#'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 startR (Subset, TrAnsform, ReTrieve, arrange and process large 
#'multidimensional data sets in R) that is an R project 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`.
#' 
#'@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)
}