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Commit c1e540b4 authored by Delaigue Olivier's avatar Delaigue Olivier
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v1.6.3.48 style: indent RunModel_GR* functions 

Refs #14
parent 5a131e5a
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: 1.6.3.47 Version: 1.6.3.48
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 @@
### 1.6.3.47 Release Notes (2020-11-11) ### 1.6.3.48 Release Notes (2020-11-11)
#### New features #### New features
......
R/RunModel_GR2M.R
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RunModel_GR2M <- function(InputsModel,RunOptions,Param){ RunModel_GR2M <- function(InputsModel,RunOptions,Param){
NParam <- 2; NParam <- 2;
FortranOutputs <- .FortranOutputs(GR = "GR2M")$GR FortranOutputs <- .FortranOutputs(GR = "GR2M")$GR
##Arguments_check ##Arguments_check
if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") } if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") }
if(inherits(InputsModel,"monthly" )==FALSE){ stop("'InputsModel' must be of class 'monthly' ") } if(inherits(InputsModel,"monthly" )==FALSE){ stop("'InputsModel' must be of class 'monthly' ") }
if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") } if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") }
if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") } if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") }
if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") } if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") }
if(!is.vector(Param) | !is.numeric(Param)){ stop("'Param' must be a numeric vector") } 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="")) } 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 <- as.double(Param);
Param_X1X2_threshold <- 1e-2 Param_X1X2_threshold <- 1e-2
if (Param[1L] < Param_X1X2_threshold) { if (Param[1L] < Param_X1X2_threshold) {
warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X2_threshold, Param_X1X2_threshold)) warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X2_threshold, Param_X1X2_threshold))
Param[1L] <- Param_X1X2_threshold Param[1L] <- Param_X1X2_threshold
} }
if (Param[2L] < Param_X1X2_threshold) { if (Param[2L] < Param_X1X2_threshold) {
warning(sprintf("Param[2] (X2: routing store capacity [mm]) < %.2f\n X2 set to %.2f", Param_X1X2_threshold, Param_X1X2_threshold)) warning(sprintf("Param[2] (X2: routing store capacity [mm]) < %.2f\n X2 set to %.2f", Param_X1X2_threshold, Param_X1X2_threshold))
Param[2L] <- Param_X1X2_threshold Param[2L] <- Param_X1X2_threshold
} }
##Input_data_preparation ##Input_data_preparation
if(identical(RunOptions$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; } if(identical(RunOptions$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; }
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run); IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run);
LInputSeries <- as.integer(length(IndPeriod1)) LInputSeries <- as.integer(length(IndPeriod1))
if("all" %in% RunOptions$Outputs_Sim){ IndOutputs <- as.integer(1:length(FortranOutputs)); if("all" %in% RunOptions$Outputs_Sim){ IndOutputs <- as.integer(1:length(FortranOutputs));
} else { IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim); } } else { IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim); }
##Output_data_preparation ##Output_data_preparation
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries; IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries;
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim; ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim;
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim; ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim;
##Use_of_IniResLevels ##Use_of_IniResLevels
if(!is.null(RunOptions$IniResLevels)){ if(!is.null(RunOptions$IniResLevels)){
RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm) RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm)
RunOptions$IniStates[2] <- RunOptions$IniResLevels[2]*Param[2]; ### routing store level (mm) RunOptions$IniStates[2] <- RunOptions$IniResLevels[2]*Param[2]; ### routing store level (mm)
} }
##Call_fortan ##Call_fortan
RESULTS <- .Fortran("frun_gr2M",PACKAGE="airGR", RESULTS <- .Fortran("frun_gr2M",PACKAGE="airGR",
##inputs ##inputs
LInputs=LInputSeries, ### length of input and output series LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/month] InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/month]
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/month] InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/month]
NParam=as.integer(length(Param)), ### number of model parameter NParam=as.integer(length(Param)), ### number of model parameter
Param=Param, ### parameter set Param=Param, ### parameter set
NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising
StateStart=RunOptions$IniStates, ### state variables used when the model run starts StateStart=RunOptions$IniStates, ### state variables used when the model run starts
NOutputs=as.integer(length(IndOutputs)), ### number of output series NOutputs=as.integer(length(IndOutputs)), ### number of output series
IndOutputs=IndOutputs, ### indices of output series IndOutputs=IndOutputs, ### indices of output series
##outputs ##outputs
Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm] Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
) )
RESULTS$Outputs [round(RESULTS$Outputs ,3)==(-999.999)] <- NA; RESULTS$Outputs [round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,3)==(-999.999)] <- NA; RESULTS$StateEnd[round(RESULTS$StateEnd,3)==(-999.999)] <- NA;
if (ExportStateEnd) { if (ExportStateEnd) {
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR2M, InputsModel = InputsModel, RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR2M, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL, ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = NULL, UH2 = NULL, UH1 = NULL, UH2 = NULL,
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL, GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE) verbose = FALSE)
} }
##Output_data_preparation ##Output_data_preparation
##OutputsModel_only ##OutputsModel_only
if(ExportDatesR==FALSE & ExportStateEnd==FALSE){ if(ExportDatesR==FALSE & ExportStateEnd==FALSE){
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]); OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
names(OutputsModel) <- FortranOutputs[IndOutputs]; } names(OutputsModel) <- FortranOutputs[IndOutputs]; }
##DatesR_and_OutputsModel_only ##DatesR_and_OutputsModel_only
if(ExportDatesR==TRUE & ExportStateEnd==FALSE){ if(ExportDatesR==TRUE & ExportStateEnd==FALSE){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]), OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) ); lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); } names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
##OutputsModel_and_SateEnd_only ##OutputsModel_and_SateEnd_only
if(ExportDatesR==FALSE & ExportStateEnd==TRUE){ if(ExportDatesR==FALSE & ExportStateEnd==TRUE){
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) ); list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); } names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
##DatesR_and_OutputsModel_and_SateEnd ##DatesR_and_OutputsModel_and_SateEnd
if((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim){ if((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]), OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) ); list(RESULTS$StateEnd) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); } names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); }
##End ##End
rm(RESULTS); rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","monthly","GR"); class(OutputsModel) <- c("OutputsModel","monthly","GR");
return(OutputsModel); return(OutputsModel);
} }
R/RunModel_GR4H.R
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RunModel_GR4H <- function(InputsModel,RunOptions,Param){ RunModel_GR4H <- function(InputsModel,RunOptions,Param){
NParam <- 4; NParam <- 4;
FortranOutputs <- .FortranOutputs(GR = "GR4H")$GR FortranOutputs <- .FortranOutputs(GR = "GR4H")$GR
##Arguments_check ##Arguments_check
if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") } if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") }
if(inherits(InputsModel,"hourly" )==FALSE){ stop("'InputsModel' must be of class 'hourly' ") } if(inherits(InputsModel,"hourly" )==FALSE){ stop("'InputsModel' must be of class 'hourly' ") }
if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") } if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") }
if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") } if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") }
if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") } if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") }
if(!is.vector(Param) | !is.numeric(Param)){ stop("'Param' must be a numeric vector") } 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="")) } 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 <- 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) {
warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X3_threshold, 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 Param[1L] <- Param_X1X3_threshold
} }
if (Param[3L] < 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)) 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 Param[3L] <- Param_X1X3_threshold
} }
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$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; } if(identical(RunOptions$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; }
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run); IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run);
LInputSeries <- as.integer(length(IndPeriod1)) LInputSeries <- as.integer(length(IndPeriod1))
if("all" %in% RunOptions$Outputs_Sim){ IndOutputs <- as.integer(1:length(FortranOutputs)); if("all" %in% RunOptions$Outputs_Sim){ IndOutputs <- as.integer(1:length(FortranOutputs));
} else { IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim); } } else { IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim); }
##Output_data_preparation ##Output_data_preparation
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries; IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries;
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim; ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim;
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim; ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim;
##Use_of_IniResLevels ##Use_of_IniResLevels
if(!is.null(RunOptions$IniResLevels)){ if(!is.null(RunOptions$IniResLevels)){
RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm) 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$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3]; ### routing store level (mm)
} }
##Call_fortan ##Call_fortan
RESULTS <- .Fortran("frun_gr4h",PACKAGE="airGR", RESULTS <- .Fortran("frun_gr4h",PACKAGE="airGR",
##inputs ##inputs
LInputs=LInputSeries, ### length of input and output series LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/h] InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/h]
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/h] InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/h]
NParam=as.integer(length(Param)), ### number of model parameter NParam=as.integer(length(Param)), ### number of model parameter
Param=Param, ### parameter set Param=Param, ### parameter set
NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising
StateStart=RunOptions$IniStates, ### state variables used when the model run starts StateStart=RunOptions$IniStates, ### state variables used when the model run starts
NOutputs=as.integer(length(IndOutputs)), ### number of output series NOutputs=as.integer(length(IndOutputs)), ### number of output series
IndOutputs=IndOutputs, ### indices of output series IndOutputs=IndOutputs, ### indices of output series
##outputs ##outputs
Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm] Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
) )
RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA; RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,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$StateEnd[-3L]) ### remove negative values except for the ExpStore location RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR4H, InputsModel = InputsModel, RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR4H, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL, ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = RESULTS$StateEnd[(1:(20*24))+7], UH2 = RESULTS$StateEnd[(1:(40*24))+(7+20*24)], UH1 = RESULTS$StateEnd[(1:(20*24))+7], UH2 = RESULTS$StateEnd[(1:(40*24))+(7+20*24)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL, GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE) verbose = FALSE)
} }
##Output_data_preparation ##Output_data_preparation
##OutputsModel_only ##OutputsModel_only
if(ExportDatesR==FALSE & ExportStateEnd==FALSE){ if(ExportDatesR==FALSE & ExportStateEnd==FALSE){
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]); OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
names(OutputsModel) <- FortranOutputs[IndOutputs]; } names(OutputsModel) <- FortranOutputs[IndOutputs]; }
##DatesR_and_OutputsModel_only ##DatesR_and_OutputsModel_only
if(ExportDatesR==TRUE & ExportStateEnd==FALSE){ if(ExportDatesR==TRUE & ExportStateEnd==FALSE){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]), OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) ); lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); } names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
##OutputsModel_and_SateEnd_only ##OutputsModel_and_SateEnd_only
if(ExportDatesR==FALSE & ExportStateEnd==TRUE){ if(ExportDatesR==FALSE & ExportStateEnd==TRUE){
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) ); list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); } names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
##DatesR_and_OutputsModel_and_SateEnd ##DatesR_and_OutputsModel_and_SateEnd
if((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim){ if((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]), OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) ); list(RESULTS$StateEnd) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); } names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); }
##End ##End
rm(RESULTS); rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","hourly","GR"); class(OutputsModel) <- c("OutputsModel","hourly","GR");
return(OutputsModel); return(OutputsModel);
} }
R/RunModel_GR4J.R
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RunModel_GR4J <- function(InputsModel,RunOptions,Param){ RunModel_GR4J <- function(InputsModel,RunOptions,Param){
NParam <- 4; NParam <- 4;
FortranOutputs <- .FortranOutputs(GR = "GR4J")$GR FortranOutputs <- .FortranOutputs(GR = "GR4J")$GR
##Arguments_check ##Arguments_check
if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") } if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") }
if(inherits(InputsModel,"daily" )==FALSE){ stop("'InputsModel' must be of class 'daily' ") } if(inherits(InputsModel,"daily" )==FALSE){ stop("'InputsModel' must be of class 'daily' ") }
if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") } if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") }
if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") } if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") }
if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") } if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") }
if(!is.vector(Param) | !is.numeric(Param)){ stop("'Param' must be a numeric vector") } 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="")) } 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 <- 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) {
warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X3_threshold, 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 Param[1L] <- Param_X1X3_threshold
} }
if (Param[3L] < 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)) 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 Param[3L] <- Param_X1X3_threshold
} }
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$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; } if(identical(RunOptions$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; }
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run); IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run);
LInputSeries <- as.integer(length(IndPeriod1)) LInputSeries <- as.integer(length(IndPeriod1))
if("all" %in% RunOptions$Outputs_Sim){ IndOutputs <- as.integer(1:length(FortranOutputs)); if("all" %in% RunOptions$Outputs_Sim){ IndOutputs <- as.integer(1:length(FortranOutputs));
} else { IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim); } } else { IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim); }
##Input_data_preparation ##Input_data_preparation
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries; IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries;
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim; ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim;
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim; ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim;
##Use_of_IniResLevels ##Use_of_IniResLevels
if(!is.null(RunOptions$IniResLevels)){ if(!is.null(RunOptions$IniResLevels)){
RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm) 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$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3]; ### routing store level (mm)
} }
##Call_fortan ##Call_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=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d] InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d]
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/d] InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/d]
NParam=as.integer(length(Param)), ### number of model parameter NParam=as.integer(length(Param)), ### number of model parameter
Param=Param, ### parameter set Param=Param, ### parameter set
NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising
StateStart=RunOptions$IniStates, ### state variables used when the model run starts StateStart=RunOptions$IniStates, ### state variables used when the model run starts
NOutputs=as.integer(length(IndOutputs)), ### number of output series NOutputs=as.integer(length(IndOutputs)), ### number of output series
IndOutputs=IndOutputs, ### indices of output series IndOutputs=IndOutputs, ### indices of output series
##outputs ##outputs
Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm] Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
) )
RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA; RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,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$StateEnd[-3L]) ### remove negative values except for the ExpStore location RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR4J, InputsModel = InputsModel, RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR4J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL, ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = RESULTS$StateEnd[(1:20)+7], UH2 = RESULTS$StateEnd[(1:40)+(7+20)], UH1 = RESULTS$StateEnd[(1:20)+7], UH2 = RESULTS$StateEnd[(1:40)+(7+20)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL, GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE) verbose = FALSE)
} }
##Output_data_preparation ##Output_data_preparation
##OutputsModel_only ##OutputsModel_only
if(ExportDatesR==FALSE & ExportStateEnd==FALSE){ if(ExportDatesR==FALSE & ExportStateEnd==FALSE){
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]); OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
names(OutputsModel) <- FortranOutputs[IndOutputs]; } names(OutputsModel) <- FortranOutputs[IndOutputs]; }
##DatesR_and_OutputsModel_only ##DatesR_and_OutputsModel_only
if(ExportDatesR==TRUE & ExportStateEnd==FALSE){ if(ExportDatesR==TRUE & ExportStateEnd==FALSE){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]), OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) ); lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); } names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
##OutputsModel_and_StateEnd_only ##OutputsModel_and_StateEnd_only
if(ExportDatesR==FALSE & ExportStateEnd==TRUE){ if(ExportDatesR==FALSE & ExportStateEnd==TRUE){
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) ); list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); } names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
##DatesR_and_OutputsModel_and_StateEnd ##DatesR_and_OutputsModel_and_StateEnd
if((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim){ if((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]), OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) ); list(RESULTS$StateEnd) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); } names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); }
##End ##End
rm(RESULTS); rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","daily","GR"); class(OutputsModel) <- c("OutputsModel","daily","GR");
return(OutputsModel); return(OutputsModel);
} }
R/RunModel_GR5H.R
+ 113
− 113
View file @ c1e540b4
RunModel_GR5H <- function(InputsModel,RunOptions,Param){ RunModel_GR5H <- function(InputsModel,RunOptions,Param){
NParam <- 5; NParam <- 5;
FortranOutputs <- .FortranOutputs(GR = "GR5H")$GR FortranOutputs <- .FortranOutputs(GR = "GR5H")$GR
IsIntStore <- inherits(RunOptions, "interception") IsIntStore <- inherits(RunOptions, "interception")
if(IsIntStore) {
Imax <- RunOptions$Imax
} else {
Imax <- -99
}
##Arguments_check
if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") }
if(inherits(InputsModel,"hourly" )==FALSE){ stop("'InputsModel' must be of class 'hourly' ") }
if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") }
if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") }
if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") }
if(!is.vector(Param) | !is.numeric(Param)){ stop("'Param' must be a numeric vector") }
if(sum(!is.na(Param))!=NParam){ stop(paste("'Param' must be a vector of length ",NParam," and contain no NA",sep="")) }
Param <- as.double(Param);
Param_X1X3_threshold <- 1e-2
Param_X4_threshold <- 0.5
if (Param[1L] < Param_X1X3_threshold) {
warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X3_threshold, Param_X1X3_threshold))
Param[1L] <- Param_X1X3_threshold
}
if (Param[3L] < Param_X1X3_threshold) {
warning(sprintf("Param[3] (X3: routing store capacity [mm]) < %.2f\n X3 set to %.2f", Param_X1X3_threshold, Param_X1X3_threshold))
Param[3L] <- Param_X1X3_threshold
}
if (Param[4L] < Param_X4_threshold) {
warning(sprintf("Param[4] (X4: unit hydrograph time constant [h]) < %.2f\n X4 set to %.2f", Param_X4_threshold, Param_X4_threshold))
Param[4L] <- Param_X4_threshold
}
##Input_data_preparation
if(identical(RunOptions$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$Outputs_Sim); }
##Output_data_preparation
IndPeriod2 <- (length(RunOptions$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$IniResLevels[2]*Param[3]; ### routing store level (mm)
if(IsIntStore) { if(IsIntStore) {
Imax <- RunOptions$Imax RunOptions$IniStates[4] <- RunOptions$IniResLevels[4] * Imax; ### interception store level (mm)
} else {
Imax <- -99
} }
}
##Arguments_check
if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") } ##Call_fortan
if(inherits(InputsModel,"hourly" )==FALSE){ stop("'InputsModel' must be of class 'hourly' ") } RESULTS <- .Fortran("frun_gr5h",PACKAGE="airGR",
if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") } ##inputs
if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") } LInputs=LInputSeries, ### length of input and output series
if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") } InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/h]
if(!is.vector(Param) | !is.numeric(Param)){ stop("'Param' must be a numeric vector") } InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/h]
if(sum(!is.na(Param))!=NParam){ stop(paste("'Param' must be a vector of length ",NParam," and contain no NA",sep="")) } NParam=as.integer(length(Param)), ### number of model parameter
Param <- as.double(Param); Param=Param, ### parameter set
NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising
Param_X1X3_threshold <- 1e-2 StateStart=RunOptions$IniStates, ### state variables used when the model run starts
Param_X4_threshold <- 0.5 Imax=Imax, ### maximal capacity of interception store
if (Param[1L] < Param_X1X3_threshold) { NOutputs=as.integer(length(IndOutputs)), ### number of output series
warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X3_threshold, Param_X1X3_threshold)) IndOutputs=IndOutputs, ### indices of output series
Param[1L] <- Param_X1X3_threshold ##outputs
} Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm or mm/h]
if (Param[3L] < Param_X1X3_threshold) { StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
warning(sprintf("Param[3] (X3: routing store capacity [mm]) < %.2f\n X3 set to %.2f", Param_X1X3_threshold, Param_X1X3_threshold)) )
Param[3L] <- Param_X1X3_threshold RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
} RESULTS$StateEnd[round(RESULTS$StateEnd,3)==(-999.999)] <- NA;
if (Param[4L] < Param_X4_threshold) { if (ExportStateEnd) {
warning(sprintf("Param[4] (X4: unit hydrograph time constant [h]) < %.2f\n X4 set to %.2f", Param_X4_threshold, Param_X4_threshold)) RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
Param[4L] <- Param_X4_threshold RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR5H, InputsModel = InputsModel,
} ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
IntStore = RESULTS$StateEnd[4L],
##Input_data_preparation UH1 = NULL, UH2 = RESULTS$StateEnd[(1:(40*24))+(7+20*24)],
if(identical(RunOptions$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; } GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run); verbose = FALSE)
LInputSeries <- as.integer(length(IndPeriod1)) }
if("all" %in% RunOptions$Outputs_Sim){ IndOutputs <- as.integer(1:length(FortranOutputs));
} else { IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim); } ##Output_data_preparation
##OutputsModel_only
##Output_data_preparation if(ExportDatesR==FALSE & ExportStateEnd==FALSE){
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries; OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim; names(OutputsModel) <- FortranOutputs[IndOutputs]; }
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim; ##DatesR_and_OutputsModel_only
if(ExportDatesR==TRUE & ExportStateEnd==FALSE){
##Use_of_IniResLevels OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
if(!is.null(RunOptions$IniResLevels)){ lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) );
RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm) names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
RunOptions$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3]; ### routing store level (mm) ##OutputsModel_and_StateEnd_only
if(IsIntStore) { if(ExportDatesR==FALSE & ExportStateEnd==TRUE){
RunOptions$IniStates[4] <- RunOptions$IniResLevels[4] * Imax; ### interception store level (mm) OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
} list(RESULTS$StateEnd) );
} names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
##DatesR_and_OutputsModel_and_StateEnd
##Call_fortan if((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim){
RESULTS <- .Fortran("frun_gr5h",PACKAGE="airGR", OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
##inputs lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
LInputs=LInputSeries, ### length of input and output series list(RESULTS$StateEnd) );
InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/h] names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); }
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/h]
NParam=as.integer(length(Param)), ### number of model parameter ##End
Param=Param, ### parameter set rm(RESULTS);
NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising class(OutputsModel) <- c("OutputsModel","hourly","GR");
StateStart=RunOptions$IniStates, ### state variables used when the model run starts if(IsIntStore) {
Imax=Imax, ### maximal capacity of interception store class(OutputsModel) <- c(class(OutputsModel), "interception")
NOutputs=as.integer(length(IndOutputs)), ### number of output series }
IndOutputs=IndOutputs, ### indices of output series return(OutputsModel);
##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$StateEnd,3)==(-999.999)] <- NA;
if (ExportStateEnd) {
RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR5H, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
IntStore = RESULTS$StateEnd[4L],
UH1 = NULL, UH2 = RESULTS$StateEnd[(1:(40*24))+(7+20*24)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE)
}
##Output_data_preparation
##OutputsModel_only
if(ExportDatesR==FALSE & ExportStateEnd==FALSE){
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
names(OutputsModel) <- FortranOutputs[IndOutputs]; }
##DatesR_and_OutputsModel_only
if(ExportDatesR==TRUE & ExportStateEnd==FALSE){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
##OutputsModel_and_StateEnd_only
if(ExportDatesR==FALSE & ExportStateEnd==TRUE){
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
##DatesR_and_OutputsModel_and_StateEnd
if((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "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);
} }
R/RunModel_GR5J.R
+ 101
− 101
View file @ c1e540b4
RunModel_GR5J <- function(InputsModel,RunOptions,Param){ RunModel_GR5J <- function(InputsModel,RunOptions,Param){
NParam <- 5; NParam <- 5;
FortranOutputs <- .FortranOutputs(GR = "GR5J")$GR FortranOutputs <- .FortranOutputs(GR = "GR5J")$GR
##Arguments_check ##Arguments_check
if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") } if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") }
if(inherits(InputsModel,"daily" )==FALSE){ stop("'InputsModel' must be of class 'daily' ") } if(inherits(InputsModel,"daily" )==FALSE){ stop("'InputsModel' must be of class 'daily' ") }
if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") } if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") }
if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") } if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") }
if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") } if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") }
if(!is.vector(Param) | !is.numeric(Param)){ stop("'Param' must be a numeric vector") } 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="")) } 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 <- 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) {
warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X3_threshold, 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 Param[1L] <- Param_X1X3_threshold
} }
if (Param[3L] < 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)) 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 Param[3L] <- Param_X1X3_threshold
} }
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$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; } if(identical(RunOptions$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; }
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run); IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run);
LInputSeries <- as.integer(length(IndPeriod1)) LInputSeries <- as.integer(length(IndPeriod1))
if("all" %in% RunOptions$Outputs_Sim){ IndOutputs <- as.integer(1:length(FortranOutputs)); if("all" %in% RunOptions$Outputs_Sim){ IndOutputs <- as.integer(1:length(FortranOutputs));
} else { IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim); } } else { IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim); }
##Output_data_preparation ##Output_data_preparation
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries; IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries;
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim; ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim;
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim; ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim;
##Use_of_IniResLevels ##Use_of_IniResLevels
if(!is.null(RunOptions$IniResLevels)){ if(!is.null(RunOptions$IniResLevels)){
RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm) 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$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3]; ### routing store level (mm)
} }
##Call_fortan ##Call_fortan
RESULTS <- .Fortran("frun_gr5j",PACKAGE="airGR", RESULTS <- .Fortran("frun_gr5j",PACKAGE="airGR",
##inputs ##inputs
LInputs=LInputSeries, ### length of input and output series LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d] InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d]
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/d] InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/d]
NParam=as.integer(length(Param)), ### number of model parameter NParam=as.integer(length(Param)), ### number of model parameter
Param=Param, ### parameter set Param=Param, ### parameter set
NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising
StateStart=RunOptions$IniStates, ### state variables used when the model run starts StateStart=RunOptions$IniStates, ### state variables used when the model run starts
NOutputs=as.integer(length(IndOutputs)), ### number of output series NOutputs=as.integer(length(IndOutputs)), ### number of output series
IndOutputs=IndOutputs, ### indices of output series IndOutputs=IndOutputs, ### indices of output series
##outputs ##outputs
Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm] Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
) )
RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA; RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,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$StateEnd[-3L]) ### remove negative values except for the ExpStore location RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR5J, InputsModel = InputsModel, RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR5J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL, ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = NULL, UH2 = RESULTS$StateEnd[(1:40)+(7+20)], UH1 = NULL, UH2 = RESULTS$StateEnd[(1:40)+(7+20)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL, GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE) verbose = FALSE)
} }
##Output_data_preparation ##Output_data_preparation
##OutputsModel_only ##OutputsModel_only
if(ExportDatesR==FALSE & ExportStateEnd==FALSE){ if(ExportDatesR==FALSE & ExportStateEnd==FALSE){
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]); OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
names(OutputsModel) <- FortranOutputs[IndOutputs]; } names(OutputsModel) <- FortranOutputs[IndOutputs]; }
##DatesR_and_OutputsModel_only ##DatesR_and_OutputsModel_only
if(ExportDatesR==TRUE & ExportStateEnd==FALSE){ if(ExportDatesR==TRUE & ExportStateEnd==FALSE){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]), OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) ); lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); } names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
##OutputsModel_and_SateEnd_only ##OutputsModel_and_SateEnd_only
if(ExportDatesR==FALSE & ExportStateEnd==TRUE){ if(ExportDatesR==FALSE & ExportStateEnd==TRUE){
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) ); list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); } names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
##DatesR_and_OutputsModel_and_SateEnd ##DatesR_and_OutputsModel_and_SateEnd
if((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim){ if((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]), OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) ); list(RESULTS$StateEnd) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); } names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); }
##End ##End
rm(RESULTS); rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","daily","GR"); class(OutputsModel) <- c("OutputsModel","daily","GR");
return(OutputsModel); return(OutputsModel);
} }
R/RunModel_GR6J.R
+ 106
− 107
View file @ c1e540b4
RunModel_GR6J <- function(InputsModel,RunOptions,Param){ RunModel_GR6J <- function(InputsModel,RunOptions,Param){
NParam <- 6; NParam <- 6;
FortranOutputs <- .FortranOutputs(GR = "GR6J")$GR FortranOutputs <- .FortranOutputs(GR = "GR6J")$GR
##Arguments_check ##Arguments_check
if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") } if(inherits(InputsModel,"InputsModel")==FALSE){ stop("'InputsModel' must be of class 'InputsModel'") }
if(inherits(InputsModel,"daily" )==FALSE){ stop("'InputsModel' must be of class 'daily' ") } if(inherits(InputsModel,"daily" )==FALSE){ stop("'InputsModel' must be of class 'daily' ") }
if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") } if(inherits(InputsModel,"GR" )==FALSE){ stop("'InputsModel' must be of class 'GR' ") }
if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") } if(inherits(RunOptions,"RunOptions" )==FALSE){ stop("'RunOptions' must be of class 'RunOptions' ") }
if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") } if(inherits(RunOptions,"GR" )==FALSE){ stop("'RunOptions' must be of class 'GR' ") }
if(!is.vector(Param) | !is.numeric(Param)){ stop("'Param' must be a numeric vector") } 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="")) } 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 <- as.double(Param);
Param_X1X3X6_threshold <- 1e-2 Param_X1X3X6_threshold <- 1e-2
Param_X4_threshold <- 0.5 Param_X4_threshold <- 0.5
if (Param[1L] < Param_X1X3X6_threshold) { if (Param[1L] < Param_X1X3X6_threshold) {
warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X3X6_threshold, Param_X1X3X6_threshold)) warning(sprintf("Param[1] (X1: production store capacity [mm]) < %.2f\n X1 set to %.2f", Param_X1X3X6_threshold, Param_X1X3X6_threshold))
Param[1L] <- Param_X1X3X6_threshold Param[1L] <- Param_X1X3X6_threshold
} }
if (Param[3L] < Param_X1X3X6_threshold) { if (Param[3L] < Param_X1X3X6_threshold) {
warning(sprintf("Param[3] (X3: routing store capacity [mm]) < %.2f\n X3 set to %.2f", Param_X1X3X6_threshold, Param_X1X3X6_threshold)) warning(sprintf("Param[3] (X3: routing store capacity [mm]) < %.2f\n X3 set to %.2f", Param_X1X3X6_threshold, Param_X1X3X6_threshold))
Param[3L] <- Param_X1X3X6_threshold Param[3L] <- Param_X1X3X6_threshold
} }
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
} }
if (Param[6L] < Param_X1X3X6_threshold) { 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)) 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 Param[6L] <- Param_X1X3X6_threshold
} }
##Input_data_preparation ##Input_data_preparation
if(identical(RunOptions$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; } if(identical(RunOptions$IndPeriod_WarmUp,as.integer(0))){ RunOptions$IndPeriod_WarmUp <- NULL; }
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run); IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run);
LInputSeries <- as.integer(length(IndPeriod1)) LInputSeries <- as.integer(length(IndPeriod1))
if("all" %in% RunOptions$Outputs_Sim){ IndOutputs <- as.integer(1:length(FortranOutputs)); if("all" %in% RunOptions$Outputs_Sim){ IndOutputs <- as.integer(1:length(FortranOutputs));
} else { IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim); } } else { IndOutputs <- which(FortranOutputs %in% RunOptions$Outputs_Sim); }
##Output_data_preparation ##Output_data_preparation
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries; IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries;
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim; ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim;
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim; ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim;
##Use_of_IniResLevels ##Use_of_IniResLevels
if(!is.null(RunOptions$IniResLevels)){ if(!is.null(RunOptions$IniResLevels)){
RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm) 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$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3]; ### routing store level (mm)
RunOptions$IniStates[3] <- RunOptions$IniResLevels[3] ### exponential store level (mm) RunOptions$IniStates[3] <- RunOptions$IniResLevels[3] ### exponential store level (mm)
} }
##Call_fortan ##Call_fortan
RESULTS <- .Fortran("frun_gr6j",PACKAGE="airGR", RESULTS <- .Fortran("frun_gr6j",PACKAGE="airGR",
##inputs ##inputs
LInputs=LInputSeries, ### length of input and output series LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d] InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d]
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/d] InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/d]
NParam=as.integer(length(Param)), ### number of model parameter NParam=as.integer(length(Param)), ### number of model parameter
Param=Param, ### parameter set Param=Param, ### parameter set
NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising NStates=as.integer(length(RunOptions$IniStates)), ### number of state variables used for model initialising
StateStart=RunOptions$IniStates, ### state variables used when the model run starts StateStart=RunOptions$IniStates, ### state variables used when the model run starts
NOutputs=as.integer(length(IndOutputs)), ### number of output series NOutputs=as.integer(length(IndOutputs)), ### number of output series
IndOutputs=IndOutputs, ### indices of output series IndOutputs=IndOutputs, ### indices of output series
##outputs ##outputs
Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm] Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
) )
RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA; RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,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$StateEnd[-3L]) ### remove negative values except for the ExpStore location RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR6J, InputsModel = InputsModel, RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR6J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = RESULTS$StateEnd[3L], ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = RESULTS$StateEnd[3L],
UH1 = RESULTS$StateEnd[(1:20)+7], UH2 = RESULTS$StateEnd[(1:40)+(7+20)], UH1 = RESULTS$StateEnd[(1:20)+7], UH2 = RESULTS$StateEnd[(1:40)+(7+20)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL, GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE) verbose = FALSE)
} }
##Output_data_preparation ##Output_data_preparation
##OutputsModel_only ##OutputsModel_only
if(ExportDatesR==FALSE & ExportStateEnd==FALSE){ if(ExportDatesR==FALSE & ExportStateEnd==FALSE){
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]); OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
names(OutputsModel) <- FortranOutputs[IndOutputs]; } names(OutputsModel) <- FortranOutputs[IndOutputs]; }
##DatesR_and_OutputsModel_only ##DatesR_and_OutputsModel_only
if(ExportDatesR==TRUE & ExportStateEnd==FALSE){ if(ExportDatesR==TRUE & ExportStateEnd==FALSE){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]), OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) ); lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); } names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
##OutputsModel_and_SateEnd_only ##OutputsModel_and_SateEnd_only
if(ExportDatesR==FALSE & ExportStateEnd==TRUE){ if(ExportDatesR==FALSE & ExportStateEnd==TRUE){
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) ); list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); } names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
##DatesR_and_OutputsModel_and_SateEnd ##DatesR_and_OutputsModel_and_SateEnd
if((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim){ if((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]), OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]), lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) ); list(RESULTS$StateEnd) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); } names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); }
##End ##End
rm(RESULTS); rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","daily","GR"); class(OutputsModel) <- c("OutputsModel","daily","GR");
return(OutputsModel); return(OutputsModel);
} }
\ No newline at end of file
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