Labs/lab12/lab12.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "deletable": false,
    "editable": false
   },
   "outputs": [],
   "source": [
    "# Initialize Otter\n",
    "import otter\n",
    "grader = otter.Notebook(\"lab12.ipynb\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Lab 12: Climate data, CO2 and xarray\n",
    "\n",
    "## Due Date\n",
    "\n",
    "This assignment is due on **Wednesday November 17th, 2021, at 11:59PM PDT**.\n",
    "\n",
    "## Collaboration Policy\n",
    "\n",
    "Data science is a collaborative activity. While you may talk with others about\n",
    "the homework, we ask that you **write your solutions individually**. If you do\n",
    "discuss the assignments with others please **include their names** at the top\n",
    "of your solution.\n",
    "\n",
    "This lab accompanies a lecture for Berkeley's Data 100 that covers the fundamental physical mechanisms behind global warming and analyzes CO2 and ocean temperature data.\n",
    "\n",
    "Authors: Fernando Pérez and [Dr. Chelle Gentemann](https://cgentemann.github.io)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Collaborators:** *list names here*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "nbgrader": {
     "grade": false,
     "grade_id": "setup",
     "locked": true,
     "schema_version": 2,
     "solution": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "# Run this cell to set up your notebook\n",
    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import os\n",
    "\n",
    "from pathlib import Path\n",
    "\n",
    "# Small style adjustments for more readable plots\n",
    "plt.style.use(\"seaborn-whitegrid\")\n",
    "plt.rcParams[\"figure.figsize\"] = (8, 6)\n",
    "plt.rcParams[\"font.size\"] = 14\n",
    "\n",
    "# more readable exceptions\n",
    "%pip install --quiet iwut\n",
    "%load_ext iwut\n",
    "%wut on"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading the Mauna Loa CO2 data\n",
    "\n",
    "We start by loading the same dataset we used during the lecture, containing CO2 measurements in Mauna Loa, Hawaii."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set up to load data either from the shared directory that has the complete set,\n",
    "# or from the local small copy available in the repo\n",
    "\n",
    "DATA_DIR = Path('./data')\n",
    "\n",
    "# If you want to run this on the Berkeley data hub, where we have a larger version of the data,\n",
    "# uncomment the below. But do not do that for submitting the Lab, as the version that will\n",
    "# run on the grader needs to use the path above and only has enough data to grade the Lab.\n",
    "#DATA_DIR = Path.home()/Path('shared/climate-data')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we start by loading the CO2 data from a CSV file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>date_index</th>\n",
       "      <th>fraction_date</th>\n",
       "      <th>c02</th>\n",
       "      <th>data_adjusted_season</th>\n",
       "      <th>data_fit</th>\n",
       "      <th>data_adjusted_seasonally_fit</th>\n",
       "      <th>data_filled</th>\n",
       "      <th>data_adjusted_seasonally_filed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1958</td>\n",
       "      <td>1</td>\n",
       "      <td>21200</td>\n",
       "      <td>1958.0411</td>\n",
       "      <td>-99.99</td>\n",
       "      <td>-99.99</td>\n",
       "      <td>-99.99</td>\n",
       "      <td>-99.99</td>\n",
       "      <td>-99.99</td>\n",
       "      <td>-99.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1958</td>\n",
       "      <td>2</td>\n",
       "      <td>21231</td>\n",
       "      <td>1958.1260</td>\n",
       "      <td>-99.99</td>\n",
       "      <td>-99.99</td>\n",
       "      <td>-99.99</td>\n",
       "      <td>-99.99</td>\n",
       "      <td>-99.99</td>\n",
       "      <td>-99.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1958</td>\n",
       "      <td>3</td>\n",
       "      <td>21259</td>\n",
       "      <td>1958.2027</td>\n",
       "      <td>315.70</td>\n",
       "      <td>314.43</td>\n",
       "      <td>316.19</td>\n",
       "      <td>314.90</td>\n",
       "      <td>315.70</td>\n",
       "      <td>314.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1958</td>\n",
       "      <td>4</td>\n",
       "      <td>21290</td>\n",
       "      <td>1958.2877</td>\n",
       "      <td>317.45</td>\n",
       "      <td>315.16</td>\n",
       "      <td>317.30</td>\n",
       "      <td>314.98</td>\n",
       "      <td>317.45</td>\n",
       "      <td>315.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1958</td>\n",
       "      <td>5</td>\n",
       "      <td>21320</td>\n",
       "      <td>1958.3699</td>\n",
       "      <td>317.51</td>\n",
       "      <td>314.71</td>\n",
       "      <td>317.86</td>\n",
       "      <td>315.06</td>\n",
       "      <td>317.51</td>\n",
       "      <td>314.71</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  month  date_index  fraction_date     c02  data_adjusted_season  \\\n",
       "0  1958      1       21200      1958.0411  -99.99                -99.99   \n",
       "1  1958      2       21231      1958.1260  -99.99                -99.99   \n",
       "2  1958      3       21259      1958.2027  315.70                314.43   \n",
       "3  1958      4       21290      1958.2877  317.45                315.16   \n",
       "4  1958      5       21320      1958.3699  317.51                314.71   \n",
       "\n",
       "   data_fit  data_adjusted_seasonally_fit  data_filled  \\\n",
       "0    -99.99                        -99.99       -99.99   \n",
       "1    -99.99                        -99.99       -99.99   \n",
       "2    316.19                        314.90       315.70   \n",
       "3    317.30                        314.98       317.45   \n",
       "4    317.86                        315.06       317.51   \n",
       "\n",
       "   data_adjusted_seasonally_filed  \n",
       "0                          -99.99  \n",
       "1                          -99.99  \n",
       "2                          314.43  \n",
       "3                          315.16  \n",
       "4                          314.71  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "co2_file = DATA_DIR / \"monthly_in_situ_co2_mlo_cleaned.csv\"\n",
    "data = pd.read_csv(co2_file)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>date_index</th>\n",
       "      <th>fraction_date</th>\n",
       "      <th>c02</th>\n",
       "      <th>data_adjusted_season</th>\n",
       "      <th>data_fit</th>\n",
       "      <th>data_adjusted_seasonally_fit</th>\n",
       "      <th>data_filled</th>\n",
       "      <th>data_adjusted_seasonally_filed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1958</td>\n",
       "      <td>3</td>\n",
       "      <td>21259</td>\n",
       "      <td>1958.2027</td>\n",
       "      <td>315.70</td>\n",
       "      <td>314.43</td>\n",
       "      <td>316.19</td>\n",
       "      <td>314.90</td>\n",
       "      <td>315.70</td>\n",
       "      <td>314.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1958</td>\n",
       "      <td>4</td>\n",
       "      <td>21290</td>\n",
       "      <td>1958.2877</td>\n",
       "      <td>317.45</td>\n",
       "      <td>315.16</td>\n",
       "      <td>317.30</td>\n",
       "      <td>314.98</td>\n",
       "      <td>317.45</td>\n",
       "      <td>315.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1958</td>\n",
       "      <td>5</td>\n",
       "      <td>21320</td>\n",
       "      <td>1958.3699</td>\n",
       "      <td>317.51</td>\n",
       "      <td>314.71</td>\n",
       "      <td>317.86</td>\n",
       "      <td>315.06</td>\n",
       "      <td>317.51</td>\n",
       "      <td>314.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1958</td>\n",
       "      <td>7</td>\n",
       "      <td>21381</td>\n",
       "      <td>1958.5370</td>\n",
       "      <td>315.86</td>\n",
       "      <td>315.19</td>\n",
       "      <td>315.86</td>\n",
       "      <td>315.22</td>\n",
       "      <td>315.86</td>\n",
       "      <td>315.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1958</td>\n",
       "      <td>8</td>\n",
       "      <td>21412</td>\n",
       "      <td>1958.6219</td>\n",
       "      <td>314.93</td>\n",
       "      <td>316.19</td>\n",
       "      <td>313.99</td>\n",
       "      <td>315.29</td>\n",
       "      <td>314.93</td>\n",
       "      <td>316.19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  month  date_index  fraction_date     c02  data_adjusted_season  \\\n",
       "2  1958      3       21259      1958.2027  315.70                314.43   \n",
       "3  1958      4       21290      1958.2877  317.45                315.16   \n",
       "4  1958      5       21320      1958.3699  317.51                314.71   \n",
       "6  1958      7       21381      1958.5370  315.86                315.19   \n",
       "7  1958      8       21412      1958.6219  314.93                316.19   \n",
       "\n",
       "   data_fit  data_adjusted_seasonally_fit  data_filled  \\\n",
       "2    316.19                        314.90       315.70   \n",
       "3    317.30                        314.98       317.45   \n",
       "4    317.86                        315.06       317.51   \n",
       "6    315.86                        315.22       315.86   \n",
       "7    313.99                        315.29       314.93   \n",
       "\n",
       "   data_adjusted_seasonally_filed  \n",
       "2                          314.43  \n",
       "3                          315.16  \n",
       "4                          314.71  \n",
       "6                          315.19  \n",
       "7                          316.19  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get rid of missing values that are set to -99.99 and then drop from the dataset\n",
    "data = pd.read_csv(co2_file, na_values=-99.99).dropna()\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We did this in lecture, as a reminder this is what the data looks like:\n",
    "plt.plot(\"fraction_date\", \"c02\", data=data)\n",
    "plt.plot(\"fraction_date\", \"data_adjusted_seasonally_fit\", data=data);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploring the annual anomaly\n",
    "\n",
    "We are going to try to understand the annual variability on top of the growing trend, and see whether that variability is itself changing over time or not.\n",
    "\n",
    "The figure above shows an annual cycle, alongside with perhaps some variability in it. As we saw in lecture (recall the super computer movie in talk with cities release of co2 strongest in winter), plants take up CO2 in (northern) spring/summer then release in fall/winter --- so the release is getting stronger. \n",
    "\n",
    "Let's try to estimate the increase in amplitude of annual cycle.\n",
    "\n",
    "<!-- why would using a rolling mean make it look like the cycle is getting larger - both summer/winter rather than just winter? with this data can you figure out if summer or winter causing increase? -->\n",
    "\n",
    "In the lecture notebook, we created the following figure, based on a quick and simple groupby operation and removal of the annual mean:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# calculate the annual cycle using groupby\n",
    "annual = data.groupby(data.month).mean()\n",
    "# calculate the anomaly\n",
    "anomaly = annual - annual.mean()\n",
    "\n",
    "# plot\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "ax.plot(\"fraction_date\", \"data_filled\", \"r.\", data=data)\n",
    "ax.plot(\"fraction_date\", \"data_adjusted_seasonally_fit\", data=data)\n",
    "ax.set_xlabel(\"Year\")\n",
    "ax.set_ylabel(\"CO2 fraction in dry air (ppm)\")\n",
    "ax.set_title(\"Monthly Mean CO2\")\n",
    "ax.grid(False)\n",
    "\n",
    "axin1 = ax.inset_axes([0.1, 0.5, 0.35, 0.35])\n",
    "axin1.plot(anomaly.c02, \"b\")\n",
    "axin1.plot(anomaly.c02, \"r.\")\n",
    "axin1.set_title(\"Seasonal Anomaly\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But if you look closely, that figure isn't quite the same as the one shown in slide 9 of the lecture:\n",
    "\n",
    "<img src=\"annual-anomaly-orig.png\" width=\"700px\" />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll start by trying to understand the monthly data. The following shows us the data for all the years, by month:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter('month', 'c02', data=data);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Unfortunately it's hard to see what's actually going on here.\n",
    "\n",
    "### Question 1\n",
    "\n",
    "Recreate the following figure, that shows the monthly cycle for all the years in the dataset:\n",
    "\n",
    "<img src=\"monthly-cycles-co2.png\" width=\"700px\" />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false
   },
   "source": [
    "Hint: Use `sns.lineplot(...)`\n",
    "\n",
    "<!--\n",
    "BEGIN QUESTION\n",
    "name: q1\n",
    "-->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=data, x='month', y='c02', hue='year')\n",
    "plt.legend(bbox_to_anchor=(1.04,1), borderaxespad=0); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false
   },
   "source": [
    "### Question 2\n",
    "\n",
    "Next, in order to recreate the figure in the talk, we're going to find the monthly anomaly averaging across years. You should end up with the following data frame after writing your function and running the cell (only the first few months are shown, it should have data for all 12 months):\n",
    "\n",
    "<img src=\"monthly-co2-anomaly-df.png\" width=\"150px\" />\n",
    "\n",
    "<!--\n",
    "BEGIN QUESTION\n",
    "name: q2\n",
    "-->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>date_index</th>\n",
       "      <th>fraction_date</th>\n",
       "      <th>c02</th>\n",
       "      <th>data_adjusted_season</th>\n",
       "      <th>data_fit</th>\n",
       "      <th>data_adjusted_seasonally_fit</th>\n",
       "      <th>data_filled</th>\n",
       "      <th>data_adjusted_seasonally_filed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>-133.875</td>\n",
       "      <td>-0.366825</td>\n",
       "      <td>0.3675</td>\n",
       "      <td>-0.870</td>\n",
       "      <td>0.9375</td>\n",
       "      <td>-0.32125</td>\n",
       "      <td>0.3675</td>\n",
       "      <td>-0.870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>-102.875</td>\n",
       "      <td>-0.281825</td>\n",
       "      <td>2.1175</td>\n",
       "      <td>-0.140</td>\n",
       "      <td>2.0475</td>\n",
       "      <td>-0.24125</td>\n",
       "      <td>2.1175</td>\n",
       "      <td>-0.140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5</td>\n",
       "      <td>-72.875</td>\n",
       "      <td>-0.199625</td>\n",
       "      <td>2.1775</td>\n",
       "      <td>-0.590</td>\n",
       "      <td>2.6075</td>\n",
       "      <td>-0.16125</td>\n",
       "      <td>2.1775</td>\n",
       "      <td>-0.590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>-11.875</td>\n",
       "      <td>-0.032525</td>\n",
       "      <td>0.5275</td>\n",
       "      <td>-0.110</td>\n",
       "      <td>0.6075</td>\n",
       "      <td>-0.00125</td>\n",
       "      <td>0.5275</td>\n",
       "      <td>-0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>19.125</td>\n",
       "      <td>0.052375</td>\n",
       "      <td>-0.4025</td>\n",
       "      <td>0.890</td>\n",
       "      <td>-1.2625</td>\n",
       "      <td>0.06875</td>\n",
       "      <td>-0.4025</td>\n",
       "      <td>0.890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>756</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>-60.000</td>\n",
       "      <td>-0.164380</td>\n",
       "      <td>-2.0180</td>\n",
       "      <td>-0.358</td>\n",
       "      <td>-1.9880</td>\n",
       "      <td>-0.32800</td>\n",
       "      <td>-2.0180</td>\n",
       "      <td>-0.358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>757</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-29.000</td>\n",
       "      <td>-0.079480</td>\n",
       "      <td>-0.7180</td>\n",
       "      <td>0.232</td>\n",
       "      <td>-1.0980</td>\n",
       "      <td>-0.14800</td>\n",
       "      <td>-0.7180</td>\n",
       "      <td>0.232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>758</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>-1.000</td>\n",
       "      <td>-0.002780</td>\n",
       "      <td>-0.0480</td>\n",
       "      <td>0.122</td>\n",
       "      <td>-0.1680</td>\n",
       "      <td>0.00200</td>\n",
       "      <td>-0.0480</td>\n",
       "      <td>0.122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>759</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>30.000</td>\n",
       "      <td>0.082220</td>\n",
       "      <td>1.0520</td>\n",
       "      <td>-0.028</td>\n",
       "      <td>1.2520</td>\n",
       "      <td>0.16200</td>\n",
       "      <td>1.0520</td>\n",
       "      <td>-0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>760</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5</td>\n",
       "      <td>60.000</td>\n",
       "      <td>0.164420</td>\n",
       "      <td>1.7320</td>\n",
       "      <td>0.032</td>\n",
       "      <td>2.0020</td>\n",
       "      <td>0.31200</td>\n",
       "      <td>1.7320</td>\n",
       "      <td>0.032</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>754 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     year  month  date_index  fraction_date     c02  data_adjusted_season  \\\n",
       "2     0.0      3    -133.875      -0.366825  0.3675                -0.870   \n",
       "3     0.0      4    -102.875      -0.281825  2.1175                -0.140   \n",
       "4     0.0      5     -72.875      -0.199625  2.1775                -0.590   \n",
       "6     0.0      7     -11.875      -0.032525  0.5275                -0.110   \n",
       "7     0.0      8      19.125       0.052375 -0.4025                 0.890   \n",
       "..    ...    ...         ...            ...     ...                   ...   \n",
       "756   0.0      1     -60.000      -0.164380 -2.0180                -0.358   \n",
       "757   0.0      2     -29.000      -0.079480 -0.7180                 0.232   \n",
       "758   0.0      3      -1.000      -0.002780 -0.0480                 0.122   \n",
       "759   0.0      4      30.000       0.082220  1.0520                -0.028   \n",
       "760   0.0      5      60.000       0.164420  1.7320                 0.032   \n",
       "\n",
       "     data_fit  data_adjusted_seasonally_fit  data_filled  \\\n",
       "2      0.9375                      -0.32125       0.3675   \n",
       "3      2.0475                      -0.24125       2.1175   \n",
       "4      2.6075                      -0.16125       2.1775   \n",
       "6      0.6075                      -0.00125       0.5275   \n",
       "7     -1.2625                       0.06875      -0.4025   \n",
       "..        ...                           ...          ...   \n",
       "756   -1.9880                      -0.32800      -2.0180   \n",
       "757   -1.0980                      -0.14800      -0.7180   \n",
       "758   -0.1680                       0.00200      -0.0480   \n",
       "759    1.2520                       0.16200       1.0520   \n",
       "760    2.0020                       0.31200       1.7320   \n",
       "\n",
       "     data_adjusted_seasonally_filed  \n",
       "2                            -0.870  \n",
       "3                            -0.140  \n",
       "4                            -0.590  \n",
       "6                            -0.110  \n",
       "7                             0.890  \n",
       "..                              ...  \n",
       "756                          -0.358  \n",
       "757                           0.232  \n",
       "758                           0.122  \n",
       "759                          -0.028  \n",
       "760                           0.032  \n",
       "\n",
       "[754 rows x 10 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>c02</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>month</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.683835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.076121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.874238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.240270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2.864155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2.299297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.792919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-1.195018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-2.851367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-2.857316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-1.453272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.159303</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            c02\n",
       "month          \n",
       "1     -0.683835\n",
       "2      0.076121\n",
       "3      0.874238\n",
       "4      2.240270\n",
       "5      2.864155\n",
       "6      2.299297\n",
       "7      0.792919\n",
       "8     -1.195018\n",
       "9     -2.851367\n",
       "10    -2.857316\n",
       "11    -1.453272\n",
       "12    -0.159303"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def detrend(f):\n",
    "    detrended_xarr = f - np.mean(f, axis=0)\n",
    "    detrended_xarr['month'] = f['month']\n",
    "    return detrended_xarr\n",
    "\n",
    "dy = data.groupby('year')\n",
    "c02anomaly = dy.apply(detrend)\n",
    "display(c02anomaly)\n",
    "monthly_anomaly = c02anomaly.groupby('month').mean()[['c02']]\n",
    "monthly_anomaly"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "🤔 **It says this is not corrent. However, we can find that it is the precision error of the floating point number**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "deletable": false,
    "editable": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p><strong style='color: red;'><pre style='display: inline;'>q2</pre> results:</strong></p><p><strong><pre style='display: inline;'>q2 - 1</pre> result:</strong></p><pre>    Trying:\n",
       "        list(monthly_anomaly['c02']) == [-0.6838350970017644, 0.07612096774193428, 0.8742380952380925,\n",
       "                                         2.240269841269833, 2.8641545138888853, 2.299296594982075, \n",
       "                                         0.792918871252205, -1.1950176366843068, -2.851366843033514, \n",
       "                                         -2.8573163082437323, -1.453271604938272, -0.15930335097002282]\n",
       "    Expecting:\n",
       "        True\n",
       "    **********************************************************************\n",
       "    Line 1, in q2 0\n",
       "    Failed example:\n",
       "        list(monthly_anomaly['c02']) == [-0.6838350970017644, 0.07612096774193428, 0.8742380952380925,\n",
       "                                         2.240269841269833, 2.8641545138888853, 2.299296594982075, \n",
       "                                         0.792918871252205, -1.1950176366843068, -2.851366843033514, \n",
       "                                         -2.8573163082437323, -1.453271604938272, -0.15930335097002282]\n",
       "    Expected:\n",
       "        True\n",
       "    Got:\n",
       "        False\n",
       "</pre>"
      ],
      "text/plain": [
       "q2 results:\n",
       "    q2 - 1 result:\n",
       "        Trying:\n",
       "            list(monthly_anomaly['c02']) == [-0.6838350970017644, 0.07612096774193428, 0.8742380952380925,\n",
       "                                             2.240269841269833, 2.8641545138888853, 2.299296594982075, \n",
       "                                             0.792918871252205, -1.1950176366843068, -2.851366843033514, \n",
       "                                             -2.8573163082437323, -1.453271604938272, -0.15930335097002282]\n",
       "        Expecting:\n",
       "            True\n",
       "        **********************************************************************\n",
       "        Line 1, in q2 0\n",
       "        Failed example:\n",
       "            list(monthly_anomaly['c02']) == [-0.6838350970017644, 0.07612096774193428, 0.8742380952380925,\n",
       "                                             2.240269841269833, 2.8641545138888853, 2.299296594982075, \n",
       "                                             0.792918871252205, -1.1950176366843068, -2.851366843033514, \n",
       "                                             -2.8573163082437323, -1.453271604938272, -0.15930335097002282]\n",
       "        Expected:\n",
       "            True\n",
       "        Got:\n",
       "            False"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grader.check(\"q2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 3\n",
    "\n",
    "Next, recreate the following figure, which is much closer to the one in the lecture:\n",
    "\n",
    "<img src=\"annual-anomaly-new.png\" width=\"700px\" />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false
   },
   "source": [
    "**Hints:** \n",
    "- in order to get that smooth curve, you'll need to use `from scipy.interpolate import CubicSpline`. You can find the documentation for `CubicSpline` [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.CubicSpline.html).\n",
    "- The \"Seasonal Anomaly\" inset graph can be created with `ax.inset_axes(...)`. You can treat the `Axes` object returned like any other `Axes` object.\n",
    "- Remember that you can set the tick labels with `ax.set_xticks(...)`.\n",
    "- To get the data points plotted as red dots, when you use `ax.plot(...)`, pass in `\"r.\"` as the argument immediately following any data you pass in. The `\"r\"` indicates the color, while the `\".\"` indicates how the data will be plotted (if you don't put the `\".\"`, it will be a line instead).\n",
    "\n",
    "<!--\n",
    "BEGIN QUESTION\n",
    "name: q3\n",
    "-->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.interpolate import CubicSpline\n",
    "\n",
    "# plot\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "\n",
    "ax.plot(\"fraction_date\", \"data_filled\", \"r.\", data=data)\n",
    "ax.plot(\"fraction_date\", \"data_adjusted_seasonally_fit\", data=data)\n",
    "ax.set_xlabel(\"Year\")\n",
    "ax.set_ylabel(\"CO2 fraction in dry air (ppm)\")\n",
    "ax.set_title(\"Monthly Mean CO2\")\n",
    "ax.grid(False)\n",
    "\n",
    "axin1 = ax.inset_axes([0.1, 0.5, 0.35, 0.35])\n",
    "x, y = monthly_anomaly.index, monthly_anomaly['c02']\n",
    "cs = CubicSpline(x, y)\n",
    "xs = np.arange(1, 12, 0.1)\n",
    "axin1.plot(xs, cs(xs), 'b')\n",
    "axin1.plot(monthly_anomaly.c02, \"r.\")\n",
    "axin1.set_title(\"Seasonal Anomaly\")\n",
    "axin1.set_xticks([1,4,7,10])\n",
    "axin1.set_xticklabels(['Jan', 'Apr','Jul','Oct']);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbgrader": {
     "grade": false,
     "grade_id": "q1_text",
     "locked": true,
     "schema_version": 2,
     "solution": false
    }
   },
   "source": [
    "# Exploring Snow with ERA 5\n",
    "\n",
    "Now, we turn our attention to the global ERA 5 dataset and explore some other questions - it's a very rich and interesting dataset, and the lecture only scratched its surfac!\n",
    "\n",
    "We are going today to focus on just one more bit: we'll take a look at the snow accumulation data for the northern and southern hemispheres.\n",
    "\n",
    "But you should see this as an invitation to keep learning from these data! Think of looking at other variables in the dataset. Is there annual cycle? trend? Some of the data might look very different than the air temperature - eg. precipitation which is either 0 or +. Can you use PDFs to look at changes in distributions over a region? at a point? Or talk about the data a little & what you understand it is measuring? Are any of the data variables related to each other? Can you plot correlations between data?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "nbgrader": {
     "grade": false,
     "grade_id": "q1_code",
     "locked": false,
     "schema_version": 2,
     "solution": true
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/Caskroom/miniconda/base/envs/mixed/lib/python3.9/site-packages/xarray/backends/cfgrib_.py:27: UserWarning: Failed to load cfgrib - most likely there is a problem accessing the ecCodes library. Try `import cfgrib` to get the full error message\n",
      "  warnings.warn(\n",
      "/usr/local/Caskroom/miniconda/base/envs/mixed/lib/python3.9/site-packages/xarray/backends/plugins.py:61: RuntimeWarning: Engine 'cfgrib' loading failed:\n",
      "Cannot find the ecCodes library\n",
      "  warnings.warn(f\"Engine {name!r} loading failed:\\n{ex}\", RuntimeWarning)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (time: 504, latitude: 90, longitude: 180)\n",
       "Coordinates:\n",
       "  * time          (time) datetime64[ns] 1979-01-16T11:30:00 ... 2020-12-16T11...\n",
       "  * latitude      (latitude) float32 -88.88 -86.88 -84.88 ... 85.12 87.12 89.12\n",
       "  * longitude     (longitude) float32 0.875 2.875 4.875 ... 354.9 356.9 358.9\n",
       "Data variables:\n",
       "    snow_density  (time, latitude, longitude) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-59d6cb5a-22f8-4974-96f3-b6c21c52890e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59d6cb5a-22f8-4974-96f3-b6c21c52890e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 504</li><li><span class='xr-has-index'>latitude</span>: 90</li><li><span class='xr-has-index'>longitude</span>: 180</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d4b59bc5-a13c-4f42-bf3e-5a5d8b364753' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d4b59bc5-a13c-4f42-bf3e-5a5d8b364753' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-16T11:30:00 ... 2020-12-...</div><input id='attrs-554a37c5-1784-4d51-87b1-f74256e189f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-554a37c5-1784-4d51-87b1-f74256e189f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6df447dd-0bbb-4927-8ae8-3bc4d811139b' class='xr-var-data-in' type='checkbox'><label for='data-6df447dd-0bbb-4927-8ae8-3bc4d811139b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-16T11:30:00.000000000&#x27;, &#x27;1979-02-14T23:30:00.000000000&#x27;,\n",
       "       &#x27;1979-03-16T11:30:00.000000000&#x27;, ..., &#x27;2020-10-16T11:30:00.000000000&#x27;,\n",
       "       &#x27;2020-11-15T23:30:00.000000000&#x27;, &#x27;2020-12-16T11:30:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-88.88 -86.88 ... 87.12 89.12</div><input id='attrs-d20c270d-2460-4b18-a6d0-2ddd1f1073ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d20c270d-2460-4b18-a6d0-2ddd1f1073ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f97a718-f598-4883-a637-80caa418ab30' class='xr-var-data-in' type='checkbox'><label for='data-9f97a718-f598-4883-a637-80caa418ab30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-88.875, -86.875, -84.875, -82.875, -80.875, -78.875, -76.875, -74.875,\n",
       "       -72.875, -70.875, -68.875, -66.875, -64.875, -62.875, -60.875, -58.875,\n",
       "       -56.875, -54.875, -52.875, -50.875, -48.875, -46.875, -44.875, -42.875,\n",
       "       -40.875, -38.875, -36.875, -34.875, -32.875, -30.875, -28.875, -26.875,\n",
       "       -24.875, -22.875, -20.875, -18.875, -16.875, -14.875, -12.875, -10.875,\n",
       "        -8.875,  -6.875,  -4.875,  -2.875,  -0.875,   1.125,   3.125,   5.125,\n",
       "         7.125,   9.125,  11.125,  13.125,  15.125,  17.125,  19.125,  21.125,\n",
       "        23.125,  25.125,  27.125,  29.125,  31.125,  33.125,  35.125,  37.125,\n",
       "        39.125,  41.125,  43.125,  45.125,  47.125,  49.125,  51.125,  53.125,\n",
       "        55.125,  57.125,  59.125,  61.125,  63.125,  65.125,  67.125,  69.125,\n",
       "        71.125,  73.125,  75.125,  77.125,  79.125,  81.125,  83.125,  85.125,\n",
       "        87.125,  89.125], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.875 2.875 4.875 ... 356.9 358.9</div><input id='attrs-5a9db319-2be7-4eb1-bf66-11c8c344f03b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a9db319-2be7-4eb1-bf66-11c8c344f03b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52cd2d66-0f8a-4fe8-afb6-de260d14a536' class='xr-var-data-in' type='checkbox'><label for='data-52cd2d66-0f8a-4fe8-afb6-de260d14a536' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([  0.875,   2.875,   4.875,   6.875,   8.875,  10.875,  12.875,  14.875,\n",
       "        16.875,  18.875,  20.875,  22.875,  24.875,  26.875,  28.875,  30.875,\n",
       "        32.875,  34.875,  36.875,  38.875,  40.875,  42.875,  44.875,  46.875,\n",
       "        48.875,  50.875,  52.875,  54.875,  56.875,  58.875,  60.875,  62.875,\n",
       "        64.875,  66.875,  68.875,  70.875,  72.875,  74.875,  76.875,  78.875,\n",
       "        80.875,  82.875,  84.875,  86.875,  88.875,  90.875,  92.875,  94.875,\n",
       "        96.875,  98.875, 100.875, 102.875, 104.875, 106.875, 108.875, 110.875,\n",
       "       112.875, 114.875, 116.875, 118.875, 120.875, 122.875, 124.875, 126.875,\n",
       "       128.875, 130.875, 132.875, 134.875, 136.875, 138.875, 140.875, 142.875,\n",
       "       144.875, 146.875, 148.875, 150.875, 152.875, 154.875, 156.875, 158.875,\n",
       "       160.875, 162.875, 164.875, 166.875, 168.875, 170.875, 172.875, 174.875,\n",
       "       176.875, 178.875, 180.875, 182.875, 184.875, 186.875, 188.875, 190.875,\n",
       "       192.875, 194.875, 196.875, 198.875, 200.875, 202.875, 204.875, 206.875,\n",
       "       208.875, 210.875, 212.875, 214.875, 216.875, 218.875, 220.875, 222.875,\n",
       "       224.875, 226.875, 228.875, 230.875, 232.875, 234.875, 236.875, 238.875,\n",
       "       240.875, 242.875, 244.875, 246.875, 248.875, 250.875, 252.875, 254.875,\n",
       "       256.875, 258.875, 260.875, 262.875, 264.875, 266.875, 268.875, 270.875,\n",
       "       272.875, 274.875, 276.875, 278.875, 280.875, 282.875, 284.875, 286.875,\n",
       "       288.875, 290.875, 292.875, 294.875, 296.875, 298.875, 300.875, 302.875,\n",
       "       304.875, 306.875, 308.875, 310.875, 312.875, 314.875, 316.875, 318.875,\n",
       "       320.875, 322.875, 324.875, 326.875, 328.875, 330.875, 332.875, 334.875,\n",
       "       336.875, 338.875, 340.875, 342.875, 344.875, 346.875, 348.875, 350.875,\n",
       "       352.875, 354.875, 356.875, 358.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-65e7363e-192e-42e9-9053-824d06a26b4a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-65e7363e-192e-42e9-9053-824d06a26b4a' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>snow_density</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0cd363ba-c1e4-41c3-846d-1eecbb17e01a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cd363ba-c1e4-41c3-846d-1eecbb17e01a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-686a1194-ddc1-48f9-be9e-976dccb0b7f6' class='xr-var-data-in' type='checkbox'><label for='data-686a1194-ddc1-48f9-be9e-976dccb0b7f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Snow density</dd><dt><span>nameCDM :</span></dt><dd>Snow_density_surface</dd><dt><span>nameECMWF :</span></dt><dd>Snow density</dd><dt><span>product_type :</span></dt><dd>analysis</dd><dt><span>shortNameECMWF :</span></dt><dd>rsn</dd><dt><span>standard_name :</span></dt><dd>snow_density</dd><dt><span>units :</span></dt><dd>kg m**-3</dd></dl></div><div class='xr-var-data'><pre>[8164800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e7b908b-9f69-4ca6-b1ae-cfd22ddc077d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8e7b908b-9f69-4ca6-b1ae-cfd22ddc077d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (time: 504, latitude: 90, longitude: 180)\n",
       "Coordinates:\n",
       "  * time          (time) datetime64[ns] 1979-01-16T11:30:00 ... 2020-12-16T11...\n",
       "  * latitude      (latitude) float32 -88.88 -86.88 -84.88 ... 85.12 87.12 89.12\n",
       "  * longitude     (longitude) float32 0.875 2.875 4.875 ... 354.9 356.9 358.9\n",
       "Data variables:\n",
       "    snow_density  (time, latitude, longitude) float32 ..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import xarray as xr\n",
    "\n",
    "monthly_2deg_path = DATA_DIR / \"era5_snow_monthly_2deg_aws_v20210920.nc\"\n",
    "\n",
    "# The Berkeely hub has a version with not only snow data but many more variables.\n",
    "# You can explore the full dataset by uncommenting the following  if you are on the\n",
    "# campus hub. Do NOT do that for your lab submission, as that data is NOT available\n",
    "# on Gradescope.\n",
    "# monthly_2deg_path = DATA_DIR / \"era5_monthly_2deg_aws_v20210920.nc\"\n",
    "\n",
    "ds = xr.open_dataset(monthly_2deg_path)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mean_map = ds.mean(\"time\")  # takes the mean across all variables in ds\n",
    "mean_map.snow_density.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;snow_density&#x27; (time: 504, latitude: 90, longitude: 180)&gt;\n",
       "array([[[300., 300., ..., 300., 300.],\n",
       "        [300., 300., ..., 300., 300.],\n",
       "        ...,\n",
       "        [100., 100., ..., 100., 100.],\n",
       "        [100., 100., ..., 100., 100.]],\n",
       "\n",
       "       [[300., 300., ..., 300., 300.],\n",
       "        [300., 300., ..., 300., 300.],\n",
       "        ...,\n",
       "        [100., 100., ..., 100., 100.],\n",
       "        [100., 100., ..., 100., 100.]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[300., 300., ..., 300., 300.],\n",
       "        [300., 300., ..., 300., 300.],\n",
       "        ...,\n",
       "        [100., 100., ..., 100., 100.],\n",
       "        [100., 100., ..., 100., 100.]],\n",
       "\n",
       "       [[300., 300., ..., 300., 300.],\n",
       "        [300., 300., ..., 300., 300.],\n",
       "        ...,\n",
       "        [100., 100., ..., 100., 100.],\n",
       "        [100., 100., ..., 100., 100.]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1979-01-16T11:30:00 ... 2020-12-16T11:30:00\n",
       "  * latitude   (latitude) float32 -88.88 -86.88 -84.88 ... 85.12 87.12 89.12\n",
       "  * longitude  (longitude) float32 0.875 2.875 4.875 6.875 ... 354.9 356.9 358.9\n",
       "Attributes:\n",
       "    long_name:       Snow density\n",
       "    nameCDM:         Snow_density_surface\n",
       "    nameECMWF:       Snow density\n",
       "    product_type:    analysis\n",
       "    shortNameECMWF:  rsn\n",
       "    standard_name:   snow_density\n",
       "    units:           kg m**-3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'snow_density'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 504</li><li><span class='xr-has-index'>latitude</span>: 90</li><li><span class='xr-has-index'>longitude</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fa1e0e0b-bc76-4b9d-9042-dbfc5137ac57' class='xr-array-in' type='checkbox' checked><label for='section-fa1e0e0b-bc76-4b9d-9042-dbfc5137ac57' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>300.0 300.0 300.0 300.0 300.0 300.0 ... 100.0 100.0 100.0 100.0 100.0</span></div><div class='xr-array-data'><pre>array([[[300., 300., ..., 300., 300.],\n",
       "        [300., 300., ..., 300., 300.],\n",
       "        ...,\n",
       "        [100., 100., ..., 100., 100.],\n",
       "        [100., 100., ..., 100., 100.]],\n",
       "\n",
       "       [[300., 300., ..., 300., 300.],\n",
       "        [300., 300., ..., 300., 300.],\n",
       "        ...,\n",
       "        [100., 100., ..., 100., 100.],\n",
       "        [100., 100., ..., 100., 100.]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[300., 300., ..., 300., 300.],\n",
       "        [300., 300., ..., 300., 300.],\n",
       "        ...,\n",
       "        [100., 100., ..., 100., 100.],\n",
       "        [100., 100., ..., 100., 100.]],\n",
       "\n",
       "       [[300., 300., ..., 300., 300.],\n",
       "        [300., 300., ..., 300., 300.],\n",
       "        ...,\n",
       "        [100., 100., ..., 100., 100.],\n",
       "        [100., 100., ..., 100., 100.]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-dff2d85d-7c1c-4c6c-8fc8-0628b3bf2a00' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dff2d85d-7c1c-4c6c-8fc8-0628b3bf2a00' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-16T11:30:00 ... 2020-12-...</div><input id='attrs-39313279-9808-4232-b9f0-1104b5f293df' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39313279-9808-4232-b9f0-1104b5f293df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e04b6c2b-7d1b-4c27-a718-97bbd34ec1d5' class='xr-var-data-in' type='checkbox'><label for='data-e04b6c2b-7d1b-4c27-a718-97bbd34ec1d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-16T11:30:00.000000000&#x27;, &#x27;1979-02-14T23:30:00.000000000&#x27;,\n",
       "       &#x27;1979-03-16T11:30:00.000000000&#x27;, ..., &#x27;2020-10-16T11:30:00.000000000&#x27;,\n",
       "       &#x27;2020-11-15T23:30:00.000000000&#x27;, &#x27;2020-12-16T11:30:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-88.88 -86.88 ... 87.12 89.12</div><input id='attrs-8acc1188-9cbf-4955-8092-d9acb4b15144' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8acc1188-9cbf-4955-8092-d9acb4b15144' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-678e9898-93ff-4c6c-a969-61d72bf978fa' class='xr-var-data-in' type='checkbox'><label for='data-678e9898-93ff-4c6c-a969-61d72bf978fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-88.875, -86.875, -84.875, -82.875, -80.875, -78.875, -76.875, -74.875,\n",
       "       -72.875, -70.875, -68.875, -66.875, -64.875, -62.875, -60.875, -58.875,\n",
       "       -56.875, -54.875, -52.875, -50.875, -48.875, -46.875, -44.875, -42.875,\n",
       "       -40.875, -38.875, -36.875, -34.875, -32.875, -30.875, -28.875, -26.875,\n",
       "       -24.875, -22.875, -20.875, -18.875, -16.875, -14.875, -12.875, -10.875,\n",
       "        -8.875,  -6.875,  -4.875,  -2.875,  -0.875,   1.125,   3.125,   5.125,\n",
       "         7.125,   9.125,  11.125,  13.125,  15.125,  17.125,  19.125,  21.125,\n",
       "        23.125,  25.125,  27.125,  29.125,  31.125,  33.125,  35.125,  37.125,\n",
       "        39.125,  41.125,  43.125,  45.125,  47.125,  49.125,  51.125,  53.125,\n",
       "        55.125,  57.125,  59.125,  61.125,  63.125,  65.125,  67.125,  69.125,\n",
       "        71.125,  73.125,  75.125,  77.125,  79.125,  81.125,  83.125,  85.125,\n",
       "        87.125,  89.125], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.875 2.875 4.875 ... 356.9 358.9</div><input id='attrs-1239fff7-1f60-4217-9a8c-67b42268fab8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1239fff7-1f60-4217-9a8c-67b42268fab8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-276e4189-7736-46f5-8f80-6bdca9c56c24' class='xr-var-data-in' type='checkbox'><label for='data-276e4189-7736-46f5-8f80-6bdca9c56c24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([  0.875,   2.875,   4.875,   6.875,   8.875,  10.875,  12.875,  14.875,\n",
       "        16.875,  18.875,  20.875,  22.875,  24.875,  26.875,  28.875,  30.875,\n",
       "        32.875,  34.875,  36.875,  38.875,  40.875,  42.875,  44.875,  46.875,\n",
       "        48.875,  50.875,  52.875,  54.875,  56.875,  58.875,  60.875,  62.875,\n",
       "        64.875,  66.875,  68.875,  70.875,  72.875,  74.875,  76.875,  78.875,\n",
       "        80.875,  82.875,  84.875,  86.875,  88.875,  90.875,  92.875,  94.875,\n",
       "        96.875,  98.875, 100.875, 102.875, 104.875, 106.875, 108.875, 110.875,\n",
       "       112.875, 114.875, 116.875, 118.875, 120.875, 122.875, 124.875, 126.875,\n",
       "       128.875, 130.875, 132.875, 134.875, 136.875, 138.875, 140.875, 142.875,\n",
       "       144.875, 146.875, 148.875, 150.875, 152.875, 154.875, 156.875, 158.875,\n",
       "       160.875, 162.875, 164.875, 166.875, 168.875, 170.875, 172.875, 174.875,\n",
       "       176.875, 178.875, 180.875, 182.875, 184.875, 186.875, 188.875, 190.875,\n",
       "       192.875, 194.875, 196.875, 198.875, 200.875, 202.875, 204.875, 206.875,\n",
       "       208.875, 210.875, 212.875, 214.875, 216.875, 218.875, 220.875, 222.875,\n",
       "       224.875, 226.875, 228.875, 230.875, 232.875, 234.875, 236.875, 238.875,\n",
       "       240.875, 242.875, 244.875, 246.875, 248.875, 250.875, 252.875, 254.875,\n",
       "       256.875, 258.875, 260.875, 262.875, 264.875, 266.875, 268.875, 270.875,\n",
       "       272.875, 274.875, 276.875, 278.875, 280.875, 282.875, 284.875, 286.875,\n",
       "       288.875, 290.875, 292.875, 294.875, 296.875, 298.875, 300.875, 302.875,\n",
       "       304.875, 306.875, 308.875, 310.875, 312.875, 314.875, 316.875, 318.875,\n",
       "       320.875, 322.875, 324.875, 326.875, 328.875, 330.875, 332.875, 334.875,\n",
       "       336.875, 338.875, 340.875, 342.875, 344.875, 346.875, 348.875, 350.875,\n",
       "       352.875, 354.875, 356.875, 358.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ed068a2-d97f-444b-8fc7-b5032e361d19' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ed068a2-d97f-444b-8fc7-b5032e361d19' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Snow density</dd><dt><span>nameCDM :</span></dt><dd>Snow_density_surface</dd><dt><span>nameECMWF :</span></dt><dd>Snow density</dd><dt><span>product_type :</span></dt><dd>analysis</dd><dt><span>shortNameECMWF :</span></dt><dd>rsn</dd><dt><span>standard_name :</span></dt><dd>snow_density</dd><dt><span>units :</span></dt><dd>kg m**-3</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'snow_density' (time: 504, latitude: 90, longitude: 180)>\n",
       "array([[[300., 300., ..., 300., 300.],\n",
       "        [300., 300., ..., 300., 300.],\n",
       "        ...,\n",
       "        [100., 100., ..., 100., 100.],\n",
       "        [100., 100., ..., 100., 100.]],\n",
       "\n",
       "       [[300., 300., ..., 300., 300.],\n",
       "        [300., 300., ..., 300., 300.],\n",
       "        ...,\n",
       "        [100., 100., ..., 100., 100.],\n",
       "        [100., 100., ..., 100., 100.]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[300., 300., ..., 300., 300.],\n",
       "        [300., 300., ..., 300., 300.],\n",
       "        ...,\n",
       "        [100., 100., ..., 100., 100.],\n",
       "        [100., 100., ..., 100., 100.]],\n",
       "\n",
       "       [[300., 300., ..., 300., 300.],\n",
       "        [300., 300., ..., 300., 300.],\n",
       "        ...,\n",
       "        [100., 100., ..., 100., 100.],\n",
       "        [100., 100., ..., 100., 100.]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1979-01-16T11:30:00 ... 2020-12-16T11:30:00\n",
       "  * latitude   (latitude) float32 -88.88 -86.88 -84.88 ... 85.12 87.12 89.12\n",
       "  * longitude  (longitude) float32 0.875 2.875 4.875 6.875 ... 354.9 356.9 358.9\n",
       "Attributes:\n",
       "    long_name:       Snow density\n",
       "    nameCDM:         Snow_density_surface\n",
       "    nameECMWF:       Snow density\n",
       "    product_type:    analysis\n",
       "    shortNameECMWF:  rsn\n",
       "    standard_name:   snow_density\n",
       "    units:           kg m**-3"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "snow = ds.snow_density\n",
    "snow"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false
   },
   "source": [
    "### Question 4\n",
    "\n",
    "Let's look at the snow across the globe in February and August, which are roughly the peaks of the summer/winter seasons.\n",
    "\n",
    "Recreate the following figure, along with a corresponding one for August 1980:\n",
    "\n",
    "<img src=\"snow-distribution-1980-02.png\" width=\"500px\" />\n",
    "\n",
    "<!--\n",
    "BEGIN QUESTION\n",
    "name: q4\n",
    "-->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "snow.sel(time='1980-02-15T11:30:00').plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false
   },
   "source": [
    "### Question 5\n",
    "\n",
    "Let's now find the peaks in the northern and southern hemispheres.\n",
    "\n",
    "<!--\n",
    "BEGIN QUESTION\n",
    "name: q5\n",
    "-->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<xarray.DataArray 'latitude' ()>\n",
       " array(-88.875, dtype=float32)\n",
       " Coordinates:\n",
       "     latitude  float32 -88.88\n",
       " Attributes:\n",
       "     long_name:      latitude\n",
       "     standard_name:  latitude\n",
       "     units:          degrees_north,\n",
       " <xarray.DataArray 'latitude' ()>\n",
       " array(89.125, dtype=float32)\n",
       " Coordinates:\n",
       "     latitude  float32 89.12\n",
       " Attributes:\n",
       "     long_name:      latitude\n",
       "     standard_name:  latitude\n",
       "     units:          degrees_north)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(snow.latitude), max(snow.latitude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t_snow_north = snow.sel(latitude=slice(0, 90)).mean(['latitude', 'longitude'])\n",
    "t_snow_north.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t_snow_south = snow.sel(latitude=slice(-90, 0)).mean(['latitude', 'longitude'])\n",
    "t_snow_south.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false,
    "tags": []
   },
   "source": [
    "### Question 6\n",
    "\n",
    "Let's look for example at what the cycle in the northern hemisphere looks like for the year 1979. You need to replicate this figure:\n",
    "\n",
    "<img src=\"snow-cycle-1979.png\" width=\"500px\" />\n",
    "\n",
    "<!--\n",
    "BEGIN QUESTION\n",
    "name: q6\n",
    "-->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fbd0be3aac0>]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAf4AAAGPCAYAAAC9EbJBAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAABZ20lEQVR4nO3dd1zU9R8H8NfdsWVPRRAFlaEyBFTAnWXmyoVmuS1HZsMsy4aV7WxpVpYjR+bWcpYjsxBlKC5ElgKKTNnjgPv+/jDvF0l6cAffG6/n4+Ej+XJ3vu/d3b3u+/l+Pt+vRBAEAURERGQQpGIXQERERC2HwU9ERGRAGPxEREQGhMFPRERkQBj8REREBsRI7AJaQlxcnNglEBERtbjg4OC7thlE8AO3n3xiYiJ8fX3FLkUrsTeqYZ9Ux16pjr1SDfukmjt9+q+dXg71ExERGRAGPxERkQFh8BMRERkQBj8REZEBYfATEREZEAY/ERGRAWHwExERGRAGPxERkQFh8BMRERkQBj8REZEBYfATEREZEAY/ERGRAWHwk967cL0Y+85li10GEZFWMJir85FhSs8vx8TvolFSVYsKuT/GhbiLXRIRkai4x096q6SqBjN/iIFMKkGP9vZ4Zed5RKXki10WEZGoGPykl+oUAuZvPoNrBRVY+Xgwvp8aAk+nVpi1MQ7JOaVil0dEJBoGP+mljw5exu9JeVgyogvCvBxgbWaMNVNDYWYsw7R1McgrrRa7RCIiUTD4Se/sjM/Ct3+kYVIvDzzRy0O53c3OAqunhKCgTI6ZP8SgUl4nYpVEROJg8JNeOZNxC4t2nkeYpwPeGO531+/93WzxxYRAnLtejGd/OoM6hSBClURE4mHwk964WVyFWRvi4GJtipWPd4exrOGX90NdWuP1oX749VIO3tuf2MJVEhGJi8v5SC9U1dThqQ2xKK+uxYYZEbBrZXLP20/v3QEZhRVY/Wc6PBwsMDmsfcsUSkQkMgY/6TxBEPDyjnM4f70YqyaFwLu1lUr3e32YH7JuVWDJzxfR1tYcD/i6NHOlRETi41A/6byvj6diz9kbePEhbzzop3p4y6QSfPlYELq42uCZzWdw4XpxM1ZJRKQdtCb45XI5hg0bhqioKOW2Y8eOYfjw4fD398fIkSNx/PjxeveJjo7G8OHDERAQgEmTJuHatWstXTaJ7PClHHx8KAnDA1wxt79Xo+9vYWKE1VNCYGdhgunrYnCjqLIZqiQi0h5aEfzV1dV44YUXkJycrNyWkpKC+fPnY/z48di3bx9GjBiBp59+GpmZmQCA7OxszJkzByNGjMCOHTvg6OiIuXPnQqFQiPU0qIVdySnFsz+dQVdXG3w0xh8SiaRJj+NsbYY1U0NRKa/D9HUxKK2q0XClRETaQ/TgT0lJQWRkJDIyMuptz87OxhNPPIEnnngC7u7umDFjBiwsLHD27FkAwNatW+Hj44Mnn3wSHTt2xHvvvYfs7GxER0eL8Cyopd0ql2PmD7GwMDXCqsnBMDeRqfV43q2tsPKJ7kjJLcPTP55BTR2/QBKRfhI9+GNjYxEREYEtW7bU296nTx+8/PLLAICamhps27YNcrkcgYGBAICEhASEhoYqb29ubo4uXbrgzJkzLVY7iaOmToG5m+Jxs7gK304KRhsbc408bp9OTnh3VFf8cSUPb+y5CEHgGn8i0j+iz+qfMGHCPX+fmpqK4cOHo66uDgsWLIC7++2rq+Xl5cHZ2bnebR0cHJCTk9NstZJ2WLr3Ek6mFWDZuAB0b2en0cceH9ru9vn9f0+Fh4MFZvdr/LwBIiJtJnrw34+TkxO2b9+O+Ph4fPDBB/Dw8MDgwYNRWVkJE5P6a7VNTEwgl8sbfJzExERUVVUhMZEnbGmIrvRm/5US/HAyH2O62MDPorRZah7aTsCF9q3wwYHLkFQUom97S+XvdKVP2oC9Uh17pRr2STX365PWB7+1tTX8/Pzg5+eHK1euYOPGjRg8eDBMTU3vCnm5XA5bW9sGH8fX1xeJiYnw9fVtgap1jy705lRaAb4+lY5+nZ3w0eOhkEmbNplPFas6eeOJ709h2V/5CPHzQrCHPQDd6JO2YK9Ux16phn1SzZ0+xcXFNfh70Y/x/5fLly8jPj6+3raOHTvi1q1bAAAXFxfk5eXV+31+fj6cnJxarEZqOZmFFZizKR7tHCzw5WNBzRr6AGBmLMOqySFwtTHDk+vjcK2gvFn/PSKilqK1wX/gwAEsWbKk3raLFy/C09MTABAQEFDvi0FlZSUuXbqknPxH+qO8uhZPro9FbZ0C308OgY25cYv8u/atTLB2Wg8IgoBpa2Nwq7zhw0hERLpEa4N/7NixyMjIwGeffYarV69i/fr12LdvH2bNmgUAGDNmDBISEvD1118jJSUFixcvhqurK8LCwkSunDRJoRDwwtazuJJTihUTu8PTyfL+d9KgDo6tsGpyCLJuVWLWhjjI6zjTn4h0m9YGv7u7O77//nv8+eefGDFiBLZs2YIvv/wSXbp0AQC4ublh+fLl2LNnD8aMGYP8/HysXLkSUqnWPiVqgs+PJOPQxRwsHuqHvp3FOYwT2t4en0QG4PTVQnz2Vx6X+RGRTtOqyX1JSUn1fg4JCcGOHTv+8/b9+vVDv379mrssEsm+c9n48kgyIkPcMD2ivai1jAhwRWZhBT4+lITPfruCFx7yFrUeIqKm4u4xaaUL14uxYNtZBHvY4Z1Huzb5dLyaNLe/FwZ3ssKXR1OwLTZT7HKIiJpEq/b4iQAgr7QaT62Phb2FCb55IhimRuqdjldTJBIJ5vVyRLlgild2noerrTkiOjqKXRYRUaNwj5+0SnVtHWZvjENhhRyrJofAycpU7JLqMZJKsPKJ7vB0aoXZG+OQnFMqdklERI3C4CetIQgCXtt1AXHXbmHZuEB0bWsjdkkNsjYzxpqpoTAzlmHq2hjkllaJXRIRkcoY/KQ11v51FdvisjD/gU4Y6t9G7HLuyc3OAqunhKCwXI4nf4hFpbxO7JKIiFTC4Cet8MeVPCzddwmDu7jguQc6iV2OSvzdbPHlY0E4d70Yz/50BnUKLvMjIu3H4CfRpeWVYd6P8ejsYoVPIwMhbebT8WrSg34ueGOYH369lIP39vPiIUSk/Tirn0RVUlWDmetjYSST4rvJIWhlqnsvyWkRHXCtoAKr/0yHh4MFJoe1F7skIqL/pHufsqQ36hQCnvnxDDIKKrBpZk+421uIXVKTvT7MD1m3KrHk54toa2uOB3xdxC6JiKhBHOon0Xx48DKOX8nD2yO7oqeng9jlqEUmleDLxwLRxdUGz2w+gwvXi8UuiYioQQx+EsWOuCys+iMNU8I8MLFnO7HL0QgLEyOsnhICOwsTTF8XgxtFlWKXRER0FwY/tbj4jFt4Zed5hHs54LVhfmKXo1HO1mZYMzUUlfI6TF8Xg9KqGrFLIiKqh8FPLSq7+PblbdvYmuGrid1hLNO/l6B3ayusfKI7UnLLMHdTPGrqFGKXRESkpH+fuqS1qmrq8NT6OFTK6/Dd5BDYtTIRu6Rm06eTE94d1RUnkvPxxp4LvJQvEWkNzuqnFiEIAhZuP4cLN4rx3aQQdHaxErukZjc+tB0yCivw1bFUtLNvhTn9vcQuiYiIwU8tY+Xvqfgl4QZeetgbg/wMZ6nbgge9kVFYiQ8PXoa7vTmG+buKXRIRGTgGPzW73y7l4JNfkzAy0BVz+hnWXq9UKsHHY/2RXVSJF7YmoI2NGYI97MUui4gMGI/xU7NKulmK5346A/+2NvhwjD8kEt05Ha+mmBnLsGpyCFxtzPDk+jhcKygXuyQiMmAMfmo2t8rlmLk+Bq1MjfDtpBCYGcvELkk09q1MsHZaDwiCgGlrY3CrXC52SURkoBj81Cxq6hSYuykeOSXV+HZSMFrbmIldkug6OLbCqskhyLp1e0ljdS0v5UtELY/BT83i7V8u4WRaAT4c0w1B7ezELkdrhLa3xyeRATh9tRCv7rwgdjlEZIAY/KRxG6OvYUP0Nczq54lRQW5il6N1RgS4YkbvDtgRn8UhfyJqcQx+0qjotAIs+fkiBng74aXBPmKXo7WGdG0NADiVXiByJURkaBj8pDHFlTV47qezaOdggS8eC4JMangz+FXl72YLCxMZolIZ/ETUsriOnzTm3X2XkFdWjV2Tw2FtZix2OVrNxEiKkPb2OMngJ6IWxj1+0ojfk3KxNTYLs/p6wt/NVuxydEK4lwOSc8uQW1oldilEZEAY/KS2kqoavLLzPDo5W+LZQZ3ELkdnhHs5AAD3+omoRTH4SW3v7UtETkkVPh4XAFMjwz1JT2N1cbWBlZkRotMY/ETUchj8pJY/ruThp5hMPNXXC4HutmKXo1NkUgl6dnDgBD8ialEMfmqy0r+H+L2cWuE5DvE3SZiXA64VVOB6UaXYpRCRgWDwU5O9f+Aysosr8fG4AIM+D786eJyfiFoag5+a5M/kfPx4KgMz+3iiO0/J22TeLlawb2WCqNR8sUshIgPB4KdGK6uuxcs7zsHTsRVeeLCz2OXoNKlUgl6e9ohOLYAgCGKXQ0QGgMFPjfbBgUTcKK7Ex+P8OcSvAWFejrhRXIVrBRVil0JEBoDBT40SlZKPjdEZmBHRAcEe9mKXoxeUx/m5rI+IWgCDn1RWXl2Ll3acQwfHVljwkLfY5egNT8dWcLYy5bI+ImoRDH5S2YcHL+N6USU+GusPcxMO8WuKRCJBuJcDTvI4PxG1AAY/qeRkagHWn7yGaeEdENqeQ/yaFublgPyyaqTkloldChHpOQY/3VeFvBYv7UiAh4MFFg7mEH9zCPdyBAAO9xNRs2Pw0319dDAJWbcq8fHYAA7xNxN3ewu42ZlzPT8RNTsGP91TdFoB1kVdxZSw9ujRgUP8zSnM0wHRaYVQKHicn4iaD4Of/lOF/PaJetrZW+ClhznE39zCOzqguLIGl7JLxC6FiPQYg5/+08eHknCtoAIfjfWHhYmR2OXovTDP28f5eZleImpODH5q0On0wr+H+D3Qy9NB7HIMQmsbM3g6tuIEPyJqVgx+ukulvA4vbU+Am505XnrYR+xyDEqYlwNOpxeitk4hdilEpKcY/HSXT35NwtWCCnw4xh+tTDnE35LCvBxQVl2L89eLxS6FiPQUg5/qibtWiDV/pWNSLw/l2nJqOXcOq3C4n4iaC4OflKpq6rBw2zm42phj0RAO8YvB0dIU3i5WnOBHRM1Ga4JfLpdj2LBhiIqKUm47efIkxowZg6CgIAwePBjbtm2rd5/BgwfD29u73p/ExMSWLl1vfPrbFaTll+OjsRziF1OYlwNirhaiurZO7FKISA9pxad7dXU1FixYgOTkZOW2q1evYtasWZg7dy6GDBmChIQELF68GA4ODhg4cCDkcjkyMzOxefNmuLu7K+9nZ2cnxlPQeYm5Vfj+xA1M7NkOER05xC+mcC8HrIu6irMZRejJFRVEpGGiB39KSgoWLFhw11XJ9u/fD19fX8yePRsA4OHhgZiYGPzyyy8YOHAg0tLSIJFI0K1bNxgbG4tRut6oqqnDp3/loY2NOV7hEL/oenZwgEQCnEwrYPATkcaJPtQfGxuLiIgIbNmypd72IUOG4PXXX6+3TSKRoLq6GgCQmpoKNzc3hr4GfHb4CrJKavDBmG6wMmM/xWZjYYyurjac4EdEzUL0Pf4JEyY0uL1Dhw71fs7Pz8e+ffswb948ALdHCmQyGWbOnInExER06NABCxcuREBAQIOPl5iYiKqqKs4B+JfLeVX47o8beNDTAo61+UhM5EVi7qWlXkPetsDuxEKcOX8RZkaifz9vEr7fVMdeqYZ9Us39+iR68KuioqIC8+bNg7Ozs/KLQmpqKkpKSvDiiy/CxcUFW7duxZQpU7B37164ubnd9Ri+vr5ITEyEr69vS5evtapq6vDMgT/R2toMs3o6szcqaKnX0FBpLrZfjEG5mQuCOunmnAu+31THXqmGfVLNnT7FxcU1+Hut35UoLS3FzJkzkZWVhW+//Rbm5uYAgGXLluHgwYMYOHAgunTpgiVLlsDd3R27d+8Wt2Ad8sWRZKTkluH9Mf5oZaL1LwWDEtreHkZSCS/TS0Qap9Wf9oWFhZg8eTIyMzOxfv16tGvXTvk7Y2NjWFpaKn+WSCTw9PREbm6uGKXqnITMInx7PBXjQ9zRr7OT2OXQv1iaGsHfzQYnuZ6fiDRMa4NfLpdj9uzZuHXrFjZt2gRPT896vx87dixWrVql/FmhUCApKemu29Hdqmvr8OK2BLhYm2HxMA6baatwL0ecyypGWXWt2KUQkR7R2uBft24dLl68iPfffx/m5ubIy8tDXl4eioqKAAD9+/fH6tWrcfz4caSlpWHJkiUoLi7GmDFjxC1cB3x5JBnJuWV4b3Q3WHMWv9YK93JAnUJATHqh2KUQkR7R2sl9Bw8eRG1tLaZOnVpve/fu3bF582bMmTMHCoUCb775JgoLCxEQEIB169bByspKnIJ1xLmsInxzPA3jgt0wwNtZ7HLoHrp72MFEJkVUaj4G+PD/FRFphlYFf1JSkvLvO3fuvOdtZTIZ5s+fj/nz5zd3WXqjuvb2ufgdLU3w2jA/scuh+zAzlqG7hy3X8xORRmntUD9p3oqjKUjKKcX7o7vBxpxD/LogzNMRl7JLUFQhF7sUItITDH4DceF6MVb+noox3d0w0MdF7HJIReEdHSAIQHQaj/MTkWYw+A2AvFaBF7clwKGVCd7gEL9OCXCzhbmxjJfpJSKN0apj/NQ8vjqWgss3S/H95BDYWHCIX5eYGEkR0t6OJ/IhIo3hHr+eu3ijGF8dS8GooLYY5Mchfl0U7uWIKzllyCutFrsUItIDDH49VlOnwIvbzsHWwgRvDucQv64K87p9aV4O9xORJjD49djKY6lIzC7Be6O6wtbCROxyqIm6ulrDytSIy/qISCMY/Hrq0o0SLD+ajJGBrnioS2uxyyE1GMmk6Olpj5M8zk9EGsDg10M1dQos3J4AWwtjLBneRexySAN6eTrgakEFbhRVil0KEek4Br8e+ub3VFy8UYKlj3aDXSsO8euDcC9HAMBJDvcTkZoY/Hrm8s0SfHk0GcMDXPFwVw7x6wuf1lawszDmZXqJSG0Mfj1yexZ/AqzNjPHWCA7x6xOpVIJeng44mVoAQRDELoeIdBiDX4+s+iMNF66XYOmjXWHPIX69E+7lgOtFlcgorBC7FCLSYQx+PZF0sxSfH76Cof5tMKRbG7HLoWZwZz0/j/MTkToY/Hqg9u9Z/FZmxnibQ/x6y8vJEk5WplzPT0RqYfDrgVUn0nAuqxjvjOwKB0tTscuhZiKRSBDu5YCTaTzOT0RNx+DXcYnZJfj8t2Q80q01hvpziF/fhXk6IK+0Gql5ZWKXQkQ6isGvw3bGZ2Hs11GwNjfC2yO7il0OtYA76/k53E9ETcXg10GlVTV4fstZvLA1AV1cbbBnXm84cojfILjbm6OtrTkn+BFRkxmJXQA1TkJmEeb/dAaZhRV4blAnzBvQEUYyfn8zFBKJBGFeDjicmAOFQoBUKhG7JCLSMUwMHaFQCPjmeCrGfB2FmloFtswKw3ODOjP0DVC4lwOKKmpw+Wap2KUQkQ7iHr8OyC2pwgtbE/BnSj6GdG2ND0b7w8bCWOyySCR31vNHpebDz9Va5GqISNdwd1HLHbuciyFfnEDstUK8N6obVj7enaFv4NrYmKODYyse5yeiJuEev5aqrq3DhweSsOavdPi0tsJPj/VCJxcrscsiLRHm5YBfzt5AbZ2Ch3uIqFH4iaGFUvPKMOqrKKz5Kx1Twjyw++kIhj7VE+bpgNLqWly4USJ2KUSkY7jHr0UEQcC2uCy8uecizIyl+G5yCB70cxG7LNJCvTz/f97+QHdbcYshIp3CPX4tUVJVg/k/ncVL288hwN0GB57ty9Cn/+RkZYrOLpaISs0XuxQi0jFqBf/hw4chl8s1VYvBirt2C498cQL7z2dj4WBvbJrZC61tzMQui7RcuJcjYq/egrxWIXYpRKRD1Ar+t99+GxEREXjllVcQFRUFhYIfQI1RpxCw4mgyIr89CQDYOisMTw/oCBlPykIqCPNyQGVNHRKyisQuhYh0iFrH+I8fP47Y2FgcOHAAL730EgRBwMMPP4yhQ4eie/fumqpRL90srsLzW87iZFoBhvm3wXuju8HajMv0SHW9OjhAIgGiUgoQ2t5e7HKISEeoFfwSiQShoaEIDQ3Fa6+9hpiYGPz222+YPn067O3tMXToUIwZMwbt27fXULn64fClHCzcnoCqGgU+GuuPccFukEi4l0+NY2NhjC6u1jiZlo9n0UnscohIR2hkcl9VVRUOHTqEzZs3Y9euXXB2dsbw4cNRUFCA0aNHY+3atZr4Z3ReVU0d3txzATPXx6KNjTn2zu+NyBB3hj41WZinA+KvFaGqpk7sUohIR6i1x3/w4EEcOHAAf/zxB1q1aoVHHnkEa9euhb+/v/I23bp1wyeffIJp06apXawuS84pxTObz+DyzVJMj+iAl4d4w9RIJnZZpOPCvRzx3Yl0xF27hYiOjmKXQ0Q6QK3gf/311/Hggw9i5cqV6NWrV4N7rl26dMGMGTPU+Wd0miAI2Hw6E2/vvYhWJkZYOzUUA3ycxS6L9ERoB3vIpBKcTC1g8BORStQK/hdffBGPPvooTE3rXwu+oqICO3bswKRJk+Dv719vBMCQFFfUYNHOczhw4SZ6d3TEp5EBcLbmMj3SHEtTI/i72fy9nt9b7HKISAc0OvgLCgpQUVEBAFiyZAl8fX1hZ2dX7zaJiYn4+OOPMWnSJM1UqYNirhbi2c1nkFtajUVDfPBUH09eO52aRbiXA749noay6lpYmvJknER0b43+lIiNjcWzzz6rHNaPjIysN8QvCAIAYNSoURoqUbfU1imw4lgKvjySDHd7C2yfE85TqlKzCvN0xFfHUhFztRADvHkYiYjurdHBP3jwYBw9ehQKhQKDBg3Ctm3bYG///zXEEokEFhYWsLW11WSdOuFGUSWe++ksTl8txKigtnh7ZBdYcW0+NbNgDzuYyKQ4mVrA4Cei+2rSuKCrqysA4PLlyxotRpcdvJCNl3ecR22dAp9GBmB0dzexSyIDYW4iQ1A7W5xMLRC7FCLSAY0O/scffxxff/01rK2t8fjjj9/ztps2bWpyYbqiUl6Hd/Zdwo+nMtCtrQ2+fCwIHRxbiV0WGZgwLwd8cSQZxRU1sLHgKBMR/bdGB39YWBiMjY2Vfzdkl2+W4JkfzyA5twyz+npiwUPeMDHiBQ+p5YV7OeLzw8mITi/A4C6txS6HiLRYo4N/3rx5Df79jsLCQtjZ2en12egEQcDG6Gt4Z18irM2MsX56D/Tt7CR2WWTAAt1tYWZ8+zg/g5+I7kWt3dP8/HwsWLAAiYmJkMvlmDJlCiIiIjBo0CCkpKRoqkatUlVTh6c2xOH1PRcR5umAg8/1YeiT6EyMpAhtb8/j/ER0X2oF/1tvvYWbN2/C2toae/bswcWLF7Fx40b07t0bb7/9tqZq1CopuWX4KyUfrw31xdqpoXC0NL3/nYhaQJiXA5JySpFfVi12KUSkxdQ620dUVBS2bt2Ktm3b4rfffsOAAQMQHBysvEiPPura1gYX3xqs14cySDeFeToAAKLTCjDM31XkaohIW6m1x29kZARBEFBRUYFTp06hX79+AG4fAmjVSn9ntjP0SRt1a2sDS1MjRHG4n4juQa09/rCwMCxevBgWFhYwNTXFgAEDEBUVhXfeeQcPPPCApmokIhUYyaTo2cEe0Qx+IroHtfb4ly5dim7dusHc3ByrVq1Cq1atkJycjP79++PVV19t1GPJ5XIMGzYMUVFRym0nT57EmDFjEBQUhMGDB2Pbtm317hMdHY3hw4cjICAAkyZNwrVr19R5OkQ6L8zLAWn55bhZXCV2KUSkpdTa47e0tMRrr71Wb9uUKVMa/TjV1dVYsGABkpOTlduuXr2KWbNmYe7cuRgyZAgSEhKwePFiODg4YODAgcjOzsacOXMwd+5cDBgwAF999RXmzp2LX375BVIp19KTYQrzun2c/2RaPkYF8eyRRHQ3tYJfLpdj586dOH/+PGpra5UX6Lnjo48+uu9jpKSkYMGCBXfdd//+/fD19cXs2bMBAB4eHoiJicEvv/yCgQMHYuvWrfDx8cGTTz4JAHjvvfcQERGB6OhohIeHq/O0iHSWb2tr2FoYIyqlgMFPRA1Sa9f4tddewwcffICSkhJIpVLIZLJ6f1QRGxuLiIgIbNmypd72IUOG4PXXX6+3TSKRoLr69lKlhIQEhIaGKn9nbm6OLl264MyZM+o8JSKdJpVK0KuDAyf4EdF/UmuP//jx4/j0008xcODAJj/GhAkTGtzeoUOHej/n5+dj3759yrMF5uXlwdm5/pXIHBwckJOT0+RaiPRBeEcHHLx4E5mFFXC3txC7HCLSMmoFv5mZGdzd3TVVy3+qqKjAvHnz4OzsrPyiUFlZCRMTk3q3MzExgVwub/AxEhMTUVVVhcTExGavVxexN6rRhT454/Z7YMef5zG4k7VodehCr7QFe6Ua9kk19+uTWsH/9NNP47333sPixYvh7u6uvHjPHZqYZFdaWopZs2YhKysLP/74I8zNzQEApqamd4W8XC6Hra1tg4/j6+uLxMRE+Pr6ql2TPmJvVKMLffIRBDgeycPVChNRa9WFXmkL9ko17JNq7vQpLi6uwd+rFfxfffUVCgoK/vMsfep+MyssLMSMGTOQn5+P9evXo127dsrfubi4IC8vr97t8/Pz0alTJ7X+TSJdJ5FIEOZ1+zi/IAg84RQR1aNW8H/88ceaquMucrkcs2fPxq1bt7Bp06Z6oQ8AAQEBiI2NVf5cWVmJS5cuYc6cOc1WE5GuCPdywC8JN5CaV46OzpZil0NEWkSt4O/RowcAICcnB+np6QgMDERZWRkcHR3VLmzdunW4ePEivv/+e5ibmyv37o2NjWFra4sxY8Zg9erV+Prrr/Hggw9i5cqVcHV1RVhYmNr/NpGuC1eu5y9g8BNRPWodhC8vL8f8+fPRr18/TJ8+HXl5eXj99dcxYcIEFBSot5zo4MGDqK2txdSpU9G7d2/lnzt79G5ubli+fDn27NmDMWPGID8/HytXruTJe4gAtLO3gKuNGU6m5otdChFpGbX2+D/88EPcunULR44cwbBhwwAAixYtwssvv4ylS5fis88+a9TjJSUlKf++c+fO+96+X79+ygsDEdH/3T7O74hjSblQKARIpTzOT0S3qbV7fPToUbzyyito27atcpuHhweWLFmCv/76S+3iiKjpwr0cUFguR1JOqdilEJEWUSv4q6qq7lrCB9yemPfvU/ASUcu6c95+nsWPSLtlFlbgXFZRi/17agX/Aw88gGXLlqGkpES57erVq3jnnXfQv39/dWsjIjW42pqjvYMFTjL4ibRSVU0dPvvtCh749DgW7TjfYv+uWsH/+uuvw9jYGD179kRlZSVGjhyJIUOGwNbWFosXL9ZUjUTURGFeDjiVXoA6BUfgiLTJkcQcPPjZcXxxJBkPd2mNtdNC738nDVH7srzLly9HZmYmUlNTUVtbiw4dOsDLy0tT9RGRGsK8HLH5dCYu3iiGv5ut2OUQGbyMggq8vfciDifmoqOzJX58sifCvdRfAt8YjQ7+Gzdu3LVNJpOhc+fOd93G1dVVjdKISF1hnv8/zs/gJxJPVU0dvj2ehpW/p0AmleDVR3wwNbwDTIxafgl6o4N/4MCBKp8ClBdTIBKXk5UpOjlbIiq1ALP7cSSOSAxHL+dgyc+XkFFYgWH+bbB4qC/a2JiLVk+jg//XX39V/v3EiRPYsGEDFi1ahK5du8LIyAiXLl3Chx9+iPHjx2u0UCJqmnAvB2yLy4K8ViHK3gWRocosrMBbv1zC4cQceDm1wqaZPRHRsWWH9RvS6OD/5znzv//+e3z++ecICAhQbgsPD8c777yDuXPnYuLEiZqpkoiaLMzLAT+cvIZzWUUIaW8vdjlEeq+qpg6r/kjDV8duD+u/MsQH0yLEGdZviFqT+8rKylBbW9vg9pqaGnUemog0pGcHB0gkt4/zM/iJmtexpFws+fkirhVUYKh/G7wm8rB+Q9QK/uHDh+Oll17CM888Ax8fHwiCgPPnz2P58uWYMGGCpmokIjXYtTKBXxtrnEwtwPwHeNlqouaQWViBd/Zewq+XcuDp1AobZ/RE707iD+s3RK3gf/XVV2FpaYmPPvoIhYWFAABHR0dMnDiRl8cl0iJhng5YH30NVTV1MDOWiV0Okd6orq3Dd3+kYcWxFEggwcsP+2BGb+0Z1m+IWsFvZGSEF154AS+88IIy+O3t7x5KXLZsGWbMmAFbW1t1/jkiaqLwjg74/s90xGfcavE1w0T66ve/h/WvFlTgkW6t8dpQP7jaatewfkM09pXE3t6+wdAHgE2bNqG0lBcKIRJLaHt7yKQSnr6XSAOyblVg1oZYTF0bA6lEgvXTe2Dl48E6EfqAmnv8quIFe4jEZWVmjG5tbRCVWoAFYhdDpKOqa+vw/Yl0LD+aDABYONgbM/t0gKmRbh0+a5HgJyLxhXs5YNUfaSivrkUrU771iRrjjyt5ePPni0jPL8fDXVrj9eF+aKsje/j/pr2zD4hIo8K8HFCrEBBztVDsUoh0xvWiSszZGIfJa04DAH6Y3gPfTArW2dAHuMdPZDBCPOxhLJPgZFoB+ns7i10OkVaT1yrw/Z9pWH4kBQIEnR3WbwiDn8hAmJvIENTOjhP8iO7jRPLtYf20vHIM7uKC14f5wc3OQuyyNIbBT2RAwjwdsPxoMoora2Bjbix2OURaJbu4Ekv3JmLf+Wx4OFhg7bRQDNDD0TG1jvHv3bsXt27duu/txo0bB0tLS3X+KSLSgHAvBygE4HQ6j/MT3SGvVeCb46l4YNlxHE7MwYIHO+PQc331MvQBNff4v/32WyxatAh+fn7o27cv+vTpA39//7su2/vqq6+qVSQRaUZgO1uYGkkRlZqPB/1cxC6HSHR/peTjjT0XkJpXjgf9XPDGMD+42+vPsH5D1Ar+X375BXl5eYiKisLJkyfxzDPPQC6XIyIiAn369MGjjz6qoTKJSBNMjWQIbW/P4/xk8LKLK7F0XyL2nft7WH9qKAb46Oce/r+pfYzfyckJI0eOxJAhQ5CQkICffvoJ+/fvx/79+xn8RFoozMsBHx9KQkFZNRwsTcUuh6hFyWsVWPtXOr44kow6hYAXHuyMp/p6GtQ1LNQK/sOHDyM+Ph7x8fG4dOkS7O3tERwcjDfeeAOhoaGaqpGINCjMywEAEJ1WiKH+bUSuhqjl1CkEzN4Yh6OXczHI1wVvDtf/Yf2GqBX88+bNg1QqRd++fbF69WqGPZEO8G9rA0tTI5xMy2fwk0H54EAijl7OxVsjumBKeHuxyxGNWsG/e/dunD59GjExMZg/fz7Mzc0REhKCkJAQBAcHw8vLS1N1EpGGGMmkCG1vhyge5ycDsjU2E9+dSMeUMA+DDn1AzeD38fGBj48PJk+eDABISkrCpk2b8M4776C2thaJiYkaKZKINCvcyxHHkhKRU1IFF2szscshalan0wuxeNd59O7oiNeH+YldjujUntx3+fJlnD59WrnnL5VK8dBDD6F3796aqI+ImsGd4/wnUwvwaFBbkashaj6ZhRWYvTEO7nYW+GpidxjJeIkatYK/Z8+eKC8vR0BAAHr37o1Zs2aha9eud63jJyLt4tfGGjbmxohKzWfwk94qq67FzB9iUVunwPdTQmBjwbNVAmoG/7vvvotevXrxrHxEOkYqlaCXpz1OpvE4P+mnOoWA5346g5S8MqybFgpPJ+bUHWqNeQwaNAh//fUXxo0bh+DgYAQGBmLUqFHYsWOHpuojomYS5umAzMJKZBZWiF0KkcZ9fCgJhxNz8cYwP/Tp5CR2OVpFrT3+TZs24ZNPPsETTzyBOXPmQKFQID4+HkuXLkVdXR0iIyM1VScRaVh4R0cAwMm0AoNcy0z6a2d8Fr45norHe7bD5DAPscvROmoF/5o1a/Dmm2/WO0PfoEGD0LlzZ3z99dcMfiIt1snZEo6WJjiZWoDIEHexyyHSiLhrt7Box3mEeTpgyYgunHPWALWG+gsLCxEUFHTX9sDAQGRnZ6vz0ETUzCQSCXp5OiAqNR+CIIhdDpHarhdVYtaGWLSxNcPKx7vDmDP4G6RWV3x9fbFr1667tu/atQsdO3ZU56GJqAWEezkip6Qa6fnlYpdCpJbyv2fwV9cosHpKCOxamYhdktZSa6h/4cKFmDp1Kk6ePAl/f38AwLlz53DlyhV8++23GimQiJpP+N/r+aNSCzjrmXSWQiHgha1nkXSzBGumhqKjs5XYJWk1tfb4g4KCsHPnTgQGBuLq1avIzs5Gr169cPDgQfTo0UNTNRJRM/FwsEAbGzMu6yOd9tnhKzh0MQeLh/qhv7dhXFpXHWqfuc/LywuvvPKKJmohohYmkUgQ5uWA40l5UCgESKWcCEW6Zc/Z61h+NAXjQ9wxPaK92OXoBLWCv6ioCKtXr8b58+dRW1t71wShTZs2qVUcETW/ME8H7Iy/jiu5pfBpbS12OUQqO5tZhIXbz6FHe3u88yjPGqsqtYL/lVdewblz5zB8+HCevY9IR/3zvP0MftIV2cWVeHJ9LJytTPH1E91hYsQZ/KpSK/hjYmLwzTffICQkRFP1EFELc7OzgIeDBaJSCzAtooPY5RDdV6W8Dk+tj0NFdS02zoiAg6Wp2CXpFLW+Itnb28PUlA0n0nVhng6ITitAnYLr+Um7CYKAF7cl4MKNYnz5WBC8W3MGf2OpFfwvvvgi3nrrLRw/fhypqanIzMys94eIdEOYlwNKq2px6UaJ2KUQ3dMXR5Kx73w2Fj3sgwd8XcQuRyepNdQ/f/58AMCsWbOU2yQSCQRBgEQiQWJionrVEVGLCPO8s54/H93cbESuhqhhJ66W4fPjuRjT3Q1P9fUUuxydpVbwHzlyBKWlpTA2NoaZmRnKysrwxx9/wM7ODmFhYZqqkYiambO1GTo6W+JkWgFm9fMSuxyiu5zPKsayP/MQ7GGH90ZzBr861BrqT05OxmOPPYacnBwoFAo88cQT2L59O5YuXYoTJ05oqkYiagHhXg44nV6Iqpo6sUshqie3pApPro+FjZkM3zwRDFMjmdgl6TS1gv+zzz7DrFmzEBYWhu3bt8PR0REHDx7EJ598gtWrVzf68eRyOYYNG4aoqKh6269duwZ/f3/U1tbW2z548GB4e3vX+8PDC0RN83CX1qiQ1+HQxZtil0KkVFVThyfXx6KkqgZvDnSBkxUnlKtLraH+9PR0jBw5EhKJBEePHsWgQYMgkUjg6+uL3NzcRj1WdXU1FixYgOTk5Hrbs7OzMWvWLFRXV9fbLpfLkZmZic2bN8Pd/f+XFLWzs2v6EyIyYL08HdDW1hzb47IwMrCt2OUQQRAEvLT9HBKyivHtpGC0k94SuyS9oNYev7OzMy5fvozLly8jOTkZ/fv3BwD8+eefaNtW9Q+OlJQUREZGIiMjo972w4cPY/To0TAxufsqS2lpaZBIJOjWrRucnJyUf4yM1D4LMZFBkkolGBPshj9T8nGjqFLscojw1bEU/JxwAwsHe2Nwl9Zil6M31Ar+adOm4ZlnnkFkZCTCwsIQHByMlStX4p133sHcuXNVfpzY2FhERERgy5Yt9bafOHECzz//PBYvXnzXfVJTU+Hm5gZjY2N1ngIR/cPY7m4QBGDXmetil0IG7uCFm/jk1yt4NNAVc/tzwqkmqbV7/Pjjj6N79+64fv06evfuDQAIDw/HwIED4ePjo/LjTJgwocHtb731FgDg1KlTd/0uJSUFMpkMM2fORGJiIjp06ICFCxciICCgCc+EiACgnYMFenawx7bYTMzt78WZ0ySKizeK8fyWswhwt8UHY/z5OtQwtcfFfX194evrq/w5MDBQ3YdUSWpqKkpKSvDiiy/CxcUFW7duxZQpU7B37164ubnddfvExERUVVVx8t9/YG9UYwh9inCV4dP0Cuz44yy6OJs1+XEMoVeawl79363KWjy77zpaGQMv9bJGesoV5e/YJ9Xcr086e0B82bJlqK6uVl4caMmSJYiPj8fu3bsxb968u27v6+uLxMTEel9S6P/YG9UYQp/aedbim5jDiMmTYWy/pj9XQ+iVprBXt1XV1GHxd9EolQvYPjscXdvWP5kU+6SaO32Ki4tr8Pc6ezkjY2PjelcElEgk8PT0bPRqAiKqr5WpEYZ2a4O9526gQl57/zsQaYAgCHh153nEZxTh08jAu0KfNEdng3/s2LFYtWqV8meFQoGkpCR4evI0jkTqGhvshnJ5HQ5e4Jp+ahnf/pGGnWeu4/lBnfFItzZil6PXdHaov3///li9ejW8vb3h7u6OdevWobi4GGPGjBG7NCKd16ODPTwcLLAtNguju989Z4ZIk367lIMPD17GMP82mP9AR7HL0Xs6G/xz5syBQqHAm2++icLCQgQEBGDdunWwsuIlGonUJZFIMLa7G5b9dgWZhRVwt7cQuyTSU5dvluC5n86gW1sbfDw2gDP4W4DWBX9SUtJd23r27HnXdplMhvnz5yuvEEhEmjU62A2fHr6CHfFZeG5QZ7HLIT1UUFaNmT/EopWpEVZNCoG5Cc/B3xJ09hg/ETWvtrbmiPByxI74LCgUgtjlkJ6prq3D7I1xyCutxneTQ9DapulLR6lxGPxE9J/GBrshs7ASp9ILxS6F9IggCHht1wXEXL2Fj8cFIMDdVuySDAqDn4j+0+AurWFlaoTtcVlil0J6ZPWf6dgWl4X5AztiRICr2OUYHAY/Ef0ncxMZhgW0wf7z2Sir5pp+Ut+xy7l4b38ihnRtzbkjImHwE9E9jQ12R2VNHfafyxa7FNJxyTmlmL/5DHxaW2NZZACkUs7gFwODn4juqXs7W3g6teJwP6mlsFyOGT/EwtRYhu+nhMDCROsWlRkMBj8R3ZNEIsHYYDecvlqIq/nlYpdDOkheq8CcjXG4WVKFVZOD4WprLnZJBo3BT0T3NTrIDVIJsCOee/3UOIIg4M2fL+JUeiE+HNMN3dvZiV2SwWPwE9F9tbYxQ59OTtgRl4U6rumnRvgh6io2n87AnP5eGBXE0z9rAwY/EalkXIgbbhRX4WRqgdilkI7440oe3t57CQ/6uWDhQ95il0N/Y/ATkUoG+brA2swI2+IyxS6FdMC1gnLM+zEenV2s8Nn4QM7g1yIMfiJSiZmxDCMD2+LghZsoqaoRuxzSYuXVtXhqfRwkEglWTQqBpSln8GsTBj8RqWxssBuqaxXYm8A1/dQwQRCwcHsCknNLsWJiENo58MqO2obBT0Qq83ezQWcXSw7303/6+ngq9p+/iZcf9kGfTk5il0MNYPATkcrurOk/k1GElNwyscshLfN7Ui4+PpSE4QGueKqvp9jl0H9g8BNRozwa1BYyqYRn8qN6ruaXY/7mM/B2scKHY7pBIuFkPm3F4CeiRnG2MkP/zk7YdYZr+um28upaPLUhVjmZj6fj1W4MfiJqtHEhbsgpqcYfyXlil0IiuzOZLyW3jJP5dASDn4gabaCPC+wsjDncT1j5Oyfz6RoGPxE1momRFCMD2+K3izkoqpCLXQ6J5FhSLj75lZP5dA2Dn4iaZFyIG+R1CvyScEPsUkgEV/PL8Swn8+kkBj8RNUkXVxv4trHGNg73G5yyvyfzSaUSfDeZk/l0DYOfiJpsXLAbzmUVI+lmqdilUAsRBAELt/09me+x7nC352Q+XcPgJ6ImGxnoCiOpBNt5Jj+DsfL3VBy4cBOLhvigdydHscuhJmDwE1GTOVia4gFfZ+w6cx01dQqxy6Fmdmcy34gAVzzZh5P5dBWDn4jUMjbYHfllchxP4pp+fXZnMp9Pa2t8OMafk/l0GIOfiNTS39sJjpYmvHCPHvvnZL5Vk4JhbiITuyRSA4OfiNRiLJNiVFBbHEnMRUFZtdjlkIZxMp/+YfATkdrGBrujViFgz1mu6dc3dybzvTLEl5P59ASDn4jU5t3aCv5uNjyFr545dvn2ZL6Rga6Y2aeD2OWQhjD4iUgjxga74VJ2CS7eKBa7FNKA9PxyzP/pDHxbW+OD0ZzMp08Y/ESkESMCXGEik3KvXw+UVdfiqfWxMJJK8C0n8+kdBj8RaYSthQke9HPBnrM3IK/lmn5dJQgCXtyagNS8MqyYyMl8+ojBT0QaMzbEDYXlchy9nCN2KdREXx1LwcGLN/HqI76I6MjJfPqIwU9EGtOnoyOcrUw53K+jjl7OwbLfrmBkoCtm9OZkPn3F4CcijTGSSTG6uxuOJeWhsLJW7HKoEdLzy/HsT2c5mc8AMPiJSKPGBruhTiHgWFqZ2KWQijiZz7Aw+IlIozo6WyKonS1+SymFIAhil0P3oVAIWLD1LCfzGRAGPxFp3Lhgd1wrqsH561zTr+2+OpaCQxdzOJnPgDD4iUjjhgW0gYlMgm2xnOSnzY5ezsGnh6/gUU7mMygMfiLSOGszY4S3a4WfE26gqqZO7HKoAf+czPc+J/MZFAY/ETWLBztaoriyBocTuaZf23Ayn2Fj8BNRswhobQ5XGzMO92uZO5P50vLL8RUn8xkkBj8RNQuZVILR3d1wIjkPN4urxC6H/nZnMt8rQ3wQzsl8BonBT0TNZmywGxQCsPMM9/q1ASfzEcDgJ6Jm1N6xFULb22F7XBbX9IssLa8Mz24+C782nMxn6Bj8RNSsxgW7Iy2vHPEZRWKXYrBKq2rw1IY4GBtJOZmPGPxE1Lwe8W8Dc2MZL9wjktuT+RKQnl+OFROD4GbHyXyGTquCXy6XY9iwYYiKiqq3/dq1a/D390dtbf2LfkRHR2P48OEICAjApEmTcO3atZYsl4hUYGlqhCHdWmNvwg1Uyrmmv6WtOJaCXy/dPjNfuBcn85EWBX91dTVeeOEFJCcn19uenZ2NWbNmobq6+q7tc+bMwYgRI7Bjxw44Ojpi7ty5UCgULVk2EalgXLA7Sqtr8eulm2KXYlCOJObgs8NXMCqoLaZHtBe7HNISWhH8KSkpiIyMREZGRr3thw8fxujRo2FiYnLXfbZu3QofHx88+eST6NixI9577z1kZ2cjOjq6pcomIhX17GAPNztzrulvQal5ZXjup7Po4mqN90d342Q+UtKK4I+NjUVERAS2bNlSb/uJEyfw/PPPY/HixXfdJyEhAaGhocqfzc3N0aVLF5w5c6bZ6yWixpFKJRgb7Ia/UvNxvahS7HL0XmlVDZ5aH/v3ZL4QmBlzMh/9n5HYBQDAhAkTGtz+1ltvAQBOnTp11+/y8vLg7Oxcb5uDgwNycho+PWhiYiKqqqqQmJioZrX6ib1RDfukun/3KsC6BoIAfHvwDB4LsBOxMu2jydeVQhCw9FgO0vMr8P5DbVCSfRUl2Rp5aNHx/aea+/VJK4K/KSorK+86BGBiYgK5XN7g7X19fZGYmAhfX9+WKE/nsDeqYZ9U9+9e+QIIO1uB45mVeGu8D4ee/0GTr6svDifjZGYF3hjmh/F6dpIevv9Uc6dPcXFxDf5eK4b6m8LU1PSukJfL5TAzMxOpIiK6n7HBbrhWUIGYq7fELkUvHb70/8l80ziZj/6Dzga/i4sL8vLy6m3Lz8+Hk5OTSBUR0f0M6dYalqZG2BabKXYpeic1rwzPbzmLrm05mY/uTWeDPyAgAPHx8cqfKysrcenSJQQGBopXFBHdk4WJEYZ2a4N957NRXl17/zuQSvJKqzFjXQwn85FKdDb4x4wZg4SEBHz99ddISUnB4sWL4erqirCwMLFLI6J7GBvihgp5HQ5c4Jp+TSiurMHkNaeRU1KN7yaHoK2tudglkZbT2eB3c3PD8uXLsWfPHowZMwb5+flYuXIlpFKdfUpEBiHEww7tHSywPY7D/eqqqqnDkz/EIiW3FN9MCkawB1dL0P1p3az+pKSku7b17Nmzwe39+vVDv379WqIsItIQieT2mv5Pfr2CjIIKtHPgueOboqZOgXk/xiPmWiG+nBCEfp05v4lUw91jImpxo7u7QSIBtsfzTH5NoVAIeHn7ORxOzMXbI7tieICr2CWRDmHwE1GLc7U1R++OjtgRlwWFQhC7HJ0iCAKW7kvEzjPXseDBzpjUy0PskkjHMPiJSBRjg91wvagS0WkFYpeiU1b+noo1f6VjWkR7zBvYUexySAcx+IlIFIO7tIaVmRG2x3G4X1Ubo6/h40NJGBXUFq8P9eNafWoSBj8RicLMWIbhAa7YfyEbpVU1Ypej9faeu4HX91zAQB9nfDTWH1IpQ5+ahsFPRKIZF+yGqhoF9p/Xk6vINJM/ruTh+S1nEeJhh68mdoexjB/d1HR89RCRaALdbeHl1ArbYjnc/1/iM25h1oY4eDlZ4vspoTA34Vn5SD0MfiISjUQiwbgQd8Reu4X0/HKxy9E6V3JKMX1dDJytTbF+Rg/YmBuLXRLpAQY/EYlqVFBbSCXgmfz+JbOwApNWn4KJTIqNM3rC2YpXHiXNYPATkahcrM3Qr7MTdsRdRx3X9AMA8suqMXnNaVTK67B+Rg+42/PshqQ5DH4iEt3YYHfcLKnCXyn5YpciutKqGkxZcxrZxZVYOy0UPq2txS6J9AyDn4hEN8jPGTbmxthm4Gv6q2rqMPOHWCTdLMXXTwQj2MNe7JJIDzH4iUh0pkYyjAx0xaGLN1FcaZhr+mvrFJj34xmcvlqIZZEBGODtLHZJpKcY/ESkFcYFu0Neq8AvCTfELqXFKQQBL+84j8OJOVgyvAtGBrYVuyTSYwx+ItIKXdtaw9vFyuBO4SsIAlbHFmJHfBaeG9QJU8Lbi10S6TkGPxFphdtr+t1wNrMIKbmlYpfTYr4+noqdl4oxJcwDzz7QSexyyAAw+IlIazwa1BZGUonBTPLbfDoDHx1MQv8OlnhzeBdedIdaBIOfiLSGo6Up+ns7Y2f8ddTWKcQup1ntP5+NxbvOo7+3Exb0duJFd6jFMPiJSKuMC3FDXmk1TiTr75r+P5Pz8dxPZ9G9nR2+fjwYRgx9akEMfiLSKgO8nWHfygTb9PQUvmczi/DUhlh4OrXCal50h0TA4CcirWJiJMWjgW1x+FIubpXLxS5Ho1JySzFt7Wk4WJpg/fQesLHgRXeo5TH4iUjrjA12g7xOgZ/1aE3/9aJKTFp9GjLp3xfdseZFd0gcDH4i0jp+rtbo4mqtN8P9BWXVmPT9KZRV12L99B7wcGgldklkwBj8RKSVxga74cL1EiRml4hdilpKq2owdW0MbhRXYs3UUPi58qI7JC4GPxFppZGBbWEsk+j0mfyqaurw1Po4JGaX4OvHgxHanhfdIfEZiV0AEVFD7FuZYJCvC7bFZv69vt8JPq2tdOYkN7V1CszffAYn0wrw+fhADPDhRXdIOzD4iUhrPTuoEzIKK/Dhwcv48OBltLY2Q7/OTujv7YSITo6wNtPOWfGCIODVXefx66UcvDncD48G8aI7pD0Y/ESktXxaW2Pf/D7ILanC71fycDwpD/svZGNLbCaMpBJ097BDf28n9O/sDN822jMa8MHBy9gam4X5D3TCtIgOYpdDVA+Dn4i0nrO1GSJD3BEZ4o7aOgXOZBbh96Rc/J6Uh48OJuGjg0lwsTb9ezTAGb1FHA345ngqvj2ehkm9PPD8IF50h7QPg5+IdIqRTIrQ9vYIbW+PhYN9kFtSheNX8vD7lTwcvHATW2OzIJNKENzODv28nTDAu+VGA7bEZOCDA5cxPMAVb43gRXdIOzH4iUinOVubYVyIO8Y1MBrw8aEkfHyo/mhAREdH2JhrfjTg4IVsvLLzPPp2dsKycQG86A5pLQY/EemNu0YDSqtwPOm/RwP6ezvBr4212nvmUSn5mL/5LALdbfHNE91hYsSV0qS9GPxEpLecreqPBpzNLMLvSXn4/UqucjTA2ar+3IDGjgacyyrCk+tj0cGxFdZMDYWFCT9WSbvxFUpEBsFIJkVIe3uEtLfHi4O9640GHLp4E9vibo8GdG9ni/7ezujX2QldXO89GpCSW4apa2Ng18oE62f0gK2FSQs+I6KmYfATkUFSZTTA6e/RgAENjAbcKKrE5NWnIJUAG2f0hAsvukM6gsFPRAavodGAP67k4/ekXPx2KQfb/zUaENreHq/sPIfSqlr8NKsX2jvyojukOxj8RET/4mxlhrHBbhgb7IbaOgUSsv4eDfh7pQAAmBpJsX56D3RxtRG5WqLGYfATEd2DkUyKYA97BHvYY8FD3sgrrcaJ5Dx4OFgg2IMX3SHdw+AnImoEJytTjO7uJnYZRE3GxaZEREQGhMFPRERkQBj8REREBoTBT0REZEAY/ERERAaEwU9ERGRAGPxEREQGhMFPRERkQLQm+OVyOYYNG4aoqCjltuvXr2P69OkIDAzEkCFDcPz48Xr3GTx4MLy9vev9SUxMbOnSiYiIdIZWnLmvuroaCxYsQHJysnKbIAiYO3cuvLy8sH37dhw9ehTz58/H3r174e7uDrlcjszMTGzevBnu7u7K+9nZ2YnxFIiIiHSC6MGfkpKCBQsWQBCEetujo6ORnp6OTZs2wdLSEh07dkRUVBS2b9+O559/HmlpaZBIJOjWrRuMjY3/49GJiIjon0Qf6o+NjUVERAS2bNlSb3tCQgL8/PxgaWmp3BYcHIyzZ88CAFJTU+Hm5sbQJyIiagTR9/gnTJjQ4Pa8vDw4OzvX2+bg4ICbN28CuD1SIJPJMHPmTCQmJqJDhw5YuHAhAgICmr1mIiIiXSV68P+XysrKu/bmTUxMUFNTA+D2Hn9JSQlefPFFuLi4YOvWrZgyZQr27t0LN7e7r5wVFxdX7790N/ZGNeyT6tgr1bFXqmGfVHOvPmlt8JuamqKsrKzeNrlcDjMzMwDAsmXLUF1drTwUsGTJEsTHx2P37t2YN29evfsFBwe3TNFERERaTvRj/P/FxcUFeXl59bbl5+fDyckJAGBsbFzv+L9EIoGnpydyc3NbtE4iIiJdorXBHxAQgMuXL6OiokK5LS4uDoGBgQCAsWPHYtWqVcrfKRQKJCUlwdPTs6VLJSIi0hlaG/w9evSAq6srFi1ahOTkZKxatQoJCQkYN24cAKB///5YvXo1jh8/jrS0NCxZsgTFxcUYM2aMyJUTERFpL609xi+TybBy5UosXrwYo0ePRrt27bBixQrlxL05c+ZAoVDgzTffRGFhIQICArBu3TpYWVmJXLn2EgQBEolE7DK0VnR0NIKCgmBqaip2KVrt8OHDqK6uxtChQ8UuRafw/Ueaou5rSSL8+8w5OqSwsBCrVq3CokWLxC5FK505cwbR0dHw8/ND9+7dYWVlxQ+fBsTExODll1+GXC7Hrl27lPNIqL7Tp0/jrbfeQmpqKhYuXIgZM2bw9XQPZ86cwcmTJ+Ht7Y2goCDY29sD4BeAf8vKympwJRbVp8m809qhflWcP38eW7duxf79+wHcPs5Pt1c/vP3225g+fTri4+OxZMkSzJkzBwD4gfMPJSUlmDNnDqZNm4ZHH30UR48eZeg3IC8vD08++SSmT5+OQYMGoWfPnsr3Gl9Pd1MoFPjss88wY8YMpKSk4NNPP8WTTz6JY8eOAWDP/unGjRuYM2cO/vzzTwD8DL8XTeadTgb/nUGKzMxMVFVVYdOmTbh16xakUuldp/41RCkpKYiLi8PWrVuxatUqfPPNNzh79izOnTsndmlaZffu3Th27BgOHTqE+fPnw8TEROyStM6hQ4fQp08fmJmZ4ciRI3j++edx/fp1tG3bFgA/qBuSnZ2NP/74Ax9//DE+/fRT/PLLL2jfvj02btyImJgYADD4z6k7z//atWtITk7Grl27AABSqU5GUrNqjrzTuS7fGSbLzc3Fhg0bEB4eDplMhnXr1gHgt2kASEtLQ21tLaytrSGRSCCRSODr6wtbW1uxS9MqkZGRMDExQUZGhnJbenr6XeePMGTdu3fHli1bsHz5cri4uAAAHB0dlT3jB/Xd8vLykJ6erhy+lkqlmD59OnJycrBlyxbU1dUZ9OeUQqFQPv+4uDg4ODggLS1Nedp2fpn8v+bKO61/1168eBGvvvoqvvvuOyQmJiqf6M2bN2FtbY13330XEREROHHiBC5fvgzAsF44/+zPxYsXAQDu7u6YOnUq7OzskJ+fjxdeeAHnz5/HM888g3fffRfXrl0DYFh7Hf9+HQmCADMzMwwbNgxr165Ffn4+pk2bhjlz5mD06NF47733lOFmqH26ePEinJycEBAQgNraWgC3z6hZXl4Oa2trAIb1XmvIP/t16dIlALcPtbm7uytPL15bW4suXboAuD2B9JdffgFgOK8rQRAgl8sxe/ZsFBcXQyqVQqFQ4MaNGzh69ChmzpyJXr164eeff0ZhYaFBj9y2VN5pdfDv378fU6dORXV1NY4ePYrnn39e+U3H398fc+fOhYuLC8LCwuDs7Kz8naHshfy7Py+88AI2btyIgIAAjBs3DiYmJsjJycGoUaOwadMmTJw4EX/++Se+//57FBcXG8xex7/79Nxzz+GHH34AAAwdOhS3bt3Cs88+i8DAQCxduhTTpk3DyZMn8e2336KoqMhg+7RgwQLle8rIyAg1NTUwNzdH+/btERsbC8Bw3msNaejz6ccff0SPHj1gaWmJo0ePIjk5GUZGRsjIyICrqysGDBiA6OholJaWGszr6s5e6++//47ly5cDuP26cXFxQZs2bTB27FiEhYVBIpFg/fr1AAxz5LYl804rl/PdeaGcOnUKI0eOxGuvvQYA+Oabb3Dw4EFYWFggMjISAwYMAHC7KX369MGOHTtw5MgRPPDAA1AoFHr7oXSv/uzduxempqYYN24c6urq4Ovri06dOsHExATBwcFQKBTYs2cPkpOTERISIvIzaV736tOBAwfg4OCAAQMGoKamBgUFBRg/fjxat26NkJAQGBkZYceOHUhMTERYWJjIz6R53e/9ZmlpibFjxyr31Dp27Ijk5GQUFRUZ5OGje/Vr165dcHV1xWuvvYZ3330XM2bMQFBQEA4dOoR58+bBxcUFO3fuRFFRkcEsPZZKpbhy5QqMjIywceNGjB49Gn5+fpDJZPj8889hbGyMHj164Ny5czh69Cgefvhh+Pj46PVn+D+JkXda2dU73/aio6PRoUMH5fbRo0cjJCQEa9asQUlJCYDbw2oA0LdvX3Tq1AmbN29GbW2tXr9g7tWf0NBQrF69GiUlJZDJZJBKpfUmrY0ZMwbp6ektXrMY7tenlStXwtjYGLNmzcKyZcvQunVr5bDZo48+iqtXrxrEnsf93m93RojuvJ6cnJyQmpoKIyOt3G9odvfqV48ePfDhhx+iQ4cO+PLLLzF58mTY2dlhzZo1mDdvHkaNGoXLly8rP7cMQXV1NVauXInw8HAMGjQIr776qvJ3xsbGqK2thZmZGfr372+QI7di5J1WdvbOh2/Pnj1x9OhR5XZnZ2cMGTIEtra2WLFiBQAoP3zc3d3Rv39/lJeXY+PGjQD09xjavfrz8MMPw87OTjmklpGRgcTEROVtrl27BltbW8hkspYtWgT3ex1ZWVnhiy++wJAhQxAUFITy8nLlGygjIwNWVlbs09/vt6+++kq5/dFHH0VWVhbi4+MBAHV1dS1bsMju1a9HHnkENjY2+Pzzz+Ho6IiZM2fizTffRHh4OIDbk9lat24NmUymt59P/3bnfTVjxgw899xzSEtLw549ewDcfu3c+Qzv2rUr+vTpgytXriiXPhrCHBIx8k5rgv+fRd/58A0ICEBVVZVyjScAdOrUCY888ghOnTqF9PR0SKVS5cSjsLAweHp64vDhwygvL9ervbXG9GfIkCE4ffo0bty4gbNnz+Lll1/GwoULERMTg48++giurq7w8fFp8efQEhrTp2HDhiEqKgpXr15FVFQUZsyYgY8++ggXLlzABx98AFdXV+WkLH3T1PcbcPvy2I8++qhyz8wQvhw1tl+nT5/G1atXkZ2djaVLl2Lx4sVISkrC2rVr4evrCw8PD736fLqjofCxt7fH5MmT0bNnT3h6emLSpEn44IMPAED5BejO/fr27YuOHTti5cqVej9ye4cYeSdaV3/99VccP35cOcP8n0XfeREEBQXBzs4Ohw4dUg5xmJiYwN/fHw4ODsoJRne+Bdna2mL69On49ttv0apVq5Z8Ohqnbn9sbW1x5swZPPjgg5g0aRKys7Px0UcfwczMDJ999hnMzc1b/kk1A0306eLFi+jWrRuCgoIQHR2NRYsWwczMDF988QUsLCxa/kk1A02/34KDg5GVlaVcSaJv1O2XnZ0dzp49C2dnZ4SGhiI1NRULFiyATCbDkiVL9Cb079Un4P+jQd27dwdwO+Qee+wxmJqaYtmyZQDqL+9zd3dHnz59lMet9WVU5NChQzh69Khypcc/iZF3LX6QLiMjA8899xzKy8thZ2eH3NxcPPHEE5g2bRokEgnq6uogCAKMjIzg6emJ0NBQHDlyBLt370ZkZCQAIDAwELdu3WpwGMjLy6uln5JGaao/JSUlKCkpgbm5OcaNG4eRI0cqH1MfaKpPxcXFKC4uhpWVFV5++WWUlZWhoqICzs7OIj9DzWiu91vv3r2VF9LSJ5rqV1FRESorKyGTyfDwww+jb9++qKiogKOjo8jPUDNU6RPQ8GiQm5sbZs+ejXfeeQeTJ0+Gk5OTMvwlEgmGDh2qN3v62dnZmD17NkpLS2FsbAwTExM89dRTGD58OACIlnctHvw///wzbG1t8dNPP6G6uhpRUVF49dVXYW1tjREjRignomVmZmLXrl3o168frl+/jp9++gnh4eFwc3NTHhfSl2/N/6TJ/vzzTWdiYqJXZ6bTZJ/+OUnN0tISlpaWYj0tjWuu95u+BNi/Ndf7z8LCQm9GjwDV+3Tjxg1s2LABEydOhLu7u/L+Dz/8MPbu3atcs34n9AH9mtT3+++/w9HRETt27FCet+CVV16Bs7MzQkJClK+Rls67Fgn+zZs3w9fXFwEBAThz5gxcXV2VQTR48GD8+uuvWL16NTp37gx/f3+8++672LFjB3r16oU5c+bAxsYGeXl5mDBhAoYMGYKcnBzcunVLb5ZZsT+qYZ9Uwz41Dvulmqb2KTw8/K5ln3eGqefOnYsbN27o3cjRHampqTA2NoaRkRHatWuHqVOnIiYmBl999RXefvtttG/fXpTXU7N+tdq8eTNCQ0Px1ltvQSqVQiKR4NatWzAzMwPw/6UJ/fr1w9WrV3H48GHlGtcVK1Yol1u1b98en332GaZOnYqysjIYGRlhw4YN9b5B6iL2RzXsk2rYp8Zhv1Sjbp9WrFjR4DkL+vTpg5iYGL0J/Z9//hkrVqxQXkQHuN0bW1tbVFRUKIfq33jjDWRmZuLYsWPYv38/CgsLW/71JDSDmJgYYfDgwUJYWJiwdu1aYfDgwUJUVJQgCIKwdetWITAwUEhOTlbe/vPPPxcmTpwozJo1S4iJibnr8Wpra5V/r6ura46SWxT7oxr2STXsU+OwX6rRdJ/0VUlJiTBjxgyhf//+wvz584XAwEBh0aJFgiAIwuHDh4XAwEAhNTVVEIT/v1Y+//xzYdSoUUJKSoqgUCjqPV5LvJ40Hvzvvfee4O3tLXzyySeCQqEQsrKyhB49egg3btxQ3mbKlCnCQw89JCxatEiYNm2a0K9fP+HSpUvCgAEDhE2bNgmCUP/J6xP2RzXsk2rYp8Zhv1TDPqnu5MmTwvjx44WCggJBEATh1KlTgre3t5CXlycIgiCMGDFC+UXgnyEfHBwsbN++XRCElu+Txof6hwwZgiNHjmDBggWQSCSQSqUwMzNDVlaW8jaffvopZsyYgZKSErRu3Ro//fQTfH19MWjQIERHRwPQ37XB7I9q2CfVsE+Nw36phn1SXXZ2Nq5fv66cx2BqaoqIiAjlMr0XX3wRu3fvRkxMDCQSiXL7iBEjlCcqauk+qT25b//+/YiLi0ObNm0wePBgdOvWDTKZDDU1NTA2NkZxcTHq6uqU6wwVCgXs7e0RGRmpXK4A3L6C1ZUrV5TrPfXlPM3sj2rYJ9WwT43DfqmGfVLNnT65urrioYcegru7O9q1awcLCwssWrQI3bt3x6effgpjY2NMnjwZEydOxIgRIxAZGYm3334by5cvR/v27QHcvuKeh4cHgJbvU5ODv66uDu+//z7279+PyMhI7NmzB3/88Qf69OmDJ598UvkNxsfHB0ZGRrh48SL8/PzqLUlYt24dCgoKEB4eDqlUisLCQgQHBwPQ/SUd7I9q2CfVsE+Nw36phn1Szb/7tHv3bvz+++948MEHMXnyZMyYMQP79u3D+++/j5kzZ2LQoEE4duwYdu3ahYyMDLzxxhuIjIzE+++/j/DwcLRt2xYpKSkYMmQIABH61NRjBDdv3hRGjBgh7N+/XxAEQSgrKxPWrl0r9O7dWzh79qwgCLePWxQVFQnPPPOMsGzZMuVEhTvHOf766y/h6aefFh555BGhV69ewnfffafegQstwv6ohn1SDfvUOOyXatgn1TTUpzVr1ggRERHKPh04cECYPn26UFVVpbzf2rVrhcjISCEjI0NIS0sTPvnkE2HUqFFC3759hW+++UaU5yIIKk7uu/M/OCYmRigqKhIEQRDOnTsneHt7Czk5OcrbZWRkCKNHjxYee+yxevd/4YUXhPnz5wuC0PAsxcuXLwsVFRVNewZagP1RDfukGvapcdgv1bBPqmlsn8aPHy8IgiAcO3ZMePrpp4XCwkLlbS5fvixEREQI6enpym35+fn1vhyIQaXxBYlEgps3b+Kpp55CbGwsBEGAsbExOnfujCNHjgC4PRTStm1bKBQKxMfHY9euXcr7jxkzBkeOHEFZWZnymt5/jzYAALy9vXX63PHsj2rYJ9WwT43DfqmGfVJNY/t09uxZ/PrrrzAzM0NaWhrOnDmjfKzKysq7ztjo4OAAU1PTFn1O/6bygYXMzExUVFRg27ZtKC4uRtu2bdGtWzccOnQIly5dgkwmQ0pKCtzc3DB9+nRs2LBB+YLw8fFB165dsWrVKgD/v5CDPp1yl/1RDfukGvapcdgv1bBPqmlMn6ZNm4bVq1ejV69eaNeuHVasWIEPP/wQv/32G5YsWYLQ0FC0a9dO7KdUj8rBf+jQIXh7e+PEiRPYvXs3rKysMH78eFhaWmLSpEkYPXo0Ro0aBR8fH/Tp0wdmZmbKqwlZWFggODgYUVFRKCsr08sXCvujGvZJNexT47BfqmGfVNOYPvXt2xcAkJKSgjfffBMPPfQQLl68iK+//hr9+vXDu+++q32THFU5HlBcXCxMnDhRuHDhgrBu3TohPDxcyMjIEARBEKqrq4XffvtN+O6774QrV64IgnB7IkTfvn2VZysSBEG4du2aUFpaqu6hCa3E/qiGfVIN+9Q47Jdq2CfVNKVPffr0qdenyspKobKyUpT6VaFS8FdVVQlbtmxR/g+PiIgQli5dWu+J3bp1S/n3hIQEYfDgwUJKSopmq9VS7I9q2CfVsE+Nw36phn1SjSH0qUnL+fbt2yd07dpViI+PFwRBELKzs4U5c+YIc+bMEfbv3y9ERkYKL774ol6dt7ox2B/VsE+qYZ8ah/1SDfukGn3sk0QQ/p65oYJ/nl1o/PjxsLW1xeeffw5zc3OcPXsWa9asQU5ODrp164bXXnut2Q5PaCv2RzXsk2rYp8Zhv1TDPqlGr/vU2G8Kdy4mkJSUJPj5+QkHDhxQftOpq6vT6uMaLYH9UQ37pBr2qXHYL9WwT6rR1z41eqqhTCZDXV0dOnfujMGDB+Odd95BUVERACgv5GDI2B/VsE+qYZ8ah/1SDfukGn3tU6OG+u+4MwRSVVWF/fv3Y/To0c1Rm85if1TDPqmGfWoc9ks17JNq9LFPTQp+4PbZmvR5Hae62B/VsE+qYZ8ah/1SDfukGn3rU5ODn4iIiHSPlp1OiIiIiJoTg5+IiMiAMPiJiIgMCIOfiIjIgDD4iYiIDAiDn4iIyIAw+IlIZYmJiYiNjcWpU6fg7e2N2tpasUsiokZi8BORyp5++mmkp6cjKCgIf/75J4yMjMQuiYgaicFPRI1mYmICJycnscsgoiZg8BORSiZNmoTr16/jtddew8CBA5VD/VlZWfD29saRI0cwcOBABAUF4YMPPkBSUhJGjx6NwMBAzJ49GxUVFcrH2rJlCx544AEEBQXhsccew7lz50R8ZkSGhcFPRCpZvnw5WrdujUWLFuHVV1+96/ffffcdVq5ciSVLlmDt2rWYP38+Fi5ciO+++w4xMTHYsWMHAODo0aP44osv8Morr2DXrl3o27cvpkyZgtzc3JZ+SkQGicFPRCqxtbWFTCaDpaUlrKys7vr9nDlz4OPjg5EjR8LW1hZDhw5FWFgYQkND0aNHD6SlpQEAvv/+ezz11FMYNGgQ2rdvjzlz5qBr167Ytm1bSz8lIoPEmTlEpBFubm7Kv5uamsLV1VX5s5mZGeRyOQAgNTUVn376Kb744gvl7+VyOVq3bt1yxRIZMAY/EWnEv2f4S6UNDyjW1dXh5ZdfRu/evettt7CwaLbaiOj/ONRPRC2qQ4cOuHnzJjw8PJR/1qxZg9OnT4tdGpFBYPATkcpatWqFtLQ0FBcXN/kxpk2bhg0bNmDXrl3IyMjAihUrsGPHDnh6emqwUiL6LxzqJyKVPf744/jwww+xc+fOJj/GI488goKCAqxYsQK5ubnw9PTEV199BV9fXw1WSkT/RSIIgiB2EURERNQyONRPRERkQBj8REREBoTBT0REZEAY/ERERAaEwU9ERGRAGPxEREQGhMFPRERkQBj8REREBuR/v9nwlfdFucMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t_snow_north.isel(time=slice(12)).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 7\n",
    "\n",
    "And finally, we're going to find the peaks for the maximum and minimum snow accumulation in both hemispheres, and study when those peaks happen, how much snow there is, and whether the amounto of total snow is going up or down.\n",
    "\n",
    "You'll need to recreate a dataframe like the one pictured here (only a few rows shown, and this is for the northern hemisphere, you'll make one for each hemisphere):\n",
    "\n",
    "<img src=\"snow-peaks-north-df.png\" width=\"900px\" />\n",
    "\n",
    "**Hint:** look up the documentation for the xarray `idxmax` method."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false
   },
   "source": [
    "**Hint:**\n",
    "1. First, we want to extract the years from the data and iterate over them (try using `range`).\n",
    "1. When iterating over the years, we want to first pick the designated year, then find the days with the most and least snow as well as the amount of snow on those days.\n",
    "1. Once we've found the days, assign `vals` to be an array of the information we've calculated.\n",
    "1. Finally, append all the necessary information to `peaks`.\n",
    "\n",
    "- Amplitude is `max - min`\n",
    "- You may want to use `x.values.item` to extract information from the datetime objects.\n",
    "\n",
    "<!--\n",
    "BEGIN QUESTION\n",
    "name: q7\n",
    "-->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "105"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qq = pd.to_datetime(t_snow_north.sel(time='1979').idxmax().dt.strftime(\"%Y-%m-%d %H:%M:%S\").item())\n",
    "int(qq.strftime('%j'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>min_date</th>\n",
       "      <th>max_date</th>\n",
       "      <th>min_dayofyear</th>\n",
       "      <th>max_dayofyear</th>\n",
       "      <th>min_snow</th>\n",
       "      <th>max_snow</th>\n",
       "      <th>amplitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1979</td>\n",
       "      <td>1979-08-16 11:30:00</td>\n",
       "      <td>1979-04-15 23:30:00</td>\n",
       "      <td>228</td>\n",
       "      <td>105</td>\n",
       "      <td>106.247375</td>\n",
       "      <td>131.242065</td>\n",
       "      <td>24.994690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1980</td>\n",
       "      <td>1980-08-16 11:30:00</td>\n",
       "      <td>1980-04-15 23:30:00</td>\n",
       "      <td>229</td>\n",
       "      <td>106</td>\n",
       "      <td>105.883469</td>\n",
       "      <td>128.295532</td>\n",
       "      <td>22.412064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1981</td>\n",
       "      <td>1981-07-16 11:30:00</td>\n",
       "      <td>1981-04-15 23:30:00</td>\n",
       "      <td>197</td>\n",
       "      <td>105</td>\n",
       "      <td>106.037796</td>\n",
       "      <td>128.892883</td>\n",
       "      <td>22.855087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1982</td>\n",
       "      <td>1982-07-16 11:30:00</td>\n",
       "      <td>1982-04-15 23:30:00</td>\n",
       "      <td>197</td>\n",
       "      <td>105</td>\n",
       "      <td>106.007599</td>\n",
       "      <td>128.216461</td>\n",
       "      <td>22.208862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1983</td>\n",
       "      <td>1983-08-16 11:30:00</td>\n",
       "      <td>1983-04-15 23:30:00</td>\n",
       "      <td>228</td>\n",
       "      <td>105</td>\n",
       "      <td>105.946030</td>\n",
       "      <td>127.215462</td>\n",
       "      <td>21.269432</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year             min_date             max_date  min_dayofyear  \\\n",
       "0  1979  1979-08-16 11:30:00  1979-04-15 23:30:00            228   \n",
       "1  1980  1980-08-16 11:30:00  1980-04-15 23:30:00            229   \n",
       "2  1981  1981-07-16 11:30:00  1981-04-15 23:30:00            197   \n",
       "3  1982  1982-07-16 11:30:00  1982-04-15 23:30:00            197   \n",
       "4  1983  1983-08-16 11:30:00  1983-04-15 23:30:00            228   \n",
       "\n",
       "   max_dayofyear    min_snow    max_snow  amplitude  \n",
       "0            105  106.247375  131.242065  24.994690  \n",
       "1            106  105.883469  128.295532  22.412064  \n",
       "2            105  106.037796  128.892883  22.855087  \n",
       "3            105  106.007599  128.216461  22.208862  \n",
       "4            105  105.946030  127.215462  21.269432  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def extract_peaks(snow_data):\n",
    "    # extract years\n",
    "    years = list(set(snow.time.dt.year.data.tolist()))\n",
    "    years = [str(year) for year in years]\n",
    "    peaks = []\n",
    "    for y in years:\n",
    "        thisyear = snow_data.sel(time=y)\n",
    "        min_date = pd.to_datetime(thisyear.idxmin().dt.strftime(\"%Y-%m-%d %H:%M:%S\").item())\n",
    "        max_date = pd.to_datetime(thisyear.idxmax().dt.strftime(\"%Y-%m-%d %H:%M:%S\").item())\n",
    "        \n",
    "        min_snow = thisyear.min().data.item()\n",
    "        max_snow = thisyear.max().data.item()\n",
    "        vals = [y, str(min_date), str(max_date), \n",
    "                int(min_date.strftime('%j')),\n",
    "                int(max_date.strftime('%j')),\n",
    "                min_snow, max_snow,\n",
    "                max_snow - min_snow]\n",
    "        peaks.append(vals)\n",
    "\n",
    "    snow_peaks = pd.DataFrame(peaks, \n",
    "                              columns = ['year', 'min_date', 'max_date',\n",
    "                                         'min_dayofyear', 'max_dayofyear',\n",
    "                                         'min_snow', 'max_snow', 'amplitude'])\n",
    "\n",
    "    return snow_peaks\n",
    "\n",
    "peaks_north = extract_peaks(t_snow_north)\n",
    "peaks_north.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With this data, we can now quickly explore several questions. For example, during what day of the year do the min and max happen?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAecAAAFmCAYAAABX4VIpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAACKRElEQVR4nO2dd3xUxfr/P9s3m74JCaRt6AkBEoiAgIIiglQpili4YgEBEbsiKopeBf0KqHDBC3JBRVGKF+R3FbCClNAJJQESUjZAEpJs+m62nt8fm3Oym7rl7GbF5/168dKc8+zMnPOcmWfmmWdmBAzDMCAIgiAIwmcQtncBCIIgCIKwh4wzQRAEQfgYZJwJgiAIwscg40wQBEEQPgYZZ4IgCILwMcg4EwRBEISPIW7vArCcPHmyvYtAEARBEF4lNTW1+RuMj3DixAle08vIyCA5F+V8uWx/NzlfLtvNIufLZfu7yfly2ZyRc5TW7B65tQmCIAjCxyDjTBAEQRA+BhlngiAIgvAxyDgTBEEQhI9BxpkgCIIgfAwyzgRBEAThY5BxJgiCIAgfg4wzQRAEQfgYZJwJgiAIwscg40wQBEEQPgYZZ4IgCILwMcg4EwRBEISP4TOnUnkLi4VB1o0aHMvT4FiuBgqLFh8ktnepCL5Z80c2UFuDRB/SbWmNHifyNDiaq0FeaS1mJyvau0h/OcwWBi9uPQNtTTVGaQMxqLMSMaF+EAgE7V00guCVm944m8wWZBRW4ViutVE8nqdBhdYIAJCIBBACWMYwVLlvMjb8mYuYQCHmtWMZrlfouO/uWG4ZrpTUArB+d0Yzg8EdIzC4Hcv3V6RAo8XOM9chFgL7stMBAJ2C5RjYWYkB8UoM6qxEt4gAqs/EX56b0jhX1xnx7dly5B45hpN5GtQazACA+DAFRvWKxMDOYRgYr8Tvl27grR8uoKRGj4hAudfKd/5aJap0Jq/lB1g9Bv/vXCGy86pwplrdqmx1WQ0SEvjpsJTW6LE3q+08AcBPXwc+Brq1ehPKag0QC7z7eTMMg11nrmP38Ru49EMhrpbrAACBcjEGxCtx/y2xGNhZic5h/uj37s8oqvHuN1BWo8flUj0v77i9KCjXAgD+ObIT+vXqjmO5ZTiaq8GRK2XYdeY6AEDpL8WA+FCkqkJRU972t1dY6Nj3qS2v5c0Tc6OqDnsuO5ZvgMH7OjtypQxHHCifWChAF6nFS6WyojWY8HN2tUPvzlHdynR1PuVlA25S4/xr5g18ebocPSIDMaV/DAZ2VmJgZyUig+wNcKzSDwBQoNF5zTgzDINHNhzFkBg5hvT3SpYAgBP55Viw5XT9X6Vtyg/pW4Xe0cFu5/vv/Vew/nCpQ3l28Bdh0u1uZ8kZxZJaE0xmC8Qi74RWXCmpxXPfnUGwXIih3SPwxG2dMbCzEgkdgyAS2nd0QhQSFFUbvVIuln/9fgXfHL2O8UOTm5Tnr0KBxqrbjoFi9OwYiJ4dAzFjcDwYhkF+mZabrjqWq8HeC8X1v2r723NMBrijfw26dghwrfA2fPpbFjanOVYvYoIkmHCb21k6jMFkwaP/OQaD2QJHyvfUgDCk9vV8uVj+e/oaVhwqAVDi4C/afoZAmRCTh/mWB/WmNM6T+kWjs6QCyb2TWpWLDbXO+V0t1yJVFeqNoqFca0SF1oirVSKv5MeSV2p1qa4YG4UhyS13EXNKavDQ50eRW1rLi3HOKalFbLAE2+YNa1Vu46Fc/PtADuqMZsgl7r2bAo11dGVhgMLKOsQqvTO3y77jJSM6YtKwfq3KxoYqUFxj8EaxOHJKa1BnYlBUVYfoED+v5s0XBeVaiIUChCvsmy6BQID4cH/Eh/tj2i2xAABNrQEXMi+he/furaaZlZXVpkxGYSUe33QCuSW1vBjnnJJadFNKsfmp1nujn+2/gq+O5MFsYbzWobpWoYPBbMFTA8Lw2MiUVmXvXrkf16u828nMKamFTCTAH6/cCQFafyeO6Pa74wVY+ctlVGiNCPWX8llUt7gpjTMASB0YLcXUG2e2MfcG6vq8Cr08alJrtBAJBegRJkPH4Ja9BIFyMSfPB/kaLWKCJK3mCQCJnYIAWDtK3SIC3cqTdX0CVt16yziz76xjoKRN2TilAmfyvffdAQ3lyy+r/esaZ40W0aF+Dhkqpb8U4f7iNr+9cgdkJCJrfvl81YsyLbqHStvMt2fHQJgZoLBSx7VXnia/zNrJ7NZGWwEAqjAFCmu825bll2nRMVCMTsFtf8OO6LZXlLXtyddofco4/62XUvlJRQj1E3GuMm/ANpCltWbUGc1ezTc6pO1GzV8mRqifiBsFuoPFwkCt0SIqqG1jxRpQPjoFtvq0NdSeRq3RIkAmRpDMgY6h0g/FNUZYLIwXSmbVxdX696Iu826ngE8KynWcx8ubKP2lUEgEUJe5Xy/0JjOuV+oQFdT22CiOx3rhKGxejpavqNq7sRNqTS2iHOgAO0p8mPUd5/OgWz75WxtnAOgYIPZuA17/ATCwjhK9Rb5Gy1X0tugUKOZlhFBUVQeDyYJODo4kAWuv2F3UGi26dvCHUACvd7xilQqH5q1iQxUwWYAb1XovlKxeF2Zr4E7eX9g4X9VouVgRbyIQCNApUMLLu7targPDwKl64c0OVV6pFgqpCKHytqeXYpUKFNUYYfZiJzO/TOvQu3OUWB7bHj752xvnyABJu/RKAe9+DAUaLeLCHDXOEl4aA/b5OgW23QMPD5BCLhbwoour5Vp0DvdHB3+x13Ub56Dh4NNT4Ai2+ag1vjVCcBQ2Ct9b7t3GdArkp61Qc/WibQPTKVgOkcDbI+daxDnYyVQp/WGyAMVVdV4ombUzqzdZHGpTHEUuESFMISLj7Gt0DBCjsLIOJrN3lgOoNVp0CfcH4D3jXF1nhKbW4PDIOSpQgqKqOrfd7qwRcMQFJRAI0DFQ4vb8P8MwKNBoEROq8KpXxGKx5qsK83dIPjaUXSngXeMcHSTxuUbIUVhdeiuGoDFRgRJcLde63Vaw7tMoBwyMWCRERIB3O5n5ZVqoHOzIe9vtzr47PkfOgFW3vtZpJeMcKIbZwqCw0js9vwKNDsmxIVBIBF6b42Bdu467ta0fvrsVLq/MGlnbwd+xXm4nHhqhcq0RtQYzYpUKRAZIvObWLqmx9ugdNRzRoX4QwHtz4gUaLYQCILmjHPllWjCMd9yQfMLqku3YeJtOgWIYze63FXllVrdxiANuYwDoGOB+p9VRLBYG+U50Mr1vnB33OjgDX1MWfPK3N86RAVYle+PjN5gsuF6pQ5xSgU6BEt4iP9uCrTjOzDkD7o/s1WVaxDgYWQtYo5zVGvcMB6vH2FA/dAwQo7RGD53B84F3zr5jmVgEpcJ7wYhqjRZRIX6IDZaiRm+Cpta7y7j4gNNtO42cWYPgdr2oj/9wdE1tp0DvjZyLq61xIg63FSHy+tgOLxlnTS1EQgEiAvhdaNQpUIySaj20Bu8Gt7XG3944d6xXsjdGMFfLtWAYcMbZW0EerLvG0UYtimuE3BvZ52tqHe6BA1Zd1BktKKlxPUjK1vUZWd/J8EbgHdtgO9qoAfUjIi+NnPPLtPXfXX3Hy4tuUr4oKNfCTyJCWDstd2FXHeS76f7ML6tFvDP1IlCCcq0RVXWeX7LEfseOlk8iEiLCX+y1qZL8+g6/mOc136xuvTl90BZ/e+PcwV8MkVDglREMN7oKszaSBeVar0Q5qjVahCgkCPZzzBUUKBMiUO5ehWMYBvmljs9dATbudDfy5VyfSgU6sV4RLxhAdb3b2Jn1wx0DxLjqpcbAOh+usBn9+db8miMUaHROjTj5JkwhglQsdKtemC0MCjQ6J+tF/d4DXjCA7HfhTPk68hQo5whsJ5Nv2HqRV0rG2WcQCQWICpF7pQFnXT8qpQJRgRIYzQyuV3ijU6Bz6oMWCARQhSncGl2Va42o1pucypdrhNzIt6BcC6W/FAEyMTdy9kbHq0CjRadgP0jFjlepjoFiFNYvN/MkNfVRzrFKBToGiiEQ+N6yEUe4Wt4+y6hYhAIBYkP93OrYsEvaHF05AVg9LIB3XMf59XEindrYuMOWToFi77m1y2qd6jg4SkPb4zud1r+9cQasa0698XGpNVrIxEJ0CJTxFnTlCK7skqUK83drwwW2AXPGfRcRYDUcbhlnjZYLGAqViyCXCL2mW2d79JEBEjAMPN5BK7CZD5eKhOgUJP/LbURiG4XfnsSH+bvVsXGlXnizrcivbyuc2Y++Y4AEZbUG1Og9O19boTWgqs7k1LtzlACpCKEK31rJQMYZ9ca53DtubdYtx7lRPOxeNFsYXC133nColApcLde5vGyE/cid6eVKRUJ0DJK7bZxj6p9VIBAgJlThNbe2s+/YW/EOjYPV4sIUHv/u+MY2Cr89iQtTuBW06Epsgr9UiBCFd1zH+WW1Tn/HnTgPlWfLl+fCu3OGODc7XnzjkHFWq9WYM2cOBgwYgGHDhmHZsmXQ661BO0eOHMHUqVPRr18/jB49Gtu2bbP7bVpaGiZMmIDk5GTMmDED+fn5/D+Fm8Qq/VBS7fmoXtv5knB/6/yVp0cwhZU6GM2M88Y5TAGThcH1CteWjbAfubONaazSdS+G2cLgWoX99o6xoX5Qe9itrTWYUFKtd8pVCTTswe3pRlfdqFGLD/P3qcAXR2DL217LqFhUSgW0BrPLQYv5ZVpIRAJEObm3eZxS4XGdsSd7Oes27shTFHtbNMyH8z9yBqy6dTfYj0/aNM4GgwFz5syBVCrFt99+i48++gi//PILVq5ciby8PDz11FO4++67sXPnTjz99NN455138NtvvwEACgsLMXfuXEycOBE7duxAeHg45s2bB4vFu+d/tgVrQDwZ1cu65di8GuavvDNqUrng1gZcj0zN19SiU7Dc6ROmVG40QsVVdTCaGbt5yVilAlfdXJ7VFrZBaM6g9BNBIvJ8MKJao0WgXMwFBMaFKVBa43k3JJ+09zIqFlX9BkKudqrVmlrEhiqcPmEqzo1Oq6NUaI2orjM5bfw4D5CXO5l8Ex+mwLVyncdjQBylTeN89uxZqNVqLF26FF27dsXAgQPx7LPPYvfu3fjxxx+RmJiIOXPmQKVSYeLEiZg0aRJ2794NANi6dSsSEhIwa9YsdOvWDe+//z4KCwuRlpbm8QdzBu50Kg8aZ02tAbUGs12vVBXm73H3oquNGltOVxfmuxpVGadUoLhK79LuZA1rnG1HzgpU602o1HluGYqrHSCRUIDoED+vuLVVYQ1Rziolu0Od74wS2qK9dwdjYXXsar3IK3V8G11b4tycZnIEti1y9jsOlIkQ7Od5t3temRaRQTL4ST1z3G5cmD8sjPXITF+gTePcpUsXrFu3Dv7+Db0pgUAAg8GAMWPG4M0337STFwgEnMs7PT0dAwYM4O75+fkhKSkJp0+f5qv8vMCOtDw5gmlukwqVm/NXjubrbPQlAEQGyuvd7i6OnF1wjwHgGi5XeuFs3IBtA95eunUUdmTvSQoazYezevkrBYUVaHQIVUgQIGvfU25jQhUQCuBSvWAY6yltzho/wPptmTy8kyHXyXSx8+Dx6RlNLdex9AQqHzudqk3jrFQqMWTIEO5vi8WCzZs3IzU1FZ07d0bv3r25e6Wlpfjf//7HGeSSkhJERETYpRcWFobi4mK+ys8LHQJkHo/qbdY4189fldZ4brcmtUaH6FA/p6IvAUAoFFjnYFxowGv1JpTW6F2aG3LnQIgCjRYCARAV0tARYdPz5Oi0QKNFoEyMEIXzWwrGeDgY0RoQqLPrsHCN0F9o3tmVoEZPIBULERXi59K709RHNLtSL9hn92QblV9mrT+ueCe84XZ3tcPvKFyn1UfqhdPd0KVLlyIzMxPbt2+3u67VajF//nxERERg+vTpAACdTgep1H43H6lUCoOheWOUmZnpbHFapK6uzqH06urqcPHiRXRQiJChLkZmZvNzQc6k15zcyUvlAICaG2pkaoSoq6uDQGv9CPafykBSRPMjW3fzvXytDEqpkLvnSHqsjFJqweXrmhblW0orV2P1nIjrypGZmenUM+h11wAAxzNzEQWNU/mez7uBMD8RcrIuc3Jmw1UAwMmLeegsrnAqPUflMtQ30MFfiIsXLzqdntxUB02tAafOXoCfpGkHyt2yldSaYDBbINVXcbq4mpuNIJkQZ7KvITOi+brobr58y10pqkC3MJlT37Gjcs6mFS4HLl4tc7peZN6wjnqF2jJkZtY5la+h5joA4OiFKwg1lvDyHI1Jz7HWn9zsy63KNZeegtFCranF+QsZLc6nu6OLOqMFN6r18LPUOt2mOCpXWpADuViAU5cLMCCk+Q6zo+nxgcPGmWEYvPfee9iyZQs++eQTdO/enbtXXV2Np556ClevXsU333wDPz+rK1EmkzUxxAaDASEhIc3mkZiY6MIjNE9mZqZD6bFy3dKqUVylb/E3zqbXGN35dEQEatGvTxInd3tKLPBrEQQBHZCYGOORfG9sK8CYPpHcPUfSY2WSshmcPaZGQkJCs7sytZRW/vlCANcwpE8PJMYEO/UMKQkJUOy8Cr0k0GldVO+vQJdIaZNnDd55DXpJgMd0W/ZjMXp0Ujr1jlm5/j0jsfGUBoqIWCR0DOK9bBVXygCoMTCpCxK7d+DkukZqUGUReeyd8ClntjAo0eZiYv+OSExM4D1fZ9NKzDRhz/lCp9/dxbqrAK7jtpSe6BYR6FS+fXr0hPi/V2GUBXPvwN3naEzlH+Xo2kz9cSS9ft3DsO38OYRGd25xlzx3dHGxqApAHm5JiEdiYpTHvrv48FLUQO52vXCUkydPtnjPIV+nxWLBokWL8O2332LlypUYOXIkd0+j0eAf//gHCgoK8OWXXyIuLo67FxkZiZIS+15eaWkpOnTo4OwzeJw4pWfXwza3Dpadv/KUe7GqzohyrdGlOS4AiA9XQGc0o6TauWUj3FpOF1xQAoHAOn/lgjtdrdHaBYOxxCr9PDbnbLEwKCh3bjtGWxrclZ4pX8OudPauVFenLNqD5qLw25P4MIVLe12zbmNXNlIRi4SICXXNne4o+Rqtyxt8cKdTeeibatjz27NTG6ow36kXDhnnZcuWYffu3Vi1ahVGjRrFXWeXWZWXl+Prr79Gly5d7H6XnJyMU6dOcX/rdDpkZGQgJSWFn9LzSKxSgeo6Eyq1nonqLdA0jdKUioXoFOzedoBt5Qm4vvQgzsXI1HyNFqFO7OXdXL7OzvvoTWYUV9c124DHenAjkhvVehicOCqyMbEenktUa7QQCQXoFGI/bRIX5o/rlTroTZ4/sctdmovCb09cDajLL9OiU5DzywtZ3NkDoC1q9a6t1WdRuRHI6QjcGmcPBoQB1hU0+RotLF4486At2jTOZ86cwRdffIEFCxagd+/eKCkp4f5t2rQJFy5cwNKlS+Hn58ddr6ioAABMnToV6enpWLt2LbKzs/H6668jKioKgwcP9vRzOQ3bm/VEMIDeZEZhVV2zRjI+3HM9NXfXhnJrnZ3sPOSX1SLOjY0CWOPsTBT7tXIdGKb5BtwaEa3zSIVzJ1IbAEIVEvhLRR4LQrEeFSmHpFFAYHyYAgwDXPXCznjuonbzO+abuHoD4ewySGu9cP0ZPBkR7U6kNgB0CpZDJBR4rHz5ZVoE+0kQ7ELQpTPEKRUwmCworvZcVLyjtDnnvHfvXgDA8uXLsXz5crt7SUlJMJlMmDlzpt31/v37Y8uWLYiJicGqVauwdOlSfPbZZ0hOTsaaNWsgFPrerqHckptyLfrEBPOaNms4mmvA45T+2HuhiNf8WGxPwXKF6BA/67IRJytcfpkW/eNCXcoTsJZXb7KgpFqPiCDHloA1t4yKJTbUDwazNaCko5NLytrCXeMsEAisnQcPjexb2lbUdvTXtUOAR/Lmi4JyXZMo/PYkjlty45zO1Bot7kqIdD1fpQIVWiMqdUaXvVItwW236+LIVCwSIjrEz6OdB09GarOobHTbKbh9p1HaNM6vvvoqXn31VZczGD58OIYPH+7y772FJ92L+a004KowBTS1BlTVGREk57/ChSgkLqcrFQsRHernlFvbYLLgeoUOU/pFu5QnYL+cymHjzI2umlYodq/tgnIt/8a5rBZCAZzejtGWGA8evKLWaDE6qalBcHX01x5c1WjRMUgOmdgzm084S4BMjPAAmVNu7Rq9CaU1BqjC3Rs5A9ZvPTia3wEE6x1zd2TvqTnxvLJapMS63uF3lHgbb+GtXcI8nl9r+N4Qtp0IklvnSD0xN9na3G+8BzeEcHXDA1tUSudOp7paroWFgVtubZXS+SmGgnItpCIhIgObGl9PrhFVu3BUZGNildZdwvjejKa6zghNrYEzxLaEB0ihkIp8JvilNQrKnT9VzdOonDw8hI85U3c26GkLd+NEAM/NiRvNFlyvqHO7LXOETsFyiIUCn6gXZJxt8FRUr7pMC7nEelRkY+K4rRQ90ylwt1GLc/Jc53w3564AIDrUz+kzh6/Wb7YibGaNJbu0wyO65cHdFhtq3YxGU8vvZjTs8zbXKbSe2f3XOACjQKPzmWAwFmf3gGc73+58K2xd9sToVF2mdatDDVi/M02tAdVORrG3xbVyHcwWxq1RvaN4IyreUcg42+CpqF7boyIbw35wfLsX2Z2h3N1VKT6sfp7LwSh2PhohmViETkFyp3rhBeVaxLRwYpFcIkJkkMxDunX/HTfsYsZv56Gt+XCV0vePjmwtCr89UYX5o7CyzuE94PPcWF7IEiSXINRDR0fmldW6vUypIWKb3+84z4UzsN1BFebvE1t4knG2IbZ+c3m+o3pbO+vXlfkrRyis1MFkcf6oyMZwI3sHT6fKK6uFQipCh4CmXgJniHV2ZNLGecqxHpjX1Rqs25S6651o2P+b3/K1tZROFWaNYjf7wLKRlmgtCr89cXbpkFpTC6W/1O24Ek9sk8nGibjrNo5zYTrKEdyNJHcWdq2zJ888cAQyzjbE1ofRu3pWa3Owm9231oCrwvg/R5Sv49VUTkamqsta9hI4gzPLRqrrjKjQGlt9x2zHi0/cjdRmifXQqWj5mloEycUtLj9RhfnDYLagqKr9l420RGtR+O2JsxHbrp7S1hhnO62OcK1C53acCGAbyMlvW5ZfPy0Y0cy0oCeIq9/zosJDe144ChlnG9iD3PnsmZbVGqA1mFutmJ7YrcndZVQszp7Uks/TkgdVmAI3qvXQGdp2G3LnKbcyuooN9UNhJb9ntfLVAfKXiRHmL+XdHajW6FrVP6fb0vZ34bVEa1H47QkX1etgW5FfpuVldytV/ZnDfB4d2eA2dq98wX4SjxwdmV9mPY3K3Q6/o7C6be8pHzLONrhzIlJLODK6UoX5o6jK8fkrR/O1HhXpXqOmkIrRIVDmUOfBYqk/Eo+HuSFWF46s/20467flZ41RKmBhgOs8ntXKp7stxgPuygKNttXoYPab9IXgl5Yo0LQchd+ehCokCJSJHeq06k1mXK/UuT0yBTxzdKSah/lwFqvHi99OZn6Za2dgu4qvnE5FxtkGT0T1OrKFporbrYnfTkFMqF+LJ8Q4g8rB9YtFVXUwmCy8uO84w+FAp8CR7R094Tou0GgRKBfzsiFEbKgfr2WzBgS2Pp0SFeIHicg3lo20REG5tsUo/PZEIBBYVzI48O6u1s+b87EUyBMDiPwyLS9xIgD/c+Jch9+L0xqxTrQ9noSMsw2eiOple6WtNZKu7jjUGnwso2JxNHqxYXN6fkYIgGON0NVyHQLaOE+5IeiK35EzH/PrgPX7uF7BX3BWUf1hEa11lERCAWJDFbzPEfJJgUbXYhR+exPv4FI0tu7Eu7EBCYsngq7UmlrevuO4MOtud3x9xzeq9dCbLFCFeydSG7DagU7BcnJr+xp8R/WqNVpEBsla3ey+YY6D33z5OpxeFaZAcZW+Tbc728jz4eZV+ksd3nO6oN5L0Frj0inYD2KhgN+OF4/vODZUAaOZ4S04y9H58LgwBfJKfXvkzNc75hvWELU1/8ud0sbDoQ3sd8yncc4r429rzDglv99xHrd5i3e/AVdPxuMTMs6N4DuqN9+BBpydv3JmJ67WYI+K5NM4A2331vPK2Hlu9+cH2T2nHekoObKDlEgoQHSoH28dL/aoSN6MM8/LqdiOUlvlY0d/7b1spDkcicJvT1T1hqit+V/WbRweIHU7T5FQgJhQ/vaw5jNOBLCdjuKnLeNj3wRXUDm5+ZInIOPcCDaq18hTNKQj7mVu/oqvhpnnD5qtuHltRPWqy6zPKhbx81mpwtpeNsIwjMM7SFk3meGn41VcXT+/ztM75ubEeTPO1qMi2zosIk6pQI3exPvuZHzgSBR+e9JwalvrOssvq4UqjL9o47gwf96+E/Y75nPkDPD3HedraiEWCrh4IG+hCvNHSbUetXqTV/O1hYxzI/iM6q0zmlHUwlGRjYkP8+dtztndoyIb4+he1/n1c1d84cjRkaU1BuiMZoeW2sQq/XCV5w4QX88bFWLdspSvzoNao0N0iF+bHSW2UeZzSoUvHInCb0+4pWhtzNnn8xzQFKfkb+TMTmnwdU4yuzc1b+UrswYE8tXhdxRfiNgm49yIhp6f+43ktYr6KE0HeqV8BlLwff5tiEKCQLm41c4DwzDIL+X3WLc4pfXoyBvVLW8KwzbgjhjJmFAFymoNvPSG+dqAhEUqFiIqmMfOg4Pz4ezozxeDwhyJwm9POgbJIRULW60XZguDqxod7/WCPTrSXfiMEwHqj44M9eNtORW7qZG3UXnwzANHIePciIZ9jt1XijMNODt/xceIXV1/wgxfR1AKBALEh/m3Gr1YrjWiWm/ibe4KcGzZiDNegoa10+6/4wKN1u2jIhsTw+NyKkej9WOVzh8y4i0cicJvT4RCgfWYxFbqRWGlDgazhdd6wafrOL9MC4mInzgRFmd292sNhmHq9/z2XqQ2S8MKmvbrtJJxbkTHIDkkIn7cMo4so2JxdP7KoXx5jCJmiWtj/jffA1GV3LKRVt4Ja2gdWW7D7gDHh27zNdr6dcL8VSG+tmZsOCqybV2wh4z4onFm1+p7a2coV2hrdz9PBDTxudY5v0yLmFD+4kSA+u+YB6NWoTWius7k9WAwwLrbWahC0q5BYWScG2ENouEnqletqT8q0oHF/Y7OXzmaLx+7EdmiUlq3DWwpUC7fA41QTKgCAkHbI2fr2cTiNtOL5XHEwcdRkY2JDXVsyVpbOLtzmXUzDd90a/tqpDYL22ltKS4in+fpD9u0+Olk8hsnAljLV641osrNoyM98e6cIS7Mv12XU5Fxbga+onqd2aSCnb9y92MwmS24Vq5DHM9BNPFh/jBZWna755dpIRDwe0ABOw/bmjG1HhXpWJ5h/lIopCJeXMcFHvBOsIFP19yc2nBkVzpbHN1Mw5swDD9Hnnqa+DB/aA3mFg/LySurhUQk4HX6I1AugdJf6rbOGIbhbc9vW/hyuzds3uJ9tzZg3Wuc7wOJnIGMczPwFdXrTAPOzl+5uytNYWUdL0dFNqatXczyNbXoGCRvdbMVV4hVtn7weYFG53CHQCAQ1G8y457xq9WbUFpj4H1Ux9fI3tmAwLgwBUprDKhpx2UjjeGi8H10dzAWtl601KlWl2kRG6rgZRtdW2J52CSjvN5tzLeXjT/j3L4jZ9ZbyOdhOc5AxrkZ+IjqZY+KdGZXID5Op+J7GRVLg9u9BePsoajK1oJLTGYLrlXonGrAY5V+bu9h7kyEuDM07P/tXudBrdFyJwQ5QkNkqu+4thuWUfn2yJmNsWhpKZqnDm3gI+jKE3EigE2HhQfj3Nbuip4kLswfFsZ9T5arkHFuBj6iektr2KMiHTccbc1fOYKn5mkiA+WQiYUtHi9odY/x736KUypQ0sLRkYWVdTBbGKca8Jj67Vndesce6tFHBMogFQvd9to421FStTH6aw881cnkm5hQBYQCNBsAZXUbeybaOE7ph2sV7h0dyRpPPvb8tiVILkGIQuL2QEOtqeU1yt1Z4ts5YpuMczPwca6zK+cptzV/5Wi+1qUR/LoDuWUjzbwTq5tX75kRQn3lbG6emBtdObEONlapQK3BjHI3DlJ3dk7XUYRCAWJC3F9OVaBxbrTmixuROBOF355IxUJEhTQ/9VJWa0BtG2e5u4pK6Q+zm0dH5pVa40QcjdlwBj5G9nll3j2NqjGeOJDIGcg4NwM3Z+JGI+lKA97W/JUjWJef8D/HBdRvp9lM2TwRqc3S2nKqq/Vzx868Y746XkFyMUIU7u+V3BjrfuKue2ysR0U6F0jVEGDkQ25tJ6Lw2xtVmKLZjo0n6wUfy6k8FScCsN+x62XTGkwoqda3yzIqlg4BMiikIjLOvoSSjep1o5FkK40zvVK2l+jOx+DJ5SeqMH/ka2qbuITZRt1Tbm1rHs2PnIUCoFMb+0fbwscmM2onR6bOEKt0b+RcWKlzKSBQ5eDZxN7CmSj89kYV5t+sW5ub0/VEveBhXlfN42lUjYmrP0DI1R0PG5YDtp9bWyAQ1HsAyK3tM7BRvW59+A4cFdkYdv7KnTkOaxCaZ1yBqjAF6oxNt9Pk5mA9UNFDFRIEyMTNG2eNFp2CndsIhI8Rhyc2eWGJDbVuzejqGlFXtxXlIxiRT9R/gTXOLKoW1vU2LC/kvz6ymyW5ozOr29gzxi9OqYDJwqCw0rUBDrfndzuOnNn822u6h4xzC7gb1avWOP/htzZ/5QiVOusRe54yHHEtjOzzed4u1Bb26MjmR846pxu+AJkYSn+py14RS/1eyZ4yHO4up3J1PjwuzB/XK3XQm9zbAIUPTGYLrlfUeayTyTctBdSpNVp0CpJDJubfbWw9OtJ117En40QAxw/LaQluz28PdR4cRVW/B4CFhzMPnIWMcwu4G9XLHp/oLO64Fz0VqMTCHR3ZaGSfX1bL+1pJW1o6hadAo3XpUITYUNc7XkVVdTCYLR4dOQOuH7yS7+KZ2vFhCjAMP/uOuwsXhf8XcWuzyyUb14u8slqPGT/Ave1end1FzlliW4kVcYT8svrlgO28r3qcUgGDyYLiatcD71yFjHMLuBPV68xRkY1Rhfm77NZucGl6xlBGh/hBJBQ0qXCe2GXIFlX9+bW2vdc6oxk3qvUudYBi3AhW4Ro1D71j1hPgaudBrXHtiD1VOy8bseWvssaZRdVCVK/aQ8sLuXzdMM7c7lseKp+7R0d6uk1xFPb9sG52b0LGuQXcieplRx9xYc675Vqav3KEhp2hPOMOtLrd5XZud4PJgusVOo8ueYitPzrSdonZVTfO+o0NVeBahWvBKnwfFdmYYD8JAmVit9zarpQtzgeOyGNho/D/KiNnf5kY4QEyu05rdZ0RZbUGj46c45QKVOqMqHRhAOHJOBHA9uhIF42zxrPeOEdpONfZ+51WMs4t4E5UrzvuZXc2hFBrtFD6SxHogblfFpXSfmR/tVwLCwMPu7Wbzl8VuNGAxyr9YDQzKK5y3lVVoNFCJBQ4FSHuDAKBwDqyd9G97GogVXiAFP7tuGzEFlei8Nsba+BQQ73gllF5cM7UnTbKk3EiLHEueqgMJuv5AO25xpmF9QC0R70g49wCDYE5zjeSzu5tbEtL87qO4I1TfBrPibOjaE+6oJoLRHPH9dkwr+taBygqRM7rUZGNiQ117VS0qjojyl0MCBQIBIhzY0qFT1yJwm9vVI2OVPX0nC7QcoCmI+SXeX73LVfnxK9V6GBh2j9SG7B6AGLbaSXDX+fr9zJcVK8rvdIyLfwkIoeOimyMexXOc0t8WFRh9q40tYfdY4B1rlsoaDxy1kImduw4zsY0jDic73h54x3HKRUoKHc+GJHThYvlU7WwA5y3cSUKv71RKf1RWFnHHffpyQ1IWNxZ65zvwTXOLK5O0XlyfbgrWHdGJLe2T+HqCMaZoyIb09z8lSOYLQyueXjuF7CZm6z/WPPKaqGQutYRcRSpWIhOjY6OLNDoEBPqB6ELO6FFhcjbPCe6JQqcPMzEFWKV1vXkzm7j6m60vipcgasa1zeO4Au1i1H47Qlr6FgdqDW1Hp9iCpCJEebC0ZFGM+PxOBGg9d39WsMbXgdnYL2F7uzH7wpknFvB1ahed93L8WHOHx1ZUmuC2QNHRTaG3SSfXZivLnO9I+IMjffqLSh3/R3LxCJ0CpI7fcCE1mixBvl4+B2zo0Znp1Rc2c/dFpXSHwazxeWNI/hAb7KgpFrv8+c4N6ZxxHZeqedHpoBr22QW1xjr3cae72QCzk8f5ZVqIZcIERHouQ6/M6jC/FFdZ3JrP35XIOPcCq5E9TYcFel6xYwLc36uprDGerylp+ecG3rD1s5DvsY7jVAT4+zm6Cqm3nXsDMXVRq4snoR9LmeXU6k1WoS4EeTjC6dTFXvpO+Yb1tDlcyNn7xza4MoBE4XV1nfs6XrrqttdramFSunv8Q6/ozRsq+xd1zYZ51ZwJaq3os4MndG5oyIbo1L6o6iqYf7KEYpYw+HhCqeQitEhUIb8Mi0s9R0Rb8wNxYU1HB1ZrTejqs7k1rxkbKjzB0ywHSBPG+cYFwPW3O4Uso1QO847F3HG+a815xyqsC6Byy+rhcHM4HqlzitLgeKUCqePjiz0UlvBHh3prHH21BnYrqJyY27fHRwyzmq1GnPmzMGAAQMwbNgwLFu2DHq9dT7s2rVrePzxx5GSkoIxY8Zg//79dr9NS0vDhAkTkJycjBkzZiA/P5//p/AQrkT1NvRKXa+Y8eHsbk3O5GuERCRAxyDPLz+Jr5+DKdOaYTBZvOa+A6wVhBtduTFyjlX6obi6zqntKgu9NHL2k4oQHiBzya3tzogzKsTP7f2a3aW4xvqO/2pzzgKBAKpwa70orjGCYTy7goElTqmA2cLgeoXjA4jCaqPH40RYnN0ohe3w+8IGJCyxSgUEAu9vRNKmcTYYDJgzZw6kUim+/fZbfPTRR/jll1+wcuVKMAyDefPmISQkBNu3b8fkyZOxYMECFBQUAAAKCwsxd+5cTJw4ETt27EB4eDjmzZsHi8X1A8K9iStRvewI1p1Gkm38nfkYiqpNiPXQUZGNiVNaT6dijZU39r+13au3qMb9dxwbau0AXXNKtyavbSno7OlUZgvj9tpQkdB64Et7LqcqqjZZo/B9ZL7RGVRK6z7M3nIbA665jq9Xm7wSJwI4v5yqTGuG3mTxiQ1IWOQSEToGyb0esd2mcT579izUajWWLl2Krl27YuDAgXj22Wexe/dupKWlITc3F++88w66deuG2bNno1+/fti+fTsAYOvWrUhISMCsWbPQrVs3vP/++ygsLERaWprHH4wP2Khep0bO9aM6dw6Jbzx/5QhFNUavzdOpwhQortIjt9zA/e1pbDciKarmY+TsQserxnOHijQmNtS5OfFSrcmloyIbE9fOR0cW1xgRE+rnM/ONzhAXpsDVci2uVlrrhaej+q15OG+cC6uNXouEjlMqcK3ccbd7Q4ffd0bOQP3cvpfrRZvGuUuXLli3bh38/Rs+NIFAAIPBgPT0dPTq1QsBAQHcvdTUVJw5cwYAkJ6ejgEDBnD3/Pz8kJSUhNOnT/P4CJ5DJrb2mJxpJIuqjW4fYB6qkCBQLm72jNiWKKzvDXsDtmKfvq6DROT8IQuuEKJo2NayuMaEQLnYrRFsQ0S0c1MWXjPOSj9cr6hzOBiRHa25W774+lN4vL1shKWoxvSXCwZjiQ9TwGhmcLaoDv5SEcIDpB7PMzJIDqlI6LBxtlgYFFWbPLrnty0NR0c65nZnjbO3yuco8WH+Xj86sk3jrFQqMWTIEO5vi8WCzZs3IzU1FSUlJYiIiLCTDwsLQ1FREQC0eL+4uJiPsnuF2FAFt9evIxTx0IALBAKnzhGt1BpRY/DcSUmNYUf2Z4t0iAlVOH3IgivYHh1ZVGN0e04yMtDaqDna8TJbGBR70TsRG2qdSyzVmhyS52M6BbA2pjV6Eyrr2mfqqbjG9Jebb2ZhR8pni6zBYN4Y/VuPjnR8P4aiqjoYLYzXAq7YNsnR8hVWmyAWChDlY1u3xoUpUFqjh87ovXohdvYHS5cuRWZmJrZv346NGzdCIrEfvUilUhiN1oZCp9NBKpU2uW8wGJpNOzMz09nitEhdXZ1D6bUlFyQy4HShDnV1cofSK6w2oF+guE3ZtvINFZuRXVSBujpJm2lll1mD8wRaDTIzW9+4wpH30paMvs4aRKUzMQiTWdxOz1G5UIkJWYXlsFgYxIcK3M63g78IF/KKcU/H4DbTKqk1wWQBJIZKrzwvU2PtEOaXaR1K62pFHUQCoLIwDzXFLRuFtsom1DZsLhPCg86ckavWm1FjsEBqrPbaN8VnWsZaa0dKZ2KglJi8lq9SZsGla2Wo6xXeZnpni6zflaCmFJmZrRtMPspnqI8POXrhCu6Ik7aZ3tWKOnTwFyHr8iWPl80ZOXFdDQDrcio/Hu1UazhsnBmGwXvvvYctW7bgk08+Qffu3SGTyVBTU2MnZzAYIJdbez0ymayJITYYDAgJCWk2j8TERCeL3zKZmZkOpdeWXO9rIvyakwWhRNZmenVGM8p0OejbJQqJid3dyrdPvgBpV3Mgkbadb87ZQgDXMKRvDyRGBbmVryMyDMMgaNc1VNWZkBQX4XZ6jsol5QLHD+cBDIOxKZFu59v1SDXKa63fa1tpVVwpA6DGoF5dkdg93K18HZELiNQC+wpRbhA4lFbJ/mLEKBXondTLrbJJwmqA34qh0TuWL1+6BYDz1yoB5GNAYjwSEzt5LV++0uppYSDdeRUGkwW9O3f0Wr6Jl8zYdeaaQ9/x2Ro1gELc3i+xTS8LH+XrYWEg/u9VGGTBkMuZNtO78f+uonunUK+9O0flzEGVwP4bKNMLebVTJ0+ebPGeQ/5Ii8WCRYsW4dtvv8XKlSsxcuRIAEBkZCRKSkrsZEtLS9GhQweH7v8VYKN6b9S0vTsMu/SJD/eyqn7+qqS2bbemuztDOYvV7e5fn6f35obYg88NZoYX93JsqOMR0axbzluBNJ2C5RAJBVzwW1vwNR8eq/SDQABcr/bubkhAwzuO+Yu6tYVCAacDb6xgYFGFKVBVZ0K1vu1lgXllWoiF1mVz3oB1uzsyJ84wDK5XmXwuGAxoaFsLvVgvHDLOy5Ytw+7du7Fq1SqMGjWKu56cnIyLFy9Cq2148SdPnkRKSgp3/9SpU9w9nU6HjIwM7v5fAdYIsGtrW8Od06gaw85fOfIxqDVaBMuFCJA5PUvhMuzH6s2KZGt8+JiXjFUqUKE1otbQ9jySWlN/jKEXgt8A62k4nYLl3KYcbcFXJDm7tWmhg50CPnHnpDFfga0P3twXmn1fjnwr6jItIgMkXllyyeLoFqMVWiNqjd7ZN8FZguQShCokvmWcz5w5gy+++AILFixA7969UVJSwv0bOHAgoqKisHDhQmRlZWHdunVIT0/H/fffDwCYOnUq0tPTsXbtWmRnZ+P1119HVFQUBg8e7PEH4ws2qtfRDx/gZ+TM7mG9N6sah6+UQmdouVdcoNGiY4Dn197awm4SwJbTG9gZZx52kGINfLEDXhG1RosIf7FXgt9YYkMVDpWtUmdEtZ6/gEBVmD8ybtThh/TrLp157SoFGh0CpEIE+3n3W+YT1qPkTQPD6r2oFcNRWKnDrjPXcFpdjk6B3uvEA21vMWoyW5BeUIF1f+YA8J3TqBqjCvPHdS92WtvU0t69ewEAy5cvx/Lly+3uXbhwAWvWrMHrr7+OKVOmIC4uDqtXr0ZMTAwAICYmBqtWrcLSpUvx2WefITk5GWvWrIFQ+NfZNZSN6i1yqAHXQSYW8LKEIjJQjtu6heNAdin2rz8KiUiAvjEhGNhZiYGdlUhVhXJ7KKs1WnQJ9m6Fu7tXR5zKLvRqRYqqPzrSwvDj+nSq46XRolOgd41GrNIPFwsr2pRz9zSqxozt0xHv/0+DBVusSx5VYQoMjLd+d4M6h9W7vvkfeRWUaxEZ4N3vmG9GJ0Ui+9oNdAr23vaj7MiZ9XYwDIP8Mi2O5WpwNFeDY3ll3G5zATIx7u8V4rWyAdbvskJrRE39AKPOaMbZq5U4lluGo7kanMovR239vbhgCZJjg71aPke5/5YYZOdf91p+bdaEV199Fa+++mqL91UqFTZv3tzi/eHDh2P48OGulc4HEAoFiA71Q1apHgezSluVPXetAp0CxLw0XEKhAJufHITj6edRI4uwVrLcMqw/kIO1f1yBUAAkdgrCwM5KXKvQYUi0dz/olNgQLB7RERIvjiTZoyO1eoNb68hZ2JHzmeu6NnWbV1aLwTHeXd4RG6pAuc6MPy7dgLiVDu3J/HKrPE/GecbgePQL0oIJjsbR3DIcy9Xg58xibDt5FQDQMUiOAfWdRGGtFmXi1t8dAKivty2XfaMGKi+P6vhmUJcwBA2P9KrbmD068rC6Fk9/cwrHczW4UW1dtaH0l2JgvBKPDemMgZ2VSOwUhMuXLnqtbEBDp3H9cQ3+78gRnCmogKF+U5KEjoGYmhpjHXTEK1F2LRcRgb61jIrl4UEqZAZ5b63zX7smeInuEQHYl1GMRzYcbVN2WDy/I8kAqQgDEiJwZ4J1vbjOYMZpdXm9sdbgm6NqmC0M4kM9v+GBL5DYKQiayipe0gpRSBAeIMXuS1XYfalt3apCWo+E55vukYEAgJkbj7cpKxby60oVCQVIjAlGn5hgPHl7F1gsDLJLarjv7mhOGXans6OIIgdTbVvu9tgQV4v8t6Znx0AcvlKGSkM5BncNq/dyKNG1Q0C777bWo6P1O/7lSjX6RAfj0SEqDOwchgHxoQhR2LdbZdfao4S+CRlnB/i/+5Nx99HziI9XtSkrqCz0aFn8pCIM6RaOId2sy3kMJgvyy2qhLy3waL6+wooHknHpUutrIB1FIBBg1/zbcPjMxTZ1KxIKIKn2rG4bM6pXJD4ZF42o2Lg2ZSuLryLQxaMiHUEoFKBHZCB6RAZixq0q7mjUY+cuO1Qv8vLy25QTCgCxl9/xzcKah/vjzIWLGH5Ln3Y3xo3p2iEAv704HOWF+Ujtm9TexfnLQMbZAYL9JOgdKUdivLJN2cxM7+5+JhUL0T0yEJka36qQniJILkGA1H2XNkt0iJ8TunV0hMgPQqEAPcJljpVN593vjl1Op3Xw3QXoin2y/twshCikiAyQ+JxhZunSIQCZpX+dWCNfgN4WQRAEQfgYZJwJgiAIwscg40wQBEEQPgYZZ4IgCILwMcg4EwRBEISPQcaZIAiCIHwMMs4EQRAE4WOQcSYIgiAIH4OMM0EQBEH4GGScCYIgCMLHIONMEARBED4GGWeCIAiC8DHIOBMEQRCEj0HGmSAIgiB8DDLOBEEQBOFjkHEmCIIgCB+DjDNBEARB+BhknAmCIAjCxyDjTBAEQRA+BhlngiAIgvAxyDgTBEEQhI9BxpkgCIIgfAwyzgRBEAThY5BxJgiCIAgfg4wzQRAEQfgYZJwJgiAIwscg40wQBEEQPgYZZ4IgCILwMcg4EwRBEISPQcaZIAiCIHwMMs4EQRAE4WOQcSYIgiAIH4OMM0EQBEH4GE4ZZ4PBgPHjx+Pw4cPctcuXL+ORRx5Bv379MHr0aPzwww92v0lLS8OECROQnJyMGTNmID8/n5+SEwRBEMRNisPGWa/X44UXXkBWVhZ3zWAwYM6cOUhISMCuXbswa9YsvPbaa0hPTwcAFBYWYu7cuZg4cSJ27NiB8PBwzJs3DxaLhf8nIQiCIIibBIeMc3Z2NqZNmwa1Wt3k+rVr17BgwQLExcXhvvvuQ8+ePXH06FEAwNatW5GQkIBZs2ahW7dueP/991FYWIi0tDT+n4QgCIIgbhIcMs4nTpzA0KFD8d1339ldDw4OhkAgwPbt22GxWHD69Gnk5OQgKSkJAJCeno4BAwZw8n5+fkhKSsLp06d5fASCIAiCuLkQOyI0ffr0Zq9HR0fj+eefx4oVK/DRRx/BbDZj3rx5GDp0KACgpKQEERERdr8JCwtDcXGxm8UmCIIgiJsXAcMwjDM/6NmzJzZu3IghQ4bAZDLhzTffhFQqxf3334+MjAwsXboUH3zwAUaNGoWRI0di9uzZmDZtGvf7V155BUKhEMuWLbNL9+TJk1AoFPw8FYC6ujrI5XKSc0HOl8v2d5Pz5bLdLHK+XLa/m5wvl80ZOUfRarVITU1t/ibjJD169GAOHTrEMAzDbN++nRk1ahRjNpu5+5988gkzbtw4hmEYZuzYscxXX31l9/tnn32Weeutt5qke+LECWeL0ioZGRkk56KcL5ft7ybny2W7WeR8uWx/NzlfLpszco7Smt1za53zuXPn0K1bNwiFDckkJSWhoKAAABAZGYmSkhK735SWlqJDhw7uZEsQBEEQNzVuGeeIiAhcvnzZ7tqVK1cQFxcHAEhOTsapU6e4ezqdDhkZGUhJSXEnW4IgCIK4qXHLON97770oLS3F+++/D7VajX379mH9+vV49NFHAQBTp05Feno61q5di+zsbLz++uuIiorC4MGDeSk8QRAEQdyMuGWco6OjsWnTJpw/fx733nsvli9fjueffx733XcfACAmJgarVq3Crl27MHXqVJSWlmLNmjV2bnCCIAiCIOxxaCmVLZcuXbL7Ozk5Gd98802L8sOHD8fw4cOdLxlBEARB/E2hISxBEARB+BhknAmCIAjCxyDjTBAEQRA+BhlngiAIgvAxyDgTBEEQhI9BxpkgCIIgfAwyzgRBEAThY5BxJgiC+JuycOFCvPTSSx5Je9u2bRgxYoRH0rbFZDJh/vz56NOnD15++WWP5+ctnN6EhCAIgrg5eP3119u7CG7zxx9/4I8//sB3332HTp06tXdxeIOMM0EQxN+UwMDA9i6C21RXVyM0NBRJSUntXRReIbc2QRDETcTVq1fRs2dP/PrrrxgxYgT69euHZcuW4dKlS5gyZQoeeOABzJkzB1qt1s6tvWrVKjz//PN45513kJqailmzZuHf//63w/kWFxfjySefREpKCqZMmYKrV6/a3T9+/DgmT56MPn36IDU1Fc899xxqampgMBhwyy234Mcff+RkLRYLbr/9duzbtw8A8Pvvv2Py5Mno27cvxowZg0OHDnFlXrhwIW7cuIGePXti3bp1SExMtDuqOCcnB7169UJZWRkYhsGaNWtw++23IzU1FU888QTy8vI42StXruDJJ59Ev3790KdPHzz44IPIysoCABw9ehRPPPEE935WrVrlnGKchIwzQRDETcj69euxZs0avP3229i4cSMWLFiAl19+GYsXL8bx48exY8eOJr/5+eefIRKJsG3bNowaNQorVqxAdna2Q/k9++yzsFgs2LZtG5588kl8+eWX3L2CggJ88MEHmD59On766Sd88sknSEtLw5YtWyCVSnH33Xdjz549nPzJkyeh1WoxfPhwHDlyBM888wzuvfde7Nq1Cw888ABWrFiBs2fP4vHHH8eiRYvQoUMHHDx4EDNnzkR0dDT27t3LpfXjjz9i8ODBCAsLw+bNm7Fr1y58+OGH2Lp1K1QqFWbOnAm9Xg+GYTBv3jxERUVh165d+Pbbb2GxWPDhhx9yaZWVlaGmpgb//e9/MXnyZFfU4jDk1iYIgnCQHSevYuuJglZltFotFAcq2kzLUbnbokVITHSwgDbMnTsXCQkJSEhIwPvvv49x48Zh8ODByMzMxMCBA5GTk9PkN4GBgVi4cCFEIhHuv/9+/O9//8P58+fRrVu3VvPKysrC6dOn8euvvyImJgbdu3fHuXPnOCNpNpvx5JNP4oEHHgBgPbFwyJAhnOGfMGEC5s6di8ceewyA1aDefffdkMlk+PrrrzFy5EjMnDkTANC5c2f8+eef+Pzzz/Hpp58iMDAQQqEQHTp0AACMGzcOe/bswSOPPAIA+Omnn/DEE08AAD7//HO88cYb3LHFb775Jvbv34/Dhw+jR48euO+++/DQQw/B398fADB58uQm3oMnn3wScXFxzinDBcg4EwRB3ITExMRw/y+TyRAVFcX9LZfLYTAYmvwmOjoaIpGI+9vf3x9Go7HNvLKzsxEQEGCXZ+/evTnjHB8fj9TUVKxduxZZWVnIyspCdnY2xo0bBwC49dZbERgYiBMnTqBv377Yt28fli1bBsDqap42bZpdfgkJCdi/f3+zZZkwYQLWrVuHGzduID8/H2q1GnfffTdqa2tRVFSEl156ye7YYr1ej+vXr0OhUOChhx7Crl27cP78eeTk5CAjIwMhISFN3pE3IONMEAThIFNTYzA1NaZVmczMTCQ6MNR1Rs4VxGL75t3WILWERCJxKS8AYBimxfwvXryIZ555BnfddRdSU1Mxc+ZMfPHFF3ZlGzNmDA4fPow+ffrAYrFwo1uZTNYkL4vFArPZ3Gw5unXrhh49euDnn3/GpUuXMHz4cAQGBqKqqgoAsGLFiiaegKKiItTW1uK+++5DcHAwRo4cifHjxyMnJwfr1q2zk22uPJ6AjDNBEAThFj169EBtbS1ycnLQpUsXAEBGRgZ3f9euXUhISMCKFSu4a/n5+VCpVNzf48ePx6OPPopffvkF99xzD2fcu3btivT0dLv8Ll68iM6dO7dYnnHjxuG3335DYWEhnnnmGQBAUFAQwsLCUFJSgrvuuguA1d3+wgsvYPDgwdBqtSgqKsIPP/zAdVIOHjzYpNPhLSggjCAIgnCLrl274tZbb8WiRYtw8eJF/PLLL9iyZQt3PyQkBGq1Gunp6cjLy8OyZctw7tw5O5d5cnIygoODsXXrVs7dDQAzZ87Ezz//jE2bNiEvLw+bNm1CWloaHn744RbLM378eBw/fhyFhYW488477dL65JNP8MsvvyA/Px9LlizB4cOHERsbi5CQEOh0Ovz888+4evUqtm3bhq+//rpZ9783oJEzQRAE4TYff/wx3nzzTUyfPh3R0dGYMWMG/vvf/wIAZsyYgbS0NDz22GOQSqUYMGAA5s+fjx9++MEujdtuuw2HDh1Camoqd61Pnz746KOP8Omnn+Kjjz5C586d8fLLL2Po0KEtliUqKgq9evVCUFAQ5HI5d/2JJ56ATqfDkiVLUFVVhcTERGzYsAESiQSJiYmYP38+3n33Xej1evTo0QNvvfUWXnvtNVy/fp3nt9U2ZJwJgiBuImJiYnDp0iW7awcOHLD7e+XKlU1+98wzz3AuYJbffvvN4XxDQ0OxevXqJmkCgEKhwCuvvNJkjr1xfuXl5Rg3bhwEAoHd9TFjxmDMmDHc37bz8FOmTMGUKVOalKe0tBTjx4+3uyYSifDss8/i2WeftbvOpjd//nzMnz/f7h6bdlRUFHbu3NlkLt9TkHEmCIIg2pWzZ8/iwoULOHTokNt7fe/fvx9HjhyBxWJBSkoKPwVsB8g4EwRBEK0yZcoU5ObmNnvPYrHg448/tpvbdRZ23fIDDzzABZS5yqZNm3D58mV89NFHdsvC/mqQcSYIgiBaZfXq1S2ud75y5QoGDRrkVvpPP/00nn76aZeXjdmyceNG7v/5SK+9IONMEARBtIrtBiaN0Wq1UCgUXizN3wNaSkUQBEEQPgYZZ4IgCILwMcg4EwRBEISPQcaZIAiCIHwMMs4EQRAE4WOQcSYIgiA8ztdff40ZM2Z4PJ+amho89NBD6NOnD77++muP5+cpaCkVQRAEcdOwfft25OfnY+fOnSgrK2vv4rgMGWeCIAjipqGmpgaxsbHo2rVru50oxQfk1iYIgriJuHr1Knr27Ilff/0VI0aMQL9+/bBs2TJcunQJU6ZMwQMPPIA5c+ZAq9XCaDTigw8+wLBhw5CUlIQ777wT33zzDQCgoKAAvXv3xrZt2wAARqMREydOxGuvveZQObKzs/Hggw8iOTkZjz32GKqrq+3u79ixA2PGjEHv3r0xaNAgvPXWWzCbzSguLkZiYiLOnj3LydbU1KBPnz64cOECAODXX3/F2LFj0bdvX0yZMgVHjx4FACxcuBCrVq3C6dOn0bNnT+zYsQMDBgywM9IHDhzAoEGDYDQaYTAY8N577+Ef//gHBg0ahGeffRalpaWc7OnTp/HQQw8hOTkZKSkpWLJkCYqLiwEA33//PaZNm4YFCxYgNTWVe098QcaZIAjiJmT9+vVYs2YN3n77bWzcuBELFizAyy+/jMWLF+P48ePYsWMH1q9fj99++w2ffvop9uzZg8mTJ+Of//wniouLERsbizlz5mDFihWoqqrC+vXrUV5e7pBxNhgMmD17NmJiYvD9999j5MiR2LdvH3f/xIkTWLJkCZ5//nns3bsXS5Yswffff48jR44gMjISAwYMwE8//cTJ//LLL4iKikJSUhK+//57rFu3DrNnz8auXbswdOhQzJ49G9evX8frr7+Oxx9/HH379sXBgwcxbtw4mEwmHDp0iEvrp59+wujRoyGRSLBixQqcOXMGb7zxBr766iswDIOnnnoKDMOgpqYGTz31FIYMGYL/9//+HzZs2IDi4mKsXbuWSys9PR0qlQrbtm1za2/x5iC3NkEQhKOc2QKc3tyqSJy2FkjzbzMpR+WCI0cAjY5adIS5c+ciISEBCQkJeP/99zFu3DgMHjwYmZmZGDhwIHJycjB06FC899573OlNc+bMwb/+9S/k5uYiODgYs2fPxk8//YQ33ngDv//+O1atWoWgoKA28z58+DDKy8vx9ttvw9/fH127dsXPP/8Ms9kMAJDL5XjvvfcwatQoAEB0dDQ2btyIgoICAMCECROwdu1avPrqqwCAH3/8kTv+8auvvsLYsWMxadIkAMCLL76IY8eO4auvvsKrr74KhUIBsViMDh06oLS0FHfddRf27NmDO++8EwaDAb/88gtWr14NnU6HzZs3Y+vWrRAIBOjRowc+/PBDDBo0CCdPnoRKpcJTTz2Fxx9/HAKBALGxsRg8eDCys7PtnvWpp55CQECA0/ppCzLOBEEQNyExMTHc/8tkMrv9seVyOQwGA0aOHIlDhw5h2bJlyMnJQUZGBgDrSVMAIJVKsWTJEjz88MO45557cMcddziUd3Z2NmJjY+Hv39D56NatG3fOdO/evSGXy/Hpp58iOzsbly5dQn5+Prp37w4AGD16NJYsWYL09HTEx8fj8OHDnKG+cuUKJkyYYJdfSkoKcnJymi3LhAkT8OKLL8JgMODQoUOQy+UYMGAAsrOzYTQa8fDDD8NisUAotDqS9Xo9cnNzccstt2Dy5MnYtGkTMjMzkZ2djYsXLyI5OZlLOyQkxCOGGSDjTBAE4TgpD1r/tYI6MxOJDox0HZWrzMxEy8dOtIxYbN+8s8bHlpUrV+K7777D1KlTce+99+Ktt97CiBEj7GQuXboEkUiEc+fOOXXIBcMwdn/bHt/4559/Yt68eZg0aRJuv/12PP3001iyZAl3PygoCMOGDcOePXvQrVs3dO/eHV27dgVg7Vg0xmw2c6PyxgwdOhRisRiHDx/Gnj17MHbsWAiFQk7+q6++wo0bN7j0AUCpVKK4uBhTp05FYmIibrvtNkybNg07duxAXl4eJyeTyRx6F67g1JyzwWDA+PHjcfjwYe5acXEx5s2bh5SUFNxxxx1N1pWlpaVhwoQJSE5OxowZM5Cfn89PyQmCIAi3+Pbbb/HGG2/g5Zdfxrhx46DT6QA0GNbi4mKsWLEC7733HqRSKT7++GOH0u3evTvUajUqKyu5a7bnQW/btg2TJ0/Gu+++i/vvvx9du3aFWq22M+jjx4/H77//jv3792PcuHHc9S5duuDy5ct2+aWnp6Nz587NlkUsFmP06NH49ddf8eeff3JpxcbGQiQSoby8HJ06dYJKpYJSqcTSpUtx7do1/Pzzz/D398f69evx6KOP4pZbbkFRUVGTToencNg46/V6vPDCC8jKyuKuWSwWzJ07F3q9Hjt27MBLL72EpUuXcpPvhYWFmDt3LiZOnIgdO3YgPDwc8+bN41wmBEEQRPsREhKC33//HQUFBTh58iReeeUVAOCim5csWYJevXph8uTJWLx4MTZv3mwXRd0SQ4YMQVRUFBYtWoTs7Gxs377dblAXEhKC06dP4+LFi8jKysLChQtRUlJid2b0iBEjUFxcjP3792Ps2LHc9cceeww//fQTdu7cidzcXCxfvhyZmZmYNm1ai+WZMGECdu3aBX9/f/Tt2xcAEBAQgPvvvx/vvvsuzp49iytXruDVV1/F5cuXER8fj5CQENy4cQOHDh1CQUEB1q1bh7S0NK8tz3LIrZ2dnY0XX3yxSY/hzz//RF5eHv7zn/8gJCQEXbt2xbFjx3D69GkMHToUW7duRUJCAmbNmgUAeP/99zF06FCkpaVhyJAh/D8NQRAE4TDvv/8+3n77bYwbNw4RERGYNm0aJBIJMjIykJOTgwMHDmDnzp0ArAZ31KhReOONN/D99983cZvbIpFIsG7dOrzxxhuYMmUKEhISMGbMGBQVFQEA5s+fj9deew3Tp09HQEAAbr/9djz88MN2hl8ul2PEiBEoLCy0my8fPXo0zp07h08//RQlJSVITEzExo0bufnq5khNTUVoaKjdCBwAXnvtNXz44Yf46KOPYDKZ0L9/f2zYsAFyuRxjxozB8ePH8dxzzwEA+vTpg8cffxzffPMN6urqnH3VTuOQcT5x4gSGDh2KZ555hovqA6wu60GDBiEkJIS79s4773D/n56ejgEDBnB/+/n5ISkpCadPnybjTBAE4QFiYmK4wCuWAwcO2P29cuVK7v93795td2/27NkAgMzMTDzxxBN29xx1awNWt/EXX3zB/Z1pM8ceERGBDRs2NPlNZmam3d8lJSVclLYt48aNw0svvdRsvs888wyeeeYZu2t1dXWoqqpqEkgml8uxePFi3H///U3m/0UiEZYsWWI3F56ZmYmXX34ZADBlyhRMmTKl2TLwgUPGefr06c1eV6vViIqKwsqVK7Fz504EBARg5syZuP/++wFYX2xERITdb8LCwrhF3ARBEATRmKNHjyI9PR0XLlzA6tWr3Uprz549+O2335CQkGAX9OXrCBgnZ7d79uyJjRs3YsiQIZg5cybOnz+PUaNG4aGHHkJGRgbeffddrFy5EiNHjsTIkSMxe/Zsu7mAV155BUKhEMuWLbNL9+TJkw5HATpCXV1ds1F9JNe2nC+X7e8m58tlu1nkfLlsvio3Y8YMbn6YYRgIBAK7+8uWLUN8fLzT+bIy//rXv3D48GHMnj0bw4cPd+sZXnjhBZjNZrz22mtNyuRKeo7IOYpWq0VqamrzNxkn6dGjB3Po0CGGYRjm8ccfZ+68807GZDJx95csWcI8/vjjDMMwzNixY5mvvvrK7vfPPvss89ZbbzVJ98SJE84WpVUyMjJIzkU5Xy7b303Ol8t2s8j5ctl8VU6tVjN5eXlMXl4e8+uvv3L/z/7T6/Uu5euLz+qKnKO0ZvfcWuccEREBi8Vit36tc+fOOHLkCAAgMjISJSUldr8pLS1tdeKeIAiC8G1iY2O5/9dqtVCpVO1YmpsTt/bW7tevHy5fvmwX/p6dnY3o6GgAQHJyMk6dOsXd0+l0yMjIsAsqIwiCIAjCHreM89ixYyEWi/HGG28gNzcXu3btwvfff4+HHnoIADB16lSkp6dj7dq1yM7Oxuuvv46oqCgMHjyYl8ITBEEQxM2IW8Y5ICAAGzduRHFxMSZOnIhPPvkEixcv5rZ/i4mJwapVq7Br1y5MnToVpaWlWLNmTbPbyBEEQRAEYcXpOefG6+e6dOmCTZs2tSg/fPjwZqPtCIIgCIJoHhrCEgRBEISPQcaZIAiCIHwMMs4EQRAE4WOQcSYIgiAIH4OMM0EQBEH4GGScCYIgCMLHIONMEARBED4GGWeCIAiC8DHIOBMEQRCEj0HGmSAIgiB8DDLOBEEQBOFjkHEmCIIgCB+DjDNBEARB+BhknAmCIAjCxyDjTBAEQRA+BhlngiAIgvAxyDgTBEEQhI9BxpkgCIIgfAwyzgRBEAThY5BxJgiCIAgfg4wzQRAEQfgYZJwJgiAIwscg40wQBEEQPgYZZ4IgCILwMcg4EwRBEISPQcaZIAiCIHwMMs4EQRAE4WOQcSYIgiAIH4OMM0EQBEH4GGScCYIgCMLHIONMEARBED4GGWeCIAiC8DHIOBMEQRCEj0HGmSAIgiB8DDLOBEEQBOFjOGWcDQYDxo8fj8OHDzd7b9y4cVi1apXd9bS0NEyYMAHJycmYMWMG8vPz3SsxQRAEQdzkOGyc9Xo9XnjhBWRlZTV7f+3atcjOzra7VlhYiLlz52LixInYsWMHwsPDMW/ePFgsFvdKTRAEQRA3MQ4Z5+zsbEybNg1qtbrZ+xcvXsS2bdvQpUsXu+tbt25FQkICZs2ahW7duuH9999HYWEh0tLS3C85QRAEQdykOGScT5w4gaFDh+K7775rcs9sNmPRokV46aWXEBISYncvPT0dAwYM4P728/NDUlISTp8+7V6pCYIgCOImRuyI0PTp01u8t2HDBoSGhmLSpElNjHdJSQkiIiLsroWFhaG4uNiFohIEQRDE3wOHjHNL5ObmYsOGDdixY0ez93U6HaRSqd01qVQKg8HgTrYEQRAEcVMjYBiGceYHPXv2xMaNGzF48GA8/PDDGDVqFGbOnAkAePDBBzFkyBA888wzAIBx48bhwQcfxCOPPML9/rnnnkNISAjefvttu3RPnjwJhULh3tPYUFdXB7lcTnIuyPly2f5ucr5ctptFzpfL9neT8+WyOSPnKFqtFqmpqc3fZJykR48ezKFDh5irV68yPXr0YJKTk5mUlBQmJSWFSUhIYJKSkpgnnniCYRiGeeyxx5gVK1bY/f7hhx9mVq9e3STdEydOOFuUVsnIyCA5F+V8uWx/NzlfLtvNIufLZfu7yfly2ZyRc5TW7J7Lbu3IyEjs27fP7trzzz+P/v37Y9asWQCA5ORknDhxgruv0+mQkZGBuXPnupotQRAEQdz0uGycxWIxVCqV3TWZTIbg4GBERkYCAKZOnYoNGzZg7dq1uPvuu7FmzRpERUVh8ODB7pWaIAiCIG5iPLp9Z0xMDFatWoVdu3Zh6tSpKC0txZo1ayAU0q6hBEEQBNESTo+cL1261OK9LVu2NLk2fPhwDB8+3NlsCIIgCOJvCw1hCYIgCMLHIONMEARBED4GGWeCIAiC8DHIOBMEQRCEj0HGmSAIgiB8DDLOBEEQBOFjkHEmCIIgCB+DjDNBEARB+BhknAmCIAjCxyDjTBAEQRA+BhlngiAIgvAxyDgTBEEQhI9BxpkgCIIgfAwyzgRBEAThY5BxJgiCIAgfg4wzQRAEQfgYZJwJgiAIwscg40wQBEEQPgYZZ4IgCILwMcg4EwRBEISPQcaZIAiCIHwMMs4EQRAE4WOQcSYIgiAIH4OMM0EQBEH4GGScCYIgCMLHIONMEARBED4GGWeCIAiC8DHIOBMEQRCEj0HGmSAIgiB8DDLOBEEQBOFjkHEmCIIgCB+DjDNBEARB+BhknAmCIAjCxyDjTBAEQRA+BhlngiAIgvAxyDgTBEEQhI/hlHE2GAwYP348Dh8+zF07cuQIpk6din79+mH06NHYtm2b3W/S0tIwYcIEJCcnY8aMGcjPz+en5ARBEARxk+Kwcdbr9XjhhReQlZXFXcvLy8NTTz2Fu+++Gzt37sTTTz+Nd955B7/99hsAoLCwEHPnzsXEiROxY8cOhIeHY968ebBYLPw/CUEQBEHcJDhknLOzszFt2jSo1Wq76z/++CMSExMxZ84cqFQqTJw4EZMmTcLu3bsBAFu3bkVCQgJmzZqFbt264f3330dhYSHS0tL4fxKCIAiCuElwyDifOHECQ4cOxXfffWd3fcyYMXjzzTftrgkEAuj1egBAeno6BgwYwN3z8/NDUlISTp8+7W65CYIgCOKmReyI0PTp05u93rlzZ7u/S0tL8b///Q/z588HAJSUlCAiIsJOJiwsDMXFxa6UlSAIgiD+FvAWra3VajF//nxERERwxlyn00EqldrJSaVSGAwGvrIlCIIgiJsOAcMwjDM/6NmzJzZu3IghQ4Zw16qrq/HUU09BrVbjm2++QVxcHABg3LhxePDBB/HII49wss899xxCQkLw9ttv26V78uRJKBQKNx7Fnrq6OsjlcpJzQc6Xy/Z3k/Plst0scr5ctr+bnC+XzRk5R9FqtUhNTW3+JuMkPXr0YA4dOsT9XVZWxkyaNIm57bbbmCtXrtjJPvbYY8yKFSvsrj388MPM6tWrm6R74sQJZ4vSKhkZGSTnopwvl+3vJufLZbtZ5Hy5bH83OV8umzNyjtKa3XPLrW0wGDBnzhyUl5fj66+/RpcuXezuJycn49SpU9zfOp0OGRkZSElJcSdbgiAIgripccs4b9q0CRcuXMDSpUvh5+eHkpISlJSUoKKiAgAwdepUpKenY+3atcjOzsbrr7+OqKgoDB48mI+yEwRBEMRNiUPR2i2xZ88emEwmzJw50+56//79sWXLFsTExGDVqlVYunQpPvvsMyQnJ2PNmjUQCmnXUIIgCIJoCaeN86VLl7j///7779uUHz58OIYPH+5sNgRBEATxt4WGsARBEAThY5BxJgiCIAgfg4wzQRAEQfgYZJwJgiAIwscg40wQBEEQPgYZZ4IgCILwMcg4EwRBEISPQcaZIAiCIHwMMs4EQRAE4WOQcSYIgiAIH4OMM0EQBEH4GGScCYIgCMLHIONMEARBED4GGWeCIAiC8DHIOBMEQRCEj0HGmSAIgiB8DDLOBEEQBOFjkHEmCIIgCB+DjDNBEARB+BhknAmCIAjCxyDjTBAEQRA+BhlngiAIgvAxyDgTBEEQhI9BxpkgCIIgfAwyzgRBEAThY5BxJgiCIAgfQ9zeBWgXdBVAwVEg/xA6FqkBwxhANRgIiWvvkgEMA5RlA/mHgavHEW6QArKJQMwAQOrf3qUDjDrg6gkg/zA65Z8Dau4EVEOBDj0BgaC9SwdUXgPURwD1EURUaQHBBCDuVkChbO+SAWYTUHTWqtsbGVAySiBoMtAxGRD5QFXUagB1mrVe3LgOGMcCqiFAcHR7l8xaL0ovA/mHgGsnEW70A+QTgehbAKmivUsHGLTA1ePWeqG+AGhHWutFWDffqBcVBdbvruAoImrqAOFEIG4Q4Bfa3iUDzEagMB3IP4ROWUeBiqHW7y6yj2/Ui9oyrk0JRCSQmOiVbH3gyb1AzQ3rh8n+Kz4PgAGEEgSJpMCV/1rlgmOtH4VqiPcqlsUMFF+wlktdX77aEus9eQjC9VXAhQ2AUAx0Smkom7cqVl0lUHDM2ijmHwGunQQsRgACBEgDgdzdVjlFGBA3uOH9eaNiMQygybHR7SGgIt96TxqIUJMeuPSN9e+IXg1lixsCBHXybNkAwFhnfV+sXguOAYYa6z1FGCK1ZUD6KkDiD8QOtOpVNQSITgUkcs+Xr6qwoWz5R4AbF6zXRVIECcTAle+tf4eo6ss22PpfZRfv1Iuicw16VR8BtGXWe36hCNdVAOfXA0IJEN2/Qa9xgwB5sGfLBth18JF/GLh+GrCYAIEQAZKAhnrh36G+XrAGJwkQijxbNq6DX19n8w8DlWrrPVkQQo064OLXAARAZO96vda/v8BIz5YNsOvgI/+QtVNj1AIAAmQhQN7/rHLSQKs+2bJF9wfEMs+Xj+3gs7otuWi9LpZDlvAPz+dfj4BhGMZrubXCyZMnkZqayk9iZiOu7VuFaGOe9eWWZVmvSxTWRjCuvpGOuQWZl68gMYyxN961N6zyNhVLrZUiLq7tkbVaXYC4uNjWhSwWFJ//A5G6bOtIRV9pvR4c16hz0BWXzp1ET7+Khg/FxjgiMskqGzsI6pLqtvN1sHxXcy4ixnzV2nAXnQMYi7VzENWvoWyxg5CZex2JHeX2xrE8z5oIW7HiBqPAGIJYVTwvZQMDFGUeQUf9FWueNcXW64qwhkqsGgJ07IOLGeeQEKhtaKQKjjYYx9DOnMFRlxt5e3cw6VF6dh/Cay4D104AZoP1ekS9rlSDuc5B1qk/0V1aUt8xO1LfaQQgkloNtGoICphIxMZ35adsAK5fPo0otl5ocqwXJf4NjaBqKBDVH5mXs5GoNDfoNf9wg3EMiGyoF7ViXuvFjXO/IUKXBaiPAoZq63Wuc1CvW2UXXDp73L5eXD/FGUerwRkKxA6E+kZlm/k6+u6uXsmw1otGHXxWV9a6OBCZOdeQGCFtKJv6MFDRYBwRdyugGgK1PghxKhU/744BijIOoqM+x76D79+hQa+qIUBEL1y8cBYJgbUNui04xhlHKLtyz6LW6PmrF8Y6lJ7dW18vbNuw3jZt3hBkFpQhMTrYvj0uybSmIZJZPYiqISiwhPNbLy6dQpQht0kH36qr+s5VVD9kZuUgkceRc2t27+Y0zqc3A7uetvagudHcUKBTMiCS2IlmZmbav2yGAcquNFQs214n34T3sDEozbvVm5TPqLN+3M1VLD4Ry+srwlCuI9PYrd6kbECjXueRhorFN0HR9h2Z8B5NRnNNymfrVmYbTV0570VjBCIIolIaRkwtuNWblE+raTQaOwMwZt7LB7/Qhm9ONaRZt3qz9aL0sn1HrOoa/2UDgA4JNh6iwc261ZuUz8atDPVhoOA4YNLxXzaJomm9kPi1XjbA6la2HY2VXua/bIBNB39wi96/pvXCCBSete9M1FXyXjRGIIKA9XLUd/DhF9J62YAGtzJbtsJ064CBbzjvH+vl6N12vXCT1uzezenWTn4Q2aZIdEu9CxA6GfMmEADh3az/Uh+1XqsoQN65I4iPj2/z53l5eQ7JXS41oEe/25wrG2BtCOJvs/4DrBXrRibysi/yVr5c9TV0HjQOEEudL19wNNDnPus/AKgtQ96pX3l9d9nF1eiWOsJ516pIbHWNRfcHhswHLBagLAt5F9P5K59AhEsaIKGvCx1NhRLoOcb6DwD0Ncg9vgedVW2PTB19d1eulaLrwHtcqxcdelr/3fKY1VhXqJF3/ijP9cKEHv2GOFc2wDrv3GW49R8AmAzAjQzkXbncZr6Oli2n4Dq6DBrXpIPvECGx1n99p1n/rilB3unfeX13WcU16H7LCOfLJpIAManWf0MXWOtF6SXkXTrHb70oFyChT3/ny+cfBiSOt/4DgLoq5J7Yi84OeB0crhfXy6z1whfiA+q5OY2zUARjQIzzDVBLhMRCF14DxLbdY9LVBDokZ67haUQpkgCd+kJXIeGtfHU1ma4Z5ubwD4MuvA+v785Yk8lPJRIKgQ49oSu18Fo+ppon3coCUBeWxGvZDDWZ/NQLgQAIVUEXrvXNeiGWAlEp0FXK2szX0bLpazJdM8zNEdCB93ph4uvdCYVARCJ0ZfDNeiEPQl1Yb/7rhQ8ZZoCWUhEEQRCEz0HGmSAIgiB8DDLOBEEQBOFjkHEmCIIgCB/DKeNsMBgwfvx4HD58mLt27do1PP7440hJScGYMWOwf/9+u9+kpaVhwoQJSE5OxowZM5Cfn89PyQmCIAjiJsVh46zX6/HCCy8gKyuLu8YwDObNm4eQkBBs374dkydPxoIFC1BQUAAAKCwsxNy5czFx4kTs2LED4eHhmDdvHiwWD6xRIwiCIIibBIeMc3Z2NqZNmwa12n4zjrS0NOTm5uKdd95Bt27dMHv2bPTr1w/bt28HAGzduhUJCQmYNWsWunXrhvfffx+FhYVIS0vj/0kIgiAI4ibBIeN84sQJDB06FN99953d9fT0dPTq1QsBAQHctdTUVJw5c4a7P2DAAO6en58fkpKScPr0aR6KThAEQRA3Jw5tQjJ9+vRmr5eUlCAiIsLuWlhYGIqKilq9X1xc7EpZCYIgCOJvgdN7a/fs2RMbN27EkCFDsGjRIuj1eixfvpy7v337dqxZswa//fYbRo4cidmzZ2PatGnc/VdeeQVCoRDLli2zS/fkyZNQKPg7+q2urg5yedsn+5Ccb+RJcr6T599NzpfL9neT8+WyOSPnKFqttuUzJRgn6dGjB3Po0CGGYRjm7bffZp555hm7+19//TUzZswYhmEYZuzYscxXX31ld//ZZ59l3nrrrSbpnjhxwtmitEpGRgbJuSjny2X7u8n5ctluFjlfLtvfTc6Xy+aMnKO0ZvfcWuccGRmJkpISu2ulpaXo0KGDQ/cJgiAIgmiKW27tI0eOYN68eTh06BDnkn700UeRkpKC559/Hp988glOnDiBr776CgCg0+kwdOhQrFq1CkOHDrVL9+TJkzw9EkEQBEH8NfDIkZEDBw5EVFQUFi5ciGeeeQa///470tPT8d577wEApk6dig0bNmDt2rW4++67sWbNGkRFRWHw4MEOF5AgCIIg/m645dYWiURYs2YNNBoNpkyZgl27dmH16tWIiYkBAMTExGDVqlXYtWsXpk6ditLSUqxZswZCvo5yJAiCIIibEKfd2gRBEARBeBa33NrexGAwYMqUKVi0aBGGDBkCAMjMzMS7776LzMxMqFQqvPjiixg0aBCmTJkCjUaDsrKyJukEBwdj+fLlSE1NxYgRIwBYtyYVi8Xcf81mMzp37sylN2LECBiNRmi1WshkMhgMhmbl2PKtW7cOFy9ehE6ng0gkspPr3bs3Ro8eDYFAAIPBAIFAAJPJ1CS9pKQkjB49GmazGQzDtFo+Nt/ff/8dX375JeRyuV2+CxYswIcffojc3Nwm70MoFCIuLg5vvPEGl9bQoUOxe/duaDQaANbNYywWCzp37oxHH30UCxcubFZHMpkMAoGAK9vAgQNxxx13wGKxQK/XQygUNvustrqoq6uDRCKBXq/n3nVbumhOjn0nn332GS5fvgydTgepVGonZ6sL2/I1Ts9WFxaLpdXysfn+/PPP+OabbyCXy+3ybUsXnTt3xmuvvWanix9++AHl5eUAAH9/f5hMpjZ14efnB4ZhEB0dDX9/f+Tl5XHfksVigUgkgslkgp+fH3Q6HSIiIhAaGmonBwASiQR1dXWQyWTQ6/V2cgzDwGw2w2QyQS6Xc++ksZyfnx/Gjh2LrKwsZGRkoLa2tolcbm4uTCYTAEAgEEAoFMJgMEAul6Ourg5isbWpCggIQFBQEEpKSmAymSAUClFbWwvAGoDaoUMHuzyHDBmCN998E0VFRQgKCrLLMycnBzU1NU3eXWO5vLw8AIDFYuHqvu0zR0REwN/fHxcvXmxRFxaLpdl3zDAMRCIR96yN87Wt/2PGjEFsbCz+/e9/w2QyITw8vIkuGIbBmDFj0LlzZ6xbt66JnJ+fH4KCgjB8+HC8/PLL2LRpE1avXm0nZ6sLiUSCQYMGoWfPnvjiiy9gMBggEoma6AIAbrvtNly8eBG5ubmIjo5uov/nn38ee/bswSuvvILAwEC7PJvThUwmg1QqbfIMrC7MZjNuueUW9O3bF19++SUn15ou5HI5BAKBXXrsexOJRBgyZAgXV2UymdCpUycsXLiQi5XauXMnKioquDasZ8+eePXVV9G/f38uj6+++grr169HdXU17rnnHrz55psuLRP+S/iXm9vXW6PR4B//+AdiY2Oxfft2zJgxA/Pnz8cTTzyBrKwsLF68GAcPHsTu3bsREBCA1NRUiMViPPLII5g/fz7GjRuH8vJyjBkzBiaTCaGhoTCZTIiIiIBMJsO0adMwf/58TJkyBSUlJRg7diwA6wdjNpubyLH5btmyBUeOHEFiYiLEYnETuQkTJqCyshL3338/l5/RaGwiN378eFRVVeHRRx/lGoLW8r106RK+/PJLALDLd8qUKXj66aeRm5uLoKAgfPnll5BIJJDL5Rg2bBjGjh2LkpISPP3001xaX375JSorKzFr1iwIhUKYzWYuz7fffhv9+vUDYF2zLpVK0b9/fwgEAnTs2NGubBMnTuSmPMxmc4vvmNXF8OHDodfruYrboUMHBAQENNHFHXfcAZPJBIlEArPZ3ESOfY6NGzfi6NGj6Nq1K8RicRM5VhdjxoyBXq9HWFgYjEYjwsPD7eRYXUyZMgV6vb7NfI8fP45vvvmG0wUr11gXK1euhEAggEwmw+23344JEyY0q4vy8nI89NBDXOeBzdNWF3PmzIFQKETv3r0hEAgQGRkJf39/VFZW4vz58xg9ejQkEgmkUinq6uoQEhICoVCIkJAQBAQEoKamBufPn8ftt9/OlclgMCAwMBAikQj+/v6IiIhAbW0tzp8/j0ceeYTryJjNZojFYkil0iZyK1euxEcffYTt27fj4MGD6NatG6KioprIpaSkQKlUwt/fHwaDAWFhYQAAhUIBi8WC6OhomEwmxMTEQK1WY+DAgTCZTNBqtYiIiMDgwYNx48YNuzz37t2LuXPn2nVsbPN86qmnEBwcjMjISIjFYsyZMwdxcXFN5P7xj39Aq9VCLBbDYrGgQ4cOEAgEdnKXL1/GihUrsGrVKi69vn37QiwWIygoyC69SZMmQSKRwM/PD0ajEUFBQc2+Y1YXCoUCd955J86cOYOPPvoIYrEYW7ZsaaILhUKBkSNHIi0tDcuXL28it3LlStxxxx3IysrCsWPHcOTIESxbtqyJHKuLwMBAjBgxAoWFhVi9ejVEIhEiIiKa6GL48OH4/PPPsW/fPuTk5KBHjx5N9P/LL7/g/fffx9tvv83VC9s8WV1ERUXhgQcewCeffMJ1hGzlWF3IZDLcc8890Gg0+Ne//mUnZ6sLNr0777wTgNU426bH6iIgIAB33XUXcnJy8Omnn0IsFtudF/Hee+/h22+/xejRoyEUCtGxY0f069cPAwcOxJNPPsltrLVv3z58/PHHeOutt/Dll1/i3LlzTfb0cBSfN84t7eu9c+dO+Pv745///Ce6du2K5ORkyOVyZGZmArD2fjt06ICDBw8iICAA165dw9NPP42xY8dCLpfj+vXrAKw9sC5dumDcuHEwm81YtmwZKisrERwcDLlcjpycHDu5UaNGwWQy4T//+Y+dXEZGBgDg999/h1gsBsMwCAwMxJYtWzg5mUzG9TKrq6vRpUsXjBkzBhaLBUuXLrVLr6qqCoC1E9KlSxf06dMHDMPYpWf7vF9//TX8/PwAwC7fzZs3IzAwEADQqVMnZGZmIiQkBKGhoVizZg2WLFmC2tpaSCQSLq2ePXuiW7duCA0NhVKpRGhoqF2e2dnZAAC1Wo2oqCicOXMGSqUS3333nZ3c1atXAVgX2nfp0gWDBg2C2Wxu8gysLnJzczFmzBjce++9MJvNWLlyJYKCglBaWmqnC1bunnvugclkwtdff20nx+ri4MGDkMvlkEgkCAwMxM6dOzk5W11kZGRgzJgxGD9+PCwWS5N8WV2cPXsWY8aMQUpKChiGsUuvsS5CQ0M5XezcuRNyuRwbNmyw08UPP/yAhIQEKJVKrF27Fh988AGCgoIgFAq5tMLDwzF27FjExMRwuggICODyZHVx5MgRDB06FBkZGVAqldi9ezdkMhnKy8sxadIk7N+/HxMnTkRUVBRkMhnuu+8+6HQ6bN++HTKZDFVVVbjllluwb98+vPzyy1yA5osvvgitVovly5ejpKQElZWVuOWWW/Df//4Xjz76KFJTUyEQCDBnzhxUV1fjiy++sJM7fPgwNm/eDJ1OB8A6ur1+/Tq2b9/OyaWmpuLw4cNYsmQJUlJSAADPPfccDAYDZs+eDZPJhBdeeAGpqanQarWYM2cODh48iLi4OAgEAkilUjz55JMwm83o0aMHjh8/joEDB6JXr14wm82Ii4sDALs8b7nlFqSlpaFnz57o06cPAODWW29FcXFxE7nvvvsOTz75JG655RYAwNy5c6HX6/Gf//zHTu7y5csYNWoUV1fPnz8PgUCA77//3k6O1QXbsbr//vs5XdjKsbpYuHAhfv75Z1y5cgUAOANeXV1tp4uFCxfi119/5QxFTEwMJ9evXz+899572LNnD0JCQpCRkYEnn3wSABAXF8fJ2erilVdewb59+7hRaGBgIIqKivDdd9/Z6eLw4cP4+uuvYTQaIRKJYLFYuLKxunj22Wexbds2aLXaJnna6uKFF17A7t278eKLLzYrx+ritddew969e7myRUVF2cmxunjhhRewa9cu/P777wAAlUplJ8fqgn1W9h3HxcXZnRexbds2PP/887h8+TIeeeQR/Oc//8GRI0cwefJkdOjQAb/99hsA4IsvvsAjjzyCu+66C3369MHbb7+N//73v5x3xxl83ji3tK93QUEBevfuDYlEwsk13ueblQsICIBQKMQTTzyBEydOoHv37tz9gIAA5OTk4PLly5BIJPjqq68QEBCA4uJiJCYmwmw228mxH/5//vMfTq5Xr16cYWRHiYWFhUhKSuJG7qycUqm0S+/cuXMAgF9++cVOLjw8nJO7cuUKjh8/jo4dOzZJj33e6upqGI1GAODyZUdkTz/9NACgY8eOCAkJQVlZGaKjoyESifD9999DJpOhV69e8Pf3B2A1zjk5OTh58iSSk5PxxBNPNJtnQEAA8vPzER4ejn79+jUpG6sbAMjJycHBgwcRHBxsJ2eri5KSEqSkpKCiogJSqRQXLlxAz549cejQITtdsHLs6WZXrlzh5Gx1ER4ejoiICFRVVaF3796QSqV2cqwu2PQKCwsBWE9bs5VjdVFSUoLOnTvjzJkz6NSpU5P02PdSU1ODUaNGAQCXb3BwMAIDA+10UVBQAIVCwX3HAoEAwcHBCAgI4HTBMAxSUlJQUFCAlJQU/PHHH0hMTGySZ0lJCa5du4aYmBj0798fUqkUCQkJuPXWW9GnTx/U1NTgwIEDuHHjBgBgz5498Pf3R2BgoJ2c0WhESkoK1Go1hEIh1Go1xGIx8vPzkZiYiAkTJuCWW25BUVERBgwYwMmxjU9JSQknN3DgQBw/fhwWiwWxsbEQCAR237dtet27d0f//v259NgOVteuXdGzZ09kZmYiNTUVISEhUKlUMBgMUCgUkEqlGDJkCBISEtCzZ08EBQVxe/uzaSQlJXHfg23ZsrKy0LlzZy5P9qwAW7mUlBSUlJRg9OjRnFxxcTH69euHLl262KXH5qtWq2GxWNCtWzf07t27Sb5arRYHDhzAlStXIBQKOV3Yytnqgp12mTx5MoRCIerq6tClSxesW7fOThe2coDV48jKde/eHRUVFfj+++8RFhYGs9mMyZMnIzIyEiKRyC49Vhdsevfccw8A66hz3bp18Pf3b6KLo0ePQiaToWfPnpDJZFi3bp3dO7lw4QLMZjNuu+02ALDL01YXts/QuGy2umDlpkyZwnnsbNNj8xUIBKirq0NMTAw6duzYJF9WF5WVldDr9YiOjoZEIuFc9wDQq1cvThfPPfccpk2bhsjISCiVSi4fvV4Ps9mMc+fO2Z0nkZKSArPZzHW2ncHn55xb2tc7LCyMM2ys3NWrV7mXxRISEoLc3Fy88cYbkMlkmD59OtRqNY4fPw7AuhysoKAAe/fuBQD8+OOP+Pe//41hw4bh+vXrOHLkSLNy33zzDT777DMMGzYMGo2Gy/euu+7Cvn37kJeXh7y8POzfvx9r1qzh5NLT05tNb9OmTVi7dm2T9NLT02E0GmE0GlFVVYUPP/zQLj32EJHZs2fjt99+w4kTJ/DLL7/Y5fvRRx8BAMrKyrBp0yYIBAKcOHECvXv3hlAoxJo1a3Ds2DGcPXsWANC5c2f4+/vjl19+AQD88ccfzZYtIiICDMPgxo0bTfLUaDQ4deoUAODbb78FAK5jY/sMpaWlnC6CgoK4uUGDwYDy8nJcv34doaGhiI2N5XTBynXo0AEikQhFRUWcXPfu3bnyKZVKVFRUwM/Pj9vv3VaO1QWbnlqthkgkQrdu3ZpNr7q6GqtXr0ZgYCC3Z7ytHKuL6OhobrTN5su6t9nRellZGQoLC5Gfnw+FQoHi4mLOHSqXyzk5Pz8/fP7556iuroZYLMaNGzeaLZtUKkVOTg4efvhhTo9lZWUIDQ3F9evXubny0tJSAFYDwjYirFxUVBQA61GvarUaKpUK169fh9lsRnl5OdcI+vv7g2EYhIeHc3JlZWWQSqUoKiri5MLCwlBVVYXvvvsO/fr1g1wuh1arRXR0NABwchEREairq4Ofnx+X3qFDhyCRSJCamoouXbqguLgYCQkJKCwsxObNm7m6IZfLMX/+fCiVSnTp0gU3btzAjRs3UFFRgevXryMmJgbV1dVce2BbtsrKSly9ehVZWVkQCoX4/vvvER8fbyfHriwpLy9HdnY2BAIBtm/fji5dujRJr6ioCBaLhZsD7tGjB9dhtpWTyWSQSCTcNJ2tLlg5W11s3rwZw4YNg1AohMVigclkglKpxJAhQ5CRkcHpYvXq1Rg2bBjkcjk3Z8/K5eXlIS0tDVFRUSguLkZcXBynS7ausHKsLth8c3JyIBQKERAQwMX7hIWFcWXz8/NDYWEh5HI5Bg4ciPT0dC6toqIiVFRUYPPmzejfvz9kMhmnC9s8WV388MMPEIlEOHbsGCfLyh09epTTxeLFiyESiZCWltZEjs3XYrFg3bp1AKxGkjWQtnKsLt59910A1k2y2HfPwv5dXFyM4cOHAwBqa2tRWVmJkydPIi8vDwMGDEBVVRUXM8AiFosREhLCtQPO4PMj55a45557kJGRgc2bN8NoNOLMmTPYsWMHVxlY/Pz8YDabodfrObn//ve/EAgEAKwj6xs3bqBHjx4ArA3rSy+9hD179mD37t1cOrW1tSgtLcWsWbMAAPHx8Zycbb61tbVcL0soFCI1NbVFObZyCgQC3HLLLc3KjRgxAj179kRkZCQANEmvrq4OgNVNWllZCQDN5gtYg60WLFiA2NhYAFaj9NBDD+H555/Htm3buDy/+uorhIaGYtKkSQCsDX9zZfv1118RFBTEzU239KyPP/44EhISuEa5f//+nJytLnr16oXvvvuOM9a7du3C+fPnodFo7HQxaNAgfPfdd4iOjobZbMaXX37JydnmO2jQIJSUlCAwMBAZGRl48cUXW5T7+uuvcfLkSTAMg4ULFzYrN2LECPj5+UGpVCIzMxMvvPCCnRyrizvvvBN//PEHADSbL6uLBx98EEKhEJWVlZg6dSq+/vprnD9/HkVFRVye5eXlqKysxMyZM1FVVYXx48c3WzaxWAyRSIQ+ffq0+KwajQYikQgymQxyuRzp6enYsmULLly4AKPRCLlcDj8/P7z22muoq6vDiBEjuAbRaDRygW2svjZu3Ai9Xo/Ro0dDp9NxBoGVk0qlMBqNWLp0KfR6PRdzwHpUWpLr1q0bMjIyOO+LrVxpaSk3NdOjRw8oFArMmjULFosFUqkUFosFRqMRDz30EABg0qRJMBgM3LfTOM/Lly+DYRjce++9qKmpwalTp2AymTg51lvz7LPPwmKxYMqUKairq8OZM2e4PBs/g8FgQGxsLNfwN863rq6OC7a87777EBQUhLNnz9q9O1tdZGRk4Omnn+Z0YbvAxlYXmZmZePHFFzld2MrZlk+r1WLQoEFcwKottnKZmZm49dZbkZGRwc2z28qxuli8eDHuuOMOKBQKu3rKpvXQQw/BYrHgnXfesdNFY7nLly/DbDbj3XffRU1NDQoLC+2ewVYXBoMBy5YtQ11dXRPDZ/sM2dnZXKeguWdldSGRSLB8+XKuo26bL6uLFStW4OrVq9DpdHjvvffAMAz+97//YdKkSUhKSuLqv1QqbZJPc8/dFn9Z49ytWzcsXboUH3/8Mfr27YtXX30V//jHP7ieIMupU6cwaNAg/Otf/7KTCwoKAgC8++67SE9Px+DBgxETE4MbN26gsrISb7zxBh544AEunW3btqFLly546aWXuDlsVs42323btsHPzw+33norli1bhgsXLjQrt3btWuTm5uKJJ57ABx980KLcn3/+ib59+2Lbtm0ArPOerBzbi2Pz7dSpEwA0my9gDeDau3cvBgwYgMWLF6O8vBxffvkljEYjVCoVF1EYHByM1NRUfPDBB1i8eDG0Wm2zZTtx4gQSExPx0ksvNZsn+4FfvHgRffr0wa5duyCTyeyewVYX33//PbRaLTcCzcrKgtlsRnZ2tp0uhg0bhqlTp+LNN98EAJw7d46Tsy3fsGHDEB4ejv3798NiseCnn35qVo4NfmIbtJbkJk6ciGnTpuHatWsAYCdnq4thw4bh9ttvB4Bm82V18eKLL2L69OkQCoUoKSnBO++8Az8/PztdTJkyBQ888ADWr18PgUCAysrKZst2/fp1DB06FG+++WaTPGfMmMGNfj/55BNMnz4dFRUVqKysxLfffotJkyYhICCAWw1QUVEBAPj8888hk8kQGBiIgIAAzmiw0wm7d+9GZGQkQkNDIZPJYLFYIJfL7SKPa2pq8M033yAyMpJzF7IdiubkgoKCsHfvXiQmJqJjx46cnEwmw65du1BbW4vly5cjNDQUQUFB6NOnDy5evIjjx49zOiwvL8eVK1e4stlOr9jmGRAQwHkEkpKSMHz4cFRXV+P06dOcHGsQamtr0bFjRyQkJOD2229HZWUl0tPTm30GtrMtk8mafdaysjIu38TERAwbNgzV1dX47bff7ORYXej1ejz00ENc9LKtkbHVxfLly9G9e3dOF7b7SdiWr2vXrlAqlVwwny22cg899BA++ugjJCYm2k0XMgxjp4uRI0ciKioKffr0QWlpKeep0Ov1nC4+/PBDdO/e3U4Xtnmyuli5ciUmTZqE4cOHw2Aw2M3V2uri448/xrhx43D77bdDr9fbydk+g0wmw8MPP9zis7K6+PjjjzF+/HgMGzYMBoOBqwOs7iIjIxEeHo6RI0di4MCBMBqNEAgE6NChA9555x0A4EbwjQ0xq1Nn+csaZwC49957cezYMezfvx979uxBUFAQNzoDrC8lLS0Ns2bNaiLHbpTSsWNHPP/881i0aBG0Wi1WrlyJadOmISUlBREREVxvMTc3F927d4fJZIJOp8P69es5Odt8c3NzuTlPtnzNyV2+fBkDBw7EK6+80kROoVBwgUNsvpGRkQgODsZ7773HyeXk5HAG8PDhwzh06BAA4O2338aaNWvs8gWsyyLOnTuH7t274+GHH0ZoaCgWL16M6dOno7a2ljPuFRUV3Fzwww8/jODgYNx6661NnsF2DqnxM7CBIbbPEBgYiK5du2LevHl2ZWN1sXr1ahw/fhxnzpxBSEgIVq9ejTvuuAMPPPCAnS6EQiEWLVqEo0ePQigU4osvvuDkbMsnFAqhUqnw+OOP4/Dhwzh//nyzcuvXr8fMmTNx5syZJnK2umDzPXXqFAIDA7F8+XJOzlYX8+bNw/79+wFYe92bNm2yy5fVBZvemTNnEBwcjLfeegtDhw5Fhw4dOF1ERUVh0aJFOHnyJA4fPozg4GD06tWryTPo9XqsXLmSk2OfYdq0adz0xCuvvIK7774bixYtwvz58yGXyzF+/HjU1NQgKioKW7duRU1NDT799FMMGjQIM2fOxNixYzlXdGlpKcLDw/H//t//A2CNEO/atStKSkrQoUMHGAwGREREcHJbt25FVVUVVq5cia5du8JoNMLf359z2TeWu//++1FZWYk+ffrgnnvu4eRKSkqQnp6OEydOoFOnThgyZAgiIyMhFApRXV2NoKAglJeXo6SkBPn5+dBqtVyHZ+nSpZwu+vXrh9zcXC7P6upqrmwlJSVQqVQQi8UoLi7mysb+dsGCBXZyIpEIhYWFTZ5h/vz5AKyuU9uzBVi5LVu2gGEYvPLKK1x6MTExkEqlKCgosEuP1cXx48dx5MgRjB07lvNgAFbDbKuLkSNHAgA6dOjATWOwcra6YIMVIyMjuQCtxnL3338/Nm3ahBkzZuCee+7h5CwWCxYtWmSnCzat6upqyGQymEwmLi1WF2+++Sb69evHvc8zZ87gxIkTnByrC/YZVCoVt9yUzddWF63J2erCaDTijjvuaPZZbXXBphcTE8MtbWMpLS1Fx44dsWHDBhw7dgwbNmzAgQMHAAAvvPACZ5RDQkIgk8m4qSMAMJlMqKioaHJ0siP8ZY3z0aNHsWDBAgiFQq7h/u233zBo0CBO5tKlS6irq8OWLVuayOn1egDg1rp9/fXXKC8vR2pqKgoLC6FSqfD7779zLzUkJASXLl3CN998A4vFgqSkJE7ONt+QkBBotVpcu3aNK5+tHDsaCAsLQ0xMjN1zsHJ//PEHNzpj8929ezcqKyvRvXt3Tk4ul+O+++4DYA2cYaM/+/fvj759+3Jy7Lx2dnY2IiIicPDgQcyePRsVFRWcka+treUMrVgsxqVLl3D06FE89dRTqKqqQl1dXZNnlcvlyMvLa/YZWMNp+wx//vknLl++DJVKZfdOWF0cPHgQX331FbZv347KykokJSXhzJkzuPXWW+10sXfvXqxduxY7duwAwzDo0qULJ2dbvr179+L69esoLi7G22+/Db1ebyfH6iIxMZELJGosZ6sLNt99+/ahuroasbGxnJytLu6++27ccccdAKzTEOzc8K233mqni02bNmHRokV45plnUFVVhcTERBw9ehSVlZWcLtg8z5w5g9deew2VlZVQq9VNnjUkJARfffVVk2coKChARkYGBAIBQkNDudiGPn36oK6uDqGhoUhLS4NarcalS5e4Oc/U1FScO3cOAQEBMJlMiI+PR0ZGBi5evIhLly4hJCQEAoEAycnJOHXqFDeCj4yMtJO75557MGrUKCQnJ6O6uhqRkZG4ePEiNBqNnVxKSgq+/fZbpKamQiaTITk5mZM7c+YMsrKy0LVrVxQXF+PgwYNITk5GVVUVMjIyUFlZiejoaJw5cwZlZWUYMWIE9uzZgwcffBC9evXC448/DsAa11FQUMDlybYJ7DPExcXBZDIhLCyMK1tOTg5kMhkCAgI4ufj4eJjNZgQEBDR5VqlUioiICJw7d87uGVg5dt46NDSUSy8xMRE6nQ6hoaF26bG6CAoKQkBAAAICAsAwDNf5X7ZsmZ0uWGw9QrZyrC5YkpOTUVpayo0oWTlWF7Nnz8arr75qJ7ds2TLs3r3bThdsWhkZGdDr9fDz8+PSYnWxc+dO7Ny5k9NFz5490bt3b06O1QVLXFwcGIbhOiLLli2z0wVLfHw8tw688bNKpVIuaLK5Z7XVBUtiYqLd1AtgPfehrKwM+/fvR2VlJZ555hkuwNF2K2qhUIg+ffrYnRNx5swZiEQiJCYmwln+ssa5c+fO+PPPP/HFF1+goKAAn3zyCdLT0/Hoo49yMllZWejUqROOHDnSRI41ZKy79dNPP4VQKMTChQtx5MgRmM1mpKen46mnngJg/Vh27dqFf//73xAKhXjxxRft5Nh877zzTpSVlaG0tBT79+/HnDlzODm2twgAEyZMwA8//IDjx4/jjz/+wOzZszm5c+fOYfz48QCAhIQE7Nq1C8uXL4dQKMTy5cs5uYyMDDzzzDMAgNGjR3PBQSdOnMBzzz1nJwdYl/gMHToUhw4dwoEDBxAdHY3//e9/OHToELemGrCOnHft2oU///wTBw4cgL+/P86fP9/kWePj4/HDDz8gIyOjybOmp6fj3nvvBQB0796dewaz2YwdO3bYybG6EAgE+Pe//43Vq1dz0fURERFIT0+300VVVRXWrVuHDRs2QCgU4tFHH7WTY8sXERGBwsJCaLVa7N+/H/fddx8nZ6uLwYMHY/369cjJycEff/yBqVOncnK2ujCZTFi3bh0++eQT7lth5Wx10aVLF65nfeLECTzyyCN2cqwuGIbBjz/+iAMHDiAqKgoff/wxJBIJCgoKuGfIyMjAZ599hvPnz+PAgQOQSqWIiopq9lk///xzlJSUcM8aGBiIX3/9FRKJBPfccw9WrFiBkpIS/Pvf/8b69eshFouxcuVKBAQE4Ndff4VIJEL//v3xf//3f+jcuTNOnTqFTz75BIGBgZg5cyYCAgLw888/QyQSYebMmdiwYQP8/Pxw+vRpfPbZZwgICMAjjzxiJ/f444+jpKQEd955J6qrq1FYWIjw8HBMnjzZTi4rKwuDBw/GU089hdOnT+PPP/9EaGgoxo0bB5PJhFtvvRUFBQUYMWIEli5dik6dOuHKlSswGo1QKpX45z//CZPJBJFIhLlz50KhUGDSpEm4ePEiN5JZsGCBXZ4JCQlYvHgxVCoVTp8+jQ8++AByuRwLFy60k5s+fTo+/fRTBAUF4fTp01i+fDkkEgnefPPNJs967tw59OrVC2fOnMGpU6eafdZRo0ZhxYoVCAsLw+nTp/F///d/EIvFWLVqlZ0cq4sjR45g//792LRpE7dEcffu3fjiiy/sdLF9+3YcOHAA27Ztg0wmQ0FBgZ0cqwuDwQCtVouBAwciMDAQ+fn5dnKsLsaMGYOLFy9yAaJXrlzBF198gUGDBtnp4tdff+U2vVEoFNBqtVxarC7Yf7feeisAa6Dbzz//zMmxujh48CAOHDiAL774gguAtC0bq4tdu3bh2LFj2Lp1K0QiEUpKSpo867lz5xATE4OSkpIWn5XVxU8//YTjx49j586dEAqFqKioQFZWFtatW4f09HT07dsXK1euxCuvvAKxWIyysjJMnToVRqMRJSUlnFv9oYcewn/+8x/s27cP586dw5IlSzB16tQm062O8JfavtP2RCwAOHDgAD744ANcu3YNiYmJWLRoEfr06cPJnT9/Hnv37sWzzz7bRI4daSoUCohEIojFYtTW1nI90KSkJLv0AgMDYTQaud2hWpLbuHEj3nnnHVRUVNi5UdhdppYuXdrss7FuTja97t27Izk5mdutSCqVtpnvwYMHsWHDBruISFbuvvvuw6233srtXMYuyQCsxvP999/n0rrvvvuwd+9e1NTUQCAQQCwWQyAQNMlz9OjRuPPOO/H555+joKCgSZ49evRA3759ERYWhtraWgiFQhiNRm5EzcrZ6kIgEHC7WLE7MfXq1auJLtgdvQC0KLdx40YsXrwYZWVlTdJrTRfs/BCbnq0u6urquLlpiUTSYr4//vgjtm3bBrlc3qR8trrQarVgGIbb7SopKQmLFy+208VPP/3EvT82wLFxnqNHj0afPn3w5ZdfoqqqCmKxGDqdrsk8m+33xkaGV1ZWclMQjWGfWSaToba2tkU5f39/GI3GNuWCg4Oh0+nalGNh311zsEE+Op0OrTVjkZGRKC4uRmBgIC/PwOqgLbn4+Hhcv36dt/SefPJJ6HQ67Nq1C1qttkW5SZMmwc/PD7t3725V7sKFC1i6dCl27tzZqhxLa7rw9/fH0KFDce7cOW5JYnN8/vnnePLJJxEQENBqnhMmTIBcLsdPP/3Uqtzw4cMRHh6OvXv38vKsw4cPh1KpxM8//wyDwYC4uDi89tpr6N+/P958801uGqExc+bMwfPPPw8AWLduHTZt2gSDwYC7774bb731lktzzn8p40wQBEEQfwf+sm5tgiAIgrhZIeNMEARBED4GGWeCIAiC8DHIOBMEQRCEj0HGmSAIgiB8DDLOBEEQBOFjkHEmCIIgCB+DjDNBEARB+BhknAmCIAjCx/j/4gtCWzYni4oAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot('year', 'min_dayofyear', data=peaks_north);\n",
    "plt.plot('year', 'max_dayofyear', data=peaks_north);\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What is the min and max amount of snow at those times?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot('year', 'min_snow', data=peaks_north);\n",
    "plt.plot('year', 'max_snow', data=peaks_north);\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Given the difference in scales, it's a bit easier to see what is happening if we plot the min and max separately:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot('year', 'min_snow', data=peaks_north);\n",
    "plt.plot('year', 'min_snow', 'r.', data=peaks_north);\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot('year', 'max_snow', data=peaks_north);\n",
    "plt.plot('year', 'max_snow', 'r.', data=peaks_north);\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What do you think this is telling us about the ice in the northern hemisphere? What are the main sources of ice there, and what is happening to them?\n",
    "\n",
    "The above figures are for the northern hemisphere. Repeat them for the southern one. What do you observe? Any differences?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I hope this lab has taught you some useful skills regarding tools like xarray and data with a different structure than data frames. But more importantly, that it has shown you how the ideas from this course also apply to problems as critical to humanity as climate change, and that you have the foundations on which to better understand these questions.\n",
    "\n",
    "Don't stop here! This dataset is fascinating, and both the lecture and the lab were barely an appetizer!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false
   },
   "source": [
    "---\n",
    "\n",
    "To double-check your work, the cell below will rerun all of the autograder tests."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "deletable": false,
    "editable": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "q2 results:\n",
       "    q2 - 1 result:\n",
       "        Trying:\n",
       "            list(monthly_anomaly['c02']) == [-0.6838350970017644, 0.07612096774193428, 0.8742380952380925,\n",
       "                                             2.240269841269833, 2.8641545138888853, 2.299296594982075, \n",
       "                                             0.792918871252205, -1.1950176366843068, -2.851366843033514, \n",
       "                                             -2.8573163082437323, -1.453271604938272, -0.15930335097002282]\n",
       "        Expecting:\n",
       "            True\n",
       "        **********************************************************************\n",
       "        Line 1, in q2 0\n",
       "        Failed example:\n",
       "            list(monthly_anomaly['c02']) == [-0.6838350970017644, 0.07612096774193428, 0.8742380952380925,\n",
       "                                             2.240269841269833, 2.8641545138888853, 2.299296594982075, \n",
       "                                             0.792918871252205, -1.1950176366843068, -2.851366843033514, \n",
       "                                             -2.8573163082437323, -1.453271604938272, -0.15930335097002282]\n",
       "        Expected:\n",
       "            True\n",
       "        Got:\n",
       "            False"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grader.check_all()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false
   },
   "source": [
    "## Submission\n",
    "\n",
    "Make sure you have run all cells in your notebook in order before running the cell below, so that all images/graphs appear in the output. The cell below will generate a zip file for you to submit. **Please save before exporting!**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "deletable": false,
    "editable": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <p>Your submission has been exported. Click <a href=\"lab12_2022_04_13T19_29_56_248534.zip\" download=\"lab12_2022_04_13T19_29_56_248534.zip\" target=\"_blank\">here</a>\n",
       "            to download the zip file.</p>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Save your notebook first, then run this cell to export your submission.\n",
    "grader.export(pdf=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Create Assignment",
  "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": "3.9.7"
  },
  "toc-autonumbering": false,
  "toc-showcode": false,
  "toc-showmarkdowntxt": false,
  "toc-showtags": false
 },
 "nbformat": 4,
 "nbformat_minor": 4
}