Commit 0ada9d71 authored by Dorchies David's avatar Dorchies David
Browse files

feat: use .GetOutputsModel for all RunModel functions

+ bug correction on DatesR item of .GetOutputsModel

Refs #129
parent 329591eb
Pipeline #24003 failed with stages
in 32 minutes and 21 seconds
...@@ -6,7 +6,6 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) { ...@@ -6,7 +6,6 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
NParam <- ifelse(test = IsHyst, yes = 8L, no = 6L) NParam <- ifelse(test = IsHyst, yes = 8L, no = 6L)
NParamCN <- NParam - 4L NParamCN <- NParam - 4L
NStates <- 4L NStates <- 4L
FortranOutputs <- .FortranOutputs(GR = "GR4H", isCN = TRUE)
## Arguments check ## Arguments check
...@@ -76,9 +75,9 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) { ...@@ -76,9 +75,9 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
## CemaNeige________________________________________________________________________________ ## CemaNeige________________________________________________________________________________
if (inherits(RunOptions, "CemaNeige")) { if (inherits(RunOptions, "CemaNeige")) {
if ("all" %in% RunOptions$Outputs_Sim) { if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsCemaNeige <- as.integer(1:length(FortranOutputs$CN)) IndOutputsCemaNeige <- as.integer(1:length(RunOptions$FortranOutputs$CN))
} else { } else {
IndOutputsCemaNeige <- which(FortranOutputs$CN %in% RunOptions$Outputs_Sim) IndOutputsCemaNeige <- which(RunOptions$FortranOutputs$CN %in% RunOptions$Outputs_Sim)
} }
CemaNeigeLayers <- list() CemaNeigeLayers <- list()
CemaNeigeStateEnd <- NULL CemaNeigeStateEnd <- NULL
...@@ -116,7 +115,7 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) { ...@@ -116,7 +115,7 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
## Data storage ## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]) CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(CemaNeigeLayers[[iLayer]]) <- FortranOutputs$CN[IndOutputsCemaNeige] names(CemaNeigeLayers[[iLayer]]) <- RunOptions$FortranOutputs$CN[IndOutputsCemaNeige]
IndPliqAndMelt <- which(names(CemaNeigeLayers[[iLayer]]) == "PliqAndMelt") IndPliqAndMelt <- which(names(CemaNeigeLayers[[iLayer]]) == "PliqAndMelt")
if (iLayer == 1) { if (iLayer == 1) {
CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers
...@@ -142,9 +141,9 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) { ...@@ -142,9 +141,9 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
## GR model ## GR model
if ("all" %in% RunOptions$Outputs_Sim) { if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsMod <- as.integer(1:length(FortranOutputs$GR)) IndOutputsMod <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else { } else {
IndOutputsMod <- which(FortranOutputs$GR %in% RunOptions$Outputs_Sim) IndOutputsMod <- which(RunOptions$FortranOutputs$GR %in% RunOptions$Outputs_Sim)
} }
## Use of IniResLevels ## Use of IniResLevels
...@@ -186,45 +185,14 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) { ...@@ -186,45 +185,14 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
} }
if (inherits(RunOptions, "CemaNeige") & "Precip" %in% RunOptions$Outputs_Sim) { if (inherits(RunOptions, "CemaNeige") & "Precip" %in% RunOptions$Outputs_Sim) {
RESULTS$Outputs[, which(FortranOutputs$GR[IndOutputsMod] == "Precip")] <- InputsModel$Precip[IndPeriod1] RESULTS$Outputs[, which(RunOptions$FortranOutputs$GR[IndOutputsMod] == "Precip")] <-
InputsModel$Precip[IndPeriod1]
} }
## Output data preparation ## OutputsModel generation
## OutputsModel only .GetOutputsModel(InputsModel,
if (!ExportDatesR & !ExportStateEnd) { RunOptions,
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]), RESULTS,
list(CemaNeigeLayers)) LInputSeries,
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers) CemaNeigeLayers)
}
## DatesR and OutputsModel only
if (ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(CemaNeigeLayers))
names(OutputsModel) <- c("DatesR", FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers)
}
## OutputsModel and StateEnd only
if (!ExportDatesR & ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(CemaNeigeLayers),
list(RESULTS$StateEnd))
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers, "StateEnd")
}
## DatesR and OutputsModel and StateEnd
if (ExportDatesR & ExportStateEnd) {
OutputsModel <- c(list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(CemaNeigeLayers),
list(RESULTS$StateEnd))
names(OutputsModel) <- c("DatesR", FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers, "StateEnd")
}
## End
rm(RESULTS)
class(OutputsModel) <- c("OutputsModel", "hourly", "GR", "CemaNeige")
if (IsHyst) {
class(OutputsModel) <- c(class(OutputsModel), "hysteresis")
}
return(OutputsModel)
} }
RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) { RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
## Initialization of variables ## Initialization of variables
IsHyst <- inherits(RunOptions, "hysteresis") IsHyst <- inherits(RunOptions, "hysteresis")
NParam <- ifelse(test = IsHyst, yes = 8L, no = 6L) NParam <- ifelse(test = IsHyst, yes = 8L, no = 6L)
NParamCN <- NParam - 4L NParamCN <- NParam - 4L
NStates <- 4L NStates <- 4L
FortranOutputs <- .FortranOutputs(GR = "GR4J", isCN = TRUE)
## Arguments check ## Arguments check
if (!inherits(InputsModel, "InputsModel")) { if (!inherits(InputsModel, "InputsModel")) {
stop("'InputsModel' must be of class 'InputsModel'") stop("'InputsModel' must be of class 'InputsModel'")
...@@ -38,7 +37,7 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) { ...@@ -38,7 +37,7 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
stop(paste("'Param' must be a vector of length", NParam, "and contain no NA")) stop(paste("'Param' must be a vector of length", NParam, "and contain no NA"))
} }
Param <- as.double(Param) Param <- as.double(Param)
Param_X1X3_threshold <- 1e-2 Param_X1X3_threshold <- 1e-2
Param_X4_threshold <- 0.5 Param_X4_threshold <- 0.5
...@@ -53,8 +52,8 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) { ...@@ -53,8 +52,8 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
if (Param[4L] < Param_X4_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)) 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 Param[4L] <- Param_X4_threshold
} }
## Input data preparation ## Input data preparation
if (identical(RunOptions$IndPeriod_WarmUp, 0L)) { if (identical(RunOptions$IndPeriod_WarmUp, 0L)) {
RunOptions$IndPeriod_WarmUp <- NULL RunOptions$IndPeriod_WarmUp <- NULL
...@@ -71,20 +70,20 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) { ...@@ -71,20 +70,20 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
## Output data preparation ## Output data preparation
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim
## CemaNeige________________________________________________________________________________ ## CemaNeige________________________________________________________________________________
if (inherits(RunOptions, "CemaNeige")) { if (inherits(RunOptions, "CemaNeige")) {
if ("all" %in% RunOptions$Outputs_Sim) { if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsCemaNeige <- as.integer(1:length(FortranOutputs$CN)) IndOutputsCemaNeige <- as.integer(1:length(RunOptions$FortranOutputs$CN))
} else { } else {
IndOutputsCemaNeige <- which(FortranOutputs$CN %in% RunOptions$Outputs_Sim) IndOutputsCemaNeige <- which(RunOptions$FortranOutputs$CN %in% RunOptions$Outputs_Sim)
} }
CemaNeigeLayers <- list() CemaNeigeLayers <- list()
CemaNeigeStateEnd <- NULL CemaNeigeStateEnd <- NULL
NameCemaNeigeLayers <- "CemaNeigeLayers" NameCemaNeigeLayers <- "CemaNeigeLayers"
## Call CemaNeige Fortran_________________________ ## Call CemaNeige Fortran_________________________
for(iLayer in 1:NLayers) { for(iLayer in 1:NLayers) {
if (!IsHyst) { if (!IsHyst) {
...@@ -92,7 +91,7 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) { ...@@ -92,7 +91,7 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
} else { } else {
StateStartCemaNeige <- RunOptions$IniStates[(7 + 20 + 40) + c(iLayer, iLayer+NLayers, iLayer+2*NLayers, iLayer+3*NLayers)] StateStartCemaNeige <- RunOptions$IniStates[(7 + 20 + 40) + c(iLayer, iLayer+NLayers, iLayer+2*NLayers, iLayer+3*NLayers)]
} }
RESULTS <- .Fortran("frun_cemaneige", PACKAGE = "airGR", RESULTS <- .Fortran("frun_cemaneige", PACKAGE = "airGR",
## inputs ## inputs
LInputs = LInputSeries, ### length of input and output series LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$LayerPrecip[[iLayer]][IndPeriod1], ### input series of total precipitation [mm/d] InputsPrecip = InputsModel$LayerPrecip[[iLayer]][IndPeriod1], ### input series of total precipitation [mm/d]
...@@ -106,16 +105,16 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) { ...@@ -106,16 +105,16 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
IsHyst = as.integer(IsHyst), ### use of hysteresis IsHyst = as.integer(IsHyst), ### use of hysteresis
NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs = IndOutputsCemaNeige, ### indices of output series IndOutputs = IndOutputsCemaNeige, ### indices of output series
## outputs ## outputs
Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/d or degC] 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 StateEnd = rep(as.double(-99e9), as.integer(NStates)) ### state variables at the end of the model run
) )
RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
## Data storage ## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]) CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(CemaNeigeLayers[[iLayer]]) <- FortranOutputs$CN[IndOutputsCemaNeige] names(CemaNeigeLayers[[iLayer]]) <- RunOptions$FortranOutputs$CN[IndOutputsCemaNeige]
IndPliqAndMelt <- which(names(CemaNeigeLayers[[iLayer]]) == "PliqAndMelt") IndPliqAndMelt <- which(names(CemaNeigeLayers[[iLayer]]) == "PliqAndMelt")
if (iLayer == 1) { if (iLayer == 1) {
CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers
...@@ -136,24 +135,24 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) { ...@@ -136,24 +135,24 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
NameCemaNeigeLayers <- NULL NameCemaNeigeLayers <- NULL
CatchMeltAndPliq <- InputsModel$Precip[IndPeriod1] CatchMeltAndPliq <- InputsModel$Precip[IndPeriod1]
} }
## GR model______________________________________________________________________________________ ## GR model______________________________________________________________________________________
if ("all" %in% RunOptions$Outputs_Sim) { if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsMod <- as.integer(1:length(FortranOutputs$GR)) IndOutputsMod <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else { } else {
IndOutputsMod <- which(FortranOutputs$GR %in% RunOptions$Outputs_Sim) IndOutputsMod <- which(RunOptions$FortranOutputs$GR %in% RunOptions$Outputs_Sim)
} }
## Use of IniResLevels ## Use of IniResLevels
if (!is.null(RunOptions$IniResLevels)) { if (!is.null(RunOptions$IniResLevels)) {
RunOptions$IniStates[1] <- RunOptions$IniResLevels[1] * ParamMod[1] ### production store level (mm) RunOptions$IniStates[1] <- RunOptions$IniResLevels[1] * ParamMod[1] ### production store level (mm)
RunOptions$IniStates[2] <- RunOptions$IniResLevels[2] * ParamMod[3] ### routing store level (mm) RunOptions$IniStates[2] <- RunOptions$IniResLevels[2] * ParamMod[3] ### routing store level (mm)
} }
## Call GR model Fortan ## Call GR model Fortan
RESULTS <- .Fortran("frun_gr4j", PACKAGE = "airGR", RESULTS <- .Fortran("frun_gr4j", PACKAGE = "airGR",
## inputs ## inputs
LInputs = LInputSeries, ### length of input and output series LInputs = LInputSeries, ### length of input and output series
InputsPrecip = CatchMeltAndPliq, ### input series of total precipitation [mm/d] InputsPrecip = CatchMeltAndPliq, ### input series of total precipitation [mm/d]
...@@ -164,7 +163,7 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) { ...@@ -164,7 +163,7 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
StateStart = RunOptions$IniStates[1:NStatesMod], ### state variables used when the model run starts StateStart = RunOptions$IniStates[1:NStatesMod], ### state variables used when the model run starts
NOutputs = as.integer(length(IndOutputsMod)), ### number of output series NOutputs = as.integer(length(IndOutputsMod)), ### number of output series
IndOutputs = IndOutputsMod, ### indices of output series IndOutputs = IndOutputsMod, ### indices of output series
## outputs ## outputs
Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/d] Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/d]
StateEnd = rep(as.double(-99e9), NStatesMod) ### state variables at the end of the model run StateEnd = rep(as.double(-99e9), NStatesMod) ### state variables at the end of the model run
) )
...@@ -173,57 +172,26 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) { ...@@ -173,57 +172,26 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
if (ExportStateEnd) { if (ExportStateEnd) {
RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
idNStates <- seq_len(NStates*NLayers) %% NStates idNStates <- seq_len(NStates*NLayers) %% NStates
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_CemaNeigeGR4J, InputsModel = InputsModel, IsHyst = IsHyst, RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_CemaNeigeGR4J, InputsModel = InputsModel, IsHyst = IsHyst,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL, ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = RESULTS$StateEnd[(1:20) + 7], UH1 = RESULTS$StateEnd[(1:20) + 7],
UH2 = RESULTS$StateEnd[(1:40) + (7+20)], UH2 = RESULTS$StateEnd[(1:40) + (7+20)],
GCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 1]], GCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 1]],
eTGCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 2]], eTGCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 2]],
GthrCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 3]], GthrCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 3]],
GlocmaxCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 0]], GlocmaxCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 0]],
verbose = FALSE) verbose = FALSE)
} }
if (inherits(RunOptions, "CemaNeige") & "Precip" %in% RunOptions$Outputs_Sim) { if (inherits(RunOptions, "CemaNeige") & "Precip" %in% RunOptions$Outputs_Sim) {
RESULTS$Outputs[, which(FortranOutputs$GR[IndOutputsMod] == "Precip")] <- InputsModel$Precip[IndPeriod1] RESULTS$Outputs[, which(RunOptions$FortranOutputs$GR[IndOutputsMod] == "Precip")] <-
InputsModel$Precip[IndPeriod1]
} }
## Output data preparation ## OutputsModel generation
## OutputsModel only .GetOutputsModel(InputsModel,
if (!ExportDatesR & !ExportStateEnd) { RunOptions,
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]), RESULTS,
list(CemaNeigeLayers)) LInputSeries,
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers) CemaNeigeLayers)
}
## DatesR and OutputsModel only
if (ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(CemaNeigeLayers))
names(OutputsModel) <- c("DatesR", FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers)
}
## OutputsModel and StateEnd only
if (!ExportDatesR & ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(CemaNeigeLayers),
list(RESULTS$StateEnd))
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers, "StateEnd")
}
## DatesR and OutputsModel and StateEnd
if (ExportDatesR & ExportStateEnd) {
OutputsModel <- c(list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(CemaNeigeLayers),
list(RESULTS$StateEnd))
names(OutputsModel) <- c("DatesR", FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers, "StateEnd")
}
## End
rm(RESULTS)
class(OutputsModel) <- c("OutputsModel", "daily", "GR", "CemaNeige")
if (IsHyst) {
class(OutputsModel) <- c(class(OutputsModel), "hysteresis")
}
return(OutputsModel)
} }
RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) { RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
## Initialization of variables ## Initialization of variables
IsHyst <- inherits(RunOptions, "hysteresis") IsHyst <- inherits(RunOptions, "hysteresis")
NParam <- ifelse(test = IsHyst, yes = 9L, no = 7L) NParam <- ifelse(test = IsHyst, yes = 9L, no = 7L)
NParamCN <- NParam - 5L NParamCN <- NParam - 5L
NStates <- 4L NStates <- 4L
FortranOutputs <- .FortranOutputs(GR = "GR5H", isCN = TRUE)
IsIntStore <- inherits(RunOptions, "interception") IsIntStore <- inherits(RunOptions, "interception")
if (IsIntStore) { if (IsIntStore) {
Imax <- RunOptions$Imax Imax <- RunOptions$Imax
} else { } else {
Imax <- -99 Imax <- -99
} }
## Arguments check ## Arguments check
if (!inherits(InputsModel, "InputsModel")) { if (!inherits(InputsModel, "InputsModel")) {
stop("'InputsModel' must be of class 'InputsModel'") stop("'InputsModel' must be of class 'InputsModel'")
...@@ -44,8 +43,8 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) { ...@@ -44,8 +43,8 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
stop(paste("'Param' must be a vector of length", NParam, "and contain no NA")) stop(paste("'Param' must be a vector of length", NParam, "and contain no NA"))
} }
Param <- as.double(Param) Param <- as.double(Param)
Param_X1X3_threshold <- 1e-2 Param_X1X3_threshold <- 1e-2
Param_X4_threshold <- 0.5 Param_X4_threshold <- 0.5
if (Param[1L] < Param_X1X3_threshold) { if (Param[1L] < Param_X1X3_threshold) {
...@@ -59,8 +58,8 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) { ...@@ -59,8 +58,8 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
if (Param[4L] < Param_X4_threshold) { if (Param[4L] < Param_X4_threshold) {
warning(sprintf("Param[4] (X4: unit hydrograph time constant [h]) < %.2f\n X4 set to %.2f", Param_X4_threshold, Param_X4_threshold)) warning(sprintf("Param[4] (X4: unit hydrograph time constant [h]) < %.2f\n X4 set to %.2f", Param_X4_threshold, Param_X4_threshold))
Param[4L] <- Param_X4_threshold Param[4L] <- Param_X4_threshold
} }
## Input data preparation ## Input data preparation
if (identical(RunOptions$IndPeriod_WarmUp, 0L)) { if (identical(RunOptions$IndPeriod_WarmUp, 0L)) {
RunOptions$IndPeriod_WarmUp <- NULL RunOptions$IndPeriod_WarmUp <- NULL
...@@ -73,24 +72,24 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) { ...@@ -73,24 +72,24 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
ParamMod <- Param[1:NParamMod] ParamMod <- Param[1:NParamMod]
NLayers <- length(InputsModel$LayerPrecip) NLayers <- length(InputsModel$LayerPrecip)
NStatesMod <- as.integer(length(RunOptions$IniStates) - NStates * NLayers) NStatesMod <- as.integer(length(RunOptions$IniStates) - NStates * NLayers)
## Output data preparation ## Output data preparation
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim
## CemaNeige________________________________________________________________________________ ## CemaNeige________________________________________________________________________________
if (inherits(RunOptions, "CemaNeige")) { if (inherits(RunOptions, "CemaNeige")) {
if ("all" %in% RunOptions$Outputs_Sim) { if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsCemaNeige <- as.integer(1:length(FortranOutputs$CN)) IndOutputsCemaNeige <- as.integer(1:length(RunOptions$FortranOutputs$CN))
} else { } else {
IndOutputsCemaNeige <- which(FortranOutputs$CN %in% RunOptions$Outputs_Sim) IndOutputsCemaNeige <- which(RunOptions$FortranOutputs$CN %in% RunOptions$Outputs_Sim)
} }
CemaNeigeLayers <- list() CemaNeigeLayers <- list()
CemaNeigeStateEnd <- NULL CemaNeigeStateEnd <- NULL
NameCemaNeigeLayers <- "CemaNeigeLayers" NameCemaNeigeLayers <- "CemaNeigeLayers"
## Call CemaNeige Fortran_________________________ ## Call CemaNeige Fortran_________________________
for (iLayer in 1:NLayers) { for (iLayer in 1:NLayers) {
...@@ -113,16 +112,16 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) { ...@@ -113,16 +112,16 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
IsHyst = as.integer(IsHyst), ### use of hysteresis IsHyst = as.integer(IsHyst), ### use of hysteresis
NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs = IndOutputsCemaNeige, ### indices of output series IndOutputs = IndOutputsCemaNeige, ### indices of output series
## outputs ## outputs
Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/h or degC] Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/h or degC]
StateEnd = rep(as.double(-99e9), as.integer(NStates)) ### state variables at the end of the model run StateEnd = rep(as.double(-99e9), as.integer(NStates)) ### state variables at the end of the model run
) )
RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
## Data storage ## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]) CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(CemaNeigeLayers[[iLayer]]) <- FortranOutputs$CN[IndOutputsCemaNeige] names(CemaNeigeLayers[[iLayer]]) <- RunOptions$FortranOutputs$CN[IndOutputsCemaNeige]
IndPliqAndMelt <- which(names(CemaNeigeLayers[[iLayer]]) == "PliqAndMelt") IndPliqAndMelt <- which(names(CemaNeigeLayers[[iLayer]]) == "PliqAndMelt")
if (iLayer == 1) { if (iLayer == 1) {
CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers
...@@ -148,9 +147,9 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) { ...@@ -148,9 +147,9 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
## GR model ## GR model
if ("all" %in% RunOptions$Outputs_Sim) { if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsMod <- as.integer(1:length(FortranOutputs$GR)) IndOutputsMod <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else { } else {
IndOutputsMod <- which(FortranOutputs$GR %in% RunOptions$Outputs_Sim) IndOutputsMod <- which(RunOptions$FortranOutputs$GR %in% RunOptions$Outputs_Sim)
} }
## Use of IniResLevels ## Use of IniResLevels
...@@ -191,54 +190,20 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) { ...@@ -191,54 +190,20 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
UH2 = RESULTS$StateEnd[(1:(40*24)) + (7+20*24)], UH2 = RESULTS$StateEnd[(1:(40*24)) + (7+20*24)],
GCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 1]], GCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 1]],
eTGCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 2]], eTGCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 2]],
GthrCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 3]], GthrCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 3]],
GlocmaxCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 0]], GlocmaxCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 0]],
verbose = FALSE) verbose = FALSE)
} }
if (inherits(RunOptions, "CemaNeige") & "Precip" %in% RunOptions$Outputs_Sim) { if (inherits(RunOptions, "CemaNeige") & "Precip" %in% RunOptions$Outputs_Sim) {
RESULTS$Outputs[, which(FortranOutputs$GR[IndOutputsMod] == "Precip")] <- InputsModel$Precip[IndPeriod1] RESULTS$Outputs[, which(RunOptions$FortranOutputs$GR[IndOutput