% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/CST_BEI_Weighting.R
\name{BEI_TercilesWeighting}
\alias{BEI_TercilesWeighting}
\title{Computing the weighted terciles for SFSs.}
\usage{
BEI_TercilesWeighting(
  var_exp,
  aweights,
  time_dim_name = "time",
  memb_dim = "member"
)
}
\arguments{
\item{var_exp}{Variable (e.g. precipitation, temperature, NAO index)
array from a SFS with at least dimensions (time, member) for a spatially 
aggregated variable or dimensions (time, member, lat, lon) for a spatial 
variable, as 'time' the spatial dimension by default.}

\item{aweights}{Normalized weights array with at least dimensions 
(time, member), when 'time' is the temporal dimension as default.}

\item{time_dim_name}{A character string indicating the name of the 
temporal dimension, by default 'time'.}

\item{memb_dim}{A character string indicating the name of the 
member dimension, by default 'member'.}
}
\value{
BEI_TercilesWeighting() returns an array with at least one 
dimension depending if the variable is a spatially aggregated variable 
(as e.g. NAO index)(tercil) or it is spatial variable (as e.g. 
precipitation or temperature)(tercil, lat, lon), containing the 
terciles computing with weighted members.
The first tercil is the lower tercile, the second is the upper tercile.
}
\description{
This function implements the computation to obtain the terciles
for a weighted variable for SFSs using a normalized weights array,
}
\examples{
# Example 1 
var_exp <- 1 : (2 * 4)
dim(var_exp) <- c(time = 2, member = 4)
aweights<- c(0.2, 0.1, 0.3, 0.4, 0.1, 0.2, 0.4, 0.3)
dim(aweights) <- c(time = 2, member = 4)
res <- BEI_TercilesWeighting(var_exp, aweights)

# Example 2 
var_exp <- rnorm(48, 50, 9)
dim(var_exp) <- c(time = 2, member = 4, lat = 2, lon = 3)
aweights<- c(0.2, 0.1, 0.3, 0.4, 0.1, 0.2, 0.4, 0.3)
dim(aweights) <- c(time = 2, member = 4)
res <- BEI_TercilesWeighting(var_exp, aweights)
}
\references{
Regionally improved seasonal forecast of precipitation through Best
estimation of winter NAO, Sanchez-Garcia, E. et al.,
Adv. Sci. Res., 16, 165174, 2019, https://doi.org/10.5194/asr-16-165-2019
}
\author{
Eroteida Sanchez-Garcia - AEMET, \email{esanchezg@aemet.es}
}
