07e3ad27b' class='xr-section-summary-in' type='checkbox'  ><label for='section-a6cd608e-36e8-498d-9cd2-72f07e3ad27b' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-81644d45-3edf-4979-8e58-a1b69e41cc27' class='xr-index-data-in' type='checkbox'/><label for='index-81644d45-3edf-4979-8e58-a1b69e41cc27' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1979-01-01&#x27;, &#x27;1979-01-02&#x27;, &#x27;1979-01-03&#x27;, &#x27;1979-01-04&#x27;,\n",
       "               &#x27;1979-01-05&#x27;, &#x27;1979-01-06&#x27;, &#x27;1979-01-07&#x27;, &#x27;1979-01-08&#x27;,\n",
       "               &#x27;1979-01-09&#x27;, &#x27;1979-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2014-12-22&#x27;, &#x27;2014-12-23&#x27;, &#x27;2014-12-24&#x27;, &#x27;2014-12-25&#x27;,\n",
       "               &#x27;2014-12-26&#x27;, &#x27;2014-12-27&#x27;, &#x27;2014-12-28&#x27;, &#x27;2014-12-29&#x27;,\n",
       "               &#x27;2014-12-30&#x27;, &#x27;2014-12-31&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=6525, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-75aa67f0-90ea-4628-8361-3c7e605a9755' class='xr-index-data-in' type='checkbox'/><label for='index-75aa67f0-90ea-4628-8361-3c7e605a9755' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([      0.0,   0.28125,    0.5625,   0.84375,     1.125,   1.40625,\n",
       "          1.6875,   1.96875,      2.25,   2.53125,\n",
       "       ...\n",
       "        357.1875, 357.46875,    357.75, 358.03125,  358.3125, 358.59375,\n",
       "         358.875, 359.15625,  359.4375, 359.71875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1280))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-21ee92cf-e8f9-4f52-a694-2868c5f9fd98' class='xr-index-data-in' type='checkbox'/><label for='index-21ee92cf-e8f9-4f52-a694-2868c5f9fd98' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 89.78487690721865,  89.50620273820637,  89.22588284761157,\n",
       "        88.94519111831644,  88.66435834182293,  88.38345731224797,\n",
       "        88.10251813893724,  87.82155550711056,  87.54057742641116,\n",
       "        87.25958863483953,\n",
       "       ...\n",
       "       22.622943544417993,  22.34191319974931, 22.060882854677068,\n",
       "       21.779852509208496,  21.49882216335068, 21.217791817110665,\n",
       "       20.936761470495387, 20.655731123511657, 20.374700776166247,\n",
       "       20.093670428465813],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=249))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-671829ba-23a5-4688-9bdf-a5868f281253' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-671829ba-23a5-4688-9bdf-a5868f281253' 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 'Z' (time: 6525, lat: 249, lon: 1280)>\n",
       "dask.array<truediv, shape=(6525, 249, 1280), dtype=float32, chunksize=(31, 249, 1280), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1979-01-01 1979-01-02 ... 2014-12-31\n",
       "  * lon      (lon) float64 0.0 0.2812 0.5625 0.8438 ... 358.9 359.2 359.4 359.7\n",
       "  * lat      (lat) float64 89.78 89.51 89.23 88.95 ... 20.94 20.66 20.37 20.09\n",
       "    plev     float64 1e+03"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "winter_month_ls = [11,12,1,2,3,4]\n",
    "\n",
    "ds_sel = ds.sel(\n",
    "    plev = 1000,\n",
    "    lat = slice(None,20), \n",
    "    time = np.isin(\n",
    "        ds.time.dt.month, \n",
    "        winter_month_ls\n",
    "    )\n",
    ")['Z'].sel(time = slice(None,'2014'))/9.81##.persist()\n",
    "ds_sel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "ds_sel.to_netcdf('/work/bd1022/b381258/CMIP6/gh10/Z_ERA5_climatology_1979-2014.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interim ouput"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "lons = ds_sel.lon.values\n",
    "lats = ds_sel.lat.values\n",
    "xypoints = calc_xypoints(lons,lats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
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       ".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",
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       "\n",
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       "\n",
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       "\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-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
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       "  white-space: nowrap;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
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       ".xr-attrs dt:hover {\n",
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       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
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       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
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       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
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       "\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",
       ".xr-no-icon {\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 &#x27;Z&#x27; ()&gt;\n",
       "array(30243.232, dtype=float32)\n",
       "Coordinates:\n",
       "    lat      float64 60.0\n",
       "    plev     float64 1e+03</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'>'Z'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-72a1672e-d74c-49e2-811b-f928686d2dd1' class='xr-array-in' type='checkbox' checked><label for='section-72a1672e-d74c-49e2-811b-f928686d2dd1' 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>3.024e+04</span></div><div class='xr-array-data'><pre>array(30243.232, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-a54af172-f2f0-4e1a-9193-cf3c7732b543' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a54af172-f2f0-4e1a-9193-cf3c7732b543' 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>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>60.0</div><input id='attrs-fe0125fe-af6e-4e42-a8dd-d019d1664d11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe0125fe-af6e-4e42-a8dd-d019d1664d11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71fd847b-99a7-4706-b71e-383eaede4bed' class='xr-var-data-in' type='checkbox'><label for='data-71fd847b-99a7-4706-b71e-383eaede4bed' 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>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(59.99996976)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>plev</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+03</div><input id='attrs-c3060d63-db89-4ab8-b3b9-ffd0ecccc93c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3060d63-db89-4ab8-b3b9-ffd0ecccc93c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2df8dee1-76a8-4272-a952-a2a72db2a715' class='xr-var-data-in' type='checkbox'><label for='data-2df8dee1-76a8-4272-a952-a2a72db2a715' 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>air_pressure</dd><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(1000.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a2dfb260-9bbe-4f1e-bcf7-5bc7d56172fc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a2dfb260-9bbe-4f1e-bcf7-5bc7d56172fc' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-615edbda-0044-4437-83b3-efa10b535967' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-615edbda-0044-4437-83b3-efa10b535967' 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 'Z' ()>\n",
       "array(30243.232, dtype=float32)\n",
       "Coordinates:\n",
       "    lat      float64 60.0\n",
       "    plev     float64 1e+03"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = ds_sel.sel(lat = 60, method = 'nearest').mean(['lon','time']).compute()\n",
    "temp#.load() .sel(time = np.isin(reshaped_sel.time.dt.month, winter_month_ls))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_2708081/4227647566.py:1: FutureWarning: ``output_sizes`` should be given in the ``dask_gufunc_kwargs`` parameter. It will be removed as direct parameter in a future version.\n",
      "  moments_xr = xr.apply_ufunc(moments_fce, ds_sel, temp, \\\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:71: RuntimeWarning: invalid value encountered in double_scalars\n",
      "/tmp/ipykernel_2708081/2588822085.py:72: RuntimeWarning: invalid value encountered in double_scalars\n"
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       "\n",
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       ".xr-index-name div,\n",
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       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
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       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
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       "\n",
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       "  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",
       ".xr-no-icon {\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: 6525)\n",
       "Coordinates:\n",
       "  * time                (time) datetime64[ns] 1979-01-01 ... 2014-12-31\n",
       "    plev                float64 1e+03\n",
       "Data variables:\n",
       "    angle               (time) float64 -0.8142 -28.5 -41.18 ... 29.95 22.41\n",
       "    aspect_ratio        (time) float64 1.046 1.059 1.131 ... 1.172 1.497 2.009\n",
       "    objective_area      (time) float64 5.2e+11 5.051e+11 ... 3.277e+11 3.167e+11\n",
       "    kurtosis            (time) float64 0.2488 0.2303 0.2304 ... 0.2218 0.1428\n",
       "    centroid_latitude   (time) float64 80.92 80.58 80.73 ... 76.82 77.41 77.24\n",
       "    centroid_longitude  (time) float64 -19.52 -24.54 -24.14 ... -18.56 -39.82</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-991486c1-c35b-4427-a2cc-cecc4a239166' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-991486c1-c35b-4427-a2cc-cecc4a239166' 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>: 6525</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-84e3d5ef-88ea-4cad-88a9-0ffdc693f401' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84e3d5ef-88ea-4cad-88a9-0ffdc693f401' 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'>1979-01-01 ... 2014-12-31</div><input id='attrs-f9c6be36-b94e-4ddb-81ec-5ec08dc81624' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f9c6be36-b94e-4ddb-81ec-5ec08dc81624' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90c10c90-15e5-4596-bba8-19d3238e5a01' class='xr-var-data-in' type='checkbox'><label for='data-90c10c90-15e5-4596-bba8-19d3238e5a01' 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([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-01-03T00:00:00.000000000&#x27;, ..., &#x27;2014-12-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-12-30T00:00:00.000000000&#x27;, &#x27;2014-12-31T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>plev</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+03</div><input id='attrs-d30fcf9b-6c4f-4038-b6fd-82a92ca83344' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d30fcf9b-6c4f-4038-b6fd-82a92ca83344' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4686eb7-1716-441e-a3f9-c1cce81c94f1' class='xr-var-data-in' type='checkbox'><label for='data-b4686eb7-1716-441e-a3f9-c1cce81c94f1' 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(1000.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2646220c-3237-427b-81ed-3a79a83091b5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2646220c-3237-427b-81ed-3a79a83091b5' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>angle</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.8142 -28.5 ... 29.95 22.41</div><input id='attrs-56a30b74-12eb-46e2-88b1-823e46ed5d11' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-56a30b74-12eb-46e2-88b1-823e46ed5d11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70a9d6db-fe36-4773-9a92-ebec85cbaa25' class='xr-var-data-in' type='checkbox'><label for='data-70a9d6db-fe36-4773-9a92-ebec85cbaa25' 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([ -0.81423988, -28.50125359, -41.17947177, ..., -44.6140387 ,\n",
       "        29.94995749,  22.41136283])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aspect_ratio</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.046 1.059 1.131 ... 1.497 2.009</div><input id='attrs-aed3c5e0-4cfe-4704-945c-e12581e3d6e5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aed3c5e0-4cfe-4704-945c-e12581e3d6e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb2a86b7-454f-4052-9c50-7f753f5b8e63' class='xr-var-data-in' type='checkbox'><label for='data-cb2a86b7-454f-4052-9c50-7f753f5b8e63' 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([1.04631781, 1.05912988, 1.13126798, ..., 1.17216966, 1.4965672 ,\n",
       "       2.00879804])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>objective_area</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.2e+11 5.051e+11 ... 3.167e+11</div><input id='attrs-fb5b3faf-e061-43e7-8aa6-dd121ddf1f41' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb5b3faf-e061-43e7-8aa6-dd121ddf1f41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36bc9fad-03ee-4953-b0bb-2b0e63c582bc' class='xr-var-data-in' type='checkbox'><label for='data-36bc9fad-03ee-4953-b0bb-2b0e63c582bc' 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([5.20019052e+11, 5.05060600e+11, 4.83047988e+11, ...,\n",
       "       3.46524294e+11, 3.27674419e+11, 3.16662289e+11])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kurtosis</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2488 0.2303 ... 0.2218 0.1428</div><input id='attrs-214c9ed7-642b-4598-abe5-aa96c0f2a7ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-214c9ed7-642b-4598-abe5-aa96c0f2a7ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98d0134e-0953-4b64-9554-654f78019194' class='xr-var-data-in' type='checkbox'><label for='data-98d0134e-0953-4b64-9554-654f78019194' 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([0.24877894, 0.23025805, 0.23039861, ..., 0.23048831, 0.22182743,\n",
       "       0.14275782])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centroid_latitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>80.92 80.58 80.73 ... 77.41 77.24</div><input id='attrs-2d698cdc-1813-47ee-bf28-96fef10ba3da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d698cdc-1813-47ee-bf28-96fef10ba3da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-226e212c-1bb5-49ba-bfd7-3b76e52ad890' class='xr-var-data-in' type='checkbox'><label for='data-226e212c-1bb5-49ba-bfd7-3b76e52ad890' 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([80.91564662, 80.57686611, 80.73470343, ..., 76.821057  ,\n",
       "       77.41004657, 77.23828038])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centroid_longitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-19.52 -24.54 ... -18.56 -39.82</div><input id='attrs-c0d0c0f9-ba63-4b80-bae4-7217c6418fb2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c0d0c0f9-ba63-4b80-bae4-7217c6418fb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd598cba-6446-4782-8fb9-00c531ffb6a7' class='xr-var-data-in' type='checkbox'><label for='data-bd598cba-6446-4782-8fb9-00c531ffb6a7' 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([-19.51855085, -24.53899995, -24.1379703 , ...,  -3.83100932,\n",
       "       -18.56255475, -39.82389531])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-24075fb2-724f-4726-b47c-7cad6c186e81' class='xr-section-summary-in' type='checkbox'  ><label for='section-24075fb2-724f-4726-b47c-7cad6c186e81' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-33a3b9a3-392d-4fb1-b612-0503596f1a41' class='xr-index-data-in' type='checkbox'/><label for='index-33a3b9a3-392d-4fb1-b612-0503596f1a41' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1979-01-01&#x27;, &#x27;1979-01-02&#x27;, &#x27;1979-01-03&#x27;, &#x27;1979-01-04&#x27;,\n",
       "               &#x27;1979-01-05&#x27;, &#x27;1979-01-06&#x27;, &#x27;1979-01-07&#x27;, &#x27;1979-01-08&#x27;,\n",
       "               &#x27;1979-01-09&#x27;, &#x27;1979-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2014-12-22&#x27;, &#x27;2014-12-23&#x27;, &#x27;2014-12-24&#x27;, &#x27;2014-12-25&#x27;,\n",
       "               &#x27;2014-12-26&#x27;, &#x27;2014-12-27&#x27;, &#x27;2014-12-28&#x27;, &#x27;2014-12-29&#x27;,\n",
       "               &#x27;2014-12-30&#x27;, &#x27;2014-12-31&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=6525, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e355cbc7-6af8-41ab-b0a2-4095c9f9fe00' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e355cbc7-6af8-41ab-b0a2-4095c9f9fe00' 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: 6525)\n",
       "Coordinates:\n",
       "  * time                (time) datetime64[ns] 1979-01-01 ... 2014-12-31\n",
       "    plev                float64 1e+03\n",
       "Data variables:\n",
       "    angle               (time) float64 -0.8142 -28.5 -41.18 ... 29.95 22.41\n",
       "    aspect_ratio        (time) float64 1.046 1.059 1.131 ... 1.172 1.497 2.009\n",
       "    objective_area      (time) float64 5.2e+11 5.051e+11 ... 3.277e+11 3.167e+11\n",
       "    kurtosis            (time) float64 0.2488 0.2303 0.2304 ... 0.2218 0.1428\n",
       "    centroid_latitude   (time) float64 80.92 80.58 80.73 ... 76.82 77.41 77.24\n",
       "    centroid_longitude  (time) float64 -19.52 -24.54 -24.14 ... -18.56 -39.82"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "moments_xr = xr.apply_ufunc(moments_fce, ds_sel, temp, \\\n",
    "                        input_core_dims=[['lat', 'lon'], []], \\\n",
    "                        output_core_dims=[['vars']], \\\n",
    "                        output_dtypes = [float], vectorize=True, \\\n",
    "                        dask = 'parallelized',\\\n",
    "                        output_sizes = dict(vars = 6)).compute()\n",
    "\n",
    "\n",
    "moments_xr['vars'] = ['angle', 'aspect_ratio', 'objective_area', 'kurtosis', 'centroid_latitude', 'centroid_longitude']#.reset_coords()\n",
    "moments_ds = moments_xr.to_dataset(dim = 'vars') #.reset_coords('vars')\n",
    "moments_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fff427f7f40>]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = ds_sel[0].plot(transform=ccrs.PlateCarree(), robust = True,\\\n",
    "                        subplot_kws={'projection': ccrs.Orthographic(0, 90)})\n",
    "ax = p.axes\n",
    "ax.coastlines()\n",
    "#ax.add_geometries(list(shape), ccrs.Orthographic(0, 90), \n",
    "#                 facecolor=None, edgecolor='k')#, **kwargs alpha=0.8\n",
    "ax.gridlines()\n",
    "ax.plot(\n",
    "    moments_ds['centroid_longitude'][0], \n",
    "    moments_ds['centroid_latitude'][0], \n",
    "    'wx',\n",
    "    transform=ccrs.PlateCarree()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2b5a12bd24c0>]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = ds_sel[0,0].plot(transform=ccrs.PlateCarree(), robust = True,\\\n",
    "                        subplot_kws={'projection': ccrs.Orthographic(0, 90)})\n",
    "ax = p.axes\n",
    "ax.coastlines()\n",
    "#ax.add_geometries(list(shape), ccrs.Orthographic(0, 90), \n",
    "#                 facecolor=None, edgecolor='k')#, **kwargs alpha=0.8\n",
    "ax.gridlines()\n",
    "ax.plot(\n",
    "    moments_ds['centroid_longitude'][0,0], \n",
    "    moments_ds['centroid_latitude'][0,0], \n",
    "    'wx',\n",
    "    transform=ccrs.PlateCarree()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2b5a128b3df0>]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = ds_sel[0,1].plot(transform=ccrs.PlateCarree(), robust = True,\\\n",
    "                        subplot_kws={'projection': ccrs.Orthographic(0, 90)})\n",
    "ax = p.axes\n",
    "ax.coastlines()\n",
    "#ax.add_geometries(list(shape), ccrs.Orthographic(0, 90), \n",
    "#                 facecolor=None, edgecolor='k')#, **kwargs alpha=0.8\n",
    "ax.gridlines()\n",
    "ax.plot(\n",
    "    moments_ds['centroid_longitude'][0,1], \n",
    "    moments_ds['centroid_latitude'][0,1], \n",
    "    'wx',\n",
    "    transform=ccrs.PlateCarree()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fff518eaf80>]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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/pKcu5AuVx4XCGF1czDDpm7/x3592CCkATmPwO6vx4R8HMGLOOsz4eSfqPvUdlu88YVp5ZfRzMY1Ve07iu83HfP9evvME+r2+En2ni00y1Fi3v8Rxf9FG54RJ+H5LBvaeuIA/9phrDbnz/bWqaUTad8cpv+Cq6cvLjJWflBmLkAvyRwTibyFZY6FJtcMLP1tWlhT+es7FfPNN7YyZ60yYkZULANiVeR4zft4FQFunXdbxfycbD2rfmWc0Q/+3BmM+3oiDp0oU6x+2lCg23vfqFFbsPIH/fLXV1OUpK+2EWoYJLd+tN01+YTH2CE4M3QYpMw7F6arP30ezfB2cWdz2zmpkcnaeTtYZlbog/w6q2OQ1r4KiYlwz4zfc9+EGXMgrxNvL92D/SW0d3sFTF/H1n0cc56Tr4NcuzIMfb7JbBGRml3x/Vn1XvH5lw99fi3mrD+C9lftMksgZ+FuctXx6/l0IT39yPq8Qs5ft1twfOAlSZiyCty9w8qAMANe99hse+GgjNhw4bWo5R8+pKzN5hUVYvfeUqx0m/bsbs/13Nh8+ix3Hs/HzP8fx0o/bMfWH7bhq+nJN917x36V4eMGfWLTJvOUAsmI6h9Km6Ox3cviMesRvYSzU2+Wesr+Sp8Uy46/A8Fhgp3z/D6b9uAN9XtXWHzgJUmZ0wBjD+TxztlC6ZXfG9oxsQ/ML/u60fIj/WrgVg99Zjecc5DzoZemOTAz932qs2n1SUQHwr6bZyoy/srB2X4kyyut0u26/uUqsHs5Y4f9UxvDXL89etO/5Pv/t33j8878sjbcy6ZttuHfuesvKU0NLzf3T8Hza6y71BwUu3LBCyowORnywDi0m/mR6JNltAltVrULtQzl3sQA5OnxAtHxSX248DACYt/oA36zegu91xJx1WLXnFIa+qxwfwn/mZfYyk/8TEi3KacYTf3l6vbLMNjnCDanXvMPgCYxWGGN4d+U+fLHhMA6css5J/sCpi/j5n+P44Hf7lrICl5n4LDM8S8JuPhaElBkdLNtRsjvj0/XGH2bp3zkPUxkIg9l48Az+OZZlsETSKM2QcvKL0PPlpej18jLNM6ngVGZ+W63TKpuXOSdW9iH+Cp/ZipMdnL1YNnZvWEmG33JvZIS0JpudW4AxH2/Ej1szJH/Xi39TLSw2d0lZyqH4pR93mFomID9JyPGTR8snK/pZi+4idQKkzLgAns759IV8DJy9CtfO/M1EiUpR0vr3nDiPMxcLkJGVq2Ow5ruRx2CQnlyRTxSLsNIy4xRlRu+ygVuWZY3AjpD2v27P9P0dIaPMzF62B99tPob7528QLkepav5t1TuR9LtTuEwpftt1MuRajiUB/aSf7eu/7uLKJWDZWo84LoKUGYvgNcuLds3+B5cpRdE9l1OArUfOYY/OJTKlDyXACQ0ljrqD3/kDM37eKZ9fUG/G22/zPOdpAjOtLzccNiXuhLWWmdK//XVRvuXAsqM8WIlaMziRnYcuL/6K//603Xft3MUCrNp90pQdZlI5Rsp8ZGYfmugvy8rdocqGoWU5RMn3stvv6BVNlhkBFcYs/0+rIGXGoYj6JPgvISitf/6x5yT6vb4ST36xWaygSyj1n8G/fbf5GFbvPe2LOyJFyDITpzx6htiBs39XdITddvQcHvv8Lwz532odpUhj11EH/grngdP2mZj9m2o4qEkrdp7Ac9/+bfgOuzeW7saxc7l4Y+ke37Ub31iJoe+uwSfrrDmUNkKmc/K3jpmhDPhnGWqZMbbVrDI5UJ4etPQV/t2Y1lex+dBZMYEcAikzFsFtmTHZw9Kbv94uR2k2GLw9UMuRDqG7mYRF42bjwbO+CMRSHDpt3vbP4HqaOUvyH3REjw4wunk6ax6sn+Hvr8V7K/fhozUHDM03IbZcyDWvM+y3fxkf90nqNWt59zfMWil0vppiLCaVX42E5zRrI9EWNE89jcjysdomBadDyoxF2GG1VCrTO7vS6zNRqKTMBP0mUhbvDE+vEqg0tptpevbP+f2V+9Bi4k/4bJ3xjuVA0DKTw4LfieK03VVejFaA29dNBAA0SYkP+c0q656cA7D/O9h6JAtbjxq7CcH/85NS6sKZgB2IGtI7bJXMEkiZCTu0tWLvx6F3LFOafQWYOgXL4l5mMnFQs2rc/+rPowCA8V/qWwLUgv9SJI8TrdGP2Wk+CkZhtIJhhKOz3oM85ZSZYMx8p3WrVQi64lBtlhMtteA5ziCYsxfzsT3Dmp2uVkPKjEVYFg5cY/8R4X3zJnY4gctMWjt2fQ7AZmLmzNeuwdwpcWYc9JoNhff5qqX3PnepdFrKmvHzTrSa9FOAQ6miPBLX5HSZ4DZh9DsNN78qHvwtzryWGf9+q8MLP+OaGb9h6xH12GVum2CQMmMEJrzz4I7B6EBV3hmemdaG4GUl3jNFSv5t3tZsyfIVXqaZ8Uvs6jacssrksn7TNrztW6qdanmEM37ehQv5RZj243b1xHIyaNRkjR4M9SyJf7f5GN5avkc9oQvQ8hgKZCzm3si+WnaDOaVv0EqU3QKUFfSah0+ez0NjhK6TB6O1/flmeCYOo/5xrRi0ndJs+/ejIMDbK7R3hgdOXeAKgW7lYB5YlvaCT2SXbr3NyXfvOVhWonVAv5hfiKJipm7xUrTM8DUixpiQj5nUHSey8/DJWnN8vLzo+UTGfLwRANClQVW0qlXZEHnMQNP7uPQgFm/LwLajWRjXOz3kvhm/7ApJ74/WKMKRLrKBkWXGBrScHWN2EDCfA7DOMUlrnBlAbMDmvsXE9byUSuU1p/33V1uxS6MpH4ClWlzg0Qna7/OPump0sD29SrWZu/8KioqFHaW1LQkwNHvmJ7SctBh5BcofpLdf4JHm7MV8fLHhMC747ZDbfPgcOrzwCz4TiF4uVfYri42Jjqu0ld0IS89Jk2Ph6EWTz8ylNzBy3gbM/GUXlu7IDEnjv3lAqulqeZRafKvOXMjHyA/XY/E2c6I+80DKjFX4tdK2zy1RTx7UqkW6aqUG683fzAiwwT4zWsoKTsIrn5kq4HUta2hOKxUOXQkr48wEHmqpvVwz44hIZSdnKpfCrPeeW1CETlN+wY1vrBS6X0v79d8RePSs8u6nUp8Z7c//nrnr8fjnf+Ffi7b4rmVk5eLk+TyMV4kzJfVcpYrOyjX/CIngYkd/xB9pOByWM4PrcDwrVEELOJtJsNJabpv20w4s/vs4Rs4Tj/psFKTMWAVnewrpRDT21podgP20pRPZedh3UixgmlJ5/r+t3HUSR86ob1MNHtTNjAAsXb49iHay2bkF+GlbBpfyFNjRqadnjOHQaesO9vN4gOmLd6DRv3/Q5KhoJtuOnsPpC/nYekRsB4jRFtZSn5lQ5NrQhgNnAABfX9olx4PWZinqkMxDcIj+77f4WwO0FeZWZca/XwuuglSd/L/rLUfOYeoP/yDbT+HUogxrUYL8l57thnxmwgytM/zSrdkMHV74GQDw0b2dkFypPBpWN+bMIv+P4d4PtfmPhDgAc5bplDN6eFclRPvYUfM2+KKV/v3s1YiLVv+k/cvyf0dyiuCz3/6NOb/vx8gr6gtKyc9rv+4GALz4w3bMv7eTanqzLIxmB68E+AZYT6mzW2g+xoijAZs0Av9iNTy03ZnnMWre+rCLScNrFf3vTyVLgBfzSic8Wvont52gTZYZq7Bha7aSYuPxBc0rvTbs3TXoPX05V+ROpTJqJMRqzkc2f+6gebqLtAXRZRv/sOsLNx7hLktLsXN+3w8AeGfF3tL7tImnGTk5tCrnSsEb9SAXut8s1IpT0GUswworjGS5irWWXBDDnhMXAqzOWl/nsE61uWQzCg7/X27848toOt/JZT7+pMw4FKlG/duuE9h21Bizu9Lae4GGYwe0UKdqnO48uJeZTCzP/zejt8ob8cS1KqHz/igNsS+qRCndJhKUTa/PkN5AcHL4H6qo9qxyC4owcPbvmK7DGVY1zoyCLHbGBRHdKs5Vhl+GzVITVEsrF1kyvImcjxUTFcl9j5k0SCq1lodar8353sz0pzQDUmYsQu8gu//kRdzx3lpc/5qyI6LW9qe49m5QNyQyqdVbslUT6SV/K3vv82+T1SPNpTw0pvvKz3fCjO5q/ynrD6zUcu6XCHInjEvxf38excaDZ31LZFrh+d6ULDNWDT08/jpG4j+4atlZ6LWqiYjmtIG8R6Mk39+MMckdTGqs23/G9zctMxGWEez78czXWw3NPyLCGHu18U5+QQ7AnAKa6TPjL0muyhZa3sdihAIpYpwwo9MWWZoRFSO3oAjfbT6GV3/eKZaBCv51UXtWcktdy3eeUHSgDohsq/roPCH3SOVjNVYULefrVYL8g3OaYqLEjuPqFl8GYMScdabL4qbnBpAyYxm8joTByUV8AhS3Zl/6v5kN1hZnXI1Fyu3eUlIqNh0sndnMWso3+1bFCMuMwLsUff283gtKHDp9Ed1e+lW6HBX5+ry63BcQzQwi/HpIkW9lzb5TuPP9teg+bakh8igFuzTqS1ZrR1oVKTN3M830DwpX8mtIeu+ETSi+lU0D+bQfpZcoOX2fDcFlugwpM+GG5t1MSuZqjkbstPaudSDdwxPQ7hLfbj7GfY8cfwedKCzyHI3w2zHjvBtey8zUH/7BGcGjIow+lTqYAMuMiuuF1Le38zhfO9PuMxP621+HzloSFE5rH2N4LCJuK61XDpGynEWA075J59dVjgvc9WWWH5pZkDJjAE565dobtoK5WuaONXtP4dHP/sRpDRGMAUGfmWDnNl4HYJdsZzrvF40VEOuQFm48rFsOMyxzvK/AKIdzM/CvitpgKmzl8rtPLQtv+5Yr6+4PzF9+kMaS7UwKhDY6bzsMOBnepO5h1/Fs3Dt3vWEbNIIJDHRpShGICjpB1G3LTBRnxqEYMSgrLgUomatlGvFt76wGEORs6bAGr/WpyUktVx1ehzu1x6LXNwjw83vSgWiHJVdyXmERftxqf2hzo7BCN/Z/9xqPZpJl82H9g6l62+W/xwhUVMmQK16rmtDuOs5bhr27BpnZeVix6wR2Pn8td3mq8vjVz0zHgIAyNRTkpLkjWWbCmFeX7JQ9e8XnMyMQS+CAibtV7I4ALAevw52a2KHui/oP/BNRgEUtyUrK4Avf/yOW6SV2+y0BGjlIrt9/Gq8u2cl1TII/qoO8UK7K+YpsKzaaEMVbozXX6EHXyjANvJOLzEuRcM16X/7fafD7+E5k+VvyYQZec9syE1lmLIL3w+JN//Pfx/Hm8j0Y0bWu79p7K/cBAG5tnxaS3rdtUSpehUpZWtu4IctMnPc7aaagRHA9UxK0H2Lpxc66ylnvypfTH5/j0c/+0p2HFIPe+gMAUKVCNO7sUlfjXX5xZtSSGqB5bQk6viEzOxe1EkvjNYmczcRLcM6aAqxZYJpRtiJKLTMZ/4GInjSuv1zpvwHgj72nYATB+YqcpWcnZJkxgHdW7MWby/bYKsO9H67HhgNn8Pjn2gYCqfVkL2oNNOAASc0SWoO/hUPt0D4peOoz74/93PmXlqP/ydl5dIOR793qDnHvCe1OuQFn4pgkqH+u//4qMARD8MApcmq2XkKUG5u+et5lJimdQ+83Y5exwopnfirIF9JlhhlSZozipR+3K/7Oq8yLKv9q8U98+SP0OAOtaA/MZ128EV+ZfkU+7XdKsBn85+ttwvcaMS4GtxFLt5O6rKPzh2dm7Z+y18vLcC5HfteV+DKT/J2hS4neewQLE8CMKNFWyKHnKArZ4zVsMkVY4QAcWqZ6QU6yhJMyI4jZWyDNbiN6zNUBlhmjO6zgf+so4IQF21RlsaDHcVA/UiY4eT4fM0wIzqfUUuQGZDNn6qHO6cG/a8zHYBmt9JmRf+72oLQ12ywoAnAZYRdn/AherFqXNdPJS6kKmdm5ktfVOlL1Mv3P0uG8WaJ8USzpBgxuIzzZGduhOrfTDP4OvYduSmFG3x/8TuyxzKinkeyvbH6tku1ZYxtPjJM+aVuLH0leYZFqGl4CHYD15xd85EaxxDggsjnETkiZKaPo2bboj+igJhfpUi8BcUEURJNTWtzkwV8WLDNmzEJ5lDaeZyy6zV1LpO7Sf5vvM+Of987j2cLvwGgZz1zUFt/Ki54JodJuPTVmLzXef5InFpEIUo/KbXFmSJkRxGxTn9mGGW/+Zo7dSlXIKZCevYiatH1l+jts8t0KAHjii80Cd9lD6KzdOvXGZf1cAHY6TkvCsUnH+4pPZOfhk7UHTRPJy9OLtgoHsjR6MHwt5AgDZfR8DnpEX7HrhPjNMgTEmTEl0GXowyJlpgzzxx75LXJO60BLlRnb3PONThiClOnUi9zArzW6sRpmOPiG/G7nbiaN9aufVMGScsyCa+lNUFaliVHwO/aXZ8JCcx3c5dB+nIGx5So5X0uhywFYpo52bVcu5rTM9GmWbGiZboCUGVEkXvSQ/602JOtzFwvwjI6dMlrwdpIiyypa/VKULAWyHaLgLNDL+oBj7uVvNntXghVOesbvZuLY5aMxqZZkym1IWzlmwaMwmvHGg4M86xmgtSJiiZGSyujnYZUD8Pm8Quw/JX3KuW0xdzg3XdQQiFsVDFlmCE18tOaA7G9vrzA/Zo3tlhkZQiIAc96f67d85bS6+WOI5UZ/Fqajt5pWONUalVYUngmBASdYcCMalVt0UD8lswuRfzOAUPG4ZsYK2ai6tu1m4pTCiO9GybLtREiZsYjgD+vpRVulE0Len8RIvJ2i5CF/BrVhI/pdPQqJg3UZQzDibCZRgg/K9CegrTvwHZj11ITjsSj8JhHXVjGvSAPahIjyIpVE9Pt7PWinTWl+fBmKWrEOn5EPtqlpmUntd53hMKzSMVymy5AyI4qZ79kaXwjxMoyQTj4oVeC/H//8L+Tka1fu/PsvOy0zakVr6WedbHn5bddJ2d94dRm73tK8P/Zj+U7jnTV5UQyaF7LMpJxXXLT+4ySCCXHK13yf2JuV29psSDvRmYkRXYpYyAhjZdCCky3bUpAyYxE8A5PaQGfEmqxSGWqdkNYdQyITo+DZQG5BMd5aLrbs5uSZhRUOwnYREeBT5byX4PEAfx46i/98vQ13vr/WbnEUCV1mUn7pZjSJ0IMmQ9+ppM+M8KuXCVjHmZ/Us9I9QBuhzAjcE+gAbM03RctMZQQH9tFcWGL7ERhtIyVa5LFzPGcslZZpZ8wYQ9asmfIOuWD0bs02SjkKUGY0pFdSeMx4g4wBxwTO7dKSr9B9Cr/JBc0TyUsreg97lcsnmIKiYmw+fDbkOzWqHUrG8dP5gIywVogo+IFbs/nSi6Kl+3TSfIqUGQs4dPoiJv6f9t1Jag1EqjG3r5PIJZOegc+Izkbug5T6gD5bfxg7MrIFynC5xgnlHXKiy5H926SKiqMNf8udQ17BWc6AayLElBPrTnmC5lmxmykYFhQJVvsykzJPfbkFN876HTOD4sfI1ZC3KUk9K90O6VrSqCQSksGGZaYF68yPY2QkpMwIwqP53jN3HXZlip3Uq5X05Hiu9Epr72ofy4GTpdsWjY6tIZff+C+1BbPTugRmdn9gRX8T/A61Km+VY6VDtRul/PnL5ZR1dzmnUiPp36am0H2KcWaCT80W6Bsa6I31I7ibSe3df7nxMADgjaWB70aujrztUyobve3RiG9EJIuA8/CC3kfrWgmGlBHMtzI7upwKKTOC8DSWnSaf4wQInMqtw0CYrbCTRSvylhnpH4o0HhSi9TgDJ8IbG8LoSbrU8/piw2HufAJ9ZtTTj+nVUEEo7uIlOZ+rv82qYcbmspDjDISWbvUJpu1sJrH7JPOS6Zt4FRFzlpn03Q+ILQHZ4QDsNkiZcSBqHZZUW+btrowaCHmchQPv47uuVfkKtMyE91cvqpDyPPtvNx/lzp9Xqugo87uhCMEieAYO4aVbhTKCl0pE9JIbWulbVgwVT+KKZB3Evj+5OvIfbWJ8KD8tfYqa0iW0m4nzN6N6voMywQOdCCkzgjhtmDRylm5F3eS3Zusr3X+At9MZ3wp/HaMtM1KdcKRAIYERotWfg6hSlssRj8moc6tap1WWL0MwTy4HYIFSeJe/QiMAB164kKftuWv9BLRan9IS47RlGJCXmEyyaLj/jEFHovgTsMwUJIOkb5BB3c8V/11qTEYWQMqMC5HeGsnXyRk2EKp8NEoHGkhelclPq7z+szonm2PNOQ1a20OSXeKTWMkTWaLgjTMj2haVgpsFY9QSUFLFaIUyBC1lHE1BpB5escqLOigH/fvhBZs03ad1MqF1x9YVjZK0ZehH8DvRO8HRcr9aGt1xZoLeSJUKoW0yHDY/8ELKjCBmNhaRLlExboyU8qN0bpIFHwKvz4xWeK0CbsboU7KlFKyoSBHLjF+eGl6BkhKgpPRVjImSv8/i7d6AOXF/jDgZ3XuL1s9hx/HAnYPB9525qO3AR60Ke/BETK49iEwAgnPSO4kwZJlJrwxBt0v5nCXIOPkbjZNiXZEyYwGGO2pKlaGUXuIGkRneXV3qct8j1/nK+m0YONIorjOHgZ4T0lFrrBTPTjKRwdP/mIWMrFzV9KLfh5IfTHBddmaUOuHLnbujF3GXGfn3Fjywi5ThfYdam3zGucB3Jjr4ijsASyNiVeFdZjqu0l61yKCna5FTQgJ3MwXfE6rUj1Zyqg9TSJmxAAcprz6MOjJB9MOVG3jlHYC14ZTjDKyAd2DLLyxGv9d/w/zV0vEjJJ+XyADCmV44doqCbME/rd1/2ve3FgXLC8+hr8IO2Qr1MCLOjO8O4Y/V5Nu0BgYU+J6DlXG1PuH1X3cp/m721uyRV9RXvSdUhtAHlhBbTnHyaZXlxkpImRFk38kLmtNa4YiquGwkmV4+L1mFQmRWyFmGoQ7ACg/ebPOo3nVxLfBWoaiYYeuRLMPKl4N3wDVBlwlpRyJl7D1xHh+t0R44zIx6GHFqtm+ZSVAr2cvR1/mj9VsuLNIWdkHIMsOZ/qzKEpohZzMp/BYjs7NPyTIjh9J3aMUOQqsJvxpZxN9H5QcFs+H9oLSepSImi9r6sNx9fNe1EuAArJDObKON2sBhRPl7TvANMmqDrdSsVchPgXNUF3XOVXqGwT9FS52ToUIWZ2waEavJodMX8eGq/bK/h+z0EfhyvfeItrm9nO3Mi/bgelrTKfhByfwU/E50H82kZZlJ1QGYXwj/O5Ztz9R0j9J3NW1QK24ZnA4pM4LoDUSliI7ZlxSSn46QlcW4Ost9zvodgP3KcPAqk9T74h0L560+wJVebbCVGlQ0xioMgH9MF42Xo31wmzqwJXf+3LGbuEsArnplOd5esVc+z+AlGIEeu9Qyw5fei5ZvUiqF0Tv2RL5nkbooymBAnURy8Bf7NY3RrCMUxqhGnBHj3YCtykxhYSH+/e9/o169eoiNjUX9+vXx7LPPotivB2WMYdKkSUhNTUVsbCx69uyJbdu0n3NkFuXLRdpWttQHpaRoSDsA86UHxCJqyvrGcPrMiNjwnbybSep96RVXzSKipn9LPS+RzptXzxc9WoPneaVXD+y8tTQnqTR5hfLancgyU77KEgvvqdmSeVz6v9aDV0N3AIlh9OcnoogEvy8rLDNqT0xsCZp/yVypqTjRj1MvtiozL730Et566y3MmjUL//zzD6ZNm4b//ve/eP31131ppk2bhunTp2PWrFlYt24dUlJS0KdPH2Rn8x88aCT392hga/nBKFtmjFlmErmH97vVO3PyHxusUGXMCJClldCdGso1VhsIeZ+XXHm8Fjzh+CyKv+n3mZHit10nsfeE9PEkHo8H9arpOwdJDaFq6K274DdptDIjkl+wAqeWhdqEILh/OnsxH2M+3hiURqUQAQV9wbpDKpmGovRdGXYyuV/jKtDo+2QWtiozf/zxB/r374/rr78edevWxaBBg9C3b1+sX78eQElnOWPGDDz99NMYOHAgWrRogblz5+LixYv4+OOP7RQdVRWCZ+lFbTCQ3ELLm15HvAojMMpnJnhAVYqUaQbHzknvjFErW9LKxalO8EbnVfWZkeiFleohtzzCfU6YsM+M9mWm4I5dy8GTctm/o7AslFqZ73wtXoLrMejNVar36F0eFt3AIDoxkQ/noP+Dfvzzv3TdHyxBXmFxyFZ/s+PMaEXprRvpMuBl8bbjhufJg63KTLdu3fDLL79g586dAIC//voLK1euxHXXXQcA2LdvHzIyMtC3b1/fPTExMejRowdWrVL/iM2EpynEKwT3Mgr+gyblkfvYpDoZoz9L+dm+NEodrRVbs2VjtqjcJ1UfXnH5dw0J+MwoyPTiD9slr/PKZUXk3OAitpnkwG/GIBGQf1D26w+c4b6HF9HlWqO/PqW2uGDdIc27ovQQ/CjElt6NkweQ7xuFQx4IksNxvIgZmD/KKvDkk0/i3LlzaNKkCSIjI1FUVIQXXngBQ4YMAQBkZGQAAJKTkwPuS05OxoED0s6PeXl5yMvL8/07K8ukToujoVSKLcd10rSewFhSSFtm+MsQQdYCw3mcgRzBZmSRLYxOgVfe4HdYWMyw9cg5NKtRSdH5T758aTdOOzHKX8PIjl3RF8Hk78rI8AjyZQTHZuEvE4B4fBqZTkDd4hFKnapxOMBxWKLaszp5Pg8Nq1f0Sx96h4icpb8Z970pdQGGLTP55WN3XC9bLTOffvop5s+fj48//hgbN27E3Llz8fLLL2Pu3LkB6YI/LsaY7OA9depUJCQk+P5LS0szRXY3OVBJ+swIBJoxwprgRW6XDG92wbOBwGUm5W7DaVxWO1Hyulw9gnfUvfjDdvR7fSVmL9O22yG0HG3X1OA9oVpE8QJUtuoGvV8zNx/6Y/QRE8EIOQDzWvCC/i2uy9i/m0lqKVbPxoD3Vu4L+LdUuzJja7YIvBNcEZbu8NsmbnOXaqsy88QTT+Cpp57C4MGD0bJlS9xxxx145JFHMHXqVABASkoKgFILjZfMzMwQa42XCRMm4Ny5c77/Dh3id5zSgpPOpABEfGYMLoQTuY6OV7vfduRc0P3Sf1uNSIclt31YdneZTD5vLZf36VDCqJkVvwOwWDk8O52M/V4VHCuNLEYCXRGABQn+xrTy266TQvelVZE+HVvtm5Ksp8EvRIvFTzT2ltEotRWjvvXcAr9Zqc1joq3KzMWLFxERNI2LjIz0bc2uV68eUlJSsGTJEt/v+fn5WL58Obp06SKZZ0xMDCpVqhTwnxmYOQNTy1myHSrcJNVwxXQZKZ8ZY3c68GwLl75fq2XGGOSKaFWrsvKNEvVJlDj9FpDv/OTaoGhHJWmZEciH339LaQapZH2RJ/g3sy0mViH03ep0yF646YhAqcC3gmdgRcmY9kQmJ9LKhnx6tWelJbK0nlOzpa2jKkqcjNBKh8TavSRkBrYqMzfccANeeOEFfPfdd9i/fz8WLVqE6dOnY8CAAQBKXtK4ceMwZcoULFq0CFu3bsVdd92FuLg4DB061E7RHYfigCCVnvP4g5J7+GRSQq4MXgUkOLX/7XZ+rmqHcvJYL7JypEOsy+VwMV/MEc9tHRxPW7HaGdIsxHxmzK+7nRMHL1J9muQykB4ZNJSpGv2bUwJRCzNvLLTx1zQWK8gh2KrMvP766xg0aBBGjx6Npk2b4vHHH8eoUaPw3HPP+dKMHz8e48aNw+jRo9G+fXscOXIEixcvRny8eyIYFnKGUVWdHUj6wCikl1pm4pJI/h7hPkzWMZgzm6AbrN6abQXTftoh/YPJJnTRIvgdTgUKgYplJngGLVaEJErybj581sCSpMq2wAPYZv7vL2lLkIiybbQiF9yupJQlo5e3eccPL+UULDNS7Wh0T3eftG3rbqb4+HjMmDEDM2bMkE3j8XgwadIkTJo0yTK5jOZ4Vp56Ij+EwnYrZhh6ye6ZqlE+M8HYHLfJh9rj5Xn8u45bEyBS6p3UTIzlzkevw6lWFM31Qf82dDeTwm9nVA4qtAMr4v4YuYy3eu9pyetqPYOUBNJbp5lMavW2WLViTFD+Ag7GHO0WUI/cLCezUl0qRNsXwd4s6GwmA7msjvRuFCvgjgDMaclRu8coeJ1dg+umxdydk1+E++dvVE2nByNnhHKxRIx+HVKP7rG+Fpie+TfWqf5qhAOwiFpt1a4pHqywUFqzzMRfhtGTtp6Nk4LyD02jJuahMzlcZRYUCT5bmbrf2bkOKseZEPS1LO9mCjeM+mw61a+q+Lv0coD52/Ckyjh4WnsMB3/kZOI10QbnsytTOtS8P99sPspXiACqlhlDyjB/5EyILWd6GaKKH8/OeyU/It5BUumx223xNAIrfGxEULPaaj28VSkXuW+qenwMHuvTCI2DDmiUet9qcs75fZ/i7yH5FTPERPEP1XJv8fGrzZmgFJXlODOENKkJ/CHRlfpQyd1MnJYcuXt+1XgcfWgZymU3qxG4C03rzp0tGraRzvx5l7qAZRC7+iJTfGaCfs1XOCDSyHrHl7d15V4aKywz5hchFvNIonEd4bSMAMDNl9XCQ1elI13DadNG72ZKrBCNHc9fK3sP70GT8eXlJyjdGlaTF04Fu30USZlxIOoOwBL3cKe3Pl6FP7Kzl0uXgwPCyZUd3Lk0T1Xfin/kLH9nJofdH7AT4XYAFiyHZ1Col2TuAZBejDTf39bemICfVp0FZDZqSoLUhEeqL317xR6DJJK3xCkdraD3fSRXilFPBLE+fu7dHfH6kLbc9wH274YkZcZAeGeYP/99XGbGaLQHfug1obV9A03o8stMJT8Eyyf3mdSsHIvP7+/s+3ecCY5tIqfBqjsA63+WRq9oGNYVcTuc8i+R9pm+HFfPWCF/X9C/Kyqcj8Zbb6uWYYyy8nC3NYdumBLxmTHKGV32uswPV0xbKqvQCG5Owr+vbwoAaK0Ww+oSIv1DZIQHVWTiXalhVWRjOUiZsZF7P1yPlxeHbrvlDdykdhPvcQaWOAyqlB0c4r5QYVrWoW4VX1yXfFFnOQVEDiW0YsBzpmcDPyL1yMzm2yGohOhZQGZjlLJqhd+TJctMAveIOOjy5S/9ko6ey8Wxc7mSv/Ecw+FP7KWJmtruJi+izUdru/tsfWB0fa1ymQUpMzbzxYbDIdcMj+1hkGXG0MFTdgAp+X9wJ1Gs8qF4YypYcXKuFozcmm0Vds2sRJ6FWvuVqsv9PRpIp5XJQ67NOfHdGYlTq6fWB0hhdl2U2qFRmxyC8/slyE9RbuIk2k61OrH/HTTJs1mXIWXGSIyajYssQfCeG2l0GbyoOQCHLjMpfylRkSVNudAEy0xtmbNiAD5n6TID5ysQ+W7UOlwpERolV5S4avygYyf926TaLYJpWHGcgVxTlHeyFfnQxRrWUs7NFqLjkVZl5rddJwL+bbclk5QZB6LWlHgdenkbmVxqI5dO1M5mCu4k1NaZy13SfkT8W9Qww0xvRDwSo7dm29YViVgJVS0zodfkOmm5qL1r9p7ilMpY65bI++3VuLph5RtB8ICnBxHHWSdulVdSypSaTz5n3yaqXGjtmwIOmYT9myFImXEgYhE45X8zLM6MoZYZaaGYjAOw2odZ7pJlhveD10LwziotqCt+zutkDYPbAVigCFXLjPZwBC/9uF3y+itLdkqXrSya6zFSSb7jvbVC93205kDINaF+TDLOjL2jrqiSIfde5F6XaC21vv9gHxmKMxNOGOSHojYQ8p6hY1QTs6IT934fwQqE2ndi5jKTCFZMCI0uwrY4Mwq/yYkkpV+mV/dbRpL0kZeLVaQggAThcgK3k3l60daQa2IRgI2QxhqrtLoM1pSj9ZkFKy8i8XuMhJQZB2K8ZYZzmcnGE3BLfWaClplULTOXHIA17HtsWF3ad0KJh69K50qv/gr5nvHpC/mhZYTJmKqoHMi8d6nlA/9LUnfJddJ2bymVw67oCU5tViI+M9xKiAVNQdwyw5de1AKldWkuONW81aHWNCshZcZALOsEOGadgEOXmVR8ZviVmUvLTAqRXr1ER/I3+zs61+FKb7SisVrAf4MfZw7qUoj4Qsjd455ahw9ZufwHcoooARGcn/opiUmDU+Bt8VLK36Qbmqnep/Xbcpo/EikzDsTuNiLXZ+w7KXYOkxRyHVPp1uzA63tOXFDML8pnmVHv8Hg7OAAoX046GJ9DJ/WuwgwLBM9SrJHvcP8p476RcGbTwbPc94jFmeFrXct3SjssG9knW7brR6Kcu7rWU71Na11FfAnNhJQZA8nVYBWwA6O+nX+O8QeP40d6mUmNchHafWasOcqB3++JPzeDdzPZ5TNjxm4mjkCRjtVHhXzw9LcJoRPGrQi0aVAhdk9AlI/hME440Zy09r2kzIQxfx06a0k5Uh11jsKpwEbNBKzoA7wuL7xOll7LTIEGnxkzBk8jyuDNz24LnlGIDMCHTis7G3Id4WHgqdki/lhOw6nRq0WOAbBzKUTOZ8Xo3Uyy5Ys6GmssJoqUGcIMZi3dLfubXJt+6/bLuMowctYg90HLBc1Tw+szo0VEoYCBnN2vWuqcAnnlU2uOgzsYcxChF7smrEaNN/7vSNoB2KDdTApvt5yAP5ahOGt8MRQRh9Z1+09L5MOPkY/V6N1Mct+PeJwZbbWtmRgrlL9ZkDLjQnjbqJwS0r5uIlc+RgakU4u6ymvC9O5m0oLQUQ6csRzUFKbZS/lO7pXKbiznDis3IqpgSbV5+XfozIUmqw60dAsiu5kuKlis7YLntHd/uHczmbw1+6WbW4kVYBKkzNiMUbPSZ/rJe6nLR/Tlw8iAdHIyye1mUiOKw6tXKeduDatxlSvK/lPKDs1aMNoK4CafGTV4IgBr2QGnFSMt70Y+lzeGtjMuMwMQqZthy+U2667i9eB7aGZvAU+tTJYZQidSTTS+fJR8em5LjvT1gkIDndPklpm8EYA5R4VIGcuM9AxdaZnAmBFELRfejiac5+hWWSDkXvvO4+dNL8Mq5IpXOl8sJA+nNjY7lRADH4poNZLiow2TQQm3BoUkZSZMUG6Acv4pfCQnlOe8Qx5Zy8yl//POcItkdjEt2xG61dKKYGQiW4eV8+MT4OT5PL4CYP5yS/X4GMnr/lUz4xys0nIMUlRd2NfzyGxF9UQUWOM2Mjj3OAOl0BL3dKsveV0+srW5PjNOg5QZ21FuOFc20XZwnNLgL/d9qEXhDSbaIKuFEqVnM/GVVbea9MzzV4mTZkU+VrnOV87CZLS1gTc3LcqM1ZsR5BQVfzGeu6lFwG88/fE1LVIU7zMutL3Sb8Y9VHcOKdoQ2v5tvBghvH0H36YIEbYfy5b9beYvu2R/i4uWjnUlh9k+M8G0SassdqNBkDLjcHpJKDM8zo0l6aWvly/H9/r9DxZLkplla0VOXG8RvJ1dJZmBUlIxc8DWbCdMfoJndHLtpFWtBMvkSKkkbv0b06uh72+p927FjNPu92rXEgHvuCm0NdsCbaZBkvTWeiOfKv9ORjHEPXMCa3tGY1Rku9s+KTMOR6uWrNRRy1la4suXw+tD2mqWxX8lR2+7VQtgxjvwRHKkF9rNxJlezcTLv8zEKYCBmB2nyIiq1awci+ioCFS4NHvlPYzVKBygo7qCpjUqcd9jWeRcgzD6aAS5PsCg8Emy5ZzPKxTLyGJImXEgLEBpCG2qvG1UqVHf0DpVc/piv6mR3sG1Rap0Z+btsHiUE0Dh3B3JQU1gmYlTngKVSMTcM1kTRsngLOVkEglWJoXskpySVVHDk0qKj8Evj/W4lJfn0n1S5RjzEBUtBAa+KNsUWJVypRQRXlFjOZdMABi3zmTg9mclXldYMhKBt98S9pkRXGe6v0cDofuMgpQZi7m1fS3VNP4xVqKjtL0iRcuMQZ2A/zKTXpO97LY+79ZszpYpO2uRuC4UAZgzvdrp3fzHGRg/sml9DmaPIXqVjBoJ5X1nZ3lzklKcjPKZUVKw7LbMWFF+LYlgaf5P5K4udVXzEOk/rLDMyEkl0kTllpO09ul6ZRANcirahq5unqKeyETk9/MSpqAlGFxq5Vjc1aUu4stHIUaw4ftjlPe+f2eiV5mRtQJcKoN3gONJL+QAzHmL+hlR3NqM4ZQoSKVyGBXhea/coaAC2W89on4eWMC798gXJTrjDMZlqx3c6K1fk5R41TQi5/pYcSyLkT5HcuKKNkNeRUvcATjIZ+ZiPtI4tvbbBVlmLCa4ocg1xEk3NsdjfRtL/m5U3BgvwUtNaooGoN8c+6fMqbmlQfP48uPaeirkAMx3k5bTu21HY5WMis1n1hPxSPxtl88Mb7udNkg+iqrYcij3LSEUqbRdtf5Eiwxqzyk+JnSeHS5KpLCVldcyI1ZKyLuZsHCLYE7WQsqMxfBaBbQ2fKWGq9YJtKqpbbdKkYE+M3/sPSV5XdRnRnbWYpPhv5mKgyPvNkY7ly+M2gWkxfIjUpR/56ukdBo16Vaqh1L5J7JDt8vbvSwlRetalSWva1XUtHxzapMDqZ+F/GwMQqQfWbPvtOQBwKLt0CqfmeB3s+2ounXUCZAyYzG85lVJy4yE6qLUwaotMwWXIZfXw70bAQAGtqtp2jZXb8m8lhA5eaTOk7Ji+6rauniTFL7dHNzLbgKdrxNmviJvRvrdS7oAC+SuLWctHM/KDbmm9B1Z4QAcWy5UQUiIK4eZg9uEXO/XymvBVTPNaCt7TC95h1Gp9j5zcFts/E8fbZkroKiM6s49kEc/+1O1DK3Rma06m4mnnNRLgVQ71asiVpiBkDJjMdzxSjSmU9LC1c3C2kq5sXUq/phwJV4e1Fq3MjOwbU3J60v+Pg5AwIIlk3zBukOhablyNgez2gEPUo6cZpa9/9RFQ09e9xLgMuP1mTFRMVP61pSeldR9Ip+RkqJslCVSKm6Tciyr0rrtO6n/3DF5PxD9L/arP4+qLqUZxQ9bM0Ku+fdtn468HP/3YFdNefFan8WXmbS3oU9HdcaDvRpilgPO/iJlxmK4l0+kTTOhlxRarlqj5pGoRkIsIiI8aJys7uSnREWJs6QK/awoleP4wtrLfYBSZy1ZHflWiqGdattS7vhrGgMomQ02qh74DuUseEZ2+yt2nVT8Xa8/k89nhj8bQzBKCVe8h/8W7vKlLnvrpqZP7NeozCjlI9dPVpDwpRHhiw2hkxwAqFFZOmijWVayTvWronKcOWcuiSp+PP1jWpU4PH51Y91BVI2AlBmLMWKZSQqliYZaow5ZZtJQ3uNXN9aQSh4pkaIiI/Dzoz3w6m2t0adZcsBvl9VJFCqnhYQ/kFVnj/RqnAQAeOjKhgHXn7i6MWok8J04KydyKud5WQ/0aICVT/bC8id6am5bTTmXxJTIOJdjWF5epHxmzLTMKOat8EylZtBKbVHuN7vizygVK7J0q/QY5QLOlZdYFhNhr4zCFRNlvl+O1EROC7zPWNhnxhG2a35ImdGBFbtiDFlmUrlXZHCvdOmDFNliCchbARpWr4gBbWuFWFR4FTIvm2R2TVnB+3d1wPbnrkG1ioGzlmECVhm5DmbpEz3x1u3aTbwejwe1EuPg8XgkfKWk7/nXdU0156+GWv+awqnkAYHPptQyY542I6jLcCP3bSkNNoY5OUvm7ZH9zYzlw3DlnTvao2H1inj/rvZc98kuM8n8ILqS5nGpVkBxZnQQ4fGgiPMj5t3mKqX88HYmooqA8k0l/7MqxLiRCpmoxDe0TsXuzPP455g2736Px4Py5SIDnu/iR64QMivLVS8mKhKJgmZqrTOwSrHGdRNyz37R6C44l1OAmnLBFIPo3yYVX/95FEBggEUrfGa2H8tCdm4B4suHLoXyLzMpWWb4rovAk5XdZ+/YiZFVb1krAT8/2oNfBoscgOnU7DJIlECvEhJnRiW91hIUfWY4Nx9o+Qi8A6HoB2N0rByeN6FkTVIaXF4f0haLRncJlEtDeUZ0DUab+KUylXvGVgQSa1s7ET0bazshHihRZrwEflP87bJ7ejXtiQFsPHgWa/edlvxN6VFJ/abUhYgE+TNzGHKCr1lZhnf5x+oIwHZDyowOyglEEzPCQVCqjSr6zKiWIdBp6mzxRk+c5Z5ro+TQU3D/fb38sokZViwpB1UjkRpktMhpR6dllF4k17GL5N+2tpg/lhRGxpGSc4IVWT4w4rmXTmCUBdD6DGhlihMOZ21Ax9lMZJkpe0RJ7JRRwzwHYD1bszkEuoR/g7divVxdIZO+PqJrvZBrdapWEJYjePDR8uiktg4LFKwpf64sg2501djiJ7pU5yvtMyNTQ4H2K7sLiPNdKKUX9UeTIj6Gb3egFJrPS9Motpl+TUbjhPGdVwZhnxnJCbTz3xUpMzoQ0WCD+ye1LKR9ZiSC5inkoWpt0Hx+sv89pYh8NNzfhqrFRPpB8i4FqlmpgrPTtswUugzCi7KJWaKNOLTvMUou/xoH7GYSKMfIR8Uf7FHpN+kfFZUAmfxqV5UOzMYnr7wDMGE+vD2HlgM/pZBqd244nUVYmZk3bx66du2K1NRUHDhwAAAwY8YMfP3114YJF47wroNLpV61W+IoAF27mbhEAhCohIlp7Xznv2hSGiR9EoxdZ9arwIpbUbTl70XLrDfUV8oFPZYE/u9E+fnKKAciyzZyy1wCOckh913a9ZoM95lRqEdHB0SUdRq8r130cEipb8iqjR56EFJm3nzzTTz66KO47rrrcPbsWRQVlZw/UblyZcyYMcNI+RyNyLdtxG6HI2dDY3UoNTW1hqh1i27APX61t6KZa5NJ4prBHXBwftzLTIZK481fzDLjBNO5KB4ZBUbEMd3IjtrIA1LllpmsGFcqSgSnM3qnmFI2TnM2tuIIFDVY6MksJRgsmrRlJkyVmddffx3/+9//8PTTTyMysjTIUPv27bFliztO2LSLGJUze4KRaqd/7Am1zCi1tW/+OqpchogDsF81RNo5924mDSqTlCk0VeNWXy/qB+CJzL2133NTm1TJ6xfyChXyD0VE+bNEKTWhFCnFhqccIYlkXinvNnnFoHkyI/rEG5spiGXMyNZeIkilt99ZvvNEyG8ifUCxwtqF6YHbFOT9r8JJ5nZilULhNEVSK0LKzL59+9C2bduQ6zExMbhwQf+5HOFMFOcOKKm+rny50DyUlgi+3HBEuQwuiULvEfnIrFL0W9UKjQBsOQHLTMpP+/kBLSWvKz0v7Q6wQWLZMNt84bt/DMnHUJ8ZA9viU9c1Qad6VTCia11N6ZXeQIVo6fg+wzrVQe+myZK/GYXH48GdnesEXFPym/DvA4Lb46nzoaeFA8pKZDnOSR83Cg/+lvZp2Db5anPLF8Co6MdqiFp67UaoxdSrVw9//vlnyPUffvgBzZrJzxrCDa1jgf8JtLzDh9QMRc9uHC1o80+xdiC0KgCUGX4jAT4dKmnlHJZ545cILctZ0GFdzC8yJB+ppaWS6/ztUsRaJFdK9fjy+HRUZ9zYWtrCFpKPgrjXt6oh+1tyJWPOwlF6WmcuFgT8W2nS4v9buaA2/NRCaWu9Un7p1UNDKhiJmuUn+AwoB6wyITZaWplx6/EDRiOkzDzxxBMYM2YMPv30UzDGsHbtWrzwwgv417/+hSeeeMJoGV1P89TSs21Cg+apLWuEXpM67dhqxVm3ZYZTYiuOszeLgL1MgvKYMTNygh+AEUhtGeZ5XHLPdvEjVwjJI1e+VDlyynZkhEcxjpUV5zb9X9DydG6BvCLqX7dguf86dFb1nmAe6dNIVT4tKMWUciNSy39ECUJxykeMGIHCwkKMHz8eFy9exNChQ1GzZk3MnDkTgwcPNlrGMKC0h+FdjzwtceCaVDh8pdNkzfBT8O9MR83bgHn3dOK6X21wDv5ZtAZmB4Di3WUloryqIbnMpEGw4LHSVXE/As5jkqp/aF38JxVqaQGgUXI8bmydGjKoA+qKYJHWvax+2VSIjsSFS5YrtX5CpJ1cXr8KVu8NilzMkU9BkbZYVgPa1cSn60tPpZaTVeq5D7qsFm5onSrpgCyCUfk4xfph1xcatstMAHDffffhwIEDyMzMREZGBg4dOoR77rnHSNlcgLYG7v8x8w6uv/xzPORafwkn0Zva1OTKVwnenTC/7TppWNlyMrg5NLfZCpXoVkojg7L5c2v7WgCADnWtmUUu8ftGSh2AQ5HzOVB6VP7PthLHaccJsdqC1AX6/igraP7IWmYU7rmmeYommeRQ+gb9A4gGn7IuVxep3K5vVQM9GiUJyceDW42SW46cs1sEx6Lby6patWqoXl37mSrhhNYPQs8yQ/COhn6takian6MVHOacqFVbJRK3zwxn/txbs9Vm3CKRSqR8ZjTcF/xsjGonz9/UEp/f3xnP9GtuTIYS+IueX1gccp1va7ZA+Sq/N0qOD/F5kXLc938H/t+6GYOt3mVFpcfk7X+a1aiEhLhARS4jK1fyHit258iVsO2otsNivThF+fFv616skM0NVlvNU422bdtq/hg2btwoLJCb0NqGAjos7gihQT42FrRcbTthtOXVrnZlbDx4NrQMi74Nsx+XVZ+4ckwObcssWu4zguioCHSoWwXbM/gGDCMoVQZ5tmYrbREW577u9fHd5mN+5UjkH2C1lb4uhci70/u6lZqUd1ltVI/6huRnFHJlrJDYXu4GaiXG4vCZ0DhjBIcyc9NNN/n+zs3NxezZs9GsWTN07twZALB69Wps27YNo0ePNlxItxPQYXHawoI/RpH+qG3tygJ3KaO1M22QVFFambHMAdj+KZX2CLViSGWp5XEFLzMZPbaYubwml7OaZaZJSjy2Z2QHXBOKAKyhasEKpVQ5HkhPdER9q5Tau963oaQgz7unEwqLiiXLr58kvftSyiJmdIsxyqJgfy9SAm+cMqNwonU/GM3KzMSJE31/33vvvRg7diyee+65kDSHDh0KvrXMo+asqESfZtXx5cbDpfcLfFU3GuhP45PD8ByVscrMyfvR8i8zGf/kRLdmm+7LY2ruymXKVf+yOokhyozmvE1YsoyQaRuqDsBckhiTj1p9eGNoWX18hpyV2O1Y8Z25QJcR85n5/PPPMXz48JDrt99+O7788kvdQrkFzT4zHObjYBpWj+e7wQC0OQDrtVmr/aw+q3UCmnYzBSizavlJ56jc8YvZZkJ2Mxn8jI3SlSTrLmCZAIwL1a5lUhJ6vlhoOf5X/BUYNUWT94w3AIiJ0hd0zej2IbXjy2hl31/mJjWkd7NpwQEGXgDWWZpv0BgnyUkIKTOxsbFYuXJlyPWVK1eifPnyuoUqS/C2TaGmbIImoFWOIpmyeSUyU5dpbXKUYJ53HKnzIEsvmiwzJsctN7PjVVMm5Oov5cejvJtJzxKhukL+z7FSeQLyF7TMSDmIetE7QBltSdGjXGjFX2KH6COuIDjo4xmJECFOQ0iZGTduHB544AE8+OCDmD9/PubPn48HH3wQY8aMwSOPPGK0jK7Hf9Dg3Q4bcrChUIRT49EqxrirGqFcJL/MaYmBJ76KdKRf3N9ZU7r/9DM3ajWPY2dUZASaSnTyinYZSWuDulzXtwzcbWP0Up5RgwfPq/ctM8ncdOxc6M4aoQjABlXO/935i6yWvVw/oFQXqQiyPP2J0f3I8M518NS1TQLlEcwrXi6ejN9D1fPOHBNnRqJdmzFpCC5n4UblI3GcgJAy89RTT+HDDz/Epk2bMHbsWIwdOxabNm3CBx98gKeeespoGR2L1gbun0ouXL32MvlROtBNCiOXmWpXjcPG//SRKEO5kAoxUVj3dG+8c8dlmsoBgIZ+IdBb1kxA+7pVNN3nv63dHAsQn8/Uze34fJwkF5k0vMRWtSpzlcOLaCf7QM8GGvKW+6Hkf3K1l7pPaXeInq81NFaS9vzVrGZy9TfTD8poA2+5yAjc36MBUirpt+Z/N7a75PVAy4wzFBI3ULtq0GTSBV4zwuERb731Vtx6661GyhK2+PcvkZzbmUI+P4Hv0e5mKGWN0iJTUnyML/iYlvRt0ypjd+Z5TTJ5PKWds9mdnB6fKS1IHzTJj+E+Mxbf53+vXF2k3vWyHfzbdLXIqGUO4f/qeJZE5HQdI5tXi5qVsPVI6TJY1YrRpmwL1vtN1E+qEDL4eqnrd46dLsuMQ/Qgq3xmmqSYvwRoNPbs8woTtAfNK00YFbTkwts08wrk18TlcKrzrBZ8Hy/nwMBDerK5h9rxHDQpguhuJh5E/IqMshJIxmeRSettL3IzSW6RPJJ/aiJka7ZKI/ZPrvbsrLAyDO9cN+DfT1zdGFc1qY63bm9naDl6Qxco3dI9vRqe7d8cn43qTHYZTvo2M/dkdqMRUmYiIiIQGRkp+x8RiP8HyrvMFKyJf7flmExKefidbS2IzKmxCA5dRriDL18uEi8ObCl0rxY8sv/QDq9yIvIOFQPzCSyP2jGb9RUpUxk9ClbAt6ghm2AR1JeZtL8z43x2FH4L+ndiXDTeu6sDrmkhf5q30TJI8dLNLdE9vZrGvD0Y3rkuOtar4oiYU2YQnrXiR0iZWbRoERYuXOj779NPP8VTTz2FGjVq4J133tGcT926deHxeEL+GzNmDICSmc2kSZOQmpqK2NhY9OzZE9u2bRMR2Vb8G5tZ5+EoYXU8h2AkDwLUfO+l9Foi2vq1ZvVjAwLx+s2Y8azM7kMlFQ2D15msbELBz4vH6TEuOhIVoiNllS+ndfyyDsBq7VfWAZizfI4yWtY0Z9dfoI6o/oZu61Cb+2BbvYSrIqSE26os5DPTv3//kGuDBg1C8+bN8emnn2o+cHLdunUoKio9Vn7r1q3o06cPbrnlFgDAtGnTMH36dHzwwQdo1KgRnn/+efTp0wc7duxAfLz18VeC0fqu/T+EKN4QwAbAPat30LIU3welPbHH32nGZHgiu4oglaPIeUNKiGRnZmcol/fXD3ZTvG//qQvCZforVSJxZqSQf0Zqy0zGoGSpCrHMVIg2qFR5GXYez0Y3jVYXXtw2OBN8GDqydurUCT///LPm9ElJSUhJSfH99+2336JBgwbo0aMHGGOYMWMGnn76aQwcOBAtWrTA3LlzcfHiRXz88cdGii2MVm090AGYc5mJK7U0vEsOUsGs9CDt08G5w0pDGhuMXtow2QFY8vkavMx0W/s0AECbtMqa8zPTZ0YU3qatR/lsUVPdibK/X3Runsclcmq2ZD4mfTSjrtB+RpN/XTKz87jL0twP63iXTu1aAOV2M2WA+PK5//Ny0gRXDsOUmZycHLz++uuoVauW0P35+fmYP38+7r77bng8Huzbtw8ZGRno27evL01MTAx69OiBVatWyeaTl5eHrKysgP/sRmmZyQrzJW8HPveP/abI4Q+Hd0BJehMdgPXeq5q3zN9ceSjcKH3QpGBBMgzpmIZFo7vgk/su13yPVc/UKngD6MWXDzw9WuqdeHfrhZalJov0dWOXmTgz84PnPDir3mVZtMwM7VTbbhEsQ2iZKTExMWitlyE7OxtxcXGYP3++kCBfffUVzp49i7vuugsAkJGRAQBITg70qE5OTsaBAwdk85k6dSomT54sJINZ+D8r3givRnyAvAPbmr2n9ReqBrcDsPoNPDMvu/o1U85mkrhm9NZsj8eDtrUTufIzaknNzlkhp8+vIuptWHsJRhlUFB2ADSqjXyvlyMN6QxdoXu7nz7r0XpM7jCEda+OTtQdV01np/+g25U9ImXn11VcDD0WLiEBSUhI6deqExES+Ds/Le++9h2uvvRapqYENP7jzZ4wpDggTJkzAo48+6vt3VlYW0tLShGQyCn9pbXCZUd8SGvTv83mF5gnDSakDsHpapy4zcR9QyBFcTe5HMzu9GgnlcexcLmolxiqmc+r7MAK7q2aUUqykcOpTRkvvTa+uHPrA7NAFvrxNfmlSJ7Jr5YZWNfDJ2oNoZHKYCB7KhDJz5ZVXIi0tTfKDOnjwIGrX5jNtHThwAD///DMWLlzou5aSkgKgxEJTo0bpVsDMzMwQa40/MTExiImJ4SrfbPT5zOhvUarjWtDvlvjMaLQd+OKGGBiVWE4mszBimSk9Wd7h3aigeVuPnNOU7vG+jfHY53+hXrUKyglNfMYuWMIPQeRYBrPRapmROmLDiDK0/G4UehRALXeW4zw1XAq1NiIdc8mcB+i2iMlCT79evXo4cSI0auapU6dQr1497vzmzJmD6tWr4/rrrw8oIyUlBUuWLPFdy8/Px/Lly9GlSxcRsW0jwIplg7qrNksPPaHaQXFmzBXDrxztSpOucjRUKDjN5/d3VlQcJLMUqMfnGw5rSicSLFIPkqdNu1Cb4RFZ7Rkb1Y/ERGkbAngcvwFxZ2ahZSbN7dFcujbUsQvLiXqDn0xu+NyElBm5we78+fPcp2YXFxdjzpw5uPPOOxEVVWoo8ng8GDduHKZMmYJFixZh69atuOuuuxAXF4ehQ4eKiG0b/h8bbydkh8+M0dt6JePMuOHrMAGRLb0dVM6Ykppxmhn4UPPgIdh2tT0jsfo1SFKxJoXI4ve3yQMOT7wVvbJcXr+kTSntZtJ3YrhfPqp18V9mcqbXuJJVZ9VTV+K9O9vjupYp4gVopYz2m1rgWmby+qJ4PB4888wziIsrPQ+jqKgIa9asQZs2bbgE+Pnnn3Hw4EHcfffdIb+NHz8eOTk5GD16NM6cOYNOnTph8eLFjogxw4PSbiYrUF1lCj4Qz4oIwJqXmS6l1zB48ThrlnSa1vQMAf2gCa9fMmaeiVXTasUybGu2Sjlv3a79MNIGSRWx54RorBn/wZ2/bkZaPPV2I9Uqqi/FW2cV9fvbVF3GnMxTK8citXIsthzWtkyrhFALcaJVxwa4lJlNmzYBKPkot2zZgujo0iBK0dHRaN26NR5//HEuAfr27Sv7kXs8HkyaNAmTJk3iytNp6NnNZATFvDFdjLbM6BhsfQMnR1qNGduCKXFmLLZ8ad1hZuYj9i+5a8Oqmu/jff52OUFaVq7iDja/vzmz5VFQrNoUYXboBjOtV17IMCMPlzKzdOlSAMCIESMwc+ZMVKrkvpM17cAOBQYomb0VM/WB7YbWqXhq4RZrhLqE5uMMfJYZ7WlF4NkCzp0351AQF8N5vplE9rwKLAAM71yHK71aEWY2+8DQ/9Z/XyJFWjEQaX3tWqxmVjmA6t3NpFVOs2vjtt0/4YaQTjxnzhxSZBB6ArYc5ctFoFZiLKpVjEaNynw+RXo+EG8noda/VYiJwj3dSh23je50papgxsGJPI8qv5D/9HFReGe4N7fjCzxp1NFMVQwOV2/mYOjfHniWXHhlMrIOqsqfYSWpk5Kg3g/pif/i4VBQnLBzS/VeTWnMr4n0OWWmF+sKNFtmBg4ciA8++ACVKlXCwIEDFdP6b7EOZ94Y2g79Xl+pms7j8WDZ4z1RxJgh2/e0wuNvEjAgWGLL5POZOZ6lHubcDR+1FitC+XJ8lhlJB2CBd6jV8VvrdnmPQU1dshx/ywxPsESTlxqsQnQZ8d3h7bH58Fl0S0/COyv2Kn6Fga5e5lXeo0dr4rhFVx20WLIM2azB/2Id1CxtRbMyk5CQ4Gt0lSpVssW06zRa1EzADa1T8c1fR1XTRkVGSD7s41m5xgt2iZJ3xAyP0WIEIp3xtqPn0DzVnJN7rcKMpyydp8AD1vhSvOU5xWeGp+na223xHuJhPL2bJaN3s2Ss268e5duoZ6W+zdwvrTFFCslhZ/5a7yWfGXk0KzNz5szx/f3BBx+YIYsrEfFN8KdQZTqsR8nwLqXMWrobj1/dWPN9RvuNSG8d1nivX/e27WiWojJjhEJmxgnjZu/W0ONg7Y92y4y2MkTfh5b25//dmRm7SS5rkRKN9DGyYlDLLyothXuZiSetRRqmnlKcsswkRVy0UOxbVdxmrhAyBF955ZU4e/ZsyPWsrCxceeWVemVyFbGcSwJOJWCVibOnLKfRd8gfreZUnhg9bvj4zOjwjIoAzKvEqqUW3T7MGyqAyzLjilZi/gCvJfcvNAZR1FtagGXGxaYZI6Ju8H632yZfbU24DxcEBhNSZpYtW4b8/PyQ67m5ufjtt990C+UmojVG0BTFsq5XR0HV45WdCSUdgDXmzeU869RxSkCu5Er6juQw1TKjefeIiQ7AfrLyWGbsXGYycjgwamxRmlRk5xb4/uZ9bHxLf/7OwiZa2fTcq+Fmsx2MgcD3PuqK+qgQY45Vxo1wPYnNmzf7/v777799J1sDJUHzfvzxR9SsWdM46QhhvNuyteLfiehdOtMCb5wZQL2zCOgIuSMta3Nq1YtWsfQO0CJLhVrfu688k7ZmB2crJVaAzwxH3mafz6OHzGx1J3e7MNNSZFUcUfMV2dACbmtv7CHH/t91e5XI4GUNLmWmTZs28Hg88Hg8kstJsbGxeP311w0TjhCjQVIFfDe2O5r850fN9/h/6LzDoNqSkfRgqw2znDub1aiEv49lab9BFi1bxgV2aHCklVxmEltn0oRWB2BRtMju3+b4lpnE0bnpRv0QQQst+ZosDRaVxTNh0SWHjhppuVdK9map5oUwcaoh2i64lJl9+/aBMYb69etj7dq1SEpK8v0WHR2N6tWrIzIyPHxI3EyEx8O/vdfvb/4YMPyIbEEMC58ZrdtIeSwzEtdErGtGR4oWdcwNOfhUMk0pZloNjMxars0/2qcRftt1Auv2n9FcrlGKpFn6k+gkRORxa33/pu9mkrjWLZ3z8Ekea7obOjwL4VJm6tQpiRBaXGxdwDGnY3Z7EmmwTmvkeuKg8OwEclq9vQR21sYLadRgrvmdaFbIQq/1bZasel+TFA1nrxkwCg/ukIYF6w7pz0gnY69Kx9ir0lH3qe9815zalkVQq4qZu9F45FC8V5PPTGgirdHftX7DLvDDtQ1d3kN///03Dh48GOIMfOONN+oSyk1Y3baev6mFapqYKGutYyIfGO9Bk0YTnK/o0gnv1myt8JxXY9RBk9p9rC75F2lKVULvpsno16oGemtQZvq3rolHPv1LMY0Rfl1WDwxWOABrb7/qrTLKrxHyb80W8/kydZnJZJ1J6js0eqdR4DEehmatXK51RQkjpMzs3bsXAwYMwJYtW+DxeHzmU692WVRUZJyERADJldTDkDetwX+quJ7GKmLy1j6Q8Cy3OH9XixnRSqXj+Ai8E4NPMvefcVeMicRNbbVtDogIGgCkyrF/hsrfgHhkdsIW8tG9GmDtnJLgerr8Tbic2c3zLzPb+VvqGfEWydOszW4jbguMK7Sv+OGHH0a9evVw/PhxxMXFYdu2bVixYgXat2+PZcuWGSwi4Y9S81o4ugvuuLwOnr6+mWXyAIKWGYElDVWfGRd8e1pF1DuhM/WdeNOrpdPhVK5GkQ3ajBMUDDV4ZVR6jNUq6gsPoBW3DZpySFVDq2VG6yMo8jefhsdjMwwhy8wff/yBX3/9FUlJSYiIiEBERAS6deuGqVOnYuzYsdi0aZPRcpZZgjsnpUbfrnYi2tVOFCrHepO7wBkkqrsirEdLLQLiaBi8hi6H2DKTeZGfi3jiBAQhdWexYH78j1V6p43Qbiae4wwcNlBxy8Ph1GtVVa04biAYo/2B7FDi3YKQZaaoqAgVK1YEAFSrVg1Hj5acTVSnTh3s2LHDOOlcgNkfYnAHePpCaLBCM8rhu1fgHhEHYLWnrceM7Fs6Ec5CWzla0+m1zIjco9la5uFKDwA/bs1QT8SB2jEgcvjfFrycZTeTb2xuWVm8QeCc9aQCMWPpVuReKTl4lRm1pdvCotLNN05+J3YgpMy0aNHCF0CvU6dOmDZtGn7//Xc8++yzqF+/vqECOh3/pte1YVXTyysocp5mLuYArA3RLcrqs0F7ugLtHa8+tG59v79HA9/fmoPmecvgkEdU+ZCjUmw5ofsCz3QyShqNqDyCpHjtyzpy75ffR0NeKP9vhFfxE92F6DSLFA9SfZXWx6a12v7fkSXHGFzCDQYhoWWmf//737hw4QIA4Pnnn0e/fv3QvXt3VK1aFZ9++qmhAjod/5c8e9hlhucfPOiaFajMcgQsM2rfrh0dobYTyfnz1Wue1tpKnrq2CQDgreV7+AMZWtTDSRVzRXo1jOhaF81q8AUli/E7foR315/e6qqFnnfaOG7ZLqOAvwUcgK14cFosWRLXjFY4/JdrO9c3f/LsJoSUmauvvtr3d/369fH333/j9OnTSExMDBtnLhESBGeL7sf8nTPBf5uFGcNz4CzVWIdAOXiCElaIjuS+BzB3u2aLmpWw9Yh8hGaPx4OJN/Avy8T7KRRx0ZyBJXUsu0RHRqB1WmXtZXHmzwtv/nqUa3XLTHiMGVLPyOi6+VtmoiLNPRfQbRh2SlWVKnROhBWYtjyiY2Qyd+eM9sUjs9fErUSvPDzvxLuEYHTQPH/iy/N1NdEO6ait9BsJVNytaY9K71xP3YWXhwWqbcW3q2lrto7dTF7UPkFRx/eygOYeZuDAgZozXbhwoZAwhDqmnYdj8b0iZzM5MQKwyLEMWrDSAdhblnafGX4H4PTqFTkkChoMTeq/tTxjw16vwW3TihW+AJ8ZXTFaVCYhLnE0VkNKds0+MxrTTRnYEuO/2IxH+zTSLFdZQbMyk5CQYKYcLsbcXsWqAbpu1QrC9xYU8R9voVUJ4OnoeB6VlYqPyGTKyq3Z3sFGs5zenV8cbd8p88m+zVMw948DqFYx2m5RJPBI/GVSSRraV2CMJ878TUxtB5q+RwN2M6lxa/s09G2WjMpxTmy/9qJZmZkzZw535r///jvat2+PmBhrgi+VBXhMqqN7NsDsZXs0pb21fS38a9EWIZmycwu579E6cPLEaDGk3zBh1K2VGMt9z9PXNcXt763BPd3qCZXJo2h4ByruoHlO0VA46NqwGr59qBtqV43D/1bsVU0v16bs9vOw4tGL+HoJlaMza6e43Ej1zfxbs9XTkCIjjWE+M1Jce+21+PPPP8vcdm2n0K1hNcxetgeNktVN/FY7k2ntjCN4LDMmOinKoaUeqZVj8dmozqgcp91BvFt6NWydfDUqquyAkZWLxzLjU2aco534vw6jl1Zb1BSzMpseDp8ntoBBaH3luiwMasvD/n87RDEJRtRnRrtFy6EVdxGmKjNO6hzNogxU0Rw4/TMAYzs6q7uOjvX4HeRFFRmAb+buHah4Y/+UhbYv1074HWL1SqKxHAPT6dlJyJM+cClZYGs29x3mYMXWbCvxH7/dEBLEGVsGCFl0fQqcywdWYrYDsGpn6tQpoFEIvHQzg+bxEuD/a2P7Nc7/V4OPiszfUljzTPwdgI3IRe730hT1k8R998xES3dhxdZsQh5SZnTiREVBFP+AYmZjynEGOigdoMPjhQpZZji3ZvNYXst6l67t+ABnPSU9W8VFT7Dv2rAaVzkhGdiIEWKES/9jB6TMhDG8g//MwW3MEUQCoY9Wde3d+k7NqcosTzwK76zb6IMm/XHiY9K01GJhWf70bZ6i+LvVg56+oHnOUDb0oG0zk/U+e0Qppioz4dCInYbYab3aSIovDwCoXSWOvxBORMbNsr5yxANfnBlOy4wlQcpKyzBr2NaTrxltzT/L4Z3r6M9EKRnnTmMzvy1/RcnV37CbZQ8DyAHYZYjsUuFNb8Wsz4ymwVPdcOt3XhjQAuv3n0FeYRG+35LBFwGY0zIjcsK4E5837+GXegba2Gi+rjbSsgjACgdN+snAHWeGYxeiIxtHEKKnZvPipCHTXxQnySWHqZaZ7OzssN+W7YY1Ts0B6nzpzZPFixlRg3XtHhV0lnbK+x/WqQ5eva0NIiNKPmkuqbj9IXCpDPcFzfOnyILQ8G/fcRnqVo3D+3e1V03L8xqsiQBcCu8yk+in6NTdTIIx87Tnr+Nes6hVmT8+lp1oni60bdtW87LRxo0bhQVyG2YfLmnlIGDlllutCpb/ycYxKrFwnHa+kh2UKqQmvkSLd8mZVRcrlJmrm6fgahX/FzvgtTRwuwxw7CzUu8zklKWpcHOreOiqdLytIbCkU9CszNx0002+v3NzczF79mw0a9YMnTt3BgCsXr0a27Ztw+jRow0X0sk82Csd2zOycVObmqbkH9yPc8Vv8ObBmd5JJPgFmiuvcspxmPUlQuh5BhboPybewI8WZUY2ArAJAnJZZvz+/ufZa9D0mR8Nl8cfM1+H3rz1xGMykuCluJVP9uLOw0nLOU55rlrRLO3EiRN9f997770YO3YsnnvuuZA0hw4dMk46F5AQVw7z7ukkfH/7OomKv5u5wyQYKyPBbs/I1py2dpU4HDx90URpSuGuuYM6H4B/mzUgEADOe9Ak531Ow2k+faIKUqyfks+bh9ITCDxokk+mgGCXPNu0OcqYdnMrvL1iD56/qQXHXeYRXM9aido3UoSbVccOhFSvzz//HOvXrw+5fvvtt6N9+/Z4//33dQtWVqhbTTlIlL4dFz6PXm3pw2SQAkRme+HRmeiJl6P1HquPPzCrFN5VJj0RcY2mgc7gctri3vj/zekzw2NBFizn1g5puLVDmikyhd5rjQOwU3HDmCCkzMTGxmLlypVIT08PuL5y5UqUL1/eEMGIEioELa2Yau612BfCaGh2A0v8WXiXL/WUYSa8Cp/pPlkc2d/QKhXHzuXiMhXLrlGYGZXfI/N3WeTI2Ry7RXAtQsrMuHHj8MADD2DDhg24/PLLAZT4zLz//vt45plnDBWwrFM5Lhp3dq6DuX8cAMAbPwTc95Skd6Y2ozZA29EROu1JeQdcHquDE3VAK2RytNKu5jQb4cH9PRroLkbpGQQefCm+m0n9GBIHNsAgtEiopxqnzuf5/s4tKEL5csr+gSJc1aS64Xk6CSFl5qmnnkL9+vUxc+ZMfPzxxwCApk2b4oMPPsCtt95qqIDhjpb2f13LGqXKjJkzbodaZrR2EsbEeXBY5TnREytI+3EGgloyBzUSSreFmvVKtCh8Vu6Qc/6Qrh0eBUWHzuQo9LSVnIIiAyWRpmmNSqaXYSfC7sq33norKS4Ox6mOnUM6pqFzA4EzWFTQFefBxZ2oPyKxgng7YQt0GTx9fVMs2nTExBIA59nVnIW/QsLdlwgGzXOqlYbXx4gXC6IEhD3u2ntFCM64+Rw7zWbqwFam5GtHR+g0Q46urdlay/CmN7Hy1SrG+P42a9mzuJgvvdnNy4j2y5uF0rO1ymISLvGh9Jxf5f8tmfVZOdV9wCg0RwCuUqUKTp48CQBITExElSpVZP8j3I3TBuhSHCuYY1i3/wwAYOYvu0wrwyqd0exykivFqCfyw+xq68m/SUo8YstFonWtykaJE2RdEfeZUT0g1gW6jKYggwaVFe5Kh1lotsy8+uqriI+PBwDMmDHDLHkICUTPyOBdDijtVJz1MWntJPR0ipfXr4pvH+qGOJXAfE5n38kLAID8Qu1mB9Hn5qxWws+oHg1w+EwOrmkhH6HXDQMtAHw3tjsKi4sDImYrIXpumxnpXfKIVTFq67dzJ5PORrMyc+edd0r+TViLudth+QOuOQk9nWJCbDkk1Ezgvi+cZlHa37tAYD4r1r84qRAThem3tRG615RTs3XkGRnhQWSEsYp4YOA7/rul8pFM6VBt5omrG+O/P+0AoNVnxpiKhE+PYi3CPjNFRUX46quv8M8//8Dj8aBZs2a48cYbERnp7pmt1Whp/0zUNMM56Fjh2GkqTu0VwwyRHVMi/jUeuLgtugTNW7NNxKk+M4lx0b6/rVxidPuOSrsQUmZ2796N6667DkeOHEHjxo3BGMPOnTuRlpaG7777Dg0a6I9/QJTi37irVzIvKKEVjp164Ikz49RdEU7Ez8DNld6hzcS1WLsNnM8HRM8yk3qcGb68wxH/Z2DWZ6Xne3XDt67ZAdifsWPHokGDBjh06BA2btyITZs24eDBg6hXrx7Gjh1rtIxlHv921Kdpsub7eGfQTrXMaFVMRA/qI8xHj3JJ78omjHIAdghWhm747yBzdmwS8ghZZpYvX47Vq1cH7FyqWrUqXnzxRXTt2tUw4YhQIsyMK+56nxnami0C/6ybv50ILTN5PLY/YDlrn92nZhsFp5uUEGq3hqMVtXFKvN0ihBAGXZUiQspMTEwMsrNDTz0+f/48oqOjJe4g9NCxXhU0rVEJ6dUrCt3P7TPj0hG6LO6gMBLN7cRcMcosVj5XTQ6tOhyAuSIAO7RBBcqlTcghHdNw9GwuWqTybyYg9CGkzPTr1w8jR47Ee++9h44dOwIA1qxZg/vvvx833nijoQISQLnICHw/thv/ybWc5fh8ITjvswoj5XJqHd2AiNKra5nJgS/LqQOwkeg6NdtgWdyCWQFBjSDc34mQz8xrr72GBg0aoHPnzihfvjzKly+Prl27omHDhpg5c6bRMoY13OfhmIgVZ+6IoDnOjKlSSOOwRyUE7zEWVi3nOa3zNV0eO5aZlHYzyfytBR5FyNSVc4Mwu/u1QmHXU4QbQlBwW2YYYzh37hw++eQTHD16FP/88w8YY2jWrBkaNmxohoyEILy+DU63zKhh1Wx5XO90zPjZvAi7bsGt7cQNOHW7slZOZJeeAq12iKLb60o4AyFlJj09Hdu2bUN6ejopMGGE631mLOoUGyc7z7nPSqw+Xd3OWWGAVYFju7FQWVZuzTY5CFxBUWkE6mLX9ifSf7sVl74GzXAvM0VERCA9PR2nTp0yQ54yh7kRfXnT8y03WI3qx+hX4Qt5habK4sWtil8Agkqs2UqGE/xSwuL9CqJvK7P7HYDtogw3OV0I+cxMmzYNTzzxBLZu3Wq0PISNWD3j1ozGzs4/2faM0N12RuG0x2M1lltmHPjAw2VrtlJr1nXWkPitjiQcto+HQRUUEdrNdPvtt+PixYto3bo1oqOjERsbG/D76dOnDRGO0IfospEbnL2k2HDgjN0i2M5VTarjl+2ZXPc41VfK44ADDawcxCzdmq0pAnDZdPQOV3RNCpzWOUggpMy8+uqrYaGpOgEnzToda5nRyOkL+ZaX6bRHVS5SyNjKhXeQO3k+TyVleEE9nnYiAgIMuhMZdynCoQgpM3fddZfBYhBmonnLrXf3k3mimIpV+rWTlT0rrGp5hSW7U4oZUFTMEGny3lqnPG6zJ3B2TBAV27KeZSYHjv5OlMlK3Gpx14rQNC4yMhKZmaGm7FOnTnGfmn3kyBHcfvvtqFq1KuLi4tCmTRts2LDB9ztjDJMmTUJqaipiY2PRs2dPbNu2TUTsMofweSoObfNl2RlTKyKPiHcLv/+22/zCYoWUOnHw4OP2gVHbbiZj8ldT0txg5XeBiGUeIWVGblDJy8vjOs7gzJkz6Nq1K8qVK4cffvgBf//9N1555RVUrlzZl2batGmYPn06Zs2ahXXr1iElJQV9+vSRPE7BjVihLXMfZ+AwbUZ70DxrepzWaX6hyp31qHBZnUTTy3DD4GMGZivTTnusunYzOVkTFcD0oHnmZl8m4Fpmeu211wCUdGbvvvsuKlYsPSuoqKgIK1asQJMmTTTn99JLLyEtLQ1z5szxXatbt67vb8YYZsyYgaeffhoDBw4EAMydOxfJycn4+OOPMWrUKB7xyxzcBwi6/KDJCA7V/I7L6+CvQ2fRqV4V9cRB1EqMQ8WYKJy3aPs3DyO61kNcdCS6NKym+R5eB2CrI7aSRc54IjxAhehIxEZrs6RzD+ZhoMuEm0IW7nApM6+++iqAks7lrbfeClhSio6ORt26dfHWW29pzu///u//cPXVV+OWW27B8uXLUbNmTYwePRr33XcfAGDfvn3IyMhA3759fffExMSgR48eWLVqlaQyk5eXh7y8UjN4VlYWTxXLNLHlInFD61REloFv+OZ2NdE8tRLqJ1UQur9+UgVsPnzOYKn0Ex0VgTs61zW1DP+BzUwrntOaoek+M6bmHkjD6vHY9uw1imnKqgVOClJsnA+XMrNv3z4AQK9evbBw4UIkJuozae/duxdvvvkmHn30UfzrX//C2rVrMXbsWMTExGD48OHIyMgAACQnJwfcl5ycjAMHDkjmOXXqVEyePFmXXJZi4qSzqLgk84ysXE3pE+LK4fUhbc0TSCdGPiqPx4OmNSoZmGPZwX+QK6tGk7IwtPnXkfc9l4XnYxpmfVNh/q0K7WZaunSpIYUXFxejffv2mDJlCgCgbdu22LZtG958800MHz7cly54hsAYk501TJgwAY8++qjv31lZWUhLSzNEXrdx6kJ4bJ118gzRaf5FIvDGI4q06H28dcdlYIyhaoUYS8pTw+xaO62Z63MAdlhl9BJm1QlHhJSZoqIifPDBB/jll1+QmZmJ4uLAHQ2//vqrpnxq1KiBZs2aBVxr2rQpvvzySwBASkoKACAjIwM1atTwpcnMzAyx1niJiYlBTIwzOj+7KTZxo4koZvZxlp5tY1lJzsM/lk2FGKEuRBO9Glc3LW+9hNtYLUW4L60oTYoBlO2PPAg3TNmEeqKHH34YH3zwAa6//nq0aNFCWAvv2rUrduzYEXBt586dqFOnDgCgXr16SElJwZIlS9C2bcnyR35+PpYvX46XXnpJqEynYWYjKXLgGgD1D84jK6cAAPDPMW3+ZWXJIVeuazPnEfgFmnPYh8K/maAUtfZiV10Z0162w16H5bjhmxdSZhYsWIDPPvsM1113na7CH3nkEXTp0gVTpkzBrbfeirVr1+Kdd97BO++8A6DEVDlu3DhMmTIF6enpSE9Px5QpUxAXF4ehQ4fqKrss4MQGGKGj5+I5aNIqHPiIufE6Mp88ry2CchhUWQg9bdeNGBVnRjWtTapCQXExYiL44qK5GT3frRuWDYWUmejoaDRs2FB34R06dMCiRYswYcIEPPvss6hXrx5mzJiBYcOG+dKMHz8eOTk5GD16NM6cOYNOnTph8eLFiI+P112+EzBT4Sg2edS5vH4VrN57GpfX1769OUJgX6/2ODMW4oKPWyvFnG0wIbYcdxnh8LQCd3ERSrhhiSonvwgxUVq3ppsc5drhsyLnv01BZeaxxx7DzJkzMWvWLN0vuV+/fujXr5/s7x6PB5MmTcKkSZN0leMk/n19Uzz/3T+ml8M7SPHy5rDL8H9/HcWNrVM132N1jBJCHd5W0qJmAh7r0wg1E2PVE4cRESbv4nKafmyVZcYqghUs1cjEZgpDGI6QMrNy5UosXboUP/zwA5o3b45y5QJnagsXLjREuHDl3u71AcB0hcZsy0xihWjc2aWuprReBe7VW9uYKpPVOHxCpQmRdvLQVenGC+JwnDhAhwN2PVe+pTDC6QgpM5UrV8aAAQOMlqVMYuZYGBNl/gnKWrm3e30M61RHc8RRKdS2QVu5rhtOnZvZFjw345FxyjVjS77T2pQblor0EN61K3sIKTP+xw8QYlgx8F7VpDp6N62O1rUqm16WFkQVGZoRm4wFukw4qEv+g3sUz9kZLkXXMpNxYpgGTx9sZR9kVuwqp/vl6EU4SERhYSGWLVuGPXv2YOjQoYiPj8fRo0dRqVKlgDObCPuIiozAu3d2sFsM3Wj9Bu3wxwmH7sEKy4wbBjceGggeg+Emwu2dBROl0mH4KztmW6ncsFvI6QgpMwcOHMA111yDgwcPIi8vD3369EF8fDymTZuG3NxcrvOZyjphriwbwq7M8wCA3Znn0aWB/AGKIrtsRPnz0FkAwIFTFywr0ywsUWbCrK82Y/Bx2oBmlTxW1TrY4lG+nHO2ZVthNQn3sUbIVvrwww+jffv2OHPmDGJjS3c0DBgwAL/88othwoUzzuq23MGyHScUfzczGq0cq/acsrxMo7Gikwt3/4twR8+p2eEwhjpMz7QeF9RfeDfT77//jujo6IDrderUwZEjRwwRjCC8lIv0oKCIYWC7mnaLEpYkxkWrJ9KLCzpDKawcxJz2iPQcNEnwcVVT6eN5jESfD5TTWmcoQpaZ4uJiFBUVhVw/fPhw2ASzswrqI9RpW7vkdHY3fFBuZPw1jXFFoyS8MbSd3aIQDsIqRc4NVg+zRSxvwc5TEYV0dM8GqFk5Fvd1r2e8QAYj9AT79OmDGTNm+P7t8Xhw/vx5TJw4UfcRB2UFN3zATkHro6LZoxhVK8bgw7s74vpWNdQTC0LN3X3o8ZlpXiPBknLMxJlSWcv4a5pg5ZO9ULWi8w9vFlpmevXVV9GrVy80a9YMubm5GDp0KHbt2oWqVavik08+MVpGggBg3pZFwjzqVI3DgVMX0c9ERSlccOiYDoBftoQ465zxLcHB70Yror2nU5XNYISUmdTUVPz5559YsGABNmzYgOLiYtxzzz0YNmxYgEMwoU647/03gjX7TgMocQDu10r+6ASXfHNliv8b0w2bj5xFV4VdaE7Gv0mVZf+ZcOCG1qmY8v12u8VQhYYEMYSUmalTpyI5ORl33303RowY4bv+/vvv48SJE3jyyScNEzBcoc6KH7XdTITzSIgrh+7pSXaL4QrKqk+YVbWukSA+0aY4M85HyGfm7bffRpMmTUKuN2/enGLMEKbhxO/dgSIRLuXMxXzf3zkFoRss7CRcrAVqgfL8cWJ/Q8gjpMxkZGSgRo3QNfCkpCQcO3ZMt1BliTDpIyyB+hYinPFXYAqLqGdwEqTYOB8hZSYtLQ2///57yPXff/8dqanyPg1EKWRW5IceGVFWcFpbd5o8ooRLPUQIF+uaHEI+M/feey/GjRuHgoICXHnllQCAX375BePHj8djjz1mqIBhT5g3MCMpqz4FhH34D37U+kzCBQ/WBSKWeYSUmfHjx+P06dMYPXo08vNL1nnLly+PJ598EhMmTDBUwHClLM8QRKFnRliNlbNZ/7JIcbefcOtvqlQIs+3yQQgpMx6PBy+99BL+85//4J9//kFsbCzS09MRE+P8wDqEewmzvoVwAUzmb7MJt4HU7URFmh+h1yxmDm6Dn7Zl4J5u9e0WxVR0ncxXsWJFdOjQwShZyhRVKkSjeWol1EqkuDxaUfMzurJJdby5bI9F0hBlgXD3M7AElWdopRWqpCy+l9o9vRouq5NojkAW0L9NTfRvE/7n2ll/zDABAOjXKlUxABzBT4e6VewWgQgzrI06TZoTQa1AFPfazogyB5neCauxyzJTltq6U+tqrcWI0AspM4RrcGKn50SZCHOw8lVT6AaToMcatpAyQ7gG2uFBWE2PxiVHMZQvR12lWdBXTRgBfaGEa6DJKmE1PRsl4fP7O+P3J680vSwnOxuLTCQSYku2AtetVsFocYQR6UKc/F6IUsgBmHANpMsQVuPxeGxxLA+Htv7ZqM44l1OAek5SZjgeLE2e3AUpM4RrcKIfQaXY8A5ERViHkw0AIru6GqfEa0pn5WdNS9XhCy0zEa7BSd3QtEGt0LZ2ZUy4tqndohBW4UBlmuCDXmH4QpYZwj04qCO6tX0abm2fZrcYBGEJ4WLREPKZsdhmxshJRwiyzBCuITy6U4Ig7MKJS9UAWYyMgJQZwjVo6Yhap1U2XxCCMAEnT8jNtE5YafWZNbQtAOC5m1pYViZhDbTMRLgGLV0eTXAIwnjCZZmpZ+Pq2PXCtSjn4oMjCWnojRKuQYsplsy1hGmYbDopq23X6nrzKjJOtpgRpZAyQ7gGLbPDMjoeEBZQbPKg5j9oOm38NFPhGNG1HlIqlce93eqZV4gATvWvIaShZSbCNVDfQthJMU3RTaFKhWj8MeFKUh4IXZBlhggrqEMkzMJsy0xZhr5bQi+kzBAEQWjA7PgfVsczIYhwgpQZwjVomb3R/I4wC1pmKptY/dqplYlBygzhGkhRIezE7EGtiNaxHIWV/Q0ts+mHlBnCNdDWbMJOzLbMRPg1Xqc145qVY+0WgSAUod1MBEEQGjDbMtM9vZq5BQgw/55O2HvyPNrXrWK3KAShCCkzhGvQZJlx3JyWCBcqxZYzNf8oB0al7ZZeDd0cqGRZCTlmuwPnfT0EIYMmRYV0GcIkaleJAwD8p18zmyUhrICWrN0FKTOE44m+NGPt0qCqalrqfwizsHJwI1sAQfBBy0yE4/nlsR74dXsmbuuQZrcoBEEQhAMhZYZwPGlV4nBnl7qa0pJpmCAII7E8zgyZ5YSgZSYirCAHYMJszI4ETDgD6kvcBSkzBEEQBEG4GlJmiLDCuxzVtaG6szBB8EDzdIJwLuQzQ4QV17RIwbLHe6JmIkUsJQhCP7So6A7IMkOEHXWrVUA5BwYgI9zNn4fOAgCe/+4fU/Iny4+zoM0E7oJ6fIIgCA2cPJ9vtwgEQchAygxBEIQGzD5okpYzCEIcUmYIgiA0QDuyyyj03l0BOQATBEFogA4cLFtY7TJz16WdmOXLkY1BBFJmCIIgNFBMugxhIpNubG63CK6GVECCIAgNUORfgnAupMwQBEFogCwzZRNaXnQHtiozkyZNgsfjCfgvJSXF9ztjDJMmTUJqaipiY2PRs2dPbNu2zUaJCYIoq5i9m4lwFhRnxl3Ybplp3rw5jh075vtvy5Ytvt+mTZuG6dOnY9asWVi3bh1SUlLQp08fZGdn2ygxQRBlEbN1GRo7CUIc25WZqKgopKSk+P5LSkoCUGKVmTFjBp5++mkMHDgQLVq0wNy5c3Hx4kV8/PHHNktNEARBEIRTsF2Z2bVrF1JTU1GvXj0MHjwYe/fuBQDs27cPGRkZ6Nu3ry9tTEwMevTogVWrVsnml5eXh6ysrID/CIIgCEIEWl10B7YqM506dcKHH36In376Cf/73/+QkZGBLl264NSpU8jIyAAAJCcnB9yTnJzs+02KqVOnIiEhwfdfWlqaqXUgCIIgwhFa+HMTtioz1157LW6++Wa0bNkSvXv3xnfffQcAmDt3ri+NJ8gLizEWcs2fCRMm4Ny5c77/Dh06ZI7wBEEQJkHbwAmCD9uXmfypUKECWrZsiV27dvl2NQVbYTIzM0OsNf7ExMSgUqVKAf8RBEEQBBG+OEqZycvLwz///IMaNWqgXr16SElJwZIlS3y/5+fnY/ny5ejSpYuNUhIEQRBlBbKRuQNbjzN4/PHHccMNN6B27drIzMzE888/j6ysLNx5553weDwYN24cpkyZgvT0dKSnp2PKlCmIi4vD0KFD7RSbIAjCcGjQdBYUZ8Zd2KrMHD58GEOGDMHJkyeRlJSEyy+/HKtXr0adOnUAAOPHj0dOTg5Gjx6NM2fOoFOnTli8eDHi4+PtFJsgCMJUlPwCCYIIxVZlZsGCBYq/ezweTJo0CZMmTbJGIIIgCJsg9YUgxHGUzwxBEARBEAQvpMwQBEEQhAy0Td4dkDJDEARBEEHQsp+7IGWGIAiCIAhXQ8oMQRCEw6ClDYLgg5QZgiAIgpCB1Ep3QMoMQRAEQQRBsX7cBSkzBEEQBEG4GlJmCIIgHAAZAghCHFJmCIIgCEIG8sV2B6TMEARBEEQQZChzF6TMEARBOACyABCEOKTMEARBOAzaSUMQfJAyQxAEQRAykMHMHZAyQxAE4TAoArD9kHHMXZAyQxAEwQENcgThPEiZIQiC4MAsXYaUJIIQh5QZgiAIDiJI6yhb0JKfKyBlhiAIgoOICFJmygKks7oLUmYIgiA4IF2GIJwHKTMEQRAc0DITQTgPUmYIgiA4qJ9UwW4RCAshjxl3QMoMQRCEBr4e0xXXtUzBm8Mus1sUwgI8dDqTq4iyWwCCIAg30DqtMmaTIkMQjoQsMwRBEA7A3xJAZzMRBB9kmSEIgnAAsdGRuL5lDVzML0RqQnm7xSEuQWFm3AEpMwRBEA7hjWHt7BaB8ELGMVdBy0wEQRAEQbgaUmYIgiAIgnA1pMwQBEEQBOFqSJkhCIIgCBkYhc1zBaTMEARBEEQQ5P/rLkiZIQiCIAjC1ZAyQxAEQRCEqyFlhiAIgiBkoKB57oCUGYIgCIIIgo6UcBekzBAEQRAE4WpImSEIgiAIwtWQMkMQBEEQMpDPjDsgZYYgCIIggiCPGXdBygxBEARBEK6GlBmCIAiCIFwNKTMEQRAEIQO5zLgDUmYIgiAIIggKM+MuSJkhCIIgCMLVkDJDEARBEISrIWWGIAiCIGRgFGjGFZAyQxAEQRBBeCjSjKsgZYYgCIIgCFdDygxBEARBEK6GlBmCIAiCIFwNKTMEQRAEEQTFmXEXpMwQBEEQBOFqSJkhCIIgCMLVkDJDEARBEDJQmBl3QMoMQRAEQQRBLjPugpQZgiAIgiBcjWOUmalTp8Lj8WDcuHG+a4wxTJo0CampqYiNjUXPnj2xbds2+4QkCIIgCMJxOEKZWbduHd555x20atUq4Pq0adMwffp0zJo1C+vWrUNKSgr69OmD7OxsmyQlCIIgCMJp2K7MnD9/HsOGDcP//vc/JCYm+q4zxjBjxgw8/fTTGDhwIFq0aIG5c+fi4sWL+Pjjj22UmCAIggh32tetgnVP98YnIy+3WxRCA7YrM2PGjMH111+P3r17B1zft28fMjIy0LdvX9+1mJgY9OjRA6tWrZLNLy8vD1lZWQH/EQRBEAQP0VERSIqPQZUK0XaLQmggys7CFyxYgI0bN2LdunUhv2VkZAAAkpOTA64nJyfjwIEDsnlOnToVkydPNlZQgiAIgiAci22WmUOHDuHhhx/G/PnzUb58edl0nqCY0oyxkGv+TJgwAefOnfP9d+jQIcNkJgiCIAjCedhmmdmwYQMyMzNx2WWX+a4VFRVhxYoVmDVrFnbs2AGgxEJTo0YNX5rMzMwQa40/MTExiImJMU9wgiAIgiAchW2WmauuugpbtmzBn3/+6fuvffv2GDZsGP7880/Ur18fKSkpWLJkie+e/Px8LF++HF26dLFLbIIgCIIgHIZtlpn4+Hi0aNEi4FqFChVQtWpV3/Vx48ZhypQpSE9PR3p6OqZMmYK4uDgMHTrUDpEJgiAIgnAgtjoAqzF+/Hjk5ORg9OjROHPmDDp16oTFixcjPj7ebtEIgiAIgnAIHsbC+xitrKwsJCQk4Ny5c6hUqZLd4hAEQRAEoQGe8dv2ODMEQRAEQRB6IGWGIAiCIAhXQ8oMQRAEQRCuhpQZgiAIgiBcDSkzBEEQBEG4GlJmCIIgCIJwNY6OM2ME3p3ndHo2QRAEQbgH77itJYJM2Csz2dnZAIC0tDSbJSEIgiAIgpfs7GwkJCQopgn7oHnFxcU4evQo4uPjFU/btoKsrCykpaXh0KFDrg7gR/VwHuFSF6qHs6B6OIuyVg/GGLKzs5GamoqICGWvmLC3zERERKBWrVp2ixFApUqVXN0QvVA9nEe41IXq4SyoHs6iLNVDzSLjhRyACYIgCIJwNaTMEARBEAThakiZsZCYmBhMnDgRMTExdouiC6qH8wiXulA9nAXVw1lQPeQJewdggiAIgiDCG7LMEARBEAThakiZIQiCIAjC1ZAyQxAEQRCEqyFlhiAIgiAIV0PKDEEQBCe0b4IwA2pX4pAyYxJubpS5ubl2i2AIhYWFvr/d/D7ChcOHD+PYsWMA3P0+MjMzfWe+Ae6ty+7du7FkyRK7xdDNoUOHsGHDBhw9etRuUXRx7tw5FBUV+f7t1na1c+dO3H///fjtt98sLZeUGQPIz8/HSy+9hFmzZmH58uUAYPs5ULwwxsAYw0MPPYTrr78ep0+ftlskYfLz8/HUU09h9OjRmDhxInJyclz3PgCgoKAAc+bMwaJFi7B9+3a7xRGmoKAAo0aNQpcuXTBv3jwA7vs+gBLl+J577kHHjh3Ru3dvDBs2DCdPnnRlXTZv3oxGjRphyJAhOHDggN3iCOFtV+3atcPdd9+N1q1b4/fff7dbLG4KCgowZswYXHfddbjuuuvw3HPPoaioyHXtqri4GI888gjatGmDCxcuBCj8lsAIXXz//fesatWq7PLLL2ft2rVjiYmJ7Omnn2Y5OTl2i8bN6dOnWUpKCvN4POzNN9+0WxwhFi1axFJSUlivXr3YQw89xGJjY9ntt9/OiouLWXFxsd3iaeatt95iiYmJrFu3bqx27dqsWbNm7NNPP2WMMVZUVGSzdNo5ePAg69ChA+vcuTNbvXo1O3jwoOveBWOMFRQUsGHDhrHLL7+cLVu2jE2fPp21aNGCde/enf399992i8fNunXr2DXXXMNSUlLY6NGj7RaHm+zsbHbjjTeyXr16sY0bN7Lt27ezvn37sl69ejHGmGva1+LFi1nDhg1Zjx492KJFi9jdd9/NGjduzP79738zxtxTD8YY+/bbb1nXrl3ZsmXLQn6zoh6kzOjklltuYaNGjWKMlSgDn3/+OYuJiWGvvvoqu3jxos3S8fHbb7+xYcOGscmTJ7MqVaqwgwcP2i0SF7m5uezaa69l//rXv3zXvvrqKxYXF+ca5bKgoIC9+uqrrGXLluyjjz5ijDH2119/sYceeohddtllrlJkGGPs3XffZb179/Z1ZocOHWL5+fk2S8XPwYMHWXp6Ops3b57v2rFjx1jNmjXZQw89xDIyMmyUjp+3336bDRkyhP3yyy8sKiqKrVmzxm6RuFizZg1LT09nv/76q+/a//73P3bjjTe65hs5d+4cu/fee9mYMWN830ReXh6bOHEiu/rqq9mFCxdslpCPm266iY0ZM4YxxtiyZcvYv//9bzZnzhx24MABS8qnZSYd7N27F6tWrUL37t0BAImJiRg0aBBGjhyJ+fPnY+XKlTZLqA12aW22XLly2L17Nx555BHEx8dj6tSpNkvGx+bNm7Fs2TJcddVVvmsZGRkYOXIkiouLbZRMG4wxFBQU4Pz58xg0aBAGDx4MAGjVqhWaN2+OqKgonDhxwmYp1WGXliwBYP369WjdujXOnj2LW2+9FX369EHHjh0xcuRIZGRk2Cypdk6dOoXDhw/j8ssvBwDk5eUhJSUFEyZMwOLFi7FixQqbJVTH/xuIiYlBnTp1cOWVV6JDhw6YPHkyACArK8su8bjIz8/H7t27feHwT548iTfeeAOpqal4//33kZOTY7OE6jDG0K1bN9x7770oV64cGGOIjo5Gbm4ucnJyEBcX5xq/mezsbJw8eRJXXXUVnn/+eQwePBhbtmzBM888gyuvvBLffPON6TKQMsPB4sWL8ddff/mctOrVq4eCggJfB+D9gCZOnIgLFy7ghx9+wPnz522TVw5vPbydm3dtdv369UhPT0d8fDyef/55vPfee1i/fj3eeust7Nmzx06RJQl+Hx06dECVKlUwa9Ys/PDDD3jiiScwevRo/Prrr0hPT8ebb77pUwac1Ens2bMHxcXF8Hg8KF++PIYNG4ZnnnkGERERPjkTExNx/vx5VK9e3WZp5dmzZw8YY/B4PL42tXXrVgDAjBkzAACzZs3C/fffj2+++QYTJ07EkSNHADjrfUyZMgUTJ07EggULfNeaNm2K6tWrY/78+QCAiIiSrnPMmDGIj4/HDz/8gLy8PFvklSO4Hl6ZAWDjxo2+vumjjz7Cjz/+iGuvvRZXX3214/yzpN5Ht27d0KNHD4wYMQLXXnstkpOTkZKSgujoaEyYMAF33nkntmzZYqPUoXz//fcASpXKhIQE3HnnnWjTpk3A9XPnzqF+/foAnOlb5q2H/zcbHx+PgoICvPvuu9i5cycWLlyIL774AgcOHECDBg3w/vvvm9+uLLH/uJw5c+awlJQU1rJlSxYfH89Gjx7Njhw5whhjbNSoUaxVq1a+tF5z4YsvvsjS0tLYmTNn7BBZEql6HD161Pf7rFmz2EMPPeT7d6NGjZjH42HdunVju3fvtkNkSaTqcejQIcZYiXlz9OjRrGPHjqxhw4bsl19+YTt27GDPP/88S09PZ3PnzrVZ+lLee+89Vrt2bXbZZZexTp06sQ8//DBgbdnfXD5ixAh2++23M8aY45Zpgusxf/58lpeXxxhj7OWXX2aRkZGsUaNGbN26db575syZw5o3b86++eYbu8QOYc2aNax27dqsXbt27Nprr2Xx8fHs5ptvZnv27GGMMfb444+zRo0asePHjzPGmG/pcu7cuaxy5cqOWcqUqsegQYPYrl27fGkGDx7Mfv75Z8ZYyfJMbGwsK1euHPviiy/sEjsEuXps376dMcZYVlYW27VrF+vSpQt7+eWXffdt2rSJ1a9fn3322Wd2iR7At99+y2rWrMk8Hg/7/fffGWPSfm/eb79Tp07s3XffDbjmBKTq4e//9t577zGPx8MaNWrEMjMzffetWLGC1ahRg61atcpU+UiZUeHdd99lDRs2ZJ988gk7ceIE++ijj1iFChXYn3/+yRhj7Msvv2RNmjRhM2bMYIyV+G0wxtiJEydYbGws++2332yT3R+pelSsWNFXD8YYe/DBB9mbb77Jdu7cyZo3b84SExNZREQEmz9/vo2SB6L2Phgr8Tvp27dviOLSvHnzAH8aO5kxY4avHitXrmTPPPMMi4iIYG+88YZPWSkuLmaFhYWsoKCAtWvXjr399tsh+djtHyBVD4/Hw9544w1WWFjItm3bxlq3bs3q1q3rmwB4qVmzpqMczR999FF2/fXXM8ZKnuuWLVtYnTp12P3338/Onj3LVq9ezdq1a+dzmPV24kuXLmXVq1dnf/31l22y+yNXjwceeIAdPnyYMcbY7bffzu644w7WoUMHlpSUxJ577jmWmJgYoBTYjVI9vJOwdevWscaNG7PMzEzf+ygsLHRMXX777Td2zTXXsAcffJBde+21rH379orp9+3bx5KSknwKG2PMp0zb+a1rqcfff//NevbsyZo1a8aOHTvmu56Tk8MqVqzIPv/8c1NlJGVGBu9AMnToUHbHHXcE/NaoUSO2ceNGxhhjGRkZbOzYsSwtLS2gs168eDGrXbt2wCBrB2r18HbABQUF7OGHH2bR0dGsXLly7IEHHmAnT55ko0aNYg0aNGAnT560Q3wfavXwf85Hjx5liYmJPsezwsJCdvbsWda+fXv2wgsvWCq3FBcuXGB9+vRhEydOZIyVDordu3dnderUYV999VXA9WPHjrFatWr5OrhNmzaxO++803K5g1GqR1paGvv2228ZY4xNmzaNRUZGBsyUMzMzWcuWLR2hKBcXF7OzZ8+ybt26sccff5wxVjpwzJ49m7Vt25a99dZbjDHGXn31VRYXF8cWLlzosz49//zzrGfPnrbPotXqcdlll7HXX3+dMcbYgAEDWJUqVdiYMWN8Cs6LL77IPB4P27dvny3ye9FSD+/kcfv27czj8bANGzb47l+0aBFr166dr4+2A29b2LlzJ5s+fTrbu3cvW79+PYuLi/NZXaSUkzfffJO1a9eOMcbYxo0bWceOHVlSUhIrKCiwTng/tNSjsLDQ9/+vvvqKxcTEsIkTJ/ra1aeffso6d+7ss2iaBSkzKrRp04bde++9vt0KDz30EGvcuDGbNGmSz2y2Z88e1rlzZ9amTRs2f/58tmvXLjZ48GDWu3dvx3ika6nHe++9x0aOHMnWr1/vu+/QoUMsNjY2YNeAnSjV448//mAXLlxgeXl5rFWrVuzaa69lf/31F9u/fz+75557WNOmTdnWrVttrkHJjoUqVaqwjz/+mDFWulxx8803s9TUVDZ8+PAAM+28efNY9+7dWVZWFrv77rtZuXLlWP/+/VlRUZGtA6haPe644w525swZdv78eTZgwACWlpbGJk6cyDZt2sTuuece1rZt24BlTivZsGEDO3v2bMC19u3b+3Ymei2s+fn5bODAgezGG29kR44cYfn5+eyJJ55g8fHxrEePHuyWW25hsbGx7I033mCMWb8sIFKPM2fOsM2bN7MtW7YE3Jebm8umTZtmiwWAtx433XQTO3DgALtw4QK77bbbWFxcHLv//vvZ8OHDWXx8PHvmmWds+Tak6uEd7AsKCthjjz3GkpKSfPXx4pX1oYceYoMGDWKPPPIIi4iIYPfcc09IWivgrYd/m3nttddYamoqa9y4MRswYACrUKGCJZNIUmYu8dlnn7F7772XzZgxg23evNl3fcGCBaxOnTqsb9++rGrVqqxJkybs2WefZb169WKtWrViL774ImOsxEJzzTXXsKZNm7KaNWuyrl272jLDEalHixYt2CuvvMIYK22w/gQ3aisQqUfr1q1972PFihUsKSmJNWrUiNWqVYv16tUrwGfA7noMGTKENWnSxDd7mT9/PuvVqxe79957WaNGjdimTZt8aQcPHswiIyNZfHw8a9++Pfvnn3+sroZQPdLT0331yM/PZ2PHjmWXXXYZa9y4MevRo4ctflhffPEFq1WrFmvQoAGrXbs2e+aZZ3yyz5w5k1WsWNE3AfFaXr788ktWq1Ytn58AY4x9/vnnbOLEiez++++35X2I1qNmzZqm+y7woOd9eOtx4cIFNn78eHbXXXex4cOHsx07djiiHt6lFn+/kr1797K0tDT22GOP+X7zUlRUxOrUqcM8Hg/r2bMn27Ztm2vqEawAr169ms2ePZtNmDDBsvdR5pWZkydPskGDBrGUlBR2//33s27durHU1FQ2Z84cX5rMzEz23//+l/Xo0YNlZWX5rt93331swIABAQ6Bx44dC5nxWIER9bB7KYkx/fW46aabfPU4cOAAW7t2LVu7dq3V1ZCsR40aNdiHH37IGCsx29avX5/Vr1+fpaamsri4OPbll18yxhiLiopi3333HWOspAMZMmQIq1u3ru+aG+vh5fz587Y5k69bt87n3/bXX3+x2bNns6SkJPbAAw+ws2fPsgMHDrAGDRr4rAH+jtZVq1Zl7733ni1yB0P1KKmHd5nDi11LMUr1OHXqFGOsdJJYXFzMZs+ezaKiotjevXsZYyVK2oULF1hOTg6bMmUK++mnn1xbD//+2GrKvDLz+eefs44dO/pmA4wx1r9/f1avXj22cOFCxljJRzJ48GD2/PPPM8ZKZwiPPvooa9CgATt//jxjzF7PcyPq4YQlMSPfh53I1aNu3bps0aJFjLGSJbyffvqJzZ0719dRZ2ZmhuzE2Llzp6Wy+6O3HmY7/WnB+12++eabrFatWuzcuXO+32bNmsU6duzIpk6dyhhj7I033mCRkZFs+fLlvjR79uxhDRo08ClpdkH1KMEt9bj88svZc889F3LfqVOnWJcuXVj//v3Zhg0bWJ8+fQKCMVqNUfXo27cvmzdvnm3jYJlXZgYMGMAGDhzIGCsJkc0YYx988AHzeDzsqquu8lld+vTpw2666SbffRkZGaxfv37s6aeftl5oCage7qqH1ycm2Dz76aefsiZNmgTsBrCTcKkHY4yNHz+eXXnllQFK+/nz59mYMWPY5Zdfznbs2MGKi4vZsGHDWEpKCps8eTLbtGkTGzVqFGvZsmXIbiy7oHq4px5dunTx+en5L+HPmTOHeTweFhERwfr16+eIiaQR9bAz6n2ZCpq3YsUK/PTTTwGnKaenp2Pbtm0AgIoVKwIAtm/fjiuvvBK5ubn46quvAAATJkzAd999h65du2L06NFo3749srKyMHLkSKoH1UO4HhEREThx4gS2b9+OWbNm4ZFHHsHAgQNRrVo1ywPJhUs9lixZgrFjx2LmzJlYu3at73rXrl2xatUqX+ThoqIiVKhQAf3790dERAS+++47eDwezJ8/H7fccgsWLVqEW265BevWrcNHH32E1NRUqgfVg6seHo8HixcvBgBERkYiPz8fs2fPxj333IMrrrgCmzdvxjfffIO4uLiwqEdsbKxl9QjBNjXKQk6cOMGGDx/OPB4Pa926dYBj7p49e1hSUhLr0aMHe+mll1jnzp1ZvXr12C+//MJat27tO/CLsZItf08++SQbOnSoLQGZqB7hU4///Oc/vrQbNmxgN910E6tXr54t5uZwqcfRo0dZv379WPXq1dmwYcNYy5YtWUJCgu/coZycHNakSRM2cuRIxligNal79+7sgQce8P27qKiIXbhwISDeh1VQPcKrHv4HeWZkZLCHH37YluCd4VIPOcJemSkoKGCzZ89mV199NVuwYAGLi4tjU6dODdjutnLlSnbfffexdu3asQcffJCdOHGCMcbYHXfcwW6++Wa7RA+A6hHe9bArJka41OPChQvszjvvZLfddpvPIZExxjp06MDuuusuxliJefzDDz9kERERATuTGGNs2LBhvhOXGbPP/43qUUK41sMuwqUeSoS9MsNYyTYxb9j0yZMns6SkpICtr168jqSMMXb8+HHWokULn5Op3ZFWGaN6hGM97NqB4U+41GPkyJHshx9+YIyVyjN58mTWqVMnX5rc3Fw2YMAA1rRpU7Zs2TJWXFzMjh07xjp27BiyO8YuqB5UDzMIl3rIUSaUmWCtPjU1lY0cOdK3jcz/95ycHJafn++L/OkfU8NuqB5UDzMIl3r4b931ynz77bez++67L+BaTk4O69mzJ6tevTrr27cvS01NZZdffjk7ePCg9UJLQPWgephBuNRDjjKhzHjxziw/++wzFhUVxRYvXhzw++HDh9ns2bNZ+/btAyKbOg2qh7OgejiX7t27+2IUeY/EYKxkzX/x4sXshRdeYB999JGNEmqD6uEsqB7Oo0wpM/507tyZ9e7d27fV17vF9OOPP3bEAWVaoXo4C6qHc9izZw9LTk4OOJ7Df6nMLVA9nAXVw5mUOWXGu1a4detWFhkZyWbOnMnGjh3L2rVrZ0vkXlGoHs6C6uEcvObyuXPnsgYNGviuT5o0id1///2mH3hnFFQPZ0H1cDZlTpnxp0OHDszj8bA6deqwH3/80W5xhKF6OAuqhzMYM2YMGz9+PFu8eDGrW7cuq169um2h4vVA9XAWVA9nUiaVmd27d7MWLVoEHGPuRqgezoLq4RxycnJYw4YNmcfjYTExMb4DSN0G1cNZUD2cS5R94frsIzIyEjfffDOefPJJeyMW6oTq4SyoHs6hfPnyqFu3Lvr06YPp06ejfPnydoskBNXDWVA9nIuHMYtjjRMEQVhAUVERIiMj7RZDN1QPZ0H1cCakzBAEQRAE4WrK1EGTBEEQBEGEH6TMEARBEAThakiZIQiCIAjC1ZAyQxAEQRCEqyFlhiAIgiAIV0PKDEEQBEEQroaUGYIgHMmyZcvg8Xhw9uxZu0UhCMLhUJwZgiAcQc+ePdGmTRvMmDEDAJCfn4/Tp08jOTkZHo/HXuEIgnA0ZfI4A4IgnE90dDRSUlLsFoMgCBdAy0wEQdjOXXfdheXLl2PmzJnweDzweDz44IMPApaZPvjgA1SuXBnffvstGjdujLi4OAwaNAgXLlzA3LlzUbduXSQmJuKhhx5CUVGRL+/8/HyMHz8eNWvWRIUKFdCpUycsW7bMnooSBGEKZJkhCMJ2Zs6ciZ07d6JFixZ49tlnAQDbtm0LSXfx4kW89tprWLBgAbKzszFw4EAMHDgQlStXxvfff4+9e/fi5ptvRrdu3XDbbbcBAEaMGIH9+/djwYIFSE1NxaJFi3DNNddgy5YtSE9Pt7SeBEGYAykzBEHYTkJCAqKjoxEXF+dbWtq+fXtIuoKCArz55pto0KABAGDQoEGYN28ejh8/jooVK6JZs2bo1asXli5dittuuw179uzBJ598gsOHDyM1NRUA8Pjjj+PHH3/EnDlzMGXKFOsqSRCEaZAyQxCEa4iLi/MpMgCQnJyMunXromLFigHXMjMzAQAbN24EYwyNGjUKyCcvLw9Vq1a1RmiCIEyHlBmCIFxDuXLlAv7t8XgkrxUXFwMAiouLERkZiQ0bNiAyMjIgnb8CRBCEuyFlhiAIRxAdHR3guGsEbdu2RVFRETIzM9G9e3dD8yYIwjnQbiaCIBxB3bp1sWbNGuzfvx8nT570WVf00KhRIwwbNgzDhw/HwoULsW/fPqxbtw4vvfQSvv/+ewOkJgjCCZAyQxCEI3j88ccRGRmJZs2aISkpCQcPHjQk3zlz5mD48OF47LHH0LhxY9x4441Ys2YN0tLSDMmfIAj7oQjABEEQBEG4GrLMEARBEAThakiZIQiCIAjC1ZAyQxAEQRCEqyFlhiAIgiAIV0PKDEEQBEEQroaUGYIgCIIgXA0pMwRBEARBuBpSZgiCIAiCcDWkzBAEQRAE4WpImSEIgiAIwtWQMkMQBEEQhKshZYYgCIIgCFfz/6Cu7j+yx+tLAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "moments_ds['centroid_latitude'].plot.line()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.365408"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "moments_ds.nbytes/1e6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/work/bd1022/b381258/ERA5/ERA5_moments@10hPa_NHonly_includingApril.nc\n"
     ]
    }
   ],
   "source": [
    "user = 'b381258'\n",
    "outpath=f'/work/bd1022/{user}/'\n",
    "output = f'{outpath}ERA5/ERA5_moments@10hPa_NHonly_includingApril.nc'\n",
    "print(output)\n",
    "moments_ds.to_netcdf(output)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "1 Python 3 (based on the module python3/2023.01)",
   "language": "python",
   "name": "python3_2023_01"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}