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v1.6.3.46 style: format RunModel_CemaNeigeGR5J 

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dev 115-add-pcict-date-format-managment 118-plot-outputsmodel-remove-case-sensitivity-to-the-which-argument 136-decreased-performance-of-calibration-execution-time 60-migrate-transfoparam-functions-and-createcaliboptions-to-s3-methods 96-parallelize-the-grid-screening-step-during-calibration master CRAN_v1.7.0 CRAN_v1.6.12 CRAN_v1.6.11 CRAN_v1.6.10.4 CRAN_v1.6.9.27 CRAN_v1.6.9.24 CRAN_v1.6.9.23 CRAN_v1.6.9.21
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DESCRIPTION
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Package: airGR Package: airGR
Type: Package Type: Package
Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Version: 1.6.3.45 Version: 1.6.3.46
Date: 2020-11-11 Date: 2020-11-11
Authors@R: c( Authors@R: c(
person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")), person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),
......
NEWS.md
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...@@ -4,7 +4,7 @@ ...@@ -4,7 +4,7 @@
### 1.6.3.45 Release Notes (2020-11-11) ### 1.6.3.46 Release Notes (2020-11-11)
#### New features #### New features
......
R/RunModel_CemaNeigeGR5J.R
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RunModel_CemaNeigeGR5J <- function(InputsModel,RunOptions,Param){ RunModel_CemaNeigeGR5J <- function(InputsModel, RunOptions, Param) {
## 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 = "GR5J", isCN = TRUE) FortranOutputs <- .FortranOutputs(GR = "GR5J", isCN = TRUE)
##Arguments_check
if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") } ## Arguments_check
if(inherits(InputsModel,"daily" )==FALSE){ stop("'InputsModel' must be of class 'daily' ") } if (inherits(InputsModel, "InputsModel") == FALSE) {
if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") } stop("'InputsModel' must be of class 'InputsModel'")
if(inherits(InputsModel,"CemaNeige" )==FALSE){ stop("'InputsModel' must be of class 'CemaNeige' ") } }
if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") } if (inherits(InputsModel, "daily") == FALSE) {
if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") } stop("'InputsModel' must be of class 'daily'")
if(inherits(RunOptions,"CemaNeige" )==FALSE){ stop("'RunOptions' must be of class 'CemaNeige' ") } }
if(!is.vector(Param) | !is.numeric(Param)){ stop("'Param' must be a numeric vector") } if (inherits(InputsModel, "GR") == FALSE) {
if(sum(!is.na(Param))!=NParam){ stop(paste("'Param' must be a vector of length ",NParam," and contain no NA",sep="")) } stop("'InputsModel' must be of class 'GR'")
Param <- as.double(Param); }
if (inherits(InputsModel, "CemaNeige") == FALSE) {
Param_X1X3_threshold <- 1e-2 stop("'InputsModel' must be of class 'CemaNeige'")
Param_X4_threshold <- 0.5 }
if (Param[1L] < Param_X1X3_threshold) { if (inherits(RunOptions, "RunOptions") == FALSE) {
warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X3_threshold, Param_X1X3_threshold)) stop("'RunOptions' must be of class 'RunOptions'")
Param[1L] <- Param_X1X3_threshold }
} if (inherits(RunOptions, "GR") == FALSE) {
if (Param[3L] < Param_X1X3_threshold) { stop("'RunOptions' must be of class 'GR'")
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 (inherits(RunOptions, "CemaNeige") == FALSE) {
stop("'RunOptions' must be of class 'CemaNeige'")
}
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"))
}
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$IndPeriod_WarmUp, as.integer(0))) {
RunOptions$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$IniStates) - NStates * NLayers)
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim
## SNOW_MODULE________________________________________________________________________________
if (inherits(RunOptions, "CemaNeige") == TRUE) {
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsCemaNeige <- as.integer(1:length(FortranOutputs$CN))
} else {
IndOutputsCemaNeige <- which(FortranOutputs$CN %in% RunOptions$Outputs_Sim)
}
CemaNeigeLayers <- list()
CemaNeigeStateEnd <- NULL
NameCemaNeigeLayers <- "CemaNeigeLayers"
## Call_DLL_CemaNeige_________________________
for(iLayer in 1:NLayers) {
if (!IsHyst) {
StateStartCemaNeige <- RunOptions$IniStates[(7 + 20 + 40) + c(iLayer, iLayer+NLayers)]
} else {
StateStartCemaNeige <- RunOptions$IniStates[(7 + 20 + 40) + c(iLayer, iLayer+NLayers, iLayer+2*NLayers, iLayer+3*NLayers)]
} }
if (Param[4L] < Param_X4_threshold) { RESULTS <- .Fortran("frun_cemaneige", PACKAGE="airGR",
warning(sprintf("Param[4] (X4: unit hydrograph time constant [d]) < %.2f\n X4 set to %.2f", Param_X4_threshold, Param_X4_threshold)) ## inputs
Param[4L] <- Param_X4_threshold LInputs = LInputSeries, ### length of input and output series
} InputsPrecip = InputsModel$LayerPrecip[[iLayer]][IndPeriod1], ### input series of total precipitation [mm/d]
InputsFracSolidPrecip = InputsModel$LayerFracSolidPrecip[[iLayer]][IndPeriod1], ### input series of fraction of solid precipitation [0-1]
##Input_data_preparation InputsTemp = InputsModel$LayerTemp[[iLayer]][IndPeriod1], ### input series of air mean temperature [degC]
if(identical(RunOptions$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; } MeanAnSolidPrecip = RunOptions$MeanAnSolidPrecip[iLayer], ### value of annual mean solid precip [mm/y]
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run); NParam = as.integer(NParamCN), ### number of model parameters = 2 or 4
LInputSeries <- as.integer(length(IndPeriod1)) Param = as.double(ParamCemaNeige), ### parameter set
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries; NStates = as.integer(NStates), ### number of state variables used for model initialising = 4
ParamCemaNeige <- Param[(length(Param)-1-2*as.integer(IsHyst)):length(Param)]; StateStart = StateStartCemaNeige, ### state variables used when the model run starts
NParamMod <- as.integer(length(Param)-(2+2*as.integer(IsHyst))); IsHyst = as.integer(IsHyst), ### use of hysteresis
ParamMod <- Param[1:NParamMod]; NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
NLayers <- length(InputsModel$LayerPrecip); IndOutputs = IndOutputsCemaNeige, ### indices of output series
NStatesMod <- as.integer(length(RunOptions$IniStates)-NStates*NLayers); ## outputs
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim; Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm]
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim; StateEnd = rep(as.double(-999.999), as.integer(NStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[ round(RESULTS$Outputs , 3) == -999.999] <- NA
##SNOW_MODULE________________________________________________________________________________## RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == -999.999] <- NA
if(inherits(RunOptions,"CemaNeige")==TRUE){
if("all" %in% RunOptions$Outputs_Sim){ IndOutputsCemaNeige <- as.integer(1:length(FortranOutputs$CN));
} else { IndOutputsCemaNeige <- which(FortranOutputs$CN %in% RunOptions$Outputs_Sim); }
CemaNeigeLayers <- list(); CemaNeigeStateEnd <- NULL; NameCemaNeigeLayers <- "CemaNeigeLayers";
##Call_DLL_CemaNeige_________________________ ## Data_storage
for(iLayer in 1:NLayers){ CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
if (!IsHyst) { names(CemaNeigeLayers[[iLayer]]) <- FortranOutputs$CN[IndOutputsCemaNeige]
StateStartCemaNeige <- RunOptions$IniStates[(7 + 20 + 40) + c(iLayer, iLayer+NLayers)] IndPliqAndMelt <- which(names(CemaNeigeLayers[[iLayer]]) == "PliqAndMelt")
} else { if (iLayer == 1) {
StateStartCemaNeige <- RunOptions$IniStates[(7 + 20 + 40) + c(iLayer, iLayer+NLayers, iLayer+2*NLayers, iLayer+3*NLayers)] CatchMeltAndPliq <- RESULTS$Outputs[, IndPliqAndMelt] / NLayers
} }
RESULTS <- .Fortran("frun_cemaneige",PACKAGE="airGR", if (iLayer > 1) {
##inputs CatchMeltAndPliq <- CatchMeltAndPliq + RESULTS$Outputs[, IndPliqAndMelt] / NLayers
LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$LayerPrecip[[iLayer]][IndPeriod1], ### input series of total precipitation [mm/d]
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$MeanAnSolidPrecip[iLayer], ### value of annual mean solid precip [mm/y]
NParam=as.integer(NParamCN), ### number of model parameters = 2 or 4
Param=as.double(ParamCemaNeige), ### parameter set
NStates=as.integer(NStates), ### number of state variables used for model initialising = 4
StateStart=StateStartCemaNeige, ### state variables used when the model run starts
IsHyst = as.integer(IsHyst), ### use of hysteresis
NOutputs=as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs=IndOutputsCemaNeige, ### indices of output series
##outputs
Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputsCemaNeige)), ### output series [mm]
StateEnd=rep(as.double(-999.999),as.integer(NStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,3)==(-999.999)] <- NA;
##Data_storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
names(CemaNeigeLayers[[iLayer]]) <- FortranOutputs$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$StateEnd); }
rm(RESULTS);
} ###ENDFOR_iLayer
names(CemaNeigeLayers) <- sprintf("Layer%02i", seq_len(NLayers))
} ###ENDIF_RunSnowModule
if(inherits(RunOptions,"CemaNeige")==FALSE){
CemaNeigeLayers <- list(); CemaNeigeStateEnd <- NULL; NameCemaNeigeLayers <- NULL;
CatchMeltAndPliq <- InputsModel$Precip[IndPeriod1]; }
##MODEL______________________________________________________________________________________##
if("all" %in% RunOptions$Outputs_Sim){ IndOutputsMod <- as.integer(1:length(FortranOutputs$GR));
} else { IndOutputsMod <- which(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$IniResLevels[2]*ParamMod[3]; ### routing store level (mm)
} }
##Call_fortan
RESULTS <- .Fortran("frun_gr5j",PACKAGE="airGR",
##inputs
LInputs=LInputSeries, ### length of input and output series
InputsPrecip=CatchMeltAndPliq, ### input series of total precipitation [mm/d]
InputsPE=InputsModel$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$IniStates[1:NStatesMod], ### state variables used when the model run starts
NOutputs=as.integer(length(IndOutputsMod)), ### number of output series
IndOutputs=IndOutputsMod, ### indices of output series
##outputs
Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputsMod)), ### output series [mm]
StateEnd=rep(as.double(-999.999),NStatesMod) ### state variables at the end of the model run
)
RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,3)==(-999.999)] <- NA;
if (ExportStateEnd) { if (ExportStateEnd) {
RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location CemaNeigeStateEnd <- c(CemaNeigeStateEnd, RESULTS$StateEnd)
idNStates <- seq_len(NStates*NLayers) %% NStates
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_CemaNeigeGR5J, InputsModel = InputsModel, IsHyst = IsHyst,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = NULL, UH2 = RESULTS$StateEnd[(1:40)+(7+20)],
GCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 1]],
eTGCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 2]],
GthrCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 3]],
GlocmaxCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 0]],
verbose = FALSE)
} }
rm(RESULTS)
if(inherits(RunOptions,"CemaNeige")==TRUE & "Precip" %in% RunOptions$Outputs_Sim){ RESULTS$Outputs[,which(FortranOutputs$GR[IndOutputsMod]=="Precip")] <- InputsModel$Precip[IndPeriod1]; } } ### ENDFOR_iLayer
names(CemaNeigeLayers) <- sprintf("Layer%02i", seq_len(NLayers))
##Output_data_preparation } ### ENDIF_RunSnowModule
##OutputsModel_only if (inherits(RunOptions, "CemaNeige") == FALSE) {
if(ExportDatesR==FALSE & ExportStateEnd==FALSE){ CemaNeigeLayers <- list()
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), CemaNeigeStateEnd <- NULL
list(CemaNeigeLayers) ); NameCemaNeigeLayers <- NULL
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod],NameCemaNeigeLayers); } CatchMeltAndPliq <- InputsModel$Precip[IndPeriod1]
##DatesR_and_OutputsModel_only }
if(ExportDatesR==TRUE & ExportStateEnd==FALSE){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(CemaNeigeLayers) ); ## MODEL______________________________________________________________________________________
names(OutputsModel) <- c("DatesR",FortranOutputs$GR[IndOutputsMod],NameCemaNeigeLayers); } if ("all" %in% RunOptions$Outputs_Sim) {
##OutputsModel_and_SateEnd_only IndOutputsMod <- as.integer(1:length(FortranOutputs$GR))
if(ExportDatesR==FALSE & ExportStateEnd==TRUE){ } else {
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), IndOutputsMod <- which(FortranOutputs$GR %in% RunOptions$Outputs_Sim)
list(CemaNeigeLayers), }
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod],NameCemaNeigeLayers,"StateEnd"); } ## Use_of_IniResLevels
##DatesR_and_OutputsModel_and_SateEnd if (!is.null(RunOptions$IniResLevels)) {
if(ExportDatesR==TRUE & ExportStateEnd==TRUE){ RunOptions$IniStates[1] <- RunOptions$IniResLevels[1] * ParamMod[1] ### production store level (mm)
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]), RunOptions$IniStates[2] <- RunOptions$IniResLevels[2] * ParamMod[3] ### routing store level (mm)
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), }
list(CemaNeigeLayers),
list(RESULTS$StateEnd) ); ## Call_fortan
names(OutputsModel) <- c("DatesR",FortranOutputs$GR[IndOutputsMod],NameCemaNeigeLayers,"StateEnd"); } RESULTS <- .Fortran("frun_gr5j", PACKAGE = "airGR",
## inputs
##End LInputs = LInputSeries, ### length of input and output series
rm(RESULTS); InputsPrecip = CatchMeltAndPliq, ### input series of total precipitation [mm/d]
class(OutputsModel) <- c("OutputsModel","daily","GR","CemaNeige"); InputsPE = InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/d]
if(IsHyst) { NParam = NParamMod, ### number of model parameter
class(OutputsModel) <- c(class(OutputsModel), "hysteresis") Param = ParamMod, ### parameter set
} NStates = NStatesMod, ### number of state variables used for model initialising
return(OutputsModel); StateStart = RunOptions$IniStates[1:NStatesMod], ### state variables used when the model run starts
NOutputs = as.integer(length(IndOutputsMod)), ### number of output series
IndOutputs = IndOutputsMod, ### indices of output series
## outputs
Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm]
StateEnd = rep(as.double(-999.999), NStatesMod) ### state variables at the end of the model run
)
RESULTS$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
idNStates <- seq_len(NStates*NLayers) %% NStates
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_CemaNeigeGR5J, InputsModel = InputsModel, IsHyst = IsHyst,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = NULL, UH2 = RESULTS$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") == TRUE & "Precip" %in% RunOptions$Outputs_Sim) {
RESULTS$Outputs[,which(FortranOutputs$GR[IndOutputsMod] == "Precip")] <- InputsModel$Precip[IndPeriod1]
}
## Output_data_preparation
## OutputsModel_only
if (ExportDatesR == FALSE & ExportStateEnd == FALSE) {
OutputsModel <- c(lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(CemaNeigeLayers))
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers)
}
## DatesR_and_OutputsModel_only
if (ExportDatesR == TRUE & ExportStateEnd == FALSE) {
OutputsModel <- c(list(InputsModel$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_SateEnd_only
if (ExportDatesR == FALSE & ExportStateEnd == TRUE) {
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_SateEnd
if (ExportDatesR == TRUE & ExportStateEnd == TRUE) {
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)
} }
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