hydromt_wflow.WflowModel.setup_temp_pet_forcing#

WflowModel.setup_temp_pet_forcing(temp_pet_fn: str = 'era5', pet_method: str = 'debruin', press_correction: bool = True, temp_correction: bool = True, dem_forcing_fn: str = 'era5_orography', skip_pet: str = False, chunksize: Optional[int] = None, **kwargs) → None[source]#

Setup gridded reference evapotranspiration forcing at model resolution.

Adds model layer:

  • pet: reference evapotranspiration [mm]

  • temp: temperature [°C]

Parameters:

  • temp_pet_fn (str, optional) –

    Name or path of data source with variables to calculate temperature and reference evapotranspiration, see data/forcing_sources.yml, by default ‘era5’.

    • Required variable for temperature: [‘temp’]

    • Required variables for De Bruin reference evapotranspiration: [‘temp’, ‘press_msl’, ‘kin’, ‘kout’]

    • Required variables for Makkink reference evapotranspiration: [‘temp’, ‘press_msl’, ‘kin’]

  • pet_method ({'debruin', 'makkink'}, optional) – Reference evapotranspiration method, by default ‘debruin’.

  • press_correction (bool, optional) – If True pressure, temperature are corrected using elevation lapse rate, by default False.

  • temp_correction (bool, optional) – If True pressure, temperature are corrected using elevation lapse rate, by default False.

  • dem_forcing_fn (str, default None) – Elevation data source with coverage of entire meteorological forcing domain. If temp_correction is True and dem_forcing_fn is provided this is used in combination with elevation at model resolution to correct the temperature.

  • skip_pet (bool, optional) – If True calculate temp only.

  • chunksize (int, optional) – Chunksize on time dimension for processing data (not for saving to disk!). If None the data chunksize is used, this can however be optimized for large/small catchments. By default None.