{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "88c246cb-1c4c-49ee-adaf-6893c13d403b",
   "metadata": {},
   "source": [
    "# Klimaindikatoren für Europa\n",
    "\n",
    "Dieses Datenset enthält Klimadaten, die aus Reanalyse- und Modellsimulationen stammen und im Copernicus Climate Data Store (CDS) verfügbar sind. Es bietet Klimaindizes, die die Auswirkungen von Klimavariabilität und -wandel auf Sektoren wie Gesundheit, Landwirtschaft, Energie und Wasserwirtschaft beschreiben. Diese Indizes sind wichtig für die Anpassungsplanung auf europäischer und nationaler Ebene und wurden von der Europäischen Umweltagentur (EEA) entwickelt, um die Bedürfnisse nationaler Klimaanpassungsinitiativen in der EU zu erfüllen.\n",
    "\n",
    "Die Indizes basieren auf Daten aus verschiedenen CDS-Datensätzen und umfassen Temperatur-, Niederschlags- und Windindikatoren. Sie wurden aus den Datensätzen „Climate and energy indicators for Europe from 2005 to 2100“ und „ERA5 hourly data on single levels from 1940 to present“ berechnet. Weitere Indizes stammen aus thematischen Projekten des CDS.\n",
    "\n",
    "**Informationen zum Datensatz:**\n",
    "* Quelle: [Climate Indicators](https://cds.climate.copernicus.eu/datasets/sis-ecde-climate-indicators?tab=download)\n",
    "* Author: T. Tewes (City of Konstanz)\n",
    "* Notebook Version: 1.2 (Updated: December 13, 2024)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fea0ed5c",
   "metadata": {},
   "source": [
    "## 1. Festlegen der Pfade und Arbeitsverzeichnisse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3706e3e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "''' ---- Verzeichnisse hier angeben ---- '''\n",
    "download_folder = r\".\\data\\climate-indicators\\download\"\n",
    "working_folder = r\".\\data\\climate-indicators\\working\"\n",
    "geotiff_folder = r\".\\data\\climate-indicators\\geotiff\"\n",
    "csv_folder = r\".\\data\\climate-indicators\\csv\"\n",
    "output_folder = r\".\\data\\climate-indicators\\output\"\n",
    "''' ----- Ende der Angaben ---- '''\n",
    "\n",
    "os.makedirs(download_folder, exist_ok=True)\n",
    "os.makedirs(working_folder, exist_ok=True)\n",
    "os.makedirs(geotiff_folder, exist_ok=True)\n",
    "os.makedirs(csv_folder, exist_ok=True)\n",
    "os.makedirs(output_folder, exist_ok=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c345401",
   "metadata": {},
   "source": [
    "## 2. Herunterladen und Entpacken des Datensatzes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96a179fd",
   "metadata": {},
   "source": [
    "### 2.1 Authentifizierung"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9e224adf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cdsapi\n",
    "\n",
    "def main():\n",
    "    # API-Key für die Authentifizierung\n",
    "    api_key = \"fdae60fd-35d4-436f-825c-c63fedab94a4\"\n",
    "    api_url = \"https://cds.climate.copernicus.eu/api\"\n",
    "\n",
    "    # Erstellung des CDS-API-Clients\n",
    "    client = cdsapi.Client(url=api_url, key=api_key)\n",
    "    return client"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "465476da",
   "metadata": {},
   "source": [
    "### 2.2 Definieren Sie die „request“ und laden Sie den Datensatz herunter"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0149df2",
   "metadata": {},
   "source": [
    "Definieren Sie zusätzliche Anfragefelder, um sicherzustellen, dass die Anfrage innerhalb der Dateigrößenbeschränkung bleibt. Bei der Arbeit mit Geodaten oder APIs, die Karten- oder Satellitenbilder zurückgeben, kann die Begrenzung des geografischen Interessengebiets verhindern, dass Anfragen zu groß werden und die Datei- oder Verarbeitungsgrenzen überschreiten. Begrenzungsrahmen (Bounding Boxes) werden verwendet, um das geografische Gebiet für solche Anfragen festzulegen.\n",
    "\n",
    "Die untenstehenden Koordinaten wurden mit dem Tool <a href=\"https://str-ucture.github.io/bbox-extractor/\" target=\"_blank\">BBox Extractor</a> ermittelt.\n",
    "\n",
    "*BBox Extractor ist ein webbasiertes Tool, das Benutzern hilft, interaktiv Begrenzungsrahmen-Koordinaten im WGS84-Format (Breite/Länge) auszuwählen und zu generieren. Dies ist besonders nützlich für APIs oder Datensätze, die eine Eingabe eines geografischen Gebiets erfordern*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d3292922",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Definieren der Begrenzungsrahmen-Koordinaten (WGS84-Format)\n",
    "# Das Koordinatenformat lautet: [Norden, Westen, Süden, Osten]\n",
    "bbox_wgs84_deutschland = [56.0, 5.8, 47.2, 15.0]\n",
    "bbox_wgs84_de_standard = [5.7, 47.1, 15.2, 55.2]\n",
    "bbox_wgs84_konstanz = [47.9, 8.9, 47.6, 9.3]\n",
    "bbox_wgs84_konstanz_standard = [9.0, 47.6, 9.3, 47.8]  # [West, South, East, North]\n",
    "\n",
    "# Alternativ können Sie ein Shapefile für eine präzise geografische Filterung verwenden\n",
    "import geopandas as gpd\n",
    "import math\n",
    "\n",
    "# Beispiel: Shapefile von Konstanz laden (WGS84-Projektion)\n",
    "de_shapefile = r\"./shapefiles/de_boundary.shp\"\n",
    "de_gdf = gpd.read_file(de_shapefile)\n",
    "\n",
    "# Extrahieren Sie den Begrenzungsrahmen des Shapefiles\n",
    "de_bounds = de_gdf.total_bounds\n",
    "\n",
    "# Passen Sie den Begrenzungsrahmen an und puffern Sie ihn, um einen etwas größeren\n",
    "de_bounds_adjusted = [(math.floor(de_bounds[0]* 10)/10)-0.1,\n",
    "                      (math.floor(de_bounds[1]* 10)/10)-0.1,\n",
    "                      (math.ceil(de_bounds[2]* 10)/10)+0.1,\n",
    "                      (math.ceil(de_bounds[3]* 10)/10)+0.1]\n",
    "\n",
    "# Ordnen Sie die Koordinaten in das Format: [Nord, West, Süd, Ost] um.\n",
    "bbox_de_bounds_adjusted = [de_bounds_adjusted[3], de_bounds_adjusted[0],\n",
    "                           de_bounds_adjusted[1], de_bounds_adjusted[2]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "88f3a261",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fall I: Anforderung ist definiert für Herkunft: Projektionen\n",
    "# Es werden Variablen aus der Variablengruppe „Heat and cold“ und „Wet and dry“ ausgewählt.\n",
    "\n",
    "dataset = \"sis-ecde-climate-indicators\"\n",
    "request_rea= {\n",
    "    \"variable\": [\n",
    "        \"growing_degree_days\",\n",
    "        \"heating_degree_days\",\n",
    "        \"cooling_degree_days\",\n",
    "        \"tropical_nights\",\n",
    "        \"hot_days\",\n",
    "        \"warmest_three_day_period\",\n",
    "        \"heatwave_days\",\n",
    "        \"high_utci_days\",\n",
    "        \"frost_days\",\n",
    "        \"total_precipitation\",\n",
    "        \"maximum_consecutive_five_day_precipitation\",\n",
    "        \"extreme_precipitation_total\",\n",
    "        \"frequency_of_extreme_precipitation\",\n",
    "        \"consecutive_dry_days\",\n",
    "        \"duration_of_meteorological_droughts\",\n",
    "        \"magnitude_of_meteorological_droughts\",\n",
    "        \"days_with_high_fire_danger\",\n",
    "        \"extreme_wind_speed_days\",\n",
    "        \"fire_weather_index\"\n",
    "    ],\n",
    "    \"origin\": \"reanalysis\",\n",
    "    \"temporal_aggregation\": [\"yearly\"],\n",
    "    \"spatial_aggregation\": \"gridded\",\n",
    "    \"other_parameters\": [\n",
    "        \"30_c\",\n",
    "        \"35_c\",\n",
    "        \"40_c\"\n",
    "    ],\n",
    "    \"area\": bbox_de_bounds_adjusted\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f007c56e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fall II: Anfrage ist definiert für Herkunft: Projektionen\n",
    "# Es werden Variablen aus der Variablengruppe „Heat and cold“ und „Wet and dry“ ausgewählt.\n",
    "\n",
    "dataset = \"sis-ecde-climate-indicators\"\n",
    "request_proj = {\n",
    "    \"variable\": [\n",
    "        \"growing_degree_days\",\n",
    "        \"heating_degree_days\",\n",
    "        \"cooling_degree_days\",\n",
    "        \"tropical_nights\",\n",
    "        \"hot_days\",\n",
    "        \"warmest_three_day_period\",\n",
    "        \"heatwave_days\",\n",
    "        \"frost_days\",\n",
    "        \"total_precipitation\",\n",
    "        \"maximum_consecutive_five_day_precipitation\",\n",
    "        \"extreme_precipitation_total\",\n",
    "        \"frequency_of_extreme_precipitation\",\n",
    "        \"consecutive_dry_days\",\n",
    "        \"duration_of_meteorological_droughts\",\n",
    "        \"magnitude_of_meteorological_droughts\",\n",
    "        \"days_with_high_fire_danger\",\n",
    "        \"extreme_wind_speed_days\",\n",
    "        \"fire_weather_index\"\n",
    "    ],\n",
    "    \"origin\": \"projections\",\n",
    "    \"gcm\": [\"mpi_esm_lr\"],\n",
    "    \"rcm\": [\"cclm4_8_17\"],\n",
    "    \"experiment\": [\n",
    "        \"rcp4_5\",\n",
    "        \"rcp8_5\"\n",
    "    ],\n",
    "    \"ensemble_member\": [\"r1i1p1\"],\n",
    "    \"temporal_aggregation\": [\"yearly\"],\n",
    "    \"spatial_aggregation\": \"gridded\",\n",
    "    \"other_parameters\": [\n",
    "        \"30_c\",\n",
    "        \"35_c\",\n",
    "        \"40_c\"\n",
    "    ],\n",
    "    \"area\": bbox_de_bounds_adjusted\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b44085e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Datensatz bereits heruntergeladen.\n",
      "Datensatz bereits heruntergeladen.\n"
     ]
    }
   ],
   "source": [
    "# Führen Sie es aus, um den Datensatz herunterzuladen:\n",
    "def main_retrieve():\n",
    "    for request in [request_rea, request_proj]:\n",
    "        dataset_filename = f\"{dataset}_{request['origin']}_{request['temporal_aggregation'][0]}.zip\"\n",
    "        dataset_filepath = os.path.join(download_folder, dataset_filename)\n",
    "\n",
    "        # Den Datensatz nur herunterladen, wenn er noch nicht heruntergeladen wurde\n",
    "        if not os.path.isfile(dataset_filepath):\n",
    "            # Rufen Sie den CDS-Client nur auf, wenn der Datensatz noch nicht heruntergeladen wurde.\n",
    "            client = main()\n",
    "            # Den Datensatz mit den definierten Anforderungsparametern herunterladen\n",
    "            client.retrieve(dataset, request, dataset_filepath)\n",
    "        else:\n",
    "            print(\"Datensatz bereits heruntergeladen.\")\n",
    "        \n",
    "if __name__ == \"__main__\":\n",
    "    main_retrieve()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c62b6960",
   "metadata": {},
   "source": [
    "### 2.3 Extrahieren Sie die ZIP-Dateien in Ordner"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "86e2ca0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ordner ist nicht leer. Entpacken überspringen.\n",
      "Ordner ist nicht leer. Entpacken überspringen.\n"
     ]
    }
   ],
   "source": [
    "import zipfile\n",
    "\n",
    "for request in [request_rea, request_proj]:\n",
    "    # Definieren Sie den Ordner, in dem die extrahierten Dateien gespeichert werden\n",
    "    dataset_filename = f\"{dataset}_{request['origin']}_{request['temporal_aggregation'][0]}.zip\"\n",
    "    dataset_filepath = os.path.join(download_folder, dataset_filename)\n",
    "\n",
    "    extract_folder = os.path.join(working_folder, f\"{request['origin']}_{request['temporal_aggregation'][0]}\")\n",
    "    os.makedirs(extract_folder, exist_ok=True)\n",
    "\n",
    "    # Entpacken der ZIP-Datei\n",
    "    try:\n",
    "        if not os.listdir(extract_folder):\n",
    "            # Versuchen Sie, die ZIP-Datei zu öffnen und zu extrahieren\n",
    "            with zipfile.ZipFile(dataset_filepath, 'r') as zip_ref:\n",
    "                zip_ref.extractall(extract_folder)\n",
    "                print(f\"Dateien erfolgreich extrahiert nach: {extract_folder}\")\n",
    "        else:\n",
    "            print(\"Ordner ist nicht leer. Entpacken überspringen.\")\n",
    "    except FileNotFoundError:\n",
    "        print(f\"Fehler: Die Datei {dataset_filepath} wurde nicht gefunden.\")\n",
    "    except zipfile.BadZipFile:\n",
    "        print(f\"Fehler: Die Datei {dataset_filepath} ist keine gültige ZIP-Datei.\")\n",
    "    except Exception as e:\n",
    "        print(f\"Ein unerwarteter Fehler ist aufgetreten: {e}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "428feed4",
   "metadata": {},
   "source": [
    "## 3. Untersuchen der Metadaten der NetCDF4-Datei"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "87baed80",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Definieren den Ursprung der Daten, entweder „projections“ oder „reanalysis“\n",
    "origin = \"reanalysis\"\n",
    "\n",
    "# Erstellen den Pfad zum Ordner, in dem die extrahierten Daten gespeichert werden\n",
    "extract_folder = os.path.join(working_folder, f\"{origin}_{request['temporal_aggregation'][0]}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "248299d3",
   "metadata": {},
   "source": [
    "### 3.1 Erstellen eines DataFrame mit verfügbaren NetCDF-Dateien"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3185b323",
   "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>filename</th>\n",
       "      <th>ds_variable</th>\n",
       "      <th>ds_origin</th>\n",
       "      <th>ds_temporal_aggregation</th>\n",
       "      <th>variable_name</th>\n",
       "      <th>ds_grid</th>\n",
       "      <th>ds_rcp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>02_growing_degree_da...</td>\n",
       "      <td>growing_degree_days</td>\n",
       "      <td>reanalysis</td>\n",
       "      <td>yearly</td>\n",
       "      <td>t2m</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03_heating_degree_da...</td>\n",
       "      <td>heating_degree_days</td>\n",
       "      <td>reanalysis</td>\n",
       "      <td>yearly</td>\n",
       "      <td>data</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04_cooling_degree_da...</td>\n",
       "      <td>cooling_degree_days</td>\n",
       "      <td>reanalysis</td>\n",
       "      <td>yearly</td>\n",
       "      <td>data</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05_tropical_nights-r...</td>\n",
       "      <td>tropical_nights</td>\n",
       "      <td>reanalysis</td>\n",
       "      <td>yearly</td>\n",
       "      <td>t2m</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>06_hot_days-reanalys...</td>\n",
       "      <td>hot_days</td>\n",
       "      <td>reanalysis</td>\n",
       "      <td>yearly</td>\n",
       "      <td>t2m</td>\n",
       "      <td>30deg</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06_hot_days-reanalys...</td>\n",
       "      <td>hot_days</td>\n",
       "      <td>reanalysis</td>\n",
       "      <td>yearly</td>\n",
       "      <td>t2m</td>\n",
       "      <td>35deg</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>06_hot_days-reanalys...</td>\n",
       "      <td>hot_days</td>\n",
       "      <td>reanalysis</td>\n",
       "      <td>yearly</td>\n",
       "      <td>t2m</td>\n",
       "      <td>40deg</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>07_warmest_three_day...</td>\n",
       "      <td>warmest_three_day_pe...</td>\n",
       "      <td>reanalysis</td>\n",
       "      <td>yearly</td>\n",
       "      <td>t2m</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09_heat_waves_climat...</td>\n",
       "      <td>heat_waves_climatolo...</td>\n",
       "      <td>reanalysis</td>\n",
       "      <td>yearly</td>\n",
       "      <td>data</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10_high_utci_days-re...</td>\n",
       "      <td>high_utci_days</td>\n",
       "      <td>reanalysis</td>\n",
       "      <td>yearly</td>\n",
       "      <td>high_utci_days</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  filename              ds_variable   ds_origin  \\\n",
       "0  02_growing_degree_da...      growing_degree_days  reanalysis   \n",
       "1  03_heating_degree_da...      heating_degree_days  reanalysis   \n",
       "2  04_cooling_degree_da...      cooling_degree_days  reanalysis   \n",
       "3  05_tropical_nights-r...          tropical_nights  reanalysis   \n",
       "4  06_hot_days-reanalys...                 hot_days  reanalysis   \n",
       "5  06_hot_days-reanalys...                 hot_days  reanalysis   \n",
       "6  06_hot_days-reanalys...                 hot_days  reanalysis   \n",
       "7  07_warmest_three_day...  warmest_three_day_pe...  reanalysis   \n",
       "8  09_heat_waves_climat...  heat_waves_climatolo...  reanalysis   \n",
       "9  10_high_utci_days-re...           high_utci_days  reanalysis   \n",
       "\n",
       "  ds_temporal_aggregation   variable_name ds_grid ds_rcp  \n",
       "0                  yearly             t2m    None   None  \n",
       "1                  yearly            data    None   None  \n",
       "2                  yearly            data    None   None  \n",
       "3                  yearly             t2m    None   None  \n",
       "4                  yearly             t2m   30deg   None  \n",
       "5                  yearly             t2m   35deg   None  \n",
       "6                  yearly             t2m   40deg   None  \n",
       "7                  yearly             t2m    None   None  \n",
       "8                  yearly            data    None   None  \n",
       "9                  yearly  high_utci_days    None   None  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import re\n",
    "import pandas as pd\n",
    "import netCDF4 as nc\n",
    "\n",
    "def meta(filename):\n",
    "    # Überprüfen, ob der Dateiname dem erwarteten Muster entspricht\n",
    "    match = re.search(r\"(?P<index>\\w+?)_(?P<ds_variable>[a-zA-Z_]+?)-(?P<ds_origin>\\w+?)-(?P<ds_temporal_aggregation>\\w+)(?:-(?P<ds_stat>min|max|mean))?(?:-(?P<ds_grid>\\d+deg))?(?:-(?P<ds_rcp>rcp_\\d+_\\d+))?\",filename)\n",
    "\n",
    "    # Fehler ausgeben, wenn der Dateiname nicht dem erwarteten Schema entspricht\n",
    "    if not match:\n",
    "        match = re.search(\"Der angegebene Dateiname entspricht nicht dem erwarteten Benennungsschema.\")\n",
    "\n",
    "    # Funktion zum Extrahieren des Variablennamens aus der NetCDF-Datei\n",
    "    def get_nc_variable():\n",
    "        with nc.Dataset(os.path.join(extract_folder, filename), 'r') as nc_dataset:\n",
    "            nc_variable_name = nc_dataset.variables.keys()\n",
    "            return [*nc_variable_name][0]\n",
    "\n",
    "    # Metadaten als Dictionary zurückgeben\n",
    "    return dict(\n",
    "        filename=filename,\n",
    "        path=os.path.join(extract_folder, filename),\n",
    "        # index=match.group('index'),\n",
    "        ds_variable=match.group('ds_variable'),\n",
    "        ds_origin=match.group('ds_origin'),\n",
    "        ds_temporal_aggregation=match.group('ds_temporal_aggregation'),\n",
    "        # ds_stat=match.group('ds_stat'),\n",
    "        variable_name=get_nc_variable(),\n",
    "        ds_grid=match.group('ds_grid'),\n",
    "        ds_rcp=match.group('ds_rcp')\n",
    "    )\n",
    "\n",
    "# Metadaten für alle NetCDF-Dateien im Ordner extrahieren\n",
    "# Das Dictionary 'nc_files' enthält alle relevanten Metadaten der verfügbaren NetCDF4-Dateien\n",
    "# Dieses Dictionary wird später verwendet, um die Dateien in GeoTiff zu konvertieren\n",
    "nc_files = [meta(f) for f in os.listdir(extract_folder) if f.endswith('.nc')]\n",
    "df_nc_files = pd.DataFrame.from_dict(nc_files)\n",
    "\n",
    "# Pandas-Anzeigeoptionen anpassen\n",
    "pd.options.display.max_colwidth = 24\n",
    "\n",
    "# DataFrame anzeigen, ohne die Spalte 'path' darzustellen\n",
    "df_nc_files.head(10).loc[:, df_nc_files.columns != 'path']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c200979d",
   "metadata": {},
   "source": [
    "### 3.2 Einzigartige Variablennamen und verfügbare Variablen ausgeben"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5a9b04e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1  t2m               : Verfügbare Variablen: ['t2m', 'time', 'realization', 'lat', 'lon']\n",
      "2  data              : Verfügbare Variablen: ['data', 'time', 'realization', 'lat', 'lon']\n",
      "10 high_utci_days    : Verfügbare Variablen: ['high_utci_days', 'time', 'height', 'lon', 'lat']\n",
      "12 tp                : Verfügbare Variablen: ['tp', 'time', 'realization', 'lat', 'lon']\n",
      "16 cdd               : Verfügbare Variablen: ['cdd', 'realization', 'lat', 'lon', 'time']\n",
      "17 dmd               : Verfügbare Variablen: ['dmd', 'lat', 'lon', 'realization', 'time']\n",
      "19 fwi               : Verfügbare Variablen: ['fwi', 'time', 'lon', 'lat']\n"
     ]
    }
   ],
   "source": [
    "# Variable definieren, um bereits verarbeitete Variablennamen zu speichern und Duplikate zu vermeiden  \n",
    "seen_variables = set()\n",
    "\n",
    "# Alle Variablen in jeder NetCDF-Datei auflisten  \n",
    "for i, nc_file in enumerate(nc_files):\n",
    "    variable_name = nc_file['variable_name']\n",
    "    \n",
    "    # Überspringen, wenn die Variable bereits verarbeitet wurde  \n",
    "    if variable_name in seen_variables:\n",
    "        continue\n",
    "\n",
    "    # NetCDF-Datei im Lesemodus öffnen  \n",
    "    with nc.Dataset(nc_file['path'], mode='r') as nc_dataset:  \n",
    "        # Alle Variablen im aktuellen Datensatz auflisten  \n",
    "        variables_list = list(nc_dataset.variables.keys())  \n",
    "        \n",
    "        # Details der Datei und ihrer Variablen ausgeben  \n",
    "        print(f\"{i + 1:<2} {variable_name:<18}: Verfügbare Variablen: {variables_list}\") \n",
    "    \n",
    "    # Diese Variable als verarbeitet markieren  \n",
    "    seen_variables.add(variable_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f89a7481",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1. Zusammenfassung der Variable 't2m':\n"
     ]
    },
    {
     "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>Beschreibung</th>\n",
       "      <th>Bemerkungen</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Variablenname</td>\n",
       "      <td>t2m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Datentyp</td>\n",
       "      <td>float32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Form</td>\n",
       "      <td>(84, 32, 38)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Variableninfo</td>\n",
       "      <td>('time', 'lat', 'lon')</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Einheiten</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Langer Name</td>\n",
       "      <td>N/A</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Beschreibung             Bemerkungen\n",
       "0  Variablenname                     t2m\n",
       "1       Datentyp                 float32\n",
       "2           Form            (84, 32, 38)\n",
       "3  Variableninfo  ('time', 'lat', 'lon')\n",
       "4      Einheiten                       1\n",
       "5    Langer Name                     N/A"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2. Zusammenfassung der Variable 'data':\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Beschreibung</th>\n",
       "      <th>Bemerkungen</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Variablenname</td>\n",
       "      <td>data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Datentyp</td>\n",
       "      <td>float32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Form</td>\n",
       "      <td>(84, 32, 38)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Variableninfo</td>\n",
       "      <td>('time', 'lat', 'lon')</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Einheiten</td>\n",
       "      <td>K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Langer Name</td>\n",
       "      <td>N/A</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Beschreibung             Bemerkungen\n",
       "0  Variablenname                    data\n",
       "1       Datentyp                 float32\n",
       "2           Form            (84, 32, 38)\n",
       "3  Variableninfo  ('time', 'lat', 'lon')\n",
       "4      Einheiten                       K\n",
       "5    Langer Name                     N/A"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".... (Ausgabe auf die ersten 2 Variablen gekürzt)\n"
     ]
    }
   ],
   "source": [
    "# Alle Variableninformationen in jeder NetCDF-Datei auflisten  \n",
    "seen_variables = set()\n",
    "\n",
    "# Alle variablen Informationen in jeder NetCDF-Datei auflisten\n",
    "for i, nc_file in enumerate(nc_files):\n",
    "    variable_name = nc_file['variable_name']\n",
    "    \n",
    "    # Überspringen, wenn die Variable bereits verarbeitet wurde\n",
    "    if variable_name in seen_variables:\n",
    "        continue\n",
    "    \n",
    "    # NetCDF-Datei im Lesemodus öffnen\n",
    "    with nc.Dataset(nc_file['path'], mode='r') as nc_dataset:  \n",
    "        # Primärvariable-Daten abrufen  \n",
    "        variable_data = nc_dataset[variable_name]  \n",
    "\n",
    "        # Zusammenfassung der Primärvariable erstellen  \n",
    "        summary = {  \n",
    "            \"Variablenname\": variable_name,  \n",
    "            \"Datentyp\": variable_data.dtype,  \n",
    "            \"Form\": variable_data.shape,  \n",
    "            \"Variableninfo\": f\"{variable_data.dimensions}\",  \n",
    "            \"Einheiten\": getattr(variable_data, \"units\", \"N/A\"),  \n",
    "            \"Langer Name\": getattr(variable_data, \"long_name\", \"N/A\"),  \n",
    "        }  \n",
    "\n",
    "        # Datensatz-Zusammenfassung als DataFrame zur besseren Visualisierung anzeigen  \n",
    "        nc_summary = pd.DataFrame(list(summary.items()), columns=['Beschreibung', 'Bemerkungen'])  \n",
    "        print(f\"{i + 1}. Zusammenfassung der Variable '{variable_name}':\")  \n",
    "        display(nc_summary)  \n",
    "\n",
    "    # Variablenname zur Liste der bereits verarbeiteten Variablen hinzufügen  \n",
    "    seen_variables.add(variable_name)  \n",
    "\n",
    "    # Ausgabe begrenzen  \n",
    "    output_limit = 2  \n",
    "    if len(seen_variables) >= output_limit:  \n",
    "        print(f\".... (Ausgabe auf die ersten {output_limit} Variablen gekürzt)\")  \n",
    "        break  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53a8fac0",
   "metadata": {},
   "source": [
    "## 4. Exportieren der NetCDF4-Dateien im CSV-Format"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab6a75f8",
   "metadata": {},
   "source": [
    "### 4.1 Definieren eine Funktion zum Konvertieren von NetCDF-Daten in DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "27598156",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "\n",
    "# Funktion zur Konvertierung von NetCDF-Daten in ein Pandas DataFrame\n",
    "def netcdf_to_dataframe(\n",
    "    nc_file,\n",
    "    bounding_box=None):\n",
    "\n",
    "    # Öffne das NetCDF-Dataset im Lesemodus\n",
    "    with xr.open_dataset(nc_file['path']) as nc_dataset:\n",
    "        # Zugriff auf die Variablendaten aus dem Datensatz\n",
    "        variable_data = nc_dataset[nc_file['variable_name']]\n",
    "        \n",
    "        # Sicherstellen, dass die Namen für Breiten- und Längengrad korrekt sind\n",
    "        latitude_name = 'latitude' if 'latitude' in nc_dataset.coords else 'lat'\n",
    "        longitude_name = 'longitude' if 'longitude' in nc_dataset.coords else 'lon'\n",
    "        \n",
    "        # Falls eine Begrenzungsbox angegeben ist, die Daten filtern\n",
    "        if bounding_box:\n",
    "            filtered_data = variable_data.where(\n",
    "                (nc_dataset[latitude_name] >= bounding_box[1]) & (nc_dataset[latitude_name] <= bounding_box[3]) &\n",
    "                (nc_dataset[longitude_name] >= bounding_box[0]) & (nc_dataset[longitude_name] <= bounding_box[2]),\n",
    "                drop=True\n",
    "            )\n",
    "        else:\n",
    "            filtered_data = variable_data\n",
    "\n",
    "        # Umwandlung des xarray-Datensatzes in ein Pandas DataFrame\n",
    "        df = filtered_data.to_dataframe().reset_index().set_index(['time', latitude_name, longitude_name])\n",
    "\n",
    "        # Entfernen nicht benötigter Spalten (variiert je nach Datensatz)\n",
    "        if 'height' in df.columns:\n",
    "            df = df.drop(columns=['height'])\n",
    "        if 'quantile' in df.columns:\n",
    "            df = df.drop(columns=['quantile'])\n",
    "\n",
    "        return df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89e2e158",
   "metadata": {},
   "source": [
    "### 4.2 DataFrame erstellen und als CSV-Datei exportieren"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "169642dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Definieren den Ursprung der Daten, entweder „projections“ oder „reanalysis“\n",
    "origin = \"projections\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8d53e458",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Datei existiert bereits unter .\\data\\climate-indicators\\csv\\projections_yearly\\02_growing_degree_days-reanalysis-yearly-grid-1940-2023-v1.0.area-subset.55.2.15.2.47.1.5.7.nc.csv.\n",
      "Überspringen den Export.\n",
      "Letzte vorhandene CSV-Datei lesen...\n"
     ]
    },
    {
     "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></th>\n",
       "      <th></th>\n",
       "      <th>realization</th>\n",
       "      <th>t2m</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">1940-01-01</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">47.25</th>\n",
       "      <th>5.75</th>\n",
       "      <td>0</td>\n",
       "      <td>2209.1602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.00</th>\n",
       "      <td>0</td>\n",
       "      <td>2158.9377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.25</th>\n",
       "      <td>0</td>\n",
       "      <td>2055.9540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.50</th>\n",
       "      <td>0</td>\n",
       "      <td>1832.0024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.75</th>\n",
       "      <td>0</td>\n",
       "      <td>1662.9482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2023-01-01</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">55.00</th>\n",
       "      <th>14.00</th>\n",
       "      <td>0</td>\n",
       "      <td>2009.1061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.25</th>\n",
       "      <td>0</td>\n",
       "      <td>2005.1495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.50</th>\n",
       "      <td>0</td>\n",
       "      <td>1994.5411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.75</th>\n",
       "      <td>0</td>\n",
       "      <td>1979.5626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.00</th>\n",
       "      <td>0</td>\n",
       "      <td>1966.1664</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>102144 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        realization        t2m\n",
       "time       lat   lon                          \n",
       "1940-01-01 47.25 5.75             0  2209.1602\n",
       "                 6.00             0  2158.9377\n",
       "                 6.25             0  2055.9540\n",
       "                 6.50             0  1832.0024\n",
       "                 6.75             0  1662.9482\n",
       "...                             ...        ...\n",
       "2023-01-01 55.00 14.00            0  2009.1061\n",
       "                 14.25            0  2005.1495\n",
       "                 14.50            0  1994.5411\n",
       "                 14.75            0  1979.5626\n",
       "                 15.00            0  1966.1664\n",
       "\n",
       "[102144 rows x 2 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ordner basierend auf zeitlicher Aggregation erstellen\n",
    "subset_csv_folder = os.path.join(csv_folder, f\"{origin}_{request['temporal_aggregation'][0]}\")\n",
    "os.makedirs(subset_csv_folder, exist_ok=True)\n",
    "\n",
    "# Alle netCDF4-Dateien in einzelne CSV-Dateien exportieren\n",
    "for nc_file in nc_files:\n",
    "    # CSV-Dateiname und Pfad für die Ausgabe definieren\n",
    "    csv_filename = f\"{nc_file['filename']}.csv\"\n",
    "    csv_filepath = os.path.join(subset_csv_folder, csv_filename)\n",
    "\n",
    "    # Exportiere das DataFrame als CSV, falls es noch nicht existiert\n",
    "    if not os.path.isfile(csv_filepath):\n",
    "        dataframe = netcdf_to_dataframe(nc_file=nc_file)\n",
    "        dataframe.to_csv(csv_filepath, sep=\",\", encoding='utf8')\n",
    "    else:\n",
    "        print(f\"Datei existiert bereits unter {csv_filepath}.\\nÜberspringen den Export.\")\n",
    "        break\n",
    "\n",
    "print(\"Letzte vorhandene CSV-Datei lesen...\")\n",
    "dataframe = pd.read_csv(csv_filepath).set_index(['time', 'lat', 'lon'])\n",
    "\n",
    "# Zeige das DataFrame an\n",
    "dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80a87abd",
   "metadata": {},
   "source": [
    "## 5. Analyse und Visualisierung Optionen"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8ed4cf2",
   "metadata": {},
   "source": [
    "### 5.1 Definieren ein ein interaktives Widget, um eine Variable für die Visualisierung auszuwählen\n",
    "\n",
    "> Wichtig: Wählen Sie die **Variable**, die für die Visualisierung von Interesse ist."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "8c09e1a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b3e5f4bb042a4373b98a8b7c74725b5e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Eine Variable auswählen:', options=('growing_degree_days', 'heating_degree_days', 'cooli…"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import ipywidgets as ipywidgets\n",
    "\n",
    "# Liste aller verfügbaren Variablen erstellen\n",
    "ds_variable_list = df_nc_files['ds_variable'].unique()\n",
    "\n",
    "# Dropdown-Widget für die Auswahl einer Variablen erstellen\n",
    "selected_ds_variable = ipywidgets.Dropdown(\n",
    "    options=ds_variable_list,\n",
    "    description='Eine Variable auswählen:',\n",
    "    disabled=False,\n",
    "    style={'description_width': 'auto'}\n",
    ")\n",
    "selected_ds_variable"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68d32cb4",
   "metadata": {},
   "source": [
    "### 5.2 Definieren farbkodierte Designstile für die Visualisierung"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ca634e8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Farben\n",
    "color_reanalyse = \"#008000\" #Reanalyse\n",
    "color_rcp4_5 = \"#005d82\" #RCP4.5\n",
    "color_rcp8_5 = \"#ce1657\" #RCP8.5\n",
    "\n",
    "# Darstellung der Reanalyse-Daten\n",
    "design_reanalyse = {\n",
    "    'label': 'Reanalyse',\n",
    "    'color': color_reanalyse,\n",
    "    'marker': 'o',\n",
    "    'linestyle': '-',\n",
    "    'markersize': 4,\n",
    "    'linewidth': 0.5\n",
    "}\n",
    "\n",
    "# Darstellung der RCP4.5-Daten\n",
    "design_rcp45 = {\n",
    "    'label': 'RCP4.5',\n",
    "    'color': color_rcp4_5,\n",
    "    'marker': 'o',\n",
    "    'linestyle': ':',\n",
    "    'markersize': 3,\n",
    "    'linewidth': 0.5\n",
    "}\n",
    "\n",
    "# Darstellung der RCP8.5-Daten\n",
    "design_rcp85 = {\n",
    "    'label': 'RCP8.5',\n",
    "    'color': color_rcp8_5,\n",
    "    'marker': 'o',\n",
    "    'linestyle': ':',\n",
    "    'markersize': 3,\n",
    "    'linewidth': 0.5\n",
    "}\n",
    "\n",
    "# Darstellung der Trendlinie RCP4.5\n",
    "design_rcp45_trend = {\n",
    "    'label': 'Trend RCP4.5',\n",
    "    'color': color_rcp4_5,\n",
    "    'linestyle': ':',\n",
    "    'linewidth': 1.5\n",
    "}\n",
    "\n",
    "# Darstellung der Trendlinie RCP8.5\n",
    "design_rcp85_trend = {\n",
    "    'label': 'Trend RCP8.5',\n",
    "    'color': color_rcp8_5,\n",
    "    'linestyle': ':',\n",
    "    'linewidth': 1.5\n",
    "}\n",
    "\n",
    "# Darstellung der Trennline zwischen Reanalyse und Projektionsdaten\n",
    "datum_trennlinie = '2024-01-01'  # wenn neuere Reanalyse-Daten vorliegen, müsste dieses Datum angepasst werden\n",
    "design_trennlinie = {\n",
    "    'color': 'grey',\n",
    "    'linestyle': '--',\n",
    "    'linewidth': 2.5\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df0987ee",
   "metadata": {},
   "source": [
    "### 5.3 Abrufen und Zusammenführen von Daten aus Reanalyse- und Projektionsdatensätzen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "dd0ed73d",
   "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>filename</th>\n",
       "      <th>ds_variable</th>\n",
       "      <th>ds_origin</th>\n",
       "      <th>ds_temporal_aggregation</th>\n",
       "      <th>variable_name</th>\n",
       "      <th>ds_grid</th>\n",
       "      <th>ds_rcp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>02_growing_degree_da...</td>\n",
       "      <td>growing_degree_days</td>\n",
       "      <td>reanalysis</td>\n",
       "      <td>yearly</td>\n",
       "      <td>t2m</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02_growing_degree_da...</td>\n",
       "      <td>growing_degree_days</td>\n",
       "      <td>projections</td>\n",
       "      <td>yearly</td>\n",
       "      <td>tasAdjust</td>\n",
       "      <td>None</td>\n",
       "      <td>rcp_4_5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>02_growing_degree_da...</td>\n",
       "      <td>growing_degree_days</td>\n",
       "      <td>projections</td>\n",
       "      <td>yearly</td>\n",
       "      <td>tasAdjust</td>\n",
       "      <td>None</td>\n",
       "      <td>rcp_8_5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  filename          ds_variable    ds_origin  \\\n",
       "0  02_growing_degree_da...  growing_degree_days   reanalysis   \n",
       "1  02_growing_degree_da...  growing_degree_days  projections   \n",
       "2  02_growing_degree_da...  growing_degree_days  projections   \n",
       "\n",
       "  ds_temporal_aggregation variable_name ds_grid   ds_rcp  \n",
       "0                  yearly           t2m    None     None  \n",
       "1                  yearly     tasAdjust    None  rcp_4_5  \n",
       "2                  yearly     tasAdjust    None  rcp_8_5  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Daten aus der Reanalyse abrufen\n",
    "origin = \"reanalysis\"\n",
    "extract_folder = os.path.join(working_folder, f\"{origin}_{request['temporal_aggregation'][0]}\")\n",
    "nc_files_reanalysis = [meta(f) for f in os.listdir(extract_folder) if f\"{selected_ds_variable.value}\" in f]\n",
    "\n",
    "# Daten aus den Projektionen abrufen\n",
    "origin = \"projections\"\n",
    "extract_folder = os.path.join(working_folder, f\"{origin}_{request['temporal_aggregation'][0]}\")\n",
    "nc_files_projections = [meta(f) for f in os.listdir(extract_folder) if f\"{selected_ds_variable.value}\" in f]\n",
    "\n",
    "# Daten zusammenführen und DataFrame erstellen\n",
    "nc_files_merged = nc_files_reanalysis + nc_files_projections\n",
    "df_nc_files_merged = pd.DataFrame.from_dict(nc_files_merged)\n",
    "\n",
    "# 'path'-Spalte ausschließen\n",
    "df_nc_files_merged.loc[:, df_nc_files_merged.columns != 'path']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5a7ef6ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "nc_file_reanalysis = None\n",
    "nc_file_proj_rcp45 = None\n",
    "nc_file_proj_rcp85 = None\n",
    "\n",
    "# Bestimmte Zeilen aus den zusammengeführten Daten extrahieren\n",
    "for file in nc_files_merged:\n",
    "    # Erstes Vorkommen, bei dem ds_origin 'reanalysis' ist\n",
    "    if file['ds_origin'] == 'reanalysis' and nc_file_reanalysis is None:\n",
    "        nc_file_reanalysis = file\n",
    "    \n",
    "    # Erstes Vorkommen, bei dem ds_origin 'projections' und ds_rcp 'rcp_4_5' ist\n",
    "    if file['ds_origin'] == 'projections' and file['ds_rcp'] == 'rcp_4_5' and nc_file_proj_rcp45 is None:\n",
    "        nc_file_proj_rcp45 = file\n",
    "    \n",
    "    # Erstes Vorkommen, bei dem ds_origin 'projections' und ds_rcp 'rcp_8_5' ist\n",
    "    if file['ds_origin'] == 'projections' and file['ds_rcp'] == 'rcp_8_5' and nc_file_proj_rcp85 is None:\n",
    "        nc_file_proj_rcp85 = file"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d916f3e",
   "metadata": {},
   "source": [
    "### 5.4 Berechnung des Jahresmittels und der Anomalie für Reanalysedaten"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8888e4e5",
   "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>time</th>\n",
       "      <th>realization</th>\n",
       "      <th>t2m</th>\n",
       "      <th>anomaly</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1940</th>\n",
       "      <td>1940-01-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1850.592773</td>\n",
       "      <td>-219.633362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1941</th>\n",
       "      <td>1941-01-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1655.679443</td>\n",
       "      <td>-414.546570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1942</th>\n",
       "      <td>1942-01-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2059.707275</td>\n",
       "      <td>-10.518799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1943</th>\n",
       "      <td>1943-01-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2053.417969</td>\n",
       "      <td>-16.807983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1944</th>\n",
       "      <td>1944-01-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1942.366699</td>\n",
       "      <td>-127.859436</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           time  realization          t2m     anomaly\n",
       "time                                                 \n",
       "1940 1940-01-01          0.0  1850.592773 -219.633362\n",
       "1941 1941-01-01          0.0  1655.679443 -414.546570\n",
       "1942 1942-01-01          0.0  2059.707275  -10.518799\n",
       "1943 1943-01-01          0.0  2053.417969  -16.807983\n",
       "1944 1944-01-01          0.0  1942.366699 -127.859436"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def compute_reanalysis_yearly_mean(start_year, end_year):\n",
    "    # Lade die nc_file_reanalysis und konvertiere sie in ein DataFrame\n",
    "    variable_name_reanalysis = nc_file_reanalysis['variable_name']\n",
    "    df_reanalysis = netcdf_to_dataframe(nc_file=nc_file_reanalysis,\n",
    "                                        bounding_box=bbox_wgs84_konstanz_standard).reset_index()\n",
    "\n",
    "    # Filtere das DataFrame für den Referenzzeitraum\n",
    "    df_reanalysis['time'] = pd.to_datetime(df_reanalysis['time'])\n",
    "    df_reanalysis_ref_period = df_reanalysis[(df_reanalysis['time'].dt.year >= start_year) &\n",
    "                                             (df_reanalysis['time'].dt.year <= end_year)]\n",
    "\n",
    "    # Berechne den Mittelwert für den Referenzzeitraum und die Anomalie\n",
    "    reference_mean = df_reanalysis_ref_period[variable_name_reanalysis].mean()\n",
    "    df_reanalysis.loc[:, 'anomaly'] = df_reanalysis[variable_name_reanalysis] - reference_mean\n",
    "\n",
    "    # Berechne den jährlichen Mittelwert und entferne die Spalten 'lat' und 'lon'\n",
    "    df_reanalysis_yearly_mean = (\n",
    "        df_reanalysis\n",
    "        .groupby(df_reanalysis['time'].dt.year)\n",
    "        .mean()\n",
    "        .drop(['lat', 'lon'], axis=1)\n",
    "    )\n",
    "\n",
    "    return variable_name_reanalysis, df_reanalysis, df_reanalysis_yearly_mean\n",
    "\n",
    "# Berechne den jährlichen Mittelwert für die Reanalyse-Daten\n",
    "start_year, end_year = 1971, 2010\n",
    "variable_name_reanalysis, df_reanalysis, df_reanalysis_yearly_mean = compute_reanalysis_yearly_mean(start_year=start_year, end_year=end_year)\n",
    "\n",
    "# Zeige das DataFrame an\n",
    "df_reanalysis_yearly_mean.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3139a149",
   "metadata": {},
   "source": [
    "### 5.5 Visualisierung der jährlichen Anomalien mit einer Balkengrafik"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "48f9690b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Erstelle ein Diagramm\n",
    "fig, ax = plt.subplots(figsize=(12, 7), facecolor='#f1f1f1', edgecolor='k')\n",
    "\n",
    "# Zeichne negative Werte\n",
    "ax.bar(df_reanalysis_yearly_mean['time'][df_reanalysis_yearly_mean['anomaly'] < 0], \n",
    "       df_reanalysis_yearly_mean['anomaly'][df_reanalysis_yearly_mean['anomaly'] < 0], \n",
    "       width=200,\n",
    "       color=color_rcp4_5,\n",
    "       label='Negative Abweichung')\n",
    "\n",
    "# Zeichne positive Werte\n",
    "ax.bar(df_reanalysis_yearly_mean['time'][df_reanalysis_yearly_mean['anomaly'] >= 0], \n",
    "       df_reanalysis_yearly_mean['anomaly'][df_reanalysis_yearly_mean['anomaly'] >= 0], \n",
    "       width=200,\n",
    "       color=color_rcp8_5,\n",
    "       label='Positive Abweichung')\n",
    "\n",
    "# Füge eine Nulllinie hinzu\n",
    "ax.axhline(0, color='black', linewidth=0.8)\n",
    "\n",
    "# Achsenbeschriftungen und Titel setzen\n",
    "ax.set_xlabel(\"Jahr\", fontsize=12)\n",
    "ax.set_ylabel(\"Mittlere jährliche Anomalie\", fontsize=12)\n",
    "ax.set_title(f\"Referenzzeitraum {start_year}-{end_year}\", fontsize=14, fontweight='bold')\n",
    "fig.suptitle(f\"Anomalie in {selected_ds_variable.value.replace('_',' ').title()}\",\n",
    "             fontsize=16,\n",
    "             fontweight='bold',\n",
    "             x=0.52)\n",
    "\n",
    "# Raster hinzufügen\n",
    "ax.grid(visible=True, color='#b0b0b0', linestyle='--', linewidth=0.8, alpha=0.6)\n",
    "\n",
    "# X-Achse: Alle 5-Jahres-Intervalle anzeigen\n",
    "years = pd.date_range(start=df_reanalysis_yearly_mean['time'].min(),\n",
    "                      end=df_reanalysis_yearly_mean['time'].max(),\n",
    "                      freq='5YE').year\n",
    "ax.set_xticks(pd.to_datetime(years, format='%Y'))\n",
    "ax.set_xticklabels(years, rotation=45)\n",
    "\n",
    "# Beschreibung hinzufügen\n",
    "plt.figtext(\n",
    "    0.5,\n",
    "    -0.035,\n",
    "    (\n",
    "       'Quelle: Copernicus Climate Change Service (C3S),'\n",
    "       'Climate Data Store (CDS), (2024): Klimaindikatoren für Europa von 1940 bis 2100'\n",
    "       'abgeleitet aus Reanalyse- und Klimaprojektionen,'\n",
    "       'Copernicus Climate Change Service (C3S) Climate Data Store (CDS).'\n",
    "       '(Zugriff am 01-08-2024)'\n",
    "    ),\n",
    "    ha='left',\n",
    "    va='center',\n",
    "    fontsize=9,\n",
    "    wrap=True,\n",
    "    backgroundcolor='w',\n",
    ")\n",
    "\n",
    "# Legende hinzufügen\n",
    "ax.legend(loc='lower center', bbox_to_anchor=(0.5, -0.2), ncol=2)\n",
    "\n",
    "# Layout anpassen und Diagramm anzeigen\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b24cb7fd",
   "metadata": {},
   "source": [
    "### 5.6 Visualisierung des Jahresmittelwerts mit einer Trendlinie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "acf0702f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# Erstelle ein Diagramm\n",
    "fig, ax = plt.subplots(figsize=(12, 7), facecolor='#f1f1f1', edgecolor='k')\n",
    "\n",
    "# Zeichne die Zeitreihe\n",
    "plt.plot(df_reanalysis_yearly_mean['time'],\n",
    "         df_reanalysis_yearly_mean[variable_name_reanalysis],\n",
    "         **design_reanalyse)\n",
    "\n",
    "# Zeichne die Trendlinie\n",
    "z = np.polyfit(df_reanalysis_yearly_mean['time'].dt.year,\n",
    "               df_reanalysis_yearly_mean[variable_name_reanalysis], 1)\n",
    "p = np.poly1d(z)\n",
    "ax.plot(df_reanalysis_yearly_mean['time'],\n",
    "        p(df_reanalysis_yearly_mean['time'].dt.year),\n",
    "        label='Trend',\n",
    "        color=color_reanalyse,\n",
    "        linestyle=\":\",\n",
    "        linewidth=1.5)\n",
    "\n",
    "# Achsenbeschriftungen und Titel setzen\n",
    "ax.set_xlabel(\"Jahr\", fontsize=12)\n",
    "ax.set_ylabel(\"Jährlicher Mittelwert\", fontsize=12)\n",
    "ax.set_title(f\"Referenzzeitraum: {start_year}-{end_year}\",\n",
    "             fontsize=14,\n",
    "             fontweight='bold')\n",
    "\n",
    "# Haupttitel setzen\n",
    "fig.suptitle(f\"Jährlicher {selected_ds_variable.value.replace('_',' ').title()}\",\n",
    "             fontsize=16,\n",
    "             fontweight='bold',\n",
    "             x=0.52)\n",
    "\n",
    "# Begrenzung der X-Achse setzen\n",
    "plt.xlim(df_reanalysis_yearly_mean['time'].min(), df_reanalysis_yearly_mean['time'].max())\n",
    "\n",
    "# Raster hinzufügen\n",
    "ax.grid(visible=True,\n",
    "        color='#b0b0b0',\n",
    "        linestyle='--',\n",
    "        linewidth=0.8,\n",
    "        alpha=0.6)\n",
    "\n",
    "# X-Achse: Alle 5-Jahres-Intervalle anzeigen\n",
    "years = pd.date_range(start=df_reanalysis_yearly_mean['time'].min(),\n",
    "                      end=df_reanalysis_yearly_mean['time'].max(),\n",
    "                      freq='5YE').year\n",
    "ax.set_xticks(pd.to_datetime(years, format='%Y'))\n",
    "ax.set_xticklabels(years, rotation=45)\n",
    "\n",
    "# Beschreibung hinzufügen\n",
    "plt.figtext(\n",
    "    0.5,\n",
    "    -0.035,\n",
    "    (\n",
    "       'Quelle: Copernicus Climate Change Service (C3S),'\n",
    "       'Climate Data Store (CDS), (2024): Klimaindikatoren für Europa von 1940 bis 2100'\n",
    "       'abgeleitet aus Reanalyse- und Klimaprojektionen,'\n",
    "       'Copernicus Climate Change Service (C3S) Climate Data Store (CDS).'\n",
    "       '(Zugriff am 01-08-2024)'\n",
    "    ),\n",
    "    ha='left',\n",
    "    va='center',\n",
    "    fontsize=9,\n",
    "    wrap=True,\n",
    "    backgroundcolor='w',\n",
    ")\n",
    "\n",
    "# Legende hinzufügen\n",
    "ax.legend()\n",
    "\n",
    "# Layout anpassen und Diagramm anzeigen\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ab62e00",
   "metadata": {},
   "source": [
    "### 5.7 Aufbereitung von Reanalyse- und Projektionsdaten für die Visualisierung"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0b6b8bac",
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_projection_data(start_year, intermediate_year, end_year):\n",
    "    # Extrahieren der Variablendaten aus den NetCDF-Dateien\n",
    "    variable_name_reanalysis = nc_file_reanalysis['variable_name']\n",
    "    df_reanalysis = netcdf_to_dataframe(nc_file=nc_file_reanalysis,\n",
    "                                        bounding_box=bbox_wgs84_konstanz_standard).reset_index()\n",
    "    \n",
    "    variable_name_projections = nc_file_proj_rcp45['variable_name']\n",
    "    df_rcp45 = netcdf_to_dataframe(nc_file=nc_file_proj_rcp45,\n",
    "                                   bounding_box=bbox_wgs84_konstanz_standard).reset_index()\n",
    "    df_rcp85 = netcdf_to_dataframe(nc_file=nc_file_proj_rcp85,\n",
    "                                   bounding_box=bbox_wgs84_konstanz_standard).reset_index()\n",
    "\n",
    "    # Konvertierung der Zeitspalte in das Datetime-Format\n",
    "    df_reanalysis['time'] = pd.to_datetime(df_reanalysis['time'])\n",
    "    df_rcp45['time'] = pd.to_datetime(df_rcp45['time'])\n",
    "    df_rcp85['time'] = pd.to_datetime(df_rcp85['time'])\n",
    "\n",
    "    # Filtern der Datensätze auf der Grundlage der angegebenen Zeiträume\n",
    "    df_reanalysis = df_reanalysis[(df_reanalysis['time'].dt.year >= start_year) & \n",
    "                                  (df_reanalysis['time'].dt.year <= intermediate_year)]\n",
    "    df_rcp45 = df_rcp45[(df_rcp45['time'].dt.year >= intermediate_year + 1) & \n",
    "                        (df_rcp45['time'].dt.year <= end_year)]\n",
    "    df_rcp85 = df_rcp85[(df_rcp85['time'].dt.year >= intermediate_year + 1) &\n",
    "                        (df_rcp85['time'].dt.year <= end_year)]\n",
    "\n",
    "    # Hinzufügen der Spalte „Jahr“ zu den Projektionsdaten zur einfacheren Aggregation\n",
    "    df_rcp45['Year'] = df_rcp45['time'].dt.year\n",
    "    df_rcp85['Year'] = df_rcp85['time'].dt.year\n",
    "\n",
    "    # Berechnung des gleitenden 30-Jahres-Durchschnitts für beide Szenarien\n",
    "    df_rcp45 = compute_fixed_30_year_average(df_rcp45, variable_name_projections)\n",
    "    df_rcp85 = compute_fixed_30_year_average(df_rcp85, variable_name_projections)\n",
    "\n",
    "    return variable_name_reanalysis, df_reanalysis, variable_name_projections, df_rcp45, df_rcp85\n",
    "\n",
    "def compute_fixed_30_year_average(df, column):\n",
    "    # Stellen sicher, dass die Daten nach „Jahr“ sortiert sind, bevor Sie die rollierende Statistik berechnen\n",
    "    df = df.sort_values(by='Year')\n",
    "    \n",
    "    # Berechnung des gleitenden 30-Jahres-Durchschnitts und der Standardabweichung (zentriertes Fenster)\n",
    "    df['30_year_avg'] = df[column].rolling(window=30, min_periods=1, center=True).mean()\n",
    "    df['30_year_std'] = df[column].rolling(window=30, min_periods=1, center=True).std()\n",
    "    \n",
    "    return df\n",
    "\n",
    "# Definieren den Jahresbereich\n",
    "start_year = 1940\n",
    "intermediate_year = 2023\n",
    "end_year = 2100\n",
    "\n",
    "variable_name_reanalysis, df_reanalysis, variable_name_projections, df_rcp45, df_rcp85 = compute_projection_data(start_year,intermediate_year, end_year)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbf9fd9c",
   "metadata": {},
   "source": [
    "### 5.8 Visualisierung der Jahresmittelwerte der Reanalyse- und Klimaprojektionsdaten (RCP4.5 und RCP8.5) mit einer Trendlinie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e1cccca0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Erstelle ein Diagramm\n",
    "fig, ax = plt.subplots(figsize=(12, 7), facecolor='#f1f1f1', edgecolor='k')\n",
    "\n",
    "# Reanalyse-Daten plotten\n",
    "plt.plot(df_reanalysis['time'],\n",
    "         df_reanalysis[variable_name_reanalysis],\n",
    "         **design_reanalyse)\n",
    "\n",
    "# RCP4.5-Szenario-Daten und Trendlinie plotten\n",
    "plt.plot(df_rcp45['time'],\n",
    "         df_rcp45[variable_name_projections],\n",
    "         **design_rcp45)\n",
    "\n",
    "# Lineare Trendlinie für das RCP4.5-Szenario berechnen\n",
    "z = np.polyfit(df_rcp45['time'].dt.year, df_rcp45[variable_name_projections], 1)\n",
    "p = np.poly1d(z)\n",
    "\n",
    "# Trendlinie für RCP4.5 plotten\n",
    "plt.plot(df_rcp45['time'],\n",
    "         p(df_rcp45['time'].dt.year),\n",
    "         **design_rcp45_trend)\n",
    "\n",
    "# RCP8.5-Szenario-Daten und Trendlinie plotten\n",
    "plt.plot(df_rcp85['time'],\n",
    "         df_rcp85[variable_name_projections],\n",
    "         **design_rcp85)\n",
    "\n",
    "# Lineare Trendlinie für das RCP8.5-Szenario berechnen\n",
    "z = np.polyfit(df_rcp85['time'].dt.year, df_rcp85[variable_name_projections], 1)\n",
    "p = np.poly1d(z)\n",
    "\n",
    "# Trendlinie für RCP8.5 plotten\n",
    "plt.plot(df_rcp85['time'],\n",
    "         p(df_rcp85['time'].dt.year),\n",
    "         **design_rcp85_trend)\n",
    "\n",
    "# Vertikale Trennlinie hinzufügen, um zwischen historischen Daten und Projektionen zu unterscheiden\n",
    "plt.axvline(x=pd.Timestamp('2024-01-01'), **design_trennlinie)\n",
    "\n",
    "# Achsentitel setzen\n",
    "ax.set_xlabel(\"Jahr\", fontsize=12)\n",
    "ax.set_ylabel(\"Mittlerer Jahreswert\", fontsize=12)\n",
    "ax.set_title(f\"Referenzzeitraum: {start_year}-{end_year}\",\n",
    "             fontsize=14,\n",
    "             fontweight='bold')\n",
    "\n",
    "# Haupttitel setzen\n",
    "fig.suptitle(f\"Jährliche {selected_ds_variable.value.replace('_', ' ').title()}\",\n",
    "             fontsize=16,\n",
    "             fontweight='bold',\n",
    "             x=0.52)\n",
    "\n",
    "# Begrenzung der x-Achse auf den relevanten Datenbereich\n",
    "plt.xlim(df_reanalysis['time'].min(), df_rcp45['time'].max())\n",
    "\n",
    "# Raster für bessere Lesbarkeit hinzufügen\n",
    "ax.grid(visible=True,\n",
    "        color='#b0b0b0',\n",
    "        linestyle='--',\n",
    "        linewidth=0.8,\n",
    "        alpha=0.6)\n",
    "\n",
    "# X-Achse: Alle 10-Jahres-Intervalle anzeigen\n",
    "years = pd.date_range(start=df_reanalysis['time'].min(),\n",
    "                      end=df_rcp45['time'].max(),\n",
    "                      freq='10YE').year\n",
    "ax.set_xticks(pd.to_datetime(years, format='%Y'))\n",
    "ax.set_xticklabels(years, rotation=45)\n",
    "\n",
    "# Beschreibung hinzufügen\n",
    "plt.figtext(\n",
    "    0.5,\n",
    "    -0.035,\n",
    "    (\n",
    "       'Quelle: Copernicus Climate Change Service (C3S),'\n",
    "       'Climate Data Store (CDS), (2024): Klimaindikatoren für Europa von 1940 bis 2100'\n",
    "       'abgeleitet aus Reanalyse- und Klimaprojektionen,'\n",
    "       'Copernicus Climate Change Service (C3S) Climate Data Store (CDS).'\n",
    "       '(Zugriff am 01-08-2024)'\n",
    "    ),\n",
    "    ha='left',\n",
    "    va='center',\n",
    "    fontsize=9,\n",
    "    wrap=True,\n",
    "    backgroundcolor='w',\n",
    ")\n",
    "\n",
    "# Legende hinzufügen\n",
    "ax.legend()\n",
    "\n",
    "# Layout anpassen und Diagramm anzeigen\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4a2deeb",
   "metadata": {},
   "source": [
    "### 5.9 Visualisierung der Jahresmittelwerte der Reanalyse- und Klimaprojektionsdaten (RCP4.5 und RCP8.5) mit Standardabweichung"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "eb52bdda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Erstelle ein Diagramm\n",
    "fig, ax = plt.subplots(figsize=(12, 7), facecolor='#f1f1f1', edgecolor='k')\n",
    "\n",
    "# Reanalyse-Daten plotten\n",
    "plt.plot(df_reanalysis['time'],\n",
    "         df_reanalysis[variable_name_reanalysis],\n",
    "         **design_reanalyse)\n",
    "\n",
    "# RCP4.5-Szenario-Daten plotten (30-jähriger Durchschnitt)\n",
    "plt.plot(df_rcp45['time'], df_rcp45['30_year_avg'], **design_rcp45)\n",
    "\n",
    "# Unsicherheitsbereich für RCP4.5 (±1 Standardabweichung) einfügen\n",
    "plt.fill_between(df_rcp45['time'], \n",
    "                 df_rcp45['30_year_avg'] - df_rcp45['30_year_std'], \n",
    "                 df_rcp45['30_year_avg'] + df_rcp45['30_year_std'], \n",
    "                 color='blue', alpha=0.05, label='RCP4.5 - Std')\n",
    "\n",
    "# RCP8.5-Szenario-Daten plotten (30-jähriger Durchschnitt)\n",
    "plt.plot(df_rcp85['time'], df_rcp85['30_year_avg'], **design_rcp85)\n",
    "\n",
    "# Unsicherheitsbereich für RCP8.5 (±1 Standardabweichung) einfügen\n",
    "plt.fill_between(df_rcp85['time'], \n",
    "                 df_rcp85['30_year_avg'] - df_rcp85['30_year_std'], \n",
    "                 df_rcp85['30_year_avg'] + df_rcp85['30_year_std'], \n",
    "                 color='red', alpha=0.05, label='RCP8.5 - Std')\n",
    "\n",
    "# Vertikale Trennlinie für den Übergang zwischen historischen Daten und Projektionen\n",
    "plt.axvline(x=pd.Timestamp('2024-01-01'), **design_trennlinie)\n",
    "\n",
    "# Achsenbeschriftungen und Titel setzen\n",
    "ax.set_xlabel(\"Jahr\", fontsize=12)\n",
    "ax.set_ylabel(\"Mittlerer Jahreswert\", fontsize=12)\n",
    "ax.set_title(f\"Referenzzeitraum: {start_year}-{end_year}\",\n",
    "             fontsize=14,\n",
    "             fontweight='bold')\n",
    "\n",
    "# Haupttitel setzen\n",
    "fig.suptitle(f\"Jährliche {selected_ds_variable.value.replace('_', ' ').title()}\",\n",
    "             fontsize=16,\n",
    "             fontweight='bold',\n",
    "             x=0.52)\n",
    "\n",
    "# Begrenzung der x-Achse auf den relevanten Datenbereich\n",
    "plt.xlim(df_reanalysis['time'].min(), df_rcp45['time'].max())\n",
    "\n",
    "# Raster hinzufügen\n",
    "ax.grid(visible=True,\n",
    "        color='#b0b0b0',\n",
    "        linestyle='--',\n",
    "        linewidth=0.8,\n",
    "        alpha=0.6)\n",
    "\n",
    "# X-Achse: Alle 10-Jahres-Intervalle anzeigen\n",
    "years = pd.date_range(start=df_reanalysis['time'].min(),\n",
    "                      end=df_rcp45['time'].max(),\n",
    "                      freq='10YE').year\n",
    "ax.set_xticks(pd.to_datetime(years, format='%Y'))\n",
    "ax.set_xticklabels(years, rotation=45)\n",
    "\n",
    "# Beschreibung hinzufügen\n",
    "plt.figtext(\n",
    "    0.5,\n",
    "    -0.035,\n",
    "    (\n",
    "       'Quelle: Copernicus Climate Change Service (C3S),'\n",
    "       'Climate Data Store (CDS), (2024): Klimaindikatoren für Europa von 1940 bis 2100'\n",
    "       'abgeleitet aus Reanalyse- und Klimaprojektionen,'\n",
    "       'Copernicus Climate Change Service (C3S) Climate Data Store (CDS).'\n",
    "       '(Zugriff am 01-08-2024)'\n",
    "    ),\n",
    "    ha='left',\n",
    "    va='center',\n",
    "    fontsize=9,\n",
    "    wrap=True,\n",
    "    backgroundcolor='w',\n",
    ")\n",
    "\n",
    "# Legende hinzufügen\n",
    "ax.legend()\n",
    "\n",
    "# Layout anpassen und Diagramm anzeigen\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  }
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