RRTMG¶

class konrad.radiation.RRTMG(*args, **kwargs)[source]¶

RRTMG radiation scheme using the CliMT python wrapper.

__init__(*args, solar_constant=551.58, mcica=False, **kwargs)[source]

Parameters

zenith_angle (float) – angle of the Sun [degrees]. In konrad, with no diurnal cycle, this should represent a diurnal mean zenith angle. With a diurnal cycle, this represents latitude. For single radiation calculations, this is the angle to the Sun at the time and location of interest.
bias (dict-like) – include bias corrections to the fluxes and/or heating rates
solar_constant (int) – [W m^-2]
mcica (bool) –
- False
  use the nomcica version of RRTMG (clear-sky or overcast)
- True
  use the mcica version of RRTMG (needed for partly cloudy skies)

Methods

`__init__`(*args[, solar_constant, mcica])	param zenith_angle angle of the Sun [degrees].
`adjust_solar_angle`(time)	Adjust the zenith angle of the sun according to time of day.
`calc_cloudy_nomcica_radiation`(atmosphere, ...)
`calc_radiation`(atmosphere, surface, cloud)	Updates the shortwave, longwave and net heatingrates.
`check_dataset`(dataset)	Check if a given dataset contains all required variables.
`correct_bias`(dataset)	Apply bias correction.
`create_variable`(name[, data, dims])	Create a variable in the model component.
`derive_diagnostics`()	Derive diagnostic variables from radiative transfer results.
`from_netcdf`(ncfile[, timestep])	Load a model component from a netCDF file.
`get`(variable[, default, keepdims])	Get values of a given variable.
`hash_attributes`()	Create a hash from all hashable component attributes.
`heatingrates_from_fluxes`(pressure, ...)	Calculate heating rates from radiative fluxes.
`init_radiative_state`(atmosphere, surface)
`radiative_fluxes`(atmosphere, surface, cloud)	Returns shortwave and longwave fluxes and heating rates.
`set`(variable, value)	Set the values of a variable.
`to_dataset`()	Convert model component into an xarray.Dataset.
`update_cloudy_radiative_state`(cloud, state0)
`update_heatingrates`(atmosphere[, surface, cloud])	Returns xr.Dataset containing radiative transfer results.
`update_radiative_state`(atmosphere, surface, ...)	Update CliMT formatted atmospheric state using parameters from our model.

Attributes

`attrs`	Dictionary containing all attributes.
`data_vars`	Dictionary containing all data variables and their dimensions.
`netcdf_subgroups`	Define subgroups used when storing to netCDF file.