2020-11-C3S-data-tutorial-italiano.ipynb

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    "<img src='./img/logoline_12000.png' align='center' width='100%'></img>"
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    "# Tutorial sull'uso dei dati del Copernicus Climate Change Service (C3S)\n",
    "\n",
    "In questo tutorial vedremo come accedere ed elaborare i dati del **Copernicus Climate Change Service (C3S)**, il servizio relativo ai cambiamenti climatici di Copernicus (C3S) che fornisce informazioni autorevoli sul clima passato, presente e futuro. Il C3S è affidato dalla Commissione Europea al Centro Europeo per le Previsioni Meteorologiche a Medio Termine (ECMWF).\n",
    "\n",
    "Uno dei servizi principali del C3S è di mettere a disposizione dati climatici tramite l'archivio Climate Data Store (CDS).\n",
    "\n",
    "Il CDS contiene vari dataset, principalmente:\n",
    "\n",
    "- **Osservazioni**: osservazioni di diversi variabili climatiche misurate tramite sensori satellitari e terrestri.\n",
    "- **Reanalysis**: combina modelli con i dati osservazionali per ottenere la migliore comprensione possibile del clima del passato.\n",
    "- **Seasonal forecasts**: previsioni stagionali delle variabili climatiche.\n",
    "- **Climate projections**: proiezioni a lungo termine, seconda vari scenari.\n",
    "- **Climate indices**: indici composti da diversi input climatici.\n",
    "\n",
    "Lo scopo di questo esercizio è di imparare come cercare ed elaborare dati dal CDS. È composto da tre parti:\n",
    "\n",
    "1. [Archivio dei dati climatici (CDS)](#cds) Introduzione e dimostrazione del Climate Data Store del C3S: come cercare dati, come accedere al Forum e al Copernicus Knowledge Base\n",
    "2. [CDS toolbox e applicazioni](#toolbox) Esercizi sull'uso del CDS toolbox per elaborare dati.\n",
    "3. [CDS API](#api) Uso del CDS API per scaricare dati, esempi sull'uso di Python per fare elaborazioni."
   ]
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   "source": [
    "<img src='./img/milan_intro.png' align='center' width='100%'></img>"
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   "source": [
    "## Prima di iniziare\n",
    "\n",
    "#### Per la parte 1 e 2\n",
    "Registrarsi all'archivio dei dati climatici (CDS): https://cds.climate.copernicus.eu/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src='./img/CDS_login.png' align='left' width='60%'></img>"
   ]
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   "source": [
    "#### Per la parte 3\n",
    "- Installare Anaconda: https://docs.anaconda.com/anaconda/install/\n",
    "- Installare il CDS API: https://cds.climate.copernicus.eu/api-how-to\n",
    "- Installare Cartopy: https://pypi.org/project/Cartopy/\n",
    "- Installare Xarray: http://xarray.pydata.org/en/stable/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "<b> Questi blocchi contengono domande a cui vorrei rispondessi!</b></div>"
   ]
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   "cell_type": "markdown",
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   "source": [
    "***"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "## <a id='cds'></a>1. Archivio dei dati climatici (CDS)\n",
    "\n",
    "Vai su https://cds.climate.copernicus.eu/. Il catalogo ti permette di cercare dati tramite parole chiave, o applicando i vari filtri. Altrimenti, cliccando su `Search` vedi tutti i dati disponibili. Se clicchi su un dataset puoi trovare più informazioni nelle sezioni `Overview` o `Documentation`."
   ]
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   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "<b>Metti</b> <i>\"ERA5\"</i> <b>nella barra di ricerca. Poi clicca sul dataset</b> <i>\"ERA5 hourly data on pressure levels from 1979 to present\"</i>. <br>\n",
    "<b>Guardando la sezione di</b> <i>Overview</i> <b>qual è la copertura orizzontale, verticale e temporale del dataset?</b></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "<b>Ora torna alla pagina principale. Applicando i vari filtri, esistono dati sulla biosfera, per il futuro, su scala europea?</b></div>"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nella finestra `Download data` puoi selezionare i vari parametri dei dati. Poi cliccando su `Submit Form` arrivi alla pagina web dove troverai il link per scaricare i dati."
   ]
  },
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   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "<b>Clicca sul dataset</b> <i>\"Climatic suitability for the presence and seasonal activity of the Aedes albopictus mosquito for Europe derived from climate projections\"</i> (le condizioni climatiche adatte alla presenza di zanzare Aedes albopictus). <br>\n",
    "<b>Scegli i seguenti parametri, poi scarica i dati:</b>\n",
    "    \n",
    "  <ul>\n",
    "  <li>Variable = Suitability</li>\n",
    "  <li>Experiment = RCP4.5. <i>RCP (Representative Concentration Pathway) è una proiezione sulla concentrazione di gas serra adottata dal IPCC. 4.5 corrisponde al valore del forzante radiativo (in W/m2) per l'anno 2100. RCP 4.5 è considerato dal IPCC come scenario intermedio. RCP 8.5 (chiamato anche \"business as usual\") invece è considerato il caso peggiore, se non dovesse cambiare niente.</i></li>\n",
    "  <li>Ensemble statistics = Statistiche dell'insieme</li>\n",
    "  <li>Format = Zip file (.zip)</li>\n",
    "  </ul>\n",
    "    \n",
    "<b> Qual è la dimensione dei dati scaricati?</b>\n",
    "</div>"
   ]
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   "cell_type": "markdown",
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   "source": [
    "#### Copernicus Knowledge Base\n",
    "\n",
    "Una fonte di informazione molto utile è il \"Copernicus Knowledge Base\":\n",
    "\n",
    "https://confluence.ecmwf.int/display/CKB"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "<b>Usa il Copernicus Knowledge Base per trovare documentazione su ERA-5. Qual è il formato dei dati?</b></div>"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "***"
   ]
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   "source": [
    "## <a id='toolbox'></a>2. CDS toolbox e applicazioni\n",
    "\n",
    "Torna alla pagina iniziale dell'archivio dei dati climatici (CDS) https://cds.climate.copernicus.eu/ e clicca su `Climate Data Store Toolbox`. Il toolbox è uno strumento per elaborare dati nel CDS. Ti permette anche di creare applicazioni interattive per visualizzare meglio i dati. Ora clicca su `Toolbox Documentation`. Qui trovi una spiegazione sul CDS toolbox e una serie di guide e materiali per imparare ad usarlo (tutorials, how-to guides, learning bundles). Ci sono anche molti scripts esemplificativi di applicazioni che si possono copiare e modificare nel `Toolbox Editor`.\n",
    "\n",
    "Torna alla pagina del toolbox, e ora clicca su `Toolbox Editor`. Qui puoi scrivere le tue applicazioni. Un modo facile per iniziare è prendere un'applicazione già fatta, e modificarla. Per iniziare, clicca due volte su `00 Hello World` sotto `examples`. Ora clicca su `copy` per creare una copia dell'applicazione nel tuo workspace. Così puoi modificare il programma e salvare le modifiche."
   ]
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   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "<b>Usa il programma \"00 Hello World\" per creare un'app che visualizza la temperatura a due metri di altezza, a scala globale, il 15 agosto 2020. Una volta creata, apri l'app in una finestra grande. Quale paese ha la temperatura più alta: l'India o l'Algeria? </b></div>"
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    "Alcuni altri esempi di applicazioni includono:\n",
    "\n",
    "- 01 Retrieve data *(per scaricare dati)*\n",
    "- 02 Plot map *(per creare una mappa interattiva - con una scelta di parametri input)*\n",
    "- 03 Extract time series and plot graph *(estrarre una serie temporale e creare un grafico)*\n",
    "- 11 Calculate time mean and standard deviation *(calcolare la media e la deviazione standard)*\n",
    "- 12 Calculate climatologies *(calcolare climatologie)*\n",
    "- 21 Calculate regional mean and anomalies *(calcolare la media regonale e le anomalie)*\n",
    "- 31 Calculate trends *(calcolare le tendenze)*\n",
    "- 41 Calculate GDD (Growing Degree Days) *(calcolare la somma termica)*"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Torna alla pagina iniziale del CDS https://cds.climate.copernicus.eu/ nella sezione `Applications` puoi vedere un elenco di applicazioni fatte con il CDS Toolbox.\n",
    "\n",
    "Nella barra di ricerca, cerca `Urban Heat Island`, e scegli l'applicazione `Urban heat island intensity for European cities from 2008 to 2017 derived from reanalysis`. Nota il fenomeno di UHI per Milano in estate e in inverno."
   ]
  },
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   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "<b>Copia i codici dell'applicazione, e incolla nel tuo ambiente del CDS Toolbox Editor. Ora modifica l'applicazione per abilitare la visualizzazione del fenomeno UHI anche per la primavera e l'autunno. In quale stagione c'è l'effetto più elevato di UHI?</b></div>"
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    "Esplora anche le seguenti apps:\n",
    "\n",
    "- ERA-5 esplorazione del clima: https://cds.climate.copernicus.eu/cdsapp#!/software/app-era5-explorer?tab=app\n",
    "- Ondate di caldo: https://cds.climate.copernicus.eu/cdsapp#!/software/app-health-heat-waves-projections?tab=app \n",
    "- Esposizione al calore: https://cds.climate.copernicus.eu/cdsapp#!/software/app-health-temperature-exposure-projections?tab=app \n",
    "- Ambiente adatto alla proliferazione delle zanzare: https://cds.climate.copernicus.eu/cdsapp#!/software/app-health-urban-aedes-albopictus-suitability-climatology?tab=app"
   ]
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    "***"
   ]
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   "source": [
    "## <a id='api'></a>3. CDS API\n",
    "\n",
    "Hai già visto come scaricare i dati tramite l'interfaccia web. Hai anche visto come elaborare i dati tramite il CDS Toolbox. Ora vedremo come puoi accedere ai dati tramite il CDS API e fare elaborazioni in Python dentro il Jupyter Notebook.\n",
    "\n",
    "In questa parte dell'esercizio puoi imparare a:\n",
    "\n",
    "1. Scaricare ed elaborare dati ad alta risoluzione (sis-urban-climate-cities) per creare mappe su Milano\n",
    "    - Fare mappe sulla temperatura e velocità del vento su Milano\n",
    "    - Creare un indice di \"wind chill\" con questi parametri\n",
    "2. Scaricare ed elaborare dati ERA-5 su Milano per fare analisi del clima per una serie temporale del passato\n",
    "    - Calcolare anomalie\n",
    "    - Calcolare climatologie"
   ]
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   "source": [
    "#### Importa librerie\n",
    "\n",
    "Essendoti già registrato nel CDS, la prima cosa da fare se vuoi accedere ai dati tramite il CDS API e fare elaborazione in Python è di importare le varie librerie, tra cui anche quella del CDS API.\n",
    "\n",
    "Lavorerai con i dati in NetCDF, un formato usato soprattutto in ambito scientifico, specialmente nelle applicazioni inerenti il clima, la meteorologia e l'oceanografia. I dati che userai sono \"array oriented\" (\"dati grigliati\"). Per elaborare questi dati, useremo una libreria per lavorare con array multidimensionali, in particolare Xarray.\n",
    "\n",
    "Ci servono anche librerie per creare grafici, in questo caso Matplotlib e Cartopy."
   ]
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  {
   "cell_type": "code",
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   "outputs": [],
   "source": [
    "# CDS API\n",
    "import cdsapi\n",
    "\n",
    "# Estrarre i file zip\n",
    "from zipfile import ZipFile\n",
    "\n",
    "# Librerie per lavorare con array multidimensionali\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "\n",
    "# Librerie per creare grafici e visualizzare i dati\n",
    "import matplotlib.path as mpath\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
    "import cartopy.feature as cfeature"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creare mappe con i dati sis-urban-climate-cities\n",
    "#### Scaricare dati\n",
    "Nel CDS https://cds.climate.copernicus.eu/ cerca il dataset `Climate variables for cities in Europe from 2008 to 2017`. Poi, nella finestra di `Download data`, scegli i seguenti parametri:\n",
    "\n",
    "- Variable: `air_temperature`\n",
    "- City: `milan`\n",
    "- Year: `2017`\n",
    "- Month: `01`\n",
    "- Format: `zip`\n",
    "\n",
    "In fondo alla pagina, scegli `Show API request`. Poi copia il codice, e incollalo dentro la cella seguente, cambiando solo il nome del file .zip alla fine del blocco di codici. Poi lancialo per scaricare i dati..."
   ]
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   "cell_type": "code",
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   "metadata": {},
   "outputs": [
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     "text": [
      "2020-11-14 19:40:55,639 INFO Welcome to the CDS\n",
      "2020-11-14 19:40:55,639 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/sis-urban-climate-cities\n",
      "2020-11-14 19:40:55,744 INFO Request is queued\n",
      "2020-11-14 19:40:56,979 INFO Request is running\n",
      "2020-11-14 19:41:17,125 INFO Request is completed\n",
      "2020-11-14 19:41:17,125 INFO Downloading http://136.156.132.201/cache-compute-0004/cache/data8/dataset-sis-urban-climate-cities-d48870f7-4ea9-4e84-9dd6-6bf4a67f8b91.zip to ./milan/urban_climate_at.zip (76.3M)\n",
      "2020-11-14 19:42:45,377 INFO Download rate 885.6K/s                                                                    \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Result(content_length=80029368,content_type=application/zip,location=http://136.156.132.201/cache-compute-0004/cache/data8/dataset-sis-urban-climate-cities-d48870f7-4ea9-4e84-9dd6-6bf4a67f8b91.zip)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import cdsapi\n",
    "\n",
    "c = cdsapi.Client()\n",
    "\n",
    "c.retrieve(\n",
    "    'sis-urban-climate-cities',\n",
    "    {\n",
    "        'variable': 'air_temperature',\n",
    "        'city': 'milan',\n",
    "        'year': '2017',\n",
    "        'month': '01',\n",
    "        'format': 'zip',\n",
    "    },\n",
    "    './milan/urban_climate_at.zip')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ora fai la stessa cosa, ma per la variabile `wind speed`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-11-14 19:42:52,284 INFO Welcome to the CDS\n",
      "2020-11-14 19:42:52,285 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/sis-urban-climate-cities\n",
      "2020-11-14 19:42:52,405 INFO Request is queued\n",
      "2020-11-14 19:42:53,470 INFO Request is running\n",
      "2020-11-14 19:43:05,954 INFO Request is completed\n",
      "2020-11-14 19:43:05,954 INFO Downloading http://136.156.133.25/cache-compute-0008/cache/data8/dataset-sis-urban-climate-cities-17806246-9757-4f7b-96d6-8bcc779748b6.zip to ./milan/urban_climate_ws.zip (91.1M)\n",
      "2020-11-14 19:44:38,609 INFO Download rate 1006.7K/s                                                                   \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Result(content_length=95497658,content_type=application/zip,location=http://136.156.133.25/cache-compute-0008/cache/data8/dataset-sis-urban-climate-cities-17806246-9757-4f7b-96d6-8bcc779748b6.zip)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c.retrieve(\n",
    "    'sis-urban-climate-cities',\n",
    "    {\n",
    "        'variable': 'wind_speed',\n",
    "        'city': 'milan',\n",
    "        'year': '2017',\n",
    "        'month': '01',\n",
    "        'day': '15',\n",
    "        'format': 'zip',\n",
    "    },\n",
    "    './milan/urban_climate_ws.zip')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Una volta scaricati i dati, devi estrarre i file zip:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Funzione per estrarre i file zip\n",
    "def zipextract(zip_file):\n",
    "    with ZipFile(zip_file, 'r') as zipObj: # Crea un Oggetto Zipfile e inseriscici il file zip\n",
    "        zipObj.extractall('milan') # Estrai tutti i contenuti del file zip nella cartella di default"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "at_zip = './milan/urban_climate_at.zip'\n",
    "ws_zip = './milan/urban_climate_ws.zip'\n",
    "zipextract(at_zip)\n",
    "zipextract(ws_zip)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Poi puoi leggere i file NetCDF in un 'Dataset' di Xarray:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "at_nc = './milan/tas_Milan_UrbClim_2017_01_v1.0.nc'\n",
    "ws_nc = './milan/sfcWind_Milan_UrbClim_2017_01_v1.0.nc'\n",
    "at_ds = xr.open_dataset(at_nc)\n",
    "ws_ds = xr.open_dataset(ws_nc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Esamina il contenuto del dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
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       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 744, x: 201, y: 201)\n",
       "Coordinates:\n",
       "  * x          (x) float32 4247283.0 4247383.0 4247483.0 ... 4267183.0 4267283.0\n",
       "  * y          (y) float32 2473439.0 2473539.0 2473639.0 ... 2493339.0 2493439.0\n",
       "    latitude   (y, x) float32 45.369 45.36901 45.369022 ... 45.551167 45.551178\n",
       "    longitude  (y, x) float32 9.06043 9.061704 9.062978 ... 9.311805 9.313084\n",
       "  * time       (time) datetime64[ns] 2017-01-01 ... 2017-01-31T23:00:00\n",
       "Data variables:\n",
       "    tas        (time, y, x) float32 ...\n",
       "Attributes:\n",
       "    conventions:    CF-1.6\n",
       "    title:          Urban climate modelled with UrbClim\n",
       "    references:     doi.org/10.1016/j.uclim.2015.01.001 \n",
       "    source:         UrbClim simulations\n",
       "    institution:    VITO (www.vito.be)\n",
       "    contact:        bd_rma@vito.be\n",
       "    project:        Copernicus Climate Change Service (C3S) Sectoral Informat...\n",
       "    creation_date:  Sun May 12 03:45:00 2019\n",
       "    comment:        Simulation of a city by UrbClim model</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-668d5b18-afd9-465c-aacc-b72061831383' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-668d5b18-afd9-465c-aacc-b72061831383' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 744</li><li><span class='xr-has-index'>x</span>: 201</li><li><span class='xr-has-index'>y</span>: 201</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7be78449-52b1-49ee-b500-7ca195869a90' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7be78449-52b1-49ee-b500-7ca195869a90' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4247283.0 4247383.0 ... 4267283.0</div><input id='attrs-6e80f816-acf7-4a75-9a01-8df7d0f7cfd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e80f816-acf7-4a75-9a01-8df7d0f7cfd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22a40d27-a498-4fa0-9706-12e5f2b02382' class='xr-var-data-in' type='checkbox'><label for='data-22a40d27-a498-4fa0-9706-12e5f2b02382' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x-coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>East-West</dd><dt><span>crs :</span></dt><dd>EPSG:3035 (ETRS89 / LAEA Europe)</dd></dl></div><div class='xr-var-data'><pre>array([4247283., 4247383., 4247483., ..., 4267083., 4267183., 4267283.],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2473439.0 2473539.0 ... 2493439.0</div><input id='attrs-b041f06b-757c-4735-ac1a-95bf5a3adb9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b041f06b-757c-4735-ac1a-95bf5a3adb9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c7b6468-814a-484b-a35a-18a42674285a' class='xr-var-data-in' type='checkbox'><label for='data-9c7b6468-814a-484b-a35a-18a42674285a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y-coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>North-South</dd><dt><span>crs :</span></dt><dd>EPSG:3035 (ETRS89 / LAEA Europe)</dd></dl></div><div class='xr-var-data'><pre>array([2473439., 2473539., 2473639., ..., 2493239., 2493339., 2493439.],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-457376c8-194d-4bf6-8b52-95049eb9c2bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-457376c8-194d-4bf6-8b52-95049eb9c2bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6979188-f007-4833-96f8-71426bf181cd' class='xr-var-data-in' type='checkbox'><label for='data-a6979188-f007-4833-96f8-71426bf181cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>crs :</span></dt><dd>EPSG:4326 (WGS84)</dd></dl></div><div class='xr-var-data'><pre>array([[45.369   , 45.36901 , 45.369022, ..., 45.370945, 45.370953, 45.370964],\n",
       "       [45.3699  , 45.36991 , 45.369923, ..., 45.371845, 45.371857, 45.371864],\n",
       "       [45.370804, 45.370815, 45.370827, ..., 45.37275 , 45.372757, 45.372765],\n",
       "       ...,\n",
       "       [45.547405, 45.547417, 45.54743 , ..., 45.54936 , 45.549366, 45.549374],\n",
       "       [45.548306, 45.548317, 45.54833 , ..., 45.55026 , 45.550266, 45.550274],\n",
       "       [45.549206, 45.549217, 45.54923 , ..., 45.55116 , 45.551167, 45.551178]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25332368-379a-428b-a32c-8ee24143a887' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25332368-379a-428b-a32c-8ee24143a887' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-daacf524-7b90-44ea-8059-69262f869a5c' class='xr-var-data-in' type='checkbox'><label for='data-daacf524-7b90-44ea-8059-69262f869a5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>crs :</span></dt><dd>EPSG:4326 (WGS84)</dd></dl></div><div class='xr-var-data'><pre>array([[9.06043 , 9.061704, 9.062978, ..., 9.312778, 9.314053, 9.315328],\n",
       "       [9.060414, 9.061688, 9.062963, ..., 9.312767, 9.314042, 9.315316],\n",
       "       [9.060399, 9.061673, 9.062947, ..., 9.312756, 9.314031, 9.315305],\n",
       "       ...,\n",
       "       [9.057381, 9.05866 , 9.059938, ..., 9.310549, 9.311828, 9.313106],\n",
       "       [9.057365, 9.058644, 9.059922, ..., 9.310537, 9.311816, 9.313095],\n",
       "       [9.05735 , 9.058628, 9.059907, ..., 9.310526, 9.311805, 9.313084]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-01-01 ... 2017-01-31T23:00:00</div><input id='attrs-543bb7d2-db4f-4e64-b9b2-cb6b845c193d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-543bb7d2-db4f-4e64-b9b2-cb6b845c193d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75e74510-1d2d-4f0b-a15e-d1ed8cea1437' class='xr-var-data-in' type='checkbox'><label for='data-75e74510-1d2d-4f0b-a15e-d1ed8cea1437' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>valid time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2017-01-01T00:00:00.000000000&#x27;, &#x27;2017-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;2017-01-01T02:00:00.000000000&#x27;, ..., &#x27;2017-01-31T21:00:00.000000000&#x27;,\n",
       "       &#x27;2017-01-31T22:00:00.000000000&#x27;, &#x27;2017-01-31T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8689cdf-29f5-43b3-88aa-cf1c6d401c28' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e8689cdf-29f5-43b3-88aa-cf1c6d401c28' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a83d2db2-1589-497a-8673-6913eebb6e5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a83d2db2-1589-497a-8673-6913eebb6e5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e24619c0-b67b-4f63-afde-b61ca3fa88ea' class='xr-var-data-in' type='checkbox'><label for='data-e24619c0-b67b-4f63-afde-b61ca3fa88ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[30058344 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0cba8745-419d-4a4e-ae36-8a430bdc19a5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0cba8745-419d-4a4e-ae36-8a430bdc19a5' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>Urban climate modelled with UrbClim</dd><dt><span>references :</span></dt><dd>doi.org/10.1016/j.uclim.2015.01.001 </dd><dt><span>source :</span></dt><dd>UrbClim simulations</dd><dt><span>institution :</span></dt><dd>VITO (www.vito.be)</dd><dt><span>contact :</span></dt><dd>bd_rma@vito.be</dd><dt><span>project :</span></dt><dd>Copernicus Climate Change Service (C3S) Sectoral Information System (SIS) European Health</dd><dt><span>creation_date :</span></dt><dd>Sun May 12 03:45:00 2019</dd><dt><span>comment :</span></dt><dd>Simulation of a city by UrbClim model</dd></dl></div></li></ul></div></div>"
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       "    conventions:    CF-1.6\n",
       "    title:          Urban climate modelled with UrbClim\n",
       "    references:     doi.org/10.1016/j.uclim.2015.01.001 \n",
       "    source:         UrbClim simulations\n",
       "    institution:    VITO (www.vito.be)\n",
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       "    project:        Copernicus Climate Change Service (C3S) Sectoral Informat...\n",
       "    creation_date:  Sun May 12 03:45:00 2019\n",
       "    comment:        Simulation of a city by UrbClim model"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 744, x: 201, y: 201)\n",
       "Coordinates:\n",
       "  * x          (x) float32 4247283.0 4247383.0 4247483.0 ... 4267183.0 4267283.0\n",
       "  * y          (y) float32 2473439.0 2473539.0 2473639.0 ... 2493339.0 2493439.0\n",
       "    latitude   (y, x) float32 45.369 45.36901 45.369022 ... 45.551167 45.551178\n",
       "    longitude  (y, x) float32 9.06043 9.061704 9.062978 ... 9.311805 9.313084\n",
       "  * time       (time) datetime64[ns] 2017-01-01 ... 2017-01-31T23:00:00\n",
       "Data variables:\n",
       "    sfcWind    (time, y, x) float32 ...\n",
       "Attributes:\n",
       "    conventions:    CF-1.6\n",
       "    title:          Urban climate modelled with UrbClim\n",
       "    references:     doi.org/10.1016/j.uclim.2015.01.001 \n",
       "    source:         UrbClim simulations\n",
       "    institution:    VITO (www.vito.be)\n",
       "    contact:        bd_rma@vito.be\n",
       "    project:        Copernicus Climate Change Service (C3S) Sectoral Informat...\n",
       "    creation_date:  Sun May 12 03:28:43 2019\n",
       "    comment:        Simulation of a city by UrbClim model</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e39b38a2-e121-45d3-8129-a17bd0ddbc50' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e39b38a2-e121-45d3-8129-a17bd0ddbc50' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 744</li><li><span class='xr-has-index'>x</span>: 201</li><li><span class='xr-has-index'>y</span>: 201</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fd0d774a-2861-4aa5-ab65-dd00c08bb3d6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd0d774a-2861-4aa5-ab65-dd00c08bb3d6' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4247283.0 4247383.0 ... 4267283.0</div><input id='attrs-c77f51ec-bbe3-42d2-a265-8da55b2ea33b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c77f51ec-bbe3-42d2-a265-8da55b2ea33b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d459d034-99aa-4da0-9c9e-2de6c53d3349' class='xr-var-data-in' type='checkbox'><label for='data-d459d034-99aa-4da0-9c9e-2de6c53d3349' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x-coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>East-West</dd><dt><span>crs :</span></dt><dd>EPSG:3035 (ETRS89 / LAEA Europe)</dd></dl></div><div class='xr-var-data'><pre>array([4247283., 4247383., 4247483., ..., 4267083., 4267183., 4267283.],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2473439.0 2473539.0 ... 2493439.0</div><input id='attrs-dd4d2fde-441c-4145-814b-ede2ac31697f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd4d2fde-441c-4145-814b-ede2ac31697f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d7e1942-e12d-4b62-82dc-e47f1df441eb' class='xr-var-data-in' type='checkbox'><label for='data-1d7e1942-e12d-4b62-82dc-e47f1df441eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y-coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>North-South</dd><dt><span>crs :</span></dt><dd>EPSG:3035 (ETRS89 / LAEA Europe)</dd></dl></div><div class='xr-var-data'><pre>array([2473439., 2473539., 2473639., ..., 2493239., 2493339., 2493439.],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7cae337b-b238-4b4d-8565-b5edfa4b505c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cae337b-b238-4b4d-8565-b5edfa4b505c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-012ebf93-b3f8-4dd0-8f28-ab54db260d34' class='xr-var-data-in' type='checkbox'><label for='data-012ebf93-b3f8-4dd0-8f28-ab54db260d34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>crs :</span></dt><dd>EPSG:4326 (WGS84)</dd></dl></div><div class='xr-var-data'><pre>array([[45.369   , 45.36901 , 45.369022, ..., 45.370945, 45.370953, 45.370964],\n",
       "       [45.3699  , 45.36991 , 45.369923, ..., 45.371845, 45.371857, 45.371864],\n",
       "       [45.370804, 45.370815, 45.370827, ..., 45.37275 , 45.372757, 45.372765],\n",
       "       ...,\n",
       "       [45.547405, 45.547417, 45.54743 , ..., 45.54936 , 45.549366, 45.549374],\n",
       "       [45.548306, 45.548317, 45.54833 , ..., 45.55026 , 45.550266, 45.550274],\n",
       "       [45.549206, 45.549217, 45.54923 , ..., 45.55116 , 45.551167, 45.551178]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-34efc01c-22d2-44aa-86b1-0e52e38faf0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34efc01c-22d2-44aa-86b1-0e52e38faf0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6c2b3d0-4868-4d87-80fb-2763910435b0' class='xr-var-data-in' type='checkbox'><label for='data-c6c2b3d0-4868-4d87-80fb-2763910435b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>crs :</span></dt><dd>EPSG:4326 (WGS84)</dd></dl></div><div class='xr-var-data'><pre>array([[9.06043 , 9.061704, 9.062978, ..., 9.312778, 9.314053, 9.315328],\n",
       "       [9.060414, 9.061688, 9.062963, ..., 9.312767, 9.314042, 9.315316],\n",
       "       [9.060399, 9.061673, 9.062947, ..., 9.312756, 9.314031, 9.315305],\n",
       "       ...,\n",
       "       [9.057381, 9.05866 , 9.059938, ..., 9.310549, 9.311828, 9.313106],\n",
       "       [9.057365, 9.058644, 9.059922, ..., 9.310537, 9.311816, 9.313095],\n",
       "       [9.05735 , 9.058628, 9.059907, ..., 9.310526, 9.311805, 9.313084]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-01-01 ... 2017-01-31T23:00:00</div><input id='attrs-1f374117-a440-446d-9c61-e06773e93cfe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f374117-a440-446d-9c61-e06773e93cfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fd32b08-dc16-4e72-a8de-326009ac2edb' class='xr-var-data-in' type='checkbox'><label for='data-2fd32b08-dc16-4e72-a8de-326009ac2edb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>valid time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2017-01-01T00:00:00.000000000&#x27;, &#x27;2017-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;2017-01-01T02:00:00.000000000&#x27;, ..., &#x27;2017-01-31T21:00:00.000000000&#x27;,\n",
       "       &#x27;2017-01-31T22:00:00.000000000&#x27;, &#x27;2017-01-31T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae5b71b6-51fe-4d7f-a718-294c3c5d0ed6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ae5b71b6-51fe-4d7f-a718-294c3c5d0ed6' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sfcWind</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-700e32d1-5d0d-4af5-adc1-e3affeca1d64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-700e32d1-5d0d-4af5-adc1-e3affeca1d64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49a0ae07-fd6b-471e-9aab-99dad9dc3b42' class='xr-var-data-in' type='checkbox'><label for='data-49a0ae07-fd6b-471e-9aab-99dad9dc3b42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>[30058344 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-20a0dde6-cd09-4a4e-8d18-c98f453763d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20a0dde6-cd09-4a4e-8d18-c98f453763d0' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>Urban climate modelled with UrbClim</dd><dt><span>references :</span></dt><dd>doi.org/10.1016/j.uclim.2015.01.001 </dd><dt><span>source :</span></dt><dd>UrbClim simulations</dd><dt><span>institution :</span></dt><dd>VITO (www.vito.be)</dd><dt><span>contact :</span></dt><dd>bd_rma@vito.be</dd><dt><span>project :</span></dt><dd>Copernicus Climate Change Service (C3S) Sectoral Information System (SIS) European Health</dd><dt><span>creation_date :</span></dt><dd>Sun May 12 03:28:43 2019</dd><dt><span>comment :</span></dt><dd>Simulation of a city by UrbClim model</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 744, x: 201, y: 201)\n",
       "Coordinates:\n",
       "  * x          (x) float32 4247283.0 4247383.0 4247483.0 ... 4267183.0 4267283.0\n",
       "  * y          (y) float32 2473439.0 2473539.0 2473639.0 ... 2493339.0 2493439.0\n",
       "    latitude   (y, x) float32 ...\n",
       "    longitude  (y, x) float32 ...\n",
       "  * time       (time) datetime64[ns] 2017-01-01 ... 2017-01-31T23:00:00\n",
       "Data variables:\n",
       "    sfcWind    (time, y, x) float32 ...\n",
       "Attributes:\n",
       "    conventions:    CF-1.6\n",
       "    title:          Urban climate modelled with UrbClim\n",
       "    references:     doi.org/10.1016/j.uclim.2015.01.001 \n",
       "    source:         UrbClim simulations\n",
       "    institution:    VITO (www.vito.be)\n",
       "    contact:        bd_rma@vito.be\n",
       "    project:        Copernicus Climate Change Service (C3S) Sectoral Informat...\n",
       "    creation_date:  Sun May 12 03:28:43 2019\n",
       "    comment:        Simulation of a city by UrbClim model"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ws_ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Per lavorare meglio con i parametri singoli, devi convertire i `Xarray Dataset` in `Xarray Data Array`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "at_da = at_ds['tas']\n",
    "ws_da = ws_ds['sfcWind']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Per vedere le mappe dei vari parametri, rendi monodimensionale la variabile del tempo:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "at_mean = at_da.mean(dim='time')\n",
    "ws_mean = ws_da.mean(dim='time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ora puoi creare mappe per visualizzare i dati:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualise(variable, longitude, latitude, colourmap, title, label):\n",
    "    \"\"\" \n",
    "    Visualizza un Xarray Data Array con la funzione di matplotlib 'pcolormesh'.\n",
    "    \n",
    "    Parametri:\n",
    "        variable: variabile dei dati, per esempio la temperatura dell'aria\n",
    "        longitude: valori di longitudine per la variabile di dati\n",
    "        latitude: valori di latitudine per la variabile di dati\n",
    "        colourmap: mappa di colori per mostrare la gamma di valori\n",
    "        title: titolo della mappa\n",
    "        label: etichetta nella legenda, ad esempio 'Temperatura (Kelvin)'\n",
    "    \"\"\"\n",
    "    # creare il pannello della figura \n",
    "    fig = plt.figure(figsize=(10,5))\n",
    "    # creare la mappa usando la proiezione di PlateCarree\n",
    "    ax = plt.subplot(1,1,1, projection=ccrs.PlateCarree())\n",
    "    # aggiungere una griglia lat lon\n",
    "    gl = ax.gridlines(draw_labels=True, linewidth=1, color='gray', alpha=0.5, linestyle='--')\n",
    "    gl.right_labels = None\n",
    "    gl.top_labels = None\n",
    "    # aggiungere un titolo\n",
    "    ax.set_title(title)\n",
    "    # creare il grafico\n",
    "    im = plt.pcolormesh(longitude, latitude,\n",
    "                        variable, cmap=colourmap, transform=ccrs.PlateCarree())\n",
    "    # aggiungere la legenda\n",
    "    cbar = plt.colorbar(im)\n",
    "    cbar.set_label(label)\n",
    "\n",
    "    return fig, ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 720x360 with 2 Axes>,\n",
       " <cartopy.mpl.geoaxes.GeoAxesSubplot at 0x1b2ba102b20>)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualise(at_mean, at_mean.longitude, at_mean.latitude, 'bwr', \n",
    "          'Surface Temperature Milan January 2017', 'Surface Temperature (Kelvin)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 720x360 with 2 Axes>,\n",
       " <cartopy.mpl.geoaxes.GeoAxesSubplot at 0x1b2ba1f42b0>)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualise(ws_mean, ws_mean.longitude, ws_mean.latitude, 'bwr', \n",
    "          'Wind Speed Milan January 2017', 'Wind Speed (m/s)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calcolare indice di wind chill\n",
    "\n",
    "Qui vediamo l'esempio di un indice creato da vari parametri. In questo caso l'indice di wind chill, che si può calcolare con la temperatura dell'aria e la velocità del vento, tutte due vicino alla superficie. Esistono vari indici per calcolare il wind chill, noi useremo l'indice del Nord America e del Regno Unito:\n",
    "\n",
    "$\\textit{T}_{WC} = 13.12 + 0.6215\\textit{T}_{a} - 11.37\\upsilon^{0.16} + 0.3965\\textit{T}_{a}\\upsilon^{0.16}$\n",
    "\n",
    "where:\n",
    "- $\\textit{T}_{WC}$ = indice di wind chill\n",
    "- $\\textit{T}_{a}$ = temperature dell'aria in Celsius\n",
    "- $\\upsilon$ = velocita del vento a 10 m altezza di un anemometro standard, in chilometri all'ora."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Per calcolare $\\textit{T}_{WC}$ devi prima assicurarti che i dati siano nelle unità giuste. Per la velocità del vento devi convertire da m/s a km/h, e per la temperatura dell'aria da Kelvin a Celsius:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# velocità del vento, convertire da m/s a km/h: si10 * 1000 / (60*60)\n",
    "ws_kmh = ws_mean * 3600 / 1000\n",
    "# temperatura dell'aria, convertire da Kelvin a Celsius: t2m - 273.15\n",
    "at_cel = at_mean - 273.15"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Poi puoi applicare la formula per calcolare il wind chill:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "twc = 13.12 + (0.6215*at_cel) - (11.37*(ws_kmh**0.16)) + (0.3965*at_cel*(ws_kmh**0.16))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alla fine puoi creare una mappa del wind chill a gennaio 2017 a Milano:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 720x360 with 2 Axes>,\n",
       " <cartopy.mpl.geoaxes.GeoAxesSubplot at 0x1b2b8cf5340>)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualise(twc, twc.longitude, twc.latitude, 'viridis', \n",
    "          'Wind Chill Milan January 2017', 'Wind Chill Index')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "<b>La mappa di wind chill assomiglia più a quella sulla temperatura o sul vento? Per rispondere meglio, cambia la mappa di colori con quella usata per le mappe su temperatura e vento.</b></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calcolare anomalie e climatologie per Milano con dati ERA-5\n",
    "#### Scaricare dati\n",
    "Nel CDS https://cds.climate.copernicus.eu/ cerca il dataset `ERA5-Land monthly averaged data from 1981 to present`. Poi, nella finestra `Download data`, scegli i seguenti parametri:\n",
    "\n",
    "- Product type: `Monthly averaged reanalysis`\n",
    "- Variable: `2m temperature`\n",
    "- Year: `1981 to 2019`\n",
    "- Month: `all`\n",
    "- Time: `00:00` (default)\n",
    "- Geographical area: North: `45.5`, East: `9.3`, South: `45.4`, West: `9.1` \n",
    "- Format: `NetCDF`\n",
    "\n",
    "In fondo alla pagina, scegli `Show API request`. Poi copia il codice, e incollalo dentro la cella seguente, cambiando solo il nome del file .zip alla fine del blocco di codici. Poi lancialo per scaricare i dati..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-11-15 15:32:42,095 INFO Welcome to the CDS\n",
      "2020-11-15 15:32:42,095 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-land-monthly-means\n",
      "2020-11-15 15:32:42,354 INFO Request is queued\n",
      "2020-11-15 15:32:43,403 INFO Request is running\n",
      "2020-11-15 15:37:00,818 INFO Request is completed\n",
      "2020-11-15 15:37:00,819 INFO Downloading http://136.156.133.41/cache-compute-0013/cache/data5/adaptor.mars.internal-1605454361.3754423-29859-21-b3b08691-145f-487b-92a0-b63573be40c2.nc to ./milan/ERA5_Land_t2m_Milan.nc (8.4K)\n",
      "2020-11-15 15:37:00,941 INFO Download rate 68.9K/s                                                                     \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Result(content_length=8564,content_type=application/x-netcdf,location=http://136.156.133.41/cache-compute-0013/cache/data5/adaptor.mars.internal-1605454361.3754423-29859-21-b3b08691-145f-487b-92a0-b63573be40c2.nc)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import cdsapi\n",
    "\n",
    "c = cdsapi.Client()\n",
    "\n",
    "c.retrieve(\n",
    "    'reanalysis-era5-land-monthly-means',\n",
    "    {\n",
    "        'format': 'netcdf',\n",
    "        'product_type': 'monthly_averaged_reanalysis',\n",
    "        'variable': '2m_temperature',\n",
    "        'year': [\n",
    "            '1981', '1982', '1983',\n",
    "            '1984', '1985', '1986',\n",
    "            '1987', '1988', '1989',\n",
    "            '1990', '1991', '1992',\n",
    "            '1993', '1994', '1995',\n",
    "            '1996', '1997', '1998',\n",
    "            '1999', '2000', '2001',\n",
    "            '2002', '2003', '2004',\n",
    "            '2005', '2006', '2007',\n",
    "            '2008', '2009', '2010',\n",
    "            '2011', '2012', '2013',\n",
    "            '2014', '2015', '2016',\n",
    "            '2017', '2018', '2019',\n",
    "        ],\n",
    "        'month': [\n",
    "            '01', '02', '03',\n",
    "            '04', '05', '06',\n",
    "            '07', '08', '09',\n",
    "            '10', '11', '12',\n",
    "        ],\n",
    "        'time': '00:00',\n",
    "        'area': [\n",
    "            45.5, 9.1, 45.4,\n",
    "            9.3,\n",
    "        ],\n",
    "    },\n",
    "    './milan/ERA5_Land_t2m_Milan.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Segui gli stessi passi di prima per creare un Xarray Dataset dei dati, poi un Xarray Data Array per la variabile `2m temperature` o `t2m` come il nome dato nel file NetCDF."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "t2m_nc = './milan/ERA5_Land_t2m_Milan.nc'\n",
    "t2m_ds = xr.open_dataset(t2m_nc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 2, longitude: 3, time: 468)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 9.1 9.2 9.3\n",
       "  * latitude   (latitude) float32 45.5 45.4\n",
       "  * time       (time) datetime64[ns] 1981-01-01 1981-02-01 ... 2019-12-01\n",
       "Data variables:\n",
       "    t2m        (time, latitude, longitude) float32 273.53787 ... 278.6278\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2020-11-15 15:36:25 GMT by grib_to_netcdf-2.16.0: /opt/ecmw...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b972307a-a4e2-44f7-a2f4-7448521a4087' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b972307a-a4e2-44f7-a2f4-7448521a4087' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 3</li><li><span class='xr-has-index'>time</span>: 468</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b5aba13e-2a7b-4165-bbb6-fb76591eee70' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5aba13e-2a7b-4165-bbb6-fb76591eee70' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.1 9.2 9.3</div><input id='attrs-73eaa4bf-43ff-4069-aa00-0c238c3e1e02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73eaa4bf-43ff-4069-aa00-0c238c3e1e02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e47041ea-ad0b-43bb-8183-20258168c684' class='xr-var-data-in' type='checkbox'><label for='data-e47041ea-ad0b-43bb-8183-20258168c684' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([9.1, 9.2, 9.3], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>45.5 45.4</div><input id='attrs-c2fef07f-2da0-48c4-a420-21e2b9a2c54e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2fef07f-2da0-48c4-a420-21e2b9a2c54e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d85df01c-895c-47d0-84ad-e63662d94588' class='xr-var-data-in' type='checkbox'><label for='data-d85df01c-895c-47d0-84ad-e63662d94588' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([45.5, 45.4], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2019-12-01</div><input id='attrs-fc63fe9a-b675-4a82-a4c6-8e87585ce769' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc63fe9a-b675-4a82-a4c6-8e87585ce769' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57ca315b-7082-4324-8422-617e7f78cdbe' class='xr-var-data-in' type='checkbox'><label for='data-57ca315b-7082-4324-8422-617e7f78cdbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-01T00:00:00.000000000&#x27;, ..., &#x27;2019-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-11-01T00:00:00.000000000&#x27;, &#x27;2019-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-686e8db0-e5bd-43d0-b97f-d024ce4be2c9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-686e8db0-e5bd-43d0-b97f-d024ce4be2c9' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a8be1fa-a95c-4714-bff7-0bef1b0e1df3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a8be1fa-a95c-4714-bff7-0bef1b0e1df3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe7abfda-ed9f-4dab-b113-05ab940b7e26' class='xr-var-data-in' type='checkbox'><label for='data-fe7abfda-ed9f-4dab-b113-05ab940b7e26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[273.53787, 273.5982 , 273.69388],\n",
       "        [273.63544, 273.71744, 273.78766]],\n",
       "\n",
       "       [[275.40198, 275.40387, 275.41943],\n",
       "        [275.71637, 275.68713, 275.61078]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[281.7202 , 281.74756, 281.79846],\n",
       "        [282.0115 , 282.08362, 282.10907]],\n",
       "\n",
       "       [[278.38553, 278.4091 , 278.43832],\n",
       "        [278.57877, 278.6278 , 278.6278 ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-59fbce89-8095-4857-9141-babb72854c6d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-59fbce89-8095-4857-9141-babb72854c6d' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>2020-11-15 15:36:25 GMT by grib_to_netcdf-2.16.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -o /cache/data5/adaptor.mars.internal-1605454361.3754423-29859-21-b3b08691-145f-487b-92a0-b63573be40c2.nc /cache/tmp/b3b08691-145f-487b-92a0-b63573be40c2-adaptor.mars.internal-1605454361.3759701-29859-5-tmp.grib</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 2, longitude: 3, time: 468)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 9.1 9.2 9.3\n",
       "  * latitude   (latitude) float32 45.5 45.4\n",
       "  * time       (time) datetime64[ns] 1981-01-01 1981-02-01 ... 2019-12-01\n",
       "Data variables:\n",
       "    t2m        (time, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2020-11-15 15:36:25 GMT by grib_to_netcdf-2.16.0: /opt/ecmw..."
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t2m_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Per lavorare meglio con il parametro singolo, si converte in Xarray Data Array:\n",
    "t2m_da = t2m_ds['t2m']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Questi dati hanno una risoluzione spaziale molto inferiore rispetto a quella del sis-urban-climate-cities. Però in questo caso non vuoi creare una mappa, ma lavorare con una serie temporale su un punto, cioè un unico \"pixel\" su Milano. Quindi devi rendere monodimensionale la variabile dello spazio:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "t2m = t2m_da.mean([\"longitude\", \"latitude\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Fare grafici di serie temporali: trend e anomalie\n",
    "Ora puoi vedere come cambia la temperatura di Milano nella serie temporale dal 1981 al 2019."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '2m Temperature in Milan from 1981 to 2019')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,5))\n",
    "ax = plt.subplot()\n",
    "ax.set_ylabel('t2m')\n",
    "ax.set_xlabel('time')\n",
    "ax.plot(t2m.time, t2m, color='green', label='2m Temperature Milan')\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "ax.legend(handles, labels)\n",
    "ax.set_title('2m Temperature in Milan from 1981 to 2019')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In questo grafico è difficile notare tendenze della temperatura, perché c'è una differenza stagionale troppo grande per percepire differenze sottili. Per rimuovere le variazioni stagionali, esamina la media annuale:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "t2m_y = t2m.groupby('time.year').mean('time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Inoltre, invece di vedere le temperature assolute, analizza le anomalie rispetto a una media. Per farlo, devi prima calcolare la media per un periodo di riferimento. Un periodo usato frequentemente è quello dal 1981 al 2010:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "ref = t2m_y.where((t2m_y.year > 1980) & (t2m_y.year < 2011), drop=True)\n",
    "ref = ref.mean(dim=\"year\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "anom = t2m_y - ref"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '2m Temperature Anomalies in Milan from 1981 to 2019')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creare una linea orizzontale tratteggiata per indicare la media dell'anomalia\n",
    "mean_line = xr.DataArray(0.0, coords=[('year', np.arange(1981,2010))])\n",
    "\n",
    "fig = plt.figure(figsize=(8,5))\n",
    "ax = plt.subplot()\n",
    "ax.set_ylabel('t2m anomaly')\n",
    "ax.set_xlabel('year')\n",
    "ax.plot(anom.year, anom, color='green', label='2m Temperature Anomalies Milan')\n",
    "ax.plot(mean_line.year, mean_line, color='red', linestyle='dashed', label='Mean anomaly 1981-2010')\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "ax.legend(handles, labels)\n",
    "ax.set_title('2m Temperature Anomalies in Milan from 1981 to 2019')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ora vedrai più chiaramente la tendenza della temperatura dal 1980 al 2019."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calcolare la climatologia\n",
    "Qui farai il calcolo della climatologia mensile. In particolare, calcolerai la media e deviazione standard della temperatura nella seria temporale per ogni singolo mese. Poi farai un confronto fra le temperature mensili del 2019 e la climatologia."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Per capire meglio i valori della temperatura, convertili in Celsius:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "t2mC = t2m - 273.15"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calcola quindi la climatologia:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "t2m_m_m = t2mC.groupby('time.month').mean('time')\n",
    "t2m_m_sd = t2mC.groupby('time.month').std('time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "E le temperature del 2019:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "t2m_2019 = t2mC.sel(time='2019')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Infine, puoi creare un grafico che fa un confronto fra le temperature mensili del 2019 e la climatologia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 't2m climatology (1981 to 2019) compared with 2019')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,5))\n",
    "ax = plt.subplot()\n",
    "ax.set_ylabel('t2m (Celsius)')\n",
    "ax.set_xlabel('month')\n",
    "ax.plot(t2m_m_m.month, t2m_m_m, color='gray', linestyle='dashed', label='t2m mean, shading: +/- SD')\n",
    "ax.plot(t2m_m_m.month, (t2m_m_m + t2m_m_sd), color='gray', alpha=0.1)\n",
    "ax.plot(t2m_m_m.month, (t2m_m_m - t2m_m_sd), color='gray', alpha=0.1)\n",
    "ax.fill_between(t2m_m_m.month, (t2m_m_m + t2m_m_sd), (t2m_m_m - t2m_m_sd), color='gray', alpha=0.1)\n",
    "ax.plot(t2m_m_m.month, t2m_2019, color='red', label='t2m 2019')\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "ax.legend(handles, labels)\n",
    "ax.set_title('t2m climatology (1981 to 2019) compared with 2019')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "<b>Puoi trarre delle conclusioni dai valori della temperatura a Milano nel 2019, in base a questo grafico?</b></div>"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}