Wind_figures.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "eaebd679-77f8-4dd7-85a4-3f4d7aa157a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import cosima_cookbook as cc\n",
    "import cartopy.feature as cfeature\n",
    "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
    "import cmocean as cm\n",
    "import matplotlib.path as mpath\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "\n",
    "# Avoid the Runtime errors in true_divide encountered when trying to divide by zero\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore', category = RuntimeWarning)\n",
    "\n",
    "# matplotlib stuff:\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as colors\n",
    "import matplotlib\n",
    "from mpl_toolkits.mplot3d import axes3d\n",
    "%matplotlib inline\n",
    "matplotlib.rc('xtick', labelsize = 8) \n",
    "matplotlib.rc('ytick', labelsize = 8)\n",
    "\n",
    "from gsw import SA_from_SP, p_from_z, CT_from_pt, rho\n",
    "from gsw import rho\n",
    "import xgcm\n",
    "import cartopy.feature as cft\n",
    "import matplotlib.patches as mpatches\n",
    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes, mark_inset, InsetPosition\n",
    "\n",
    "from xhistogram.xarray import histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "46aebea2-1bdc-47ee-81ab-9b1cf8559905",
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging\n",
    "logger = logging.getLogger(\"distributed.utils_perf\")\n",
    "logger.setLevel(logging.ERROR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e7a5e947-79d5-4f6d-b556-59764f3e897d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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-2a417ee8-ed32-11ed-bd12-0000075dfe80</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=\"/proxy/8787/status\" target=\"_blank\">/proxy/8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\"></td>\n",
       "            </tr>\n",
       "        \n",
       "\n",
       "        </table>\n",
       "\n",
       "        \n",
       "\n",
       "        \n",
       "            <details>\n",
       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
       "    </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">4f7b6431</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard:</strong> <a href=\"/proxy/8787/status\" target=\"_blank\">/proxy/8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Workers:</strong> 4\n",
       "                </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total threads:</strong> 16\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total memory:</strong> 251.20 GiB\n",
       "                </td>\n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
       "</tr>\n",
       "\n",
       "            \n",
       "        </table>\n",
       "\n",
       "        <details>\n",
       "            <summary style=\"margin-bottom: 20px;\">\n",
       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
       "            </summary>\n",
       "\n",
       "            <div style=\"\">\n",
       "    <div>\n",
       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
       "        <div style=\"margin-left: 48px;\">\n",
       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-44e90276-5786-426b-b1f6-cd0498592beb</p>\n",
       "            <table style=\"width: 100%; text-align: left;\">\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Comm:</strong> tcp://127.0.0.1:41719\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Workers:</strong> 4\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard:</strong> <a href=\"/proxy/8787/status\" target=\"_blank\">/proxy/8787/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total threads:</strong> 16\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> 251.20 GiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "\n",
       "    <details style=\"margin-left: 48px;\">\n",
       "        <summary style=\"margin-bottom: 20px;\">\n",
       "            <h3 style=\"display: inline;\">Workers</h3>\n",
       "        </summary>\n",
       "\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:40815\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 4\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/41343/status\" target=\"_blank\">/proxy/41343/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 62.80 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:38545\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> /jobfs/82834166.gadi-pbs/dask-worker-space/worker-6vzg7u5c\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:41105\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 4\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/38547/status\" target=\"_blank\">/proxy/38547/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 62.80 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:45603\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> /jobfs/82834166.gadi-pbs/dask-worker-space/worker-xv5mciyj\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:42397\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 4\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/42885/status\" target=\"_blank\">/proxy/42885/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 62.80 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:46161\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> /jobfs/82834166.gadi-pbs/dask-worker-space/worker-wk_6iee8\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:40989\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 4\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/38073/status\" target=\"_blank\">/proxy/38073/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 62.80 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:39903\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> /jobfs/82834166.gadi-pbs/dask-worker-space/worker-bhhxcge8\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "\n",
       "    </details>\n",
       "</div>\n",
       "\n",
       "        </details>\n",
       "    </div>\n",
       "</div>\n",
       "            </details>\n",
       "        \n",
       "\n",
       "    </div>\n",
       "</div>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:41719' processes=4 threads=16, memory=251.20 GiB>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.distributed import Client\n",
    "client = Client()\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "62c8aeab-bfb2-4a47-99c2-dbe501ff3753",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Loading relevant databases and experiments\n",
    "\n",
    "db = '/scratch/x77/db6174/mom_old/archive/databases/025deg_jra55_ryf/cc_database_control_hh5.db'\n",
    "session_cont = cc.database.create_session(db)\n",
    "\n",
    "db = '/scratch/x77/db6174/mom_old/archive/databases/025deg_jra55_ryf/cc_database_wind_hh5.db'\n",
    "session_wind = cc.database.create_session(db)\n",
    "\n",
    "session = [session_wind, session_cont, session_wind]\n",
    "\n",
    "expt = ['025deg_jra55_ryf_fluxS_050x_20yr_avg',\n",
    "        '025deg_jra55_ryf_control',\n",
    "        '025deg_jra55_ryf_fluxS_150x_20yr_avg']\n",
    "\n",
    "name = ['0.5xW', 'Control', '1.5xW']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "663eaf51-7bed-46ed-abf9-f8d83ace708e",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Loading relevant constants\n",
    "\n",
    "grav = 9.81\n",
    "omega = 1/86400\n",
    "r0 = 6.371 * 10**6\n",
    "\n",
    "ncoarse = 12\n",
    "fs = 20 ## Fontsize\n",
    "rho0 = 1036"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1665baf6-5f88-4e91-a5e8-d9f1c37d06b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "start_time = '2299-01-01'\n",
    "end_time = '2301-12-31'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "87a95656-282e-40f3-962c-100d3a207098",
   "metadata": {},
   "outputs": [],
   "source": [
    "def var_td(variable, i):\n",
    "    out = cc.querying.getvar(expt = expt[i], variable = variable, session = session[i], start_time = start_time, end_time = end_time, use_cftime = True)\n",
    "    out = out.sel(time = slice(start_time, end_time)).mean('time')\n",
    "    return out\n",
    "\n",
    "def var_ti(variable, i):\n",
    "    out = cc.querying.getvar(expt = expt[i], variable = variable, session = session[i], n = 1)\n",
    "    return out\n",
    "\n",
    "def var_td(variable, i):\n",
    "    out = cc.querying.getvar(expt = expt[i], variable = variable, session = session[i], start_time = start_time, end_time = end_time, use_cftime = True)\n",
    "    out = out.sel(time = slice(start_time, end_time)).mean('time')\n",
    "    return out\n",
    "\n",
    "def var_ti(variable, i):\n",
    "    out = cc.querying.getvar(expt = expt[i], variable = variable, session = session[i], n = 1)\n",
    "    return out\n",
    "\n",
    "geolon_t = var_ti('geolon_t', 0)\n",
    "#geolat_t = var_ti('geolat_t', 0)\n",
    "\n",
    "# Grid (used for plotting)\n",
    "geolon_c = xr.open_dataset('/g/data/ik11/grids/ocean_grid_025.nc').geolon_c\n",
    "geolat_t = xr.open_dataset('/g/data/ik11/grids/ocean_grid_025.nc').geolat_t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1ff4b2b4-f363-4dc5-918e-aec6a8ad8433",
   "metadata": {},
   "outputs": [],
   "source": [
    "pt_max = 1036\n",
    "\n",
    "land_50m = cft.NaturalEarthFeature('physical', 'land', '50m',\n",
    "                                   edgecolor='black', facecolor='papayawhip', linewidth=0.5)\n",
    "SST = var_td('temp', 1).isel(st_ocean = 0)\n",
    "land = xr.where(np.isnan(SST.rename('land')), 1, np.nan)\n",
    "land = land.assign_coords({'geolat_t': geolat_t, 'geolon_t': geolon_t})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "902da926-d5d4-494e-9941-25606aaea523",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_min = [-70, -250, -70, -220, -70, -250]\n",
    "x_max = [ 0 , -100,  20, -80 ,  20, -80 ]\n",
    "y_min = [ 20 ,  20 , -42 ,-37 , -80, -80 ]\n",
    "y_max = [ 45 ,  75 , -20, -20 , -55, -55 ]\n",
    "basin = ['NA', 'NP', 'SA', 'SP', 'WG', 'RG']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4900123a-f9e5-4d03-9659-07723ce90c09",
   "metadata": {},
   "source": [
    "## 1. Plotting global streamfunction map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e7172161-aba2-4fcb-9a7e-e23ddf577e8a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def STG_wind(axes):\n",
    "\n",
    "    expt_wind = ['025deg_jra55_ryf_fluxS_050x_20yr_avg',\n",
    "                 '025deg_jra55_ryf_control',\n",
    "                 '025deg_jra55_ryf_fluxS_150x_20yr_avg']\n",
    "    cmap = ['plum', 'purple' , 'Black']\n",
    "    for i in np.arange(0, 3, 1):\n",
    "\n",
    "        variable = xr.open_dataset('/g/data/x77/db6174/Flux_forced_models/025deg_flux_forced_uniform/Netcdf/Quantiles_Input/' + basin[k] + '_STG/' + name_save[i] + '.nc')\n",
    "        variable = variable.to_array().mean('variable')\n",
    "        variable.sel(percentile = 95, method = 'nearest').plot(label = name_save[i], color = cmap[i], ax = axes)\n",
    "\n",
    "    plt.grid()\n",
    "\n",
    "    axes.set_xlabel('Time (years)', fontsize = 20)\n",
    "    axes.set_ylabel('Transport (Sv)', fontsize = 20)\n",
    "    axes.set_title('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cd3d108c-16e6-4c7d-aaa7-4b209c63a183",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Define the levels for the contourf\n",
    "lvls = np.linspace(-80, 80, 41)\n",
    "\n",
    "def psi_func(axes):\n",
    "\n",
    "    ## Cell-centred x-directed mass transport vertically summed\n",
    "    tx_trans_int_z = var_td('tx_trans_int_z', 0)\n",
    "    \n",
    "    ## 2-dimensional lat-lon grid\n",
    "    geolon_t = var_ti('geolon_t', 0)\n",
    "    geolat_t = var_ti('geolat_t', 0)\n",
    "    \n",
    "    ## Calculation of streamfunction from x-directed mass transport\n",
    "    psi = -tx_trans_int_z.cumsum('yt_ocean')/(1e6*rho0) # divide by 1e6 to convert m^3/s -> Sv\n",
    "    psi_acc = np.nanmin(psi.sel(xu_ocean = slice(-69, -67), yt_ocean = slice(-80, -55)))\n",
    "    psi_g = psi - psi_acc\n",
    "    psi_g = psi_g.rename('psi')\n",
    "    psi_g.attrs['long_name'] = 'Barotropic Streamfunction'\n",
    "    psi_g.attrs['units'] = 'Sv'\n",
    "    psi_g = psi_g.where(~np.isnan(tx_trans_int_z))\n",
    "    \n",
    "    ## Interpolating streamfunction to cell centre grid\n",
    "    paths = []\n",
    "    paths.append(\"/g/data3/hh5/tmp/cosima/access-om2-025/025deg_jra55_ryf_spinup7_RCP45/output120/ocean/ocean.nc\")\n",
    "    data = xr.merge((psi_g, geolat_t))\n",
    "    data.coords['xu_ocean'].attrs.update(axis='X')\n",
    "    data.coords['xt_ocean'].attrs.update(axis='X',c_grid_axis_shift=0.5)\n",
    "    g = xgcm.Grid(data, periodic=['X'])\n",
    "    psi_g = g.interp(psi_g, 'X')\n",
    "    psi_g = psi_g.rename('psi')\n",
    "    \n",
    "    ## Plotting begins\n",
    "    \n",
    "    ## Plotting land and continent boundaries\n",
    "    axes.add_feature(cfeature.LAND, edgecolor = 'black', facecolor = 'gray', zorder = 2)\n",
    "    axes.gridlines(color = 'grey', linestyle = '--')\n",
    "    \n",
    "    ## Plotting global streamfunction\n",
    "    cf = axes.contourf(psi_g.xt_ocean.values, psi_g.yt_ocean.values, (psi_g * np.sign(psi.yt_ocean)).values, levels = lvls, cmap = cm.cm.balance, extend = 'both',\n",
    "                 transform = ccrs.PlateCarree())\n",
    "    \n",
    "    ## Plotting areas referring to Atlantic and Pacific subtropical gyres used for computing time-series\n",
    "    ax1.add_patch(mpatches.Rectangle(xy=[-100, 20], width=110, height=25, facecolor=(1,0,0,0), edgecolor=(1,0,0,1), linewidth=1,\n",
    "                                fill=True, zorder=2, transform=ccrs.PlateCarree()))\n",
    "    ax1.add_patch(mpatches.Rectangle(xy=[-250, 20], width=145, height=25, facecolor=(1,0,0,0), edgecolor=(1,0,0,1), linewidth=1,\n",
    "                                fill=True, zorder=2, transform=ccrs.PlateCarree()))\n",
    "    ax1.add_patch(mpatches.Rectangle(xy=[-70, -42], width=90, height=22, facecolor=(1,0,0,0), edgecolor=(1,0,0,1), linewidth=1,\n",
    "                                fill=True, zorder=2, transform=ccrs.PlateCarree()))\n",
    "    #ax1.add_patch(mpatches.Rectangle(xy=[-220, -40], width=140, height=20, facecolor=(1,0,0,0), edgecolor=(1,0,0,1), linewidth=1,\n",
    "    #                            fill=True, zorder=2, transform=ccrs.PlateCarree()))\n",
    "    ax1.add_patch(mpatches.Rectangle(xy=[-190, -47], width=110, height=0.01, facecolor=(1,0,0,0), edgecolor=(1,0,0,1), linewidth=0.9,\n",
    "                                fill=True, zorder=2, transform=ccrs.PlateCarree()))\n",
    "    ax1.add_patch(mpatches.Rectangle(xy=[-190, -47], width=0.01, height=7, facecolor=(1,0,0,0), edgecolor=(1,0,0,1), linewidth=0.9,\n",
    "                                fill=True, zorder=2, transform=ccrs.PlateCarree()))\n",
    "    ax1.add_patch(mpatches.Rectangle(xy=[-220, -20], width=140, height=0.01, facecolor=(1,0,0,0), edgecolor=(1,0,0,1), linewidth=0.9,\n",
    "                                fill=True, zorder=2, transform=ccrs.PlateCarree()))\n",
    "    ax1.add_patch(mpatches.Rectangle(xy=[-80, -47], width=0.01, height=27, facecolor=(1,0,0,0), edgecolor=(1,0,0,1), linewidth=0.9,\n",
    "                                fill=True, zorder=2, transform=ccrs.PlateCarree()))\n",
    "    ax1.add_patch(mpatches.Rectangle(xy=[-220, -40], width=30, height=0.01, facecolor=(1,0,0,0), edgecolor=(1,0,0,1), linewidth=0.9,\n",
    "                                fill=True, zorder=2, transform=ccrs.PlateCarree()))\n",
    "    ax1.add_patch(mpatches.Rectangle(xy=[-220, -40], width=0.01, height=20, facecolor=(1,0,0,0), edgecolor=(1,0,0,1), linewidth=0.9,\n",
    "                                fill=True, zorder=2, transform=ccrs.PlateCarree()))\n",
    "    \n",
    "    ## Specifying colorbar attributes\n",
    "    cbar = fig.colorbar(cf, ax = axes, orientation = 'vertical', shrink = 0.4, ticks = [-80, -40, 0, 40, 80], pad = 0.04)#, aspect = 25, fraction = 0.05)\n",
    "    cbar.set_label('Transport (Sv)', fontsize = 8)\n",
    "    cbar.ax.tick_params(labelsize = 8)\n",
    "    \n",
    "    return psi_g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a98725be-8771-44e6-b1cb-de61ba57b73f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(figsize = (6*1.2, 3.6*1.2), subplot_kw = {'projection': ccrs.Robinson(central_longitude = 260)})\n",
    "psi = psi_func(ax1)\n",
    "ax1.set_title('')\n",
    "#plt.savefig('/g/data/x77/db6174/Flux_forced_models/2022_paper_figures/Figures/Wind_psi_only2_revised.pdf', bbox_inches = 'tight', dpi = 300, transparent=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbae0f0e-3261-49bc-8f26-b62596b53516",
   "metadata": {},
   "source": [
    "# Meridional overturning circulation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4273fbb-b882-44ff-9495-f0d47e9a9b9f",
   "metadata": {},
   "source": [
    "## 2. Plotting AMOC, ACC and globally integrated kinetic energy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "156cdf90-7550-4341-a95e-0d34a5c777ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "## x-axis time units\n",
    "time_val = np.linspace(0 + 2, 95 + 2, 96)\n",
    "\n",
    "## Colormaps\n",
    "cmap = ['plum' , 'Black', 'purple']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c09cd4a2-ea73-48f8-a541-34109ac4b7c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x540 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Start and end model times\n",
    "st = '2202-01-01'\n",
    "et = '2301-12-31'\n",
    "\n",
    "fig, axes = plt.subplots(nrows = 3, ncols = 1, figsize = (3*1.2, 4.5*1.2))\n",
    "\n",
    "## Looping through the 0.5xW, control and 1.5xW experiments\n",
    "for i, j in enumerate(session):\n",
    "    \n",
    "    ## Plotting AMOC\n",
    "    psi_amoc = cc.querying.getvar(expt[i], 'ty_trans_rho', session = session[i], use_cftime = True, start_time = st, end_time = et).sel(\n",
    "        grid_xt_ocean = slice(-103, -5)).sum('grid_xt_ocean').sel(method = 'Nearest', grid_yu_ocean = 26)*1.0e-9\n",
    "    psi_amoc = psi_amoc.sel(time = slice(st, et))\n",
    "    psi_amoc_sum = psi_amoc.cumsum('potrho') - psi_amoc.sum('potrho')\n",
    "    psi_amoc_sum = psi_amoc_sum.sel(potrho = slice(1035.5, None)).max('potrho').resample(time = 'Y').mean()\n",
    "    axes[0].plot(time_val, psi_amoc_sum.rolling(time = 5, center = True).mean().dropna(\"time\"), label = name[i], color = cmap[i])\n",
    "    axes[0].set_xlabel('', fontsize = 8)\n",
    "    axes[0].set_ylabel('Transport (Sv)', fontsize = 8)\n",
    "    axes[0].set_title('a. Atlantic Meridional Overturning Circulation', fontsize = 8)\n",
    "\n",
    "    ## Plotting DP Transport\n",
    "    xmin, ymin, ymax = -69.9, -71.6, -51.0\n",
    "    DP_trans = cc.querying.getvar(expt[i], 'tx_trans_int_z', session = session[i], use_cftime = True).sel(\n",
    "        xu_ocean = xmin, method='nearest').sel(yt_ocean = slice(ymin, ymax)).sum('yt_ocean')/rho0/1e6\n",
    "    DP_trans = DP_trans.sel(time = slice(st, et))\n",
    "    DP_trans = DP_trans.coarsen({\"time\": ncoarse}, boundary = \"trim\").mean()\n",
    "    axes[1].plot(time_val, DP_trans.rolling(time = 5, center = True).mean().dropna(\"time\"), color = cmap[i])\n",
    "    axes[1].set_xlabel('', fontsize = 8)\n",
    "    axes[1].set_ylabel('Transport (Sv)', fontsize = 8)\n",
    "    axes[1].set_title('b. Antarctic Circumpolar Current', fontsize = 8)\n",
    "    \n",
    "    ## Plotting globally integrated kinetic energy\n",
    "    ke = cc.querying.getvar(expt = expt[i], session = session[i], variable = 'ke_tot', use_cftime = True)\n",
    "    ke = ke.sel(time = slice(st, et))\n",
    "    ke = ke.coarsen({\"time\": 364}, boundary = \"trim\").mean()\n",
    "    axes[2].plot(time_val, ke.rolling(time = 5, center = True).mean().dropna(\"time\"), color = cmap[i])\n",
    "    axes[2].set_xlabel('Time (years)', fontsize = 8)\n",
    "    axes[2].set_ylabel('Energy ($10^{15}$ Joules)', fontsize = 8)\n",
    "    axes[2].set_title('c. Globally Integrated Kinetic Energy', fontsize = 8)\n",
    "    \n",
    "axes[0].grid()\n",
    "axes[1].grid()\n",
    "axes[2].grid()\n",
    "    \n",
    "fig.legend(bbox_to_anchor = (0.5, -0.05), loc = 'lower center', ncol = 3, fontsize = 8)\n",
    "plt.tight_layout()\n",
    "#plt.savefig('/g/data/x77/db6174/Flux_forced_models/2022_paper_figures/Figures/Wind/MOC_exceptAABW.pdf', bbox_inches = 'tight', dpi = 300, transparent=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0794a10d-5024-4260-9a2d-b1f1c4f48678",
   "metadata": {},
   "source": [
    "## 2b. Plotting AMOC and globally integrated kinetic energy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a23bf421-8776-4e63-8d43-19957f86ba1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Lt4aY9Cby4/MxZBqwGqyYdCYy9mTUt1gSieQ6RrZ4a4hTkBPeXb3RuNp8P6lbU8mPzye/aT4uYS71LJ1EIrkekYa3hmi9tWi9tfZtj3Ye6I7qyNiVgWOgIyoH6XKQSCQlka6GWsaroxcadw2WQgvZh7LrWxyJRHIdIg1vLaNUK/Hp5gNA3rk8hFVG3ZRIJCWRhvca4BTshMpRhdVgpTC5sL7FkUgk1xnS8F4DFEoFLuG2jrW8uIoXAJRIJDce0vBeI1wibIa34EIBwiLdDRKJ5BLS8F4jHAMcUTmpsJqsFCQV1Lc4EonkOkIa3muEQqGwt3rz4/PrWRqJRHI9IQ3vNcQ1whWA/Av5WM3WepZGIpFcL0jDew3R+mlRu6gRZkFBgnQ3SCQSGw3a8D7zzDNERESgUCg4evSoPX3fvn307NmTTp060aZNG9577716kU+hUOAaaWv15p7OrRcZJBLJ9UeDNrxjxoxh+/bthIeHl0h/7LHHmD59OgcPHuSvv/5i9uzZxMbG1ouMbpG2YMmFyYWYck31IoNEIrm+qPdYDYWFhSQnJ+Pk5ERQUFCVyvbt27fcvJycHADy8/NxcHDA29u73H0NBgMGg8G+rdfrAVsAZJOppLEs3r4yvVy04BjoSFFKEbqTOjw6elSu3DWmynpcxzQWXRqLHtC4dakNnRRCiDofZGq1Wlm4cCFffvklBw8exNPTk6KiIjQaDXfddRf/+te/aNmyZaXri4iIYOXKlbRv3x6AQ4cOceeddyKEID09nS+++IIJEyaUW37GjBnMnDmzVPoPP/yAs7Nz1RW8AnejO+EF4ZgUJk64nwC5fqZE0mApKCjgvvvuQ6fTlVqhprLUi+Ht0aMHPXr0YNy4cXTp0gW12tbwTktLY82aNXz11VdMnjyZe++9t1L1XWl4x48fz5133sndd9/NuXPn6N+/P+vXr6dVq1Zlli+rxRsaGkpGRkaZS/+sX7+eQYMGVXpJE2ERJC1Pwmqw4tvPF6cmTpUqdy2pjh7XK41Fl8aiBzRuXfR6Pb6+vjUyvPXialixYgUBAQGl0v39/Zk4cSITJ04kLS2tWnVnZGTw66+/8v333wPQrFkzunfvzo4dO8o1vFqtFq1WWypdo9GUe9NUlFd6Z3Br7oYuVkfB2QLcI6p3sa4FVdLjOqex6NJY9IDGqUtt6FMvnWvFRvfykQhX4u/vX626vby8cHR0ZOvWrYDNEO/atcveGq4v3Fu5gwIKEgswZBiuXkAikTRa6nVUw4gRI+jWrRufffaZvTOsKjz11FOEhISQmJjIwIEDiYyMRKVSsXTpUp5//nk6duxI3759mTp1Kt26dat9BaqAxl2DazPb0LLswzJOr0RyI1OvhvfcuXO8//777N69m+bNmzNu3DjWr19f6fIxMTEkJiZiNptJSUnhzJkzAAwcOJD9+/dz+PBhYmNjefbZZ6+VClXCK8rL3uotSi+qb3EkEkk9Ue/jePv378+CBQuIj4/H09OToUOH1rdI1wyNuwbX5v+0euXqFBLJDUu9j+NNS0tj0aJFzJ8/H4vFwrvvvlvfIl1TvKK8yDubR2FSIYXJhTgF1f8IB4lEUrfUu4+3ffv2nD59mi+//JJjx44xderU+hTpmqNx0+De0jaqIWN3hozVK5HcgNRri/eee+5h6dKlODo61qcYdY5XZy/yz+dj0pnIOZqDV0ev+hZJIpHUIfXa4h0/fjyOjo6cO3eOjz/+mN9//70+xakWp06d4q233mL37t1YLJZKlVE5qOwLYub8nYNJ3/CnVUokkspTL4Z30KBBHDp0CICkpCS6du3K2rVrmTZtWoPz8f7222/85z//oUePHvj6+vL444+XmAVXHi5NXXAKckJYBRl7MupAUolEcr1QL4b34sWLREdHA7Z4CP369WP16tXs3LnTPuOsodCmTRvuuusuPDw8yMnJ4csvv2T69OlXLadQKPDt4QtKKLxYSMFFGa9XIrlRqBfDe7lPd8eOHQwbNgywzTorjtvQULj99ttZtmwZGRkZLFq0CICPPvqINWvWXLWsxl2DR2tbtLLMfZkIq+xok0jKwqA3kHU2q77FqDXqxfAqlUoSExPJz89n69at9OvXz55XUNAwW35qtZrx48fz1FNPAfDAAw+Qmpp61XKeUZ4oHZSYckzknrl6sHSr1cqJEydqLK/kxkYIwaopq/ii6xfkJl3fQfrPbzvPnMg5xLSO4fy28/UtTq1QL4b3lVdeoUuXLrRq1YpbbrnFHgJyx44dRERE1IdItcb7779P+/btSUtL484777zqVGiVVmUf1ZB9MJvC5MJyW75CCB588EHatGnDBx98UNuiS24gji05xt5P95K8P5nfH/udeghSeFWEEOz9bC/f3fodBekFWM1W1jy3plF8GdaL4R01ahR///03K1eu5KeffrKnR0RE8MUXX9SHSLWGk5MTS5YswcvLi927dzNw4ECysir+RHJv5Y7GXYOlyELyumTOLzlPxp4MrMaSC2R+9dVXLFy4EIBXX32V06dPA5B8IJnVz6wm7Vj1IrpJbizyUvJY9dQq+/bpVac5+M3BepSoNEIINk7fyKqnVmE1W2k7pi1ady0pB1M4vPBwfYtXY+ptOFlAQADR0dEoFJeiggcHBxMWFlZfItUabdu2ZdOmTfj6+rJ//35uvvlmPvzwQ2JjY8tsWShUCgJvDcS1uStKrRKr0Yr+uJ4Lv17g4t8XsVgs/P333zw75VkGMICpyqn0K+rHUxOfYk/MHr7u+TV75u7hm5u/IX5LfN0rLGkwCCFY+cRKCrMKCewUyID/DgBg7b/WknM+p36F+wdhFax+ZjV/vfsXAAP+O4AxS8fQ59U+AGx6ZRPGfGN9ilhj6sXwdu/enUWLFlFUVDpQzPHjx5kyZQoxMTH1IFntER0dzZYtWwgICODEiRO88MILtGvXjvvvv7/M8b4adw3+vf0JvzscS1sLX2z4gqHPDqVPxz6Ea8K5rdtt3GO4h770xdXqSk960nNXT1Y/vRqL0YKzrzMGnYFFQxax7e1tHPz2IMd+Otbgb1BJ7VGYXciKB1dw8reTKDVKRi4Yyc0v3kzozaEYc418f9v3ZJys36GNRTlFLLt/GXs/3QsKGD5vOH2m90GhUNB9Snc8m3qSm5TLlhlbrkv3SGWplyEEy5cv56233uK5556jRYsWBAYGUlhYyIkTJ/Dz8+Oll15izJgx9SFardKuXTsOHz7Mjz/+yJo1a9i4cSM//PADvr6+fPzxxyVa+3q9ngULFvDTTz+xfft2EDCe8UQSCQL4x35qXDT0fqk3W7/ZCvFgxcpfTn/h0cuDwXmDSdmUwuZXN9vr7fRoJ0Z8OaJuFZdcd5xdd5blDy4nLzkPhVLBkI+GENDBFhd75IKRzO87n4zjGXzZ7UtGLhhJm7va1LmMp1aeYuUTK8lNykWhUjBy/kii7o+y56sd1Qx6bxA/jf2JnbN3YjVbGfLBEBTKhreWVr20eIOCgoiJieHixYu8//773HPPPUyePJmtW7eyd+/eRmF0iwkICOC5555jzZo19uFmc+bMKdE5lpaWRs+ePXnmmWf4888/EUJwb/N7iSQSpUaJ1sO2OoZnuCfD/jOMkLAQHv3uUdJHpPOd03dsLNzIst+WMWXrFJRDlfj29iXHNweAg98cvG4+ISX1Q/KBZH4c8SN5yXn4tPLhoe0PcdNTN9nzvZt78/j+xwnvG44x18jS0UtJ3J1YpzLu/HAnP97xI7lJufi09OHBrQ+WMLrFtB3TlkHvDwJg98e7+eW+X7CYKjdj9HIMuQaOLT1GQWb9jKKq1ynDWq2W3r17c++99zJixIhSy7Q3Nu655x67wZ02bRoTJkzg8OHD3HrrrcTGxhIcHMyHH37I0W1HaZfUDoDBHwzmpeyXeOH8C4xfOh7ftr4AFJ4rZNr4aRyOPczu3bsZM2YMJouJ19a8xtPbn+bjjI85xzmwwvZ3t9eqHitXrmTMmDGsXr26QX/u3QgUZheydPRSLAYLLW5vwRMHnyC0Z2ip/VwDXZmwYQKt7mwFAvbP219nMh5dfJR1L6wDoPtz3Xni0BOE3Vx+X0+vqb0Y9f0olBolx5Ycs/uCK4sQgqWjlvLzPT/zUehHrHp6Fdnn6jZMa73H473ReP7553n11VdRKBQsWrSI6Ohojh49SnhAON9N/47ulu78+fSfmAvNNL21KTc9dRMKhQLXMFd8b/Il5I4QgoYE2UZBFFrI2JZBx+YdWbp0KQsWLMDNzQ2NRsNjjz3GUS/b0koHvjpAXkpercifnp7O/fffzy+//MKwYcPo27cvH374IR999BFfffUVer2+Vo4jqTnCKlg+cTk58Tl4NfPiroV3kanL5J133mHnzp2l9ldpVPSa2guAY0uPYcy79v0D8VvjWf7AcgC6P9udIR8OQeN09TXNOtzXgTu/uROAbW9uI/14ern7GvOMnNtwzt4y3v/Ffs5tOAeAudDM3pi9zG0xt8I6ahtpeOuBN998k71799KzZ08ccWS4y3Aey3uM7VO2s37aelL/TkXroeXOb+8s03/lFOhEkxFNcA51BgFp29MQVsHEiROJj48nKSmJL774gmGTh5FAAsIkWPfCOta+sJZvbv6G48uOV1v21157DZ1OR3BwMI6Ojmzfvp0XXniB559/nscee4zIyEg+++wzCgoKMJlMWK3Wq1cqqXWKRwacWnkKlVbFyB9H8ulXn9KyZUumT59Or169GDNmjH1IYjGhN4fi3cIbU76JYz8du6YyWkwWfr7nZyxGC21Gt2HwB4NL9HtcjQ7jO9BiWAssRottLHIZ43sNegPf9vmWhYMW8nXPrzm96jTrp9pWuRny0RAmbJhA5NBIgrsF49vat9Z0uxrS8NYTnTp24qN7P+JV11fpmt8Vc74Zn1Y+tB/Xnt7Te/PIjkfwCPUot7xSpcSvlx8qRxWmHBPZB22fSt7e3vj62m6gJyY9wV9K22fYkR+OsOvDXSTsSOCX8b+QdqTqY37//vtv+zjrxYsXc+bMGV588UXGjx/P+PHjadWqFenp6Tz11FO4uLjg4OCAr68vy5cvr/KxJNXHarHy2yO/sTfGNjKg4NYCeozswYsvvkhubi6RkZEolUp++eUXWrduzciRI1m3bh1WqxWFQkH0Q9EAHPr20DWVM25THPmp+bj4u3DXwrtQqqpmjhQKBbd/fjsOrg4k/JXAmn+tIe1omt39ZTaYWXLXElIOpQCQvD+ZH27/AWOekbA+YXR/pjvNbm3G+NXjeWDTA1Uy+jWlXg3vyJEjK5XW2Eg5lMIXXb5gzbNrMOeZ8Wvnx9ifx/JU7FOM/mE0t/73Vvza+l21HpWjCt9eNiOrO6ajMLmwRH5ISAjtRrbjBCco1BQS6xBLPPFYiiz8eNePWAoq7pSwWCx8/fXXTJgwgWnTpvHII49gtVoZO3Ysffr0oUmTJrz77rssWrSIRYsWceTIEWJiYkqsEJ2dnc3EiRM5d+5clc+T9B9XHSEEyx9YzqH5h0ABy8QyZq2aRXJyMoGBgXz77becPHmSQ4cOMWzYMKxWKytWrGDIkCE8+OCDCCHoOLEjCqWCC39eIPN05jWT9dhSW4u6zZg2lXIvlIVHmAcD3x0IwJ45e/i8w+d8EPgB8/vPZ36/+cRtisPB1YFxK8cReVskABpnDXd+U/JrUuNct0vQ16vhvXDhQqm06jygDQmrxcrS0UtJ/TsVRy9Hbv/8diYdnkTb0W2rNSzGJdQFt0g3AFI2pZRaRPOpp59iMYt51/QuS41L+VXzKzp05F/I5/Abh7EYyza+xa6QRx99lEWLFjF79mz27duHVqvlvffeK7OMRqNh8uTJJCUlodfryczMpHfv3uTm5jJu3DhMpsrHHf7uu+/w8fFh1KhRnDp1qtLlbnSOfH+EI98fQSgFS8QS/uZvRowYwa+//sr58+d58MEHUSqVdOjQgT/++IPY2FimTJmCWq1m4cKFLFmyBPcm7jQf0hzAZsCvARajhRO/2mKOtLu7XY3q6vpkV0Z8M4LIoZGondTkp+Vzfut5Lu6+iFKj5J5f76Hl7S2574/7GL9mPI/sfATvSO/aUKPa1Ms43i+//JIvvviCU6dOcdNNl4a16HQ6WrVqVR8i1Rmn/zhN9rlsHL0cefrk07j4udS4Tp/uPpjyTBSlFJGyIYWgIUFovW1D0Pr378+IESOIjY1l+vTpjBw5kkeHPEr7fe1RnVDxceuPuXv+3TS7tZm9voULF/Lggw9itVpxd3dn8uTJFBUVkZiYyOjRo68aT0OlUuHmZnsZfP/990RHR7Nnzx769++PyWQiNTWV2267jSlTptCuXemH7v333+fFF18E4Ndff+X3339nxIgRaLVajEYjGo0GR0dHQkJCePrpp/H2rt+H6Hoh52IOv0+2LSawybqJ4xxnzpw5TJkypdwybdq0Yc6cOfj4+DBjxgwmT55M3759iX4omjOrz3DgiwP0md4HB1eHWpX13MZzFGUX4RroSljvms1WVSgUdHqoE50e6oS5yEzq36lkncki+1w2oTeH0vSWpvb9IodE1ob4NUfUA/Hx8WLz5s2idevWYsuWLfbfgQMHhNlsrnQ9U6ZMEeHh4QIQR44csadbrVbx+uuvixYtWoh27dqJfv36VUk+nU4nAKHT6UrlGY1GsXz5cmE0GqtUZzELbl0gZjBDrHtxXbXKl4fFaBGJfySKs/PPirgf40RhWmG5+xqNRvFo70fFVKaKGcwQM5ghlj+8XBjzjWLhwoVCoVAIQIwdO1YkJSXVWLZly5YJbNNASv169OghXnzxRbF48WLxwQcfiJEjR9rznnzySXH77beXWxYQbm5u4s033xRLliyp9jWpiLLugWtFVe8tq9Uq1q5dK6ZNmyaGDBki7nO4T8xghniCJ4RaoRbz58+v0rG7dOkiADFs2DBhNprFJ80/ETOYIf58589a12X5g8vFDGaIP57+o8p11zVX6lKRfags9dLiDQ8PJyQkhK5du5YICVlVxowZw4svvkjv3r1LpM+ZM4cjR45w9OhRHBwcSE5OrqnItULa0TTiNsahUCroNrlbrdat1CgJGhhE8rpkDJkGktcm49/HH5fw0i1qjUbDx2s+pk+3PgQeD6Qb3Tj0zSH2r9jPvKx5CCF44okn+Oyzz1Aqa+6Nuuuuu1iyZAnnzp2jZcuWODk58dVXX7F8+XJ27drFrl27SpV5//337Quf/vnnn+zatQuNRoNGo8FsNlNUVMTPP//Mvn37+M9//oObmxu7du1i/PjxqNVqDAYDfn5+hIWFoVKpqiRvQUEBS5Ys4fPPP2fv3r088MADfP755zg5XT8rQp88eZLnnn4O0wYT4YTTghb44osVK9qxWna+uJOuXbtWuj6NRsOCBQvo0qULq1at4suvv6Tvf/qy4sEV7Hh/B90md0Prpq0V2S1GC8d/tY2saTe2Zm6Ghkq9RR1XqVRcvHixRnX07du3zPT333+fLVu24OBg+zwKCgqqsB6DwVBiuZ7isagmk6mUX7J4uyr+ymJ2fmIbO9lyREtcgl2qVUeFKMB3gC+Zf2VSlFRE6pZUfHr54BzhXHpXhYLnX3meN954g+OnjzOGMbhmujKZyVjVVnw2+LD/y/1EPxxdK6LdddddJbYHDhxIQkICmzZtYufOnRw5coSQkBA6dOjAgAED6NWrl/389OjRgx49epSq87nnnuPHH39kxowZnD9/no8++oiPPvqoxD4ODg5ERUUxd+5cunTpAsDu3bv5+eefeeihh2jbtm2J/Y8ePcqdd95JQkKCPW3BggUcPnyYJUuW0LRp01o5H2VR2Xtr+fLlTLpvEqPNo2lCkxJ5/V7vR59/96lUPVfSsmVL3nzzTV588UWef/55/vrzL7wjvck6k8WuT3bR66VetaLL4e8OY9AZcA1yJfCmwNp/DmqZK3WpDXkVQtRf1/F///tfEhISeOihh3B1dbWnX/kwXI2IiAhWrlxJ+/bt0ev1+Pn58dZbb/HLL78A8K9//Yt77rmn3PIzZsxg5syZpdJ/+OEHnJ1LG63qYM41c+yRYwijIPLtSFzbuV69UHUR0KSwCd5Gb8wKMyfdT2JVlD2eNjk5mS+//BJnqzPdErvhkXHZEDYFNH+jOW4d3K6drLWAxWLhwIEDrFmzhlOnTqFWq1GpVOTk5GA2mwHbqicvvfQSGRkZzJs3D7PZjEql4o477mD06NG4ubkRGxvL22+/TX5+Pj4+PgwbNowmTZrw2WefodfrcXFx4YknnqBPnz51OvTocsxmMzMencHQnKG44orCRUHIQyFog7RofDRoA2vWKrVarbzxxhscOnSIiIgIXhn+CkmfJqFyU9F2XltUzlX7eighe56ZpG+SyNpkC5PqN9KPJg82uUqp64+CggLuu+8+dDod7u7u1aqjXg1vWa0HhUJR5ZENlxvezMxMfH19mTlzJq+99hoXLlygZ8+erF27lvbt25dZvqwWb2hoKBkZGaVOrMlkYv369QwaNAiNpvJDUPbG7GX9v9bj38GfR/Y9cs0fXGEVpKxKwaw349baDc/OniXyy9PDkGsgPzWf7W9v5+j3R3ENduWRvY/USifgtaI8XSwWC/Hx8Tz99NNs3LgRpVJpn9ARGRnJmTNn7Pv6+PiQl5eHwWCgR48eLF++3N5pl5CQwLhx49izZw8Ao0eP5t5778Xf35+2bdvi4VH+eOva0ONy5k2fR/IHyTjggF8H2zBEz6aetXL8YlJSUujSpQvp6ek8O+VZmq9tTtapLPr8pw99/tOnUnVcqUt+ej4Lei8gJy4HFNBtSjf6v9m/2sPI6pIrddHr9fj6+tbI8NZL51ptEx4eXqJzzdXVVZw9e9a+PXbsWPHtt99Wur5r0bn2ZfcvxQxmiJ0f76xSuZqQn5Avzs4/K85+d1YYcgwl8q6mhyHPID5t/amYwQyxaOgikXM+p2ayJOaL3LO5wlRgElarVRSmFYr03eki7a80oT+jF6Y8U7XrvqouBoMYN26cvUPuzTffFFarVfzxxx+iTZs2JTrrhg8fLvLz80vVYTKZxMyZM4VarS6xv7e3tzh69Gi1Za+KHqfWnBKvKl4VM5gh3mzxpjDkGcrcrzZYuXKlAIRCoRAr3l4hZjBD/NftvyI/vfS5KYvLdbGYLPZO5Y8jPhYX/rpwzeS+FlyLzrV6n7m2b98+3n33Xd577z3276+dwBzjxo2zLzaZnZ3Nnj17iIoqHemorsg8ncnF3RdRKBW0v6fsVve1wDnEGacmTmCFrH1VWyjQwcWBMUvGoNKqOLPmDB+Hf8ycyDns+nhXlSc26E/qSdmQQtqfaVxYeoELSy+QtCoJ/XE9uadzSd+ezoWfL5C+Ix2rpfanGDs4OLBo0SLmz5/Pli1b7LEyhg0bRmxsLDqdjkOHDrF7926WL19epntJrVbz2muvsXPnTsaOHUv37t3x8/MjKyuLsWPHkpdXO7EwyiIvNY/fn/idH277AbVQE+8Qz5SdU3Bwqd0hXpdz++23c//99yOE4PWlrxMQHYAx18ifs/6scl0b/72RuI1xaFw03PfHfYT2Kh2k50ajXg3vl19+yahRo0hOTiYpKYlRo0bx1VdfVbr8U089RUhICImJiQwcOJDISNsYvf/+97+sXr2a9u3b06dPH6ZPn07nzp2vlRpX5cgPRwBoNqgZroHX0LdbBj7dfGzTRhMLyL+QX6WyAVEB3P3L3TS5qQkKpYLss9ms/ddafn/sdywmCwa9gdhfYkk7Wv7049wzuWTssgXXVrvZ+nItRRYUKgWuzVzxaO+B1tfml8w9nUvymmTM+WZ7eVOhiZWTVvLdwO9qFOhHqVTywAMPlDmKxt3dnY4dO3LTTTdddQRE165dWbp0Kbt27eLYsWMEBwdz/PhxJk+efE1m2p1Zc4a5kXM58MUBEHCYw7R+vTUePrXj3qiIDz74AC8vLw4dPoSuqw6wucx0CbpK13Fi2Ql2vLcDgDu/vbNSMzJvBOp1LfW5c+eyf/9+/PxsF+Pf//43t956K48++milysfExJS5UoWvry+///57rcpaXYQQHFlkM7xlxRe91jh4OODZzpOcozlk7MrAKdAJpUPl37ctb29Jy9tbYtAbOPDVAdZPW8/Brw9yftt5dBd0WAwWVFoVd3xxBx0ndrSXE1aB7riOzH2ZKFDg3sYdn24+WA1WjDlGtD5alJpLchRcLCBtWxqGDAMX/7hIkzuaYMw3svjOxSTssI0wWHLXEiZumnjd+AX9/PxYvHgxt9xyCwsXLqRPnz489thjtVa/EII1/1qDMc9IsiKZ1WI1xkAj3z3zXa0doyL8/f15//33efTRR3nj+zd4p9M7ZB3MYu2/1jLq+1GotRWbj6LEIla+vBKAnlN7VmromNVq5dVXX2Xfvn306tWLfv36ERQUhKOjIwEBAdfVkL6aUO+uhmKjW/x3ffUWXyuS9iaRdSYLjbOG1iNb14sMnh09UbupsRRayDpQNZdDMVp3LT2f78m9v92LxkVD1uksLAYLzn7OWAwWlj+wnFVTVvH3or/ZM2cPP9/5M/MHz+eHR39g70970QRrUCgUqBxVNuOvKXnrOTdxpsnwJmg8bOEuzy0/x9e9viZhRwJaDy2OXo4k7krkt0d+u65iOPTp04e3334bgKeffrrMMcnV5c9Ff5J5IhMjRuaL+bS4tQV//vlniRFA15qHHnqIfv36UVBYwEdHPgIFHP/lOF/d9BWpR1LLLWfINRD3ThzGPCMR/SMYOGvgVY9lsVh4+OGHmTVrFuvXr2fmzJkMGDCANm3a0LRpU0JDQ9m7d29tqldv1KvhjYyM5N///jdJSUkkJyczc+ZMmjdvXp8i1SpCCA58fQCA1iNb1/q0y8qiVCvx62l7welP6ilMKbxKifJpeXtLHt39KINmD2LS35OYmjKVvv+xjafe++lefp3wK6ufXU3sylh0STqsZisn/jjBpy0/Zdvb2ypcmlvjZlt3LiMug2VPLCPrdBYe4R48suMR7v7lbpRqJUd/PMoPw37g0PxDFGTUz+oBVzJt2jRGjRqF0Whk1KhRJCUl1bjOmJgYPn3wUwBOa0/z5Xdfsn79ers7ra5QKpUsX76cESNGEGeO40fxI0WqIlL/TuXzjp/zceTHLB65mL2f7cVcZHMRFWQU8NvE3zAkGnBr4sboxaNRqis2NUajkYkTJ7JgwQJUKhXTp09n3LhxRERE4OXlhYODA5mZmYwePZr09LqLm3utqNfhZGlpaTzzzDNs2LABgEGDBvHJJ5+UiG5VH+j1ejw8PMocLmIymVi1ahXDhg2rcDiZLkHH6qdXc/K3kwCMXz2eyKH1O088/a90cs/kolAr8O7pzZYjW66qR2WwmqwcmneIA18fwGqyolAp8GrmRZt72uDs78zm/2y2uwui7o9ixDcjUGlUWEwWMk9mkh6bTtaZLIQQWE1W/nr3L8xFZrybevPAtgdwD7FdgwNfHeD3xy65kDTOGu7+5W7Cbw2v1DW5luTm5tKzZ0+OHTtGjx492LJlC1pt1cbUFt9bBQUFPHrfozzP86hRM3LVSDre1vHqFVxDhBDMnj2b6dOn42hxZAQjaEXJuCpuwW60GN6Coz8cxZhnRKFWMHHzRCJ6R1RY9+rVq/nXv/7FyZMnUavVLF68mNGjR5fYR6fTcdNNN3Hq1CluvfVW1qxZg1pdN57SK5/5iuxDZalXw3u9UlPDe+GvC3w/9HuMeUaUaiV9Xu1Dv9f61bsbxWqykrollcIkW4s3xTGFrnd1tc/wqyrmQjM5R3LIPZOLMNluI7WbGr+efjgFXfLFCSE4+PVBVk5aibAIIvpH4ODmQPzm+HJXOQjuGEzfSX1xDnDGOcQZlwgXHP0cST2SyvFfjhP7cyzpx9JRaVWMXTaWE6YT9Wp4Ac6ePUvXrl3JyclhypQpzJkzp0rlTSYTP/zwAy+88AItM1syhCEEdQ7i8f2PXyOJq05CQgInTpwgOTmZGS/MQJGh4ObmN9PJ0Al94qXVRwI7BeIyyoV7Xrqn3GtitVqZOHEi33//PWDzKX/77bcMGzaszP2PHTtG9+7dyc/P55lnnim1YOy14loY3nrtXDOZTHzyySds2LABhULBoEGDePrpp6ttCK4HcpNz+WnMTxjzjIT0COGOr+7Av139tuCLUWqUBN4aSOa+TPTH9QQWBZJ7PBefjj5VqsdqtJJzLAddrA5hthlcjbsG91buuLV0K/VZqVAo6PxoZ9yC3fhp7E/Eb4m352ndtfi188OnpQ9KjRKryYpva1863tuRjO0ZmPQmdLE6dLE6/Pv5E9AhgIAOAfR5pQ8/3/MzJ5af4OfRP+N/jz+JXomEdA2p89iqxTRv3pxFixYxfPhw5s6dS58+fRg7dmylywsh+Oyzz8jMzORmh5vBCF0mdbmGEled0NBQQkNtw8E6dOhAv379WHh2IemD0nnm8WfQH9ATNTGK5rc3Z/Xq1RXW9e677/L999+jVqt59tln+c9//lPhZJR27drxzTffcM8999hfanVlfGudao8ArgUeeughMWLECLF8+XKxfPlyceedd4qHH364PkUSQlR/AoXZaBbf9P5GzGCG+Kz9Z9d0gHtNyTicYZtcMf+syD2bW6kyVotV6E7qRPzieHvZxJWJIj8xX1it1krVkbgnUfx0z09i23+3iaQDScJqKb+cucgscuNyRfLGZHF2/llxbuE5UZRRdCnfYBY/jvjRHmGteJD/id9OVEqWa8XLL79sj5y2du1akZycXKnz88033whARKmi7LoYcq/fe0gIIdavXy80Go0AhEajEc8++6zQ6/VXnQzy559/CpVKJQDx9ddfV+mY8+bNs09gmTRpkjCZqj/5pjJciwkU9Wp427RpU+KGNJvNok2bNvUokY2qGt4iXZE4/utx8eOdNiMwy32WyDiZUZciVxmj0Sh2/7jbPrMtP7HiGUmFqYUiYUWC3eBeWHZB5MbnVtrg1gSrxSqS1ieJs/PPivif4oWp4NKDZjaYxbZ3tokPu34o3g98X8xghnhD/YY4sviIPb9IX1Re1dcEk8kk+vTpU2KGW2hoqNi1a1e5ZeLi4oS7u7tQoxYzPG0vkc0zNted0DXg77//FkOGDLHr2q5dO3HixIlyDW9aWppo0qSJAMT9999frXvom2++sYcv7datW4mZq7VNo5u5FhwcTFHRpRUTjEYjISEh9ShR1dn21jbe83mPJXct4eQKW0fayAUj8WlZtc/3+iDZMRmnUNvMtpQNKWTuzSw1c8xcYCZ9RzpJq5MwZhtROijx6eZDyIgQXMNd6+QzT6FU4N/X37aycr6FlA0pWAy2lTNUDip6PN+DZq82Y8q5KXQY3wGr2cqy+5Yxr9M8ZrnN4h2Pd/jjqT/IT8qnKLUI/Tk9F3dexJhjxFxgrvXhaWq1miVLljBmzBgiIiJQKpUkJCQwcMBAlr23jJSNKeQcy8GQZUAIgdls5v7770ev1zPCdwTkgFsTN/uKv9c7HTp0YM2aNaxdu5agoCCOHTtGr169OHLkSKl9z507R58+fbh48SKtWrXi888/r9Y99NBDD7FkyRI8PDzYu3cvnTt35oMPPriuhhpWRL36eJs1a0bPnj3tkcN++ukn+vbty2effQbA5MmT61O8SuHZ1BOr2Yp3C2+aD2lO+3va1ziifp2hAJ9ePugO6Mg9nYsuVkf++XwcfBxQu6gxZBgwpF8KHuTWwg3vzt6oHKsfoaq6qBxUBAwIIGlNEsYsI8nrkgkaHIRKe0kWpVrJXd/dhcZFw4EvDtgXOQTY99k+ji85jkcTD1JiU7CarXS5pwttb2uL1kdL4KDAEnXVlKCgIH766SesFisXtl/gvsn3sTN2J+P/M577B9yPq5Mrro6uhISEcCT5CH/99Rf+Wn865XbCgoV+/+53TacEXwsGDx7Mvn37GDlyJHv37mXmzJm0atXK7ufevXs3d9xxB+np6YSGhrJ8+fIajUkeO3YsvXr1YtKkSaxcuZKpU6dy/PhxPv/88yp3sgoh6tRXXO+da506dbKvqdWxY0d0Oh179+5tMA7zViNa8cy5Z/Bq6lXfolQLhUqBXy8/nEOdydiRgTnfXGLKLoDWT4tPFx8cAxzrSUobDh4OBA8OJmndP8Z3bTJe0V5oAi49ZAqlguH/G06zgc0wZhvRWrVkn8tm57c7yc/IJz/z0rTpAz8fwK+lH374kbIxhaDBQVcdb1oewipAQYn71pBpIO3PNKw6K1899xVT5k1h0/5NfLWm7GnxzzR9BvMJMz5NffB08iT7UDaeHT0bzLMAtq/YrVu3MmHCBH755RfGjRtHSkoKBw4c4LvvvsNqtdK5c2dWrlx51TjZlaFJkyb89ttvzJ07l3/96198/fXXxMfHs2zZsquOOMjPz2fVqlX8/PPPJCcns23bthrLU1nkcLIyqI1xvNc7ZelhNVopSivClGvCnGdG46bBOcwZtXO9vp9LYcw2krQuCWuRzS2idFSSZk2jzc1tcPJxojClkPzz+RQk2CZYqBxVOIY5cmbrGVBBi2Et2PbmNo4tOYZHqAe3/ec2NA4anEOcCbgloNSio0IIjv54FEOugc6Pdi6xDHluci6bX9vM4fmH8WzqSdsxbYm6PwqtRkvGzgwQ/6wG3dMXdYCaL774gnPnzlFQUEB2Vjbnz57nYtJFRkSNIGBDAAgY8fEIPDxtvfvurdzx6e7ToIwvQFFREcOGDWPz5s0l0u+9916+/PLLazL77o8//uDee+8lLy+PHj16sHbt2jKNb25uLm+++SaffvophYWXJhOdPXuWZs2aldq/0Y3jnTdvHvfeey8eHh726ZYffvhhuStL1BU3quFtSJjzzeiO68g7m4elqJxl6hXg3tod72jvUvEpDHoD8zrNI/tcNs0HNqf7uO6oVCo0Hhq8OnnhEuaCQqHAYrTwx+Q/OPj1QQCaDmjKqO9HYSowsW/ePvZ+uhdTQckVCRRKBX0n9yWsaxjOYc54dfbCWGDELajsgPJCCOb3m8+FPy/g2ceTyRsnUxhXaDPcgGtzV/x6+VVrFer6wmQysXLlStavX8/nn3/OoEGDePvtt+nWrXaXvLqSAwcOMHDgQLKzs0sZX4PBwE8//cTLL79sX/2mefPmjBkzhjFjxtClS5cyX3CNbhxvTEwMTzzxBH/99RdHjhzh7bffZurUqfaA0xJJeahd1Ph09cG7sze5F3I5tfMUvkpfrEVWHLwdcAp2wq2ZGw5eZftJte5axiwZwzc3f8PZDWfJS82jzxO2IN9pW9LQ+mtxCHPgj8l/cH7beRRKBSqtirhNccxtORdj7qWJHyE9Qxjw9gDykvLY89EeEvcn8uf//mTk5yNBwI8dfiQvJY/7195vX/H2cmJ/iuXCnxdQO6kJnhgMgHtLdxQqBel/pZN3Ng+r0Yp/X/9qu0LqA6VSySeffMKsWbNqLVj81ejcuTMbN27k1ltvZdeuXYSHh9OzZ0/8/f1ZsWIFOTk5gK1/ac6cOQwbNqxevibq1fAWT/nbtGkTEydOZMiQIUyfPr0+RZI0MBRKBU5NnLjofJGo26JQK9WVNk7BXYO5f+39LB2zlNQjqax+YzURvSNwdHQk/WQ6Fw5cAAEObrbYxJ4Rnvx898/2MJjNBzen6+SutBrRCpPeRKo+lX6T+7E1ZiuJBxL5/dnfMRWabIOsgD8m/cGkw5NQO1567NJj01k3dR1gi+CV65drz3NrbpuMkrYtjYKEApLXJhM4IBCVU913btaEujK6xXTq1ImNGzcyfPhwkpKSSkzkCAkJ4YknnuCFF16o10hn9Wp4lUolixcvZsmSJaxcaQsfZzSWPYVUIrkaCoWiyi3CiP4RPL7vcRbfuZjUv1M5tuxYifzgDsEM+XgIYQNsI1Ue3f0oJ387SZPuTfBq6oWwCvTH9WQdykKYBBpXDWN/HssvE3/hwvYLAEQ/HM2Z1WfIPJXJ9ne2039Gf/SJera+sZWDXx9EWAUe4R70eKEH67esL3F8l3AXgoYEkbIpBUOGgQu/XsAlxAWXCBecQ50bnO+3rujUqRPx8fEcPnyYHTt2kJCQwG233Ub//v1rZeXsmlLvroZZs2bx2GOPERERwalTp7jlllvqUyTJDYhnhCeP7HqEkytOknY0jYwTGbj4utC0W1Mc1Y5Yki0YMg1ofbRonDW0v7c9QggKEgvI3JeJSWfz8ToGOOLf1x+1s5pxv4/jr/f/IuzmMFoMa8Gxn47x890/s33WdrLOZHFs6TGsJlvnYOuRrRn8weBypzo7+jsSfFswqZtTMelM5MXlkReXh1sLN3x7+krjWw4ajYauXbtWaZn7uqJeDW/37t1Zvny5fbtly5bMnTu3/gSS3LBonGwG9XKEVZCyIYXC5EJSNqXQ5PYmKFQKitKKyPk7B0OGbYyzUqvEu7M3bpFu9g4wR09Hbn37Vntdbce0pcWwFpxedZoj39smFoT3DWfA2wPs474rWjbcwcOBkDtDMKQbyIvPQ3/CtmySxk2DZwfP2jwVkjqgXg1vTk4O8+bN4+zZs/ZluAG++eabepRKIrGhUCrw7+9P0qokTDoTF36+YPfXgm0MtHtrdzyjPFE5VOx3VSgUDPtsGD+N/QmPUA96TetFSI+qzdJUKBQ4+jvi6O+Ixk1D5p5Msg5koXZT4xpRt0tKSWpGvRreMWPG4OfnR8+ePa+61pVEUh+oHFQEDgjk4uqL9nHDKicVrk1t68WpnSr/CHmGe/LYntpZGsijjQcmvQn9CT3p29PRuGrsa9dJrn/q1fAmJyfbg6BLJNcrGncNoXeGYim0oHZVl1q2qL7w6eaDKddE4cVLrhC1y/U12UVSNvV6BzVv3hydrvIrlkok9YXKUYWDl8N1Y3TB5goJ6BtgX6cudXMqVrP16gUl9U69vh7d3Nzo2rUrt912G46Ol+IAvPfee/UolUTScFA62ILbX/zjIoZMA6mbUgm4JeC6ekFISlOvV6dly5bcf//9+Pj44OLiYv9VlmeeeYaIiAgUCgVHjx4tlb9gwQIUCoV9jLBE0hjRuGkIvCUQhVpBYXIhyeuSy59GLbkuqNcW7+uvv16j8mPGjOHFF1+kd+/epfISExOZN28ePXr0qNExJJKGgGOAo22ixQbbRIuEFQk4+jmi9dHi3tK9wc12a+zUuyd+2bJlHDp0qERA9Mq6GioKpvP444/z0Ucf8dJLL121HoPBgMFwKe6sXm9btM9kMpUaW1m8XdGYy4ZAY9EDGo8uNdVD5aHCf6A/6ZvTsRRYKEgooCChgNxzufgP8q/VeMNXo66uSV3E0b1Sl9rQqV4N73PPPcfZs2fZv38/48aN46effmLQoEE1rvfzzz+nXbt2dO/evVL7z5o1i5kzZ5ZKX7duHc7OzmWWWb9+fZnpDY3Gogc0Hl1qqodCo8DJ1QknixO+Rb6gh9PLTxPnGodQ1G0wwmtxTbQWLR5GDzxMHmitWoxKIwalgWyHbPQO+qtXUE2KdSkoKKhxXfVqeDdu3Mjhw4fp1KkTH3zwAS+++CKPPvpojeqMi4vjyy+/5K+//qp0menTp/P888/bt/V6PaGhoQwePLjMsJDr169n0KBBDTKcYjGNRQ9oPLpcCz2MOUbS1qfhYnKhm0c3fG6um9i+10IXYRHoDuvIPZFbIl1r1aK1anE3u+PV3gvXyNqdTHKlLsVfxDWhXg2vo6MjSqUShUKByWQiICDAHiezuuzcuZOkpCTatGkDQEpKCo888ghvvfUWjz1W9uB1rVaLVlt68LlGoyn3pqkoryHRWPSAxqNLbeqh8bN1vCVvSKbwQiF57nl4d/Gulbordfxa0sWoM5K2LQ1jli2IllMTJ1ybuuLo54g530xeXB65p3PJ3pONEiUebWo/IlqxLrWhT70PJysoKKB379488MADBAYG1lip++67j/vuu8++3b9/f6ZOncrw4cNrKq5E0iBxCnLCr5cf6dvTyTmag9pdjXuL6gXwrg+ExRYzw5xnRqlV4nezHy6hl0Y/adw1OAY6onRQojumI3NPpm06d8vrV8d6HU72448/olaref/992nXrh1KpZKffvqp0uWfeuopQkJCSExMZODAgURGRl5DaSWShotbczc8O3oCkLEzg4KLNfdT1hX6k3rMeWZUTipCRoSUMLrFKBQKvLt449neE4CMXRkUJF6/OtZbi9disTB16lQWLlwIwL///e8q1xETE0NMTEyF+2zZsqU64kkkjQ6vjl6Y9bbP8pRNKfj39se16fUdXMdqtJL9dzYAXtFeFa7/p1Ao8OrshbnQTN7ZPFK3phI8NBitz/UXw6LeWrwqlarG/lyJRFJ5FAqF7TM93AWskLYtjZxjOVzP693mHMvBarCi8dDgFln2mnWXo1Ao8Ovph1OQE8IsSN2SalsB+jqjXl0NAwcO5Mknn2TPnj3ExsbafxKJ5NqgUCnw7+uPexub/zNrXxZpW9OwGK6/mW7mQjO6WFssF+9O3pVe7FOhUhDQPwClVok5z0z+hfxrKWa1qBdXw7hx4/jxxx/58ssvAVizZo09T6FQcO7cufoQSyK5IVAoFfh080HjqiFzXyb55/MpyigioG8Ajv6OV6+gjsjcm4kwC7R+WpzDyh5PXx5KByXurd3JOZyD7qgOl3CX62qljnoxvCdOnABsY24lEkndo1Ao8GjrgaO/I6nbUjHnmknekEzwkOvDJ1qQWEB+XD4owLd79ZY38mjlge6oDkOmgaK0IpwC6m9xyyupF1fD9fTmkUhuZLS+WkLuCMEx0BFhEiRvSMaoq98FZ60mKxm7MgBbwPfqvghUTipcm9s6D3XHrq/ws/XS4j1y5Aj+/v6l0ovnXaelpdWDVBLJjYlSoyTwlkCS1iZhzDKSvD4Zn64+uIS5VNqvWptkHczCnG9G7arGK9qrRnV5tPUg91QuBQkFGHVGHDwcaknKmlEvhrdly5asWrWqPg4tkUjKQOmgJGhgEElrkjDpTaRtTUPtqsazgyduzd1QqEoaYGEVmAvMqBxVKNWlP5yNOUZcTa4UpRYhXAQaT02lvnT1p/Toj9um5Pr28K1xXGEHDwecQ50pSCgg+1A2Af0CalRfbVEvhler1RIeHl4fh5ZIJOWgclIRPCwY3XEd+hO2SQsZOzPIOZKDRxsPFBoFwiwoSiuiMKkQq9G22oXSQYmDlwPOIc6o3dToT+gpSimiKU1J35gO2GbP+fbyReNa/szU/Av5dheDZwdPnJtUrUOtPLyivShIKCA/Ph9DO8N1sTZdvRje63ncoERyI6PSqvCO9saznSe5p3PJOZKDOc9M5t7M0jsrAGGb5FCUWkRRalGJvEJlIW4ubljyLBQmF5K4IhGfbj5lTuUtTC4kbVsaCHCLdMOrU81cDJej9dbi2syVvHN5ZO7PJGhwUL33M9WL4T148GB9HFYikVQSpUaJR1sP3Fq6oT+ppzC50GaslP98voc4o/XVIswCc76ZwpRCChILMOlMuIS74NzCmXVb1zFs2DAohPS/0ilKKyJjZwZKjbLEjLncc7mk/5UOVnAOcca3Z/VGMVSEVycv8uLzKEqxtdZrqzVdXeo9ELpEIrl+UaqVeLbzxLOdZ5n5CgcFDg4OOHg5lIgIdnmwcI27hqChQWTuzUR/XE/6jnQ0Hho0bhpyjuSQcyQHAJcIF/x7+1+TDj2NqwaP1h7oYnVkHcjCKdipXlu90vBKJJJrjkKhwKerD6YcE4XJhaRsTEFYBFaDzU/s0dYD767e19QYenbwRH9KjzHLWO+tXrkUqUQiqRMUSgX+/fxRu6qxFFiwGqyo3dT49/HHp9u1D9CuclTh1sIW76G+x/XKFq9EIqkzVFoVgQMDyfk7B6dgWzDzuhwr7NHWA/0Jm8/akGVA610/Ixxki1cikdQpDh4O+Pfxt40PruMJGhpXjS06G/Xb6pWGVyKR3FAUdxTmxeVhzjfXiwzS8EokkhsKra8Wx0BHEJB1IKteZJCGVyKR3HB4d/YGBeSdyyM/oe7j9UrDK5FIbjgc/RzxaGsbd5yxM6POA8FLwyuRSG5IvKK90LhrsBRayp4SfQ2RhlcikdyQKNW2peIB8s7mYcgy1Nmx5TheiURyw+Lo74h3Z28cvBzqdExvg27xPvPMM0RERKBQKDh69Kg9/eGHH6ZVq1ZER0fTt29fDh06VH9CSiSS6xrPDp44h9Tt9OEGbXjHjBnD9u3bS8X2HTlyJMeOHePQoUO8+OKL3H333fUkoUQikZSmQbsa+vbtW2b6iBEj7H/36NGD8+fPY7VaUSrLfs8YDAYMhkv+Hb3eFgHfZDKViLJUnHb5/w2VxqIHNB5dGose0Lh1qQ2dFKIRRCWPiIhg5cqVtG/fvlTef/7zH44ePcqvv/5abvkZM2Ywc+bMUulfffUVzs71G7dTIpFcXxQUFPDoo4+Sk5ODh4fH1QuUhWgEhIeHiyNHjpRKX7hwoWjZsqVITU2tsHxRUZHQ6XT2X2xsrADkT/7kT/7K/SUkJFTbZjVoV0NFLFmyhJkzZ7Jx48YyVzS+HK1Wi1Z7qUfT1dWVhIQE3NzcSoWq0+v1hIaGkpCQgLt76SVMGgqNRQ9oPLo0Fj2gcesihCA3N5fg4OBq19koDe/SpUt59dVX2bBhA2FhYVUur1QqCQkJqXAfd3f3Bn9DQePRAxqPLo1FD2i8ulTbxfAPDXpUw1NPPUVISAiJiYkMHDiQyMhIAMaPH09RURF33nkn0dHRREdHk5lZtzNTJBKJpDwadIs3JiaGmJiYUumNoSdVIpE0Xhp0i7c+0Gq1vP766yV8wg2RxqIHNB5dGoseIHW5Go1iOJlEIpE0JGSLVyKRSOoYaXglEomkjpGGVyKRSOoYaXirwOnTp+nVqxctW7bkpptuIjY2tr5FqhRFRUWMHDmSli1bEh0dzdChQ4mPjwcgLS2NoUOH0qJFC9q3b8/27dvrV9hKMnPmzBJR6RqiHgaDgaeffpoWLVrQrl077r//fqBh6rJ27Vq6dOlCp06daN++PQsWLACuf13Ki3BYkdwFBQWMGzeOyMhIWrZsybJly6p+4GrPebsBueWWW8S3334rhBDip59+Ej169KhfgSpJYWGh+OOPP4TVahVCCDF37lwxaNAgIYQQDz30kHj99deFEELs2bNHhIWFCZPJVF+iVor9+/eLoUOHirCwMPtU8Yaox3PPPSemTJlivy5JSUlCiIani9VqFd7e3uLw4cNCCCHi4uKEVqsVer3+utdl69atIiEhoVTYgYrknjlzpnjggQeEEEKcO3dOBAQEiKysrCodVxreSpKamio8PDzsJ99qtYqAgAARFxdXv4JVg71794rmzZsLIYRwcXERaWlp9rxu3bqJzZs315NkV6eoqEj06NFDnDt3rsTD0tD0yMvLEx4eHiI3N7dUXkPTpdjwbt26VQghxOHDh0VwcLAwGAwNRpcrDW9Fcrdt21bs2bPHnjd27Fh7g6yySFdDJUlISCA4OBi12jbnRKFQEBYWxoULF+pZsqozZ84c7rjjDjIzM7Farfj5+dnzIiIirmudXnvtNe6//36aNm1qT2uIepw9exYfHx/eeustunbtSp8+fdi4cWOD1EWhULB06VJGjRpFeHg4vXv3ZsGCBeTm5jY4XeDq99OFCxdKxACvjk7S8FaBKwPmiAY4BPq///0vp0+f5u233wYalk47d+5k7969TJ48uVReQ9IDbLMrz507R9u2bdm3bx+ffvop9957L2azucHpYjabmTVrFitWrOD8+fNs3LiRBx54AGh416WYq8l9eX51dJKGt5KEhoaSmJiI2WwGbCc7ISGhWkF46ovZs2ezbNkyVq9ejbOzMz4+PgCkp6fb9zl//vx1q9PWrVs5ceIETZs2JSIigsTERIYMGcKePXuAhqMHQHh4OEqlkvHjxwPQsWNHmjZtyvHjx4GGpcuhQ4dISkri5ptvBqBbt24EBwfz999/Aw1LF+Cqz0VYWJi9c/rKvEpTLYfIDUq/fv1KdK517969fgWqAh988IHo3LlzqU6ABx54oEQnQmho6HXV+VERl/vlGqIegwYNEn/88YcQQoj4+Hjh6+srkpKSGpwuKSkpws3NTZw4cUIIIcTp06eFl5eXSExMbDC6XOnjrUju119/vUTnmr+/v8jMzKzS8aThrQInTpwQPXr0EC1atBBdunQRR48erW+RKkVCQoIARLNmzUTHjh1Fx44dxU033SSEsD00gwYNEpGRkaJt27Ziy5Yt9Sxt5bn8YWmIepw9e1b069dPtG/fXnTs2FEsW7ZMCNEwdfnhhx9E+/btRVRUlOjQoYP48ccfhRDXvy6TJ08WTZo0ESqVSgQEBNg7nSuSOy8vT9x9992iefPmokWLFuKnn36q8nFlrAaJRCKpY6SPVyKRSOoYaXglEomkjpGGVyKRSOoYaXglEomkjpGGVyKRSOoYaXglEomkjpGGVyKRSOoYaXglEomkjpGGVyKRSOoYaXglEomkjpGGVyKRSOoYaXglEomkjpGGVyKRSOoYaXglEomkjpGGVyKRSOoYaXglEomkjpGG9zpDoVCQl5dX5XImk4mZM2fSunVr2rVrR6dOnRg5ciSHDh0CYP78+YwZM+aq9cyYMYOpU6dW+fj9+/dn5cqVADz44IN8+umnVSq/ZcsWunbtWql9Z8yYgdForLKMNeHQoUMsXbq0WmXj4+Px9fUtM+/K8/3dd98RERHB8ePH+e2335g2bVq1jnn5sb/44osSacOGDePs2bNVqkehUBAVFUV0dLT9l5OTUyPZbmTU9S2ApHZ46KGHyMvLY+fOnXh5eQHw+++/c+zYMaKjo+tXuFpm5syZTJ06FQcHh1qr02w2o1aX/zgcOnSIlStXcvfdd9faMa/kk08+4bPPPmPr1q2Eh4fTpk0bRowYUaM6iw3v448/bk9btWpVterasWMHrq6uNZKnPK52/hsbssV7HTJ79mxuvvlmWrZsyY8//njV/U+fPs2vv/7KN998Yze6AHfccYd9Fdsree+992jXrh0dOnRg/Pjx6HQ6e96FCxcYNmwY7du3Z8SIEWRnZwOwceNGevbsSadOnWjfvj3ffvtthXIVFRURGBhIQkKCPW369Om89NJLFZYrbiG+9tprdOnShcjISLuxmDRpEgC9evUiOjqatLQ0cnNzeeyxx7jpppuIiopi0qRJmEwmAGJjY+nevTvt27fnvvvuo0ePHvaWef/+/fn3v//NrbfeypAhQzCbzQwZMoSuXbvSrl07xo8fT0FBAWlpabz22mts2LCB6Ohouwx79+5lwIABdO3alc6dO/PLL7/YdYiJiSEyMpI+ffrw1VdfVagvwOuvv863337Ltm3bCA8PB0p+pWzZsoXo6GgmT55Mx44dadeuHfv27bOXX7t2Lb1796ZLly50796dbdu22c9XbGws0dHRdiMeERHB0aNHAbh48SJjxowhKiqKqKgo/vOf/1xV1speq4rOUXG5N954gz59+jB37txyr9XevXtp06ZNiWXUe/bsyerVq6sk63VF7SwZJ6ktADFjxgwhhG0xRB8fH3HhwoUKyyxZskRERUVVuM+3334rRo8eLYQQYtWqVaJ169YiOztbCCHEY489JiZPniyEsK2gGhgYKFJSUoQQQjz55JPiySefFEIIkZWVJcxmsxBCiMzMTBEeHi6SkpKEELYVmH///XchhG2F1rlz5wohhHjllVfEv//9byGEEEVFRSIgIEDExcWVkm/z5s2iS5cuQggh4uLiBCCWL18uhBBi9erVomXLliXOUW5urn37scceE999950QQgir1SoeeeQR8eGHHwohhOjcubNYuHChEEKIffv2CaVSaZezX79+YtiwYcJoNNrLZmRk2P+eNGmSeP/990udPyGEyM7OFp06dbLrn56eLsLCwkRycrI4fPiwCAoKKnEOfXx8yrwur7/+uvDx8SlxPYq5/JibN28WarVa7N27VwghxOeffy4GDx4shLDdJz179hQ6nU4IYVvlNzg4WBiNxhLntZjLFwnt37+/eO+99+x5aWlpZcoJiA4dOtgXS7311luFEBVfq4rOUXG577//3n6Miq5Vr169xPr164UQQuzfv19ERkYKq9VapqwNgRunbd+AePTRRwFo1qwZvXv35s8//+S+++6rsIxCobD/ffbsWUaPHk1hYSF9+/blyy+/LLHvhg0bGD9+PJ6engA8+eST3Hvvvfb84cOHExAQAMDjjz9u/7zOzMzkkUce4dSpU6jVajIyMjh27BhBQUHlyjV58mS6d+/Oa6+9xuLFi+nevTsRERFXPQcuLi7ceeedgK11U5FPcvny5ezatYsPPvgAgMLCQhwcHNDr9Rw9etR+7rp06UJUVFSJshMmTECj0QAghOCjjz7ijz/+wGw2o9Pp6Nu3b5nH3LFjB+fOneO2226zpwkhOHnyJIcPH+b2228vcQ4r8g/fdNNNHDx4kJUrV3L//feXu1+rVq3sfvCePXsye/ZsANasWcOZM2dKyXr5l0ZZ5OXlsWPHDtavX29P8/PzK3f/8lwN5V2ris5ReHg4jo6OjBs3DuCq1+rZZ58lJiaGgQMHMnfuXCZPnlzinm9oSMPbALjaDdapUydOnz5NdnY2Xl5eNG/enEOHDjF//nz7Z/XlCCFK1VnRMYrzJk2axB133MEvv/yCQqGgc+fOFBUVVShbkyZN6NOnDz///DMxMTG8/fbbFe5fjKOjo/1vlUqFxWIpd18hBMuXL6dZs2Yl0nU6HQqFokLdLjckP/zwA1u3bmXbtm24ubkxZ84c+yd7WceMiooqM7+4Q7OytG3blvfee49BgwZhtVqZOHFimftdeU7MZrNdlqFDh/Ldd9+VKnPhwoUqyVIdyrtWFZ2j+Ph4XFxc7Nem+J4s71qNGjWKl156iYMHD/L777/z0UcfXQNN6g7p470O+eabbwDbzbl9+3Z69+5d4f4tWrTgzjvv5JFHHinR05yfn1/m/oMGDWLx4sXk5uYC8MUXXzBw4EB7/h9//EFaWhoAX3/9tT0vOzub8PBwFAoF27Zt4/Dhw5XS59lnn+Wll15Cr9eXOE51cXNzK+GTHjFiBO+8847dEGVnZ3PmzBk8PDxo27at3U9+8OBBjhw5Um692dnZ+Pj44ObmRm5uLvPnz7fnubu7lzhmr169OH36NJs2bbKnHTp0CKPRyC233MKqVatKnMOr0b59ezZu3MjLL798Vd/5lQwePJg1a9bY/bYAe/bsKVPuy3F1daV3794ljFh6enqVjl0RFZ2jK7natVKr1TzxxBOMGDGC0aNH27/WGirS8F6HaLVabr75ZgYPHszcuXMJDQ0FbMOALu9QuZz58+fToUMHunfvTtu2bbn55pvZsGFDmcORbrvtNiZMmEDPnj3p0KEDer2+REv01ltv5ZFHHqF9+/acP3+et956C4B33nmHadOm0aNHD+bPn0/37t0rpU+PHj3w9PTkqaeeqpXPwxdeeIEBAwbYO9c+/vhj1Go10dHRREVFMXDgQOLj4wHb8KyPPvqILl26EBMTQ8eOHfHw8Ciz3okTJ5KXl0fbtm0ZNWoUffr0sefdeuut5Ofn07FjRyZNmoSXlxe///47b775Jh07dqRt27a8/PLLWK1WoqKieOWVV+jVqxe9e/cmODi4Unq1bduWjRs38uqrr1aqQ66YFi1asGjRIh599FE6duxImzZt+OSTTwCIioqiVatW9o7SK1m4cCG7du2iXbt2dOzYscJhgMUdmsW/qw1Jq+gclcXVrtUjjzzCxYsXefrppytzWq5rFEJc1lUokVwDEhISuOmmmzh16hRubm51euz8/HycnZ1RKBTExsbSv39/Tp48WWL0h+T64GrXaunSpcybN4+NGzfWs6Q1R/p4JdeU1157jW+++YZ33nmnzo0uwF9//cW0adPsQ5G+/PJLaXSvUyq6VkOHDuXUqVP8+uuv9SlirSFbvBKJRFLHSB+vRCKR1DHS8EokEkkdIw2vRCKR1DHS8EokEkkdI0c1lIHVaiUpKQk3N7cGPS1RIpHUPkIIcnNzCQ4ORqmsXttVGt4ySEpKsk9akEgkkrJISEggJCSkWmWl4S2D4vGmCQkJuLu7l8gzmUysW7eOwYMH24OrNEQaix7QeHRpLHpA49ZFr9cTGhpao3Hp1Ta8+fn5/PXXXyQmJuLk5GSfEtgYKHYvuLu7l2l4nZ2dcXd3b9A3VGPRAxqPLo1FD7gxdKmJG7LKhvf8+fPMmDGDVatW0b59ewIDAykqKuLNN99EoVAwdepUHnrooWoL1BgRQpCXnEf2uWw0Lhrcgt1w8XNBoSz7whnzjVgMFhQqBSoHFRqnhn3jSiSSklTZ8E6YMIHnn3+eL7/8stRSHfHx8cybN49PP/20UQSyqC4Wo4UjPx4hcVciKQdSSDuWhinfVGo/hVKBUq1E66HF2dcZlYMKfYKewqzCEvs5uDngFuSGV3MvAqIC8Gvnh4u/C05eTriHuOMa5Co7ASWSBkSVDW958UnBtqTIrFmzaiRQQyfzdCa/jPuF5P3JJdIVSgUeYR6Yi8zkpeaBAGEVWIwWCtILKEgvKLdOY66RzNxMMk9lcmb1mVL5jp6O+LXzo+mAprQY1oLgbsEoVXKkoERyvVIrnWs6nY6EhATat29fG9U1WI4tPcaKh1dgyjfh6OVI50c7E9QliMCOgXg180LloALAYrJQlFOE1WzFarJSpCuiIKMAc6EZ91B3PMI8cHBxwGqx2gx1Sh65Sblknswk9e9UMk5kUJhVSGFWIblJuRTlFJHwVwIJfyWw7c1tOHk70WxQM5oNbIajpy1ItdpRjWugK66Brrj4u4BsIEsk9Ua1De/QoUNZvHgxarWajh07ArZ4pm+88UatCdeQyDmfw68Tf8VisBDeL5xRi0bhHuJe5r4qjQoXPxf7tgdlx4dVqpWotWocPRzxbeVL01ualtrHbDCTeTKTpP1JnF1zljNrz1CYVcixJcc4tuRYufI6+ThhdbSS4p+C1k2Lg5sDjh6OOHo74hHmgUeYB76tfPFt44taKwe/SCS1SbWfqNTUVDw9PVm6dCl33nkns2fPpkuXLjes4d38n812oztx48Q6+9RXa9UERAUQEBVAp4c6YTVbSdydyJk1Z0jckYjFaAEFmApM5Kfmk5eSh9VspTDT5kdOuZhSYf0KlQKflj4ERgcS2CmQkO4hNLmpCWpHaYwlkupS7aenePnsbdu2MXToUDQaTbVncQwePJiUlBSUSiVubm7MnTvXvrrAxIkTOXv2LFqtlv/973/2ZXAKCgp45JFH2Lt3L0qlknfeeYdRo0YBtplnzz77LKtWrUKhUPD8888zefLk6qp6VZIPJvP3or9tunwwuF79q0q1krCbwwi7OazMfGEVFGYVkp2QzZZVW+jcoTNWgxWD3oBBZyA/PR99gp6c+BzSY9Mpyi4i43gGGcczOPqjbWkZlYMKv7Z+KDU2PTXOGpy8nHDydcIzwhOvZl54R3rj28oXrbsWs8FM7sVcCrMKMRWasBgsaD20OHk7oXJQYS4y2/zYpzLJOJFBUU4RGhcNDq4OuAa44tbEDScvJ4QQWM1WCjIKyEvOw1RowtnHGa2XlsL4Qox5RjRecgSI5Pqn2oa3ffv2DBkyhJMnT/Lee+9RUFB+59DVWLp0qX0NpeXLl/Pwww9z4MABXn75ZXr06MGaNWvYu3cvY8aM4ezZs6jVambPno1Wq+XMmTPExcXRs2dPbrnlFry8vFi0aBGxsbGcOnUKnU5H586dGTBgAK1bt662jOUhhGD9tPUgoMN9HQjuUrllXuoLhVKBs68zGg8NrhdcibwtstxxlkIIcpNyST2cSsqhFJIPJJPwVwJ5KXmkHKq4pVyM1kOLQWeoTRXK5eRzJ3EJcCGocxDB3YLxbu6Ns58zbkFu+Lb2la10yXVDte/E+fPns3z5cpo0aYKzszMJCQm8++671arr8oXrdDqdveW8dOlS4uLiAOjWrRsBAQFs376d/v37s2TJEvtihE2bNqVv376sWLGCBx98kCVLljBp0iRUKhXe3t7cfffdLF68mBkzZlRX3XI5u/YscRvjUDmoGPD2gFqvvz5RKBS4N3HHvYk7LYa1AGzGOPtcNhnHM+z7GfONFGUXkZ+WT05cDllns8g8lUl+ar7d6Kod1TaD76xBqVFi0BsozCzEYrKgcdKgcdbg1dwL39a+OPs5Y8o3YdAbyE/Nt3cgKpQK+4vDNdAVjbOGgswC8tPyyTiXgSXXQn5qPmdWnyk1+kOhUuDbyhf/Dv74tfXDt7Uvnk098QjzwNHDESEESpXS3gEqkVxLqm14V69ezcsvv4xCoSAuLo6srCw++eQThgwZUq36Jk6cyObNmwFYs2YNmZmZWK1W/Pz87PtERETYl6u+cOEC4eHhlc4rb5FIAIPBgMFwqVWm1+sBmzul2KVSTPF28f/x2+IB6PpUV1yauJTa/3rlSj2qgluYG25hV58uWaQrIvdirm3MsY/TNRtrbDKZWL9+PX1v6ovunI7k/cmkHEgh92IuBekF9rHR6bHppMdWsIquAnxa+dCkexOCugThH+WPXzs/tO7aKstuLjJTpCtC42xzmVSmfE2uyfVGY9alNnSqtuF9++232b9/v3257o4dO9oNX3X47rvvAFiwYAHTpk1j4cKFpW7WK1cpujy/KnlXMmvWLGbOnFkqfd26dTg7O5dZZv369bY/ukPL91uSH5jPqlWrKjzO9Yhdj2tJ/LU/BMC2Pf+MMQ8HZbgSj3/+BYpATFkmiuKKKEosouhCEUUXizClmzBlm6D49hCQeSKTzBOZ/L3g70sVq0DlrELpqESpUaJwUKByUqFyVqHQKGxD86xgyjFhyjJh1pkRxkv3nEKtQOOtwampE07NnXAMdUQbqMUhwAGlk7LUfV58TYRZUHCmgIIzBZh1Ztsv14wlz4Il34KlwIK10IrSWYlzpDPOzZ1xjXLFKcKp3FmR5SEsAoWq9l+MdXJ/1RHFutTErVpMtQ2vUqnEx8enRFptzMl+4IEHmDRpkn07PT3d3uo9f/48YWG2TqOwsDDi4+NL5A0bNqxEXrdu3UqVK4vp06fz/PPP27eLg2AMHjy4zFgN69evZ9CgQQ16Dnpj0QNqpovFaMFcZLaN/Mg3kbw/mYu7L5J6OJW0I2nkJuaCBSy5Fiy5lmrJJ8wCY5oRY5oR3W5diTy1oxpnP2fcQ9xxD3cnvSAdXydf8pLySDmQUuaMx1LowJhsJOfPHACc/Z3xa+eH1WxFmAVqJzUOrg6ondQo1TZDX5RdRH56PgUZBRRmFGLQG3DydsKnlQ8+rX0I7BxIUOcgvJp74ejlWOUWf2O+v4q/iGtCtQ2vm5sbqamp9guyefPmaq3eqtfrycvLIzjY1in166+/4uPjg7e3N2PHjiUmJoYZM2awd+9eUlJS7KMaivPmz59PXFwcW7du5X//+589b968eYwaNQqdTseSJUtYs2ZNuTJotVq0Wm2pdI1GU+5NU1FeQ6Kx6AHV00Wj0UDxkGpv8Ar1ou3IS8GeDLm20R4GvcEeQ8NUYLKl6w2YC822HRXg4ueCWxM3XANdcfJ2QuumxVRoojCzkOy4bJIP2FwgmaczyTqTRWFmIeYiM/oEPfoEPey0VZXOJXeIk48TYb3DcA9xx9nPGWcfZ5x8nHDyckLrrsXB1YG8lDyS9ieRuDOR+M3xFKQVcD7tfJXPX2FWIYk7E0ncmcjhbw/b01Va27hzjbMGtZMaZx9n3Jq44RLggkqjQqFUYCowUZRdhLnIjFsTmysq52IOF1QX0LpoMegNtnyDGaXK9uXgEeaBd6Q37k3cK91CF1aB7oKOvJQ88tPzKcy0TSQqzLadS2GxjXwp/srVOGtw9HTEwdUBi8GCMd9IzrkcUo+kkn02G6VGicbJptfko5Mr9PEX31+18bxU2/C+++67DBs2jLi4OPr378/p06f5/fffq1yPTqdj9OjRFBYWolQq8fPzY+XKlSgUCt59910mTJhAixYtcHBwYOHChfb4ENOmTePhhx8mMjISpVJJTEwM3t7egC2exN69e2nZsqV93zZt2lRXVckNjNZNi9at9Eu5sji4OODg4oBHmAcR/SJK5BnzjOSn55Oflo/uvI6M0xkc23OMDj074BnmiX97f/zb+1/VKAVEBdB8cHPA1oJP3JWILkGHykGFUqXEVGjCmGfEVGBCWATCKnD0dMTF3wVnP2dc/Fxw9HQkNzmXjBMZpB1JI3l/MskHkslPy8disKBPrF4rL/69+Ertp3HRoHXX4hbshme4J85+zvbZlaY8W0er/qKejOMZmApq129ciG1Me/HwyLqg2oa3a9eubNq0iR07diCEoFevXiVGJ1SW0NBQ9uzZU2ZeQEAA69atKzPPxcWFJUuWlJmnUqmIiYmpsiwSSV3i4OqAg6sDXk29COkegslkImdVDj2G9ah2q0rloCK8b/jVdywDF38XAjsGwj2X0oqnrOen52MuMmMqMNk6LC/qyU/Lt7UwLVY0ThocvRxRO6rRJ+jJOpvFxTMXcXVwtY3bdrON21Y7qu1T4XPic8iJy8FqtmLKN2HKN5GXnFcqzklZOroFu+Hs64yzrzNO3k62Y//jSlGqlJeM9j8tcWOeEbWjGrWTGvcm7gREBeDTygdhFZgLzZiLzHUaaKrKhvdyx7JGo6Ffv34l8srrjJJIJA0PtaMazwhPPCM8q1TOZDKxatUqhg0bVuFLxGq2UphVaHfp6BP16C7oKMgssHd6alw0OHo44uznjF9bP7ybe6NUN+wgUFU2vK6uthCExT6U4reEEAKFQoHFUr0OCIlEcuOhVCtx8XexBW4CgjoH1bNEdUOVDa/Var0WckgkEskNQ7V9vOWN2a1o2JZEIpFIamB4u3TpYnc5FBUVUVBQgI+PD2lpabUpn0QikTQ6qm1409NLTr1ctmwZhw4dqqk8EolE0uipta7BUaNG2WMtSCQSiaR8qt3ivXxYmcViYffu3aSmptaKUBKJRNKYqbbhvXxYmUqlIjIykjlz5tSmbBKJRNIoqbbhlcPKJBKJpHrU2MebmpoqRzJIJBJJFai24T1+/DgdOnSgdevWtGrViqioKE6cOFGbskkkEkmjpNqGd/LkyUyfPp3s7Gyys7N55ZVXePLJJ2tTNolEImmUVNvwZmdnc99999m37733XnJycmpDJolEImnUVNvwqlQqYmNj7dsnT56s9vLuEolEciNRozXX+vXrR6dOnVAoFBw6dIiFCxfWpmwSiUTSKKm24R06dCixsbHs3r0bIQQ9e/bE19e3NmWTSCSSRkmNfAN+fn4MHz6cO+64o9pGt6ioiJEjR9KyZUuio6MZOnQo8fHxAPTv359mzZoRHR1NdHQ0H330kb1cQUEB48aNIzIykpYtW7Js2TJ7ntVqZcqUKTRv3pzIyEg+++yzmqgpkUgktUqVW7yX+3WvxNHRkSZNmpS5cGRFPP7449x2220oFAo+/fRTHn/8cfuSP3PmzGH48OGlysyePRutVsuZM2eIi4ujZ8+e3HLLLXh5ebFo0SJiY2M5deoUOp2Ozp07M2DAAFq3bl01ZSUSieQaUGXDe/vtt5ebZzabycvL44MPPuDhhx+uVH2Ojo72ZdkBevTowccff3zVckuWLGH+/PkANG3alL59+7JixQoefPBBlixZwqRJk1CpVHh7e3P33XezePFiZsyYUSmZJBKJ5FpSZcMbFxdXYX5ycjIDBgyotOG9kjlz5nDHHXfYt6dNm8b06dNp27Yts2bNolmzZoAtEHt4+KVF/SIiIuzB2cvK27dvX7nHNBgMGAwG+7Zeb1tR1WQyYTKVXNG0ePvK9IZGY9EDGo8ujUUPaNy61IZO1e5cK4+goCAef/zxapX973//y+nTp/nf//4HwMKFCwkNDUUIQUxMDMOHDy/h6rh8VdDiNeAqk3cls2bNYubMmaXS161bV+7inevXr7+6Qg2AxqIHNB5dGose0Dh1uTwyY3WpdcML8K9//avKZWbPns2yZcvYsGGD3diFhoYCNiP69NNPM3XqVDIzM/Hx8SEsLIz4+Hj8/PwAOH/+vN1lUZzXrVs3e15FSxJNnz6d559/3r6t1+sJDQ1l8ODBuLu7l9jXZDKxfv16Bg0aVO0luK8HGose0Hh0aSx6QOPWpfiLuCZcE8NbVT788EN+/PFHNmzYgKenJ2DzF2dmZhIQEADAL7/8QkBAAD4+PgCMHTuWmJgY5s+fT1xcHFu3brW3lMeOHcu8efMYNWoUOp2OJUuWsGbNmnKPr9Vqy+wQ1Gg05d40FeU1JBqLHtB4dGksekDj1KU29KmW4b1w4QK5ubm0a9euxgIkJibywgsv0KxZM2655RbAZgg3bdrE7bffjsFgQKlU4uvry2+//WYvN23aNB5++GEiIyNRKpXExMTg7e0NwIQJE9i7dy8tW7a079umTZsayyqRSCS1QZUM7xtvvEHTpk1ZsWIFAQEBODo68sEHH9RIgJCQkHJ9sBV1iLm4uLBkyZIy81QqFTExMTWSSyKRSK4VVTK8ycnJxMfH8/PPPwPwyCOPXBOhJBKJpDFTJcO7detWuw8Wrj5aQCKRSCSlqZLhXb16dYntiRMn1qowEolEciNQJcN7+aSEsrYlEolEcnVqFCTn/fffry05JBKJ5Iahyi3eVq1aATb/7smTJ2XkL4lEIqkiVTK8gwYN4quvvrJvyzXWJBKJpOpUydUwe/bsEtuff/55rQojkUgkNwJVavFePpTswoUL9mhgYWFhFcZCkEgkEsklqjxl+MSJEzz88MPExcURFhaGEIKEhASaNm3K119/LafmSiQSyVWosuF98MEHmTZtGqNHjy6R/vPPP/PAAw+wZ8+eWhNOIpFIGiNVHk6WnZ1dyugCjBkzBp1OVytCSSQSSWOmyobX19eXhQsXYrVa7WlWq5UFCxbYQzZKJBKJpHyq7GpYsGABTzzxBM8++yzBwcEoFAoSExPp1KmTfQ00iUQikZRPlQ1vZGQkGzduJD09nYSEBMC2UkTxShASiUQiqZhqr0Dh5+cnja1EIpFUgxrFapBIJBJJ1alVw1u81E5VKCoqYuTIkbRs2ZLo6GiGDh1KfHw8AGlpaQwdOpQWLVrQvn17tm/fbi9XUFDAuHHjiIyMpGXLlixbtsyeZ7VamTJlCs2bNycyMlLGk5BIJNcVVXY1XL68+pXk5eVVS4jHH3+c2267DYVCwaeffsrjjz/OunXrePnll+nRowdr1qxh7969jBkzhrNnz6JWq5k9ezZarZYzZ84QFxdHz549ueWWW/Dy8mLRokXExsZy6tQpdDodnTt3ZsCAAbRu3bpa8lXE77//zrfffoujoyNOTk4oFApyc3PJy8uz/wwGA2q1GrVajbOzM+7u7jg7O6NUKlEoFKhUKjQaDVqtFnd3dzw9PQkICCAsLIygoCBUKhVgW2zPyckJZ2dnXF1d7YvumUwmCgsLcXR0RKPRlFjaXiKRXH9U2fC2b9+eiIiIMlefyMjIqLIAjo6O9mXZAXr06MHHH38MwNKlS4mLiwOgW7duBAQEsH37dvr378+SJUvsoyiaNm1K3759WbFiBQ8++CBLlixh0qRJqFQqvL29ufvuu1m8eDEzZswoUwaDwYDBYLBvFy/fbDKZMJlMJfYt3i7+PzY2ll9//bXKetcGWq0WIQRGo9GeplKpcHV1xd3dHTc3Nzw9Pe2GvHXr1rRu3ZqIiAgCAwMBm+6FhYVotVqUStsHkBACg8FAVlYWGRkZ5Ofn218cl6+ympubi06nIycnB51OR35+PlqtFkdHR1xdXfHw8MDNzQ2lUmm/X4QQqFQqe4fslS+JwsJCMjIyyMjIIDs7Gw8PDwIDA/Hz88PBwaHM83DlNSnGYDCQnp5Odna2/RprtVo8PT1xd3fHYrFgMpnsL7v6pjw9rtwnJSWFjIwMnJ2dcXNzQ6vVYrVaEUJgsViwWCy4u7vj7u5eLTnMZjOHDx9m165dZGVlYTAYMJlMpZ55pVKJs7Mzzs7OBAcH06FDB1q1aoWDg0OldGkoXKlLbehUZcMbHh7O9u3bCQ4OLpUXGhpaY4HmzJnDHXfcQWZmJlartUQHXkREhD0+xIULF0oEYr9aXkULZ86aNYuZM2eWSl+3bh3Ozs5lllm/fj1gM36TJk3CaDRiNBoRQuDk5GRvARe3Qq1WK2az2W7oDAYDQgiEEFitViwWC0ajkYKCAvLz88nOzrYbH7AZLLPZjNFotI+hvvxlUYzFYkGn01VqMotarcZsNtu3HR0dUalUFBUVYbFYrlq+phQbjuJzk5+fX+IlciVarRZnZ2ccHBxQqVQolUqMRiMmkwlHR0fc3NzQaDTk5OSQnZ1NQUFBlWTx8/MjODiYJk2aEBoaSlhYGCEhIVVazlsIQVFREUajEYPBQE5ODpmZmeTl5aFSqVCr1faXU/GXi6urK3q9nosXL5KWlsbixYvJy8ujsLDQ/svOziY7O7tKk5R8fHwIDQ0lODiYoKAgXF1dycvLIz8/H6VSiYODA0ql0n7vpaWlkZiYyPnz5ykqKqr0cS5HpVIRFBRESEgIgYGB/Prrr3h6euLv74+/vz/e3t72L7hrjdVqtT9v+fn59vvCYrGgVqvt91Dxr3PnzvbGR1kUP/NVua/Ko8qGd8SIEZw7d65Mw3vnnXfWSJj//ve/nD59mv/9738UFhaWag1d+ca9PL8qeVcyffp0nn/+efu2Xq8nNDSUwYMHl2o1mEwm1q9fz6BBg6r0QNYmRqOR/Px8cnNzAXBzc8PJyQmDwUB+fj55eXn21mhxizQhIYHjx49z8uRJEhIS0Ol0JYwuUOphU6lU+Pj44Obmhtlstn8BFLd+iltVnp6eeHh44OLigtFopKioyH78y91PxdfEZDKRlJREQUFBmTexWq3Gz88PT09P9Ho9KSkpWCyWUl8mV5KcnFwqTaVS4eXlZTfYxS35YuOjVqvtL7zz589z/vz5UuXDwsJo2rQpLVq0oEOHDrRr185eLisriwsXLhAfH8+RI0c4fPiw/WV5rdBoNPj6+lJYWIhery8xmUmpVKJSqTCZTGRmZpKZmcmhQ4eqfAxPT0969epFSEgIWq22lAuruMFQbNTi4uI4cuQIer2exMREEhMTy6zX0dGRNm3a0KZNG5o0aYK/vz++vr54eXnh6elp/4IzGAz2l0RmZqa9EVLsxiv+KtLpdCgUChQKhf0eLX4ZV3VNyMLCwjJfClc+88VfxDWhyob3k08+KTfv008/rbYgs2fPZtmyZWzYsMH++QKQnp5ub/WeP3/eHgUtLCyM+Pj4EnnFLovivG7dupUqVxZarRatVlsq/fLP6qrkXWs0Gg0uLi74+/uXSHdzc8PX17dSdWRkZLB8+XJuv/12XF1d7cbSaDTi5uaGq6ur3U1wLSgqKuLcuXPodDo0Gg1qtRpPT0+8vb1xc3Mr8ZBbrVa7OyMnJ8f+6Wu1Wu1+9Q0bNtCiRQtMJhMBAQEEBQUREBCAp6dnmTpYrVZ7en5+PgkJCcTFxXHy5ElOnDjBsWPHOHLkCDqdjri4OOLi4ti0aVOVdNRqtfj7+9OkSRO8vb3tro2CggLy8vLQ6XT2l4CLiwuRkZE4OTnRoUMHfHx8cHd3x8XFBTc3N4KCgggKCiI4OBgfH58SbqFiXS4/Zzk5ORw/fpzY2FhOnz7N6dOnyc3Nxdvb227gioqKMJlM9ns5LCyM1q1b065dO9q0aVPlay+EIDExkePHj3PkyBH+/PNPXFxcSE1NJT4+ngsXLlBUVMTBgwc5ePBglequCUqlEnd3dwIDAwkICMDR0dFuoItdMxaLBa1WW2H/SPF5qo3nXiGq+FrYvXs33bt3Lze/sLCQuLg42rZtW+k6P/zwQ77//ns2bNiAl5eXPf3BBx8kIiKCGTNmsHfvXkaPHs25c+dQq9XMmDGD+Ph45s+fT1xcHD169OD48eN4e3szf/58Fi1axNq1a9HpdHTq1Ik1a9ZUOnKaXq/Hw8MDnU5XZot31apVDBs2rN4Mb23QWPSAa6eLEILk5GTOnTvH2bNniY2N5e+//+bEiRMA9s7Q8PBwwsPDadeuHdHR0bRo0cLeeVoZjEYjGo0Gs9ncqK+JxWIhLi6Oo0ePcvz4cVJSUkhNTSUzM9PuRlEqlfaOZldXV1xcXPDx8cHX19f+UnZzc8PHx8f+VQS2a3V5H0Txz9nZ2f5yri1dKrIPlaXKLd733nsPnU7H+PHj6dWrF4GBgRQWFnLixAlWrVrFmjVr+PjjjytteBMTE3nhhRdo1qwZt9xyC2C7oXfv3s27777LhAkTaNGiBQ4ODixcuBC12ibytGnTePjhh4mMjESpVBITE4O3tzcAEyZMYO/evfbhbdOmTZPhKiVVRqFQEBwcTHBwML17975mxymv07CxoVKpiIyMJDIykpEjR9a3OPVKlQ3vL7/8wt69e5k3bx5vv/02iYmJuLi4EBUVxejRo9mxYweurq6Vri8kJKRcX0xAQADr1q0rM8/FxYUlS5aUmadSqYiJiam0DBKJRFKXVGvKcLdu3ez+U4lEIpFUDTllWCKRSOoYaXglEomkjpGGVyKRSOqYahvenJycWhRDIpFIbhyqbXhbtGjBY489xuHDh2tTHolEImn0VNvwnjlzhjZt2jBmzBj69OnD0qVL62R+v0QikTR0qm14PTw8eP755zl9+jQvv/wyU6dOJSwsjLfffpv8/PzalFEikUgaFTXqXMvNzWXu3LlMnTqVdu3aMXfuXJKSkhg6dGhtySeRSCSNjmqvuTZp0iRWrFjB6NGjWb58Oa1atQJg1KhRcnquRCKRVEC1DW9kZCQnTpzAw8OjVF5VozhJJBLJjUS1De/kyZOBkkGBi0M5BgUF1VAsiUQiabxU28dbHK/18p+joyN9+/bl5MmTtSmjRCKRNCqq3eJ98803cXV15aGHHkIIwYIFCygoKCAwMJAnnniCLVu21KKYEolE0niotuFdtmwZ+/fvt28/88wz9O7dm+3bt/PBBx/UinASiUTSGKm2q6GgoIBz587Zt8+dO0dmZiaAPVi5RCKRSEpTbcP71ltvcdNNNzFkyBCGDh1K9+7deeutt8jLy2Ps2LFVquuZZ54hIiIChULB0aNH7en9+/enWbNmREdHEx0dzUcffWTPKygoYNy4cURGRtKyZUuWLVtmz7NarUyZMoXmzZsTGRnJZ599Vl01JRKJpNapdtN09OjR9O3bl127diGEoEePHvbFF1955ZUq1TVmzBhefPHFMpdXmTNnDsOHDy+VPnv2bLRaLWfOnCEuLo6ePXtyyy234OXlxaJFi4iNjeXUqVPodDo6d+7MgAEDaN26dfWUlUgkklqkWi1ei8XCSy+9hJ+fH3fccQcjRowoteJtVejbty8hISFVKrNkyRKeeuopAJo2bUrfvn1ZsWKFPW/SpEmoVCq8vb25++67Wbx4cbXlk0gkktqkWi1elUrFnj17aluWMpk2bRrTp0+nbdu2zJo1i2bNmgFw4cIFwsPD7ftFRERw4cKFcvP27dtX7jEMBgMGg8G+rdfrAdvqoiaTqcS+xdtXpjc0Gose0Hh0aSx6QOPWpTZ0qrar4Y477uDdd9/loYceKrG4ZfEkitpg4cKFhIaGIoQgJiaG4cOHExsba8+/fMnmKxfMrCjvSmbNmsXMmTNLpa9bt65cfdavX18pHa53Gose0Hh0aSx6QOPU5fJJY9Wl2oZ36tSpwCV/rhAChUJRq6EhQ0NDAZsRffrpp5k6dSqZmZn4+PgQFhZGfHw8fn5+AJw/f55hw4YB2POKF+Q8f/48YWFh5R5n+vTpPP/88/ZtvV5PaGgogwcPxt3dvcS+JpOJ9evXM2jQIDQaTa3pWtc0Fj2g8ejSWPSAxq1L8RdxTai24bVaraSmpnLy5En69u2LyWTCarXWWKBizGYzmZmZBAQEALZl5QMCAvDx8QFg7NixxMTEMH/+fOLi4ti6dSv/+9//7Hnz5s1j1KhR6HQ6lixZwpo1a8o9llarRavVlkrXaDTl3jSX5xWmFOLg6YDKUVUjneuDinRsaDQWXRqLHtA4dakNfapteH/99Vf+9a9/oVAoiIuLIzY2lunTp7Nq1aoq1/XUU0+xYsUKUlJSGDhwIK6urhw+fJjbb78dg8GAUqnE19eX3377zV5m2rRpPPzww0RGRqJUKomJicHb2xuACRMmsHfvXlq2bGnf91pFTMvcl4numA731u74dve9JseQSCSNi2ob3rfffpv9+/czcOBAADp27Mj58+erVVdMTAwxMTGl0ivqEHNxcWHJkiVl5qlUqjLruxY4N3FGd0yH/pQejzYeaNwbx9tdIpFcO6o9gUKpVNo/+4txcHCosUANDacgJ5yCncAKWQez6lsciUTSAKi24XVzcyM1NdU+emDz5s14eXnVmmANCe8uNhdHfnw+RRlF9SyNRCK53qm2q+Hdd99l2LBhxMXF0b9/f06fPs3vv/9em7I1GLTeWlybuZJ3Lo+s/VkEDQ4qMZxNIpFILqfahrdr165s2rSJHTt2IISgV69eeHp61qJoDQuvTl7kxedRlFJE1r4svLt6S+MrkUjKpEaLXbq5udGxY0fat2+PXq+3zxy7EdG4auyjGnSxOrL2ZV114oZEIrkxqXaLd/78+TzzzDNoNBqUSpv9VigUpKWl1ZpwDQ33lu4gIGNXBrpYHZYiCz7dfBrk+F6JRHLtqNEKFHv27JERv67AvdU/xnd3Bnnn8ihILMC7kzduLdxQqKTrQSKR1MDw+vn5SaNbDu6t3XHwdiBjVwbGbCMZuzPIPpKNRxsP3Fu6o3SokYdHIpE0cKptAUaNGsWnn35KVlYWBQUF9p/EhqO/I02GN8HnJh9UTiosBRay9mdx/qfzpO9Mx5BlkD5gieQqNNZnpNot3pdffhmwrR6hUCiuSZCcho5CqbC3cnPP5aI7psOkM5F7KpfcU7moXdU4hzrjHOKMU4DTDemKEFaB1WjFarTaHjKB7ae09RkIq7D9LAKryYrVZAXxT/Q5hW1fs9mMm8mNotQirE5W1C5qlFqlHFVynSKsAnOeGUuRBYvBgtVgtf9vzjdjyjNhKbDY7wuUoFQrLz0fAlCBUqVEoVbY8jQK+z72n1KBQqNApVXZvjKLb4d/7jEhBFix32Oe7Tzr7BzUKEiOpHIoVArcW7jjFmkzDvoTevIT8jHnmdEf16M/rkehVuAU5ITWV4vWR4uDty3oTkM1HsIiMOWZbA9YgQVzoe1Bsxqstgeu0IK5wIzVUDv3UQQRpG9Mt28r1Ao0bho07ho0bhpUTiqUjkrUTmrULmpULirbg9lAz+/1hhC2F6g534w510yRroiAwgCy92WjsCpsL02zFXOeGZPeZDN+lcWKzQBfgYXabeR5tPWos/uhyob3xIkTdt+u2WwusbDlX3/9xc0331x70jUyFAoFToFOOAU6YTVZKUwupCChgIKLBVgKLba/Ey65a5RaJRp3DSpH2xtb6aC0vb01Ng9R8VdGcevQ/hYXtrd48f/2lqQCFNhakWajmeCCYLL3ZaNSq2wthH9aD0qN8lILobicWmE7rsDe8rQUWmxGtOhSq8X+d2HVHgqF2tZCubxVIoSwG0eFSoHSwdayUaBAcEknIQQ5WTm4u7gjjAJLkQVhFhizjRizjVc58GWt52I9VTb9lVrb+S6WS6FWoHZWo3JSoXb+x4A72a6NQlnzB1ZYBQqhwGKwoDApEBZh/ymUilJfRAq17ZoJi7h0LQptP6vBZuisJuuleqyXrJ1CeamlqNKqbC/54mugpMRLSYh/ypuF/bqbC/55kRqt9pepsJS0pv74k3cqr+zTrlagclTZ7mftpXOtdlGjdlWjdrZ9tdjvObO1RP3CapPn8i+hYhmLdbV/TRmspQ138fUubhmrFPb7qS6osuG97777OHDgAAA33XST/W+AKVOmlNiWlI9So8QlzAWXMBeEEBizjBQmF2LINGDMMmLSm7AarBjSDVevrJr44FPug1EbKNQK+0OkclbZHzSVVmXbdvrnV2zcqonJZGL/qv0MGzYMjUZja1n90/Iy6oyXPmuLLLbWd7750kNc/LL6B2EWWLFCftV1RQFYKdmaU2AzZP880cUvjOIXY7HhL/7sbU97kn5Jqva5qG+UWiUaVw0qVxUXki/QtEVT1A5q28tco0TlpLKFUHVuuF9ztUGVDW+Jm/QKx3djdYRfaxQKBVofm4uhGKvZiklnwpRrutSqMF7m94JLLdLiB7m49fZPiwUFpT6nhRAoVAqEQnD27FmaN2+OUqG0t4qKWw/FvtTiY1hNVoRJ2PxtxQ+Ro621Umw8VVrb57zdsNaTq0SpVuLg4YCDhwPOIaVXEBHCpieWy74M+MffZxG2lqLxkt+xeB+r2Yql4JKbxJx/yVUizBXc+5Z/6i8LUX6eQn3JV1ncgrv8mgjLpe3ic692+qcVrlXav14ur8d+2GI9TVasRTZd7a3iy/yel99DxX5UlaPt+qqd/mmVOlxKU6psX2Mmk4ndq3bTqWOnRhOPtzapsuG9/EG68qG6kd9gtY1SrSxljGsTk8lEalIqXaK73HAPhkKhQOVQO5NaLu8cBMps3V7eqi52a9iN4GUuFbMws37DeobcNgSNg6ZSz5OwiJL1SRoEVTa8RUVFHD9+HCFEib+L8ySSGwmF8h9fZS3MThQmgVVhrVKn3404EqYxUGXDW1BQYF/bDCjxt2zxSiQSydWpsuGNj4+/BmJcXxS34Mta1M5kMlFQUIBer2/Qn+iNRQ/4f3t3HhPF+cYB/DscpQUV5VTE3eWUAMsi6opay6GIJcVYUTzQUKR4VYmpqanVar2qrdomHm20aVFT2wpVW6OxTaTiUU3FKniiWwXdDRUoSAUV3HWf3x/E+QkoV9ldZn0+ySbszOzM+wzvPLy8M/u+1hOLtcQBWHcsT/LCf7mn1eHneK1ZTU0NgP/PcswYY03V1NTA2dm5Q58ViB9FaMZoNKK0tBTdu3dv1n3yZOp3rVbbbOp3KbGWOADricVa4gCsOxYiQk1NDby8vMSRGduLW7zPYGNjA29v7xa36dGjh+QrFGA9cQDWE4u1xAFYbywdbek+wcNkMcaYmXHiZYwxM+PE204ODg5Yvnw5HBxM88UGc7GWOADricVa4gA4ltbwzTXGGDMzbvEyxpiZceJljDEz48TLGGNmxom3HTQaDYYNG4bAwECo1WpcuXLF0kVqk7q6OowbNw6BgYEIDw/HmDFjxK9+l5eXY8yYMQgICEBoaChOnjxp2cK20YoVKyAIAi5dugRAmnHU19dj3rx5CAgIQEhICKZNmwZAmrH8+uuvGDhwIAYMGIDQ0FDs3LkTQNePJTMzEwqFolFdAlou94MHDzBlyhT4+/sjMDAQ+/bta/+BibVZTEwMZWVlERFRTk4ORUZGWrZAbfTw4UM6dOgQGY1GIiLavHkzxcXFERFRWloaLV++nIiIzpw5QzKZjPR6vaWK2iZ//vknjRkzhmQyGV28eJGIpBnHggULaP78+eLvpbS0lIikF4vRaCQXFxcqLCwkIqLi4mJycHCge/fudflYjh07RlqtluRyuViXiFr+HaxYsYJSU1OJiOjmzZvk6elJVVVV7TouJ942KisrI2dnZ/HkG41G8vT0pOLiYssWrAPy8/PJz8+PiIicnJyovLxcXDd48GA6evSohUrWurq6OoqMjKSbN282ulikFkdtbS05OztTTU1Ns3VSi+VJ4j127BgRERUWFpKXlxfV19dLJpamibelcgcHB9OZM2fEdRMnThQbZG3FXQ1tpNVq4eXlJc4xJwgCZDIZbt++beGStd+mTZuQmJiIyspKGI1GuLu7i+sUCkWXjmnZsmWYNm0afHx8xGVSjOPGjRtwdXXF6tWrMWjQIIwYMQK5ubmSjEUQBGRnZ2P8+PGQy+V49dVXsXPnTtTU1EguFqD1+nT79m3I5fJnrmsrTrzt0HTAHJLgI9Aff/wxNBoN1qxZA0BaMZ0+fRr5+fmYO3dus3VSigNoGGrw5s2bCA4OxtmzZ7FlyxZMnjwZBoNBcrEYDAasXbsWP//8M27duoXc3FykpqYCkN7v5YnWyt10Oq324sTbRv369YNOp4PBYADQcLK1Wi1kMpmFS9Z2GzZswL59+3D48GE4OjrC1dUVAFBR8f9p0W/dutVlYzp27BiKiorg4+MDhUIBnU6H+Ph4nDlzBoB04gAAuVwOGxsbpKSkAABUKhV8fHxw9epVANKKpaCgAKWlpeIM44MHD4aXlxcuXLgAQFqxAGj1upDJZI3GJe9QTB3qEHlBRUVFNbq5NmTIEMsWqB02btxIERERzW4CpKamNrqJ0K9fvy5186MlT/fLSTGOuLg4OnToEBERlZSUkJubG5WWlkouljt37lD37t2pqKiIiIg0Gg316tWLdDqdZGJp2sfbUrmXL1/e6Oaah4cHVVZWtut4nHjboaioiCIjIykgIIAGDhxIly5dsnSR2kSr1RIA8vX1JZVKRSqVitRqNRE1XDRxcXHk7+9PwcHBlJeXZ+HStt3TF4sU47hx4wZFRUVRaGgoqVQq2rdvHxFJM5bvvvuOQkNDKSwsjJRKJX3//fdE1PVjmTt3LvXt25dsbW3J09NTvOncUrlra2spOTmZ/Pz8KCAggHJyctp9XB6rgTHGzIz7eBljzMw48TLGmJlx4mWMMTPjxMsYY2bGiZcxxsyMEy9jjJkZJ17GGDMzTrysywoPD0d4eDiCg4NhZ2cnvp80aRKWLVuGPXv2mPT4paWlUKvVMBqNJj1OawoLC5GQkGDRMrDOZWfpAjD2PAUFBQCAkpISDBo0SHxvLqtXr8a8efNgY2P69onBYBBHvmtKpVLBzs4OeXl5iI6ONnlZmOlxi5dJ0ltvvYUtW7YAAD766CNMmTIFb7zxBvz9/ZGcnIzz588jNjYWvr6+ePfdd8XP3blzB8nJyVCr1QgLC8OyZcueuf+6ujrs2bMHEyZMAACsX78es2bNEtdXV1fDzc0NVVVVABoGIFKr1YiIiEBCQgK0Wi0AIDc3F0OHDhVnZsjKyhL3ER0djSVLlmDkyJGIj49HRUUFRo8eDaVSibCwMKSlpYnbTp06FV999VUnnT1mcZ30lWfGTKa4uJhcXV0bLUtNTaXNmzcTUcOgJf7+/lRdXU0Gg4HCwsJo9OjRVFdXR7W1teTu7k7Xrl0jIqLRo0eLA3br9XqKj48Xx0h42vHjx8XxLIiI7t69Sx4eHlRdXU1ERBs2bKAZM2YQEdHu3bspIyODDAYDERHt2rWLxo4dS0REVVVV4vLKykqSy+XiTBNRUVGUkJBAjx49IiKizz77jDIyMsRjPj3wyq1bt8jT07ND5491PdzVwKxCfHw8nJ2dAQBhYWFQqVRwcHCAg4MD+vfvj5s3b6Jv37747bffUFZWJn6utrYWRUVFzfan0+nQu3dv8X3Pnj2RlJSEHTt2IDMzE19++SVycnIAAD/99BPOnj2LgQMHAgAeP34MW1tbAA2Daqenp+P69euws7PDP//8g8uXL6NPnz4AgOnTp8Pe3h4AEBkZic8//xwLFy5EVFQU4uPjxeP37t0bZWVl0Ov14vZMujjxMqvw8ssviz/b2to2e28wGGA0GiEIAvLz81tNXo6Ojnj48GGjZZmZmRg3bhz8/Pzg6emJAQMGAGgYm3np0qWYMWNGs/3Mnj0biYmJ2Lt3LwRBQEREBOrq6sT13bp1E38eOnQoCgoKcOTIEezduxdLly7F+fPnYWtri7q6Otjb23PStRLcx8teGN27d8eIESOwbt06cVlpaSl0Ol2zbVUqVbOWcFBQEBQKBebMmYN58+aJy8eOHYsvvvhC7O/V6/U4f/48AODu3buQy+UQBAHHjx9HYWHhc8tXXFyMbt26ITk5GZs3b8b169dRW1sLALh69SrCwsI6HjzrUjjxshfK7t27cfXqVSiVSiiVSiQlJaGysrLZdgqFAu7u7rh8+XKj5RkZGTAYDOJNN6Chu2DatGmIjo6GSqVCeHg4jh49CgBYt24d3nvvPURGRmLHjh0YMmTIc8uWl5eHgQMHIjw8HMOHD8f69evF7pNffvkFSUlJnXEKWBfA4/Ey9hzZ2dk4duwYtm7dKi6bO3cu+vTpgw8//NBs5Xj06BEGDx6M3NxcuLm5me24zHS4j5ex50hOTkZZWRmMRiPu3LmD2NhYuLi44JNPPjFrOYqLi7F27VpOulaEW7yMMWZm3MfLGGNmxomXMcbMjBMvY4yZGSdexhgzM068jDFmZpx4GWPMzCT9HO/jx4+h1+stXQzGmAXY29uLgxFJjWQTb21tLXQ6HfgxZMZeTIIgwNvbu9FAQ1IhyS9QPH78GBqNBo6OjnB3d4cgCJYuEmPMjIgIFRUVePDgAQICAiTX8pVki1ev14OI4O7ujldeecXSxWGMWYC7uztKSkqg1+sll3glfXONW7qMvbikfP1LOvEyxpgUceLtRBqNBsOGDUNgYCDUajWuXLnSbJu8vDw4OjqKU5WHh4c3m+mgqZKSEjg5OeHRo0fiMoVCgYyMDPH9iRMn4Ovr23nBdFEGgwErV65EUFAQQkJCEBQUhJkzZ6K6urpD+ysoKEB2dnaHy6NQKHDp0qUOf14KMjMzoVAoIAjCc2Plet0+nHg70axZszBz5kxcv34dixYtQnp6+jO3Cw4ORkFBgfhqrZ9aoVDAw8MDZ86cAQDcunULLi4u+P3338Vt8vLyEBMT03nBdFHp6enIz8/H6dOncfnyZVy5cgVxcXHi7A/t1VriNRgMHS2q1ZgwYQJOnjwJuVze4nZcr9vOKhIvEcGoN5r01drDH+Xl5Th37hymTZsGAEhKSkJxcTFKSkraHMfu3bsxaNAg1NfXg4iQmJgojv0aExODvLw8AMDRo0eRkJCAXr16idPWmLKCEhHu379v8ldr5/ivv/5CTk4OsrKy0KtXLwCAjY0NJk6cCF9fX3z66acICQmBUqlESkoK/v33XwAN079PnToViYmJCA4ORmxsLKqqqlBeXo5ly5bhyJEjCA8Px+zZswE09B1u3LgR0dHRWLx4McrKyvDmm29CqVQiNDQU27dvN8l5boqI8Oj+I5O+2vJQ02uvvQZvb+8Ox9FV67UlSfKphqbIQCj5rsSkx1BMVUCwf35nvlarhZeXF+zsGk6pIAiQyWS4ffs2FApFo22vXbuGiIgI2NraIi0tDXPnzgUApKSk4Pjx41i4cCHkcjkeP36MRYsWAWiooDt27MDSpUuRl5eHlJQUGI1GHD16FJMmTcLp06exc+dOk8T+4MEDszwrWVtbCycnp+euP3fuHAICAp45IPjhw4eRlZWF06dPo2fPnpg5cyY++OADcfaIP/74A/n5+XBxccHkyZOxbds2LF68GCtXrsTBgwfx448/NtpffX29mBAmTZqEoKAg7N+/H+Xl5eL0PGq1uvOCfwb9Az3Wdltr0mMsrl2Ml5xe6pR9Sa1eW5JVJN6uould1me1JiIiIqDT6eDs7AydToeEhAS4ubkhOTkZALBp0yao1WocOHAA586dE/cZExODWbNmob6+HqdOncLWrVtBRNizZw/kcjm8vb3/U6tE6o4cOYKUlBT07NkTADBnzhxMnjxZXP/666/DxcUFQMNsvhcvXmxxf0/PGHzkyBFxkkoPDw+MHz8eubm5Jk+8UsL1un2sIvEKdgIUUxUmP0ZL+vXrB51OB4PBADs7OxARtFotZDJZo+169Ogh/uzt7Y0pU6bgxIkTYgUtLy/H3bt3YTQaUV1dLbbuvL290bdvX2RnZ8PNzQ1OTk4YPnw45s+fD5lMZtJ/xxwdHcXZbk3J0dGxxfURERHQaDSorKyEq6tro3VE1OwP39PvnzXde0uatvBb2rep2DvaY3HtYpMfozNIsV5bklX08QqCABt7G5O+WrvQPDw8MGDAAHz77bcAgL1790KhUDTrZvj7779hNBoBADU1NTh48CAGDBgAoOFGzqRJk7Bq1Sps2LABEydORH19vfjZmJgYrFq1CtHR0QAAJycnuLi4YPfu3SatoIIgwMnJyeSv1s6xv78/kpKSkJ6eLj7FQETYtWsX/Pz88MMPP6CmpgYAsH37dowaNarV2Hr06CH2BT/PqFGjxH7diooK7N+/H7GxsW04c/+NIAh4yeklk7466w+IFOu1JVlF4u0qtm3bhm3btiEwMBDr1q3D119/DQB4++23ceDAAQANCVmpVEKlUiEyMhJxcXFIS0sDALz//vvo378/UlNTMXnyZAwZMgQLFiwQ9x8TEwONRoOoqChxWVRUFDQajVhprd0333wDlUqFIUOGICQkBCEhITh16hRSUlIwffp0DB06FEqlEvfu3cOaNWta3d/IkSNx//59qFQq8eZaU5s2bcKFCxcQFhaGmJgYLFmy5IXqZnjnnXfg7e0NnU6HUaNGwd/fHwDX6/9CkmM11NXVobi4GD4+Po3+hWSMvTiknAe4xcsYY2bGiZcxxsyMEy9jjJmZpBOvBLunGWOdRMrXvySf47W3t4cgCKioqOCB0Bl7AT0ZCF0QBNjbd86zyOYkyacaAJ76h7EXHU/9YyE82SVjLy4pT3Yp6cTLGGNSJOmba4wxJkWceBljzMw48TLGmJlx4mWMMTPjxMsYY2bGiZcxxsyMEy9jjJnZ/wAdDh4ePYvtyQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 360x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Start and end model times\n",
    "st = '2202-01-01'\n",
    "et = '2301-12-31'\n",
    "\n",
    "fig, axes = plt.subplots(nrows = 2, ncols = 1, figsize = (3*1.2, 3*1.2))\n",
    "\n",
    "## Looping through the 0.5xW, control and 1.5xW experiments\n",
    "for i, j in enumerate(session):\n",
    "    \n",
    "    ## Plotting AMOC\n",
    "    psi_amoc = cc.querying.getvar(expt[i], 'ty_trans_rho', session = session[i], use_cftime = True, start_time = st, end_time = et).sel(\n",
    "        grid_xt_ocean = slice(-103, -5)).sum('grid_xt_ocean').sel(method = 'Nearest', grid_yu_ocean = 26)*1.0e-9\n",
    "    psi_amoc = psi_amoc.sel(time = slice(st, et))\n",
    "    psi_amoc_sum = psi_amoc.cumsum('potrho') - psi_amoc.sum('potrho')\n",
    "    psi_amoc_sum = psi_amoc_sum.sel(potrho = slice(1035.5, None)).max('potrho').resample(time = 'Y').mean()\n",
    "    axes[0].plot(time_val, psi_amoc_sum.rolling(time = 5, center = True).mean().dropna(\"time\"), label = name[i], color = cmap[i])\n",
    "    axes[0].set_xlabel('', fontsize = 8)\n",
    "    axes[0].set_ylabel('Transport (Sv)', fontsize = 8)\n",
    "    axes[0].set_title('a. Atlantic Meridional Overturning Circulation', fontsize = 8)\n",
    "    \n",
    "    ## Plotting globally integrated kinetic energy\n",
    "    ke = cc.querying.getvar(expt = expt[i], session = session[i], variable = 'ke_tot', use_cftime = True)\n",
    "    ke = ke.sel(time = slice(st, et))\n",
    "    ke = ke.coarsen({\"time\": 364}, boundary = \"trim\").mean()\n",
    "    axes[1].plot(time_val, ke.rolling(time = 5, center = True).mean().dropna(\"time\"), color = cmap[i])\n",
    "    axes[1].set_xlabel('Time (years)', fontsize = 8)\n",
    "    axes[1].set_ylabel('Energy ($10^{15}$ Joules)', fontsize = 8)\n",
    "    axes[1].set_title('b. Globally Integrated Kinetic Energy', fontsize = 8)\n",
    "    \n",
    "axes[0].grid()\n",
    "axes[1].grid()\n",
    "    \n",
    "fig.legend(bbox_to_anchor = (0.5, -0.05), loc = 'lower center', ncol = 3, fontsize = 8)\n",
    "plt.tight_layout()\n",
    "#plt.savefig('/g/data/x77/db6174/Flux_forced_models/2022_paper_figures/Figures/Wind/AMOC_KE.pdf', bbox_inches = 'tight', dpi = 300, transparent=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2309f480-23ff-4826-aef1-adce15b35038",
   "metadata": {},
   "source": [
    "## 3. Time series for North Atlantic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c0e5080e-66ab-4ed1-ada0-360d21d37cf4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'b. North Atlantic')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 300x150 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (2.5*1.2, 1.25*1.2))\n",
    "\n",
    "## NETCDF saving 95th percentile (refer to Section 2.2: Gyre Metrics in https://www.navidconstantinou.com/publications/buoyancygyres.pdf) gyre strength\n",
    "variable = xr.open_dataset('NETCDF/Gyre_95th/NA_STG/psi_iso95_wind_STG.nc')\n",
    "variable = variable.to_array().mean('variable')\n",
    "\n",
    "## Plotting time series - looping through 0.5xW, control and 1.5xW experiments\n",
    "for i in np.arange(0, 3, 1):\n",
    "    variable.isel(expt = i).plot(label = name[i], color = cmap[i])\n",
    "\n",
    "## Plotting dotted horizontal pink and purple lines for Sverdrup linear scaling\n",
    "plt.plot(time_val, 0.5 * (time_val/time_val) * (variable.isel(expt = 1).mean('time')).values, color = 'plum', ls = '--', alpha = 0.8)\n",
    "plt.plot(time_val, 1.5 * (time_val/time_val) * (variable.isel(expt = 1).mean('time')).values, color = 'purple', ls = '--', alpha = 0.8)\n",
    "\n",
    "## Plotting attributes\n",
    "plt.grid()\n",
    "plt.yticks([15, 20, 25, 30, 35, 40])\n",
    "plt.xlabel('Time (years)', fontsize = 8)\n",
    "plt.ylabel('Transport (Sv)', fontsize = 8)\n",
    "plt.title('b. North Atlantic', fontsize = 8)\n",
    "\n",
    "#plt.savefig('/g/data/x77/db6174/Flux_forced_models/2022_paper_figures/Figures/Fig2/NA_STG_wind3.pdf', bbox_inches = 'tight', dpi = 900, transparent=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44fad30e-b459-4ab8-955e-f837654ad795",
   "metadata": {},
   "source": [
    "## 4. Time series for North Pacific"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "391473c5-e47b-4b11-8409-88b9b6ef2aad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'a. North Pacific')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 300x150 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (2.5*1.2, 1.25*1.2))\n",
    "\n",
    "## NETCDF saving 95th percentile (refer to Section 2.2: Gyre Metrics in https://www.navidconstantinou.com/publications/buoyancygyres.pdf) gyre strength\n",
    "variable = xr.open_dataset('NETCDF/Gyre_95th/NP_STG/psi_iso95_wind_STG.nc')\n",
    "variable = variable.to_array().mean('variable')\n",
    "\n",
    "## Plotting time series - looping through 0.5xW, control and 1.5xW experiments\n",
    "for i in np.arange(0, 3, 1):\n",
    "    variable.isel(expt = i).plot(label = name[i], color = cmap[i])\n",
    "\n",
    "## Plotting dotted horizontal pink and purple lines for Sverdrup linear scaling\n",
    "plt.plot(time_val, 0.5 * (time_val/time_val) * (variable.isel(expt = 1).mean('time')).values, color = 'plum', ls = '--', alpha = 0.8)\n",
    "plt.plot(time_val, 1.5 * (time_val/time_val) * (variable.isel(expt = 1).mean('time')).values, color = 'purple', ls = '--', alpha = 0.8)\n",
    "\n",
    "## Plotting attributes\n",
    "plt.grid()\n",
    "plt.yticks([15, 20, 25, 30, 35, 40])\n",
    "plt.xlabel('Time (years)', fontsize = 8)\n",
    "plt.ylabel('Transport (Sv)', fontsize = 8)\n",
    "plt.title('a. North Pacific', fontsize = 8)\n",
    "\n",
    "#plt.savefig('/g/data/x77/db6174/Flux_forced_models/2022_paper_figures/Figures/Fig2/NP_STG_wind3.pdf', bbox_inches = 'tight', dpi = 900, transparent=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02926498-a76b-4fbe-8854-ab39ccd85c70",
   "metadata": {},
   "source": [
    "## 5. Time series for South Atlantic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c7a7fb51-e2c6-45c4-9131-b03eceab874a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'd. South Atlantic')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 300x150 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (2.5*1.2, 1.25*1.2))\n",
    "\n",
    "## NETCDF saving 95th percentile (refer to Section 2.2: Gyre Metrics in https://www.navidconstantinou.com/publications/buoyancygyres.pdf) gyre strength\n",
    "variable = xr.open_dataset('NETCDF/Gyre_95th/SA_STG/psi_iso05_wind.nc')\n",
    "variable = variable.to_array().mean('variable')\n",
    "\n",
    "## Plotting time series - looping through 0.5xW, control and 1.5xW experiments\n",
    "for i in np.arange(0, 3, 1):\n",
    "    (-1 * variable.isel(expt = i)).plot(label = name[i], color = cmap[i])\n",
    "\n",
    "## Plotting dotted horizontal pink and purple lines for Sverdrup linear scaling\n",
    "plt.plot(time_val, 0.5 * (time_val/time_val) * ((-1 * variable.isel(expt = 1)).mean('time')).values, color = 'plum', ls = '--', alpha = 0.8)\n",
    "plt.plot(time_val, 1.5 * (time_val/time_val) * ((-1 * variable.isel(expt = 1)).mean('time')).values, color = 'purple', ls = '--', alpha = 0.8)\n",
    "\n",
    "## Plotting attributes\n",
    "plt.grid()\n",
    "plt.yticks([5, 10, 15, 20, 25, 30])\n",
    "plt.xlabel('Time (years)', fontsize = 8)\n",
    "plt.ylabel('Transport (Sv)', fontsize = 8)\n",
    "plt.title('d. South Atlantic', fontsize = 8)\n",
    "\n",
    "#plt.savefig('/g/data/x77/db6174/Flux_forced_models/2022_paper_figures/Figures/Fig2/SA_STG_wind2.pdf', bbox_inches = 'tight', dpi = 900, transparent=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a06d3c07-c43e-4fae-bc7b-0e56d88a8705",
   "metadata": {},
   "source": [
    "## Time series for South Pacific"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fddc50a6-fb83-4c9d-91a8-e9c1962769b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'c. South Pacific')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 300x150 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (2.5*1.2, 1.25*1.2))\n",
    "\n",
    "## NETCDF saving 95th percentile (refer to Section 2.2: Gyre Metrics in https://www.navidconstantinou.com/publications/buoyancygyres.pdf) gyre strength\n",
    "variable = xr.open_dataset('NETCDF/Gyre_95th/SP_STG/psi_iso05_wind.nc')\n",
    "variable = variable.to_array().mean('variable')\n",
    "\n",
    "## Plotting time series - looping through 0.5xW, control and 1.5xW experiments\n",
    "for i in np.arange(0, 3, 1):\n",
    "    (-1 * variable.isel(expt = i)).plot(label = name[i], color = cmap[i])\n",
    "\n",
    "## Plotting dotted horizontal pink and purple lines for Sverdrup linear scaling\n",
    "plt.plot(time_val, 0.5 * (time_val/time_val) * ((-1 * variable.isel(expt = 1)).mean('time')).values, color = 'plum', ls = '--', alpha = 0.8)\n",
    "plt.plot(time_val, 1.5 * (time_val/time_val) * ((-1 * variable.isel(expt = 1)).mean('time')).values, color = 'purple', ls = '--', alpha = 0.8)\n",
    "\n",
    "## Plotting attributes\n",
    "plt.grid()\n",
    "plt.yticks([5, 10, 15, 20])\n",
    "plt.xlabel('Time (years)', fontsize = 8)\n",
    "plt.ylabel('Transport (Sv)', fontsize = 8)\n",
    "plt.title('c. South Pacific', fontsize = 8)\n",
    "\n",
    "#plt.savefig('/g/data/x77/db6174/Flux_forced_models/2022_paper_figures/Figures/Fig2/SP_STG_wind2.pdf', bbox_inches = 'tight', dpi = 900, transparent=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff15c4ca-2d4d-4ac9-b95f-7d433e1047b9",
   "metadata": {},
   "source": [
    "## Time series for South Pacific - revision 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22068350-4fbf-49d5-8384-b0fad4c08d66",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'c. South Pacific')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 300x150 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmap = ['purple', 'black', 'plum']\n",
    "\n",
    "plt.figure(figsize = (2.5*1.2, 1.25*1.2))\n",
    "\n",
    "## NETCDF saving 95th percentile (refer to Section 2.2: Gyre Metrics in https://www.navidconstantinou.com/publications/buoyancygyres.pdf) gyre strength\n",
    "variable = xr.open_dataset('NETCDF/Gyre_95th/SP_STG/psi_iso95_wind_AUNZ.nc')\n",
    "variable = variable.to_array().mean('variable')\n",
    "\n",
    "## Plotting time series - looping through 0.5xW, control and 1.5xW experiments\n",
    "for i in np.arange(0, 3, 1):\n",
    "    (-1 * variable.isel(expt = i)).plot(label = name[i], color = cmap[i])\n",
    "\n",
    "## Plotting dotted horizontal pink and purple lines for Sverdrup linear scaling\n",
    "plt.plot(time_val, 0.5 * (time_val/time_val) * ((-1 * variable.isel(expt = 1)).mean('time')).values, color = 'plum', ls = '--', alpha = 0.8)\n",
    "plt.plot(time_val, 1.5 * (time_val/time_val) * ((-1 * variable.isel(expt = 1)).mean('time')).values, color = 'purple', ls = '--', alpha = 0.8)\n",
    "\n",
    "## Plotting attributes\n",
    "plt.grid()\n",
    "plt.yticks([5, 10, 15, 20])\n",
    "plt.xlabel('Time (years)', fontsize = 8)\n",
    "plt.ylabel('Transport (Sv)', fontsize = 8)\n",
    "plt.title('c. South Pacific', fontsize = 8)\n",
    "\n",
    "#plt.savefig('/g/data/x77/db6174/Flux_forced_models/2022_paper_figures/Figures/Fig2/SP_STG_wind_revised.pdf', bbox_inches = 'tight', dpi = 900, transparent=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31f1d270-0fd8-461b-a52c-f731635b487c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}