RunModel_CemaNeigeGR5J <- function(InputsModel,RunOptions,Param){ NParam <- 7; FortranOutputsCemaNeige <- c("Pliq","Psol","SnowPack","ThermalState","Gratio","PotMelt","Melt","PliqAndMelt", "Temp"); FortranOutputsMod <- c("PotEvap", "Precip", "Prod", "Pn", "Ps", "AE", "Perc", "PR", "Q9", "Q1", "Rout", "Exch", "AExch1", "AExch2", "AExch", "QR", "QD", "Qsim"); ##Arguments_check if(inherits(InputsModel,"InputsModel")==FALSE){ stop("InputsModel must be of class 'InputsModel' \n"); return(NULL); } if(inherits(InputsModel,"daily" )==FALSE){ stop("InputsModel must be of class 'daily' \n"); return(NULL); } if(inherits(InputsModel,"GR" )==FALSE){ stop("InputsModel must be of class 'GR' \n"); return(NULL); } if(inherits(InputsModel,"CemaNeige" )==FALSE){ stop("InputsModel must be of class 'CemaNeige' \n"); return(NULL); } if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("RunOptions must be of class 'RunOptions' \n"); return(NULL); } if(inherits(RunOptions,"GR" )==FALSE){ stop("RunOptions must be of class 'GR' \n"); return(NULL); } if(inherits(RunOptions,"CemaNeige" )==FALSE){ stop("RunOptions must be of class 'CemaNeige' \n"); return(NULL); } if(!is.vector(Param) | !is.numeric(Param)){ stop("Param must be a numeric vector \n"); return(NULL); } if(sum(!is.na(Param))!=NParam){ stop(paste("Param must be a vector of length ",NParam," and contain no NA \n",sep="")); return(NULL); } 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$IndPeriod_WarmUp)+1):LInputSeries; ParamCemaNeige <- Param[(length(Param)-1):length(Param)]; NParamMod <- as.integer(length(Param)-2); ParamMod <- Param[1:NParamMod]; NLayers <- length(InputsModel$LayerPrecip); NStatesMod <- as.integer(length(RunOptions$IniStates)-2*NLayers); ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim; ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim; ##SNOW_MODULE________________________________________________________________________________## if(RunOptions$RunSnowModule==TRUE){ if("all" %in% RunOptions$Outputs_Sim){ IndOutputsCemaNeige <- as.integer(1:length(FortranOutputsCemaNeige)); } else { IndOutputsCemaNeige <- which(FortranOutputsCemaNeige %in% RunOptions$Outputs_Sim); } CemaNeigeLayers <- list(); CemaNeigeStateEnd <- NULL; NameCemaNeigeLayers <- "CemaNeigeLayers"; ##Call_DLL_CemaNeige_________________________ for(iLayer in 1:NLayers){ StateStartCemaNeige <- RunOptions$IniStates[(7+20+40) + c(iLayer, iLayer+NLayers)] RESULTS <- .Fortran("frun_CemaNeige",PACKAGE="airGR", ##inputs LInputs=LInputSeries, ### length of input and output series InputsPrecip=InputsModel$LayerPrecip[[iLayer]][IndPeriod1], ### input series of total precipitation [mm/d] 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$MeanAnSolidPrecip[iLayer], ### value of annual mean solid precip [mm/y] NParam=as.integer(2), ### number of model parameter = 2 Param=ParamCemaNeige, ### parameter set NStates=as.integer(2), ### number of state variables used for model initialising = 2 StateStart=StateStartCemaNeige, ### state variables used when the model run starts NOutputs=as.integer(length(IndOutputsCemaNeige)), ### number of output series IndOutputs=IndOutputsCemaNeige, ### indices of output series ##outputs Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputsCemaNeige)), ### output series [mm] StateEnd=rep(as.double(-999.999),as.integer(2)) ### state variables at the end of the model run (reservoir levels [mm] and HU) ) RESULTS$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$Outputs[IndPeriod2,i]); names(CemaNeigeLayers[[iLayer]]) <- FortranOutputsCemaNeige[IndOutputsCemaNeige]; IndPliqAndMelt <- which(names(CemaNeigeLayers[[iLayer]]) == "PliqAndMelt"); if(iLayer==1){ CatchMeltAndPliq <- RESULTS$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) <- paste("Layer",formatC(1:NLayers,width=2,flag="0"),sep=""); } ###ENDIF_RunSnowModule if(RunOptions$RunSnowModule==FALSE){ CemaNeigeLayers <- list(); CemaNeigeStateEnd <- NULL; NameCemaNeigeLayers <- NULL; CatchMeltAndPliq <- InputsModel$Precip[IndPeriod1]; } ##MODEL______________________________________________________________________________________## if("all" %in% RunOptions$Outputs_Sim){ IndOutputsMod <- as.integer(1:length(FortranOutputsMod)); } else { IndOutputsMod <- which(FortranOutputsMod %in% RunOptions$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$StateEnd,3)==(-999.999)] <- NA; RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_CemaNeigeGR5J, InputsModel = InputsModel, ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL, UH1 = NULL, UH2 = RESULTS$StateEnd[(1:40)+(7+20)], GCemaNeigeLayers = CemaNeigeStateEnd[seq_len(2*NLayers)[seq_len(2*NLayers) %%2 == 1]], eTGCemaNeigeLayers = CemaNeigeStateEnd[seq_len(2*NLayers)[seq_len(2*NLayers) %%2 == 0]], verbose = FALSE) if(RunOptions$RunSnowModule & "Precip" %in% RunOptions$Outputs_Sim){ RESULTS$Outputs[,which(FortranOutputsMod[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$Outputs[IndPeriod2,i]), list(CemaNeigeLayers) ); names(OutputsModel) <- c(FortranOutputsMod[IndOutputsMod],NameCemaNeigeLayers); } ##DatesR_and_OutputsModel_only if(ExportDatesR==TRUE & ExportStateEnd==FALSE){ OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]), lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), list(CemaNeigeLayers) ); names(OutputsModel) <- c("DatesR",FortranOutputsMod[IndOutputsMod],NameCemaNeigeLayers); } ##OutputsModel_and_SateEnd_only if(ExportDatesR==FALSE & ExportStateEnd==TRUE){ OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), list(CemaNeigeLayers), list(RESULTS$StateEnd) ); names(OutputsModel) <- c(FortranOutputsMod[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",FortranOutputsMod[IndOutputsMod],NameCemaNeigeLayers,"StateEnd"); } ##End rm(RESULTS); class(OutputsModel) <- c("OutputsModel","daily","GR","CemaNeige"); return(OutputsModel); }