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RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) { ## Initialization of variables IsHyst <- inherits(RunOptions, "hysteresis") NParamCN <- RunOptions$FeatFUN_MOD$NbParam - 4L NStates <- 4L .ArgumentsCheckGR(InputsModel, RunOptions, Param) 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$IniStates) - NStates * NLayers) ## Output data preparation ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim ## CemaNeige________________________________________________________________________________ if (inherits(RunOptions, "CemaNeige")) { if ("all" %in% RunOptions$Outputs_Sim) { IndOutputsCemaNeige <- as.integer(1:length(RunOptions$FortranOutputs$CN)) } else { IndOutputsCemaNeige <- which(RunOptions$FortranOutputs$CN %in% RunOptions$Outputs_Sim) } CemaNeigeLayers <- list() CemaNeigeStateEnd <- NULL NameCemaNeigeLayers <- "CemaNeigeLayers" ## Call CemaNeige Fortran_________________________ for (iLayer in 1:NLayers) { if (!IsHyst) { StateStartCemaNeige <- RunOptions$IniStates[(7 + 20 + 40) + c(iLayer, iLayer+NLayers)] } else { StateStartCemaNeige <- RunOptions$IniStates[(7 + 20 + 40) + c(iLayer, iLayer+NLayers, iLayer+2*NLayers, iLayer+3*NLayers)] } RESULTS <- .Fortran("frun_cemaneige", PACKAGE = "airGR", ## inputs LInputs = LInputSeries, ### length of input and output series InputsPrecip = InputsModel$LayerPrecip[[iLayer]][IndPeriod1], ### input series of total precipitation [mm/d]7172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140
InputsFracSolidPrecip = InputsModel$LayerFracSolidPrecip[[iLayer]][IndPeriod1], ### input series of fraction of solid precipitation [0-1]
InputsTemp = InputsModel$LayerTemp[[iLayer]][IndPeriod1], ### input series of air mean temperature [degC]
MeanAnSolidPrecip = RunOptions$MeanAnSolidPrecip[iLayer], ### value of annual mean solid precip [mm/y]
NParam = as.integer(NParamCN), ### number of model parameters = 2 or 4
Param = as.double(ParamCemaNeige), ### parameter set
NStates = as.integer(NStates), ### number of state variables used for model initialising = 4
StateStart = StateStartCemaNeige, ### state variables used when the model run starts
IsHyst = as.integer(IsHyst), ### use of hysteresis
NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs = IndOutputsCemaNeige, ### indices of output series
## outputs
Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/d or degC]
StateEnd = rep(as.double(-99e9), as.integer(NStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(CemaNeigeLayers[[iLayer]]) <- RunOptions$FortranOutputs$CN[IndOutputsCemaNeige]
IndPliqAndMelt <- which(names(CemaNeigeLayers[[iLayer]]) == "PliqAndMelt")
if (iLayer == 1) {
CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers
}
if (iLayer > 1) {
CatchMeltAndPliq <- CatchMeltAndPliq + RESULTS$Outputs[, IndPliqAndMelt] / NLayers
}
if (ExportStateEnd) {
CemaNeigeStateEnd <- c(CemaNeigeStateEnd, RESULTS$StateEnd)
}
rm(RESULTS)
} ### ENDFOR iLayer
names(CemaNeigeLayers) <- sprintf("Layer%02i", seq_len(NLayers))
} ### ENDIF RunSnowModule
if (!inherits(RunOptions, "CemaNeige")) {
CemaNeigeLayers <- list()
CemaNeigeStateEnd <- NULL
NameCemaNeigeLayers <- NULL
CatchMeltAndPliq <- InputsModel$Precip[IndPeriod1]
}
## GR model______________________________________________________________________________________
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsMod <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputsMod <- which(RunOptions$FortranOutputs$GR %in% RunOptions$Outputs_Sim)
}
## Use of IniResLevels
if (!is.null(RunOptions$IniResLevels)) {
RunOptions$IniStates[1] <- RunOptions$IniResLevels[1] * ParamMod[1] ### production store level (mm)
RunOptions$IniStates[2] <- RunOptions$IniResLevels[2] * ParamMod[3] ### routing store level (mm)
}
## Call GR model Fortan
RESULTS <- .Fortran("frun_gr4j", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = CatchMeltAndPliq, ### input series of total precipitation [mm/d]
InputsPE = InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/d]
NParam = NParamMod, ### number of model parameter
Param = ParamMod, ### parameter set
NStates = NStatesMod, ### number of state variables used for model initialising
StateStart = RunOptions$IniStates[1:NStatesMod], ### state variables used when the model run starts
NOutputs = as.integer(length(IndOutputsMod)), ### number of output series
IndOutputs = IndOutputsMod, ### indices of output series
## outputs
Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/d]
141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172
StateEnd = rep(as.double(-99e9), NStatesMod) ### state variables at the end of the model run
)
RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
if (ExportStateEnd) {
RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
idNStates <- seq_len(NStates*NLayers) %% NStates
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_CemaNeigeGR4J, InputsModel = InputsModel, IsHyst = IsHyst,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = RESULTS$StateEnd[(1:20) + 7],
UH2 = RESULTS$StateEnd[(1:40) + (7+20)],
GCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 1]],
eTGCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 2]],
GthrCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 3]],
GlocmaxCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 0]],
verbose = FALSE)
}
if (inherits(RunOptions, "CemaNeige") & "Precip" %in% RunOptions$Outputs_Sim) {
RESULTS$Outputs[, which(RunOptions$FortranOutputs$GR[IndOutputsMod] == "Precip")] <-
InputsModel$Precip[IndPeriod1]
}
## OutputsModel generation
.GetOutputsModelGR(InputsModel,
RunOptions,
RESULTS,
LInputSeries,
Param,
CemaNeigeLayers)
}