#' Computes run time definition according to the time specifications
#'
#' This is a sub-routine of \code{\link{loadECOMS}}. Its output is passed to the loading functions
#' (the \code{makeSubset\\.*} and \code{derive*} interfaces).
#'
#' @param dataset Target hindcast dataset (see \code{\link{loadECOMS}})
#' @param grid A java \dQuote{GeoGrid} containing the target(leading) variable
#' @param members Member selection (see \code{\link{loadECOMS}})
#' @param season Season selection (see \code{\link{loadECOMS}})
#' @param years Years selected (see \code{\link{loadECOMS}})
#' @param leadMonth Lead month (see \code{\link{loadECOMS}})
#' @return A list of parameters:
#' \itemize{
#' \item validMonth An integer in the range [1,12] indicating the month to take the initialization
#' \item years A vector of years selected
#' \item season Season
#' \item year.cross An auxiliary integer value thet indicates the position of year-crossing
#' within the season vector. NULL if no year-crossing season has been chosen.
#' \item runDates a POSIXlt vector of initialization dates
#' \item runTimeRanges a list of of initialization times of the java class \dQuote{ucar.ma2.ranges}.
#' }
#' @details The function calls to specific subroutines for CFS or System4 requests, given their different
#' runtime configurations. The function also takes care of selecting the appropriate initialization
#' in the case of year-crossing seasons
#' @author J Bedia
#' @keywords internal
getRunTimeDomain.ECOMS <- function(dataset, grid, members, season, years, leadMonth) {
message("[", Sys.time(), "] Defining initialization time parameters")
gcs <- grid$getCoordinateSystem()
if (is.null(season)) {
season <- unique(javaCalendarDate2rPOSIXlt(gcs$getTimeAxisForRun(0L)$getCalendarDates())$mon + 1)
}
rt.axis <- gcs$getRunTimeAxis()
if (!is.null(rt.axis)) {
runDatesAll <- javaCalendarDate2rPOSIXlt(rt.axis$getCalendarDates())
startDay <- javaCalendarDate2rPOSIXlt(rt.axis$getCalendarDateRange()$getStart())
endDay <- javaCalendarDate2rPOSIXlt(rt.axis$getCalendarDateRange()$getEnd())
startYear <- startDay$year + 1900
endYear <- endDay$year + 1900
## Used to get 2010 data until March
if (grepl("CFSv2_seasonal$", dataset)) {
if (tail(season, 1) < 4) {
endYear <- endYear + 1
}
}
allYears <- startYear:endYear
if (is.null(years)) {
if (grepl("CFSv2_seasonal_operative", dataset)) {
years <- 2015:as.numeric(format(Sys.time(), "%Y"))
} else if (grepl("CFSv2", dataset)) {
if (tail(season, 1) < 4) { ## Used to get 2010 data until March
years <- 1983:2010
} else {
years <- 1983:2009
}
} else {
years <- allYears
}
}
if (grepl("CFSv2", dataset)) {
if (grepl("CFSv2_seasonal_operative", dataset)) {
aux <- intersect(years, 2015:(1+as.numeric(format(Sys.time(),"%Y"))))
if (length(aux) > 1) {
stop("Multiple year requests are not allowed for CFSv2 operative forecasts", call. = FALSE)
}
if (length(aux) < 1) {
stop('Requested year not available', call. = FALSE)
}
} else {
aux <- intersect(years, allYears)
if (!identical(as.integer(aux), as.integer(years))) {
warning("Available years in dataset: ", paste(startYear, endYear, sep = "-"), "\nSome years were removed")
}
}
years <- aux
aux <- NULL
}
if (years[1] < startYear & years[length(years)] > endYear) {
warning("Year selection out of dataset range. Only available years will be returned")
years <- allYears
}
if (years[1] < startYear) {
warning("First year in dataset: ", startYear,". Only available years will be returned")
years <- startYear:years[length(years)]
}
if (years[length(years)] > endYear) {
warning("Last initialization in the dataset in year: ", endYear,". Only available years will be returned")
years <- years[which(years <= endYear + 1)]
}
} else { ## STATIC variables
runDatesAll <- NULL
}
# Month to take the initialization
validMonth <- season[1] - leadMonth
if ((season[1] - leadMonth) < 1) {
validMonth <- validMonth + 12
years <- years - 1
}
# Year-crossing seasons - year to take the initialization
if (!identical(season, sort(season))) {
year.cross.ind <- which(diff(season) < 0) # indicates the position of year-crossing within season
if (years[1] == startYear) {
warning(paste0("First forecast date in dataset: ", startDay, ".\nRequested seasonal data for ", startYear," not available"))
years <- years[-length(years)]
} else {
years <- years - 1
}
} else {
year.cross.ind <- NULL
}
# runtime parameters depending on model
rtPars <- if (grepl("CFSv2", dataset)) {
getRunTimeDomain.CFS(runDatesAll, validMonth, members, years, dataset)
} else if (grepl("^System4|SMHI-EC-EARTH_EUPORIAS", dataset)) {
getRunTimeDomain.S4(runDatesAll, validMonth, years)
} else if (grepl("^Glosea5", dataset)) {
getRunTimeDomain.GS5(dataset, season, leadMonth, runDatesAll, validMonth, members, years)
}
return(list("validMonth" = validMonth,
"years" = years,
"season" = season,
"year.cross" = year.cross.ind,
"memberRangeList" = rtPars$memberRangeList,
"runDates" = rtPars$runDates,
"runTimeRanges" = rtPars$runTimeRanges))
}
# End
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