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#'CSTools data retrieval function using Start
#'
#'This function aggregates, subsets and retrieves sub-seasonal, seasonal,
#'decadal or climate projection data from NetCDF files in a local file system
#'and arranges it for easy application of the CSTools functions. It calls the
#'function \code{Start} from startR, which is an R package started at BSC with
#'the aim to develop a tool that allows the user to automatically process large
#'multidimensional distributed data sets. Then, the output is transformed into
#'`s2dv_cube` object.
#'
#'It receives any number of parameters (`...`) that are automatically forwarded
#'to the `startR::Start` function. See details in `?startR::Start`. The
#'auxiliary functions used to define dimensions need to be called within the
#'startR namespace (e.g. startR::indices(), startR::values(), startR::Sort(),
#'startR::CircularSort(), startR::CDORemapper(), ...).
#'
#'@param ... Parameters that are automatically forwarded to the `startR::Start`
#' function. See details in `?startR::Start`.
#'@examples
#'\dontrun{
#' sdates <- c('20101101', '20111101', '20121101')
#' latmin <- 44
#' latmax <- 47
#' lonmin <- 6
#' lonmax <- 9
#' data <- CST_Start(dat = path,
#' var = 'prlr',
#' ensemble = indices(1:6),
#' sdate = sdates,
#' time = 121:151,
#' latitude = values(list(latmin, latmax)),
#' longitude = values(list(lonmin, lonmax)),
#' synonims = list(longitude = c('lon', 'longitude'),
#' latitude = c('lat', 'latitude')),
#' return_vars = list(time = 'sdate',
#' longitude = NULL, latitude = NULL),
#' retrieve = FALSE)
#'}
#'\dontshow{
#' exp <- CSTools::lonlat_temp_st$exp
#' obs <- CSTools::lonlat_temp_st$obs
#' data <- CSTools::lonlat_prec
#'}
#'@import startR
#'@export
CST_Start <- function(...) {
res <- Start(...)
res <- as.s2dv_cube(res)
return(res)
}
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