nb_performance_over_lead_time.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "import copy\n",
    "\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "from WD.plotting import plot_map, add_label_to_axes\n",
    "\n",
    "from benchmark.bm.score import compute_weighted_rmse, compute_weighted_mae, compute_weighted_acc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# usually this would go on top of the notebook:\n",
    "plt.rcParams.update({'font.size': 8})  # sets font size for all cells\n",
    "plt.rcParams['figure.dpi'] = 300  # sets dpi for all cells\n",
    "\n",
    "alphabet_letters = np.array(list(map(chr, range(65, 91))))  # used for labelling subplots\n",
    "textwidth = 170  # 144  # in mm\n",
    "mm_to_inch = 0.0393701\n",
    "textwidth = textwidth * mm_to_inch # textwidth in inches"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# First batch of experiments:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "t_850_runs = [\n",
    "    (\"rasp_thuerey_t_850_1day\",  \"diffusion_t_850_1day\", \"2023-09-16_18-02-54\", \"2023-09-17_12-33-36\"),\n",
    "    (\"rasp_thuerey_t_850_2day\",  \"diffusion_t_850_2day\", \"2023-09-15_16-51-04\", \"2023-09-17_13-02-07\"),\n",
    "    (\"rasp_thuerey_t_850_3day\",  \"diffusion_t_850_3day\", \"2023-09-15_16-51-22\", \"2023-09-17_13-30-44\"),\n",
    "    (\"rasp_thuerey_t_850_4day\",  \"diffusion_t_850_4day\", \"2023-09-15_16-50-34\", \"2023-09-17_13-59-13\"),\n",
    "    (\"rasp_thuerey_t_850_5day\",  \"diffusion_t_850_5day\", \"2023-09-15_16-44-10\", \"2023-09-17_14-27-46\"),\n",
    "]\n",
    "z_500_runs = [\n",
    "    (\"rasp_thuerey_z_500_1day\",  \"diffusion_z_500_1day\", \"2023-09-15_16-40-28\", \"2023-09-17_14-56-14\"),\n",
    "    (\"rasp_thuerey_z_500_2day\",  \"diffusion_z_500_2day\", \"2023-09-15_16-40-15\", \"2023-09-17_15-24-54\"),\n",
    "    (\"rasp_thuerey_z_500_3day\",  \"diffusion_more_patient_deeper\", \"2023-09-14_14-38-48\", \"2023-09-17_16-22-01\"),\n",
    "    (\"rasp_thuerey_z_500_4day\",  \"diffusion_z_500_4day\", \"2023-09-15_16-47-04\", \"2023-09-17_15-40-55\"),\n",
    "    (\"rasp_thuerey_z_500_5day\",  \"diffusion_z_500_5day\", \"2023-09-15_16-47-06\", \"2023-09-17_15-53-31\"),\n",
    "]\n",
    "\n",
    "predictions_t_850 = []\n",
    "targets_t_850 = []\n",
    "diff_t_850 = []\n",
    "\n",
    "predictions_z_500 = []\n",
    "targets_z_500 = []\n",
    "diff_z_500 = []\n",
    "\n",
    "for r_config in t_850_runs:\n",
    "    targets_t_850.append(xr.load_dataset(\"/data/compoundx/WeatherDiff/model_output/{}/{}/{}/{}/target.nc\".format(*r_config)))\n",
    "    predictions_t_850.append(xr.load_dataset(\"/data/compoundx/WeatherDiff/model_output/{}/{}/{}/{}/gen.nc\".format(*r_config)))\n",
    "\n",
    "    diff_t_850.append(targets_t_850[-1] - predictions_t_850[-1])\n",
    "\n",
    "for r_config in z_500_runs:\n",
    "    targets_z_500.append(xr.load_dataset(\"/data/compoundx/WeatherDiff/model_output/{}/{}/{}/{}/target.nc\".format(*r_config)))\n",
    "    predictions_z_500.append(xr.load_dataset(\"/data/compoundx/WeatherDiff/model_output/{}/{}/{}/{}/gen.nc\".format(*r_config)))\n",
    "\n",
    "    diff_z_500.append(targets_z_500[-1] - predictions_z_500[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE 0 0 is 1.8\n",
      "RMSE 1 0 is 2.4\n",
      "RMSE 2 0 is 3.1\n",
      "RMSE 3 0 is 3.6\n",
      "RMSE 4 0 is 3.9\n",
      "RMSE 0 1 is 1.8\n",
      "RMSE 1 1 is 2.4\n",
      "RMSE 2 1 is 3.1\n",
      "RMSE 3 1 is 3.6\n",
      "RMSE 4 1 is 3.9\n",
      "RMSE 0 2 is 1.8\n",
      "RMSE 1 2 is 2.4\n",
      "RMSE 2 2 is 3.1\n",
      "RMSE 3 2 is 3.6\n",
      "RMSE 4 2 is 3.9\n",
      "RMSE 0 3 is 1.8\n",
      "RMSE 1 3 is 2.4\n",
      "RMSE 2 3 is 3.1\n",
      "RMSE 3 3 is 3.6\n",
      "RMSE 4 3 is 3.9\n",
      "RMSE 0 4 is 1.8\n",
      "RMSE 1 4 is 2.4\n",
      "RMSE 2 4 is 3.1\n",
      "RMSE 3 4 is 3.6\n",
      "RMSE 4 4 is 3.9\n"
     ]
    }
   ],
   "source": [
    "lead_times = np.arange(5) + 1\n",
    "n_ensemble_members = 5\n",
    "rmse_t_850 = np.zeros((len(lead_times), n_ensemble_members, 2))\n",
    "\n",
    "rmse_ensemble_mean_t_850 = np.zeros((len(lead_times), 2))\n",
    "\n",
    "for j in range(n_ensemble_members):\n",
    "    for i, value in enumerate(t_850_runs):\n",
    "        rmse_t_850[i,j, 0] = lead_times[i] \n",
    "        rmse_t_850[i,j, 1] = compute_weighted_rmse(predictions_t_850[i].isel({\"ensemble_member\": 0}), targets_t_850[i].isel({\"ensemble_member\": 0})).t_850\n",
    "        print(\"RMSE {} {} is {:.1f}\".format(i, j, rmse_t_850[i,j,1]))\n",
    "        rmse_ensemble_mean_t_850[i,0] = lead_times[i]\n",
    "        rmse_ensemble_mean_t_850[i,1] = compute_weighted_rmse(predictions_t_850[i].mean({\"ensemble_member\"}), targets_t_850[i].mean({\"ensemble_member\"})).t_850"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE 0 0 is 178.9\n",
      "RMSE 1 0 is 379.1\n",
      "RMSE 2 0 is 594.5\n",
      "RMSE 3 0 is 786.4\n",
      "RMSE 4 0 is 852.3\n",
      "RMSE 0 1 is 178.9\n",
      "RMSE 1 1 is 379.1\n",
      "RMSE 2 1 is 594.5\n",
      "RMSE 3 1 is 786.4\n",
      "RMSE 4 1 is 852.3\n",
      "RMSE 0 2 is 178.9\n",
      "RMSE 1 2 is 379.1\n",
      "RMSE 2 2 is 594.5\n",
      "RMSE 3 2 is 786.4\n",
      "RMSE 4 2 is 852.3\n",
      "RMSE 0 3 is 178.9\n",
      "RMSE 1 3 is 379.1\n",
      "RMSE 2 3 is 594.5\n",
      "RMSE 3 3 is 786.4\n",
      "RMSE 4 3 is 852.3\n",
      "RMSE 0 4 is 178.9\n",
      "RMSE 1 4 is 379.1\n",
      "RMSE 2 4 is 594.5\n",
      "RMSE 3 4 is 786.4\n",
      "RMSE 4 4 is 852.3\n"
     ]
    }
   ],
   "source": [
    "lead_times = np.arange(5) + 1\n",
    "n_ensemble_members = 5\n",
    "rmse_z_500 = np.zeros((len(lead_times), n_ensemble_members, 2))\n",
    "\n",
    "rmse_ensemble_mean_z_500 = np.zeros((len(lead_times), 2))\n",
    "\n",
    "for j in range(n_ensemble_members):\n",
    "    for i, value in enumerate(z_500_runs):\n",
    "        rmse_z_500[i,j, 0] = lead_times[i] \n",
    "        rmse_z_500[i,j, 1] = compute_weighted_rmse(predictions_z_500[i].isel({\"ensemble_member\": 0}), targets_z_500[i].isel({\"ensemble_member\": 0})).z_500\n",
    "        print(\"RMSE {} {} is {:.1f}\".format(i, j, rmse_z_500[i,j,1]))\n",
    "        rmse_ensemble_mean_z_500[i,0] = lead_times[i]\n",
    "        rmse_ensemble_mean_z_500[i,1] = compute_weighted_rmse(predictions_z_500[i].mean({\"ensemble_member\"}), targets_z_500[i].mean({\"ensemble_member\"})).z_500"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot as a function over time:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# z_500\n",
    "\n",
    "# extracted from Rasp & Thuerey paper with https://automeris.io/WebPlotDigitizer/\n",
    "\n",
    "data_ifs_baseline = np.array([0.00013954007590988304, 28.225806451612925,\n",
    "                              0.2546561372426164, 27.419354838709637,\n",
    "                              0.489141981577109, 37.90322580645159,\n",
    "                              0.7470210444439642, 39.51612903225805,\n",
    "                              0.9915582755367345, 50.80645161290329,\n",
    "                              1.2394039568163977, 54.83870967741939,\n",
    "                              1.5140998494767695, 69.35483870967744,\n",
    "                              1.7284739177091664, 76.61290322580646,\n",
    "                              1.9931229249040323, 91.12903225806451,\n",
    "                              2.2577629295133557, 104.03225806451621,\n",
    "                              2.5291368681085205, 123.38709677419354,\n",
    "                              2.753580328270279, 134.67741935483878,\n",
    "                              3.0015070328198252, 153.22580645161293,\n",
    "                              3.2527691953128937, 169.35483870967744,\n",
    "                              3.5174632154354724, 191.9354838709677,\n",
    "                              3.741942685939401, 209.67741935483866,\n",
    "                              3.9966123270603315, 236.29032258064512,\n",
    "                              4.234496647437144, 255.64516129032256,\n",
    "                              4.502557634552643, 281.45161290322585,\n",
    "                              4.750515848151588, 305.64516129032256,\n",
    "                              5.001850031328997, 334.67741935483866])\n",
    "\n",
    "data_rasp_thuerey_best = np.array([5.009592254895605, 521.7741935483871, \n",
    "3.0088351374514755, 266.1290322580645, \n",
    "0.9951232994115908, 89.51612903225805, \n",
    "0.2514647206677758, 55.64516129032256])\n",
    "\n",
    "\n",
    "\n",
    "data_ifs_baseline = data_ifs_baseline.reshape(-1,2)\n",
    "data_ifs_baseline[:,0] = data_ifs_baseline[:,0]\n",
    "\n",
    "data_rasp_thuerey_best = data_rasp_thuerey_best.reshape(-1,2)\n",
    "data_rasp_thuerey_best[:,0] = data_rasp_thuerey_best[:,0]\n",
    "\n",
    "\n",
    "data_direct_cnn = np.array([[3,626], [5,757]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,6))\n",
    "plt.plot(data_ifs_baseline[:,0], data_ifs_baseline[:,1], label=\"Operational Model\", color=\"k\", linestyle=\"dotted\")\n",
    "plt.plot(data_rasp_thuerey_best[:,0], data_rasp_thuerey_best[:,1], label=\"Rasp&Thuerey, best model\", color=\"k\", linestyle=\"dashed\")\n",
    "# plt.scatter(data_direct_cnn[:,0], data_direct_cnn[:,1], label=\"Direct CNN (Rasp 2020)\", color=\"k\",marker=\"+\")\n",
    "\n",
    "plt.fill_between(x=rmse_z_500[:,0,0], y1=np.amin(rmse_z_500[:,:,1], axis=1), y2=np.amax(rmse_z_500[:,:,1], axis=1), label=\"Ensemble Members\", color=\"#6cfc9c\")\n",
    "\n",
    "# plt.plot(rmse_ensemble_mean_z_500[:,0], rmse_ensemble_mean_z_500[:,1], label=\"Ensemble Mean\", color=\"#6cfc9c\", linestyle=\"dashed\")\n",
    "\n",
    "plt.ylabel(\"RMSE $z_{500}$ $[m^2/s^2]$\")\n",
    "plt.xlabel(\"Lead time [days]\")\n",
    "plt.ylim(0,900)\n",
    "plt.xlim(0,5.5)\n",
    "plt.legend(loc=\"upper left\")\n",
    "\n",
    "plt.title(\"RMSE Over Lead Time, Geopotential @ 500hPa\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"images/performance_leadtime_version_3.jpg\", dpi=450)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# t_850\n",
    "\n",
    "# extracted from Rasp & Thuerey paper with https://automeris.io/WebPlotDigitizer/\n",
    "\n",
    "data_ifs_baseline = np.array([[-0.015792798483891368, 0.7045406688489448],\n",
    "                                [0.22109917877447893, 0.6973238385114566],\n",
    "                                [0.4769425142135184, 0.7848326920500011],\n",
    "                                [0.7359444093493368, 0.7890129979517222],\n",
    "                                [0.9823120656980417, 0.8802953731886141],\n",
    "                                [1.2413139608338597, 0.8996271942418499],\n",
    "                                [1.4845230574857864, 1.0022684201458683],\n",
    "                                [1.7245735944409348, 1.0139957694442847],\n",
    "                                [1.9835754895767523, 1.1166609238308545],\n",
    "                                [2.2394188250157923, 1.1359879591875806],\n",
    "                                [2.492103600758054, 1.2348556633932501],\n",
    "                                [2.7384712571067586, 1.2579562204483241],\n",
    "                                [2.9785217940619075, 1.3568047818679534],\n",
    "                                [3.2564750473783954, 1.4064683474032815],\n",
    "                                [3.4838913455464304, 1.512873523612627],\n",
    "                                [3.73973468098547, 1.5587157104845035],\n",
    "                                [3.99557801642451, 1.6765275943260782],\n",
    "                                [4.229311433986102, 1.7223362813223835],\n",
    "                                [4.523057485786481, 1.8629328662493543],\n",
    "                                [4.750473783954516, 1.9163077394283965],\n",
    "                                [4.996841440303221, 2.0416810237561975]\n",
    "                                ])\n",
    "\n",
    "data_rasp_thuerey_best = np.array([[0.2368919772583702, 0.8109841306303713],\n",
    "                                    [0.98547062539482, 0.9825728861578513],\n",
    "                                    [2.9911560328490205, 1.6522784701085396],\n",
    "                                    [5.003158559696778, 2.5303269587855817],\n",
    "                                    ])\n",
    "\n",
    "\n",
    "data_ifs_baseline = data_ifs_baseline.reshape(-1,2)\n",
    "data_ifs_baseline[:,0] = data_ifs_baseline[:,0]\n",
    "\n",
    "data_rasp_thuerey_best = data_rasp_thuerey_best.reshape(-1,2)\n",
    "data_rasp_thuerey_best[:,0] = data_rasp_thuerey_best[:,0]\n",
    "\n",
    "\n",
    "data_direct_cnn = np.array([[3,2.87], [5,3.37]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,6))\n",
    "plt.plot(data_ifs_baseline[:,0], data_ifs_baseline[:,1], label=\"Operational Model\", color=\"k\", linestyle=\"dotted\")\n",
    "\n",
    "plt.plot(data_rasp_thuerey_best[:,0], data_rasp_thuerey_best[:,1], label=\"Rasp&Thuerey, best model\", color=\"k\", linestyle=\"dashed\")\n",
    "\n",
    "plt.scatter(data_direct_cnn[:,0], data_direct_cnn[:,1], label=\"Direct CNN (Rasp 2020)\", color=\"k\",marker=\"+\")\n",
    "\n",
    "plt.fill_between(x=rmse_t_850[:,0,0], y1=np.amin(rmse_t_850[:,:,1], axis=1), y2=np.amax(rmse_t_850[:,:,1], axis=1), label=\"Ensemble Members\", color=\"#6cfc9c\")\n",
    "\n",
    "plt.plot(rmse_ensemble_mean_t_850[:,0], rmse_ensemble_mean_t_850[:,1], label=\"Ensemble Mean\", color=\"#6cfc9c\", linestyle=\"dashed\")\n",
    "\n",
    "plt.ylabel(\"RMSE $T_{850}$ $[k]$\")\n",
    "plt.xlabel(\"Lead time [days]\")\n",
    "plt.ylim(0,5)\n",
    "plt.xlim(0,5.5)\n",
    "plt.legend(loc=\"upper left\")\n",
    "\n",
    "plt.title(\"Performance as a Function of Lead Time, T_850\")\n",
    "plt.tight_layout()\n",
    "# plt.savefig(\"/home/wider/Projects/diffusion-models-for-weather-prediction/images/performance_leadtime_version_0.jpg\", dpi=450)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "WD_model",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.15"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}