The weighted regular grid rotor model, composed maximally of n x n points, possibly kicking out the outside points.

Attributes¶

n: int

The number of points along one direction, maximal number of points is N = n * n

reduce: bool

Flag for reduction to points actually representing an area with overlap with the circle, recalculating the self.__weights accordingly

nint: int

Integration steps per element

Public members¶

GridRotor(n, reduce=True, nint=200, **kwargs)[source]

Constructor.

__repr__()[source]

Return repr(self).

initialize(algo, verbosity=0)[source]

Initializes the model.

n_rotor_points()[source]

The number of rotor points

design_points()[source]

The rotor model design points.

rotor_point_weights()[source]

The weights of the rotor points

output_farm_vars(algo)[source]

The variables which are being modified by the model.

get_rotor_points(algo, mdata, fdata)[source]

Calculates rotor points from design points.

eval_rpoint_results(algo, mdata, fdata, tdata, weights, ...)[source]

Evaluate rotor point results.

calculate(algo, mdata, fdata, rpoints=None, weights=None, ...)[source]

Calculate ambient rotor effective results.

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

Run-time rotor model factory.

output_coords()[source]

Gets the coordinates of all output arrays

ensure_variables(algo, mdata, fdata)[source]

Add variables to fdata, initialized with NaN

run_calculation(algo, *data, out_vars, **calc_pars)[source]

Starts the model calculation in parallel, via xarray’s apply_ufunc.

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.

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