RunModel_CemaNeigeGR4J.R

RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
  
  
  ## Initialization of variables
  IsHyst <- inherits(RunOptions, "hysteresis")
  NParam <- ifelse(test = IsHyst, yes = 8L, no = 6L)
  NParamCN <- NParam - 4L
  NStates <- 4L
  FortranOutputs <- .FortranOutputs(GR = "GR4J", isCN = TRUE)
  
  
  ## Arguments check
  if (!inherits(InputsModel, "InputsModel")) {
    stop("'InputsModel' must be of class 'InputsModel'")
  }
  if (!inherits(InputsModel, "daily")) {
    stop("'InputsModel' must be of class 'daily'")
  }
  if (!inherits(InputsModel, "GR")) {
    stop("'InputsModel' must be of class 'GR'")
  }
  if (!inherits(InputsModel, "CemaNeige")) {
    stop("'InputsModel' must be of class 'CemaNeige'")
  }
  if (!inherits(RunOptions, "RunOptions")) {
    stop("'RunOptions' must be of class 'RunOptions'")
  }
  if (!inherits(RunOptions, "GR")) {
    stop("'RunOptions' must be of class 'GR'")
  }
  if (!inherits(RunOptions, "CemaNeige")) {
    stop("'RunOptions' must be of class 'CemaNeige'")
  }
  if (!is.vector(Param) | !is.numeric(Param)) {
    stop("'Param' must be a numeric vector")
  }
  if (sum(!is.na(Param)) != NParam) {
    stop(paste("'Param' must be a vector of length", NParam, "and contain no NA"))
  }
  Param <- as.double(Param)
  
  Param_X1X3_threshold <- 1e-2
  Param_X4_threshold   <- 0.5
  if (Param[1L] < Param_X1X3_threshold) {
    warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X3_threshold, Param_X1X3_threshold))
    Param[1L] <- Param_X1X3_threshold
  }
  if (Param[3L] < Param_X1X3_threshold) {
    warning(sprintf("Param[3] (X3: routing store capacity [mm]) < %.2f\n X3 set to %.2f", Param_X1X3_threshold, Param_X1X3_threshold))
    Param[3L] <- Param_X1X3_threshold
  }
  if (Param[4L] < Param_X4_threshold) {
    warning(sprintf("Param[4] (X4: unit hydrograph time constant [d]) < %.2f\n X4 set to %.2f", Param_X4_threshold, Param_X4_threshold))
    Param[4L] <- Param_X4_threshold
  }      
  
  ## Input data preparation
  if (identical(RunOptions$IndPeriod_WarmUp, 0L)) {
    RunOptions$IndPeriod_WarmUp <- NULL
  }
  IndPeriod1     <- c(RunOptions$IndPeriod_WarmUp, RunOptions$IndPeriod_Run)
  LInputSeries   <- as.integer(length(IndPeriod1))
  IndPeriod2     <- (length(RunOptions$IndPeriod_WarmUp) + 1):LInputSeries
  ParamCemaNeige <- Param[(length(Param)- 1 - 2 * as.integer(IsHyst)):length(Param)]
  NParamMod      <- as.integer(length(Param) - (2 + 2*as.integer(IsHyst)))
  ParamMod       <- Param[1:NParamMod]
  NLayers        <- length(InputsModel$LayerPrecip)
  NStatesMod     <- as.integer(length(RunOptions$IniStates) - NStates * NLayers)
  ExportDatesR   <- "DatesR"   %in% RunOptions$Outputs_Sim
  ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim