ConceptualCloud

class konrad.cloud.ConceptualCloud(*args, **kwargs)

__init__(atmosphere, cloud_top, depth, cloud_fraction, water_path=0.1, particle_size=100.0, phase='ice', coupling='pressure')

Initialize a conceptual cloud.

Parameters

• atmosphere (konrad.atmosphere.Atmosphere) – Atmosphere model.

• cloud_top (float) – Pressure at cloud top [Pa].

• depth (float) – Cloud depths in pressure units [Pa].

• cloud_fraction (float) – Cloud fraction [0-1].

• water_path (float) – Integrated water path [g m^-2].

• particle_size (float) – Cloud particle size [microns].

• phase (str) – Phase of cloud particles, either “ice” or “liquid”.

• coupling (str) –

  Mechanism with which the cloud top is coupled to the atmosphere profile:

  • ”pressure”: Fixed at given pressure.

  • ”convective_top”: Coupled to the convectio top.

  • ”freezing_level”: Coupled to the freezing level.

  • ”subsidence_divergence: Coupled to the maximum subsidence divergence.

  • ”temperature:TTT”: Coupled to the level where the temperature falls below TTT K.

Methods

__init__(atmosphere, cloud_top, depth, ...)	Initialize a conceptual cloud.
create_variable(name[, data, dims])	Create a variable in the model component.
from_atmosphere(atmosphere, **kwargs)	Initialize a cloud component matching the given atmosphere.
from_netcdf(ncfile[, timestep])	Load a model component from a netCDF file.
get(variable[, default, keepdims])	Get values of a given variable.
get_cloud_optical_properties(water_content)
get_p_data_array(values[, units])	Return a DataArray of values.
get_waveband_data_array(values[, units, sw])	Return a DataArray of values.
hash_attributes()	Create a hash from all hashable component attributes.
interpolation_function(cloud_parameter)	Calculate the interpolation function, to be used to maintain the cloud optical properties and keep the cloud attached to a normalisation level (self._norm_index).
overcast()	Set cloud fraction in cloud layers to 1 (full overcast).
set(variable, value)	Set the values of a variable.
shift_cloud_profile(norm_new)
shift_property(cloud_parameter, ...)	Shift the cloud area fraction according to a normalisation level.
to_dataset()	Convert model component into an xarray.Dataset.
update_cloud_profile(atmosphere[, ...])	Update the cloud profile depending on the atmospheric state.
update_cloud_top_plev(atmosphere[, ...])	Determine cloud top pressure depending on coupling mechanism.
update_cloud_top_temperature(atmosphere)	Determine the cloud top temperature

Attributes

attrs	Dictionary containing all attributes.
data_vars	Dictionary containing all data variables and their dimensions.
direct_input_parameters
netcdf_subgroups	Define subgroups used when storing to netCDF file.
num_longwave_bands	number of longwave bands used in the radiation scheme
num_shortwave_bands	number of shortwave bands used in the radiation scheme