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Dorchies David authored
Refs #111
dd7ef429
RunModel_GR2M <- function(InputsModel, RunOptions, Param) {
.ArgumentsCheckGR(InputsModel, RunOptions, Param)
Param <- as.double(Param)
Param_X1X2_threshold <- 1e-2
if (Param[1L] < Param_X1X2_threshold) {
warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X2_threshold, Param_X1X2_threshold))
Param[1L] <- Param_X1X2_threshold
}
if (Param[2L] < Param_X1X2_threshold) {
warning(sprintf("Param[2] (X2: routing store capacity [mm]) < %.2f\n X2 set to %.2f", Param_X1X2_threshold, Param_X1X2_threshold))
Param[2L] <- Param_X1X2_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))
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputs <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputs <- which(RunOptions$FortranOutputs$GR %in% RunOptions$Outputs_Sim)
}
## Output data preparation
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim
## Use of IniResLevels
if (!is.null(RunOptions$IniResLevels)) {
RunOptions$IniStates[1] <- RunOptions$IniResLevels[1] * Param[1] ### production store level (mm)
RunOptions$IniStates[2] <- RunOptions$IniResLevels[2] * Param[2] ### routing store level (mm)
}
## Call GR model Fortan
RESULTS <- .Fortran("frun_gr2m", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/month]
InputsPE = InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/month]
NParam = as.integer(length(Param)), ### number of model parameter
Param = Param, ### parameter set
NStates = as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising
StateStart = RunOptions$IniStates, ### state variables used when the model run starts
NOutputs = as.integer(length(IndOutputs)), ### number of output series
IndOutputs = IndOutputs, ### indices of output series
## outputs
Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm or mm/month]
StateEnd = rep(as.double(-99e9), length(RunOptions$IniStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
if (ExportStateEnd) {
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR2M, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = NULL,
UH2 = NULL,
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE)
}
## Output data preparation
## OutputsModel generation
.GetOutputsModelGR(InputsModel,
RunOptions,
7172737475
RESULTS,
LInputSeries,
Param)
}