Radiation

class konrad.radiation.Radiation(*args, **kwargs)

Abstract base class to define requirements for radiation models.

__init__(zenith_angle=42.05, bias=None)

Parameters

• zenith_angle (float) – Zenith angle of the sun. The default angle of 42.05 degree results in 409.6 W/m^2 solar insolation at the top of the atmosphere when used together with a solar constant of 551.58 W/m^2. This is a reasonable insolation for tropical latitudes. In this case, a surface enthalpy transport needs to included to prevent a runaway greenhouse. If a diurnal cycle is used in full konrad runs, this angle represents latitude.

• bias (dict-like) – A dict-like object that stores bias corrections for the diagnostic variable specified by its key, e.g. bias = {‘net_htngrt’: 2}.

Methods

__init__([zenith_angle, bias])	param zenith_angle Zenith angle of the sun.
adjust_solar_angle(time)	Adjust the zenith angle of the sun according to time of day.
calc_radiation(atmosphere, surface, cloud)
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.
set(variable, value)	Set the values of a variable.
to_dataset()	Convert model component into an xarray.Dataset.
update_heatingrates(atmosphere[, surface, cloud])	Returns xr.Dataset containing radiative transfer results.

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.