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Resolve "Optimisation of OutputsModel creation in RunModel*"

Merged Dorchies David requested to merge 129-optimisation-of-outputsmodel-creation-in-runmodel into dev
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+ 230
− 560
R/RunModel_CemaNeigeGR4H.R
+ 13
− 45
@@ -6,7 +6,6 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
NParam <- ifelse(test = IsHyst, yes = 8L, no = 6L)
NParamCN <- NParam - 4L
NStates <- 4L
FortranOutputs <- .FortranOutputs(GR = "GR4H", isCN = TRUE)
## Arguments check
@@ -76,9 +75,9 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
## CemaNeige________________________________________________________________________________
if (inherits(RunOptions, "CemaNeige")) {
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsCemaNeige <- as.integer(1:length(FortranOutputs$CN))
IndOutputsCemaNeige <- as.integer(1:length(RunOptions$FortranOutputs$CN))
} else {
IndOutputsCemaNeige <- which(FortranOutputs$CN %in% RunOptions$Outputs_Sim)
IndOutputsCemaNeige <- which(RunOptions$FortranOutputs$CN %in% RunOptions$Outputs_Sim)
}
CemaNeigeLayers <- list()
CemaNeigeStateEnd <- NULL
@@ -116,7 +115,7 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$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")
if (iLayer == 1) {
CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers
@@ -142,9 +141,9 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
## GR model
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsMod <- as.integer(1:length(FortranOutputs$GR))
IndOutputsMod <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputsMod <- which(FortranOutputs$GR %in% RunOptions$Outputs_Sim)
IndOutputsMod <- which(RunOptions$FortranOutputs$GR %in% RunOptions$Outputs_Sim)
}
## Use of IniResLevels
@@ -186,45 +185,14 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
}
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 only
if (!ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(CemaNeigeLayers))
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers)
}
## DatesR and OutputsModel only
if (ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(list(InputsModel$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)
## OutputsModel generation
.GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries,
CemaNeigeLayers)
}
R/RunModel_CemaNeigeGR4J.R
+ 43
− 75
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'")
@@ -38,7 +37,7 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
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
@@ -53,8 +52,8 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
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
@@ -71,20 +70,20 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
## Output data preparation
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim
## CemaNeige________________________________________________________________________________
if (inherits(RunOptions, "CemaNeige")) {
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsCemaNeige <- as.integer(1:length(FortranOutputs$CN))
IndOutputsCemaNeige <- as.integer(1:length(RunOptions$FortranOutputs$CN))
} else {
IndOutputsCemaNeige <- which(FortranOutputs$CN %in% RunOptions$Outputs_Sim)
IndOutputsCemaNeige <- which(RunOptions$FortranOutputs$CN %in% RunOptions$Outputs_Sim)
}
CemaNeigeLayers <- list()
CemaNeigeStateEnd <- NULL
NameCemaNeigeLayers <- "CemaNeigeLayers"
## Call CemaNeige Fortran_________________________
for(iLayer in 1:NLayers) {
if (!IsHyst) {
@@ -92,7 +91,7 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
} else {
StateStartCemaNeige <- RunOptions$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
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$LayerPrecip[[iLayer]][IndPeriod1], ### input series of total precipitation [mm/d]
@@ -106,16 +105,16 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
IsHyst = as.integer(IsHyst), ### use of hysteresis
NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs = IndOutputsCemaNeige, ### indices of output series
## outputs
## outputs
Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/d or degC]
StateEnd = rep(as.double(-99e9), as.integer(NStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(CemaNeigeLayers[[iLayer]]) <- FortranOutputs$CN[IndOutputsCemaNeige]
names(CemaNeigeLayers[[iLayer]]) <- RunOptions$FortranOutputs$CN[IndOutputsCemaNeige]
IndPliqAndMelt <- which(names(CemaNeigeLayers[[iLayer]]) == "PliqAndMelt")
if (iLayer == 1) {
CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers
@@ -136,24 +135,24 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
NameCemaNeigeLayers <- NULL
CatchMeltAndPliq <- InputsModel$Precip[IndPeriod1]
}
## GR model______________________________________________________________________________________
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsMod <- as.integer(1:length(FortranOutputs$GR))
IndOutputsMod <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputsMod <- which(FortranOutputs$GR %in% RunOptions$Outputs_Sim)
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",
RESULTS <- .Fortran("frun_gr4j", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = CatchMeltAndPliq, ### input series of total precipitation [mm/d]
@@ -164,7 +163,7 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
StateStart = RunOptions$IniStates[1:NStatesMod], ### state variables used when the model run starts
NOutputs = as.integer(length(IndOutputsMod)), ### number of output series
IndOutputs = IndOutputsMod, ### indices of output series
## outputs
## outputs
Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/d]
StateEnd = rep(as.double(-99e9), NStatesMod) ### state variables at the end of the model run
)
@@ -173,57 +172,26 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
if (ExportStateEnd) {
RESULTS$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$StateEnd[2L], ExpStore = NULL,
RESULTS$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]],
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$Outputs[, which(FortranOutputs$GR[IndOutputsMod] == "Precip")] <- InputsModel$Precip[IndPeriod1]
RESULTS$Outputs[, which(RunOptions$FortranOutputs$GR[IndOutputsMod] == "Precip")] <-
InputsModel$Precip[IndPeriod1]
}
## Output data preparation
## OutputsModel only
if (!ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(CemaNeigeLayers))
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers)
}
## 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$GR[IndOutputsMod], NameCemaNeigeLayers, "StateEnd")
}
## End
rm(RESULTS)
class(OutputsModel) <- c("OutputsModel", "daily", "GR", "CemaNeige")
if (IsHyst) {
class(OutputsModel) <- c(class(OutputsModel), "hysteresis")
}
return(OutputsModel)
## OutputsModel generation
.GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries,
CemaNeigeLayers)
}
R/RunModel_CemaNeigeGR5H.R
+ 31
− 66
RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
IsHyst <- inherits(RunOptions, "hysteresis")
NParam <- ifelse(test = IsHyst, yes = 9L, no = 7L)
NParamCN <- NParam - 5L
NStates <- 4L
FortranOutputs <- .FortranOutputs(GR = "GR5H", isCN = TRUE)
IsIntStore <- inherits(RunOptions, "interception")
if (IsIntStore) {
Imax <- RunOptions$Imax
} else {
Imax <- -99
}
## Arguments check
if (!inherits(InputsModel, "InputsModel")) {
stop("'InputsModel' must be of class 'InputsModel'")
@@ -44,8 +43,8 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
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) {
@@ -59,8 +58,8 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
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))
Param[4L] <- Param_X4_threshold
}
}
## Input data preparation
if (identical(RunOptions$IndPeriod_WarmUp, 0L)) {
RunOptions$IndPeriod_WarmUp <- NULL
@@ -73,24 +72,24 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
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$Outputs_Sim) {
IndOutputsCemaNeige <- as.integer(1:length(FortranOutputs$CN))
IndOutputsCemaNeige <- as.integer(1:length(RunOptions$FortranOutputs$CN))
} else {
IndOutputsCemaNeige <- which(FortranOutputs$CN %in% RunOptions$Outputs_Sim)
IndOutputsCemaNeige <- which(RunOptions$FortranOutputs$CN %in% RunOptions$Outputs_Sim)
}
CemaNeigeLayers <- list()
CemaNeigeStateEnd <- NULL
NameCemaNeigeLayers <- "CemaNeigeLayers"
## Call CemaNeige Fortran_________________________
for (iLayer in 1:NLayers) {
@@ -113,16 +112,16 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
IsHyst = as.integer(IsHyst), ### use of hysteresis
NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs = IndOutputsCemaNeige, ### indices of output series
## outputs
## outputs
Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/h or degC]
StateEnd = rep(as.double(-99e9), as.integer(NStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(CemaNeigeLayers[[iLayer]]) <- FortranOutputs$CN[IndOutputsCemaNeige]
names(CemaNeigeLayers[[iLayer]]) <- RunOptions$FortranOutputs$CN[IndOutputsCemaNeige]
IndPliqAndMelt <- which(names(CemaNeigeLayers[[iLayer]]) == "PliqAndMelt")
if (iLayer == 1) {
CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers
@@ -148,9 +147,9 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
## GR model
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsMod <- as.integer(1:length(FortranOutputs$GR))
IndOutputsMod <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputsMod <- which(FortranOutputs$GR %in% RunOptions$Outputs_Sim)
IndOutputsMod <- which(RunOptions$FortranOutputs$GR %in% RunOptions$Outputs_Sim)
}
## Use of IniResLevels
@@ -191,54 +190,20 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
UH2 = RESULTS$StateEnd[(1:(40*24)) + (7+20*24)],
GCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 1]],
eTGCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 2]],
GthrCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 3]],
GthrCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 3]],
GlocmaxCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 0]],
verbose = FALSE)
}
if (inherits(RunOptions, "CemaNeige") & "Precip" %in% RunOptions$Outputs_Sim) {
RESULTS$Outputs[, which(FortranOutputs$GR[IndOutputsMod] == "Precip")] <- InputsModel$Precip[IndPeriod1]
RESULTS$Outputs[, which(RunOptions$FortranOutputs$GR[IndOutputsMod] == "Precip")] <-
InputsModel$Precip[IndPeriod1]
}
## Output data preparation
## OutputsModel only
if (!ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(CemaNeigeLayers))
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers)
}
## 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$GR[IndOutputsMod], NameCemaNeigeLayers, "StateEnd")
}
## End
rm(RESULTS)
class(OutputsModel) <- c("OutputsModel", "hourly", "GR", "CemaNeige")
if (IsHyst) {
class(OutputsModel) <- c(class(OutputsModel), "hysteresis")
}
if (IsIntStore) {
class(OutputsModel) <- c(class(OutputsModel), "interception")
}
return(OutputsModel)
## OutputsModel generation
.GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries,
CemaNeigeLayers)
}
R/RunModel_CemaNeigeGR5J.R
+ 37
− 69
RunModel_CemaNeigeGR5J <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
IsHyst <- inherits(RunOptions, "hysteresis")
NParam <- ifelse(test = IsHyst, yes = 9L, no = 7L)
NParamCN <- NParam - 5L
NStates <- 4L
FortranOutputs <- .FortranOutputs(GR = "GR5J", isCN = TRUE)
## Arguments check
if (!inherits(InputsModel, "InputsModel")) {
stop("'InputsModel' must be of class 'InputsModel'")
@@ -38,8 +37,8 @@ RunModel_CemaNeigeGR5J <- function(InputsModel, RunOptions, Param) {
stop(paste("'Param' must be a vector of length", NParam, "and contain no NA"))
}
Param <- as.double(Param)
Param_X1X3_threshold <- 1e-2
Param_X4_threshold <- 0.5
if (Param[1L] < Param_X1X3_threshold) {
@@ -53,8 +52,8 @@ RunModel_CemaNeigeGR5J <- function(InputsModel, RunOptions, Param) {
if (Param[4L] < Param_X4_threshold) {
warning(sprintf("Param[4] (X4: unit hydrograph time constant [d]) < %.2f\n X4 set to %.2f", Param_X4_threshold, Param_X4_threshold))
Param[4L] <- Param_X4_threshold
}
}
## Input data preparation
if (identical(RunOptions$IndPeriod_WarmUp, 0L)) {
RunOptions$IndPeriod_WarmUp <- NULL
@@ -69,20 +68,20 @@ RunModel_CemaNeigeGR5J <- function(InputsModel, RunOptions, Param) {
NStatesMod <- as.integer(length(RunOptions$IniStates) - NStates * NLayers)
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim
## CemaNeige________________________________________________________________________________
if (inherits(RunOptions, "CemaNeige")) {
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsCemaNeige <- as.integer(1:length(FortranOutputs$CN))
IndOutputsCemaNeige <- as.integer(1:length(RunOptions$FortranOutputs$CN))
} else {
IndOutputsCemaNeige <- which(FortranOutputs$CN %in% RunOptions$Outputs_Sim)
IndOutputsCemaNeige <- which(RunOptions$FortranOutputs$CN %in% RunOptions$Outputs_Sim)
}
CemaNeigeLayers <- list()
CemaNeigeStateEnd <- NULL
NameCemaNeigeLayers <- "CemaNeigeLayers"
## Call CemaNeige Fortran_________________________
for(iLayer in 1:NLayers) {
if (!IsHyst) {
@@ -104,16 +103,16 @@ RunModel_CemaNeigeGR5J <- function(InputsModel, RunOptions, Param) {
IsHyst = as.integer(IsHyst), ### use of hysteresis
NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs = IndOutputsCemaNeige, ### indices of output series
## outputs
## outputs
Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/d or degC]
StateEnd = rep(as.double(-99e9), as.integer(NStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(CemaNeigeLayers[[iLayer]]) <- FortranOutputs$CN[IndOutputsCemaNeige]
names(CemaNeigeLayers[[iLayer]]) <- RunOptions$FortranOutputs$CN[IndOutputsCemaNeige]
IndPliqAndMelt <- which(names(CemaNeigeLayers[[iLayer]]) == "PliqAndMelt")
if (iLayer == 1) {
CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers
@@ -134,22 +133,22 @@ RunModel_CemaNeigeGR5J <- function(InputsModel, RunOptions, Param) {
NameCemaNeigeLayers <- NULL
CatchMeltAndPliq <- InputsModel$Precip[IndPeriod1]
}
## GR model______________________________________________________________________________________
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsMod <- as.integer(1:length(FortranOutputs$GR))
IndOutputsMod <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputsMod <- which(FortranOutputs$GR %in% RunOptions$Outputs_Sim)
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_gr5j", PACKAGE = "airGR",
## inputs
@@ -162,7 +161,7 @@ RunModel_CemaNeigeGR5J <- function(InputsModel, RunOptions, Param) {
StateStart = RunOptions$IniStates[1:NStatesMod], ### state variables used when the model run starts
NOutputs = as.integer(length(IndOutputsMod)), ### number of output series
IndOutputs = IndOutputsMod, ### indices of output series
## outputs
## outputs
Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/d]
StateEnd = rep(as.double(-99e9), NStatesMod) ### state variables at the end of the model run
)
@@ -177,51 +176,20 @@ RunModel_CemaNeigeGR5J <- function(InputsModel, RunOptions, Param) {
UH2 = RESULTS$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]],
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(FortranOutputs$GR[IndOutputsMod] == "Precip")] <- InputsModel$Precip[IndPeriod1]
}
## Output data preparation
## OutputsModel only
if (!ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(CemaNeigeLayers))
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers)
}
## DatesR and OutputsModel only
if (ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(list(InputsModel$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)
RESULTS$Outputs[, which(RunOptions$FortranOutputs$GR[IndOutputsMod] == "Precip")] <-
InputsModel$Precip[IndPeriod1]
}
## OutputsModel generation
.GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries,
CemaNeigeLayers)
}
R/RunModel_CemaNeigeGR6J.R
+ 14
− 46
@@ -6,7 +6,6 @@ RunModel_CemaNeigeGR6J <- function(InputsModel, RunOptions, Param) {
NParam <- ifelse(test = IsHyst, yes = 10L, no = 8L)
NParamCN <- NParam - 6L
NStates <- 4L
FortranOutputs <- .FortranOutputs(GR = "GR6J", isCN = TRUE)
## Arguments check
@@ -78,9 +77,9 @@ RunModel_CemaNeigeGR6J <- function(InputsModel, RunOptions, Param) {
## CemaNeige________________________________________________________________________________
if (inherits(RunOptions, "CemaNeige")) {
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsCemaNeige <- as.integer(1:length(FortranOutputs$CN))
IndOutputsCemaNeige <- as.integer(1:length(RunOptions$FortranOutputs$CN))
} else {
IndOutputsCemaNeige <- which(FortranOutputs$CN %in% RunOptions$Outputs_Sim)
IndOutputsCemaNeige <- which(RunOptions$FortranOutputs$CN %in% RunOptions$Outputs_Sim)
}
CemaNeigeLayers <- list()
CemaNeigeStateEnd <- NULL
@@ -117,7 +116,7 @@ RunModel_CemaNeigeGR6J <- function(InputsModel, RunOptions, Param) {
## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$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")
if (iLayer == 1) {
CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers
@@ -143,9 +142,9 @@ RunModel_CemaNeigeGR6J <- function(InputsModel, RunOptions, Param) {
## GR model______________________________________________________________________________________
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsMod <- as.integer(1:length(FortranOutputs$GR))
IndOutputsMod <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputsMod <- which(FortranOutputs$GR %in% RunOptions$Outputs_Sim)
IndOutputsMod <- which(RunOptions$FortranOutputs$GR %in% RunOptions$Outputs_Sim)
}
## Use of IniResLevels
@@ -188,46 +187,15 @@ RunModel_CemaNeigeGR6J <- function(InputsModel, RunOptions, Param) {
}
if (inherits(RunOptions, "CemaNeige") & "Precip" %in% RunOptions$Outputs_Sim) {
RESULTS$Outputs[, which(FortranOutputs$GR[IndOutputsMod] == "Precip")] <- InputsModel$Precip[IndPeriod1]
}
## Output data preparation
## OutputsModel only
if (!ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(CemaNeigeLayers))
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers)
}
## DatesR and OutputsModel only
if (ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(list(InputsModel$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)
RESULTS$Outputs[, which(RunOptions$FortranOutputs$GR[IndOutputsMod] == "Precip")] <-
InputsModel$Precip[IndPeriod1]
}
## OutputsModel generation
.GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries,
CemaNeigeLayers)
}
R/RunModel_GR1A.R
+ 7
− 33
@@ -3,7 +3,6 @@ RunModel_GR1A <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
NParam <- 1
FortranOutputs <- .FortranOutputs(GR = "GR1A")$GR
## Arguments check
@@ -38,9 +37,9 @@ RunModel_GR1A <- function(InputsModel, RunOptions, Param) {
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp, RunOptions$IndPeriod_Run)
LInputSeries <- as.integer(length(IndPeriod1))
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputs <- as.integer(1:length(FortranOutputs))
IndOutputs <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim)
IndOutputs <- which(RunOptions$FortranOutputs$GR %in% RunOptions$Outputs_Sim)
}
@@ -69,34 +68,9 @@ RunModel_GR1A <- function(InputsModel, RunOptions, Param) {
RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
## Output data preparation
## OutputsModel only
if (!ExportDatesR & !ExportStateEnd) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(OutputsModel) <- FortranOutputs[IndOutputs]
}
## 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]))
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs])
}
## OutputsModel and StateEnd only
if (!ExportDatesR & ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd))
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd")
}
## DatesR and OutputsModel and StateEnd
if ((ExportDatesR & ExportStateEnd) | "all" %in% RunOptions$Outputs_Sim) {
OutputsModel <- c(list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd))
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs], "StateEnd")
}
## End
class(OutputsModel) <- c("OutputsModel", "yearly", "GR")
return(OutputsModel)
## OutputsModel generation
.GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries)
}
R/RunModel_GR2M.R
+ 7
− 33
@@ -3,7 +3,6 @@ RunModel_GR2M <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
NParam <- 2
FortranOutputs <- .FortranOutputs(GR = "GR2M")$GR
## Arguments check
@@ -47,9 +46,9 @@ RunModel_GR2M <- function(InputsModel, RunOptions, Param) {
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp, RunOptions$IndPeriod_Run)
LInputSeries <- as.integer(length(IndPeriod1))
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputs <- as.integer(1:length(FortranOutputs))
IndOutputs <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim)
IndOutputs <- which(RunOptions$FortranOutputs$GR %in% RunOptions$Outputs_Sim)
}
## Output data preparation
@@ -91,34 +90,9 @@ RunModel_GR2M <- function(InputsModel, RunOptions, Param) {
}
## Output data preparation
## OutputsModel only
if (!ExportDatesR & !ExportStateEnd) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(OutputsModel) <- FortranOutputs[IndOutputs]
}
## DatesR and OutputsModel only
if (ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]))
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs])
}
## OutputsModel and StateEnd only
if (!ExportDatesR & ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd))
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd")
}
## DatesR and OutputsModel and StateEnd
if ((ExportDatesR & ExportStateEnd) | "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", "monthly", "GR")
return(OutputsModel)
## OutputsModel generation
.GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries)
}
R/RunModel_GR4H.R
+ 7
− 34
@@ -3,7 +3,6 @@ RunModel_GR4H <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
NParam <- 4
FortranOutputs <- .FortranOutputs(GR = "GR4H")$GR
## Arguments check
@@ -52,9 +51,9 @@ RunModel_GR4H <- function(InputsModel, RunOptions, Param) {
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp, RunOptions$IndPeriod_Run)
LInputSeries <- as.integer(length(IndPeriod1))
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputs <- as.integer(1:length(FortranOutputs))
IndOutputs <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim)
IndOutputs <- which(RunOptions$FortranOutputs$GR %in% RunOptions$Outputs_Sim)
}
## Output data preparation
@@ -96,35 +95,9 @@ RunModel_GR4H <- function(InputsModel, RunOptions, Param) {
verbose = FALSE)
}
## Output data preparation
## OutputsModel only
if (!ExportDatesR & !ExportStateEnd) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(OutputsModel) <- FortranOutputs[IndOutputs]
}
## 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]))
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs])
}
## OutputsModel and StateEnd only
if (!ExportDatesR & ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd))
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd")
}
## DatesR and OutputsModel and StateEnd
if ((ExportDatesR & ExportStateEnd) | "all" %in% RunOptions$Outputs_Sim) {
OutputsModel <- c(list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd))
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs], "StateEnd")
}
## End
rm(RESULTS)
class(OutputsModel) <- c("OutputsModel", "hourly", "GR")
return(OutputsModel)
## OutputsModel generation
.GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries)
}
R/RunModel_GR4J.R
+ 5
− 11
@@ -89,15 +89,9 @@ RunModel_GR4J <- function(InputsModel, RunOptions, Param) {
verbose = FALSE)
}
## Output data preparation
OutputsModel <- .GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries)
## End
rm(RESULTS)
class(OutputsModel) <- c("OutputsModel", "daily", "GR")
return(OutputsModel)
## OutputsModel generation
.GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries)
}
R/RunModel_GR5H.R
+ 7
− 37
@@ -3,7 +3,6 @@ RunModel_GR5H <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
NParam <- 5
FortranOutputs <- .FortranOutputs(GR = "GR5H")$GR
IsIntStore <- inherits(RunOptions, "interception")
if (IsIntStore) {
Imax <- RunOptions$Imax
@@ -58,9 +57,9 @@ RunModel_GR5H <- function(InputsModel, RunOptions, Param) {
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp, RunOptions$IndPeriod_Run)
LInputSeries <- as.integer(length(IndPeriod1))
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputs <- as.integer(1:length(FortranOutputs))
IndOutputs <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim)
IndOutputs <- which(RunOptions$FortranOutputs$GR %in% RunOptions$Outputs_Sim)
}
## Output data preparation
@@ -107,38 +106,9 @@ RunModel_GR5H <- function(InputsModel, RunOptions, Param) {
verbose = FALSE)
}
## Output data preparation
## OutputsModel only
if (!ExportDatesR & !ExportStateEnd) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(OutputsModel) <- FortranOutputs[IndOutputs]
}
## 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]))
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs])
}
## OutputsModel and StateEnd only
if (!ExportDatesR & ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd))
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd")
}
## DatesR and OutputsModel and StateEnd
if ((ExportDatesR & ExportStateEnd) | "all" %in% RunOptions$Outputs_Sim) {
OutputsModel <- c(list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd))
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs], "StateEnd")
}
## End
rm(RESULTS)
class(OutputsModel) <- c("OutputsModel", "hourly", "GR")
if (IsIntStore) {
class(OutputsModel) <- c(class(OutputsModel), "interception")
}
return(OutputsModel)
## OutputsModel generation
.GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries)
}
R/RunModel_GR5J.R
+ 28
− 55
RunModel_GR5J <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
NParam <- 5
FortranOutputs <- .FortranOutputs(GR = "GR5J")$GR
## 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(RunOptions, "RunOptions")) {
stop("'RunOptions' must be of class 'RunOptions'")
}
}
if (!inherits(RunOptions, "GR")) {
stop("'RunOptions' must be of class 'GR'")
}
}
if (!is.vector(Param) | !is.numeric(Param)) {
stop("'Param' must be a numeric vector")
}
@@ -29,7 +28,7 @@ RunModel_GR5J <- function(InputsModel, RunOptions, Param) {
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) {
@@ -43,8 +42,8 @@ RunModel_GR5J <- function(InputsModel, RunOptions, Param) {
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
@@ -52,24 +51,24 @@ RunModel_GR5J <- function(InputsModel, RunOptions, Param) {
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp, RunOptions$IndPeriod_Run)
LInputSeries <- as.integer(length(IndPeriod1))
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputs <- as.integer(1:length(FortranOutputs))
IndOutputs <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim)
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$IniResLevels[2] * Param[3] ### routing store level (mm)
}
## Call GR model Fortan
RESULTS <- .Fortran("frun_gr5j", PACKAGE = "airGR",
RESULTS <- .Fortran("frun_gr5j", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d]
@@ -88,43 +87,17 @@ RunModel_GR5J <- function(InputsModel, RunOptions, Param) {
RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
if (ExportStateEnd) {
RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR5J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR5J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = NULL,
UH2 = RESULTS$StateEnd[(1:40) + (7+20)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
UH2 = RESULTS$StateEnd[(1:40) + (7+20)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE)
}
## Output data preparation
## OutputsModel only
if (!ExportDatesR & !ExportStateEnd) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(OutputsModel) <- FortranOutputs[IndOutputs]
}
## DatesR and OutputsModel only
if (ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]))
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs])
}
## OutputsModel and StateEnd only
if (!ExportDatesR & ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd))
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd")
}
## DatesR and OutputsModel and StateEnd
if ((ExportDatesR & ExportStateEnd) | "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)
## OutputsModel generation
.GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries)
}
R/RunModel_GR6J.R
+ 28
− 55
RunModel_GR6J <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
NParam <- 6
FortranOutputs <- .FortranOutputs(GR = "GR6J")$GR
## Arguments check
if (!inherits(InputsModel, "InputsModel")) {
stop("'InputsModel' must be of class 'InputsModel'")
}
}
if (!inherits(InputsModel, "daily")) {
stop("'InputsModel' must be of class 'daily'")
}
}
if (!inherits(InputsModel, "GR")) {
stop("'InputsModel' must be of class 'GR'")
}
}
if (!inherits(RunOptions, "RunOptions")) {
stop("'RunOptions' must be of class 'RunOptions'")
}
}
if (!inherits(RunOptions, "GR")) {
stop("'RunOptions' must be of class 'GR'")
}
}
if (!is.vector(Param) | !is.numeric(Param)) {
stop("'Param' must be a numeric vector")
}
@@ -29,7 +28,7 @@ RunModel_GR6J <- function(InputsModel, RunOptions, Param) {
stop(paste("'Param' must be a vector of length", NParam, "and contain no NA"))
}
Param <- as.double(Param)
Param_X1X3X6_threshold <- 1e-2
Param_X4_threshold <- 0.5
if (Param[1L] < Param_X1X3X6_threshold) {
@@ -47,8 +46,8 @@ RunModel_GR6J <- function(InputsModel, RunOptions, Param) {
if (Param[6L] < Param_X1X3X6_threshold) {
warning(sprintf("Param[6] (X6: coefficient for emptying exponential store [mm]) < %.2f\n X6 set to %.2f", Param_X1X3X6_threshold, Param_X1X3X6_threshold))
Param[6L] <- Param_X1X3X6_threshold
}
}
## Input data preparation
if (identical(RunOptions$IndPeriod_WarmUp, 0L)) {
RunOptions$IndPeriod_WarmUp <- NULL
@@ -56,25 +55,25 @@ RunModel_GR6J <- function(InputsModel, RunOptions, Param) {
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp, RunOptions$IndPeriod_Run)
LInputSeries <- as.integer(length(IndPeriod1))
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputs <- as.integer(1:length(FortranOutputs))
IndOutputs <- as.integer(1:length(RunOptions$FortranOutputs$GR))
} else {
IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim)
IndOutputs <- which(RunOptions$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[3] ### routing store level (mm)
RunOptions$IniStates[3] <- RunOptions$IniResLevels[3] ### exponential store level (mm)
}
## Call GR model Fortan
RESULTS <- .Fortran("frun_gr6j", PACKAGE = "airGR",
RESULTS <- .Fortran("frun_gr6j", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d]
@@ -93,43 +92,17 @@ RunModel_GR6J <- function(InputsModel, RunOptions, Param) {
RESULTS$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
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR6J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = RESULTS$StateEnd[3L],
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,
UH2 = RESULTS$StateEnd[(1:40) + (7+20)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE)
}
## Output data preparation
## OutputsModel only
if (!ExportDatesR & !ExportStateEnd) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(OutputsModel) <- FortranOutputs[IndOutputs]
}
## DatesR and OutputsModel only
if (ExportDatesR & !ExportStateEnd) {
OutputsModel <- c(list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]))
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs])
}
## OutputsModel and StateEnd only
if (!ExportDatesR & ExportStateEnd) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd))
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd")
}
## DatesR and OutputsModel and StateEnd
if ((ExportDatesR & ExportStateEnd) | "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)
## OutputsModel generation
.GetOutputsModel(InputsModel,
RunOptions,
RESULTS,
LInputSeries)
}
R/UtilsRunModel.R
+ 3
− 1
@@ -27,7 +27,7 @@
OutputsModel <- list()
if("DatesR" %in% RunOptions$Outputs_Sim) {
OutputsModel$DatesR <- list(InputsModel$DatesR[RunOptions$IndPeriod_Run])
OutputsModel$DatesR <- InputsModel$DatesR[RunOptions$IndPeriod_Run]
}
seqOutputs <- seq_len(RESULTS$NOutputs)
@@ -44,5 +44,7 @@
OutputsModel$StateEnd <- RESULTS$StateEnd
}
class(OutputsModel) <- c("OutputsModel", class(RunOptions)[-1])
return(OutputsModel)
}