pysteps.verification.salscores.sal¶

pysteps.verification.salscores.sal(prediction, observation, thr_factor=0.067, thr_quantile=0.95, tstorm_kwargs=None)¶

Compute the Structure-Amplitude-Location (SAL) spatial verification metric.

Parameters

prediction: array-like: Array of shape (m,n) with prediction data. NaNs are ignored.
observation: array-like: Array of shape (m,n) with observation data. NaNs are ignored.
thr_factor: float, optional: Factor used to compute the detection threshold as in eq. 1 of [WHZ09]. If not None, this is used to identify coherent objects enclosed by the threshold contour thr_factor * thr_quantile(precip).
thr_quantile: float, optional: The wet quantile between 0 and 1 used to define the detection threshold. Required if thr_factor is not None.
tstorm_kwargs: dict, optional: Optional dictionary containing keyword arguments for the tstorm feature detection algorithm. If None, default values are used. See the documentation of pysteps.feature.tstorm.detection().

Returns

sal: tuple of floats: A 3-element tuple containing the structure, amplitude, location components of the SAL score.