hydromt.stats.extremes.get_return_value#
- hydromt.stats.extremes.get_return_value(da_params: DataArray, rps: ndarray[Any, dtype[int64]] = array([2, 5, 10, 25, 50, 100, 250, 500]), extremes_rate: float = 1.0) DataArray [source]#
Return return value based on EVA.
Return return values based on a fitted extreme value distribution using the
fit_extremes()
method based on the scipy inverse survival function (isf).- Parameters:
da_params (
xr.DataArray
) – Short name and parameters of extreme value distribution, see alsofit_extremes()
.rps (
np.ndarray
, optional) – Array of return periods in years, by default [1.5, 2, 5, 10, 20, 50, 100, 200, 500]extremes_rate (
float
, optional) – Average number of peaks per period, by default 1.0 Only used if extremes_rate is not provided as coordinate in da_params.
- Returns:
Return values
- Return type:
xr.DataArray