optimize_parameters: EITrans::optimize_parameters

In Weiming-Hu/EITrans: Empirical Inverse Transform Function for Ensemble Calibration

Description

EITrans::optimize_parameters carries out a search for the optimized parameter combination for EITrans calibration with the input training ensembles forecasts and observations.

Usage

optimize_parameters(grid_search, ens_train, obs_train, verbose = F)

Arguments

grid_search	A data frame with columns left_deltas, right_deltas, left_infinity, right_infinity, and multiplier.
ens_train	A 4-dimensional array as training ensemble forecasts. Dimensions should be [stations, times, lead times, members].
obs_train	A 3-dimensional array for observations that correspond to the ensemble forecasts. Dimensions should be [stations, times, lead times].
verbose	Whether to print progress information.

Value

A list with member offsets calculated with each of the parameter combination and the rank histogram of the calibrated training forecast ensemble with the corresponding parameter combination.

Author(s)

Weiming Hu [e-mail]

Weiming-Hu/EITrans documentation built on March 26, 2021, 8:43 p.m.