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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/CST_BiasCorrection.R
\name{BiasCorrection}
\alias{BiasCorrection}
\title{Bias Correction based on the mean and standard deviation adjustment}
\usage{
BiasCorrection(
exp,
obs,
exp_cor = NULL,
na.rm = FALSE,
memb_dim = "member",
sdate_dim = "sdate",
ncores = NULL
\item{exp}{A multidimensional array with named dimensions containing the
seasonal forecast experiment data with at least 'member' and 'sdate'
dimensions.}
\item{obs}{A multidimensional array with named dimensions containing the
observed data with at least 'sdate' dimension.}
\item{exp_cor}{A multidimensional array with named dimensions containing the
seasonl forecast experiment to be corrected. If it is NULL, the 'exp'
forecast will be corrected.}
\item{na.rm}{A logical value indicating whether missing values should be
stripped before the computation proceeds, by default it is set to FALSE.}
\item{memb_dim}{A character string indicating the name of the member
dimension. By default, it is set to 'member'.}
\item{sdate_dim}{A character string indicating the name of the start date
dimension. By default, it is set to 'sdate'.}
\item{ncores}{An integer that indicates the number of cores for parallel
computations using multiApply function. The default value is NULL.}
An array containing the bias corrected forecasts with the same
dimensions of the experimental data.
This function applies the simple bias adjustment technique
described in Torralba et al. (2017). The adjusted forecasts have an equivalent
standard deviation and mean to that of the reference dataset.
}
\examples{
# Example
# Creation of sample s2dverification objects. These are not complete
# s2dverification objects though. The Load function returns complete objects.
mod1 <- 1 : (1 * 3 * 4 * 5 * 6 * 7)
dim(mod1) <- c(dataset = 1, member = 3, sdate = 4, ftime = 5, lat = 6, lon = 7)
obs1 <- 1 : (1 * 1 * 4 * 5 * 6 * 7)
dim(obs1) <- c(dataset = 1, member = 1, sdate = 4, ftime = 5, lat = 6, lon = 7)
a <- BiasCorrection(exp = mod1, obs = obs1)
str(a)
}
\references{
Torralba, V., F.J. Doblas-Reyes, D. MacLeod, I. Christel and M.
Davis (2017). Seasonal climate prediction: a new source of information for the
management of wind energy resources. Journal of Applied Meteorology and
Climatology, 56, 1231-1247, doi:10.1175/JAMC-D-16-0204.1. (CLIM4ENERGY,
EUPORIAS, NEWA, RESILIENCE, SPECS)