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Delaigue Olivier authored
v1.4.3.2 BUG: incorrect number of parameters in CemaNeige has been fixed in RunModel_CemaNeigeGR5H #13
bf70baf9
RunModel_CemaNeigeGR5H <- function(InputsModel,RunOptions,Param){ 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$Imax } else { Imax <- -99 } ##Arguments_check if(!inherits(InputsModel,"InputsModel")){ stop("'InputsModel' must be of class 'InputsModel'") } if(!inherits(InputsModel,"hourly" )){ stop("'InputsModel' must be of class 'hourly' ") } if(!inherits(InputsModel,"GR" )){ stop("'InputsModel' must be of class 'GR' ") } if(!inherits(InputsModel,"CemaNeige" )){ stop("'InputsModel' must be of class 'CemaNeige' ") } if(!inherits(RunOptions,"RunOptions" )){ stop("'RunOptions' must be of class 'RunOptions' ") } if(!inherits(RunOptions,"GR" )){ stop("'RunOptions' must be of class 'GR' ") } if(!inherits(RunOptions,"CemaNeige" )){ stop("'RunOptions' must be of class 'CemaNeige' ") } if(!is.vector(Param) | !is.numeric(Param)){ stop("'Param' must be a numeric vector") } if(sum(!is.na(Param))!=NParam){ stop(paste("'Param' must be a vector of length ",NParam," and contain no NA",sep="")) } Param <- as.double(Param); Param_X1X3_threshold <- 1e-2 Param_X4_threshold <- 0.5 if (Param[1L] < Param_X1X3_threshold) { warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X3_threshold, Param_X1X3_threshold)) Param[1L] <- Param_X1X3_threshold } if (Param[3L] < Param_X1X3_threshold) { warning(sprintf("Param[3] (X3: routing store capacity [mm]) < %.2f\n X3 set to %.2f", Param_X1X3_threshold, Param_X1X3_threshold)) Param[3L] <- Param_X1X3_threshold } if (Param[4L] < Param_X4_threshold) { warning(sprintf("Param[4] (X4: unit hydrograph time constant [h]) < %.2f\n X4 set to %.2f", Param_X4_threshold, Param_X4_threshold)) Param[4L] <- Param_X4_threshold } ##Input_data_preparation if(identical(RunOptions$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; } IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run); LInputSeries <- as.integer(length(IndPeriod1)) if("all" %in% RunOptions$Outputs_Sim){ IndOutputs <- as.integer(1:length(FortranOutputs)); } else { IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim); } ParamCemaNeige <- Param[(length(Param)-1-2*as.integer(IsHyst)):length(Param)]; NParamMod <- as.integer(length(Param)-(2+2*as.integer(IsHyst))); ParamMod <- Param[1:NParamMod]; NLayers <- length(InputsModel$LayerPrecip); NStatesMod <- as.integer(length(RunOptions$IniStates)-NStates*NLayers); ##Output_data_preparation IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries; ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim; ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim; ##SNOW_MODULE________________________________________________________________________________## if(inherits(RunOptions,"CemaNeige")){ 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$IniStates[(7 + 20*24 + 40*24) + c(iLayer, iLayer+NLayers)]7172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140
} else {
StateStartCemaNeige <- RunOptions$IniStates[(7 + 20*24 + 40*24) + c(iLayer, iLayer+NLayers, iLayer+2*NLayers, iLayer+3*NLayers)]
}
RESULTS <- .Fortran("frun_cemaneige",PACKAGE="airGR",
##inputs
LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$LayerPrecip[[iLayer]][IndPeriod1], ### input series of total precipitation [mm/h]
InputsFracSolidPrecip=InputsModel$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 initialisation = 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")){
CemaNeigeLayers <- list(); CemaNeigeStateEnd <- NULL; NameCemaNeigeLayers <- NULL;
CatchMeltAndPliq <- InputsModel$Precip[IndPeriod1]; }
##MODEL______________________________________________________________________________________##
##Use_of_IniResLevels
if(!is.null(RunOptions$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)
if(IsIntStore) {
RunOptions$IniStates[4] <- RunOptions$IniResLevels[4] * Imax; ### interception store level (mm)
}
}
##Call_fortan
RESULTS <- .Fortran("frun_gr5h",PACKAGE="airGR",
##inputs
LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/h]
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/h]
NParam=as.integer(length(Param)), ### number of model parameter
Param=Param, ### parameter set
NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising
StateStart=RunOptions$IniStates, ### state variables used when the model run starts
Imax=Imax, ### maximal capacity of interception store
NOutputs=as.integer(length(IndOutputs)), ### number of output series
IndOutputs=IndOutputs, ### indices of output series
##outputs
Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm or mm/h]
StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,3)==(-999.999)] <- NA;
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if (ExportStateEnd) {
RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR5H, InputsModel = InputsModel, IsHyst = IsHyst,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
IntStore = RESULTS$StateEnd[4L],
UH1 = NULL, UH2 = RESULTS$StateEnd[(1:(40*24))+(7+20*24)],
GCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 1]],
eTGCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 2]],
GthrCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 3]],
GlocmaxCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 0]],
verbose = FALSE)
}
if(inherits(RunOptions,"CemaNeige") & "Precip" %in% RunOptions$Outputs_Sim){ RESULTS$Outputs[,which(FortranOutputs$GR[IndOutputsMod]=="Precip")] <- InputsModel$Precip[IndPeriod1]; }
##Output_data_preparation
##OutputsModel_only
##OutputsModel_only
if(!ExportDatesR & !ExportStateEnd){
OutputsModel <- c( lapply(seq_len(RESULTS$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$GR[IndOutputsMod],NameCemaNeigeLayers); }
##OutputsModel_and_SateEnd_only
if(!ExportDatesR & ExportStateEnd){
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(CemaNeigeLayers),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs$GR[IndOutputsMod],NameCemaNeigeLayers,"StateEnd"); }
##DatesR_and_OutputsModel_and_SateEnd
if( ExportDatesR & ExportStateEnd){
OutputsModel <- c( list(InputsModel$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);
}