notebook/extra/forecast_hydrographs.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f18cbd88-e9a2-4379-adeb-0031ee49d4d9",
   "metadata": {},
   "source": [
    "# Forecast hydrographs\n",
    "***\n",
    "\n",
    "**Author**: Chus Casado Rodríguez<br>\n",
    "**Date**: 21-02-2024<br>\n",
    "\n",
    "\n",
    "**Introduction**:<br>\n",
    "\n",
    "This notebook is a test on how to blend the discharge simulations from the 4 NWPs into a single, \"blended\" forecast hydrograph.\n",
    "\n",
    "Two questions are to be solved:\n",
    "\n",
    "1. Is it correct to apply the Brier weights derived for the 5-year threshold to any magnitude of discharge?\n",
    "2. In the _Brier weighted_ approach, how do we create the \"blended forecast hydrograph\"?\n",
    "\n",
    "To answer the first question, I load the Brier weights derived for several return periods (2, 5 and 20) and compare them. We find out that there are difference in the distribution of weights, but the changes are minor.\n",
    "\n",
    "To answer the second question, I created a plot comparing the \"blended\" hydrograph in the _member weighted_ approach —which is very intuitive— with that of the _Brier weighted_ approach. I've search for real flood events that exceeded the 100-year return period, to make sure that applying the 5-year threshold does not affect the blended hydrograph at low recurrence events. The box plot shows that _member weighted_ and _Brier weighted_ obtain similar boxes (1st and 3rd quartile), but the median tends to be larger in the _Brier weighted_ approach."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "731c2e02-2aab-4019-a982-3d9e8143a8ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ['USE_PYGEOS'] = '0'\n",
    "os.chdir('../')\n",
    "import sys\n",
    "sys.path.append('../py')\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "from datetime import datetime, timedelta\n",
    "from pathlib import Path\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "from matplotlib.patches import Patch\n",
    "from matplotlib import cm\n",
    "from matplotlib.colors import ListedColormap\n",
    "from tqdm.notebook import tqdm\n",
    "import yaml\n",
    "\n",
    "from config import Config\n",
    "from plot.results import plot_brier_skill, plot_weights\n",
    "from plot.maps import create_cmap, combine_cmaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e9b1c2db-8d50-4e4d-b3e8-b393b26966b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "models = {'COS': {'members': 20, 'leadtimes': 22},\n",
    "          'DWD': {'members': 1, 'leadtimes': 28},\n",
    "          'EUD': {'members': 1, 'leadtimes': 40},\n",
    "          'EUE': {'members': 51, 'leadtimes': 40},}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a844f5f7-8eab-4e90-b89c-6eb2dc41a271",
   "metadata": {},
   "source": [
    "## 1 Configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9518c7f7-89f8-4442-98c3-a35368eea8f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# station\n",
    "STN = 109\n",
    "# start and end of the period for which the discharge reanalysis will be extracted\n",
    "START, END = datetime(2021, 7, 1), datetime(2021, 7, 31)\n",
    "# forecast to be plotted\n",
    "FORECAST = '2021071412'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0a4f4c4c-5760-40db-9890-c1dca52c9940",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load configuration file\n",
    "config_path = Path('../conf')\n",
    "config = Config.load_from_yaml(config_path / 'config_COMB_leadtime_ranges.yml')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80f0dbba-ddab-40d8-a69b-ae90b04e3753",
   "metadata": {},
   "source": [
    "### 1.1 Reporting points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "014bf14f-6e25-433a-89fc-8e842fee42b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# area threshold\n",
    "AREA_THRESHOLD = config.reporting_points['area']\n",
    "\n",
    "# reporting points\n",
    "PATH_STATIONS = config.reporting_points['output']\n",
    "FILE_STATIONS = PATH_STATIONS / f'reporting_points_over_{AREA_THRESHOLD}km2.parquet'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e10fd8c2-1542-485e-99bd-75f13882f4bd",
   "metadata": {},
   "source": [
    "### 1.3 Discharge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a14c96de-4b67-4f18-95e4-dec6544fdc88",
   "metadata": {},
   "outputs": [],
   "source": [
    "PATH_DIS_REANALYSIS = config.discharge['output']['reanalysis']\n",
    "PATH_DIS_FORECAST = config.discharge['input']['forecast']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ade27f48-fa3a-4290-9982-d85768d26384",
   "metadata": {},
   "source": [
    "### 1.2 Confusion matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "be1ee0d1-6769-407c-9bce-0678f9fde013",
   "metadata": {},
   "outputs": [],
   "source": [
    "# type of experiment: individual models (NWP) or combined (COMB)\n",
    "EXP = config.confusion_matrix['experiment']\n",
    "\n",
    "# return period\n",
    "RP = config.discharge['return_period']['threshold']\n",
    "\n",
    "# path where the weights were saved\n",
    "PATH_CM = config.confusion_matrix['output']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "052b1b6a-f794-4d69-90b3-87cccc2f6ce7",
   "metadata": {},
   "source": [
    "## 2 Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "446d765a-70fd-406d-9f1c-99349516a394",
   "metadata": {},
   "source": [
    "### 2.1 Reporting points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a097ef7c-2beb-4e70-8de9-db4b5e91b9ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no. stations:\t\t\t1\n"
     ]
    }
   ],
   "source": [
    "stations = pd.read_parquet(FILE_STATIONS)\n",
    "stations = pd.DataFrame(stations.loc[STN]).transpose()\n",
    "print('no. stations:\\t\\t\\t{0}'.format(stations.shape[0]))\n",
    "\n",
    "thresholds = stations[['rl1.5', 'rl2', 'rl5', 'rl20', 'rl100']].squeeze()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a60131d7-1cc2-4b50-b5a1-8bb9f0648bff",
   "metadata": {},
   "source": [
    "### 2.2 Discharge\n",
    "#### Reanalysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a3038fc7-0d0c-4986-959c-e45ef8eef5af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no. observed events:\t1\n"
     ]
    }
   ],
   "source": [
    "# load timeseries of discharge reanalysis\n",
    "Qobs = xr.open_dataarray(PATH_DIS_REANALYSIS / f'{STN:04}.nc').to_pandas()\n",
    "\n",
    "# observed events\n",
    "obs = (Qobs > thresholds[f'rl{RP}']).astype(int).loc[START + timedelta(days=10):END]\n",
    "print('no. observed events:\\t{0}'.format((np.diff(obs) == 1).sum()))\n",
    "obs = xr.DataArray(obs, coords={'datetime': obs.index})\n",
    "\n",
    "# trim observed discharge to the period\n",
    "Qobs = Qobs.loc[START:END]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a269e1f-1fe4-495d-a25f-696d6c70204d",
   "metadata": {},
   "source": [
    "#### Forecast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "07cfec05-4966-43c3-bc36-5a6a5b6ec989",
   "metadata": {},
   "outputs": [],
   "source": [
    "# year and month of the forecast\n",
    "yyyy = FORECAST[:4]\n",
    "mm = FORECAST[4:6]\n",
    "\n",
    "# load forecasted discharge\n",
    "dis_model = {}\n",
    "for model, attributes in models.items():\n",
    "    # open dataaray with dicharge data\n",
    "    file = PATH_DIS_FORECAST / model / f'{yyyy}/{mm}/{model}{FORECAST}.nc'\n",
    "    da = xr.open_dataarray(file).isel(time=slice(1, None))\n",
    "    da['time'] = da.time - np.timedelta64(6, 'h')\n",
    "    # limit the forecast to its maximum leadtime\n",
    "    if len(da.time) > attributes['leadtimes']:\n",
    "        da = da.isel(time=slice(None, attributes['leadtimes']))\n",
    "    if model == 'EUE':\n",
    "        time = da.time.data.copy()\n",
    "    da = da.rename({'time': 'leadtime'})\n",
    "    da['leadtime'] = range(6, attributes['leadtimes'] * 6 + 1, 6)\n",
    "    df = da.sel(stations=str(STN)).to_pandas()\n",
    "    if isinstance(df, pd.Series):\n",
    "        df = pd.DataFrame(df).transpose()\n",
    "    df.index = [f'{model}-{i:02}' for i, idx in enumerate(df.index)]\n",
    "    dis_model[model] = df\n",
    "    # dis = pd.concat((dis, df), axis=0)\n",
    "\n",
    "dis = pd.concat([df for model, df in dis_model.items()], axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb110235-5ce8-4d6d-9207-a839b248dd04",
   "metadata": {
    "tags": []
   },
   "source": [
    "### 2.3 Brier weights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f51d38bc-8caf-4403-9db2-cbd002eafac4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1350x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# load matrix of weights\n",
    "weights = xr.Dataset({str(rp): xr.open_dataarray(PATH_CM / f'{rp}/{EXP}/weighing/weights_brier.nc') for rp in [2, 5, 20]})\n",
    "\n",
    "# heatmap of weights\n",
    "BurOr = combine_cmaps('Blues_r', 'Oranges', .2, .05, 'weights')\n",
    "plot_weights(weights.reindex(model=['EUE', 'COS', 'EUD', 'DWD']),\n",
    "             cmap=BurOr,\n",
    "             save=None)#f'{path_weights}/brier_weights_vs_return_period.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2b24a53e-6d5d-4236-80af-bc6e2c9337a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# create matrix of weights with 6 h time resolution\n",
    "weights_6h = xr.DataArray(coords={'model': ['COS', 'DWD', 'EUD', 'EUE'],\n",
    "                                  'leadtime': range(6, 241, 6)},\n",
    "                          dims=['model', 'leadtime'])\n",
    "for lt in weights_6h.leadtime.data:\n",
    "    if lt in weights[f'{RP}'].leadtime.data:\n",
    "        weights_6h.loc[{'leadtime': lt}] = weights[f'{RP}'].sel(leadtime=lt)\n",
    "    else:\n",
    "        weights_6h.loc[{'leadtime': lt}] = weights[f'{RP}'].sel(leadtime=6 + lt)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2af12b79-a9d8-47fb-ad60-de0ea96fe4e5",
   "metadata": {},
   "source": [
    "## 3 Forecast hydrographs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f327b4d4-48c6-417a-ad89-bbf5f4ed8af1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# settings needed for all plots\n",
    "fc = datetime.strptime(FORECAST, '%Y%m%d%H')\n",
    "st, en = fc - timedelta(days=.5), fc + timedelta(days=10)\n",
    "ymax = thresholds['rl100'] * 2\n",
    "width = .105 # of the box plots"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb41574d-4b62-43c6-84c1-7c8ccfbb206c",
   "metadata": {},
   "source": [
    "### 3.2 Comparison of NWPs "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8f88ac69-5dec-4d3a-bfe8-522fbc3518f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 4))\n",
    "\n",
    "# reanalysis\n",
    "ax.plot(Qobs, c='k', lw=1, zorder=5, label='reanalysis')\n",
    "\n",
    "# EUD\n",
    "df = dis_model['EUD'].transpose()['EUD-00']\n",
    "df.index = [mdates.date2num(fc + timedelta(hours=lt)) for lt in df.index]\n",
    "ax.plot(df, c='saddlebrown', lw=1, zorder=5, label='EUD')\n",
    "\n",
    "# DWD\n",
    "df = dis_model['DWD'].transpose()['DWD-00']\n",
    "df.index = [mdates.date2num(fc + timedelta(hours=lt)) for lt in df.index]\n",
    "ax.plot(df, c='seagreen', lw=1, zorder=5, label='DWD')\n",
    "\n",
    "\n",
    "# COSMO-LEPS\n",
    "for lt in dis_model['COS'].columns:\n",
    "    cbox1 = plt.get_cmap('Blues')(0.25)\n",
    "    cline1 = plt.get_cmap('Blues')(0.75)\n",
    "    pos = mdates.date2num(fc + timedelta(hours=lt - 1.25))\n",
    "    ax.boxplot(dis_model['COS'][lt],\n",
    "               positions=[pos],\n",
    "               widths=width,\n",
    "               patch_artist=True,\n",
    "               showcaps=False,\n",
    "               boxprops={'facecolor': cbox1, 'edgecolor': 'none'},\n",
    "               medianprops={'color': cline1},\n",
    "               whiskerprops={'color': cline1},\n",
    "               flierprops={'markersize': 0})\n",
    "        \n",
    "# ECMWF-ENS\n",
    "for lt in dis_model['EUE'].columns:\n",
    "    cbox2 = plt.get_cmap('Oranges')(0.25)\n",
    "    cline2 = plt.get_cmap('Oranges')(0.75)\n",
    "    pos = mdates.date2num(fc + timedelta(hours=lt + 1.25))\n",
    "    ax.boxplot(dis_model['EUE'][lt],\n",
    "               positions=[pos],\n",
    "               widths=width,\n",
    "               patch_artist=True,\n",
    "               showcaps=False,\n",
    "               boxprops={'facecolor': cbox2, 'edgecolor': 'none'},\n",
    "               medianprops={'color': cline2},\n",
    "               whiskerprops={'color': cline2},\n",
    "               flierprops={'markersize': 0})\n",
    "\n",
    "# return periods\n",
    "if thresholds is not None:\n",
    "    x = [0, 246]\n",
    "    for rp in [2, 5, 20, 100]:\n",
    "        ax.axhline(thresholds[f'rl{rp}'], color='k', ls=':', lw=.5, zorder=0)\n",
    "        ax.text(st + timedelta(hours=1), thresholds[f'rl{rp}'], f'Q{rp}', ha='left', va='bottom')\n",
    "\n",
    "# settings\n",
    "xticks = pd.date_range(st, en, freq='d')\n",
    "xticklabels = [x.strftime('%d-%b') for x in xticks]\n",
    "ax.set(xlim=(st, en),\n",
    "       # xlabel='date time',\n",
    "       xticks = xticks,\n",
    "       xticklabels=xticklabels,\n",
    "       ylim=(-10, ymax),\n",
    "       ylabel='discharge (m3/s)',\n",
    "       # yticks=np.concatenate((np.zeros((1,)), thresholds.values[1:])),\n",
    "       # yticklabels=[0] + ['Q' + x[2:] for x in thresholds.index[1:]],\n",
    "       title='forecast ' + datetime.strptime(FORECAST, '%Y%m%d%H').strftime('%Y-%m-%d %HUTC'),\n",
    "      )\n",
    "ax.tick_params(axis='x', rotation=90)\n",
    "\n",
    "# legend\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "handles.append(Patch(facecolor=cbox1, edgecolor='none'))\n",
    "labels.append('COS')\n",
    "boxplot_legend = Patch(facecolor=cbox2, edgecolor='none')\n",
    "handles.append(Patch(facecolor=cbox2, edgecolor='none'))\n",
    "labels.append('EUE')\n",
    "fig.legend(handles, labels, frameon=False, bbox_to_anchor=[.91, .6, .1, .3]);\n",
    "\n",
    "# plt.savefig(f'NWP_{STN}_{FORECAST}.jpg', dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e85e583-8878-4cf2-b6f5-02cf75cf1fe8",
   "metadata": {},
   "source": [
    "### 3.2 _Brier weighted_ versus _member weighted_ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0a9aea9a-c9d3-4c1d-b060-07863a38e3d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 4))\n",
    "\n",
    "# reanalysis\n",
    "ax.plot(Qobs, c='k', lw=1, zorder=5, label='reanalysis')\n",
    "\n",
    "# forecasts\n",
    "for lt in dis.columns:\n",
    "    \n",
    "    # MEMBER WEIGHTED\n",
    "    cbox1 = plt.get_cmap('Blues')(0.25)\n",
    "    cline1 = plt.get_cmap('Blues')(0.75)\n",
    "    pos = mdates.date2num(fc + timedelta(hours=lt - 1.25))\n",
    "    ax.boxplot(dis[lt].dropna(),\n",
    "               positions=[pos],\n",
    "               widths=width,\n",
    "               patch_artist=True,\n",
    "               showcaps=False,\n",
    "               boxprops={'facecolor': cbox1, 'edgecolor': 'none'},\n",
    "               medianprops={'color': cline1},\n",
    "               whiskerprops={'color': cline1},\n",
    "               flierprops={'markersize': 0})\n",
    "        \n",
    "    # BRIER WEIGHTED\n",
    "    \n",
    "    # discharge values\n",
    "    q = dis[lt].dropna().sort_values()\n",
    "    members = q.shape[0]\n",
    "    # print(lt, members)\n",
    "\n",
    "    # weights\n",
    "    w = weights_6h.sel(leadtime=lt).to_pandas()\n",
    "    w = pd.Series({model: v / models[model]['members'] for model, v in w.items()})\n",
    "    \n",
    "    assert np.isclose(np.nansum([v * models[model]['members'] for model, v in w.items()]), 1., rtol=1e-3), 'The sum of weights is not 1'\n",
    "    \n",
    "    # cumulative probability of non-exceedance\n",
    "    p = pd.Series([w[idx.split('-')[0]] for idx in q.index], index=q.index).cumsum()\n",
    "    \n",
    "    assert np.isclose(p.max(), 1., rtol=1e-3), 'The cumulative non-exceedance probability is not 1'\n",
    "    \n",
    "    # discharge quantiles\n",
    "    idx = [(p - x).abs().idxmin() for x in [.25, .5, .75]]\n",
    "    quantiles = q.loc[idx].to_list()\n",
    "    # whiskers\n",
    "    iqr = quantiles[2] - quantiles[0]\n",
    "    lw = max(quantiles[0] - 1.5 * iqr, q.min())\n",
    "    uw = min(quantiles[2] + 1.5 * iqr, q.max())\n",
    "\n",
    "    data = [lw] + quantiles + [uw]\n",
    "    cbox2 = plt.get_cmap('Oranges')(0.25)\n",
    "    cline2 = plt.get_cmap('Oranges')(0.75)\n",
    "    pos = mdates.date2num(fc + timedelta(hours=lt + 1.25))\n",
    "    ax.boxplot(data,\n",
    "               positions=[pos],\n",
    "               widths=width,\n",
    "               patch_artist=True,\n",
    "               showcaps=False,\n",
    "               boxprops={'facecolor': cbox2, 'edgecolor': 'none'},\n",
    "               medianprops={'color': cline2},\n",
    "               whiskerprops={'color': cline2},\n",
    "               flierprops={'markersize': 0});\n",
    "\n",
    "# return periods\n",
    "if thresholds is not None:\n",
    "    x = [0, 246]\n",
    "    for rp in [2, 5, 20, 100]:\n",
    "        ax.axhline(thresholds[f'rl{rp}'], color='k', ls=':', lw=.5, zorder=0)\n",
    "        ax.text(st + timedelta(hours=1), thresholds[f'rl{rp}'], f'Q{rp}', ha='left', va='bottom')\n",
    "\n",
    "# settings\n",
    "xticks = pd.date_range(st, en, freq='d')\n",
    "xticklabels = [x.strftime('%d-%b') for x in xticks]\n",
    "ax.set(xlim=(st, en),\n",
    "       # xlabel='date time',\n",
    "       xticks = xticks,\n",
    "       xticklabels=xticklabels,\n",
    "       ylim=(-10, ymax),\n",
    "       ylabel='discharge (m3/s)',\n",
    "       # yticks=np.concatenate((np.zeros((1,)), thresholds.values[1:])),\n",
    "       # yticklabels=[0] + ['Q' + x[2:] for x in thresholds.index[1:]],\n",
    "       title='forecast ' + datetime.strptime(FORECAST, '%Y%m%d%H').strftime('%Y-%m-%d %HUTC'),\n",
    "      )\n",
    "ax.tick_params(axis='x', rotation=90)\n",
    "\n",
    "# legend\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "handles.append(Patch(facecolor=cbox1, edgecolor='none'))\n",
    "labels.append('MW')\n",
    "boxplot_legend = Patch(facecolor=cbox2, edgecolor='none')\n",
    "handles.append(Patch(facecolor=cbox2, edgecolor='none'))\n",
    "labels.append('BW')\n",
    "fig.legend(handles, labels, frameon=False, bbox_to_anchor=[.91, .6, .1, .3]);\n",
    "\n",
    "# plt.savefig(f'MW_vs_BW_{STN}_{FORECAST}.jpg', dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddc63a1b-0e5f-4fbd-8310-b7975d37a1e3",
   "metadata": {},
   "source": [
    "### 3.3 Everything everywhere all at once "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8117bce7-cb87-48bd-9555-e693b41b3896",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=2, figsize=(12, 8), sharex=True, sharey=True)\n",
    "\n",
    "# reanalysis\n",
    "for ax in axes:\n",
    "    ax.plot(Qobs, c='k', lw=1, zorder=5, label='reanalysis')\n",
    "\n",
    "# forecasts\n",
    "for lt in dis.columns:\n",
    "    \n",
    "    # MEMBER WEIGHTED\n",
    "    cbox1 = plt.get_cmap('Blues')(0.25)\n",
    "    cline1 = plt.get_cmap('Blues')(0.75)\n",
    "    pos = mdates.date2num(fc + timedelta(hours=lt - 1.25))\n",
    "    axes[0].boxplot(dis[lt].dropna(),\n",
    "               positions=[pos],\n",
    "               widths=width,\n",
    "               patch_artist=True,\n",
    "               showcaps=False,\n",
    "               boxprops={'facecolor': cbox1, 'edgecolor': 'none'},\n",
    "               medianprops={'color': cline1},\n",
    "               whiskerprops={'color': cline1},\n",
    "               flierprops={'markersize': 0})\n",
    "        \n",
    "    # BRIER WEIGHTED\n",
    "    \n",
    "    # discharge values\n",
    "    q = dis[lt].dropna().sort_values()\n",
    "    members = q.shape[0]\n",
    "    # print(lt, members)\n",
    "\n",
    "    # weights\n",
    "    w = weights_6h.sel(leadtime=lt).to_pandas()\n",
    "    w = pd.Series({model: v / models[model]['members'] for model, v in w.items()})\n",
    "    \n",
    "    assert np.isclose(np.nansum([v * models[model]['members'] for model, v in w.items()]), 1., rtol=1e-3), 'The sum of weights is not 1'\n",
    "    \n",
    "    # cumulative probability of non-exceedance\n",
    "    p = pd.Series([w[idx.split('-')[0]] for idx in q.index], index=q.index).cumsum()\n",
    "    \n",
    "    assert np.isclose(p.max(), 1., rtol=1e-3), 'The cumulative non-exceedance probability is not 1'\n",
    "    \n",
    "    # discharge quantiles\n",
    "    idx = [(p - x).abs().idxmin() for x in [.25, .5, .75]]\n",
    "    quantiles = q.loc[idx].to_list()\n",
    "    # whiskers\n",
    "    iqr = quantiles[2] - quantiles[0]\n",
    "    lw = max(quantiles[0] - 1.5 * iqr, q.min())\n",
    "    uw = min(quantiles[2] + 1.5 * iqr, q.max())\n",
    "\n",
    "    data = [lw] + quantiles + [uw]\n",
    "    cbox2 = plt.get_cmap('Oranges')(0.25)\n",
    "    cline2 = plt.get_cmap('Oranges')(0.75)\n",
    "    pos = mdates.date2num(fc + timedelta(hours=lt + 1.25))\n",
    "    axes[0].boxplot(data,\n",
    "               positions=[pos],\n",
    "               widths=width,\n",
    "               patch_artist=True,\n",
    "               showcaps=False,\n",
    "               boxprops={'facecolor': cbox2, 'edgecolor': 'none'},\n",
    "               medianprops={'color': cline2},\n",
    "               whiskerprops={'color': cline2},\n",
    "               flierprops={'markersize': 0});\n",
    "    \n",
    "# legend\n",
    "handles, labels = axes[0].get_legend_handles_labels()\n",
    "handles.append(Patch(facecolor=cbox1, edgecolor='none'))\n",
    "labels.append('MW')\n",
    "boxplot_legend = Patch(facecolor=cbox2, edgecolor='none')\n",
    "handles.append(Patch(facecolor=cbox2, edgecolor='none'))\n",
    "labels.append('BW')\n",
    "axes[0].legend(handles, labels, frameon=False, loc=1);\n",
    "\n",
    "\n",
    "# EUD\n",
    "df = dis_model['EUD'].transpose()['EUD-00']\n",
    "df.index = [mdates.date2num(fc + timedelta(hours=lt)) for lt in df.index]\n",
    "axes[1].plot(df, c='maroon', lw=1, zorder=5, label='EUD')\n",
    "\n",
    "# DWD\n",
    "df = dis_model['DWD'].transpose()['DWD-00']\n",
    "df.index = [mdates.date2num(fc + timedelta(hours=lt)) for lt in df.index]\n",
    "axes[1].plot(df, c='blueviolet', lw=1, zorder=5, label='DWD')\n",
    "\n",
    "# COSMO-LEPS\n",
    "for lt in dis_model['COS'].columns:\n",
    "    cbox1 = plt.get_cmap('Greens')(0.25)\n",
    "    cline1 = plt.get_cmap('Greens')(0.75)\n",
    "    pos = mdates.date2num(fc + timedelta(hours=lt - 1.25))\n",
    "    axes[1].boxplot(dis_model['COS'][lt],\n",
    "               positions=[pos],\n",
    "               widths=width,\n",
    "               patch_artist=True,\n",
    "               showcaps=False,\n",
    "               boxprops={'facecolor': cbox1, 'edgecolor': 'none'},\n",
    "               medianprops={'color': cline1},\n",
    "               whiskerprops={'color': cline1},\n",
    "               flierprops={'markersize': 0})\n",
    "        \n",
    "# ECMWF-ENS\n",
    "for lt in dis_model['EUE'].columns:\n",
    "    cbox2 = plt.get_cmap('Reds')(0.25)\n",
    "    cline2 = plt.get_cmap('Reds')(0.75)\n",
    "    pos = mdates.date2num(fc + timedelta(hours=lt + 1.25))\n",
    "    axes[1].boxplot(dis_model['EUE'][lt],\n",
    "               positions=[pos],\n",
    "               widths=width,\n",
    "               patch_artist=True,\n",
    "               showcaps=False,\n",
    "               boxprops={'facecolor': cbox2, 'edgecolor': 'none'},\n",
    "               medianprops={'color': cline2},\n",
    "               whiskerprops={'color': cline2},\n",
    "               flierprops={'markersize': 0})\n",
    "    \n",
    "# legend\n",
    "handles, labels = axes[1].get_legend_handles_labels()\n",
    "handles.append(Patch(facecolor=cbox1, edgecolor='none'))\n",
    "labels.append('COS')\n",
    "boxplot_legend = Patch(facecolor=cbox2, edgecolor='none')\n",
    "handles.append(Patch(facecolor=cbox2, edgecolor='none'))\n",
    "labels.append('EUE')\n",
    "axes[1].legend(handles, labels, frameon=False, loc=1);\n",
    "\n",
    "# return periods\n",
    "for ax in axes:\n",
    "    if thresholds is not None:\n",
    "        x = [0, 246]\n",
    "        for rp in [2, 5, 20, 100]:\n",
    "            ax.axhline(thresholds[f'rl{rp}'], color='k', ls=':', lw=.5, zorder=0)\n",
    "            ax.text(st + timedelta(hours=1), thresholds[f'rl{rp}'], f'Q{rp}', ha='left', va='bottom')\n",
    "\n",
    "    # settings\n",
    "    xticks = pd.date_range(st, en, freq='d')\n",
    "    xticklabels = [x.strftime('%d-%b') for x in xticks]\n",
    "    ax.set(xlim=(st, en),\n",
    "           # xlabel='date time',\n",
    "           xticks = xticks,\n",
    "           xticklabels=xticklabels,\n",
    "           ylim=(-10, ymax),\n",
    "           ylabel='discharge (m3/s)',\n",
    "           # yticks=np.concatenate((np.zeros((1,)), thresholds.values[1:])),\n",
    "           # yticklabels=[0] + ['Q' + x[2:] for x in thresholds.index[1:]],\n",
    "           title='forecast ' + datetime.strptime(FORECAST, '%Y%m%d%H').strftime('%Y-%m-%d %HUTC'),\n",
    "          )\n",
    "    ax.tick_params(axis='x', rotation=90)\n",
    "\n",
    "# plt.savefig(f'MW_vs_BW_vs_NWP_{STN}_{FORECAST}.jpg', dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98437fd6-88db-4540-9b23-c15a3eb2135d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}