A profile based on numerical data.

Attributes¶

var: float

The value

data_z: numpy.ndarray

The z values, shape: (n_z,)

data_v: numpy.ndarray

The variable values, shape: (n_z,)

interp_pars: dict

Additional parameters for interpolation

Public members¶

DataProfile(data_source, variable, col_z=None, col_var=None, ...)[source]

Constructor

input_vars()[source]

The input variables needed for the profile calculation.

calculate(data, heights)[source]

Run the profile calculation.

classmethod new(profile_type, *args, **kwargs)[source]

Run-time vertical profile factory.

__repr__()[source]

Return repr(self).

property model_id

Unique id based on the model type.

var(v)[source]

Creates a model specific variable name.

property initialized

Initialization flag.

sub_models()[source]

List of all sub-models

load_data(algo, verbosity=0)[source]

Load and/or create all model data that is subject to chunking.

initialize(algo, verbosity=0, force=False)[source]

Initializes the model.

property running

Flag for currently running models

set_running(algo, data_stash, sel=None, isel=None, verbosity=0)[source]

Sets this model status to running, and moves all large data to stash.

unset_running(algo, data_stash, sel=None, isel=None, verbosity=0)[source]

Sets this model status to not running, recovering large data from stash

finalize(algo, verbosity=0)[source]

Finalizes the model.

get_data(variable, target, lookup='smfp', mdata=None, ...)[source]

Getter for a data entry in the model object or provided data sources