Analysis.ipynb now scratch_pad.ipynb

Analysis(1).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "start_time": "2022-02-16T10:19:38.676Z"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import xarray as xr\n",
    "import numpy as np\n",
    "import shutil\n",
    "import matplotlib.pyplot as plt\n",
    "import pymistral\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import xesmf as xe\n",
    "import climpred\n",
    "import regionmask\n",
    "import esmtools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install git+https://github.com/pangeo-data/climpred.git"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sns.set_context('talk', rc={'fontscale': 0.8})\n",
    "sns.set_context('notebook')#, rc={'fontscale': 1.2})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of CPUs: 256, number of threads: 42, number of workers: 6, processes: False\n"
     ]
    },
    {
     "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-ad57bbfd-6b11-11ed-96a0-080038c02e27</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://136.172.120.75:45037/status\" target=\"_blank\">http://136.172.120.75:45037/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\"></td>\n",
       "            </tr>\n",
       "        \n",
       "\n",
       "        </table>\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;\">74304cd6</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard:</strong> <a href=\"http://136.172.120.75:45037/status\" target=\"_blank\">http://136.172.120.75:45037/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Workers:</strong> 6\n",
       "                </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total threads:</strong> 252\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total memory:</strong> 1.40 TiB\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> False</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-039cb2f4-ff18-4bcb-b1ed-f72920049d02</p>\n",
       "            <table style=\"width: 100%; text-align: left;\">\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Comm:</strong> inproc://136.172.120.75/1758880/1\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Workers:</strong> 6\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard:</strong> <a href=\"http://136.172.120.75:45037/status\" target=\"_blank\">http://136.172.120.75:45037/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total threads:</strong> 252\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> 1.40 TiB\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> inproc://136.172.120.75/1758880/5\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 42\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://136.172.120.75:37227/status\" target=\"_blank\">http://136.172.120.75:37227/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 238.42 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> None\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-8tj8xn0o\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> inproc://136.172.120.75/1758880/4\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 42\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://136.172.120.75:46017/status\" target=\"_blank\">http://136.172.120.75:46017/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 238.42 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> None\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-4r9_qqp0\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> inproc://136.172.120.75/1758880/9\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 42\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://136.172.120.75:46515/status\" target=\"_blank\">http://136.172.120.75:46515/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 238.42 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> None\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-qq28zn3y\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> inproc://136.172.120.75/1758880/7\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 42\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://136.172.120.75:36179/status\" target=\"_blank\">http://136.172.120.75:36179/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 238.42 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> None\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-7rw8iyc4\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> inproc://136.172.120.75/1758880/6\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 42\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://136.172.120.75:36941/status\" target=\"_blank\">http://136.172.120.75:36941/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 238.42 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> None\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-lmdc9brm\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> inproc://136.172.120.75/1758880/8\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 42\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://136.172.120.75:42597/status\" target=\"_blank\">http://136.172.120.75:42597/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 238.42 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> None\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-egi85kp3\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: 'inproc://136.172.120.75/1758880/1' processes=6 threads=252, memory=1.40 TiB>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.distributed import Client\n",
    "import multiprocessing\n",
    "ncpu = multiprocessing.cpu_count()\n",
    "processes = False\n",
    "nworker = 6\n",
    "threads = ncpu // nworker\n",
    "print(\n",
    "    f\"Number of CPUs: {ncpu}, number of threads: {threads}, number of workers: {nworker}, processes: {processes}\",\n",
    ")\n",
    "client = Client(\n",
    "    processes=processes,\n",
    "    threads_per_worker=threads,\n",
    "    n_workers=nworker,\n",
    "    memory_limit=\"256GB\",\n",
    ")\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def clean(ds_regions_all):\n",
    "    # drop empty inits\n",
    "    ds_regions_all = ds_regions_all.where(ds_regions_all.std(\"member\")!=0)\n",
    "\n",
    "    # drop empty members\n",
    "    ds_regions_all = ds_regions_all.where(ds_regions_all!=0)\n",
    "    return ds_regions_all"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Methods\n",
    "1. `DPP` vs `PPP`\n",
    "2. `PPP`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Participants\n",
    "- CanESM: Reinel Sospedra-Alfonso\n",
    "- EC-Earth3: Raffaele Bernardello\n",
    "- IPSL-CM6A-LR: Juliette Mignot\n",
    "- GFDL_ESM2M: Thomas Froelicher\n",
    "- MPI-ESM-LR: Aaron Spring, Hongmei Li, Tatiana Ilyina\n",
    "- NorESM1: Filippa Fransner, Jerry Tjiputra\n",
    "- MIROC-ES2L: Michio Watanabe\n",
    "- CNRM-ESM2-1: Roland Seferian"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Research questions:\n",
    "1. How model-dependent is predictability in the carbon cycle?\n",
    "- DPP: model-dependent variability timescales\n",
    "- PPP: model-dependent initialized prediction skill\n",
    "2. Which physical variables influence carbon cycle predictability? (becomes difficult to visualize with many variables for many models)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# variables\n",
    "- `fgco2`: ocean CO$_2$ flux\n",
    "- `dCO2_ocean`: global diagnosted atm. CO$_2$ from land CO$_2$ fluxes [Spring and Ilyina, 2020]\n",
    "- `npb`: land CO$_2$ flux\n",
    "- `dCO2_land`: global diagnosted atm. CO$_2$ from land CO$_2$ fluxes [Spring and Ilyina, 2020]\n",
    "- `dCO2`: global, diagnosted atm. CO$_2$ from land and ocean CO$_2$ fluxes [Spring and Ilyina, 2020]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# todo:\n",
    "- [x] get control runs for DPP\n",
    "- [x] get initialized per model for PPP\n",
    "- [x] do area sum properly\n",
    "- [x] calc diagnosed global atm. CO2 from monthly\n",
    "- [x] investigate climatology skill\n",
    "- [x] check GFDL magnitudes\n",
    "- [x] set units\n",
    "- [x] set lai EC-Earth to nan\n",
    "- add other models:\n",
    "    - [x] CanESM5\n",
    "    - [x] NorESM\n",
    "    - [x] MIROC\n",
    "- [x] subselect variables really needed (less): see `co2_vars`\n",
    "- [x] detrend `NorESM1`\n",
    "- [ ] mask deserts\n",
    "- [ ] create short story\n",
    "- [ ] make reproducible\n",
    "- [x] get EC-Earth all inits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "recompute=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "ocean_vars = ['tos', 'intpp', 'fgco2', 'sos', 'spco2']#, 'mlotst']\n",
    "land_vars = ['lai','nbp','cLand', 'nep']\n",
    "atm_vars = ['pr','tas','uas','vas']\n",
    "varlist = ocean_vars + land_vars + atm_vars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# use for analysis\n",
    "l_vars = ['nbp','tas','pr']\n",
    "o_vars = ['fgco2','spco2','tos']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "co2_vars = ['co2_flx_ocean','dCO2_ocean','co2_flx_land','dCO2_land','dCO2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_selected_vars = list(set(l_vars+o_vars+co2_vars))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_selected_vars_sorted = [\n",
    "                            'tos','spco2','co2_flx_ocean', 'dCO2_ocean',\n",
    "    'tas','pr','co2_flx_land','dCO2_land',#                        \n",
    "    'dCO2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "models = ['IPSL-CM6A-LR','MPI-ESM1-2-LR','EC-Earth3','GFDL_ESM2M','CanESM5','NorESM1','MIROC-ES2L',\"CNRM-ESM2-1\"] # GFDL doesnt provide cLand"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "models.remove(\"NorESM1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### detrending `NorESM1`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "nor = xr.open_zarr(f'/work/bm1124/m300524/4C_multi_model/NorESM1/initialized.zarr')[varlist]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#climpred.PerfectModelEnsemble(nor).verify(metric=metric, comparison=comparison, dim=dim+['x','y'], skipna=True)[v].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#climpred.PerfectModelEnsemble(nor[v]-nor[v].mean('member').rolling(init=r,center=True).mean()).compute().verify(metric=metric, comparison=comparison, dim=dim+['x','y'], skipna=True)[v].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#nor = nor.weighted(np.cos(np.deg2rad(nor.lat))).sum(['y','x']).compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "cmap='nipy_spectral'\n",
    "v='sos'#'tos'\n",
    "show_members=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':' '}, xlabel='validity time', ylabel='fgco2'>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zqQ88QHjNGqxFRQTWrEFzuzF9PtpmzsSSm4sMh7GkphLeuROkxJKVhXfWLMIeD9GEBOx9+tBosxFqb8fmdBI+6yx0nw/d56OxsREpJcFgkOTkZNra2rDZbJimSTAYxG6349m9Tm3nzp1EIhFcLheZmZnU1dXRvXt3ID4V6nA4cDqdtLS0kJqaevIc9aQoiqIoyolJSknsmWeIbdp08DKxGO0vv4x9yBD8y5eDELgGDUL4fBT86180v/wyub/+NQAhqxVLv35Et26l8Qc/AIsFMxLB9/nnOHr0INbSEh9FKy2l9f33aXjuOVrefZeYz0fre+/RtmwZYZsNh2mSNWQIbrebzHCY9GAQV20t0uPBtmMHCU4nkUgEh8NBTU0Nfr+f1tbWjiSzX/xaVVWF3+/vSKFRU1OD0+kkFAqRkJCA3W5HSkl6ejpJSUk0NTV95eaDo00FaIqiKIpykpPl5YTWr8e7cmV8dKy1da/3jaYm2h57jFh5OUZVFcbuNVqJ48aROGUKtuxsMm+5hfDOnbhHjSLW3IxlyhScEydi1NVRd/nlBGfNwt69O5GdO3GPGIHnjDPQXS4AbHl5FDz8MNa0NKp+8xva169Ha28nbexYtEgE329/S/m4cWwfOxZPezs5vXqRMmwY4UCA3NxcCgoKAPD5fLS0tOD1egmFQkgpqa6uprW1FV3XycvLo76+vmNDWzgcxufzIaUkMTERIQROp5PU1NTjvpNTTXEqiqIoyknOnD6diKaRfPvtRLdvx/vPf2IbOBDn2LFEd+wg8PHHYLHgmjqV4KefEvti/Vnv3lhSUwFInDiRpuefJ/266/AvXkzDU09R/Pzz6FlZBGfORNpsOAoLaX3/fVIuvBApJfX/+AfB0lKyvvc9Ek89lYRRo/CvXIlRUEDqsGEEVq+m6rzziDU2wqhRcMopVDsciB07kElJAFjq60lISCAtLQ2LxdKxliwcDhMIBPD5fAghKCgowO/3Y7Va8Xg8WK1W0tLSaGtrIxaL4XQ6O/pDrUFTFEVRFOW4kpEI0U8/xUhIILx8OQkXXohj+HACc+fScNdd2Pr3x3Xuufg/+AAzGMT/8ccd689cgwZ11CPsdlKnTqV59mySp0yh9f33afvwQ9xjx5J2xRXUPfccKRdcgGvwYITVClIS3LgRS3o6jv798c6ZQ6ylhZRp0zCam2n46U/xL1sGgOPmmwldffX/2gxgGOi6TiwWo7W1ldZ9Rv062rU7OAuFQuTk5GCaZsf6MiEEycnJJ2QyexWgKYqiKMpJSEajCKsVuX494epqtN69iW7ZghkKoSUkYM3NhVgM1xlnEN20CeF2o9lsROrqwOHAOWAA9qKivep0jhiBZdYsnGefTetHH9H4/PMkPvMM9f/6F3pGBk0vvEDh448D0D5/Po4BA0gYOpRt551HtKpqvzZasrLI+NOfqOvaFXanz3D6fNTfdx/hOXMwLBZy/v539NNP7xgtA3C5XDidzo6cZz6fD5vNdtDjm0604AxUgKYoiqIoJx3T56PlhhtI+sMf0KZPJxSLkTB1KjISIbJ+PfaBAwnMno374osJLV6M2dAQT3mRm0ts99qsxDFj0BMS9qrX2rUr7l698K9eTfo119D4zDO0vPEGiWecQXR3sviW//6XlKlTMVpaiGzbRvlTTwFg69IFR48e2AoKsObloWdnY584kYq2NsxIhNTUVMzNm6m228n+858JPfooTc8+ix4KdQRfhYWFtLa2Eo1G8fv9+Hw+MjMzMQwD1+71bt8UKkBTFEVRlJNMZNYs5Nq1+B5+GEd1NYbVinPyZIzqaoKffRZPfZGXh+v006m/8UZso0djKy4m8MEHHevPnAdIxyE0jaRrrsGyaRORmhqaX3uN1vffJ+O224jNnUvKxRcjNI26xx+n4Z//REaj6Ckp5P7yl2geD6FNmxBTp9IUCJCTnExtIEAkEsHtdmPfvh1vaytu0yRsmoQvuoiuF10UDxStVtra2mhubsbv9xOJRID4IegWiwXTNL9xxxCqAE1RFEVRTjLR55/HFgoRe+892u127BMmINatw5KXh9HSQuCTT0j+/vcxmpqQhgGhEJaiIgLz52PsXr/lHj36gHVbsrJITE1l1333kfm971H75z+z6667sKSnU/fXvyJ3B08IQdp115F81lk0zZ9PJBgkpV8/6mtryRo4kPZoFH9zM1arldTERIxQiFhaGpGFCwlXVGCmplKdmEiu3w+AaZq0t7ej6zrZ2dnU1NQAdKTXONj05onqm9VaRVEURTnJSNNEHMFzIc3ycmJLl2Lv0QPL6tU0tLSQ2rUrWCxgtYKug66jpaUR+PRTEq+9Ft+LL9L805/GNwcIgbNvX+xduhz0HsJqxT1kCDIaxZKeTnjbNsLbtgHxnZ8Jo0aRNGkS9pISrBkZVKxfj3bOOQTr6tATEpC6TnNdHZqmkZuZSf2MGVBQgCEl6UOGIEpLsWVnU1dfH69z9+iYy+XqODnA6XRimiaBQICUlJQj1n/HigrQFEVRFOUEJbdtQ372Gdx88xFZyC6lxHjsMQwpsV5yCWHDIHnSJJxpaZjf/z5Eo9juuw+zvZ3QokUYtbU033YbpteLcDqxnn46zJ5NwpgxaF8xIuUeOJDGV18l94EHiFZX4+jVC2tWFv6lS/EtXUpw/Xo8U6fS8NRTGFlZUFpKc9euFJWUUL579Cs/P5/qnTtxlJQQq67G6fWSkJuLWVJCtL6ehLo6wqEQSUlJe+UtCwaDpKam0tbWRjgc/satPwMVoCmKoijKCUuuW4esrkbU1UF29tevp7UVIhHMrVuJLV+OdcQItG7dcAwYgPzLX5CtrcSAkN1O9N13Ca9fT3jNGth9qLjrnHNIuP12ap94AgBn//5feU97SQl6QgJ1f/sbmtWKvVs33MOHE21sRFitWIuLqfrFLwg0NWG/5hrMDz8k54wzqGlpQUpJRkYGLU1N2GprcdXU4Bo0iMQePQiuWkV4/XqCmzbhGjwYu9NJW1sbKSkpCCEwDINIJEJycjJWqxWv13vcj236OlSApiiKoignIGkYyC1bEIMGIdeuRRxCgCZLS6GkBLF7VEnOmoW5bRs0N2N4PCRMmIA5eTIAMcCbkUF7czOEw/Dss/FKhMDWvz9Jt99OYNs2wlVV+JcsAcA9YsRXtkGz23EUF5Nw6qmESkuxFRXR/PbbJI4fT+Z3v0vTK68Q2rAB/dpribW04Lz0UkJSdkxP2iwWmmtqSF21irRLLsHZuzcA1tNOI3HsWNpmzaLl9ddJv/lmmtvaCAQCuN1uAoEADocDTdOw2Wykp6d3vtNPICpAUxRFUZQTUVkZItmD6NcF893ZyEmTOrUWTTY1Yb7yCtqll0KfPshQiNiaNUSXLIH0dKwXX4x5660YgHfAANpLS5ENDfHEs+edh2P0aPSMDNB1rIMG0fCDHxC22UhITcX0+3H06YOjV69OPYKjVy+ijY3Y8/OJ1teTdPrp2AoKqJk/HwvQ7ZVXqPT7IRYjweOhoqICTdPITEmhatEi9LY2sm+4AVt+/l71CouF5DPPJHHUKHSbjZSUFBobG7HZbB0Hp3/TqbM4FUVRFOUEJDdtgvxERO1niIQEKCvr3OdWrID0dOTKlfELGzYQqagg4nYjCgvR//EPQsEgVVYr3rVrkeEw7osvJvM//8GSlUXbs8/S+s9/YjQ10f6f/xANhci45RZq//QnADJvvx2tk+dUOnr0wPT7Sb3qKnSPB8/kydiys3EVFOC84w5Mj4dgMEh6ejqVlZUA5OXl4W1rQ/j9ZA4atF9wtifd4wHAYrGQmJhIc3MzwDdySnNfKkBTFEVRlBOMNE3k5s2I3ESI+KBbNnLt2q/+XDSKXL0a7dJLkVVVyLY2zFWrMFpbsQ8ciN1ux1y8mGaLBRmN4pw4kcznn8fi8RB98knCa9ZgNjWhJyQQXrkS77vvknD22dT+/e/IcJi0q6/Gv3Bhp59Dcziw5efT8uabeCZPJnHMGJKnTCFt2jScmZnU1taSmppKdXU1UkpSU1MJBoPoTieeU07Bs3taszNcLhc2m42EhIQT8mSAQ6WmOBVFURTlRLNrFyQlISxBcKUj3Brm8k1IbwNizbPQ7xJIKdr/cxs2IPLyEJmZiL59kZ9/jiwrw2hpwd2rF+bVVxMAorEYlvx83BdfjP/999GrqjBNE2w2sp99FuF20/7OO1gGD0YmJBBYvhxrXh7O3r0xWloO6VGcvXsTa27GPXw4EN9JGg6HiUQiSCkJBAKEQiHsdjtut7sj+380Gj2kQ8uFEN/IdBoHowI0RVEURTnByI0bEb17g281FI1DlM1FOPzw+m8gPQKO5AN/btkyxPjxAIjBgzF+/3tkejq2M85A/uEPyGiUtuRkaG3Fc/fd2E85hUS7nVBzM22vvoprwADcU6YA4JwwgcCKFZTu3kyQ98ADND33HNn33ntIz+IcOBBHr16I3Wk5hBB4PB7a2towDIPq6up4vrPcXOrr60lNTcXtdn8rRsEOh5riVBRFUZQTiJQSuWkTokcJsnoL8oN/QdlsRLaObEtEpoxA2pP2/1x1NdLvh5KS+OucHGRNDTIWw9HeDmvW4M/IINraiqVrV6wDB2LfuhUjGCTc3o5n8mQ8l1zSUZ8ZCLDrRz9CRiKkXXstvkWLcI8ZQ+LuALCzhBBo+xyzZJompmlSXV0NxPOd1dfXo+s6aWlpJ31wBipAUxRFUZQTS2UlOBwIl4S1SzHfegGZWARDJ2BuXov57grYsKGjuAwG44HYsmWIYcM6dnqK8nJIS0Pr3x/5pz8hgbbdo1jJd98Ns2cTXrOG9mXLcAUCOM89F33cuI566598ksCKFVjz80k45RRCW7aQdccdh32qgZQSn89HRUUFAJmZmbS1tWG32/F4PHslnD2ZqSlORVEURTmByI0bEX36QMtOZEoPxDWXwZYPEW07EI27kJWbkUtKELuTxcoFCzBXrULEYmh33fW/elavRpx5JvLnPwfTxDdpErGZM7H27o0WjWLMmEE4JYXEK67AeuGFCLd7r3bE6uoAyPvtb6n/xz/I/N73sOzeNXk4TNOkpqaGWCxGYmIiLperY0rzm3Ze5tGkRtAURVEU5QTRMb3Zuzc0bUV0T0Pb9isYejrSngf+GuhzCrIxGk9kKyVy3br4pgKnE+rqMOfMwXjmGcxPP4U5c2DLFszevWnbPermufNO2p9/Hjl2LJ7HHsN29dX7BWcAuQ88QPfp02l57z2cAwaQdIhTmwdTV1eH3+/HarWSl5dHJBLB4/EQjUY7ztRUVICmKIqiKCeOmhrQNMjMRAorYtmTEA0gPvslwrsB7XePIiJ1EGqPB2Xl5ZiBALK0FPOzz5Bz5kAshgyHEaecgvz738FiwX/mmRg1NdgGDUI0NZF4550k/+lPWHavVzsQaRjUP/EE0u/HPWQI1qysI/KIGRkZJCcnU1BQgJQSh8OBlBLTNNUI2h5UTyiKoijKCULOeB6RnoBo24X014IRgcy+EGiC8nmImlVoV/4Rc1kEc9kysFph+3bEwIFIjwdx6aXxiioqMH/2s/j3991H27/+BYDnttswA4GOY5O+jGa1IoPB+M7OoUOP2DNarVYSEhLQdZ329nacTifNzc04nU61OWAPx2QETQiRJoT4SAhRKoRYK4R4WwiRcYByuhDi70KI7UKIbUKIm45F+xRFURTluJMSNq9EWKqhYjFi45vxy6f8CLPrvdD3Yoj4EB/ejp46G2IRzA8/REQiaFdfjT5gAHL1aszPP4fZs6GyEjFiBMGuXTHq6rD26oVRUwOApWvXr2yO4fNhy89HS0rqVEB3KHRdx+fzEQwGkVLi8XhIStp/Z+rJ7FhNcUrgYSllTynlAGA78NAByl0JlADdgdHA/UKIomPURkVRFEU5bmSwFdnig7E3gBmFisVgS4DE3sglH2BUFSKn/RscHmRyIXLVGliwAPr0QfTrhxg6FLO9HTl3LvKFF8DpRD74IIGZMwFIuOwyCAYhFouftfkVrGlpJJ97Lu5BgzpymB0pmqZhGAY5OTmkpKRgt9vV6Nk+jkmAJqVsllLO2ePSYqDwAEUvA56SUppSygbgHeCSfQsJIZKFEEV7fgEHP6xLURRFUU50NVvAmYww25D1GwEw1pcQm3QpFJwHuXmYM1dgjn8WmXMlcutWsFjAbkc2NCCbmuCBB5APPwxCoP3tb4R27sT/zjsAWAsKsPbrh7Vr104FQzIaJbhhA67Bg4/4o7pcLhwOh9oU8CWO+SYBIYQG3Aa8d4C3uwDle7zeBRQcoNwPgLJ9vuYd0YYqiqIoyrG0cwMiryg+jbn2JWQ7mP9dH19P9oO7kX95CdFtDELUYc6cC9u2wciRYLMh338fY+xY5OLFkJ+P/t//YkybhhEIIP1+HKNHY2zaBFYr1uLiTjVHGgZJp52GJTX1iD+q3+9XpwV8heOxi/MxwAc8fhh1/A0o3udr7GG3TFEURVGOE7lrK6Sngb8e2iowN3ggGkMMGwb5+cgVKzAuuwrjxdUImw1tyhSEz4d85hnMm28GrxdxwQWIBx6Anj2JvvsugenTAXBfcAGa00msvLxT688gftD50Rg9k1LidrtxOp1HvO5vk2O6i1MI8Wfi68umSCnNAxTZRXzqc9nu1/uOqAEgpWwFWvep+0g2VVEURVGOPn8DBJoh2AxblsLASbD5fWQUzKURAMRtt0EkAtu2IR99FPnkk8h963E60R58EDMYhCVLMLt2xdD1eICm61i6dME+YgSBDz5APwLJZg+HEEJNbXbCMQvQhBAPAkOBc6WU4YMUewO4WQjxNpAGnA+MO0hZRVEURTkxRYOw4t8w/LugWw9cpmYNbP8UEnPBiEJQh6x+MO93mGsBbxAxYgTmkvngC0H/AWhvv4p88z0QAlFcDAUFYLUis7Iw//IXSEtDv/FGQu+/j5GZCYaB6+yzcU6aRHTzZqydHD1Tjr9jlWajL/AzIBdYKIRYLYT47+73PhJCDNtd9AVgB7CV+EaCB6SUO45FGxVFURTliPFWxnOXNW078PvBFtjyEWT0hn6XItN7IkU2wlqOjAQwV8an/8Q110BzFWxfC7NmYf7wx8iKdZCfjf7rX6N95zuwZg2UlsYT3La1IceNI5KY2LE5wH3BBVjS0oiVlakA7RvkmIygSSk3AAecg5RSnrPH9wbxDQSKoiiK8s3VVhH/F7Z+A2Tuk0PMNGHjf+MpNBY/DpXLQCRDYQliy1uY24C6IHTpggyF0H/8AOYTDyB9Bpw6Dj59D5ldhvHqqwhA+nzw8cfQ1gaZmQR/8hNE9+6EFi1CuFy4p0xBxmJEd+3CfdFFx74vlK9FHfWkKIqiKEda3QLwBKFpS3z6ck+7FoCmg68WMvpASxlsnIk2Kg/K5mAuif/TrH33u8gNG8DjAWc+WoET619+jv7h+2h9+kFlJfTti3b66UiHAwoLMaZOpfWTTzoOOneffz56VhbRHTvQMzLQ1ML8bwwVoCmKoijKkRSugfoFUPI9SMr/3zRn+QLYNhMqF0PRBKhcAhYb9JoGA09DfHQLsgbkThMSE5FZWaBpyPffR7vz+5DSG7nsFbRefdB+eh+isBBWrkSefjokJWGedRbN772HY8oUfK+/DoBr4kRa//Qn/O++i/0IHtekHH0qQFMURVGUI8UMwc5/Q/JgCGyBzF7xaU5/A+ycC0seg7zhULEIQq1w6o+haini03tAmhjlAwAQN9yAfPlltEGD0K69Fq1PH8To05CNHlj/OkJIxEUXIRMSkD/6EUY0SssHH4DVin3UKKKbNqGlp2Pp0QPPbbeR/OMf4xgy5Pj2jXJIVICmKIqiKIcrWAb+LdD4X4i6IeSFBX8DE2jaCqUfgm6HwvFQvRJWPg1jfgIffR/mPwyajjnqj8g5G0HTEBMngseDdu21iMxMAMTIkciqENKVD2EvtLdDTQ1GQQFtTU3gdOL57ndp/vnPAUi84gos+floiYkqFdU30DHNg6YoiqIoJzwjCPohrtVqmwfeReDoA7sqoH0z6JkwLx580bQ1vmNz5B0w/ccw8Mr4aFr5PLAlIM94AvlRKcRi8ZGxbdsQ3bohEhM7biGSkhA9eyJbk8FnYL74HGL0aEhIQDQ34xw/Hu/jjxPdtAlbnz5Y+/TBkp19ZPtGOWbUCJqiKIqifEHGoOox8K3Z45oRn7o8GMMP/nUQ9MKqWVC5AHpdC9EodJ8MmX3jB583bIQl/wfFp8OsX8WDs8Rc5PlPY2xoxXz6GQDEBdOQa9eijR69363E6NHIRYswn3sO7Ywz0EaPxlJQgLVnT6IbN+J/5x205GRS//xngp99hqYSwn5jqRE0RVEURflCYAtoDmiZAa6e8e+9i6BtAaSdC+5++3/Gtx52LYZt7WDVoORMmPvHeEC28S1I6x4fOfMUQaAO3r4GogEoGIUcfB9ywWsIMRZZVQU9emAmuBC1tTBu/zztIjsbMXAgoqQEsTunWXjDBvSUFJp+8AMQgox//Qv/G29g69nz6PaVclSpAE1RFEVRvuBfA8njIFQBLZ9B2jnQ+B5obmidA4HNkHru3lOgjW/B1l2gWSCzG9hT48FZUj5Y7PHpzY++D0l54K2Kf2bwtcj88zH/8htk76Gw6B0AtOuvRza1QU4OWlraAZuoTZ6892u7nYY77gAg9f77O87ftPbqdUS7Rjm2VICmKIqiKBCfqgyVQ/qF4OwB1X8HW058fZmeAFnXxEfUqh4HZxEknw7RZmhZA10vgj6jIRaAF+LBEv3zof8PoKoZFjwCzdtAaDDpQWjZhVy2DDGoB6QPwpz+FNjtyN69YeXK+AHpnWB6vdRdcQWyvZ2ESy9FJiSQ/uijhGbPRktNPWpdpRx9KkBTFEVRFAD/+nhg1joXEgZD8iSoeAgsHsi+IT7Nac+DSAP4VkHj+2D4IPlyEH+HrX+NH1QYApIBx2KIlgJZcPZfkd46MB1Q+zlCGsjKWiiwIjfHTzQUl12GSEpCrl2L+O1vO9Vk4XbjvugiAh9/jOucc7B264budmO2tWHt3v0odZRyLKhNAoqiKIoC4FsNtlyo+BNsvQ28y6B9JVhSIf18sKZCqAzMAGRcEi+reyD6GfhWQCQJdu1OZzH+Vij+G6RfDEYIbG6omIf5zN+hPoTsdyM0liFdA5HPPQeAGD8emZICpono06dTTRa6TuI115B6//1Ey8qwDxuG6fMRq61FP8gUqfLNoEbQFEVRFCVSH5/i9K0D3Q3uAdA6O/5r8unxnZ3O7iAjkDASGl6FcFU8UNt+J2guqBsJcgYMvhYqtkKoFPK/C2k7ARBF49AmFmMuXoFwf4QZ8KP57cjGRhg4EHPbNsTChfFNAFrnx0+Ey0WsthZ7374YDQ343ngD+5AhB13DpnwzqBE0RVEURfGtAXsB+FeA7gJbNsSa4xsGtt4MO34MtU+Dqz+EdoCtD3T5Bey8L/55521QOgOsLug6Fly50O060GyQMzieZiO9FzjqIBbCLIshep6LfC1+JJN29dWI/v1B12HChENquq2wEKHrSE3D9+qruM89F9dpp6nktN9wKkBTFEVRTm7SBP9aMNpBAgnDwF4IaefB9h/Ey+geaJ0FO38B9i5g9ITyn8XXoKVeDEtmxcudcjdsehtOeRhMD5R9BpvehaqlUL8OkVyAuPInyDnLECUlyHnzICEBmZ2Nftll6L/6Fdqppx5S82M1NYTmz8eorSXpxhtVeo1vCTXFqSiKopy0zFg5pm8mFqFBtBFiTZA4FPwbYPtd8ULFD4GrH5T/CnwrYct1kHwatC8HRxHsTIXa1ZBcCImZ4I9BxQJoKYfMftDjbMgeAK3lEGhC5veMH4Y+dy4A2lVXgcsVn9bMyzvkZ4iWlWHr2xfPzTcjbLYj1jfK8aUCNEVRFOXk0fgOJA4Dez4ARmQhWrApfmamvQsEt4N/I2y7PV6+68MQaYqn3Mi+CdrmQMPr0PQeoAPXwdL7QbfCGQ/C/L9BfhGEy2DkXfE8aACudNg+E1KKEZ9MR7viCszvfAc0DUaNQuvf/2s/kvOUU3CecsrX/rxyYlJTnIqiKMrJIVIf36nZvhIAaTRiRncggo1gBKB9BXjG/C84K/49uPpAtB4yL4XQTnBMhoJfxfOipf4YPv1zvOzEB2HR/4EjEUb9FNIBbY81YDY3ZPRGuvKRtbXIV18Fw0Bcfz3m5s1QXHwse0L5BlABmqIoinJyaF8GUoJ3EdIMEA08j2xfgfR9BpE6cPeCnb8EJHT5OVizoelDSD0TrMNhyxpY+ybMWwhFn8CcDyHig36XQuN6CHlhwi8hc2h8DVv7ir3v3/sCzJ3R+IHnb78NTidi8GC0IUMQun5cukQ5cakATVEURfnGkVIiZbDzHzBD4FuFlD7M4DKiDfdhRJdj8ccQsQhkXQmBjRAuh4RB4Bkb3zig2SDohnUvQ8G50LQZcobCkqegfj2k94SuYyDQBgWj4js2Ib7707swftD6F232B5BNTZh//SsA4vvfx9y8Ga3fAc73VE56KkBTFEVRvjGkNDGjG4kF/k3U9wjS9Hbug741SM2BoVUhLanogQgWy9lo3rWQeVU8v1nlo4AGRQ9Cy0wwo+AeBNXTQVRAcztoSZBSDKufA6sTTv85NG2LrzHrcio4k+P3s2VD9vUg/jcyZr7yCiIYRC5cCBkZ0K0b2u5fFWVfapOAoiiKcsKTMooZXY0RWYQQbnTbGEyjEiM8G4tz2ld9GNqXYsoqcA1BSxmDWXYLesxAWhzIlHFopXcCBuTeCQgIbIKE4WBJguZaiBnQMx0Svg/TfxKv94zfw4ZnoPB8GDgBbM6972vd5yzMKVMwTzsNAO2eezAXLkS75Ra181I5IBWgKYqiKCc8IzwXaezC4jgfzdIFAGEpJup7DNOoQ9Oz9vuMlBFkbAdazIpp+pGRrehZP8SUdQjDhPalyOL7EQ3Px1Nm2PPjB6X714E1Mx6cBUrBG4NR34XWhbCrBgKNUDQe2taASIJeUyGl6Ksf4t13YcsW6N4dKSXaaaehjRp1hHtK+bZQU5yKoijKCU+atei2MR3BGYAQDnT7OIzwjAN+xggvJBp4HrPlbQy9Ds3aG6z5mC0vgaMXMuMiooEH0XY9Ef9A0YMQbYC2ufFzNmUMRFeIRSF/PNj6woqn4ik1Rt0AG9+DHtM6FZzJ9nbM++8HQLv7buTmzYgrrjjcblG+xVSApiiKopzwpNmI0NP3u65ZhyHNZszY9r3LyxCRwCsYwUVEW/+BGduOtJYgy+5Er/8cmXwOEdsCbJXrERJk2jnxA8+bP4KEofE1aZoNWmOQVhI/bWD27+KVn/Ij2PQK2BKh3+Wde4Dt28FuR4wahblzJ9p3voOmdm4qX0IFaIqiKMoJTcooUWM7YZr+d81sIep/DohgsU/CCM9AhqriiWZljFhwBjK6AhGox7RE0Ro/R1bdhxGagVn8R2LMwr51OnoIpDUDkXF1fK2axQO2fDDDkDYFqldD3mhY8hjUrYtvEMjpCQ3V0H18fKNAJ4hBgxCPPIK4+27w+dAGDz46naV8a6gATVEURTlhSRmlLfYyYa0OXSR2XDfCM5GylVjwfdB7AVZk83PQ9CFm+YMYVfeih+xYowOwBbPQZS5m0c8R3T+Bxv9g2/YqmgEysT+y59PgXQyOAhBuaPoveE4BkQatuyAlH+b8Nn7jM/4Ai/4ELicUTzi0Z6mtxfzjH9H690ek7z8aqCh7UpsEFEVRlBNSTDbSYr6BxQySoJ+PVWQDYMYqMGJlaHou0tiFjK1Bt0/GDFxHNG0qsfAMdGsBWuL5RCPvIfThaJZeaFox2pYb0JriZ2AaWZMhaRJm0+NoRjY4xgPlkDw2/lWxEnIGwoK/QsQPfS+GmtXQ3g6pqZAx5JCeR7PZMLt0QQwdeoR7Svk2UgGaoiiKcsIJmutokx+TKCZil22gx49NklJihD9Bs3RDxsqR0k8s+BZW19XIaBOx2AyEnoVw9iPSfntHfVoIHHWgRUEKiHWZhrANJRZ4Fms4EVwDIVQWz11mTYl/qHIpZPWDmT+PT2WO+zm8ezOc9yQ4GsHT55CeSaalQVoaQiWmVTpBTXEqiqIoR8x83qKRqsOqw5B+mswXSBVX49aGgmwiRCVBcx1mbD0gQQp0+1iszkuRZiuhph+CtQDNNhLNmkvU9wAgsLp/jSN4Hs4qDS0Khk0QKZmKZnbDsAUQCcMg1g7CCllX/S8489UBAja9G389+Lr4Ds6svlByBhReA5r1kJ5Ly81FO/10hMNxWP2jnBxUgKYoiqIcESYm7/AoXhoPqx6/uYywLANhAhCOrSRgLESLtGCEZ6HZJiON7WiWEoSlGKH3gVg9JJ0KxmZi/scBK3b3o9jL52Op+gAhTWTundB/FhafG9rnoDl7oll6omkFkHsr2DL/14jatZDeHda8CEJA97OhsRSG3hxPs/E1CI8HbcyYw+ob5eRxTAI0IcSfhRBlQggphDjg2K4Q4n4hRL0QYvXur78fi7YpiqIoR0YlW6mlDAeJBy0jpaTdnIspIwct45OfYxXZBOUaAuZ6wrHFuANVGN57MSMbQVjQrEOI+p8m0v57MEvR3P2I8iZG8GUQbhyel7HufANaZ4E1A9nzPxi6gLKfIBo/RtqyERUvYKmZj0idHN8g8L9Gxndsls8HIwK9L4C6tZBaAvkjvnb/iD59EAUFX11QUTh2a9DeAR4F5n1FueellD8++s1RFEVRjrR5vIEdJ5nsH4RIGSPCLrzmbFrN98jTf41L7L/IXkqDoFxDirgErzEHi2khMWaiW3sgLBejCSuRtrswQu8Acv9GaOnYPU+htzVA2zywZmD2fgrD+1/0hjlIowGppyJtKejShii4B5zFe9ex8jmwumD5v+Kve58Pm9+D4bd97dEzRTlUxyRAk1LOBxBCHIvbKYqiKMfBBj4nnQK8NJFKNlKahORGAnINEXZhIY2AuY6w3Eqz8RYubf8ALSg3YsowPhYTMFeRG+qBRe+KbhtO1PcI0ejS3SVtWJwXI/QShOYG3AhpQwoNEZWI8gcBkIU/x7Tp6CGJNBoRllSwd0XoIPIfBcsBRvvWvADdJ0OoFbqcArXrwJECRWOPWt8pyr5OtF2clwshJgO1wK+llIsOVEgIkQwk73M5/+g2TVEURTkYP+30YhR2XESkn4BcS7uchU4ybjGcFHEhIbmZsNiGkHba5Lvk8+B+9bTLOWjCTcTcQELMQTS2EafzXsItFwImiFSs7lsQ1iEYoXnolm5YXFfBrgcxgp9j5p6F3lIJ4XJwD8B0Z6IbqchwJVicYMvDdNjQ8u5HHCg4M00Y8B2Yu7ttg64DmxsKT1WjZ8oxdSJtEngSKJZSDgD+BLwrhEg7SNkfAGX7fH3V9KmiKIpylCziHdLI4xnu45fiPEwipGiXkapdgU0UIrDgNWcTlY2kcjkxGvDF9v8/eLsxj2hsDYm+UtzRbOyu7xH2/QYwCTv6Yk95ASOyFCOyDItjNBbXVQgzjBnZhLAVYNEHISr+BIDsci+ayIWGt5FGLXR9GDMxDTIvRLOWHPhBhIin1GjdCWndwWKHPhdCcuHR6zxFOYATZgRNSlm7x/czhBAVQD9g7gGK/w14dp9r+aggTVEU5bjYxkpaqAHgNHkFbjEIv1xOs3wJDSdOBiHQMGkl3XIDrbF3qTUfoYQ3OuoIGBsJsJR0cyS2xNNp19ZhBL5PRrSJmIAKdyk9jVpMowpdz0azXgcIzPA2pFmH8FyGXvkSmH5Im4Z0dENr+RwzuBaZMhJL+vWYngkIS/aXP8zCv8Z/Hf5dkAZYVVoM5dj70gBNCJENPAOcAmwAfiylXLjH+14pZdKRaIgQIk9KWbX7+0FAEVB6oLJSylagdZ/PH4lmKIqiKIeonRZyKeFDnkAgOEWeRb18HCuZpGlX02q+Q6t8G41k7KIXVi2DFO0SGswnCMsy7KIYQ3qpMn5GohxAzJ7BDvO7aDEo9sXvEUwcSxf9KojWYk/6K9IsJ9J2DyAhUIPFjKLpaVD7LAgrZvZ1yKZ/IkUXpGxEz38RAM1afNDnAGDnXKheAa508HQBtzqSSTk+vmqK81GgGpgAvA68L4S4Yo/3OxUVCSH+TwhRSXyUa6YQYsPu6x8JIYbtLvZ7IcR6IcQa4Cng6j1H1RRFUZQTT0w2ssJ8HEOGiRJmIKfhkptJ1i4gVb8Cq8hGkEBU1hKTtaSIy2gw/kmCGINAoyH6LFHDS7XxAIZsw6WPo8H8OwIbXQLDsEjQbGOwaqMRLQ9jBj9At/fHlvBd7KlvY038BRqFaJ4r0SoeBSQy9w5EzI+M1iFb/4vM+x7CkvmVzwKAtxpcaTD8Vmgpg9RuR7X/FOVgvmqKcwJQKKUMAauEEJ8BHwkh3FLKpzjgHuf9SSnvAu46wPVz9vj+2k63WlEURTnuwrKcFvNVIsLHPPEJAOPlNKLGDuz61QAY0kdUViJwkKSdRbl5HUG5Gp1U8vW/0WS8wA5zGg7Zhwz9WnaaNwFQaP4Me/ABQEd3XUsscBdW/Sys9vOIBV7F6r4BIZKR0dVYrePQrN2g7WdgSUO4B0Ltv9GEiZE6BEvKNZ1/qIFXQFIuNJRCsAkS8450tylKp3xVgGbZs4yUcq0QYgIwQwhxRKY2FUVRlG+miCwnIvLRtGw28jAO3PQzbbTwCh5jMm5tFF45A7vogVP0ZZdxK1FqEDgxaKbcuI5c7QF0MwObXsBO4wrAIEvcg7P9U0xMLO678IVeoC2hHwnRvlgcpyPNJqKBF9GtA0G4EaYO/nXxRqVfAK1zwNULLf9uhLPk0JfALP0naBr0mhr/VVGOg6/6yVsBnLnnBSnlNuIja7cB7qPTLEVRFOVoCsvwYdcRlGXME/OokPHlwmPlhVhkG+nazYTZQrs5D006kATZYVxGlBoSxHj6WjaQrf0MMKk2f4FPm0Ol8X0MWkkW55MRysWMLERo2WApJuRwkRIrBFoQegG6bSiapS9GeA66/UyE7oSWWfFGJQyBaC3k3Aqu7l9vfbJuje/aTOl62H2kKF/XV42g/RJI2feilLJcCDEeuPGotEpRFEU5aryml3+F/8UPHT9EF/oBywRoZzOLGcIZB3xfSkkNy7DJfKZrTwFwmmGn2vzpXuVsFBOhDIBUcS0OelEXexQhLBTqz1FhfI8W8xUAnGIg+bEbiHovBcCa+CuaY6/hTvge1sBChKUQsbu9uv10NGt/NGkDazZ4FxAfc5CQ+11IHPT1Oyh3KAQa1Poz5bj60gBNSrnkS96rAh444i1SFEVRjqrVxmp66b0OGpwBrGceq5lFVwaSzP4L7E28VLCJFDGIenZRKPMR5mtIIFlcRIQygnJ9R3CWo/0GzUynlXgwZqeEdnM2hfpz1Bi/wCRMF/lHYt4fACEsruuJhj8h4HaQqU8B12Dgf+kuhBAIPROC2yFWBzIKiSPB8EP6tMProKLxUPYZuFIPrx5FOQydmlwXQliFEL/ZfeB5SAixY/dr29FuoKIoinLkSClZFVvFYH3wQcsEaGclM2ikks/3yFO2lZW0Ug9ANUtpkQarxXwALjIyMWknSZxNkeVZUsU1FGmvUKy/SVf9HayyC63iJSykkqCdglP0Il2/gbCxi/zgKIpiP8LiexkZ24xm6YO0DCASW4lbPwtNONEs3dEsBzhoPOaF9mXx71MmQdIROI4pFoT0Hodfj6Ichs4mqn0YGAHcCpQDhcSnP5OAHx6dpimKoihH2k5zJxYsbDe2k61lH3AUbQMLMIhyBtfxIU/Sm9Hk0o3lfEwSaYznO8yRj9FDTOUtfkWmCWnmakAnR/8F1cavEDhpNl/HTgkmbYTYjJOBFFqeIsgKnGIAOqmEjPeRoTnY9WFEgs+DcGJJ/AXR9r8StNjI0C//8geSBjR/Gv/eUQJJgw6/k5q3x6c5FeU46myAdgkwUErZtPt1qRBiJbAGFaApiqJ8Y6yKrcIhHJSZZYxl/9GmID5WM4scujGEyexkPfN5ixSy6MlI6tnFq/wOi6ynSdMJST83GslAK+nabewyX8YqfehSwyrSkQQIy21YyCRZuxCLlkQipwHgN1egB1fhTPgNkbbbALAlPkSL+RqauwRdZmLVviTrv+GH8C4IloKeBPYc0I5A1v/kLpBSdPj1KMph6Oz+4YNtg1Hp+xVFUb4hQjLEemM9tWYtk6yTDrjDcSMLMYhRTH/e5i/k0o0M8lnBdBy4iRKiQe6il7iE/4on6SEhV7ai48HGaTTJFdjIJE3/Di4xBA076doteLTJRNhJJH5gDDHZTHvsPZz6BAz/IyAD6M4rMfU+mI7h+MQmXJYz92tfByMQPzUgXBl/nTIRbF2OTEcVjYufx6kox1FnA7Q3iJ8icKYQorcQ4izgHeKnCyiKoignkK3GVgxp7Hd9nbGOoAzSU+/Jq5FX9ysTws8aZpNCNnWU00YjO1jHCj7lDK5lA/PwkM4ozuR9bQZVcjNTY/GlyJnaPZSb/ySPfliEnRi1JIgxOEQvHFoJbu0UkvWptJhvYEg/rebbJER0dC0RM7oGoRei2ydgdwwnS/8xqZyDS/+S9WSaA5LPgLbdRzAnjQF39yPWh4pyvHU2QLsXmAn8nXhutMeA2cBPjlK7FEVRlK+h0WzkpfBLvBt5Fyn3PuxldmQ2EokHDxkiY6/1Z+00s5rPMDHowTBWMoMEUkgnj1rKEGicxlX0ZwIbWckKpjPWdJNCBDvdiMgwmVpPEsVIcvSfk6ZfTZI+EavIwS+X4xKDcYreOEQvGs0nEVLHJoqJ+v8MgDXhx5gxL0LzoAk7LgriuzQPRmhgTYHWmfHXjq4gOrtqR1FOfJ0K0KSUESnlr6SUJVJKl5Syu5Tyl1IegUyHiqIoyhGzIraCUZZRtMpWZkRndFzfHtvO7OhsPHh4PPw4URnFlCYAUSJ8zL+ZyfO4SKKCzSSTzjDOYj3zGcVU5vM2s3iez3iB98XfcUorkw07ABn6jwjKpbgoJFW/DE38bx2YSwzGTjEWEU+pmSTOwGFm4Q76wKhAGhVolgEYsQZ0azdioelEAy8izRaE9hUHlXsXQ6wVnCXgKDqi/agox1tn02z8VAgxfJ9rI4QQ9x6dZimKoiiHKiZjrDHWMNIyku/Yv8M2cxsLogtYEl3C3YG7EQj66n2503En9bIek3iAtoLptFBHO00U0It1zGU05/MhT5JNERnkMYrzSCGL/+yeOPmh8R2gGacYSLtZhk14SNEvQxeJe7XJpQ0hVbui47WUAkvrGwghifj+AoA14W5kZC5gIEQCunUEVvftfGkmJ2nukV7jTHAUHrF+VJQTQWfHg79PfFpzTxuJr0N7+Eg2SFEURfl6NhobydFySNHio1VX2a7i3+F/s8vYRYAAf3H9hTBhHgg+wAfRDyg3y/ltwi/4jBfpx1i8NLCKmUzmen7HxfhpO+B9LjN/TIr5BhEgVbuDauNBirQ/YxcHDpLEHlOp0igD6QWjCmQzmm0cptGC1X0TVteFnX9YMwKtu493cg8ES3LnP6so3wCdDdBsQHSfaxH2TOusKIqiHFfLY8sZZRnV8TpJS2KMPobvR26lly0PobXxROAZPoh+QJpI43bnbfyTu+nNKGw46M2puHDzV27ETxtDOZNuDKKa7dSwjTp2MoppnC2LqKIcOz3xmruwkU6yNqVTbTTCs7C6riLivRMAi/u7yOhGLM6bD+1hDS94l8TXnTmK4eucuakoJ7DOBmgrgO8Bf9vj2neBlUe6QYqiKMqhqzfraZbN9NR7dlyTUvJ29E1y7RoDxUheCn3AM5FncOLkyYTHeE/8HivxacQQAdLJ5xnuo5ka+jOee3kRD+ksZzpWaSNsfkSy7EKjGZ9QydTvZrvxGwrFHWha5w6WMaLbEXhBBtEd08BsxZpwB0JzH9oDt8WnREkaBxbPoX1WUb4BOhug/RCYIYS4GtgOlABZcJBTdBVFUZRjakVsBYMtgzt2ZkopeTvyNpvEfE7TzkMYSfwx9Ct0dJ5O+A8f6b/HJgS38Rh2XDSwi9d5iCq20JWB/Ihn8JCOl2ZWMYM0PKQZL1Co/5JKSrFRhN+sxCL64dRLOtVGKSW6tTeRtpsBDYvzCqQMoelZh/7ALbunN5NPBz3xy8sqyjdQpwI0KeUGIUQP4DygAHgb+EBK6TuajVMURVG+WlRGWWus5Vb7rUA8EPog+gGLjTmMtA4i2SjmhsANADzmeozV4j3OFteRgIcy1tBIJauYyXZWkU0xF3I3TdTgIIE3+CMRwgw0eyDFpTSZTwGQqd2FgZce4m40OpfU1YhuQZrbgRgW51XEIiuwJ9z69R7aMx4ideDsET9BQFG+ZTqdNGZ3MPbqUWyLoiiK8jVsNDaSp+WRrCUD8FH0I+rMWhItEUrM07nKfzUSyf3O+2kV5fSwFvG0uAfJ3nnSksnkXl5iNZ8xjzdJJ58AXs7mVraZDzJIu5BK4zGs5KCTTrJ+AT5zPu69N/kflIxtwQjHR74021iksRWhF3+9h06fBmYQgtvixzwpyrdMpwI0IcQ82OdPclwYqATellK+fyQbpiiKcrILmkFqojV0tXf90nKLo4vpYenB0uhSNhob+Tj6MaNtvegmx3C17xqiRLnLfhc5FgumNcTr4lE0dEoYRD69yKMHeZQwiIl8xktM4XvsYDVt1GPFwfs8zhTZgxbzWQAytDsQWLCLIlp5Cytfcl7mHqQMYkaWEP+nx4Jun3zA46Y6RXfFD0qXMbVBQPlW6uxJAnOAImAu8OLuXwuB5UAd8LTKiaYoinJkveZ9jYf9D7M0upSo3HcjfXwq87/h//JO9B1KY6XUyTrqzXrOtE4ghx7c6LuZCBHusN9Of0s3wtZK3hGPYsHK3TzNaKZRRF+u4BecxhW0UEcymQgEbpIR6OTTk1t5hFx9CH65CJ00rOSSrJ+DIf1Iomh89QiWNBpBNgImmu1UzNgGNNuEw+ug0E5wfnnwqijfVJ2d4pwMnCml3PTFBSHES8BzUsqRQoi3iU9/qpxoiqIoR0B9tJ754flMTJrIDnMHc0NzGWkZyXDLcFplKxtiG1geW86c6Byusl/FVY6r8Jpe5kbmUqDncK3vRsKEuc1+GyOsfWm0rWC6+A9W7NzBEyzhQ87iJqrZQiOVZNKF7awijVze4E8YMkI/enMWPwTTR5X8CIAM7RZiNKCRRLuchZWCTo2CGdF1mNH4xn/dPhGkRNOsh9dJkQpIO+/w6lCUE1RnA7RewI59rpUDPQGklEuFEF9yaJqiKIrSWVJKPm77mHRHOqfaTqWL3oUGs4EFsQV8z/c9+lj6MEAfgIlJvpbPjOgMPMLDmtga+ln6cYPvFsKEudV+KyPs+dRZljBTPIcdJ3fwD4IEGMUU1jKbKrZSyRYGMJ5FvENvRuOnhavljZhyAc38Hw760GK+DVhwiZHoMgmv/JSILCNVu7pTz2SabRjh6QBoegFCLzq8TjJj8U0Crl6HV4+inKA6O8X5OfCMEKJECOEQQpQATwHzAYQQ/YGao9RGRVGUk8rm0GZazBaSrEnkaXkAZGgZDNWHYsFCu9nOJ9FPWBVbRVRG6aH1YEdsB0GCXO+/nhAhbrHfwqm23iRZnMwUz+HAze3yCT433yQBDy4S6cOpDGACZaxjvfkco+QIujOMYfJMhFxDqnYZWdrd+OViwCBFu4iYbCIidhCRu0jTrkUXX52/TJotIMNIoxKhZSClHc3a/fA6KdYaPyDdmnJ49SjKCeqgI2hCiDuklI/vfvlb4G7ixzvpgEE81cZ1u9+PAN85es1UFEU5OUTNKNO90+mb1JdarbYjrxnA59HPaZNt5JFHtpbNudZzKTfK6W3pzUPBh3g/+j4aGr9x3s91tuvZJpbzV3ElADfzZ+ab7yNjeQyzTiFJ+9+6MR2dYhwkS50FYgXj5VB0krBRjCkDNJn/ASBd3EaT/A8JjCZNu36vQ9G/jBndDMbO+L3sk0EEEVru4XWULR16PHF4dSjKCezLRtAe3OP7mVLKy4kf7ZQLOKSUl0spGwGklKVSyuVHsZ2KoignhYX+heRYc4jpMYq1/6WgaDabWWOs4XTr6eySuygQBQRlkCK9iBt8N/B+9H1SRArPJz5NsrOOemp4S/8dYQKcxhU4SEDXDSZrV/Bs+FnaZXtH3YX0pV04aZRLyDJzkXINidrpxGikWb5MjEZcYggmfqSMkabd2OngDMA0qjAiswHQbKPRLb2+/u5NRTlJfFmAtl0I8RchxA2AVQhxPfERs3OB64QQN+x+T1EURfkSpjT5b8t/2Rba9qXl2mJtLPYt5sykMykzy/YK0BbHFpMiUsjSsjCkQT+tH1vMLUxpn0KpWUp/vT9Pup5kkf4vArSyUn+Drawgk0ImcS3lbGAA4xlnHc8QyxCeCz1HTMYA6EIfKtlCrayiSEawkgUIfOZCGs0nAUjXbgUkHnEemujcsU4A0vSCsGOE5wIg9GI02+BD60BFOQl92SaBy4F7iU9dWoFrDlBGAk8fhXYpiqJ8K3yx4H9LaAsAJY6DH4v0WftnjHCPwKpb8Ua95GjxDPkBGWCdsQ6bsFFr1HKb/TbuCt7F3Fg86LnGfg2XWS/jk+hHNFmruIDv8WdxNRoaN8g/kCRSaaaG04hPd46xjqGb3g2LiP8TkEQaibINt2wiIt/GpT9KUK5Bw0ZArsRCOmnaNfjk5+ii4NCe32wE0wuE0KyDEFo6QnTu5AFFOZkdNECTUm4BbgIQQsySUk48Zq1SFEX5lljsX0x5pJxr06/lxaYXkVIecHrPb/gpDZXyg6wfsN3YThetC1EZxRvzsolNFIgCwjKMX/iZ1D4JP34yRSYPuR5iq7GV6ZHpZFqSGCNu5xnxUySSS+VP2SQW00YjDtzk06Pjfl8Ef1/owxSipBBlHi3mq0iihIhnVkrTbqTN/IQwW0jr5K7NL2iWrkR88eXMuv0MNMuhBXiKcrLq1C5OFZwpiqIcuo3BjSzyLeLK1CvJtmZjF3Zqo7UHLLs6sJrejt44NAdlZhlFoohXm1/lj3V/ZGlsKflaPq20cmfgTvz4udR2KQ+7HuaTyCdcZr+MQkshFWIjpojSSCW9GEkGhUzgCpbxESUMwcrBpyYTZCsW0YxHnI1bjCVBnEaL+Rag42IENlFAlvZDrOLQzr2UZhAz/CkAmqU/mq7OzVSUzuj0WZyKoihK51VEKvig9QOuTrsaj8UDxKc3t4W3kWPLIWpG2RDaQE9HTxzCwYrAChISE3g+/DyLI4vJjeSy3LecwpRCms1m0OHngZ8D8DfX31gTXcOToSd5wv0EXfWufBL9hInWcWwQcwCYIK9AE4IciunDGE7h/IO2NSrrqTZ/gyn9mAR2f/mAGCnaJThEb1xa76/VD0ZsC2ZsAwg3wjrsa9WhKCcjFaApiqIcYQ3RBl5rfo0LUi4gx/a/EaMSewnzffMZmziWTaFNzPTO5JO2T0jRU2g32vHjp1usG8uDy+kr+nJZymXUhmopSS7hR4EfESTI1barWRhdyHDLcJqjzXTTu7Euto5eei9cegsbWQBABl3IoZhayujKAJJIO2h7BRaCctV+1zWS8IgLsWier90XZmQxALr9NDTLYeY+U5STyDEJ0IQQfwYuIn6eZ38p5foDlNGB/wPOIr754CEp5b+PRfsURVGOlIZoA883Pc8ZSWfQ3bF3QFJkK+KN6BuEzBCbQpuYmDSRHvYe/LXur1TFqljfup4SWcJVnqsYYA7g2p3Xsiuyi/P181kultNF68JQfShvhd9irVhLL0svSs1S1hprOcM6iS1yLu2imXTysAo7XejDPN6kmAFf2mYdD131NzEIghTEaETDiZRh2s3PSdUu+tr9YUY+i9/DNg5NU2MCitJZnT1J4HC9A4wjfjzUwVwJlADdgdHA/UKIoqPeMkVRlCPki+BsUtIkBroG7ve+VbNSYCtgS3ALO8I76GnvCYBFWOiT0IcuWhcsVgt5Rh53V97Nrsgu+nn68b54H4HgYefDNMpGrnFcQ7aWjZCCJ4JPEJABGmUlAdoA6MsYnLgRaNRTTjbF+7VlT0LoxMwWWo13aJEvEpKbcYgeBFmFTWQhxNc7M1NKg1hoZvweln5fqw5FOVkdk//OSCm/OBLqy4pdBjwlpTSBBiHEO8AlwJ/2LSiESAaS97mcfwSaqiiKcsiklNRF63ip+SUmJU2in7MfK/wrGOIast/feyX2Ehb4F5BrzcWlu1joW4iOzobYBm5KuYk2s41/VvyTVYFVdHV0JZgexDANfuD4AWtiaxBCECHCFNsUhuvD+VHgR/TT+/G5+QlYqgHowXDy6EEz1SSQjAPXVz5Dgj4amyyg2XwVMGmT76IJN3bR4ys/ezBC6NjTPkRGlyMs/b92PYpyMjpWI2id0YW9R9h2AQfbj/0DoGyfr3lHs3GKoij7klJS2l7KI9sf4feVv+8YOauIVPB+6/tsC++fmLbEXsIy/zK62bqxPrCeD1o+wGt46ZnQkwyRwQd1H/CJ9xPSLemMKRjDdnM7ffW+dBPdqJE1TLFNoU22McwyDIfmYIJ1AktjSxloGciG+PHIZNOVFLKoYQfZdO3Uszi1vlhEMsn6VHL1+xE4sFOCTeQdVh+ZsR1E2v8P3ZJ+WPUoysnmm7og4G/As/tcy0cFaYqiHANfBGZzG+cipcTmtHFx4sUd05o7wzvJtmYz0zuTbvZuaEJjpX8lSXoSRbYi6mP1bAlvYXnLcpqiTTxS8Agb5UZern+Z/zT+B6fm5M9d/8yN0RvR0Pil85fEZIxJ+iQCBBhgGYBzd7LXkZaRZGvZ6FoTtZThIpEcuiIQ1LKDfozt9HMF5FoStdOwko1VZAFgFZmH1VcWSw+k41zEIRwNpSjKiRWg7QIKgWW7X+87otZBStkKtO55TZ3rpijKsRA2wjxf/jyGNJiQMYEeCT24v+Z+Ui2pHWV2RnZyasKpLPEvYV1wHTnWHN5seZOWWAtDXUM5P/l8BIIcaw4NsQYmbJnQMdomEDzR5Qk+EB9gYHCD/QaWRpdyivUUEkUiy2PLudF+Y8e9uuhdyNfz+Yj4kUy9OQUnSUSJ0EwNGXTp1HPFZBMGbdjpihACh+iB31yKhazD6i+hZ2B1nX9YdSjKyehECtDeAG4WQrwNpAHnE99YoCjKYWgMGlgEJDv0492Ub4UZdTPIsGcwLXcaQgh2Bncys3kmMiLpV9yPmIyxLbyNHeEdBIwAn7R9QomthCHuIWyPbOeN1jeY55tH0AzuVa9VWOnn7McdGXfgTHDypv9NHDiYbJlMm9nGDmMHmtAYbxlPmrZ3yoxW6tnFZgB6M5oUsqinnFRyvzQ57Z6Cch1O0Rch4itf7KI7AbEGfb/lvodGsxSCpfCw6lCUk9GxSrPxf8CFQDYwUwjRJKXsK4T4CPiVlHI58AIwEti6+2MPSCl3HIv2Kcq32YLqEDlunRHZRzZAM0xJ2DRxWU7MwM8wDRrDbWQ5U7+68G6bvJv4uPZjCl2FjEkfQ5Zj79Gj7b7tbPVt5bZutxExI8xvnM9bDW8RiAVoMBpoibXQZrQRMSOclnQaExMn8nDNwxQ5irhy55Udh5MD9HP2Y0LiBPo6+5JgSSBkDbE+tB5TmjwZjo+G3em4k7eDb3OL+xZej7zOaZbTGGEZsV+7W6jtWH+WT08cuKhhBzmdXH8G4BC9ENg7XtvpSqp2mZqdUJTj5Fjt4rwLuOsA18/Z43sDuO1YtEdRTibbWqOMzLZ/dcFDtLLFy/b2IJcXZR/xuo+EUu8u3i6fyw3dzyXXlfGlZWNmjOl109nq28r5uedTE6rhhfIXyHXmMjZ9LAWuAkJGiPeq32NKzhSWNC9hafNSuid0pzClkC0NWzgl8RRWB1YjEIRlmGQtmfWB9fRx9eGqsquIyRgXJl/IhMQJZFoy+Tz8OTWyhs+Cn9EnsQ8BM8Bfkv/CqugqZgdmkyySOdd6Lq/L1yk3ypFIzreff8CAyUcLZaxBx0I+vQCoZQcjmdLp/rKKvX8fhdCxH0KApyjKkXUiTXEqinKItrVG8UVMBmUeOADzhk3WNYbZ3Gwj233k/riHDZO5da1cWXz4wdkOXxsxKemRmHz4DdtDpb+eXFc6r+/8jFt6TMNlOfAi9cZwI29WvkmqLZXvdv0uDt1B14SujEgdwerW1bxV9RY9E3oSkRG6JXRjZetKXix/kQHJA9DQ+Nz7OUbYIENksCqwCquwYkqTBb4F9HH24cadNxI0g9yUfhP97P2Y6Z1JS6wFR6KDFlpIi6QxKzqLKWIKJaKE74S/A8C9jnuZF53HQH0g06PTud15O46DLLSvpQwTk14MJ5Vsgvjw00YauUe0TxVFOXZOpDQbiqIcopX1YZbVhQ/6fllbhPKwl9qY74jed0FDK90SneQ4D39kbklzPZ/WVSClPAIt+5+ljZuoDjTSx1PMm+WzMaW5X5nKQCVP73yaYSnDuCT/Ehz6/wIgq2ZleOpwbut6G/Ob5rOocRHt0XaWtyznxuIb+VGPH6FbdNb511EeLOcz32dURaqY6Z1JjjWHUQmjuKn8JlqNVi5MvpBBzkE81/wcyVoyTxU+Ra4rlxbRQronHYu0sMK3guciz7HaWE2+lk8XrQsZWgYBGSBFS2GUZdQBn1MiqSG+GqQvY/CQTi1lZFGEpv6KV5RvLPWnV1G+oUwp2dEWoz5oEIrtH3wArGoI0xoLs6Kp/YgFQN5ojGVNXk7P6vzaroMxpMlOv5eYabIrcOSCyKgR5ZOqBcxvWEKuMxUpJbNrV1IfqseQBhBPlfFa5WukWFMYljqsY+qwKdxE0PjfAn4TE9M0We9dT0RGSLenMzptNCm2FAyrQY41h+u7XM916ddRYCugNFRKL0cvrtt5HTXRGk5LPI3JSZNZF1xHnjWPi1IvoqerJy6bi1+k/IJd+i6ytCzu8dzD70O/B+Aexz1EidJD70FMxBilj8ImDrzYv54KNrEQgC70QcdC7SGuP1MU5cSjpjiVTgk0BHGmORCaWjB8oqhsN0i2a7itgp3eGL1S9/8HfG61D7um4bFZqAqGyXc52OUPsaChleFpSZQkHjjDvJSShnCUdLsVbZ81T7NrmxmamojHdvh/fVQG/BhSkudMYEVLPYXuxAOW2+WrxW1xkub46kO7Y2aMHy77K2t9i0iyuvjR6vt5auRDPL/tE16ueIZriy5neNow3qp8i88bPmds+ljWt62nn6cfYSPMv8r+BUCiJZEcRw4bvRvxGT5Gpo6kIdRA14Su2DQbS5uXsqVxCz3CPXix5kWeLX2Wt8a+RY41h7sr76Y8Us4Q1xBuSLuBmd6ZnJJ4CgBnes4kJEPUmrUskosYah3KRPdEfhH4BTvMHfTR+1AgCphkm8QT4SfoonWhi3bwVBlVbGEz8QPJu9CbenZRyRb6cOqh/nYoinICUQGa8pXaq3ysebqUPpd3I7V78vFuzkljWW2IGr/B1G7uA76/vS1KSbIFp0VjR9v+AVp7xGRti58BGS5OyUxgY5ufumCEz+qaGZ2ezMfVjSRbrZyRk0p71CDNbiXVHj9zcVt7kNfKa7FqGsUJTrolOOma4KQ5EmV5czuXF2axpqUdh67RM+nA7euMre2tVAX9uCwWwoZBIBbFZdn73EfDNHirfA4lSflMKRhz0LqCsTBLGzbyr61v8kn9B1yYN4WJWeN4tPRZvrvsx3hjXsJRGy+KV1jSshiLsDDAM4CGcAOvV7xOliOL6mA1ha5CLi+4PH698nUaI41cmn8po1JH8UHtB3xW/xlXL72akBna6/4OzcGqwCrurLwTv+lnhHsEjxU8xnU7r+PfXf7NH+v+yH0592HX7FSb1TSYDXTXu5NtyeYa3zWECTNAH8AvnL/gPOt5TI9NZ4A2gM3mZk63nn7AZ44SpY5ywgTJpyd+vGxiMUM5Ew8qc7+ifJOpAE35UhFflE2vb8eV7iDQGCK1+/Fu0clhVX2Y+dUhBILtrVG6Je9/WPW21ihndHFitwje2urf7/11jRFajQgXFmfSM8nB/et2MMCTwA3dckmz2xid7mFFs5fnd1Sz2Rtgan4G5xfEs8ZvaPMxKSeNvh43O3xBtrcHmVPfwvImLwUuByub23FbdPJdh7cG7bOGSnomJmPXdRyazpq2JkalZrGjvYpuSfHjdde2bMemW9nija9TO1jah1fLZrC4aTWbAsu4JO9iLMLNj1Y8zneKz2BQalcqwqtZ3LiJhkgdY+2jmd0wm+pQNV1cXWgJt3D7ytvp4urCeTnnoQmN8kA5AsEPS35IREb49cZf8+i2RwkYAQB6J/ZmROoIBiQPoG9iXxYbi7lh1w0AXJl6Jfdk3cMjdY8w1DWUD7wfMMw9jJHukQBUxCo4y3oWG8wNPBx4GICb7TczSB+ECxcttLDJ2MTltsvZGNlIhth/F2qMKK/wO2zE1819sf5sGneiq7/aFeUbT/0pVg7KNEw2v7GdrEHpWBOs+GsDx7tJ31hbGyMkuzQyXF/9R25DU4TPKoJc2yeRxqDBJ+UBbvMk7TXVGIiaNAYNChItaAL8UYk3bNIUDTO9uokp+el8UObFoktOzXbzblU9YcPk3LwM0uzxkTZdE4xI9+CxWVi1dgez61qYlp+BISWl3gCnZ6eSaLUwMCWRgSmJbG8PYBWC23sUoGsCKSXmYSxra42EWdXayL+HnkZdOMj8xhpWtDTQxaHzwo7pXNvtbAoTsplXv4apBWN4r2I+tcEmclzpRM0YixvWk+lIIW93Co33KmfRLnfRzz2c4oRifrryCQD+b9MbCATn5p/CVcXXk5/g4KHSh0iyJnFx3sVc3uVyntz+JL6Yj3mN88i0Z7KlfQtt0TZu6XoLT+x4godLH6Yl2gLA1JypnFd4Hkt8S9gc2Mwl6ZfwXPNzvNLyCgLBA7kPkK1n89/W/9IQayDPlkeJvYRezl4dweXG2Ea2y+28EnkFN24ecT2CW7hJEkmMsY7h/ej7jLWMpcwso6fec7+gNEKIj3mKNhpooRaAYgbSnaFf/zdEUZQTitokoBxU2aeVaDaNLhNy8bcE8FYd2Z2AJ5M/fN7KTz9r5r3tflpDBqYpafUb+5Xb0hLho7IAV/ZKIN2p0zPFSoJVY/k+OzW3t8Uo9lgJGgYtkRhFSTrv7GrirV319PG4eXlnLR9VtTAy3c3CxlbS7TauKsqmzB/c756l3gBn5qThjcSoC0XY4QuS6bCRZN07mJxT18LE7FT03esQN3n9vLmrbq8y8xtr8MeineqTd6p20CMhmTxXAv09qQRjMQKxKG+Ur+T5nVuYXr2M9S07cOsOsu2p5DszWNW0leawl6UNG1nUsJ5ljZt5fPNb/HTFE6z1LqfY3p9z8k/jZ6v+CcBDQ27j+pJzsWlWPqhcwJXzfsNPlr/IbV1vQxMa5+eej1VYubrwalrCLXRxdaF3Um92BnbSK6kX4+aO477199ESbWFCxgReHvEyKekp/L3i73we+Jzrc67nNzW/4ZWWV0jQEnih6AXaYm0s8C9gV2QXFZEK7s2+l/pYPQOd8XM6pZRIIXkj/AYAryW8RqVZyS5zF1PsU2iUjTSbzQzTh7EmtoaB+sC9+i1AO9N5mjp2MoAJrORTALJR2foV5dtEjaAp+4kEomz5YAfB2giDb+lNW1U7O5dU4MB5vJt2VJmm5PPP/Zxyigub7cj93yVmmFS1G4xKtmPXBf9c144eBtrhx2cnd5Qra4vy7vYA3+mZ0JGzTAjBWYVOnt/ko1+aDZc13q5trVG6eSzMrG3GFzWojpjs8IZ5aHgByTYrutT4bXgzPy0sYmt7gKuKc4iakrcq6jg9K6VjRCZmmmxq83NpYSaLGtso9QZojkTp69l7XVlzOMrGNh9T8+KjVaaUfFBZR/ckW8e0Y30owMy6CkwpGZdx8PxbK5tK6ZrYhTkN1XynS3zO3KrpDExJ4+3y5bxR9hY2TeOTyoW8tfMz+qQUM3vRQwBEzCjbfJWsb9mOTbcxrWAsVyZN5o4lf6aLO50pBRO5Zv7vMKXJff2vpiG2gbBo5ulTfsKW9ir+vfV9RqX3Y2HTQi7Nv5RzFpzDytaVjEwdyRmZZzDeM55kazKt0VamLZyGRFLsLuaBPg+wumU1H3s/Zk1kDQOtAzmj4Azuq76PqmgVRbYiHi14lLpoHX1cfXit6TVswsZ5nvNoM9roau+KW4/3aZlZRpQoPnwM0gfhFm6StWRiMsYuYxfTo9M5w3oGtTI+Mpan5XX0nUQyl1exYKWYAazkU0L4GcVUUsj5uj+iiqKcgNQImrKfimXVrPj3BorPykMCa9/aRP+LeqJbNKKBzo2OHGvBYAzzcObbgOXLg8ydG2D58tBXFz4E2xtj+EMmIgbukODWfomsrQrzbo2fYCSeHkNKyWOrvUwscJKfuPf/m7LcFvqk2ZhTGeoou70tSmGSzuoWH29V1JPp1OhqT8Yq4bdryplTHsFjtbChvZ0+CR52ekPkOG0YEja1+XmjvA4pJVvaA2Q7bRS5nSRbLaxq9lLqDdDb494rLcfSpjaawjFeKq+lPRpjdXM7aGESLHbeqtxB0IixrKWemJS8UF7KgsYaSttbaAgHMfbIP1YfbOMXq9/iV2vfxa7pDEpOx5Qmq5u28Pq2N3lv1wcYCE7NHM6w9N6kOTz8dsBN9EkuYlBqdwamlnBd17PplpjPHT0v4r2K+axoKmV161qu73oN9674B21RH+cXjMMUDcxomEG2K4kKfyOvV7zCtSWTuKLrBPp5+nHD8htY1rIMQxosbFrIbzb9hosWX8SEuRN4YscT6ELnnh738Mtev+Sl8peY2z6XoB5kUuIkziw6k1srbqUqWsXYhLE8kf8ED9Q8gCY0pJRcknoJKdYUzks+j1WBVQx2De7og2XRZSw1lgIwzTaN5dHlXGa7jPNs5/Fi+EWcOOml92KNsYaBloF7TW8KBCM4Fy9NJJLKDJ5Bx8JoppGpRtAU5VtFjaAp+6lb3UhinpuaTQ1UrasjrVsK2X0yqV3QSLApjNW1/4L14+3tV3bhcOpMu6QAi0XD54vSWB+mqGtCpz7f3m4wZ46fiy5K4pNPfAwf7sRqPTIpRWaWBtANQU6yzp8/auOi4S7yk3RW+iIsLA8xsbuL6eUBFlUG6ZtsYUjW/gvvT8t38Pc1XoZl2TGkxK4L6sJh/LEYOU4bJW43c3eEuGVeFfPbqgmFLIzJSOHs3HS++6mPJJvg6ck2ilwO/rChjKZwjEK3gx2+IH2S3HxQ1UiiRWdtq4/hqUm0x8K8UrGTm4v7APBRVSPjs5IpSXTx3PZqEmwxljfG+OP6Tbw3vh//3L4hvhtT10m3OdnobcalW2mOhAgaBgOS0+iZ4OHnaz+hKWZlWfkKeiX3xaWN5rWdn/HE5o+RehpXdJ1KvjsLtzWJHFuUqIzxSc0SeiR1oT0aoDncxvyGtaTak+iVXIjH5uaOJX9hXNZgXt0xn1LvLvqndGNy3iDmNn3E5QUX0RBuZIN3NdeXTCVRy+PDurd5YNMDSCRTc6bymz6/YXnrcla0rODj2o8pD5QzOnU0d/e4m9n1s3mr4S12WXbRN7Uvlb5KJnaZyFU7rwLgurTr6KZ346odV5FoTeSFxhfItmUzLXkaPe09ybJmscS/hG72bgB4TS9hGea9yHsA9NJ6ka6lk6fnkUcetbKWvnpfDAw2GBu4xX7LXj8HEskaZpNHT97l/zAxmcrtzOdNJnHtEfl5VRTlxKACNGU/TVta6XFWEVs/KyO5wMO478cPZ3amOwk0hkgq6FzQc6yYpqS+NkRh1wTefKmcCy7vwrbSdip2+jsdoE2f7mPoUCf9+jlYvz7EihVBRo06cI6wQxGNST7aGGRCdwe3TvTgDUqeX9COli1I13Ve3+IjO9XC+9sC5AsLTRGTcm+UwqS9g2CXVWNcnoPp5QGKEi2UeKysaWmlNWwSDtl4Z2c7PZIdfO5tozDBziJfgF5pGm9tjrGuMUL3ZCsVgSDrW31UByJMyU/nH6UVFCc68cViOHSdimCYhlAEl1VjXVsT1UE/DeEg/hjsCoT4Rb9iMhw2WiJB/rGliek1TSRZdSQ6ha5EZtZVMjw1k4vyC9nia+WKLj3Y5G2mtL2VxlCQBzcupy20i2l5/QgYgg8r53Du5y8wOsXKNT2uoDJkML22gqU71mAi+UO/EZydM4pHN7/B7wbfTNCI8Fb5HObXreXs/FEYpsGG1jJGZwxgTt1KPq5aTJrdw8/7X8t71e8wLmskz5Q/g1N3kmhJZHlbBTWhGuY1zkMguL/P/QxLGYZNs9EWaePMzDMZ7BlMkbuIJEsS/9n5H6rD1TTYGyhILqAsVMadhXdyW0X8yOBf5/yaukAdH/k/IoEEBuoDaaKJ7vbudLN3o6ejJ1vDWxnsGowm4pMVi2OLiYkYjbKRHloPwjLMBOuEjt/nL9JpbIptIlNkkqwl7/czlUourdSxipkkkEwBvYgQROfEPLReUZSvRwVoyl6ioRj+ugCeoiQiM2MkZbvRrfG/+F3pDoKN+y8yP96am8K4Eyycf2kB0z+o5vUXdmKza/QdkNypz2/fHqaqKsq0aUkAjB/v5pVX2hg2zInFsv8oWjhsYrd3bnXAvNIQAVMyviSeCqEky8KHGyVaBNrqDRbGDHK2+JBByeRuTkYXO/lkZ5Cb+1v2SxA7LMvO0rowS/xhJhU6mFPpp94P13RLJiAj+CNRauoi5NhdJFmi9E9M4zsLa8HTRNgDv9voIM9pZ1h6EroQjMlKwa4JBiYnkOG0kWjRuHfVdppDUVpibRS7k9jc3sqqxhj9kxOpCbfjjdl5aEMVixrbyLBbeWpUDyR+KoI+Jmbm0RwJ83FtOWvbmnDrFla3NrEr0E6G3cnIlExag9XMqZnDoNQe3NN3CmVBned2llK5Y0n8IaXEIgxGp6ZR5EpkTfNG2qI+/LEQfZOLsQqd+Y2buKrrZG5b9DDjs4bwXsU85tWvIdWexBMjf8wv1/yDnw28iO+tvhm/sX/6kRRrCv8Y/A8uyruIUl8pT5U9RaIlkfPzz2e7bzsv73qZymAlWY4sGq2NDEoaRF24jntz7uV39b8jYAa4KvUqArEAb7e/zYOZD3JZ1mXM8s7irba30IXOEPcQAB6pfYSbM24GwJAG70Xe6wjWptmm4RZuLGL/v4a/mN48EA3BS/wGgEu4l22sZBATO/XzqCjKN4cK0JS9tFa2IaOw+sVNDLu6PzsXVRLyhmnZ6kV36Hgrj/1OzrLtPhISLWRkHvig6PraEJnZDjRNcNaUXGZ9Ustz/9zG+En/O8hbSsmLL7ZitQpKSuyUlNhITtaJRiUffujjnHMSO6Y0c3KsZGdbWLUqyPDhe4+itbQYPP10C9//ftoBg7c9NXgNFm0N4XIJeqVbqW2N8eoiH2Eb3DDIzaqtEV6s9SNiJhVtBucWWshzaFg0WNMQIdOls6k5wsQCJ0IIwoakJWgwoyKEyxmhrCWGjuCT6kZ2+kPYhU6NP0ZC2MFL43K47LMdkNIMAnYFYFfgwMF1mt1KP4+bq4pyGJOexMc19QxIhVDUyWZvNRuaLPyqXyGl3jZ+t24b61p9FLjsPDSoiJm15fTwuJjXUE1JgofL8ksoSfTwduUOljc3sN3XhhCCgBFjZEoK0aQhDM0YyfT6Rp5YtRbDNCC6Hht12EWUsOEjYkZZEICq1hymFYzhyq5nsqxpMwIYktaDxQ0beG77x1xUdBo/Xfkkq5u3kufK4NlTf85rZbPIS3CytHUBfsPPmVlnclWXq/HF2omYEQxpkO/MZ0LGBCIywsKmhdSEapAOyWsVr1HsLibbkc36tvVoVo022Uajv5HxzvHMDs1mbXAt3e3dGeEcwcz2mQxwDmBO+xxuyr+J9eH1lNhL6OnoyQzvDApsBWRbs0mxpACwKraKbJHNPyPxHaYD9AGUaCX7/X4EZICd5k4usF2w33sCQTkbqGAzuZQQJcIIzqEf4770Z1FRlG8eFaCdZKSU+Or9JGYdeOqvcUsLoeYw7bV+znjwVKLBGOteLyVSG8XusR3xA60747NPaohGTa69tRtO5/4/snU1IbJy4jtMhRD07JNIUbcEFn3ewAWXxY/IKSuL4vWajBvnZtu2CLNn+3A6NVwuQXa2he7d9173NX68m9dfb8PnM2lvN5k6NT669vGsdlZ4I7yy2EdusoXsZJ0EuyDFrZHkio80Sikpb4zy+hI/yQkgfbCuLMKHqwKU5Fo5vasTR1ijIMnKjUkJvLrBT3aihX+v9eLweDiz0MlrW/yk2DUaQ2Z8YXi2nRc2tZPu1HHoguVNbWxojmIRGk6ZQG24FQ0Yn5HKBcWJXLZgPV5LBIBbuuUxPjOFkGlg8v/t3Xd81dX5wPHPuXvfm9zsnZCEEPYesocoCi7ce1uttvqz01btHrbVKrZaa9Va98BRN6AIsvdMCNl7j7vn9/fHDYiCCkmKoOfNK68k33FyLjm597lnPAeafAFqvAH2dLvZ1eWhPRBiZUsXK1u6+OfEIbzT4ObjFj9/GzuYO7ZX4Qta6QoH+OnWesrdPgbbTPx0aBq7e1qp83eTadFzUWY+gWiU5+v244mE0QoVWpWKPKudrmCAXd0dvFi7n+bAp0GiGsjW7qbat5MgEOw9btEY0ag0VLkb+eveWCoKp97OOGcRcTorGZYkNCoNt254gLKeWgpsmfxj8v/RGfCgVwuuGHQq12+5FoHgqqxreK1xKZdnX8aS/UuIKlHyLfk0+BuocFcwNWEqwWgQp9bJ+83v44v4GGkfyYykGbzmeo1UQyp1kTpybbn8pvo36ISOu1Pv5tXOV/lb9t8IKAHO3HsmL7a9yL7APm5MuJEx5jE82vooJb4S5tnnHXy8j/kfY4p2CnXROjJUGTREG6iIVqCoFEZrPl1EsCu8iwJVAXpx+FxED938h3sBOI87SSCDiZxxVH9HkiSdXGSA9i3T3eBi45Pbmf2jU1BrDh+ma9nTjq/Hj0ojqPqwjozJKbz20AcMWTCIcCBKR0kX0XAU1RHu/V/oaA/g90cYXGznraX1nHdx1mFJO1uafDjidbhcIaxWLZXlHmadmkLxIUOc69d7mTjRxPDhBoYPN6AoCp984uX++9t44omMw35ueroWp1PNG2+4yMzUsmuXn/R0Df9Z5aI9GCUjXoVKwK66IG9u8aBRC04faWJcrp5wJMqjK1x0eqIYTeD1KfxtWQ/JNg2nDzbw0Ls9vLM9FqgsHG1izhATn9QHmFNsYFtbgCZfBJMG2nwRpqUb2NUWy412dr6J7kCUKeka9nqj/HxUGrVdajoDUeak28m0KTxb28gla3cAIMJaHps4hOfLOwiFurk0P4FPWrvZ1eUiqChkmwxcPyiNdKOeD1u6+O3uKr67qZTHJw3m/cZWqrx+tOj50Yhcrlu/n2qPnzHxVq4aZGNpbS35NjOZRhuZRjOvNlTyfM1+onx5AG9Wayi2xXNmaiY7Wt/ileodmDVG7ht7C8FohFRjOhqNCT1e1CoVKxo38VrtKsp6anmvYf1h5Y2OL+SeURexvWM/52bN4pnap1nRtoeQEuLyrMvpCvVwQcb5lLnLGOkYyezE2RTbinm4/GFyzbmsaY9tMl7jq+He4nuJKBGWtyxHZ9Kh9WgZZhvG6brTubX2VgB+lfYrXux8kefznsekjvWunmc/jyXNS8gyZjHGPAajysh5cefxetfrFBmKAIgqUXZGdh6cU3aO7hx6lB6+Z/wezwaepVvpZoZmBkIItke2M0s764j/f6/xV7ppYxjTaKOe07juS/+/JUk6eckA7Vumu85FJBSlq6YbZ17cZ84pikJ7aSeBriD2TBt7X94PYUgsiqdmbSMjLi+i9qMGOvZ3k1AU9wU/YWCVlfSQP9jGrFOTee7JKtatbmPytE+3vVEUhdoqDxX73ZgtWqbOTGJ/aQ+d7QE+WdnOz387jM7OCLW1Ic47z3bwPiEEZVUBPEQxGI48VJmbq+Wtt1zccYeT55/vxm8VVHsitPijvLjOyy3zbEwuMFDSEEQlwGYUfLDLx8d7fSDgz5c4+ddGFw7UzEo18vpmLwvvayYSBatBoFYJ3tzqZbHWzKlFejxKlByTjjyrmn1R+NeeHn63qZszck3MyzKSbdXwfoePqel6QjUJ3PyBi85AFFBA7wZLO6iioAjwOvjtmBz+vasbX0TL9YPjcOq0vFrbwncK0glEo7T5QzxW1kC938938jO4flAaj5U3cPvmcv49uZgGr4+rcwdx84b91Hj9THTaOD/bzpt1dcxPS8GqVbGspZVLN2xFATRCxVXZgym2xRNSooSjUSKKglmjIcNooSPQQjDUjlWrY3njO7xSvRyzxsjjU37Ki9VbebN2BTadg0VZ0wmG22nztfHjYZcxNn4wVq2JtkA3XcHYEKgn4seo0pFqiuPJqud4bPz9/GD7XSzKmM1Vmy5HK7RcnHkxL9a9yFDbUM5OPxurxspT1U+xvXs7l2dfTrwunqeqnuKuIXexuXMz27q2sTBtIWdmnMnd1Xfj0Dso0BfwYOuDdEW6WORYhDvsZp5t3sHgDOD65OvZXrGdebZ5GFWxntxMXSa3JN5y8M3EhvAGxqvHszS4FIAx6jEUq4tJVCVyreHag0HaJM0kepQe8lR5R2yTi/kBKtQkkY2HHrkwQJK+wWSA9i3TVdeDKc5AW3nnYQGau9WLu8lDxBfF3xGgodmLI9NO8pAE9lbsx9vqJ3V8EiUvlnPKz8YiVJ8NbDorerBlmFHrBu5Fo6zExZQZiajVKs46P5On/lFOWoaR7NzYEK2rJ0R9nY/R4+PZt7eH4uF2Vn7QTHObIKDYuaY+xO7dfkaNMnwm+eyePX7+/XoPTSGFbdv8TJhw+IrNpqYIxcUG6uvDpA3S8oNnOgjpYVyRnqii8Mf/djOrWE9OgoZR2XrW7Q9wzlgjq0t8GPSChs4wja4wc3ONXPxwC+3uKCoBN8y2MnykjpfKPKzf7uflPR4u0pi4YKYBtU7Fz9d1s7z206HAZ0rcPFPixqGPreT8oMaHLxzrqRqXqqJV00y13xW7OGgAdwJz0ux0R1zs93oZYoonySD4c0k1kxNsdIcixOu13DEkjf1uHyGivNfYzulpTualxPNBUwd3bCnj/rH5XLuuhDpvgMkJdn42LJVybxcOY5hflaylOxQblNSpVFyTM4R5yRkUWhy821xDubsbVyiIRqXi7uJxLNm3lvUtWxnlsNAdbOeFquVYNEb+NvFOpiUN5+2GKrJtI7FrOunwNzEx6RSWVj7Ho2Wv0xHo4S8TbuOt+jXs6CzHrDbgDQfoDrkZZLcyLqmY35fch0KYV+pfREHhhrwbeK/pPUY5RnFT3k3o1bHhwnFx48gz55FuTOcfFf/gtJTTSNAnMD1xOkv2L2GCfwLvuN+hM9jJvLh5uKIuVrlXkaRJ4lrntTzY8iBPJj35mXaSacpklmEWM0wzPnP8QHDmU3wsDS6lWFPMg8EHcQoniqIwRDMEAIuwcJX+Kl4KvsSTgScZrf501efn6TGiQsNqXuFmlhzV35AkSScnGaB9y3TX9ZA3LYuaDQ0w7/Bz3iY/SSOcDJqfxb7Xq2nc3oLBpmPM9cNo29ZJ6sQkaj5sYP/bNSQNj8eebQXA3xVg9zNlmBINFF+Uj8HRv020AdzuEO2tAbJzYxnYrTYtZ56bwZuv1HLuxXmkpeupqfLgdoVYeF4G//rbfv7y692kZ5oYNTmRjHQVGzZ42bzZx//9X6zXTVEUVq/2sm6dlwCAUfCPJzsOBnBlZQHS02MpLsrLg0ydauQ/L3TysS+MCCqYjSp+cJad9dUhMuPVPPyBi9lDDVx2ioXtNUGeXOXGpFdx5xl2lm7yMD3LwJV/b6XHpzBziIHbz7Kj6BUueLeFYARIjn087/OybJmftmgsqatDr+LOsXampOhZ1eDnlf1edrQFeaMith/qghwjVw818f2dO6j3BYjXablnWB7Jahs1PVFynWH+stnLuFQNnT0Bfr6jhTOz7GSYDbxW28qTk4up9vpJN+mxazXMSnZQ5wvyvaIk6n0B9nR7mL9iOwCnJNiZn6HinHX/JRj9NOnsYKuDhak5zExM418Ve6nxujknPY997i52dXcQr9Pji0S5Y9satEozBo2RQZYEfrTlRaxaE49M+jG/2vESnaEwH7fu47K8Mxlm9fPYvjfY3raS8c5iSnuqSTU6eaXqQ5p8HeSYU1CrNOzsLEejiuATdTT5dfiCOhakzePCDRdgVpspshaxsWMjfxr0JzSqT5/mZifF0li81fgWyYZkRthHAGBUG5mROIM3m95kJzvxhD1Ms0/jgsoLAPhhyg9Z615LoaGQDP1nh8SFEEyKn0R3sBuOkJnlo9BHaBQNjUojEFu92aa0YRXWg9fohI6LdRezKryKEeoRX/g3oaAQwIsRCwl88W4NkiSd/OROAt8iAU+QkC9M2shkfF1+Au7gZ8637OvA4NBjy7Ww+lebUGsEGeNS0Fp04IeEIXHozFr0Ni1b/raLnU/vO7hooHFjC2kTkkga6WT7P/fSXe3qd333l7rIzbegVn/aTHPyLCjoWHT6Tnbt6GHNx63kF9pQqwVDhtnJK7TS3OjnwV9v5DuXrkavCVJREcLvjxKJKLz+uos9ewKMH28kJBSGFejZXRfirbdc9PREeP6FLh56qJ0nnujEbBasWOdhmStEVXmQnCwN/pDC8j0+sp0aLEY1k/L1lDSEeOxDF/OGGXltk4fR2ToKU3WMzNJx7aNt9PgUzp9g5uzTTGQ61dz5SQfBCJyXb+bmETayzRpQQ1s0ihq4Y4yNh2Y6mZ6mx6hV0egJc2qWgX+fmsDvp8axdJGTUwep2O1rp94XYFSchd8PK+Lfu3t4qa6RZd0V/HBLORqjj6aAn6CplcnJJkbEWekJRZiR5KDM5ePt+nZuG5xJkd3MytYuhtr0PFdTwZ9HF5BkiG2oPinBhMHQyN171hOMRpmXnMF9I6bw0Khp/Lp4CncVjeHBsh2s7WhmcUYeISXKfncPpyVn0h0OcUPeEG4eNJQso2BuUg7PVMb2jXxowu2sa91BpjWLJWVrUatM3FwwivNzZjM/fSIVrkbaA918Z/A5TEsaRaW7kXRTIlnmVKrdjVySN4uQuoH2QA9lbVHyLJk8XBHrUbo1/1bebXyXifETebzqcfb07CF6yG4Gpa5SytxlnJl65mfmM46NG0tdoI4tri3Mts7mY/fH7PTtJEuXxSjDKCoCFZxmO+2IbXWyczIjHYenxWiJtrAzspNcde7B5LQT1BMo1BQedq1KqJihnUGc6ounDwgEUcIMYxqCgUmkLEnSiUn2oH2DKIrCe++9x7x581CrDx9m7K7rwegw0LirhfhcB23lHaSP/DQVRdXqWiZ8ZyRLz/8AVVRF/cpm6ld+uhl20fl5FJ0/iKYtbQy5OJ/tj+1hxDWDMScYad7axsjrizHG6TElGtn7YjnZs9JIHZfU58dTVtLDsJGOzxxrrPdSWhogPdPErTfsJSnOz89+O5wbLlnHinebPrPd05BhdvTaCIsXW/nPf7qwWlU4HGquvNLOb3/bxvcujsOiEXxgFKxb56W7J0KFTuF751h56PdtVFQEERN1dPsVsk1q2sIK//pBMve/2IlQq0h2qJlcYODG2TrWl/vZWx9gxhAD3b4or2/2cOnfWvAEFC6ebGbCJD2NnjB/2tbD/q4wIxJ0fCfPyi53AHWOkdEWPTc828bsPAOTknQ8tMPFzybY2dsZ5IdjHVy7rI06V4jqSDs9lfDb8elcsWEvAD8akssdqxsZHK9mXWcXF6Zl4HJ7OD89hb2eTloibmakxFPp8XFlXhp7uz28XtfKtCQHmWYjl+YkMe+jlWzrrqAjIFBH63lkQh7vNDaytHEnbT1+nDoD9404hQ+bW3i1rpyz0/J4s72JEXYnLX4fg20OnqgqYaQjgWyzBX8kwjlpeWzqbCXdoKfa08a4+FR2dO7HqbeTbU7hucqV5NhGo9VEKbbHkWIwI4Tg+0MuoNieQyAaxhP20R1yk2NJxaGzsLJ5KzcNPoed3Ts5K2Mmu7tq+L+ia6jy7eLjko+J18WToEvgpkE3cUbqGZS6SlndvprlLcuZ4pzCIPMg3mx4kwsyL8Cg/mzaFrVQk2fP45mGZ0gyJ/Gr5l8B8JOUn7DOsw5X1MV8+/yjbr+KovBu6F1maGawP7KfrZGtWLAQVIKMUo/q2x8F0E0rp3JNn++XJOnkIHvQTmI7d+5kzZo1B79vbm5m//79RwzOolGF0vcrqNvayJ7/lhGXbae9vBOAoC9E6/4O6lY10VnTjSqqQhEKPr0XL15CmiBqvYqSlyqIBCMkDI2ncUML3ZVuVt29iYYNLdiyrBjjYsOa8fl2RlxTRP26FmpXNR6x7uFAhPZ9XZS/W0Pbno7DzgcCEeprvOTmfzoM5OoJsfSFWtKyHfz+T3lY48w4k03c98s9LHu7EZUKZsxN5p4/juTDbafx8rLZLFsJ4TDMnGnm9dddNDeH+cMf2sjP13HjZfWcs6iW6rVBpk0388YKNzqT4JUNbrpcEa6/NY4ad4QROhX3/TiJ22bYWHRfE8sagvzmjW5u+3cHFy5pYciP6rj6sTYuWNLK61t8vL3dx8UPx4Kzy0+xMDJXyzO7XKRbtTxb6sakEfx5YjwFyVpaQwqv7/OwZFsXb96QzC1n2Hh+vxeHXvBRnZ9Us5o/bekmyaii0h2gIejBpI/wcXsb3aEwc1PiWV4ZJs4axEeISfEOWnxRMo1GKt0BUixqzs5MosodC87MGjXDHRYmJdiZkRTrqdntamdmchwq1ExKsGHUudjcXc9j1RtpC/qZk5TBklHT+cWurSiEuTSrgFvyh5JogF/t2YpBo+HOwpHkmmyUuboZYU+gye/l7PRchtji2NlVw4LUWP4ygEty5/FizRaqPG18r2gWdw2dxXmZow/2ZmnVWs7IPIVFmacQjIZIMDgIRyNsbS9lVsoYLsiZjVYdZWP7HmYlT8aoifBw+cMA3JZ/G1u6tjDKMQohBEW2Iq7NuZaFqQspcZXw4P4HGRs3lixT1hHbZSedpOhTcOGiLFBGgb6AsaaxtIRbmGSZhF519EP3JZES3IqbcepxtCqtAMzTzWNPZA+ZqsyjLufzbuNRUjnyIgJJkr45ZIB2Etu8eTMrVqygq6sLgIqKCvLyDn/i7ml0se6xLTTsaGbStaOxJlvQGjW0lXeiKApbntnF6r9sxOIwsf3fJQA4hzs4/98LyD07g65wN92BHgBW3bMJa4YJb7OPyT8eTfWKetb8bgvRcPQzG6mbnAaGXV5A3SdN+LsCALgbPWx6aCcb/7qDDX/eTv3aZnRmLaYk42F1rip3k5ZpwmCIBZvBYIRXnqtm+Og4UGnIy9MxeZKeIcVW3n6tHptdy4NPTkZndrB9r5rGOg9//G0tixbZqKsL094eYfFiG5deamfQIB3XX9+A16ug0cBbb7m45OI6powwYjIKVnzsRZutQZWkoiBVw703JvCnv7Tz3Vc7iWgFxp4oFw4zctEkMxMH6UmyxerY7o5S0hBiVakfX1DhqukWRg/R4lJH+e4YOz/+JBaI/mlaPBYEbhTcoSg3jLJS2hPhsT1drGrw0+mP0hOIUNETJhwFu07NP+clMjtPhRIV3DwkiYfLagG4PCeNlxtrserUPDSuEKMw4LSGSTDoqAr0cE1+MudlJnFtfiw4A9CrVcxPc6JWCZr8Xta3t5BsUOOOerk4I58ss4Hf7N2MWgh+PWwig81x3LJlDTlmKzOTkpngTKYrHCTLbKTU08ylWQWMcCTQFQ5ye8EIOoN+htji0KhUzE3OZKRNj11r4bnKDwCYnToZrYgyOSGPofZkpiSkMsmZ8vkmgEal4cKcOXQGXRg1OsJKhKsGLUAIQY7VSZ41mVnJk9jr2svajrUk6BJwap1kmbJIMXxanhCCHHMOl2Zdyq35tzIjccZhPwtiPV57fXs513kuf2j6AxDrPVves5zyYDlnO84+4n1HElJCvBd6j9O0p+FRPKwLrwNginoKcaq4L1wEcDRE7z9Jkr7Z5BDnScrn89HY2MikSZNYtmwZixcvpqKignHjxn3mutpNDZR9WEXhnFy87T5ShiXhbvXg7w6gNWho2t2Kq8FNsDnEhNtG8eoF76FFy8gritj+nxLsThsX/OMM3r17JfqQjq7yHly1Hgafl0fR4jx2PFFCNKKgs2nZ9NAuii/Ox54V6/Vq2dZOV1UPq+7ZiLM4Dk+TD1etG4NTT/bMNLJnZ6DRH3nFZ1mJi4KiWFoMRVH476v1JKUYSU63kZbmo6rcxdixZq467xMA7vnjSB79eyvRkI+adR3Em50YbYmMHWvAYBA8+mgH3/++k9dec3HjjQ1Eo3DbbfFcd10c99zTytKlPfzgzmamTDExaZKRoF/ho/+4SfBEmbWkmsBUPRgEhRY1L/wolfgUDa9v9TAiS0uWU4tWDf4w6NRgM6pQqQTLKjy4gwrFWXp+v7kbb1jhsiILbZ1RtCmCP2zspMUX5Y7Zcfxtk4sVjQFqIgpRBW4fY6fWFaYrEOWMPBMWnRq/8DEqwcjaji78kSjnZSbR4Q8xIkHHaHMSAjWeSIjK1gBxaoVF2Q4yzIcHvwdElCiv1VcwPj6JB8q2cV56NiXeFu7avQGAf4ydycrmRta3u7BodLQEu3m6eh9z/Okk6U3YNHomOlOYlZRBhtFCOBqlNehnR3c781OyDv7udnSWk2hw0Bl0MTq+EDVh7FpBtvmre4EsWhMX5c7hX2VvsTBzKlZdbMFIg7+BBIOD1kArS8pjc8++V/A9tnZtZZJz0mcWBhwqTvfF87s6I514o15ChKgJ1jDcOBw1ajZ7N2NX2xluHP6V9T0gSpRp2mnkqfPYFdrF8tByAMzCzDj1uK+4W5IkSQZoXwufz0dVVRVDhgzpcxn79+8nJyeH6dOns2TJEqqqqqitrWXx4sUHr4mEIpR9WMX4K0eCoqC36uiu72Hf8iqSipw4B8VR+kEFwqfCH/XT1diNJhprEvGDHbhe2oOrwYO/3c9Zv5+HzmjgjQuXse6P27ns40Wo1CoSiuPoKOvGlmEhoTiekhfLGXHtELRGNRXv1WBONlH1QR2BniCmZCPpk5MpumAQ1cvr2bxkF8YEPUkjnKSM/jS3WSQSpaLMxYx5yQCs+bgVvy/MWednsHy5h5wcLe2tXn52x1aCwShX3DCItm4jiY4Wwmo7AX87JRUahhb7UasFqalqRo0y8OabLn74w9icup/fnciCS23oUbFwoZnTzrRw909bWLPGy5o13k//o+NVMFsPesGcIgO/PMtBRWeYykCE/GQtL29ws6MmxN6GIEWpWjwBiDMLurxRatURfjDbRmcwys62IPkODdMT9ej1Kp4r9WDQCKw6wf+t6iLFpqa6W6HdG+GhOU7OyLXwfrWXXe1BJiTHgp/17T3cWpjJZWt3oxJwbmYimzt6mJps48xUG7/aUcMQh56W5hCKGi4blPClbWh1WyNWjY6ugJ9oFDLNZq7Z+CEAfxw+mW2d7ezt9uKJhHh3+nyeqt6LQKATarJMFkY4nDT6PeRZbAghGGqPZ0VLPd5ImBxTLEhvD3SDgNdrVwFw5aDT6Qy6qHI3cl3BoqNq62mmRC7NOxWrNrZE0hP20BHowKQ20RJsYV3HOhJ0CaTqU/GGvWQYD088fDTqg/XMtM7kpw0/BeDO5DsJK2GKDcWMt4w/LEHyl9ELPWM1YwEojZbSprSRpcqiMlLJpfpL+1Q/SZK+XWSA9jXYsWMH77zzDueeey4jRnzxkvovU1paSm5uLqFQiNmzZ/PCCy+QkJCAwfDpxOfGnS3Y06xYk8zUbm7Enm6l9P0KkocksP/DKubcNY2NT20nPSsVa4aFrY/vQSCw5Zlp3dnBoDlZ1K1rItwTZcc/9zH+1hEUnZ9HyUsVrPvjNk5/bAaWdDO+zgAlL5WTNTudtEnJ7Hm2DEOcDledl0k/HEXh2TnUr2umbXcnu57eR0+dh/gCO0IFa36zhaLzB30mQKut9hLn1GG1anG5Qmxe187V38lHrVZRWRkiLzvMC89UUFHmpni4nWETs3n5+Wa0KgNhxYzaIhg9xk5ahpFf/SoWdK1d68Ptjq3ku+++ZHInGnj3XTdxiuDDD91sDIT50d+TUSrDBAKg0kJ9MMo/Sz34InDWWBNz7Vr2d4Z5fp0HTyBKbqIWq1GNiigjs3RcMdXKw8u62VQZIhiJ4HdCdWuYl5piAd93R9rY1RZkcqaBtY1+oorCxFQ9C3LMvLXbTXMwyqwsIwtyYr1EszKMjEvWo1ULNrb1kGbU8Xp9KxFF4ZpBaWzt6METjqIWgtXtHdxUlMzOZoUCq8KpKfEYtV+cj67R52F9ews35hVz29bVXJYzmMvXLyOKws+GjGVdWwfVXhf7erz8ZOgwhjriuMs8FqtGR3cowLaudl6o3U+ywYRRHXsaGWaL59GK3ZySkHowmNnSvo8ccwr3NjyOTqVlvDOWWf+l6g8ZETfoqNt7rvXTlBJN/iYUFFIMKdxfdj8Q6z1b37GeaYnTSDemH3W5h6oN1uKKumgONzPeNJ5MbSYfuD7AqXYy33b0iwM+rzRSCsBc7VxKIiXYVLavuEOSJEkGaF+L8vJyZsyYwXvvvYfVaiU3N5doNIpKdXTzUiKRCPv370er1fL++++TlZXF9u3bmTZt2sFrFEWham0dQxbENmPurush4Aqit+gYc+lwSt+voH5rA8GeMH53kPw52WxfUoIBA8Xn55MwJA7fXh+pUxPQhwx0tXTjbvCSvzCb8rdqKHmpgmGXFZIzJ52IP4Knzc/GB3Yw+Uej0RjVrPvjdub/fRqJw+JRFIXyt2sJuUNkTEslbUIiar2ampUNTP7pGGwZn90XtKyk5+Dw5sfLmgmFory1tI6oIhBRHetXtfHSf6oxmdR890fD+WR1M9u3hxg3wcrgAj2nnBLHT3/awr59XZ8pNz9fx49/nEBFRZD1b7kodmq46TYnTqeaVa928sjyHu5fEM/rn7gYM8vC3f9pIxiBCyaaGaMItCHBxx96SQwq6JwqhFA4e6wJf1hhaLqOZLua9eV+WnuiCI2K+GwVWalatu4MkmhUISKwoMBMaWeIYfE6atxhfj05HotOTbZWjQgL7p0ef8hkeUF874KPZ6qaOCsjicvX7kanEkxLtPNSTQv5FiNJBh03FmRg1WpwqP14qxWmpx95r1WAnlCAO7ev4arcIio9PZyWmsm1G1cQUqLcmj8cVVRFd1BFm1dHginID4qGAmDXxibIx+kMzEpKZ0ZiGuFD0lekGEwMstgZ5fi05+79+vVYdSYUFM7OmkaVp4k4nZUkQxx23RfX8cs0+ZtoDbQyIX4C6zvWk6hPxKl1clnRZSxtWEqGqW89aO3hdjZ6NwJwYfyFVAYrcUfdXBR/EVqVtk9lKorCyvBKAMaqx7I2urZP5UiS9O0jFwkcZ5FIhOrqaiZOnMjixYt5+eWXaWpqYsmSJezateuoyqipqcHpdFJXV8cVV1zBxIkTAXj55Zf55wP/IhQK07a/A5VaRXyOA4D2yk7aKjoZPH8Qao2Kwnm5bHt+D44UK13N3bRXd6Il9iKUMjaJsDpE6vAkCmblojIJUoen0FPvovTVCib+IJbvacUP16HWqhl6eSFd5T14mn2s/sUm6tc3kzgiHl97AEVREEJgSjLQWdFD/sJshEbQXeXG2+Lj3es/5s3LlhMJRYDYC1pZiYv8wVa2burgP49XUFBkY/ZpKQhF4dH7tvDAb2PpJX72+5Hk5FsoHmomI1PH/NPj8PsVFi+uY9++IHl5Wm69NZ7HH09j48Y8nnwynZEjDTQ0hKltCWHVqfjLX9p4f6UbDJCgF4ydbKRwsonvPNVGMAw3z7WRaRK8vddPwSl6dlUHCHoVphYaAIE3qHD6CBNJNjVPrXIzPs/Ajxfa0RgEi0aYWNqbWPa6YTZUaoW5WQbq3CGSzGr+MsOJpXfXhUynlmQ02HSH/0l2B8M0ev180BRbZHBDfjpLa1r5w6hB/GXsYO4szsGqjb3XmpSq55qhNtLMX9x7plOpmZucwZaOVta2N/GXfdvxRMJckJGPNxzk1cb9GDQKak2Aq7Pz0aiOXJZKCHSHnBNCcHn2YBL1sXlvoUgIk8bA0xXvAXB62iR8kSDr23YzzJF7TEOGh2r0NVJgKeDP+/4MwPfzv09PuAen3kkwGiROe+zbkIWVMDqh4yPXRwDk6/PZ5t1GljbrmOaefV5rtJWPQx8DYMbMCE3feswlSfr2kT1ox1lNTQ0JCQmYTCZyc3OZP38+f/3rX7Hb7bz77rvk5eWh1Wppbm7GYDCQkHD4PKLS0lLS0tLY9u5OgkMUcqfkMnz4cGZPnUP3Ch8bDdsJeIIUzo29CIb8YRp3tFC8sBBbSqzXIn1kCpuf3oliA3uula1P7EGNGn2cjmgkQtOeNqbeMh4E7F9RjcalRSgCX3sAtVFDXIGdjtIunpn5Bs4iB0MvKyRlTAItu9oxxuvJnpVOV4WL6hX1RENRhBAMPieXkhfK2f3sfjy9w35CLUidkIS/I4A52URTox8UhfWr23jvzXquumkQdoeOy89azeb1sQBlcLGNm/6vmHVrPVx+nYWXX2jlttvT+MlPWqitDaHRwI9+lMC1V1vZuDnEihUe2trCXHVVPCtXukGlMHuOhQXTLTzzoZtd+yNEVDDEpOGB97r5/X+7AbjnHAeaSJRX3vGycIqZf77TgzlJTcFwA74Q3HmGg82VAV7a4KHTE2VQkoa5w4wIIdA6oCeksLTcg0YFi/JMdPgiPFvioaonwoMzHaSYP/3zM+lVmPUq2lxRkuyfDYj+W9/KnFQnt24qRQATEuxohGBY3OFDZUIIsmxf/mdtUGu4OncIJd0dPFldyqbOVrJNVs5IyeLf1aXckj8ctaLBodUzNyX1qNv2561u2UmWJZlyVz3ppkTCSgS71kJnwM2slLF9Lnd3z26yzFls6NxAkj6JdGM6YxxjqPfVk25M71Pg1xhqxKAyUB+qJ14dj1AEDaEG7ky5s8+BJMDH4Y/x42ekeiTbw9u53HB5n8uSJOnbRQZoAywSiVBTU0Nubu4Rz5eXl5Ofn3/w+xEjRvDSSy/hcrnQarXcfvvtZGVl4XA4UKlU3HTTTQdfINorOonLsVNaWkphYSHaMgurl2xkYtIwMjMzGZszgZc+eRVngYPVD27CnmYlLstOR1UXAVcsYDsg6A5iz7DQWd5N9pw01v9lG2bMFJ6VQ8W6WrxeH/s/qiJ5SAIZ41JoXtdGV5UbvV1H/SdNnHLPGNp2drLzqX20l3Tx8c82xPbmFKBElMMe9+fFD3Yw7PICnEOd6Jx6zMmxCeArlzXx+ku1jBoXx/AxDsr3ubjnzu0oCiSlGLjjZ8UEoyYeuL+J6TNtPHB/C1l5Di67rB6AceOM/PGPyditIVa834ItIY6KiiCnnmpBrxcsXerizPOtdFkEVW0RrFHQJqi5d4adLdUhfv/fbtQqeOAyJ++ucqMqC7Ow2IDQCraUBrhospnqhhBjRhgoTtcyOFXLG1u8FKZomVVsQAiBoiisbQriCsVWZF5UaGF3exB/RGF3W5DvjrR+Jjg7YNEYE5bPbdxe7/Wzub0Hu05DMKpwZnoCm9u7mZfq/Mr/46+y29XJfaXbEMDvhk/kgX3buWPwKGYnZfBEZQlj4s3kmPs+X2prRyk7OysAuDzvNLQqLedkT6fZ30G+tW/DkKFoCF/Ex9L62Kbjt+XfRpm7jIsyL2JV26o+LxCoC9ZRG4ylLplhncEazxpGm0eTpT9yvrSjtTEcGzKdo53DrvAuRqoP321AkiTpSI5bgCaEKASeApxAO3CFoihln7vmXuBmoKH30CeKotxyvOo4EEpLS3nllVe48847MRoPT3FQXl7O6aeffvD7jo4OLBYL06dPR1EUPvjgA84991yKiopYsmQJdXV1ZGZmEvKH2fSfnRScnUk0GqVxVzPaoJ7uLhfrn91C0Zl5CJeaq35wOcGuENO/PxGVWrD2H1voqOoia1I6BuunSTbbKjuxOC0E6rrorOlGR2xrn/TJyZRvqWbG7ZPwdfgoW1FFd72Lxm0tjFo8FKNdz44nStnxr1Km/nwsmdNT8bb6KH2lkvK3a1AiCmqdCq1Zi86iRWfTYnQaYh/xekxJRhJHJ+Cud7NlZQvbXqoneWQCc4Mqxk9x8vRj5cxdkMqIMXG8/99Gnnq0HIBb7hxMQlo8u7Y188HHHmZNN3D1tU6274Srr441l5/+NJFRo/Q8+GA72dlacnIsvPbvLmpqQvz3vz2Ulgaw2VQUjTBQ1hqmoTNMZ32Iq+fZeHGDhw/3+DHpBY9clcCKXV7qy4KMs2rZvN6PZ3MUZ4aG2s4oKQkaTimMBWMaNZw73vyZ33G9O0KySc0Da2KJgM8eZGJHW5DRiTq6rRompHw2g/0BOYmfneekKArvNbQzzGHmnp2VAFyUncw79W0MsZmPVMRR29zRwg93rCWKwg8KR1Hv9RCvMzAvKYN4vZExcQls6mwl2XCEzSWPgjfsx6618lJ1bFXoqPh8EvVxPFL6GokGB6mmvgWY9b56CqwFPFj+IADj48bT6G9ELdTs6dnDWWln9ancrnDXwflnUyxTWNq5lBfzXuxTWQcoisKK0AoAhqmGoWiUo55nKkmSdDx70B4BHlYU5T9CiMuAR4HZR7ju34qi3Hkc6zWg9u7di0qlYu/evYwZM+Yz59xuN52dnaSnf7rKbNOmTYwePZrJkycDkJKSwuuvv05eXh5jx45l06ZNZGZm0l7RiRJV2Ll6N3l5eWx+YhfGdjveHh81//AwfO4Q9nbt5C+//jO//slvmTxrEjqjFoPDwPNXvs7QhbG9/7rqetj7dhkhXxhnfhzO/DhW3b8BDRqERqAyqMialE7KkNjQau4pmbTsbmf5tjXEF9lJHZHIpgd3oTVp2PlUKXGD7GTPSWf+36bRUdqF3qFHb9dR+3EDVQ1+2hp8OCNB1EYNvhGp7GzxU2gw8NHLpTiGOzk908y4G4vYUebllivX09zgY+7pKfz2Z7v58P0m9HoVf350HN0uwbZtPjJSTWTmmhg1JkJDo5obbqgjEoEf/ziByy6zU1SkZ948K48/3snUqSY2bPDx298msWdPkFNPtbJxoxd3SMFhEmwuCTBtlpkfLu2ipCFEil3Nny+MY8n73TTUBbl8lJn2mjA5OTqiOWpuPN9Okl3Duv0BRmZ/cUb5Ha0B3GGFrkCUSSl63KEolxRZ6AlEQQgMmqN7kV7V0sV7je3MTI6nzhug0GpiuN3MB40dZJmPHOQdDV84zMPlu6jw9DDKkcD85Ey2drVRaHUQ3zt/bEZiGoVWB6o+Du9taivBG/HhCfs4JWkEm9pLSTU6OSNjMoPt2X2u+/qO9bHHEPExxjEGm8aG2WJmXcc6EvWJZJv7VrZaqFnpik3mT9WmMtY8lnR931aDHlAeKWdzZDM6dHjxsli7+KtvkiRJ6nVcAjQhRBIwBpjXe+g5YIkQIlFRevdA+QYIh8O8//77CCF4+umnyc/Px2azEQqF0Gg0VFRUkJube3ArpnA4zLZt27juuusOlpGXl0deXh7Lly8/mOPM5/PRXt5JXJadT9btJN+ci15roL2xg4m/GYY/6uO7P7mZDRtiCUafePFxpp02lap1dZSvrCZ/dg5qvZrXbn+fNX/fRDgQ+Uy99eixYSNrRhquVjeD5n/6Ite6u4OKt2uZ/6fpxOfbAUgdn0jDhhbiHXY0BjWp4xIRKsHe5/czeHEe9iwrK360lrfWdRM1aBgV9HHea6fy6vtt6PRqnni4jPFxGibl6unRa3nvo3Ya67zs2NTBD38xnFuv3kjJ7h4SEvU8+MQEBhfb+OXd1TjsgrgUJwUFYTKz7Vx4cT1+v8L118eRnKwmP1+HEAKHQ82FF9r51a+aqawMkZamIxiEdeu85OZq2b7XT01FgImTLVz3dDstPRGGZmh58NJ47ljSRrc3itCrGJqr48PKMHqrIG2QjmGZejRqwbnjv/zPpt0f4V+7Y5vFX1lsYXG+GYtOxSM7XJyW88WJYz9vZJyFu4blctumWJqGGwvSWd7cyRC7GU0/emLebqrmiaoSDCo1fx01lbcaqij39HBlTtHBa7QqNVkm65eU8uWq3Y0srYlNjl+cPYsdHWX8ZvQN6NR9Ww15QKmrlOZALJfdgpQFbO3ayrzkebxS/wrX513fpzJdERfhaJjqYDUOtYPmYDNXx1/dr3oCrA6vRkFhimYKeyJ7uN7Qt/pJkvTtdLx60DKBekVRIgCKokSEEA29xz8foF0khDgVaALuURTlsHXpQggH4Pjc4b5NPhkgiqLw3HPP4Xa7+cMf/sC9997L/fffz9ixYykrK2Py5Mk0NjYyaNCnuZ92795Namoq8fHxPPfcc8ycOZPU1FTmzJnDzTffzMcff4xOp2PVqlXo99vIPy2bjhe6aNK3EZ/mIP8PWfzuoV+zdetWABITE/n+bd9n/vAzeOH6N7E4TQxdWEjJu/t58uyXCLiDAAxdWIA11QqKgqJA84fteMp95MxJp3pNHeNvHImiKNSvaaJhfQvDLi/EkvLpUFfOvAzqPmmip9ZD+uQU1L35tsZ9bzhqrRpFUfCGAbUKmxKhWafl9ZfrWLW5m462INpIlPyL0yj9uJFVKhODhjtoavDxw18O5+e3b6O9LcDgYhvf+3ERH69opmRXN51dMP90G5u3KyxYYOWqaxrp7o5y3nk2iot1bNjgQ1E6mD7dzKhRBtLTNUSjcMkldqqrQ+zeHWDLFl9sFadR4YozrNz4TActPRHmDjPyuwvieGGNG4NGkJKjJS9PjzFfx91TzSzf6yctRYNG/dW9SYGwQliBvR0h0sxqhju1WPVqGtxhglGFnK+YwH8ou05LY1s3K1u6sGjUnJ7q5Hd7qrg6L+2rb/4ST1fvA+CXwybwdkM1azuauSG3mNNT+jff6oAWXycmjYEPm7ZgUOvINaeSbkrod3DWHeomUZfI41WPAzDZOZm9rr1s797OuLhxxOvi+1RufbCe6lA1ANMs0+iIdDDc3PeVmxB7PjiwvdMs7Szaom3ohK5fZUqS9O1yoi0SeAT4jaIoISHEPOB1IcQQRVHaP3fd94F7jnvtvoCiKCxbtow1a9ZwzTXXkJGRwaJFizCZTDQ2NrJ8+XI+/DA2F2fGjBls2bKFjIwMGhoamDp1Kq2trZSWlqLVajnrrLN44403GDFiBIFAgJSUFP7250eYljCHVyqexRpKxOP24Jxq5ZLrLiIajZKSksL3b7udXKWQdS9sQskTTL5+NFue2c0/z3wef09sL8ziMwoYd8Vw2nd201Tegl7Rkzk1jYZXYjGyIUFP2thktv+zBFumBW+rj5HXDUFv++wLS+LQePQOPWqtCl+L/2AqjQOBWtueTupagyQW2igvc+NXq1j9TA32DDM/vHsof//5dp5f1o6/3Ev+bAdnnJ3GpnWdfO+ajYRCUWbPT+G7PxhMOBylqz3Irl1+XH4LU6Y72bytjT/8oZ2mpjCzZ5s5+2wLf/pTO888k4HNpuatt1w8/XQXFougvT3CNdfEYTarWbDAwtKlPUydauaVPV50ZjX7m8PEW1Q8dEU8T37spssfZeEMMxGtYG6xkV31IfboBI2+KAtzj26T7AZPmPerfQDcMNxGRBG4glE+rPMxOlF3TCsCFUXhldrY7+bKvFQqPT7CUYWxzv4lOv3X2JksTc1GoPB+Uw13Fo5iUfqRF7X0xY7OcnZ1xebMnZ05Hb1ai0PTt5xnh9rauZU4XRw13hqS9Elkm7Jp8DdQ7a1mYf7CPpfbFm5joyc2/2yyeTJTLVPRiP49NXoUDx+EYnuPpqhSmKSZ1K/yJEn69jleAVotkC6EUPf2nqmBtN7jBymK0nTI1x8IIWqBYcDKz5X3APDk545lAKsGuN5fSVEU3n33XaqqqsjIyDg472z48OG89957xMfH8+Mf/5jt27ezZcsWLr30UsLhME888QTt7e1cc801rFy5kjFjxrBr1y4ee+wxkpKSOPPMM3nppZcwGAxMLj6FhspadtTtYIx/CskzHVx1/VXERRO48rRrOG/xeYSDEcKhEGffdCabntjBvmWVB+s4aGY2U74zjvqtjSy79xMizVHs6TasE6x07u7G3xkgvtBOd30PE783Cm+Tn459XYy4uuiIe2VaUk04cqxojGoaNjYT/EOI+EI7GqMGnU3LjsdLCCRb0NgMTNLCO+UhHHY1i8ZZmTDEQvvpSfzt1Sa0Qs2o0Q5efLqGxx6KrRe56fuFnHFOOgowfU4K0+ckc9lFFXS4Atx0xTYWXzGYP97XQFycmu/cFMdLL/cwaZKJrq4oa9b46OmJMnSonvb2MAsX2jD35gOzWtVccUUc/mCU0E6FnbWx3sQZRQYe/qCHtWUBzh5nJj9FS1NXmJwkLSOz9Ty+0kWmU0Pcl+QVO1SnL8L7NbEAbXSijpKOEGsbA4xM1DHxCxYHfJEKt5f/VDYCcGZaAs9XN7EwIxGbtn9/tiaNFqtGS7mnh5GORM5My+lXeYeKRCP0BD08U/k+ABfmzqEr5CbLktyvchVFYUPHBkJKCIgNb+5z7aPWW8vijMXoVP3rnVrpjj3FZOoymWyd3K+yAOqidVREK3AIB+6om4m6if0uU5Kkb5fjEqApitIihNgGXAz8p/fz1s/PPxNCpCuKUt/79SggByg9QnldQNfn7h34ih+F1atXU19fz+zZs/nwww+Ji4slyczJyaG9vZ36+nrOOussPB4PmzZtwmg0sm/fPqqrq1Gr1bS2trJ7925OO+00PvroIwKBADfddBNPPfUUQggqKirwV0fpVNqZPPQUxk8dx2XXXYo2pONy7S0o7wpefvedw+qlNWoYe9lwCk/No2j+IAxWPcPPGYyvyk/FW/U4smxYE82s+/021DoVk38ymsq1tZjijJjijCQM+eJknyq1irRJyTgH24lGFMrfqsGeYyUciNC6s4ParW002e10VHWisekwxuswE2X82DhKXiknbmg8382z4w3Bf56tYePadrRaFb97cDSJKQbqar2ce9GBzbZV+IJqVGrBmefn8ve/x1ZG3n57PK+93kNlZRCLxUBnZ4TZs83k5OhQq2OpLo6kwxMlJ1HDO9tjQdSkfAObK/y8dWcyyQ4tgZDCn9/uItmuRq0SXDPDyhcUdUT7e0J0+KPk2DSUdATId+i4pMiC5QgJaL/KKzWt+CJR5qXEU+fzowBnZyR+5X1fxaDRUGhz8HRNGY+Mmd7nhQBHsqFtL56wj7KeWlKMTs5In8wj+2IrN/ujxltDsiGZxyofA2B6wnSWty5nmG0Yw2zD+lxuVInijXqpCFRgVVkZYx7T794zgFXh2HvF2drZtClt2FX2fpcpSdK3y/Ec4rwJeEoIcTfQCVwBIIR4G7hbUZRNwG+FEGOBCBAELj+0V+1EtH//fmbPns2+ffs+s/m5EAKNRoPJZEKv19PU1MSMGTPYsGEDzc3NqFQqhg4dyrp16ygqKqKkpISFCxfS1NREW1sb8fHxnHnmmSz7YBn1da2ErF4mjpvIFTdchs/n45biOxF7BMnFCaQUJxL0hgh6Q6DAkAX5pI1KpnpdPVkT0jBY9YT8YXa8uhd/a5ARlw3GnmFl5V2x3GXzlkxl1e82MucvU476cetTTFTt7WbKlYV0V7mIhKKkT0pm/3+rMU/LIFAfQRjCjJ+awJYNnYwaaoXCeOqiGt5/q5n33mzA748tVkhI1PO7h0bT2R4kd5CFIcPsBwPuurog9bU+zlhoR6vTsWFDG0lJagoKdOzbFyAjQ8vvfpdMUtJn5zd9UcDe7o6SGafmwz2xAC3VoeKhKxNIssf+FBo6w6Q4YsEZgMVw9IFVpz/C3o4wAPOzjejVKs7JN/fpzUMkqvDI/lhut6vyUnmqopEfDc3GqDm6nrwv4wmH+FflXhakZJFu6v/Q4wGKovB23RpaA10AXJo7DyEE3UEP8br+DcuWuErIMeWwtn0tWqEl3ZjOitYVnJV2Vr/enLWEW6gIxHK1TbNOo9BQ2K96HnBgeHOSZhJ5Im9AypQk6dvluAVoiqKUAIf18yuKsuCQr688XvUZCIqi0NLSQmJiIq+//jqXXHIJAE1NTTQ3N1NSUkI0GuWZZ55h+fLl3HzzzezcuZObbrqJaPTTPQyNRiOjR4/GbDbj9/u5//778fv9hMNhNBoNGo0GrVbLo489gsvl4rIzr8DwrgNFRJn5uwm88Yd3sJntZA5Lx251ULO5geaSNgrn5BKf5cDd5mXr87uJz7XjyLCTWBzPB7d+AsC8Jaewf1UlQU+InOmZR/3YmyOChx+pZM+GdpJzLQQ2tFHkDrPhk1Y+iRjodke49QeDqan0otOrePb5On7/+892hk6ensiZ56RjNmvYta2LO+8eitH42Sa58qMu3F4YOcrCL37RBsCddyZgtaqx29Xk5moOC86+TIc7QjgC9Z0REqwqBiVpDwZnAHUdYdLj+vZn0eqNsKI2FviNT9Zj0Ig+Bw9RFH5UnM1/69voDobINRuZmdy3SfCfZ1JryDRZOT11YBYFHCCE4PzsWcx4/1YALsydS3ughzi9FfUXbBd1tE5NPpV/Vf2LKFFmJc5iWcsybhl0C6nGvu90ALHEt5u9mwGYYp4yIL1nAL8x/oYpminYsDFRK4c3JUk6difaIoGTitvtRgiBy+VCrVaTlJRETU0Nzz33HAAJCQlEo1ECgQCjR49m7969B4Oza665hmAwyPr16ykrK2PNmjVH9TMXLVrEPOMitoX3MP7KEaza+DGR+DDWoJ0WbyPlpRWMmzwGb3uAtooulv3+E6KhCMVnFJCY7yTSGuXta2PzbWb9cRLJk52s/ccWHHk29JajD3ScGWZUiSY648wIV5SyzV18uKKFboOOkE7wu7+O5vKzP6GrM3jwHpNJzfDRcZy6IJVhoxwsf6+Rl56pZvGlWZx1QdZhwRnA8ve7SU3R0dOjsGOHn4wMDVOmGFmxwkNnZ4Rzzz22oaN2d5S63l6uGUVGVu/zU9IYoiBZS0GKlrqOCCOy+jafqdkXZk2jH7WAXJumXz07WpWKGwsymJMcxxVrdvOPScUDNhTpi4QptsWR3Y80Gl9kS+c+uoIuxsQPZpyziK0d+/o9vAmx4G95y3IA5ibN5ZzUcxhsH9zvci1qy8H8Z2NMY77i6qOXrk7nZffLmISJqw39T9khSdK3jwzQ+qG1tZWkpCRKSkoYMmQIQgj27t3LhAkT2LdvH6effjplZWWUl5eTkpLC1VdfTTQa5a677qKoqIjVq1dz3XXXccEFF7Bu3TpsNht+v5/29nYsKhsiItDqNAQ1AaKdAp1Zy+D4Yp4852XUOjVFF+Sy9g+rGWIeQdgXIcucx6CfZrDlwb2E/GHUWjU6sxa9TUfqiCSatrVR+kolSlRh/O3DyT0jA19TgLxJmcTnO44poBg6Io7TF6Wzd1c3190zFM13C/j1pasZOTudqFHDg38soaszyPjJTi65Jhdngp6KvT14O/28+Hg51XOTKStxMX9hGn5flEGFhwcLnR0B9pYEufnWVH7/+9h0xTvvTGDbNh9tbWFMJjUjRhzbxPtIVGHdfj8AEwfpOXecCQVBWXOIF9fH9tRcMOrYs+dHFYWSjjDhKExJ1eMLR8l39D+twi93VVJoMzHMMXBDkSaNljNScwasvAMUReGlqthq5Uty5+GLBPiwaQuLs2f1u+y93Xt5pyk217LYWjwgwRlAS6iFskAZZpWZocahA1ImxOa2dSldTNZM/trmx0qSdHKTAVo/HBje3Lt3L2eddRaKoqDX69mxYwfRaJSNGzdiMpnQaDSfCc7UajWrVq1Cp9Px1FNPcdZZZ5Gamsq6desoKSlBIzSE1qkJhUPYTQ7abU0Uu8aQMMFGR9UWAE65eSzr3tzIxMvGYK9MIuQLI4CtD5eSMjSRgjm51GxsIG1kMrUbG3jzB8vIHp9Jw4YWAJLGOPHW++jY183QiwoJusLH/PjnnJ7K3l3dfPBWA+lZJsZeko9ar8btCvPBW43Y7Fp+eO9Qaqu9JCTpWfOOG32rm1lzEukKKASDUaorPEyZkYj5CHtTfrS8A6NZh88HpaVB8vK0JCereemlHrKytOTna0lIOLYmbNLBh3tiAVqSTUVeshYhBPkpWk4fCd5AFJP+2Cf0N3kibG+L9RbOzTJS2hliekbftkk6oKLHw6b2Hp6f2vdJ8MdTs7+D9xo2oBFq5qWN5536tQx15JJtSel32TW+GrpCXRRaCimyFn31DUdprSeWZvEUyykYVH3fneHzBIJ0VTpTtEc/r1OSJOlQMkDrh5aWFoxGI36/n/T0dKqrq7nmmmuorKw84vV33XUXLS0t3HTTTSQmJvLXv/6VvLw8fvjDHzJhwgS2b9+OoijcdN4tPLnzaQal5lG+u4I0fRYhEWDsKWN48R9vY7DpSR2bSGhHkOkzJ7GldhcZUzIZcno+e94qY9hZg9EaNGSOT2PvW2VYUy0EXEHMVhPeFh+GeD1RJUp7aTcjrhpM9Yp6zClHn+H+gPRMEyPHxbFlYwe7d3Rx+0+LWfNxKz/6biyIvOs3wxk2Ko5Zp8bmCZWXutjwho+8QXZGZRrJyDJRVeGmeMThw5ThcJRVKzs599wE/vSn2Nyzn/88iWef7UarFYRCMHnysQVA3kAUb0ChqTtCkk1NqkN9WO9GX4IzgFZv6GD+s+EJOmpcYax9WLl5qAZ/gDHxNoY7Bn4o8n/h2YoPiCgRzsqchkDQ4G3jpsHnDEjZB4Y3F6QswKFzDEiZAOs9sa2jTrGcgkU1cL2UGqHBJEyMUI8YsDIlSfp2kQFaP7S0tGC32ykqKsLj8bB48WIqKysZOnQoEyZMoLu7m56eHjweD+effz7d3d04nU62bt1KeXk5qamp3HDDDdxxxx1cddVVfPLJJ7z44ou8+8wHXHjLYkqXl+O0JeCtCTL5hmLWLtkGwPTbJ9KwsYXkQUl4mnwoCiQMikNv0TH6wk+HafRmHaMuiH3fsq+dmg9im4qnTUjCXe9l3HeG07ixhc7ybjKmHdtk6zderiUSVph7eiqrVjQjFC2dnQGeebyS7q4QcxekMnt+Mmq1YN3qVvbt7aGspIeQ3YDJoiHeqWfiVAP5RTbg8CGg0j09uL0arDYNVVUhCgp0ZGRosFjUaLVgtaoYOvToksce0O6OUNsRWzk6c4iB3GNYXPBVKrojlHWFcOhVKFGFcwf1bzNzgEyTkevy006aIbJrC85ELVRkmpN5t2EdF+bMQasamKeYt5veBmC0YzQJ+oQBKRM4OP9skH4QRtWxv0n5IipFRb46nzR1/3Z9kCTp20sGaH2kKAqtra0oisLkyZO58MIL2bx5M7m5udx3332UlJRgNpuxWCyYTCacTie/+93vGDx4MIWFhbS1tdHW1kZBQQEFBQW8+uqrbN26leKCoYQ3qRk9YwQb/7ONSJfC6LGjSHIks27jTqwpFpyD4tj5ajMJ+fF01nQT8oVw5n1x3jIAe6qVnmo3ACljE0mfmkL5WzVEAhFG3VCMznz0wYqiKPzmrp2U73ORkKjnvEuzmTorkQ/fbeb9/zZgs2u5+MocVq1opacnROEQG9PnJHPB5dm8+HQ1p5+VxivP1nDORVlEIwqvPFcDwKixn65S3Lqxg4RkC8uXewC44goHGzb4AIXbb0+kqiqE03lszbeqNcT68tiuChMG6clJGJgALRBWqOwdIp6TaSTbpiHH3v+ysy1Gsi0DFzT8r9l1Flp8HbT4OpmRMoqsARjaBKjyVLG7ZzdWjZU8cx4q0b+eyQOiSpRL4y9ljWcNqdrUAQ2EgyJIsioZozh5fn+SJJ1YZIDWRz09PWg0GgwGA/feey9vv/02TqeTv/71r4wdO5b58+ej6t3QOhqN8sADD9Dc3MwDDzxAQUEB69evJyUlhTVr1nDJJZfwk5/8hIKCAi5fcCVbzNv5xfW/RbvHTGZCDuMuHMnz17wJwKl3T6NhZzNBd5CAO4i7xYMlyYLR8eXzZ/xdQRp7559ZMsw0r2sloTievPmZqNTH9oIXDitceUMezz5RScnuHh59YB+PPrAPde9elT/99TCWv9fEzXcMpnCIDZXq0xe+K64fRG21B51ORVKyASEEl1ydyyvPVtPZHmTG3GRamv20NAcZOiyO+x+I9fqNHm3gjTd6mDPHwqhRRkaNOvYXvm5vlI/2xuafZcSp0WoG5gW5oivAJw2xcqem6RmVNHBzmU42meZk9rlqmZU6dsDKtGlt/HnEnwlEA1gGYMuoA1RCxSVxl9AQbMAX9Q1YuQBmYeYOwx0DWqYkSd8uMkDro5aWFjIyMigpKeHxxx/HYDDw0EMPIYTgrbfeIhwOoygK0WgUt9vNW2+9xYwZMygvL+eTTz7BarVy4YUX8thjj3HRRRcxe/ZsLrjgAhqXtdGqNGH1xJEwwcm8C6bxynfeIRqOMvP/JuHv9hPsCWJJNqMo4O8JkjUx/SvrG/aHaNwUWwmpNatJn5BBypi+ZaXXalWMHBtHR0eAG24rZMfWTl59roae7tjQps2u5Yxz0ikaeuQUGLt3dFE84tNVo/FOPZddl8drL9Sy9IWaWPCWZqOzM4rfrzB9ugm/X8FgUDFnTt9foEMRaOmJkGJXk53Q/4SvB1T2hFleEwvQhsRr0R3FpurfRIqisKZ1J7cWLR6woU2AeF08WqFlv3c/SYakASsXoCnSREukZUCHNw8YqJ4+SZK+nWSA1kctLS0kJSVx6aWXolKpePDBB7nvvvs444wzWLx4MV1dXdTV1VFfX09TUxPt7e0UFxfjcDgoKCggPT0do9HIggULWLp0KXfccQc9rT08/+5rjL1+GPoNDk65YRyv3PwO/p4AI84rIrk4IbZjgDtI3rQs3C0eQPnK4U2ArnIXIU8Ye7YFe6a1z8HZAUIINq5pJ+iPMHlaImeem05rcwCrTYPbFSE1/cgT+MPhKPv29nDVjYM+c9xo1HDB5dm8999G9uzoYtTkTJ76QzsA55xjo6cnQkKChrS0vjfZytbYMOSsYgNOy8A1/e6gQncwSmGclsQj5HL7thBC8OdxtxKv79+uAUcSiAZoD7aTYhiYYdMDMnWZjDGNIV4zMEmAJUmSBsq399Wkn9ra2qioqEBRFM477zzWrl3LKaecQllZGb/85S8pKipixIgRLFq0iG3btuHxeLj22msPm+cydOhQysvLWbp0KdVr6ymaXMCIzNE4zqrn/V98TGd1N1kT05l0wxh6Gt0YrHqC/jCDT81j09M70Zm1xOc6vrK+nWXdAKSOT0Jr6v+v3e0OY7NrueiqPIqHO1j2TiOrVrRgNKlJzTAyfe6RN8eu3O8mMcmAzX54jjC1WsVpC1PJyXdQWRVhxQoPOp0gL09LcbGBDz5wo+vHysg1ZbH5Z+Ny9aTHD1zTL+mMbeB9apYR3cB1zJ2UEo1f/WahL2YmziReFz/gvVIZugwSNYk4Nc4BLVeSJKm/ZB98PyxbtgyAGTNmsGXLFtLS0hg7diy5ubk0NDTwzDPPcOutt/L0009z+umnf+Ek5NNOOw2/388gewEzF0+jem0d5R9WU7OhgfgcB2f9eS57396PAPzuIPZUK87cOCyJJuJz49AZv3xCetAbom1PbJPx5NEJ6O3HtvrxSMZPcTK42E5GVqynbPb8FC6+OpeF52eyZmUrXs+R86rFhje/OPt/Z2eU+/7UwY4dfqJROOMMK8XFBtrbI2Rk9H3ifTSqsLIkNs8oK0HT53QaR/JBTazckYk6Uo6Qz03qv9ZAK4XWgdkn8/M6wh3Eq2UPmiRJJxb5atIHiqJgNptZsWIFAAUFBSxYsIBbbrkFAJVKhVarRavVEo1GaW5uJjn5yD1KADqdjgsWXciqhzayf2U1WqOGLc/uQmfWcukzZ1O1pg4EuJo9BLxBkgbH3u3nTMkgEox+YbkHBLo/XSBgy7JgSetfAlWAuDg9U2Yksnl9B7NOTUGlEkyelkhVhZtTZiby5it1zJyXzLCRDlqa/ewvdbG/1IXbFeK0RV88Zy4uTs2FF9r56U9j9T3jDAuZmVp27PCTm9v3zPy760O0uaKkx6lxmAZujlinP8L6pgBaFSQYBM5j2FxdOnpzkucQVb66rR8rX9RHhAgmVf//JiRJkgaSDND6oKuri8bGRvx+P2PGjGHXrl0sWrQIm+3wuTcqlYr09C+fxK8oCpv+vYOumm6GLSrk2StfB2D2D6dgSzUTDoRpLW1n/BUj+PiBDRTOygEgfeTRzccJdAdp2dGBUAmMCQb01v5vQQQwbpKTJx8pZ/L0RAyG2NheU4OPYSPjGDk2jleerWHlsmZ0OhWDCq3MnJdMRpYJ9ZesGlWpBGazmq1b/TgcKnJztej1Kurqwkyd2vfcYh/tjfVyzRxixNzPBLKHcgUVLiq0EIwqqOj75ujSl9OpBqbNfl5HuIN4Tbz8vUmSdMKRAVoftLe3s3HjRiA2PLllyxZuvfXWPpcnhKC1rJ1pt0+gfEU1Tbtaic91MHxxEZWf1BHyhckal4a3w0/QEySh8Njmy7Tt7SQajpI4LB61YeAmSdnsOvIKrGzb1MGkqbFFB00NPgqH2EhINHDljYPwuMPEO3XH9AL49tsuABYvtlNZGcTrjeLxRElM7Hvdr59pJSNejUmvojB14BLUZtk0nJdvYn9XCPsADptKx4c76iZR078FM5IkSf8L8hWlD6LRKG+/HctsPnz4cIqLi9Hp+v4OX1EUik4rwNPi5b1ffAzAgl/Pwuw0Uba8iuQhCRQvKqTykxq0Ji3m+GNLCdC1/8ACgUS0hoGNycdPcbJ5fTvhcGz4qbHeR0parH4Ggxpngv6YgrNQKMpzz8XqO2uWicrKECtXekhP1/Srl8OgU9HjifL4hz04rQP7f7CzLcg7VV7SrQMX+EnHx2DDYM6NO/frroYkSdJhZIDWB01NTZSXlxMfH080GuX888/vV3lCCArn5rLj1RJ8nX4K5uSSOjKJ5b9djSnewMjFQ0gsiCfkC2NPs6DRH32AEfKFaNneAUDiCCfGhIFNopqcYiQx2cCend14PGGCgShx8X0PVtes8VJdHSIzU4vdrubqq+PYsMHXrwUCBygIClIGfqhsqFNLukVLuuVbvoRTkiRJGjByiLMP1q+PbbA8f/58hBAUFBT0qzxFUahYVc3aR7YgVIJTbhnHmz9YRkdVN+c9fBoavQaNXkPO5AxczZ5jKtvfEaBxY+8OAqkmLKkDPxl6wpQElr/TiMmsISXN0K+ermefjfWeXXSRnUBAYdAgPeeeayM1tf9NdU9DkJFZAx+g5dp1DHWGMWrk+x1JkiRpYMgA7Ri1t7cfTK8xbdo0iouL+z3BWFEUPvzjWpSowpSbx6K36Bh/1Uj83QFqNzaSNDgBe5oVR4YNJaocU9k9tR469nWj1qsxxOmOac/No5Wda0atEaz9uIWsnP5tEj53roWamhDTphlJ6t3MfPjwgen1a+wKc9V064CUdSgFGNKPXkNJkiRJ+jz5lv8YeL1etmzZwkcffYQQguzsbIYNG9bvcne9VkrZiipM8UYK5+aRNy2LjsouRl84lKELC9j6/G78rgDeDh+mY5x/1lke65FKHp2A6n/UwyOEYMKUBBrqfF+4g8DRmjjRQFaWhu7uMIMGDWzQ89SNiRQNQE/c5/nCUXJs8r2OJEmSNHDkq8oxMJlMdHR0EAwGmTBhAhkZGajV/Z93ZE2xkDoiifFXjiQajlC/tYmE/HgMNj0GWyLuVi9bn9+NzqQlfdQX51M7kq7yHgDSJiQOyA4CX6RoqJ3dO7pIy+zfnoZZWXp++csknnmmB6dzYOd0Hdi8fqBNSx/4fRwlSZKkbzfZg3aMVq5cCcCpp55Kfn7+gJSZOyWT8/52OuFAmJwpmVSvryd70qe50/KmZWGKM9Ba1nHMPWhNW9oAiB/swJT0v0vGqVIJzr80B4ul/0Oo1dVh8vKOLTWHJEmSJH2TyB60Y3Boeo2RI0diMg1cwBP0hGgtbcffHUBv1eFI/zTprRCCYWcNRm/VY044+p+pKAoN62MLBIyJRqwDsIPA8VBREWTo0IFdbSpJkiRJJxPZg3YMdu3aRXV1NQkJCYwZM2ZAy65YWUPWxHRq1teTM+nwnQfUWjVF8weh1h79sJ+r3oOnyYvBoUNn1qAZ4Bxo/wvRqEJVVYjcXJlTTJIkSfr2OvFfsU8g77//PhDbPeCrtm86VknFCZjiDbSWtJM0ZGAym+ttOs58ahZBVwi17uTI0RUMKkyZYsIic4pJkiRJ32KyB+0Y7Nu3D4BTTjkFvV4/oGVr9Wo8rV6yJqSjUg3M3Cu9TYezyEHlB7VoLSdHLG4wqJg+vX+pOiRJkiTpZCcDtGNw//338+ijjzJq1KgBL3vw/EH0NLpJH3N0G6AfrY593UQCEaypMuiRJEmSpJOFDNCOgaIorF+/HovFMuBl125qJHVYEjrjwM69cjV4UBs0/5MdBCRJkiRJ+t84Oca9ThBms5nBgweTlZU14GW7m90UzM0b8HILFuagUouTZg6aJEmSJEkyQDsmgUCAIUOGYLPZvvriYzT6ov7vSHAkIW8YR579f1K2JEmSJEn/G3KI8xgYDAYWLlz4dVfjmAS6g1gz5PwzSZIkSTqZyB60b7ic2ekoyrFtsC5JkiRJ0tfruPWgCSEKhRBrhRD7ej8XHOEatRDiYSFEuRBivxDiuuNVv28yuWWSJEmSJJ1cjucQ5yPAw4qiFAIPA48e4ZpLgXygAJgM3CuEyDluNZQkSZIkSToBHJcATQiRBIwBnus99BwwRgjx+ZT5FwKPKYoSVRSlFXgNOP941FGSJEmSJOlEcbzmoGUC9YqiRAAURYkIIRp6j7cecl0WUH3I9zW913yGEMIBOD53OGMA6ytJkiRJkvS1OVkXCXwfuOfrroQkSZIkSdL/wvGag1YLpAsh1BBbDACk9R4/VA2Qfcj3WUe4BuABIPdzH9MGtsqSJEmSJElfj+MSoCmK0gJsAy7uPXQxsLV3ntmhXgKuF0KoeuennQ28coTyuhRFqTr0A6j7X9VfkiRJkiTpeDqeQ5w3AU8JIe4GOoErAIQQbwN3K4qyCXgamAiU9d7zS0VRKo6yfDVAXZ2M0yRJkiRJOrEdEq8ccS9G8U1JYiqEmAqs+rrrIUmSJEmSdAymKYqy+vMHv0kBmh4YDzQCka+5OtI3VwaxNwLTkMPq0slLtmPpm+Bkb8dqIBXYqChK4PMnT9ZVnIfpfXCHRaCSNJAO2ZWhrnfuoySddGQ7lr4JviHtuPyLTsjN0iVJkiRJkk4wMkCTJEmSJEk6wcgATZIkSZIk6QQjAzRJOjZdwC96P0vSyaoL2Y6lk18X3+B2/I1ZxSlJkiRJkvRNIXvQJEmSJEmSTjAyQJMkSZIkSTrByABN+tYTQvxJCFEphFCEEMMOOX6GEGKLEGKnEGKlECK397hTCPG2EKJUCLFDCPFq796xB+4rFEKsFULs6/1c8HU8Lunb5Vjbce85gxDi70KIst7z/zjknGzH0nH1Zc+tX9Ye+3ruRCcDNEmC14DpQPWBA0KIOOAp4CJFUYYDjwF/7z2tAH9UFGWwoigjiCUa/P0h5T0CPKwoSiHwMPDo//wRSNKxt2OAPwJ+oLD3/M8POSfbsXS8fdlz65e1x76eO6HJRQKS1EsIUQWcqSjKLiHEeOBJRVGG9p6LB9qBREVR2j5333nAdxRFmSuESAL2AU5FUSJCCHXvfQWKorQez8cjfTsdbTsmFpjVARmKorg/V4Zsx9LX7sBzK3AJX9AeAdGXcydDO5Y9aJJ0ZPuAlN4XOIBLez9nHXqREEJF7Ankjd5DmUC9oigRgN7PDb3HJel4+7J2PIjYi9U9QohNQoiPhBBTe8/Ldix9rT733Ppl7bGv5054MkCTpCNQFKUbuBC4XwixCUgilmsn9LlLHwLcwJLjWkFJOgpf0Y41QB6wVVGUccCPgFeFELavqbqSdKhv/XPrN2azdEkaaIqiLAOWAQghkoEfABUHzgsh/kSsG32hoijR3sO1QLoQQn1Il3pa73FJOu6+pB0bgTDwXO9164UQbUAhUINsx9LX5PPPrUKIL3teFX08d8KTPWiS9AWEECm9n1XAb4FHFEXx9B77DTAWOFtRlMCBexRFaQG2ARf3HrqYWA/FCT/fQfpm+qJ23DuX8kNgXu/5QmI9bPtlO5a+Lkd6bv2y9tjXc8fhofSbXCQgfesJIR4EzgVSgDagXVGUoUKIfwKnADrgfeB2RVH8QoihwC5i83t8vcVUKopyTm95RcRWzsUBncAViqKUHs/HJH37HGs77r0nD/gX4CQ27HmXoijv9J6T7Vg6rr7sufXL2mNfz53oZIAmSZIkSZJ0gpFDnJIkSZIkSScYGaBJkiRJkiSdYGSAJkmSJEmSdIKRAZokSZIkSdIJRgZokiRJkiRJJxgZoEmS9I0ghJgphKg75PvdQoiZ/b12gOrm7k1pIUmSdFTkTgKSJH0jHdgg/FivFULcC+QrinJZX36uEOIj4D+KovzzkPItfSlLkqRvL9mDJkmSJEmSdIKRAZokSScMIcSPhRAvf+7YX3uz5COEuFoIsVcI4RJCVAghbvySsqqEEHN7vzYKIZ4UQnQKIfYA4490rRDiNOCnwIW9w5LbhRDnCyE2f+76/xNCvHaEn/kbYBqwpPf+Jb3HFSFEfu/XTwoh/iaEeKf3mk+EEClCiAd661cihBh9SJlpQohXhBCtQohKIcRtx/J/KknSyUkGaJIknUieAxYIIWwAvZsbXwA823u+BTgTsAFXA/cLIcYcRbn3AIN6P+YDVx7pIkVR3iW2X+ULiqJYFEUZCbwB5Aohhhxy6WXA00e4/y5gFfDd3vu/+wX1uQD4GZAABIC1wJbe718G/tL7+FXAm8B2IB2YA3xfCDH/KB6zJEknMRmgSZJ0wlAUpZpYoHJ276HZgFdRlHW9599SFKVciVlJbG/JaUdR9AXAbxRF6VAUpRZ48BjqFABeIBaUHdgvMAf479GWcQRLFUXZ3Lsn5lLAryjKvxVFifT+rAM9aOOBREVRfqkoSlBRlArgMeCifvxsSZJOAjJAkyTpRPMscHHv15fwae8ZQojThRDrhBAdQoguYAGxXqevkgbUHvJ99THW6SngEiGEAC4HXuwN3Pqq+ZCvfUf4/sCigmwgTQjRdeCD2BBscj9+tiRJJwG5ilOSpBPNS8CfhRAZwDnAZAAhhB54BbgCeF1RlFDvPDBxFGU2ApnA7t7vs77kWuWwA4qyTggRJNZbd0nvx1Hf3w+1QKWiKAUDWKYkSScB2YMmSdIJRVGUVuAj4Aliwcne3lM6QA+0AmEhxOnAqUdZ7IvAT4QQcb2B361fcm0zkNM7/+tQ/waWAGFFUVZ/xf0DlfNsA9AjhPhR70IHtRBimBBi/FfeKUnSSU0GaJIknYieBeZyyPCmoigu4DZiwVYnsV6sN46yvF8QG9asJDZv7bAJ/od4qfdzuxBiyyHHnwaGfcW9AH8FFveuyDzquW5H0jsnbSEwiljd24B/Avb+lCtJ0olPKMpA9sZLkiR9MwkhjMRWkY5RFKXs666PJEnfbLIHTZIk6eh8B9gogzNJko4HuUhAkiTpKwghqogtRjj7662JJEnfFnKIU5IkSZIk6QQjhzglSZIkSZJOMDJAkyRJkiRJOsHIAE2SJEmSJOkEIwM0SZIkSZKkE4wM0CRJkiRJkk4wMkCTJEmSJEk6wfw/8OlVduQXtg8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "climpred.PerfectModelEnsemble(nor)[v].plot(show_members=show_members, cmap=cmap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7ffefa2afe20>"
      ]
     },
     "execution_count": 78,
     "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": [
    "nor[v].mean(\"member\").diff(\"lead\").plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "r=4 # number of initializations, i.e. 5 year steps, to compute mean over"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':' '}, xlabel='validity time', ylabel='fgco2'>"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "climpred.PerfectModelEnsemble(nor-nor.mean('member').rolling(init=r,center=True).mean())[v].plot(show_members=show_members, cmap=cmap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "metric = 'acc'\n",
    "comparison = 'm2m'\n",
    "dim=['member','init','x','y']\n",
    "reference=\"climatology\"#[]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "# no detrending\n",
    "climpred.PerfectModelEnsemble(nor)[v].verify(metric=metric, comparison=comparison, dim=dim, skipna=True, reference=[])[v].plot(label='no detrending')\n",
    "\n",
    "# detrended rolling\n",
    "climpred.PerfectModelEnsemble(nor-nor.rolling(init=r,center=True).mean())[v].chunk(-1).verify(metric=metric, comparison=comparison, dim=dim, skipna=True, reference=[])[v].plot(label=f\"rolling {r}\")\n",
    "\n",
    "# detrended poly\n",
    "climpred.PerfectModelEnsemble(nor[v]).compute().map(climpred.stats.rm_poly,dim=\"init\",deg=2).verify(metric=metric, comparison=comparison, dim=dim, skipna=True, reference=[])[v].plot(label=\"poly deg 2\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "metric=\"rmse\"\n",
    "# no detrending\n",
    "climpred.PerfectModelEnsemble(nor)[v].verify(metric=metric, comparison=comparison, dim=dim, skipna=True, reference=[])[v].plot(label='no detrending')\n",
    "\n",
    "# detrended rolling\n",
    "climpred.PerfectModelEnsemble(nor-nor.rolling(init=r,center=True).mean())[v].chunk(-1).verify(metric=metric, comparison=comparison, dim=dim, skipna=True, reference=[])[v].plot(label=f\"rolling {r}\")\n",
    "\n",
    "# detrended poly\n",
    "climpred.PerfectModelEnsemble(nor[v]).compute().map(climpred.stats.rm_poly,dim=\"init\",deg=2).verify(metric=metric, comparison=comparison, dim=dim, skipna=True, reference=[])[v].plot(label=\"poly deg 2\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ffa5164f400>,\n",
       " <matplotlib.lines.Line2D at 0x7ffa5164f6d0>]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# no detrending\n",
    "climpred.PerfectModelEnsemble(nor)[v].verify(metric=metric, comparison=comparison, dim=dim, skipna=True, reference=[])[v].plot()\n",
    "\n",
    "# detrended\n",
    "climpred.PerfectModelEnsemble(nor-nor.rolling(init=r,center=True).mean())[v].verify(metric=metric, comparison=comparison, dim=dim, skipna=True, reference=reference)[v].plot(hue=\"skill\" if reference!=[] else None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "#dm=[1,2]\n",
    "#climpred.PerfectModelEnsemble(nor.drop_sel(member=dm)-nor.sel(member=dm).mean())[v].plot(show_members=show_members, cmap=cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load data\n",
    "## initialized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "open IPSL-CM6A-LR\n",
      "open MPI-ESM1-2-LR\n",
      "open EC-Earth3\n",
      "open GFDL_ESM2M\n",
      "open CanESM5\n",
      "open MIROC-ES2L\n",
      "open CNRM-ESM2-1\n"
     ]
    }
   ],
   "source": [
    "ds_list = []\n",
    "detrend_noresm=True\n",
    "for model in models:\n",
    "    print(f'open {model}')\n",
    "    ds = xr.open_zarr(f'/work/bm1124/m300524/4C_multi_model/{model}/initialized.zarr')[varlist]#.isel(init=slice(None,10), member=slice(None,5), lead=slice(None,5))\n",
    "    ds['member']=range(ds.member.size)\n",
    "    ds['init']=range(ds.init.size)\n",
    "    if model == 'NorESM1' and detrend_noresm:\n",
    "        with xr.set_options(keep_attrs=True):\n",
    "            ds=(ds-ds.rolling(init=5,center=True).mean()+ds.mean(['member','lead','init'])).chunk({'init':-1}).persist()#.isel(init=slice(2,-2))\n",
    "    #print('\\n model =',model,'\\n',ds.sizes)\n",
    "    ds_list.append(ds.isel(lead=slice(None,6)).astype(\"float32\"))\n",
    "ds = xr.concat(ds_list, 'model')\n",
    "ds['model'] = models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "List of variables and corresponding units:\n",
    "\n",
    "- fgco2: kg m-2 s-1\n",
    "- spco2: Pa # todo: convert ppm\n",
    "- tos: C\n",
    "- intpp: mol m-2 s-1\n",
    "- sos: psu\n",
    "- mlotst: m\n",
    "- lai: 1\n",
    "- nbp: kg m-2 s-1\n",
    "- pr: kg m-2 s-1\n",
    "- tas: K\n",
    "- uas: m/s\n",
    "- vas: m/s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def set_unit(ds):\n",
    "    \"\"\"Grab metadata from cmorized output.\"\"\"\n",
    "    init='2028'\n",
    "    member=2\n",
    "    table='*'\n",
    "    model='EC-Earth3'\n",
    "    for v in ds.data_vars:\n",
    "        url = f'/work/bm1124/m300524/4C_multi_model/{model}/{v}/{v}_{table}_{model}-CC_piControl_s{init}1101-r{member}i1p1f1_*.nc'\n",
    "        attrs = xr.open_mfdataset(url)[v].attrs\n",
    "        del attrs['history']\n",
    "        #print('set attrs', attrs)\n",
    "        ds[v].attrs = attrs\n",
    "    return ds\n",
    "\n",
    "ds = set_unit(ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = ds.chunk(\"auto\").persist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_regions_all = xr.open_dataset(\"initialized_regions.nc\")\n",
    "indices = xr.open_dataset(\"initialized_indices.nc\")\n",
    "ds_composites = xr.open_dataset(\"composites.nc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 5x5 grid, ds is 1x1\n",
    "def regrid(ds,deg=5):\n",
    "    ds_out = xe.util.grid_global(deg, deg)\n",
    "    regridder = xe.Regridder(ds['tos'], ds_out, \"bilinear\", ignore_degenerate=True, periodic=False)\n",
    "    ds5 = regridder(ds)\n",
    "    return ds5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "if recompute:\n",
    "\n",
    "    ds5 = regrid(ds)\n",
    "\n",
    "    ds5 = ds5.compute().chunk('auto')\n",
    "\n",
    "    ds5.to_zarr('/work/bm1124/m300524/4C_multi_model/initialized_5x5.zarr', consolidated=True, mode='w')\n",
    "else:\n",
    "    ds5 = xr.open_zarr('/work/bm1124/m300524/4C_multi_model/initialized_5x5.zarr', consolidated=True)[varlist]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#ds5.isel(lead=0,init=3,member=0)['tos'].plot(col='model')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## control"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "zcontrol = '/work/bm1124/m300524/4C_multi_model/control.zarr'\n",
    "control = xr.open_zarr(zcontrol,consolidated=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add MIROC\n",
    "zc = '/work/bm1124/m300524/4C_multi_model/MIROC-ES2L/control.zarr'\n",
    "miroccontrol = xr.open_zarr(zc)\n",
    "\n",
    "control = xr.concat([control, miroccontrol.expand_dims('model').assign_coords(model=['MIROC-ES2L'])],'model')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "control = control.assign_coords(lon=control.lon.isel(model=0,drop=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add NorESM1\n",
    "# control = xr.concat([control, control.isel(model=0,drop=True).assign_coords(model=['NorESM1'])],'model')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "if 'NorESM1' in models:\n",
    "\n",
    "    noresm_control = xr.open_zarr('/work/bm1124/m300524/4C_multi_model/NorESM1/hist.zarr').isel(member=range(4)).chunk({'member':'auto','x':-1,'y':-1,'time':'auto'})\n",
    "\n",
    "    # ds=ds-ds.rolling(init=5,center=True).mean()+ds.mean(['member','lead','init'])\n",
    "    noresm_control = (noresm_control-noresm_control.mean('member').rolling(time=5*5,center=True).mean()+noresm_control.mean(['time','member'])).isel(time=slice(13,-13)).compute()\n",
    "\n",
    "    noresm_control = noresm_control.stack(timemember=('member','time')).assign_coords(timemember=np.arange(noresm_control.time.size*noresm_control.member.size)).rename({'timemember':'time'}).isel(time=slice(None,300))\n",
    "\n",
    "    noresm_control = noresm_control.assign_coords(time=np.arange(2000,2000+noresm_control.time.size))\n",
    "\n",
    "    for v in ['intpp','lai','uas','vas']:\n",
    "        noresm_control[v] = noresm_control['pr'].where(noresm_control['pr']==-10)\n",
    "\n",
    "    noresm_control = noresm_control.drop('mlotst')\n",
    "\n",
    "    control = xr.concat([control, noresm_control.assign_coords(model=['NorESM1'])],'model')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "control['time']=xr.cftime_range(start='2000',periods=control.time.size, freq='YS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "if recompute:\n",
    "    control5 = regrid(control.chunk({'x':-1,'y':-1})).persist()\n",
    "    control5.to_zarr('/work/bm1124/m300524/4C_multi_model/control_5x5.zarr', consolidated=True, mode='w')\n",
    "else:\n",
    "    control5 = xr.open_zarr('/work/bm1124/m300524/4C_multi_model/control_5x5.zarr', consolidated=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### climate indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "outlines = dict()\n",
    "outlines[1] = ((-120, -5), (-170, -5), (-170, 5), (-120, 5))\n",
    "outlines[2] = ((-90, -5), (-150, -5), (-150, 5), (-90, 5))\n",
    "#outlines[3] = ((210, -5), (160, -5), (160, 5), (210, 5))\n",
    "outlines[4] = ((-80, -10), (-90, -10), (-90, 0), (-80, 0))\n",
    "outlines[5] = ((180, 20), (-180, 20), (-180, 90), (180, 90))\n",
    "outlines[6] = ((180, 20), (-180, 20), (-180, 90), (180, 90))\n",
    "outlines[7] = ((180, -90), (-180, -90), (-180, -20), (180, -20))\n",
    "outlines[8] = ((180, 20), (-180, 20), (-180, 90), (180, 90))\n",
    "outlines[9] = ((180, -15), (-180, -15), (-180, 15), (180, 15))\n",
    "\n",
    "abbrevs = dict()\n",
    "abbrevs[1] = \"nino34\"\n",
    "abbrevs[2] = \"nino3\"\n",
    "#abbrevs[3] = \"nino4\"\n",
    "abbrevs[4] = \"nino12\"\n",
    "abbrevs[5] = \"NAO\"\n",
    "abbrevs[6] = \"AO\"\n",
    "abbrevs[7] = \"AAO\"\n",
    "abbrevs[8] = \"PNA\"\n",
    "abbrevs[9] = \"MJO\"\n",
    "\n",
    "names = dict()\n",
    "names[1] = \"Niño 3.4\"\n",
    "names[2] = \"Niño 3\"\n",
    "#names[3] = \"Niño 4\"\n",
    "names[4] = \"Niño 1.2\"\n",
    "names[5] = \"North Atlantic Oscillation\"\n",
    "names[6] = \"Arctic Oscillation\"\n",
    "names[7] = \"Antarctic Oscillation\"\n",
    "names[8] = \"Pacific / North American Pattern\"\n",
    "names[9] = \"Madden Julian Oscillation\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<GeoAxesSubplot:>"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from regionmask.core.regions import Regions\n",
    "\n",
    "numbers = sorted(outlines.keys())\n",
    "\n",
    "source = (\n",
    "    \"Climate Prediction Center\" \"(https://www.cpc.ncep.noaa.gov/products/precip/CWlink/)\"\n",
    ")\n",
    "\n",
    "climate_indices = Regions(\n",
    "    outlines,\n",
    "    numbers=numbers,\n",
    "    names=names,\n",
    "    abbrevs=abbrevs,\n",
    "    name=\"Climate Indices\",\n",
    "    source=source,\n",
    ")\n",
    "\n",
    "climate_indices.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in outlines.keys():\n",
    "#    print(outlines[i], names[i], outlines[i][1][1],outlines[i][2][1], outlines[i][2][0],outlines[i][0][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat = ds.tos.isel(init=0,member=0,lead=0,model=0,drop=True).lat.mean('x').compute()\n",
    "lon = ds.tos.isel(init=0,member=0,lead=0,model=0,drop=True).lon.mean('y').compute()\n",
    "#ds[\"lat\"]=lat\n",
    "#ds[\"lon\"]=lon\n",
    "ds_swapped = ds.assign_coords(lon=lon,lat=lat).swap_dims({\"y\":\"lat\",\"x\":\"lon\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "control_swapped = control.assign_coords(lon=lon,lat=lat).swap_dims({\"y\":\"lat\",\"x\":\"lon\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calc_indices(ds):\n",
    "    ind = xr.Dataset()\n",
    "    for i in outlines.keys():\n",
    "        ind[abbrevs[i]] = ds.tos.sel(lat=slice(outlines[i][1][1],outlines[i][2][1]),lon=slice(outlines[i][2][0],outlines[i][0][0])).weighted(np.cos(np.rad2deg(ds.lon))).mean([\"lon\",\"lat\"])\n",
    "        ind[abbrevs[i]].attrs.update({\"long_name\":names[i]})\n",
    "    return ind"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "indices_control = calc_indices(control_swapped).compute()\n",
    "\n",
    "with xr.set_options(keep_attrs=True):\n",
    "    indices_control = ((indices_control-indices_control.mean([\"time\"]))/indices_control.std([\"time\"])).astype(\"float32\")\n",
    "\n",
    "indices_control.to_netcdf(\"control_indices.nc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "indices = calc_indices(ds_swapped).compute()\n",
    "\n",
    "with xr.set_options(keep_attrs=True):\n",
    "    indices = ((indices-indices.mean([\"init\",\"member\",\"lead\"]))/indices.std([\"init\",\"member\",\"lead\"])).astype(\"float32\")\n",
    "\n",
    "indices.to_netcdf(\"initialized_indices.nc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "indices = xr.open_dataset(\"initialized_indices.nc\")\n",
    "indices_control = xr.open_dataset(\"control_indices.nc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':' '}, xlabel='validity time', ylabel='Niño 3.4'>"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "climpred.PerfectModelEnsemble(indices).isel(model=-1)[\"nino34\"].plot(show_members=True,cmap=\"terrain\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "indices_skill = climpred.PerfectModelEnsemble(indices).verify(metric=\"mae\",comparison=\"m2e\",dim=[\"member\",\"init\"],reference=\"climatology\", skipna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "indices_skill = climpred.PerfectModelEnsemble(indices).verify(metric=\"acc\",comparison=\"m2e\",dim=[\"member\",\"init\"],reference=\"climatology\", skipna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "indices_skill.isel(skill=0).nino34.plot(hue=\"model\")\n",
    "plt.ylabel(\"Niño3.4 index ACC []\")\n",
    "sns.despine()\n",
    "plt.title(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 1.0891264542937278)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 626.225x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "indices_skill.to_array().isel(variable=0).plot(hue=\"model\",col=\"skill\")#,col=\"variable\")\n",
    "plt.ylim([0,None])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [],
   "source": [
    "indices_skill.lead.attrs[\"units\"]=\"years\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 274,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "climpred.horizon.horizon(indices_skill.sel(skill=\"initialized\")<indices_skill.drop_sel(skill=\"initialized\")).to_dataframe().T.plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3min 55s, sys: 1min 12s, total: 5min 7s\n",
      "Wall time: 54.4 s\n"
     ]
    }
   ],
   "source": [
    "index = indices#.nino34\n",
    "threshold = 1\n",
    "\n",
    "index_comp = xr.full_like(index, 0)\n",
    "\n",
    "index_comp = index_comp + (index_comp+1).where(index >= threshold, other=0) + (index_comp-1).where(index <= -threshold, other=0)\n",
    "\n",
    "def flatten(ds):\n",
    "    return ds.stack(ndim=(\"init\",\"member\",\"lead\")).assign_coords(ndim=np.arange(ds.init.size*ds.member.size*ds.lead.size))\n",
    "\n",
    "anomaly = ds_swapped-ds_swapped.mean([\"init\",\"member\",\"lead\"])\n",
    "\n",
    "ds_composites = []\n",
    "for model in models:\n",
    "    ds_composites_m = []\n",
    "    for v in index_comp.data_vars:\n",
    "        composite = flatten(anomaly.sel(model=model)).groupby(flatten(index_comp[v].sel(model=model)))\n",
    "        ds_composites_m.append(composite.mean(\"ndim\").isel({index_comp[v].name:[0,2]}).rename({index_comp[v].name:\"composite\"}).assign_coords(composite=[\"neg\",\"pos\"]))\n",
    "    ds_composites_m = xr.concat(ds_composites_m,\"index\").assign_coords(index=index_comp.data_vars)\n",
    "    ds_composites.append(ds_composites_m)\n",
    "ds_composites = xr.concat(ds_composites,\"model\").assign_coords(model=models)\n",
    "\n",
    "%time ds_composites = ds_composites.compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {},
   "outputs": [
    {
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       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (lat: 180, lon: 360, model: 6, index: 8, composite: 2)\n",
       "Coordinates:\n",
       "  * lat        (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
       "  * lon        (lon) float64 -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5\n",
       "  * model      (model) &lt;U13 &#x27;IPSL-CM6A-LR&#x27; &#x27;MPI-ESM1-2-LR&#x27; ... &#x27;MIROC-ES2L&#x27;\n",
       "  * composite  (composite) &lt;U3 &#x27;neg&#x27; &#x27;pos&#x27;\n",
       "  * index      (index) &lt;U6 &#x27;nino34&#x27; &#x27;nino3&#x27; &#x27;nino12&#x27; &#x27;NAO&#x27; ... &#x27;AAO&#x27; &#x27;PNA&#x27; &#x27;MJO&#x27;\n",
       "Data variables:\n",
       "    tos        (model, index, composite, lat, lon) float32 0.0 0.0 ... -0.001192\n",
       "    intpp      (model, index, composite, lat, lon) float32 0.0 ... -2.765e-10\n",
       "    fgco2      (model, index, composite, lat, lon) float32 0.0 ... -4.391e-13\n",
       "    sos        (model, index, composite, lat, lon) float32 0.0 0.0 ... 0.02192\n",
       "    spco2      (model, index, composite, lat, lon) float32 0.0 0.0 ... 0.01892\n",
       "    lai        (model, index, composite, lat, lon) float32 nan nan ... nan nan\n",
       "    nbp        (model, index, composite, lat, lon) float32 nan nan ... nan nan\n",
       "    cLand      (model, index, composite, lat, lon) float32 nan nan ... nan nan\n",
       "    pr         (model, index, composite, lat, lon) float32 3.395e-08 ... 1.35...\n",
       "    tas        (model, index, composite, lat, lon) float32 0.132 ... 0.1385\n",
       "    uas        (model, index, composite, lat, lon) float32 -0.05053 ... 0.01327\n",
       "    vas        (model, index, composite, lat, lon) float32 0.04068 ... -0.009361</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-8fce3626-7959-4db4-8130-4470e0d3a659' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8fce3626-7959-4db4-8130-4470e0d3a659' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>model</span>: 6</li><li><span class='xr-has-index'>index</span>: 8</li><li><span class='xr-has-index'>composite</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-13641e44-65fc-424e-a70d-d2bf8cb0e626' class='xr-section-summary-in' type='checkbox'  checked><label for='section-13641e44-65fc-424e-a70d-d2bf8cb0e626' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-2d8f28d9-dff3-4425-b1d2-040103a4a69b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d8f28d9-dff3-4425-b1d2-040103a4a69b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d7b36eb-1dca-425d-a7f0-ab5648f3bbef' class='xr-var-data-in' type='checkbox'><label for='data-4d7b36eb-1dca-425d-a7f0-ab5648f3bbef' 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([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</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'>-179.5 -178.5 ... 178.5 179.5</div><input id='attrs-f755d10b-f9af-481f-ac6e-ef099d278811' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f755d10b-f9af-481f-ac6e-ef099d278811' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11215d69-e9ca-470e-a13c-f0fa158558e9' class='xr-var-data-in' type='checkbox'><label for='data-11215d69-e9ca-470e-a13c-f0fa158558e9' 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([-179.5, -178.5, -177.5, ...,  177.5,  178.5,  179.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>&lt;U13</div><div class='xr-var-preview xr-preview'>&#x27;IPSL-CM6A-LR&#x27; ... &#x27;MIROC-ES2L&#x27;</div><input id='attrs-f36c125f-fc92-4187-8086-b21c7556a70d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f36c125f-fc92-4187-8086-b21c7556a70d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32874d18-b1af-4046-8373-7255cbdbf88b' class='xr-var-data-in' type='checkbox'><label for='data-32874d18-b1af-4046-8373-7255cbdbf88b' 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;IPSL-CM6A-LR&#x27;, &#x27;MPI-ESM1-2-LR&#x27;, &#x27;EC-Earth3&#x27;, &#x27;GFDL_ESM2M&#x27;, &#x27;CanESM5&#x27;,\n",
       "       &#x27;MIROC-ES2L&#x27;], dtype=&#x27;&lt;U13&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>composite</span></div><div class='xr-var-dims'>(composite)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;neg&#x27; &#x27;pos&#x27;</div><input id='attrs-63859864-125c-420c-a6ea-93ef083b362d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63859864-125c-420c-a6ea-93ef083b362d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-660fb623-ae6e-4f39-8fff-e728079cde94' class='xr-var-data-in' type='checkbox'><label for='data-660fb623-ae6e-4f39-8fff-e728079cde94' 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;neg&#x27;, &#x27;pos&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;nino34&#x27; &#x27;nino3&#x27; ... &#x27;PNA&#x27; &#x27;MJO&#x27;</div><input id='attrs-e0328605-248d-403d-be11-ac43ee9c8705' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e0328605-248d-403d-be11-ac43ee9c8705' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db2add91-b89b-41e1-aaab-560d9bdb487a' class='xr-var-data-in' type='checkbox'><label for='data-db2add91-b89b-41e1-aaab-560d9bdb487a' 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;nino34&#x27;, &#x27;nino3&#x27;, &#x27;nino12&#x27;, &#x27;NAO&#x27;, &#x27;AO&#x27;, &#x27;AAO&#x27;, &#x27;PNA&#x27;, &#x27;MJO&#x27;],\n",
       "      dtype=&#x27;&lt;U6&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a362a8e-0bf2-474a-9590-7c4029e7572d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a362a8e-0bf2-474a-9590-7c4029e7572d' class='xr-section-summary' >Data variables: <span>(12)</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>tos</span></div><div class='xr-var-dims'>(model, index, composite, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... -0.001195 -0.001192</div><input id='attrs-250c39c1-3791-4c81-a964-2d85063999c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-250c39c1-3791-4c81-a964-2d85063999c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddcf7aa3-524a-4420-ad8d-82dd0e75e8ba' class='xr-var-data-in' type='checkbox'><label for='data-ddcf7aa3-524a-4420-ad8d-82dd0e75e8ba' 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([[[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          ...,\n",
       "          [-9.45286767e-04, -8.09470424e-04, -6.73285744e-04, ...,\n",
       "           -1.34554866e-03, -1.21320481e-03, -1.07986573e-03],\n",
       "          [ 8.50627432e-04,  9.17744648e-04,  9.84961982e-04, ...,\n",
       "            6.50950649e-04,  7.17364543e-04,  7.83822557e-04],\n",
       "          [ 2.36716634e-03,  2.39524711e-03,  2.41865753e-03, ...,\n",
       "            2.28320248e-03,  2.31102109e-03,  2.33909604e-03]],\n",
       "\n",
       "         [[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "...\n",
       "            3.46173975e-03,  3.46585712e-03,  3.46967229e-03],\n",
       "          [ 3.04612867e-03,  3.04455077e-03,  3.04258801e-03, ...,\n",
       "            3.04938806e-03,  3.04863439e-03,  3.04741878e-03],\n",
       "          [ 2.58675334e-03,  2.58492096e-03,  2.58300477e-03, ...,\n",
       "            2.59142229e-03,  2.58989120e-03,  2.58825882e-03]],\n",
       "\n",
       "         [[            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          [            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          [            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          ...,\n",
       "          [-1.77523040e-03, -1.77382189e-03, -1.77184597e-03, ...,\n",
       "           -1.77890481e-03, -1.77801051e-03, -1.77683914e-03],\n",
       "          [-1.49324199e-03, -1.48872472e-03, -1.48412480e-03, ...,\n",
       "           -1.50552846e-03, -1.50155893e-03, -1.49759336e-03],\n",
       "          [-1.18864200e-03, -1.18574360e-03, -1.18279457e-03, ...,\n",
       "           -1.19743706e-03, -1.19460246e-03, -1.19175285e-03]]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>intpp</span></div><div class='xr-var-dims'>(model, index, composite, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 ... -2.752e-10 -2.765e-10</div><input id='attrs-6a82b3c9-ddac-4a4c-875f-bca0e1ae72b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6a82b3c9-ddac-4a4c-875f-bca0e1ae72b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-147b997e-096d-4351-b714-9ae4a5b06ae2' class='xr-var-data-in' type='checkbox'><label for='data-147b997e-096d-4351-b714-9ae4a5b06ae2' 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([[[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          ...,\n",
       "          [ 2.19331234e-10,  2.15904045e-10,  2.12460091e-10, ...,\n",
       "            2.29505429e-10,  2.26132765e-10,  2.22741076e-10],\n",
       "          [ 2.48152499e-10,  2.48204846e-10,  2.48303211e-10, ...,\n",
       "            2.48242649e-10,  2.48175980e-10,  2.48143783e-10],\n",
       "          [ 2.35096415e-10,  2.36467457e-10,  2.37265541e-10, ...,\n",
       "            2.30907779e-10,  2.32315833e-10,  2.33712438e-10]],\n",
       "\n",
       "         [[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "...\n",
       "            7.15964177e-10,  7.15731197e-10,  7.15449255e-10],\n",
       "          [ 1.09703169e-09,  1.10170040e-09,  1.10656373e-09, ...,\n",
       "            1.08417719e-09,  1.08827325e-09,  1.09255527e-09],\n",
       "          [ 1.19585408e-09,  1.19703192e-09,  1.19822841e-09, ...,\n",
       "            1.19244636e-09,  1.19356125e-09,  1.19469612e-09]],\n",
       "\n",
       "         [[            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          [            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          [            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          ...,\n",
       "          [ 3.07701573e-11,  2.32435304e-11,  1.38958298e-11, ...,\n",
       "            5.55430875e-11,  4.69440112e-11,  3.86783799e-11],\n",
       "          [-2.62123157e-10, -2.69430145e-10, -2.76895451e-10, ...,\n",
       "           -2.41146408e-10, -2.47980775e-10, -2.54974875e-10],\n",
       "          [-2.77708773e-10, -2.78938428e-10, -2.80162976e-10, ...,\n",
       "           -2.73989637e-10, -2.75233281e-10, -2.76474232e-10]]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fgco2</span></div><div class='xr-var-dims'>(model, index, composite, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 ... -4.351e-13 -4.391e-13</div><input id='attrs-02f010ad-80c1-4d61-aa30-d4be457fac1d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-02f010ad-80c1-4d61-aa30-d4be457fac1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc4a1312-7818-4c2d-b0b6-27505d282f16' class='xr-var-data-in' type='checkbox'><label for='data-bc4a1312-7818-4c2d-b0b6-27505d282f16' 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([[[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          ...,\n",
       "          [ 8.29420029e-13,  8.07334451e-13,  7.85465605e-13, ...,\n",
       "            8.96919691e-13,  8.74217799e-13,  8.51717568e-13],\n",
       "          [ 9.37828049e-13,  9.24889722e-13,  9.12224289e-13, ...,\n",
       "            9.77962177e-13,  9.64407482e-13,  9.51007068e-13],\n",
       "          [ 5.57067738e-13,  5.56563313e-13,  5.55861130e-13, ...,\n",
       "            5.58211246e-13,  5.57891027e-13,  5.57508195e-13]],\n",
       "\n",
       "         [[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "...\n",
       "            1.36667804e-12,  1.35988497e-12,  1.35293025e-12],\n",
       "          [ 1.37308459e-12,  1.37081882e-12,  1.36832462e-12, ...,\n",
       "            1.37858193e-12,  1.37696094e-12,  1.37512820e-12],\n",
       "          [ 1.48532900e-12,  1.48493956e-12,  1.48454881e-12, ...,\n",
       "            1.48643142e-12,  1.48607082e-12,  1.48570501e-12]],\n",
       "\n",
       "         [[            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          [            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          [            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          ...,\n",
       "          [-5.34670832e-13, -5.31587740e-13, -5.27497642e-13, ...,\n",
       "           -5.44822542e-13, -5.41297042e-13, -5.37910862e-13],\n",
       "          [-5.11892286e-13, -5.13707566e-13, -5.15531411e-13, ...,\n",
       "           -5.06489219e-13, -5.08281568e-13, -5.10085192e-13],\n",
       "          [-4.43135329e-13, -4.47145901e-13, -4.51138828e-13, ...,\n",
       "           -4.31068104e-13, -4.35099060e-13, -4.39120338e-13]]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sos</span></div><div class='xr-var-dims'>(model, index, composite, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.02197 0.02192</div><input id='attrs-9335f7f2-3385-4fca-b02c-b138af9c3600' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9335f7f2-3385-4fca-b02c-b138af9c3600' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae181c2b-c7ab-43d2-9bd3-eacfc5b2ab1d' class='xr-var-data-in' type='checkbox'><label for='data-ae181c2b-c7ab-43d2-9bd3-eacfc5b2ab1d' 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([[[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          ...,\n",
       "          [ 1.62133407e-02,  1.41577721e-02,  1.20896529e-02, ...,\n",
       "            2.22548097e-02,  2.02620700e-02,  1.82547942e-02],\n",
       "          [-1.63595770e-02, -1.74940675e-02, -1.86373331e-02, ...,\n",
       "           -1.30447391e-02, -1.41386418e-02, -1.52436448e-02],\n",
       "          [-4.77145575e-02, -4.81354147e-02, -4.85399254e-02, ...,\n",
       "           -4.64544855e-02, -4.68702316e-02, -4.72863577e-02]],\n",
       "\n",
       "         [[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "...\n",
       "           -6.36129901e-02, -6.36936799e-02, -6.37664795e-02],\n",
       "          [-5.59612140e-02, -5.59392273e-02, -5.59026040e-02, ...,\n",
       "           -5.60260639e-02, -5.60089201e-02, -5.59948869e-02],\n",
       "          [-4.75712307e-02, -4.75441217e-02, -4.75097895e-02, ...,\n",
       "           -4.76609021e-02, -4.76297885e-02, -4.76023331e-02]],\n",
       "\n",
       "         [[            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          [            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          [            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          ...,\n",
       "          [ 3.26216295e-02,  3.25893797e-02,  3.25543322e-02, ...,\n",
       "            3.26893218e-02,  3.26687731e-02,  3.26452069e-02],\n",
       "          [ 2.74355989e-02,  2.73436084e-02,  2.72578001e-02, ...,\n",
       "            2.76619326e-02,  2.75904946e-02,  2.75075715e-02],\n",
       "          [ 2.18634382e-02,  2.18025427e-02,  2.17465479e-02, ...,\n",
       "            2.20237393e-02,  2.19739787e-02,  2.19179690e-02]]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spco2</span></div><div class='xr-var-dims'>(model, index, composite, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.01896 0.01892</div><input id='attrs-b6937872-7661-4749-8ff9-5bef4cfeb7c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6937872-7661-4749-8ff9-5bef4cfeb7c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e7e3835-0881-4bd4-bb1c-63dcb7593001' class='xr-var-data-in' type='checkbox'><label for='data-3e7e3835-0881-4bd4-bb1c-63dcb7593001' 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([[[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          ...,\n",
       "          [ 1.17402554e-01,  1.17843799e-01,  1.18285939e-01, ...,\n",
       "            1.16095006e-01,  1.16525918e-01,  1.16962411e-01],\n",
       "          [ 1.31371289e-01,  1.31875634e-01,  1.32380903e-01, ...,\n",
       "            1.29853711e-01,  1.30360335e-01,  1.30871296e-01],\n",
       "          [ 1.41857222e-01,  1.42143533e-01,  1.42274946e-01, ...,\n",
       "            1.41016945e-01,  1.41296640e-01,  1.41578272e-01]],\n",
       "\n",
       "         [[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "...\n",
       "           -7.64583871e-02, -7.65069276e-02, -7.65456930e-02],\n",
       "          [-6.88286498e-02, -6.87836483e-02, -6.87272102e-02, ...,\n",
       "           -6.89278394e-02, -6.88995793e-02, -6.88669160e-02],\n",
       "          [-6.06428571e-02, -6.05752505e-02, -6.05086423e-02, ...,\n",
       "           -6.08310066e-02, -6.07709996e-02, -6.07056879e-02]],\n",
       "\n",
       "         [[            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          [            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          [            nan,             nan,             nan, ...,\n",
       "                       nan,             nan,             nan],\n",
       "          ...,\n",
       "          [ 3.36529501e-02,  3.37800235e-02,  3.39105055e-02, ...,\n",
       "            3.32138501e-02,  3.33697386e-02,  3.35167125e-02],\n",
       "          [ 2.56137010e-02,  2.56175846e-02,  2.56208293e-02, ...,\n",
       "            2.55665518e-02,  2.55891439e-02,  2.56046075e-02],\n",
       "          [ 1.88783947e-02,  1.88363492e-02,  1.87905934e-02, ...,\n",
       "            1.90034360e-02,  1.89617202e-02,  1.89226363e-02]]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lai</span></div><div class='xr-var-dims'>(model, index, composite, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-203a383c-d853-40aa-805a-301f50d9fab0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-203a383c-d853-40aa-805a-301f50d9fab0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39c42328-d4a8-4a5e-910b-bf1d059fac89' class='xr-var-data-in' type='checkbox'><label for='data-39c42328-d4a8-4a5e-910b-bf1d059fac89' 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([[[[[nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          ...,\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "         [[nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          ...,\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan]]],\n",
       "\n",
       "\n",
       "        [[[nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "...\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan]]],\n",
       "\n",
       "\n",
       "        [[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "          [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "          [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "          ...,\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "         [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "          [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "          [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "          ...,\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan]]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbp</span></div><div class='xr-var-dims'>(model, index, composite, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a22d302e-0d83-4457-ba19-e03a3d00052b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a22d302e-0d83-4457-ba19-e03a3d00052b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0154d22-0ff6-4755-90da-99628314b5ed' class='xr-var-data-in' type='checkbox'><label for='data-d0154d22-0ff6-4755-90da-99628314b5ed' 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([[[[[           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan],\n",
       "          [           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan],\n",
       "          [           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan],\n",
       "          ...,\n",
       "          [           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan],\n",
       "          [           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan],\n",
       "          [           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan]],\n",
       "\n",
       "         [[           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan],\n",
       "          [           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan],\n",
       "          [           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan],\n",
       "...\n",
       "                      nan,            nan,            nan],\n",
       "          [           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan],\n",
       "          [           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan]],\n",
       "\n",
       "         [[ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,\n",
       "            0.0000000e+00,  0.0000000e+00,  0.0000000e+00],\n",
       "          [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,\n",
       "            0.0000000e+00,  0.0000000e+00,  0.0000000e+00],\n",
       "          [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,\n",
       "            0.0000000e+00,  0.0000000e+00,  0.0000000e+00],\n",
       "          ...,\n",
       "          [           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan],\n",
       "          [           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan],\n",
       "          [           nan,            nan,            nan, ...,\n",
       "                      nan,            nan,            nan]]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cLand</span></div><div class='xr-var-dims'>(model, index, composite, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-48af28ea-b6e2-4b61-9d7c-a51b70af4f05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48af28ea-b6e2-4b61-9d7c-a51b70af4f05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf6a74d3-9977-43ce-9fb3-9651f5b79725' class='xr-var-data-in' type='checkbox'><label for='data-bf6a74d3-9977-43ce-9fb3-9651f5b79725' 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([[[[[nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          ...,\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "         [[nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          ...,\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan]]],\n",
       "\n",
       "\n",
       "        [[[nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "...\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan]]],\n",
       "\n",
       "\n",
       "        [[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "          [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "          [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "          ...,\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "         [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "          [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "          [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "          ...,\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan],\n",
       "          [nan, nan, nan, ..., nan, nan, nan]]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(model, index, composite, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.395e-08 3.334e-08 ... 1.353e-08</div><input id='attrs-d69993d2-35b7-4876-bf0c-3c975a4d5aa0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d69993d2-35b7-4876-bf0c-3c975a4d5aa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6587e9c6-6745-4e95-8e96-d49b5ac6037a' class='xr-var-data-in' type='checkbox'><label for='data-6587e9c6-6745-4e95-8e96-d49b5ac6037a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[[ 3.39514692e-08,  3.33420864e-08,  3.27323058e-08, ...,\n",
       "            3.40571624e-08,  3.41375497e-08,  3.42167681e-08],\n",
       "          [ 3.71326436e-08,  3.67870783e-08,  3.64398005e-08, ...,\n",
       "            3.48931195e-08,  3.58551056e-08,  3.68220974e-08],\n",
       "          [ 3.33702737e-08,  3.81813550e-08,  4.29901696e-08, ...,\n",
       "            2.03335553e-08,  2.45806717e-08,  2.88367250e-08],\n",
       "          ...,\n",
       "          [ 2.07461204e-09,  1.81994442e-09,  1.51225321e-09, ...,\n",
       "            6.86199542e-08,  4.21170085e-08,  1.55045292e-08],\n",
       "          [-6.36437179e-08, -6.77827998e-08, -7.19549149e-08, ...,\n",
       "           -1.02237991e-07, -8.59321148e-08, -6.96970446e-08],\n",
       "          [-3.87620744e-08, -4.07565679e-08, -4.27417568e-08, ...,\n",
       "           -6.36147277e-08, -5.32826938e-08, -4.29384102e-08]],\n",
       "\n",
       "         [[-1.14790746e-08, -1.07048947e-08, -9.92765603e-09, ...,\n",
       "           -1.02063211e-08, -1.08717284e-08, -1.15345804e-08],\n",
       "          [-2.96918046e-08, -2.85241040e-08, -2.73480882e-08, ...,\n",
       "           -2.53529002e-08, -2.73242993e-08, -2.92923925e-08],\n",
       "          [-4.20907149e-08, -4.43406520e-08, -4.65776111e-08, ...,\n",
       "           -3.29603722e-08, -3.61663908e-08, -3.93658937e-08],\n",
       "...\n",
       "            8.15813017e-09,  7.90132404e-09,  7.63095276e-09],\n",
       "          [-9.65796221e-10, -1.25791677e-09, -1.54969337e-09, ...,\n",
       "           -1.85584159e-10, -4.38972941e-10, -6.93333224e-10],\n",
       "          [-2.60795985e-09, -2.70539835e-09, -2.80268608e-09, ...,\n",
       "           -2.34811459e-09, -2.43246134e-09, -2.51741339e-09]],\n",
       "\n",
       "         [[ 2.98716996e-10,  2.48563059e-10,  1.99895864e-10, ...,\n",
       "            4.27450769e-10,  3.85047660e-10,  3.44330175e-10],\n",
       "          [-1.00566337e-08, -1.02075646e-08, -1.03534994e-08, ...,\n",
       "           -9.67206315e-09, -9.79823067e-09, -9.92002835e-09],\n",
       "          [-3.51353506e-08, -3.59026835e-08, -3.66304640e-08, ...,\n",
       "           -3.34129169e-08, -3.39704904e-08, -3.44913182e-08],\n",
       "          ...,\n",
       "          [-4.87372809e-09, -4.91951546e-09, -4.94459895e-09, ...,\n",
       "           -4.10898293e-09, -4.41819248e-09, -4.70608486e-09],\n",
       "          [ 8.37715497e-09,  8.43593462e-09,  8.49807513e-09, ...,\n",
       "            8.60583604e-09,  8.50093596e-09,  8.39828207e-09],\n",
       "          [ 1.35274112e-08,  1.35469733e-08,  1.35676457e-08, ...,\n",
       "            1.36034215e-08,  1.35685720e-08,  1.35341809e-08]]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(model, index, composite, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.132 0.1343 ... 0.1385 0.1385</div><input id='attrs-cd7e3c33-32c2-4ad5-a3a4-d5b497e69891' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd7e3c33-32c2-4ad5-a3a4-d5b497e69891' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d13bcd0-5569-4ad5-9539-c2b928d7bc68' class='xr-var-data-in' type='checkbox'><label for='data-2d13bcd0-5569-4ad5-9539-c2b928d7bc68' 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([[[[[ 1.31990507e-01,  1.34259641e-01,  1.36509404e-01, ...,\n",
       "            1.26490638e-01,  1.28225252e-01,  1.29982606e-01],\n",
       "          [ 1.21473238e-01,  1.25616908e-01,  1.29793093e-01, ...,\n",
       "            1.11376800e-01,  1.14601441e-01,  1.17788695e-01],\n",
       "          [ 1.10075228e-01,  1.07279971e-01,  1.04519650e-01, ...,\n",
       "            1.16670534e-01,  1.14622802e-01,  1.12477571e-01],\n",
       "          ...,\n",
       "          [ 3.24635319e-02,  3.30467224e-02,  3.36413570e-02, ...,\n",
       "            3.05378716e-02,  3.11485287e-02,  3.18176262e-02],\n",
       "          [ 4.10864241e-02,  4.14671339e-02,  4.17768843e-02, ...,\n",
       "            3.91726680e-02,  3.98767106e-02,  4.05476391e-02],\n",
       "          [ 3.50912474e-02,  3.51759344e-02,  3.53144854e-02, ...,\n",
       "            3.43450941e-02,  3.46310437e-02,  3.49052437e-02]],\n",
       "\n",
       "         [[ 3.89299495e-03,  4.43552947e-03,  4.95386589e-03, ...,\n",
       "            7.58176856e-03,  5.99053875e-03,  4.41657193e-03],\n",
       "          [ 1.15749473e-02,  1.28186159e-02,  1.40957301e-02, ...,\n",
       "            2.09873077e-02,  1.69804115e-02,  1.29508590e-02],\n",
       "          [-1.12264613e-02, -1.05555374e-02, -9.84577183e-03, ...,\n",
       "           -1.44218677e-03, -5.46912011e-03, -9.57465917e-03],\n",
       "...\n",
       "           -2.41554365e-01, -2.41682768e-01, -2.41799384e-01],\n",
       "          [-2.38405302e-01, -2.38453612e-01, -2.38503784e-01, ...,\n",
       "           -2.38158047e-01, -2.38249093e-01, -2.38331586e-01],\n",
       "          [-2.29003653e-01, -2.29034975e-01, -2.29036510e-01, ...,\n",
       "           -2.28945598e-01, -2.28961006e-01, -2.28978887e-01]],\n",
       "\n",
       "         [[-5.99904060e-02, -6.01859577e-02, -6.03621937e-02, ...,\n",
       "           -5.93755506e-02, -5.95504381e-02, -5.97703643e-02],\n",
       "          [-8.34058896e-02, -8.40130895e-02, -8.45765993e-02, ...,\n",
       "           -8.16195458e-02, -8.22282061e-02, -8.28002691e-02],\n",
       "          [-1.08285040e-01, -1.09207831e-01, -1.10127300e-01, ...,\n",
       "           -1.05551466e-01, -1.06466144e-01, -1.07352115e-01],\n",
       "          ...,\n",
       "          [ 1.46534607e-01,  1.46653801e-01,  1.46753460e-01, ...,\n",
       "            1.46136403e-01,  1.46290287e-01,  1.46465346e-01],\n",
       "          [ 1.44514754e-01,  1.44574046e-01,  1.44623086e-01, ...,\n",
       "            1.44275457e-01,  1.44361883e-01,  1.44449666e-01],\n",
       "          [ 1.38515398e-01,  1.38519451e-01,  1.38551101e-01, ...,\n",
       "            1.38410613e-01,  1.38454542e-01,  1.38493776e-01]]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas</span></div><div class='xr-var-dims'>(model, index, composite, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.05053 -0.05032 ... 0.01327</div><input id='attrs-a9843056-5cde-46c1-bada-7e8fb96bf287' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a9843056-5cde-46c1-bada-7e8fb96bf287' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecd4813d-3a38-4baf-a5b2-2fa12c6f63ff' class='xr-var-data-in' type='checkbox'><label for='data-ecd4813d-3a38-4baf-a5b2-2fa12c6f63ff' 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([[[[[-5.05327210e-02, -5.03150672e-02, -5.01007512e-02, ...,\n",
       "           -4.87821810e-02, -4.95235547e-02, -5.02688698e-02],\n",
       "          [-3.03846877e-02, -2.98845060e-02, -2.93890610e-02, ...,\n",
       "           -2.72881817e-02, -2.86250804e-02, -2.99645942e-02],\n",
       "          [-1.94020290e-02, -1.91173572e-02, -1.88407321e-02, ...,\n",
       "           -2.20865123e-02, -2.10666321e-02, -2.00516321e-02],\n",
       "          ...,\n",
       "          [-1.76963545e-02, -1.95933953e-02, -2.14888267e-02, ...,\n",
       "           -1.08493995e-02, -1.32099735e-02, -1.55682899e-02],\n",
       "          [-1.54591659e-02, -1.70834716e-02, -1.87065583e-02, ...,\n",
       "           -8.39860179e-03, -1.08986199e-02, -1.33972680e-02],\n",
       "          [ 4.47291583e-02,  4.41105179e-02,  4.35039438e-02, ...,\n",
       "            4.75395285e-02,  4.65323776e-02,  4.55365069e-02]],\n",
       "\n",
       "         [[-8.01540387e-04, -7.18690513e-04, -6.35696168e-04, ...,\n",
       "           -6.00604690e-04, -6.97426731e-04, -7.94463675e-04],\n",
       "          [-6.16997480e-04, -6.33957388e-04, -6.50272821e-04, ...,\n",
       "           -5.36158506e-04, -5.65443363e-04, -5.94068959e-04],\n",
       "          [-4.30161599e-04, -1.42146240e-03, -2.41193152e-03, ...,\n",
       "           -2.19239737e-03, -1.28973857e-03, -3.86179687e-04],\n",
       "...\n",
       "           -1.71359569e-01, -1.71567291e-01, -1.71794370e-01],\n",
       "          [-1.22161113e-01, -1.22107841e-01, -1.22012496e-01, ...,\n",
       "           -1.22094214e-01, -1.22156858e-01, -1.22177422e-01],\n",
       "          [-2.98485570e-02, -2.98307966e-02, -2.97990087e-02, ...,\n",
       "           -2.98262630e-02, -2.98471581e-02, -2.98539996e-02]],\n",
       "\n",
       "         [[ 2.13060062e-03,  2.08156300e-03,  2.03338289e-03, ...,\n",
       "            2.26827292e-03,  2.22254149e-03,  2.17754557e-03],\n",
       "          [-3.30029917e-03, -3.44733242e-03, -3.59191489e-03, ...,\n",
       "           -2.88729160e-03, -3.02451383e-03, -3.15934978e-03],\n",
       "          [-2.84621119e-03, -2.89258314e-03, -2.94752745e-03, ...,\n",
       "           -2.66593928e-03, -2.72417278e-03, -2.78993021e-03],\n",
       "          ...,\n",
       "          [ 9.12627876e-02,  9.16450024e-02,  9.20437798e-02, ...,\n",
       "            8.99584889e-02,  9.03934091e-02,  9.08456221e-02],\n",
       "          [ 6.59368858e-02,  6.61619008e-02,  6.63627684e-02, ...,\n",
       "            6.51672781e-02,  6.54444695e-02,  6.56977594e-02],\n",
       "          [ 1.33520458e-02,  1.34270657e-02,  1.34940306e-02, ...,\n",
       "            1.30954701e-02,  1.31878760e-02,  1.32723171e-02]]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas</span></div><div class='xr-var-dims'>(model, index, composite, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.04068 0.04019 ... -0.009361</div><input id='attrs-44f2e14f-1bc8-43d2-9d65-c9d5524f69b6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-44f2e14f-1bc8-43d2-9d65-c9d5524f69b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57529137-0706-4a78-b2ff-20d1858d3241' class='xr-var-data-in' type='checkbox'><label for='data-57529137-0706-4a78-b2ff-20d1858d3241' 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([[[[[ 4.06840183e-02,  4.01875153e-02,  3.96887884e-02, ...,\n",
       "            3.96694653e-02,  4.01763357e-02,  4.06800024e-02],\n",
       "          [ 5.40944301e-02,  5.32343760e-02,  5.23754060e-02, ...,\n",
       "            5.39894924e-02,  5.42033203e-02,  5.44172190e-02],\n",
       "          [ 4.84286398e-02,  4.92858514e-02,  5.01461886e-02, ...,\n",
       "            5.89113235e-02,  5.45477048e-02,  5.01826704e-02],\n",
       "          ...,\n",
       "          [-1.00294262e-01, -9.94191542e-02, -9.85427499e-02, ...,\n",
       "           -1.01396807e-01, -1.01131894e-01, -1.00865252e-01],\n",
       "          [-9.79126170e-02, -9.75789949e-02, -9.72445980e-02, ...,\n",
       "           -9.90810394e-02, -9.86810401e-02, -9.82799903e-02],\n",
       "          [-4.15719710e-02, -4.14927378e-02, -4.14024554e-02, ...,\n",
       "           -4.20335308e-02, -4.18714732e-02, -4.16982397e-02]],\n",
       "\n",
       "         [[ 7.50390161e-03,  8.06496013e-03,  8.62658862e-03, ...,\n",
       "            9.02183820e-03,  8.30257684e-03,  7.58281862e-03],\n",
       "          [ 3.95628437e-03,  5.12593426e-03,  6.30146312e-03, ...,\n",
       "            7.09713111e-03,  5.60217444e-03,  4.11500130e-03],\n",
       "          [-7.33119808e-03, -7.24733714e-03, -7.15304865e-03, ...,\n",
       "           -7.25016929e-03, -7.30546797e-03, -7.35048810e-03],\n",
       "...\n",
       "            1.92621909e-02,  2.24522892e-02,  2.56482735e-02],\n",
       "          [ 2.49438006e-02,  2.72945482e-02,  2.96394955e-02, ...,\n",
       "            1.79638248e-02,  2.02877279e-02,  2.26079840e-02],\n",
       "          [ 1.38211912e-02,  1.46048954e-02,  1.53866420e-02, ...,\n",
       "            1.14942677e-02,  1.22689884e-02,  1.30425030e-02]],\n",
       "\n",
       "         [[ 3.39858467e-03,  3.40434373e-03,  3.40879266e-03, ...,\n",
       "            3.39050917e-03,  3.39335087e-03,  3.39513249e-03],\n",
       "          [ 1.21712228e-02,  1.21888444e-02,  1.22029157e-02, ...,\n",
       "            1.21475728e-02,  1.21562565e-02,  1.21610034e-02],\n",
       "          [ 1.24496203e-02,  1.25413649e-02,  1.26438616e-02, ...,\n",
       "            1.25585254e-02,  1.24905081e-02,  1.24324681e-02],\n",
       "          ...,\n",
       "          [-7.86520634e-03, -9.68181062e-03, -1.15005951e-02, ...,\n",
       "           -2.56539183e-03, -4.32081055e-03, -6.07776130e-03],\n",
       "          [-9.18566156e-03, -1.05085103e-02, -1.18312463e-02, ...,\n",
       "           -5.31889172e-03, -6.60029566e-03, -7.88275991e-03],\n",
       "          [-9.79514886e-03, -1.02361292e-02, -1.06770946e-02, ...,\n",
       "           -8.50604847e-03, -8.93324614e-03, -9.36078466e-03]]]]],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-964d10dd-12ce-4f3d-a91a-2bb835ef255d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-964d10dd-12ce-4f3d-a91a-2bb835ef255d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (lat: 180, lon: 360, model: 6, index: 8, composite: 2)\n",
       "Coordinates:\n",
       "  * lat        (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
       "  * lon        (lon) float64 -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5\n",
       "  * model      (model) <U13 'IPSL-CM6A-LR' 'MPI-ESM1-2-LR' ... 'MIROC-ES2L'\n",
       "  * composite  (composite) <U3 'neg' 'pos'\n",
       "  * index      (index) <U6 'nino34' 'nino3' 'nino12' 'NAO' ... 'AAO' 'PNA' 'MJO'\n",
       "Data variables:\n",
       "    tos        (model, index, composite, lat, lon) float32 0.0 0.0 ... -0.001192\n",
       "    intpp      (model, index, composite, lat, lon) float32 0.0 ... -2.765e-10\n",
       "    fgco2      (model, index, composite, lat, lon) float32 0.0 ... -4.391e-13\n",
       "    sos        (model, index, composite, lat, lon) float32 0.0 0.0 ... 0.02192\n",
       "    spco2      (model, index, composite, lat, lon) float32 0.0 0.0 ... 0.01892\n",
       "    lai        (model, index, composite, lat, lon) float32 nan nan ... nan nan\n",
       "    nbp        (model, index, composite, lat, lon) float32 nan nan ... nan nan\n",
       "    cLand      (model, index, composite, lat, lon) float32 nan nan ... nan nan\n",
       "    pr         (model, index, composite, lat, lon) float32 3.395e-08 ... 1.35...\n",
       "    tas        (model, index, composite, lat, lon) float32 0.132 ... 0.1385\n",
       "    uas        (model, index, composite, lat, lon) float32 -0.05053 ... 0.01327\n",
       "    vas        (model, index, composite, lat, lon) float32 0.04068 ... -0.009361"
      ]
     },
     "execution_count": 279,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_composites"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_composites.to_netcdf(\"composites.nc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "def standardize(ds,dim=[\"model\"],**kwargs):\n",
    "    return (ds-ds.mean(dim,**kwargs)/ds.std(dim,**kwargs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7ff5e94e54c0>"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {