#' @section Deaccumulation:
#'
#' In case of variables that are deaccumulated (e.g. precipitation amount and radiations in System4 models),
#' it must be noted that the original forecast dates correspond to the start of each verification step.
#' Thus, the first value is always zero, and then it starts accumulating. The deaccumulation routine computes a
#' lagged difference between forecast dates (R function \code{\link{diff}}) to provide the deaccumulated series.
#' Therefore, the first value is always lost. To avoid a systematic loss of the first day, when a deaccumulable
#' variable is requested the function internally loads the previous time step (e.g., \code{season = c(12,1,2)}
#' for daily precipitation, the forecast date 30-Nov is also loaded, being the first value of the series
#' -1st December- the difference between 1 december and 30 november in the model).
#' As a result, in \code{leadMonth = 0} requests, the first day of the series is lost,
#' because there is not a previous forecast time in the initialization to start deaccumulating.
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