{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0f09a974-37fe-440e-8daf-4aa0f2caae69",
   "metadata": {},
   "source": [
    "# Analysis of temperature seasonal variation across a latitude bands\n",
    "Figure 1.4 and 2.3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a464e3d4-2cd3-470e-8f29-7f8f6793eb6e",
   "metadata": {},
   "source": [
    "### Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9a80a0a4-ef03-411d-b441-21434947e6ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "56ca6e5b-3400-4ba7-a050-9e241da9dea8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# montly averaged 2-meter level temperature (T2m) for each 1° latitude band across a full 360° longitude\n",
    "# T2m are calculated with the Weather Research and Forecasting model (WRF) version 4.3.\n",
    "# shape = (180, 12)\n",
    "wrf_mon_T2 = np.load(\"./data/WRF/WRF_T2_LATxMON.npy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4161a87b-68b7-4fc2-aeff-3a05404a4bab",
   "metadata": {},
   "outputs": [],
   "source": [
    "# area factors for different latitudes\n",
    "area_factor = (\n",
    "    np.cos(np.arange(180) * np.pi / 180) - np.cos(np.arange(1, 181) * np.pi / 180)\n",
    ") / 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3ce18021-7bed-43a9-ba6d-6a4436700fff",
   "metadata": {},
   "outputs": [],
   "source": [
    "month_name = [\"J\", \"F\", \"M\", \"A\", \"M\", \"J\", \"J\", \"A\", \"S\", \"O\", \"N\", \"D\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "33118b18-72fc-464a-a710-a7606a031e15",
   "metadata": {},
   "outputs": [],
   "source": [
    "# boundary latitudes for the plot\n",
    "lat = [20, 30, 40, 50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4ed444ff-2b06-416a-ac08-bf56eda7ae12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10, 14), constrained_layout=False)\n",
    "ax = [None for _ in range(4)]\n",
    "for n in range(4):\n",
    "    ax[n] = fig.add_subplot(4, 4, (2 * n + 1, 2 * n + 2))\n",
    "\n",
    "low = [23, 22, 20, 18]\n",
    "high = [27, 26, 24, 22]\n",
    "step = [1] * 4\n",
    "coeff = [1] * 4\n",
    "caption = [f\"WRF, 1980–2020, {lt}° S–{lt}° N\" for lt in lat]\n",
    "# thin spaces (' ') are used between ‘°’ signs and letters\n",
    "col = [\"firebrick\"] * 4\n",
    "\n",
    "for n in range(4):\n",
    "    for axis in [\"top\", \"bottom\", \"left\", \"right\"]:\n",
    "        ax[n].spines[axis].set_linewidth(0.5)\n",
    "    ax[n].tick_params(length=6, width=0.5, axis=\"y\")\n",
    "    ax[n].tick_params(length=0, width=0.5, axis=\"x\")\n",
    "    ax[n].grid(color=\"0.\", linewidth=0.5, axis=\"y\")\n",
    "\n",
    "    ax[n].set_xlim((-0.5, 11.5))\n",
    "    ax[n].set_xticks(np.arange(12))\n",
    "    ax[n].set_xticklabels(month_name, fontsize=\"large\", va=\"top\")\n",
    "\n",
    "    ax[n].set_ylim((low[n], high[n]))\n",
    "    ax[n].set_yticks(np.arange(low[n], high[n] + step[n] / 2, step[n]))\n",
    "    ax[n].set_yticklabels(\n",
    "        (np.arange(low[n], high[n] + step[n] / 2, step[n]) / coeff[n]).astype(int),\n",
    "        fontsize=\"large\",\n",
    "    )\n",
    "    ax[n].set_ylabel(\"Mean surface\\nair temperature, °C\", fontsize=\"large\")\n",
    "\n",
    "    ax[n].set_title(caption[n], fontsize=\"large\")\n",
    "\n",
    "fig.align_ylabels([ax[0], ax[2]])\n",
    "fig.align_ylabels([ax[1], ax[3]])\n",
    "\n",
    "for n in range(4):\n",
    "    # normalization of temperature values on the \n",
    "    # area of degree cells before summation:\n",
    "    # T_avg =(T_1*S_1+T_2*S_2+...+T_2*S_N)/(S_1 + S_2 + ... +S_N)\n",
    "    T_values = np.sum(\n",
    "        wrf_mon_T2[90 - lat[n] : 90 + lat[n]]\n",
    "        * area_factor[90 - lat[n] : 90 + lat[n], np.newaxis],\n",
    "        axis=0,\n",
    "    ) / np.sum(area_factor[90 - lat[n] : 90 + lat[n]])\n",
    "    \n",
    "    ax[n].bar(np.arange(12), T_values, width=0.8, color=col[n])\n",
    "\n",
    "for n in range(4):\n",
    "    ax[n].text(\n",
    "        -0.25, 1.05,\n",
    "        chr(ord(\"a\") + n),\n",
    "        fontsize=\"x-large\",\n",
    "        fontweight=\"semibold\",\n",
    "        ha=\"left\", va=\"bottom\",\n",
    "        transform=ax[n].transAxes,\n",
    "    )\n",
    "\n",
    "fig.subplots_adjust(hspace=0.3, wspace=1.0)\n",
    "\n",
    "fig.savefig(\n",
    "    \"figures_two_parts/t2.eps\", bbox_inches=\"tight\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e9b11449-5115-492e-8529-c9bfb01a65f9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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