{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[]},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["# Meteograma"],"metadata":{"id":"iXNv7WSSuFB-"}},{"cell_type":"markdown","source":["(Última actualización 1 sep 2023)\n","\n","| En este ejemplo discribimos como hacer una figura que muestre la evolución de la temperatura a 2 m y la precipitación horaria en todos los plazos de pronóstico para una latitud y longitud determinada.\n","| *In this example we describe how to plot the hourly evolution of 2-m temperature and precipitation for a given place.*"],"metadata":{"id":"m_J1MaG8uUZY"}},{"cell_type":"code","source":["# En caso de utilizar Google Colab, descomentar las siguientes líneas\n","# In case of using Google Colab, uncomment the following lines\n","\n","#!pip install cartopy"],"metadata":{"id":"j_CcBtcI-jnX"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Importamos las librerías necesarias\n","# We import the necessary libraries\n","import xarray as xr\n","import h5netcdf\n","import datetime\n","import cartopy.crs as ccrs\n","import matplotlib.pyplot as plt"],"metadata":{"id":"OD9DMVTfu4cP"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["| Definimos la fecha de inicialización del pronóstico y la latitud y longitud a consultar:\n","| *We define the forecast initialization date, latitude and longitude of interest:*"],"metadata":{"id":"ARyi7nTAu-MH"}},{"cell_type":"code","source":["init_year = 2022\n","init_month = 4\n","init_day = 1\n","init_hour = 0\n","INIT_DATE = datetime.datetime(init_year, init_month, init_day, init_hour)\n","\n","latitude = -40\n","longitude = -50"],"metadata":{"id":"e9ZILfqzYPx4"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["| Leemos los pronósticos:\n","| *We read the forecast:*"],"metadata":{"id":"XDejDEgT6TLL"}},{"cell_type":"code","source":["# Descomentar la opción elegida:\n","\n","# --------\n","# Opción 1: Para acceder a los archivos online\n","# Option 1: To access files online\n","#!pip install s3fs\n","#import s3fs\n","#fs = s3fs.S3FileSystem(anon=True)\n","#files = fs.glob(f'smn-ar-wrf/DATA/WRF/DET/{INIT_DATE:%Y/%m/%d/%H}/WRFDETAR_01H_{INIT_DATE:%Y%m%d_%H}_*.nc')\n","#ds_list = []\n","#for s3_file in files:\n","# print(s3_file)\n","# f = fs.open(s3_file)\n","# ds_tmp = xr.open_dataset(f, decode_coords = 'all', engine = 'h5netcdf')\n","# ds_list.append(ds_tmp)\n","# --------\n","\n","# --------\n","# Opción 2: Para abrir los archivos ya descargados\n","# Option 2: To open the already downloaded files\n","#files = ['WRFDETAR_01H_{:%Y%m%d_%H}_{:03d}.nc'.format(INIT_DATE,lead_time) for lead_time in range(0, 73)]\n","#ds_list = []\n","#for file in files:\n","# print(file)\n","# ds_tmp = xr.open_dataset(file, decode_coords = 'all', engine = 'h5netcdf')\n","# ds_list.append(ds_tmp)\n","\n","ds = xr.combine_by_coords(ds_list, combine_attrs = 'drop_conflicts')\n"],"metadata":{"id":"-3Ig2Q6-vLpT"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["| Obtenemos los valores pronosticados en el punto seleccionado:\n","| *We get the appropriate forecast value:*"],"metadata":{"id":"ca00UwVhYN58"}},{"cell_type":"code","source":["# Buscamos la ubicación del punto más cercano a la latitud y longitud solicitada\n","# We search the closest gridpoint to the selected lat-lon\n","data_crs = ccrs.LambertConformal(central_longitude = ds['Lambert_Conformal'].attrs['longitude_of_central_meridian'],\n"," central_latitude = ds['Lambert_Conformal'].attrs['latitude_of_projection_origin'],\n"," standard_parallels = ds['Lambert_Conformal'].attrs['standard_parallel'])\n","x, y = data_crs.transform_point(longitude, latitude, src_crs=ccrs.PlateCarree())\n","\n","# Seleccionamos el dato más cercano a la latitud y longitud\n","# We extract the value at the chosen gridpoint\n","forecast = ds.sel(dict(x = x, y = y), method = 'nearest')\n","\n","# Obtenemos la serie de temperatura a 2 m, precipitación acumulada y de fechas\n","# We get of time series for the 2-m temperature, accumulated precipitation and dates\n","T2 = forecast['T2']\n","PP = forecast['PP']\n","dates = forecast['time'].values\n"],"metadata":{"id":"qqB4Zy8NY6dB"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["| Realizamos la figura:\n","| *We create the plot:*"],"metadata":{"id":"VmT8JWCDZGpX"}},{"cell_type":"code","source":["# Iniciamos de la figura\n","# We generate the plot\n","fig, ax = plt.subplots(figsize = (10, 8))\n","# Duplicamos el eje x\n","# We double x axis\n","ax2 = ax.twinx()\n","# Graficamos la precipitación en barras\n","# We choose bar diagram for precipitation\n","ax.bar(dates, PP, color = 'blue', width = 0.03, label = 'Acc Precip')\n","# Graficamos la temperatura con una línea\n","# We choose simple lines for temperature\n","ax2.plot(dates, T2, color = 'red', label = '2-m Temp', linewidth = 3)\n","# Definimos las etiquetas de los ejes\n","# We define the labels in the axes\n","ax.set_xlabel('Date')\n","ax2.set_ylabel('T 2m (°C)')\n","ax.set_ylabel('PP (mm)')\n","# Definimos el título de la figura\n","# We define the title of figure\n","plt.title(f'2-m temperature and accumulated precipitation at \\n lat = {latitude:0.2f}, lon = {longitude:0.2f}')\n","# Graficamos la leyenda\n","# We locate color legend in the upper right corner\n","fig.legend(loc = 'upper right')\n","# Ajustamos el gráfico al tamaño de la figura\n","# We adjuste graphic size\n","plt.tight_layout()"],"metadata":{"id":"Uc9IB-7Xbc18","colab":{"base_uri":"https://localhost:8080/","height":815},"executionInfo":{"status":"ok","timestamp":1690472281709,"user_tz":180,"elapsed":1537,"user":{"displayName":"Federico Cutraro","userId":"17057351904426812022"}},"outputId":"9b5b77ee-1ff1-440a-8beb-de5d03bbef0d"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]}]}