An error occurred while loading the file. Please try again.
-
Delaigue Olivier authored
Refs #14
b1db2ae8
RunModel_GR6J <- function(InputsModel, RunOptions, Param) { ## Initialization of variables NParam <- 6 FortranOutputs <- .FortranOutputs(GR = "GR6J")$GR ## Arguments_check if (inherits(InputsModel, "InputsModel") == FALSE) { stop("'InputsModel' must be of class 'InputsModel'") } if (inherits(InputsModel, "daily" ) == FALSE) { stop("'InputsModel' must be of class 'daily' ") } if (inherits(InputsModel, "GR" ) == FALSE) { stop("'InputsModel' must be of class 'GR' ") } if (inherits(RunOptions, "RunOptions" ) == FALSE) { stop("'RunOptions' must be of class 'RunOptions' ") } if (inherits(RunOptions, "GR" ) == FALSE) { stop("'RunOptions' must be of class 'GR' ") } if (!is.vector(Param) | !is.numeric(Param)) { stop("'Param' must be a numeric vector") } if (sum(!is.na(Param)) != NParam) { stop(paste("'Param' must be a vector of length ", NParam, " and contain no NA", sep = "")) } Param <- as.double(Param) Param_X1X3X6_threshold <- 1e-2 Param_X4_threshold <- 0.5 if (Param[1L] < Param_X1X3X6_threshold) { warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X3X6_threshold, Param_X1X3X6_threshold)) Param[1L] <- Param_X1X3X6_threshold } if (Param[3L] < Param_X1X3X6_threshold) { warning(sprintf("Param[3] (X3: routing store capacity [mm]) < %.2f\n X3 set to %.2f", Param_X1X3X6_threshold, Param_X1X3X6_threshold)) Param[3L] <- Param_X1X3X6_threshold } if (Param[4L] < Param_X4_threshold) { warning(sprintf("Param[4] (X4: unit hydrograph time constant [d]) < %.2f\n X4 set to %.2f", Param_X4_threshold, Param_X4_threshold)) Param[4L] <- Param_X4_threshold } if (Param[6L] < Param_X1X3X6_threshold) { warning(sprintf("Param[6] (X6: coefficient for emptying exponential store [mm]) < %.2f\n X6 set to %.2f", Param_X1X3X6_threshold, Param_X1X3X6_threshold)) Param[6L] <- Param_X1X3X6_threshold } ## Input_data_preparation if (identical(RunOptions$IndPeriod_WarmUp, as.integer(0))) { 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(FortranOutputs)) } else { IndOutputs <- which(FortranOutputs %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$IniResLevels)) {7172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135
RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1] ### production store level (mm)
RunOptions$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3] ### routing store level (mm)
RunOptions$IniStates[3] <- RunOptions$IniResLevels[3] ### exponential store level (mm)
}
## Call_fortan
RESULTS <- .Fortran("frun_gr6j", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d]
InputsPE = InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/d]
NParam = as.integer(length(Param)), ### number of model parameter
Param = Param, ### parameter set
NStates = as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising
StateStart = RunOptions$IniStates, ### state variables used when the model run starts
NOutputs = as.integer(length(IndOutputs)), ### number of output series
IndOutputs = IndOutputs, ### indices of output series
## outputs
Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm]
StateEnd = rep(as.double(-999.999), length(RunOptions$IniStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[ round(RESULTS$Outputs , 3) == (-999.999)] <- NA
RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == (-999.999)] <- NA
if (ExportStateEnd) {
RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR6J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = RESULTS$StateEnd[3L],
UH1 = RESULTS$StateEnd[(1:20)+7], UH2 = RESULTS$StateEnd[(1:40)+(7+20)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE)
}
## Output_data_preparation
## OutputsModel_only
if (ExportDatesR == FALSE & ExportStateEnd == FALSE) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(OutputsModel) <- FortranOutputs[IndOutputs]
}
## DatesR_and_OutputsModel_only
if (ExportDatesR == TRUE & ExportStateEnd == FALSE) {
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]) )
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs])
}
## OutputsModel_and_SateEnd_only
if (ExportDatesR == FALSE & ExportStateEnd == TRUE) {
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd) )
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd")
}
## DatesR_and_OutputsModel_and_SateEnd
if ((ExportDatesR == TRUE & ExportStateEnd == TRUE) | "all" %in% RunOptions$Outputs_Sim) {
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd) )
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs], "StateEnd")
}
## End
rm(RESULTS)
class(OutputsModel) <- c("OutputsModel", "daily", "GR")
return(OutputsModel)
}