Time-evolving states based on horizontally homogeneous timeseries data

Attributes¶

ref_xy: list of float

The [x, y] or [x, y, z] coordinates of the base states. If [x, y, z] then z will serve as height

tl_heights: list of float

The heights at which timelines will be calculated

dt_min: float

The delta t value in minutes, if not from timeseries data

intp_pars: dict

Parameters for height interpolation with scipy.interpolate.interpn

Public members¶

OnePointFlowStates(ref_xy, *base_states_args, base_states=None, ...)[source]

Constructor.

__repr__()[source]

Return repr(self).

sub_models()[source]

List of all sub-models

initialize(algo, verbosity=0)[source]

Initializes the model.

size()[source]

The total number of states.

index()[source]

The index list

output_point_vars(algo)[source]

The variables which are being modified by the model.

weights(algo)[source]

The statistical weights of all states.

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

calc_states_indices(algo, mdata, points, hi, ref_xy)[source]

calculate(algo, mdata, fdata, tdata)[source]

The main model calculation.

reset(algo=None, states_sel=None, states_loc=None, verbosity=0)[source]

Reset the states, optionally select states

load_data(algo, verbosity=0)[source]

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

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

Run-time states factory.

output_coords()[source]

Gets the coordinates of all output arrays

ensure_variables(algo, mdata, fdata, tdata)[source]

Add variables to tdata, 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.

property running

Flag for currently running models

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