debiasApply: Apply Bias Correction to Large Ensemble Forecast Data Sets

In jonasbhend/biascorrection: Bias Correct Ensemble Forecasts

Apply Bias Correction to Large Ensemble Forecast Data Sets

Description

This wrapper allows to apply the bias correction methods supplied with debias to large arrays of ensemble forecast and observation data.

Usage

debiasApply(fcst, obs, method = "unbias", fcst.out = fcst, ..., atomic = FALSE)

Arguments

fcst	array of ensemble forecast data with arbitrary dimensions. The final dimensions contain lead times, forecast instances (usually years) and ensemble members in this order.
obs	array of observation used for calibration. Dimensions correspond to the fcst array without the last dimension.
method	character string with bias correction method name
fcst.out	array of ensemble forecast data that is to be calibrated. All but the forecast instance and ensemble dimensions have to be the same as for fcst.
...	Additional parameters passed on to debias
atomic	logical, should debiasing be applied to each forecast instance separately (in contrast to jointly over lead times)?

jonasbhend/biascorrection documentation built on Nov. 11, 2023, 1:16 a.m.