diff --git a/DESCRIPTION b/DESCRIPTION
index 61dc3272719dd6804f7cd778d6205f8b150287be..f7f343c322f259de6bca3edec799362160bdffed 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
Package: airGR
Type: Package
Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
-Version: 1.6.3.49
+Version: 1.6.3.50
Date: 2020-11-11
Authors@R: c(
person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),
diff --git a/NEWS.md b/NEWS.md
index 1869403f7ee691e8cfd40bdc4f4336957662e229..d990b93a3c96f7175c4cc3eaf95c22fcccb94c2a 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -4,7 +4,7 @@
-### 1.6.3.49 Release Notes (2020-11-11)
+### 1.6.3.50 Release Notes (2020-11-11)
#### New features
diff --git a/R/RunModel_GR1A.R b/R/RunModel_GR1A.R
index 432a1eaa9e22c1a51ef9c97faffd7e82298c6730..f502410d9a55cab38c1e5682d3163e0b30661955 100644
--- a/R/RunModel_GR1A.R
+++ b/R/RunModel_GR1A.R
@@ -1,5 +1,7 @@
RunModel_GR1A <- function(InputsModel, RunOptions, Param) {
+
+ ## Initialization of variables
NParam <- 1
FortranOutputs <- .FortranOutputs(GR = "GR1A")$GR
diff --git a/R/RunModel_GR2M.R b/R/RunModel_GR2M.R
index 5875d92ede952cce8dbbbf80ab082b60ee9ea37b..0a3683a158c205a7fca4d44d6cdf3a177d0d36fc 100644
--- a/R/RunModel_GR2M.R
+++ b/R/RunModel_GR2M.R
@@ -1,9 +1,12 @@
RunModel_GR2M <- function(InputsModel,RunOptions,Param) {
+
+ ## Initialization of variables
NParam <- 2;
FortranOutputs <- .FortranOutputs(GR = "GR2M")$GR
- ##Arguments_check
+
+ ## Arguments_check
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,"GR" )==FALSE) { stop("'InputsModel' must be of class 'GR' ") }
@@ -23,27 +26,27 @@ RunModel_GR2M <- function(InputsModel,RunOptions,Param) {
Param[2L] <- Param_X1X2_threshold
}
- ##Input_data_preparation
+ ## 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
+ ## Output_data_preparation
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries;
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim;
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim;
- ##Use_of_IniResLevels
+ ## Use_of_IniResLevels
if (!is.null(RunOptions$IniResLevels)) {
- RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm)
- RunOptions$IniStates[2] <- RunOptions$IniResLevels[2]*Param[2]; ### routing 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)
}
- ##Call_fortan
+ ## Call_fortan
RESULTS <- .Fortran("frun_gr2M",PACKAGE="airGR",
- ##inputs
+ ## inputs
LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/month]
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/month]
@@ -53,9 +56,9 @@ RunModel_GR2M <- function(InputsModel,RunOptions,Param) {
StateStart=RunOptions$IniStates, ### state variables used when the model run starts
NOutputs=as.integer(length(IndOutputs)), ### number of output series
IndOutputs=IndOutputs, ### indices of output series
- ##outputs
- Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
- StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
+ ## outputs
+ Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
+ StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
)
RESULTS$Outputs [round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,3)==(-999.999)] <- NA;
@@ -68,29 +71,28 @@ RunModel_GR2M <- function(InputsModel,RunOptions,Param) {
}
- ##Output_data_preparation
- ##OutputsModel_only
+ ## Output_data_preparation
+ ## OutputsModel_only
if (ExportDatesR==FALSE & ExportStateEnd==FALSE) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
names(OutputsModel) <- FortranOutputs[IndOutputs]; }
- ##DatesR_and_OutputsModel_only
+ ## DatesR_and_OutputsModel_only
if (ExportDatesR==TRUE & ExportStateEnd==FALSE) {
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
- ##OutputsModel_and_SateEnd_only
+ ## OutputsModel_and_SateEnd_only
if (ExportDatesR==FALSE & ExportStateEnd==TRUE) {
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
- ##DatesR_and_OutputsModel_and_SateEnd
- if ((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim) {
+ ## DatesR_and_OutputsModel_and_SateEnd
OutputsModel <- c( list(InputsModel$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
+ ## End
rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","monthly","GR");
return(OutputsModel);
diff --git a/R/RunModel_GR4H.R b/R/RunModel_GR4H.R
index 497284f5db05e9990d3320d71f6889d19f8749db..6b2b55a04bbeacc7cfb449e7d0ed3339bcf02668 100644
--- a/R/RunModel_GR4H.R
+++ b/R/RunModel_GR4H.R
@@ -1,9 +1,12 @@
RunModel_GR4H <- function(InputsModel,RunOptions,Param) {
+
+ ## Initialization of variables
NParam <- 4;
FortranOutputs <- .FortranOutputs(GR = "GR4H")$GR
- ##Arguments_check
+
+ ## Arguments_check
if (inherits(InputsModel,"InputsModel")==FALSE) { stop("'InputsModel' must be of class 'InputsModel'") }
if (inherits(InputsModel,"hourly" )==FALSE) { stop("'InputsModel' must be of class 'hourly' ") }
if (inherits(InputsModel,"GR" )==FALSE) { stop("'InputsModel' must be of class 'GR' ") }
@@ -28,27 +31,27 @@ RunModel_GR4H <- function(InputsModel,RunOptions,Param) {
Param[4L] <- Param_X4_threshold
}
- ##Input_data_preparation
+ ## Input_data_preparation
if (identical(RunOptions$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$Outputs_Sim); }
- ##Output_data_preparation
+ ## Output_data_preparation
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries;
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim;
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim;
- ##Use_of_IniResLevels
+ ## Use_of_IniResLevels
if (!is.null(RunOptions$IniResLevels)) {
RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm)
RunOptions$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3]; ### routing store level (mm)
}
- ##Call_fortan
+ ## Call_fortan
RESULTS <- .Fortran("frun_gr4h",PACKAGE="airGR",
- ##inputs
+ ## inputs
LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/h]
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/h]
@@ -58,9 +61,9 @@ RunModel_GR4H <- function(InputsModel,RunOptions,Param) {
StateStart=RunOptions$IniStates, ### state variables used when the model run starts
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]
- StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
+ ## outputs
+ Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
+ StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,3)==(-999.999)] <- NA;
@@ -73,29 +76,29 @@ RunModel_GR4H <- function(InputsModel,RunOptions,Param) {
verbose = FALSE)
}
- ##Output_data_preparation
- ##OutputsModel_only
+ ## 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
+ ## 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_SateEnd_only
+ ## OutputsModel_and_SateEnd_only
if (ExportDatesR==FALSE & ExportStateEnd==TRUE) {
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
- ##DatesR_and_OutputsModel_and_SateEnd
+ ## DatesR_and_OutputsModel_and_SateEnd
if ((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim) {
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); }
- ##End
+ ## End
rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","hourly","GR");
return(OutputsModel);
diff --git a/R/RunModel_GR4J.R b/R/RunModel_GR4J.R
index 2c80586e066550808383442ab9ff6bea924c7e22..0bcade5ff642e5e25a25493ee22839d1a275c205 100644
--- a/R/RunModel_GR4J.R
+++ b/R/RunModel_GR4J.R
@@ -1,9 +1,12 @@
RunModel_GR4J <- function(InputsModel,RunOptions,Param) {
+
+ ## Initialization of variables
NParam <- 4;
FortranOutputs <- .FortranOutputs(GR = "GR4J")$GR
- ##Arguments_check
+
+ ## Arguments_check
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,"GR" )==FALSE) { stop("'InputsModel' must be of class 'GR' ") }
@@ -28,26 +31,26 @@ RunModel_GR4J <- function(InputsModel,RunOptions,Param) {
Param[4L] <- Param_X4_threshold
}
- ##Input_data_preparation
+ ## 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); }
- ##Input_data_preparation
+ ## Input_data_preparation
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries;
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim;
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim;
- ##Use_of_IniResLevels
+ ## Use_of_IniResLevels
if (!is.null(RunOptions$IniResLevels)) {
- RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm)
- RunOptions$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3]; ### routing store level (mm)
+ RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production 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",
- ##inputs
+ ## inputs
LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d]
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/d]
@@ -57,9 +60,9 @@ RunModel_GR4J <- function(InputsModel,RunOptions,Param) {
StateStart=RunOptions$IniStates, ### state variables used when the model run starts
NOutputs=as.integer(length(IndOutputs)), ### number of output series
IndOutputs=IndOutputs, ### indices of output series
- ##outputs
- Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
- StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
+ ## outputs
+ Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
+ StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,3)==(-999.999)] <- NA;
@@ -72,29 +75,29 @@ RunModel_GR4J <- function(InputsModel,RunOptions,Param) {
verbose = FALSE)
}
- ##Output_data_preparation
- ##OutputsModel_only
+ ## Output_data_preparation
+ ## OutputsModel_only
if (ExportDatesR==FALSE & ExportStateEnd==FALSE) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
names(OutputsModel) <- FortranOutputs[IndOutputs]; }
- ##DatesR_and_OutputsModel_only
+ ## DatesR_and_OutputsModel_only
if (ExportDatesR==TRUE & ExportStateEnd==FALSE) {
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
- ##OutputsModel_and_StateEnd_only
+ ## OutputsModel_and_StateEnd_only
if (ExportDatesR==FALSE & ExportStateEnd==TRUE) {
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
- ##DatesR_and_OutputsModel_and_StateEnd
+ ## 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
+ ## End
rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","daily","GR");
return(OutputsModel);
diff --git a/R/RunModel_GR5H.R b/R/RunModel_GR5H.R
index 46c752689f77c9846d6322ff1525a38f4668354e..f57c6b74f3f99305d93d1909b33fcaf089f55ba9 100644
--- a/R/RunModel_GR5H.R
+++ b/R/RunModel_GR5H.R
@@ -1,5 +1,7 @@
RunModel_GR5H <- function(InputsModel,RunOptions,Param) {
+
+ ## Initialization of variables
NParam <- 5;
FortranOutputs <- .FortranOutputs(GR = "GR5H")$GR
IsIntStore <- inherits(RunOptions, "interception")
@@ -9,7 +11,8 @@ RunModel_GR5H <- function(InputsModel,RunOptions,Param) {
Imax <- -99
}
- ##Arguments_check
+
+ ## Arguments_check
if (inherits(InputsModel,"InputsModel")==FALSE) { stop("'InputsModel' must be of class 'InputsModel'") }
if (inherits(InputsModel,"hourly" )==FALSE) { stop("'InputsModel' must be of class 'hourly' ") }
if (inherits(InputsModel,"GR" )==FALSE) { stop("'InputsModel' must be of class 'GR' ") }
@@ -34,30 +37,30 @@ RunModel_GR5H <- function(InputsModel,RunOptions,Param) {
Param[4L] <- Param_X4_threshold
}
- ##Input_data_preparation
+ ## Input_data_preparation
if (identical(RunOptions$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$Outputs_Sim); }
- ##Output_data_preparation
+ ## Output_data_preparation
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries;
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim;
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim;
- ##Use_of_IniResLevels
+ ## Use_of_IniResLevels
if (!is.null(RunOptions$IniResLevels)) {
- RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm)
- RunOptions$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3]; ### routing store level (mm)
+ RunOptions$IniStates[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$IniResLevels[4] * Imax; ### interception store level (mm)
+ RunOptions$IniStates[4] <- RunOptions$IniResLevels[4] * Imax; ### interception store level (mm)
}
}
- ##Call_fortan
+ ## Call_fortan
RESULTS <- .Fortran("frun_gr5h",PACKAGE="airGR",
- ##inputs
+ ## inputs
LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/h]
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/h]
@@ -68,9 +71,9 @@ RunModel_GR5H <- function(InputsModel,RunOptions,Param) {
Imax=Imax, ### maximal capacity of interception store
NOutputs=as.integer(length(IndOutputs)), ### number of output series
IndOutputs=IndOutputs, ### indices of output series
- ##outputs
- Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm or mm/h]
- StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
+ ## 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$StateEnd,3)==(-999.999)] <- NA;
@@ -84,29 +87,29 @@ RunModel_GR5H <- function(InputsModel,RunOptions,Param) {
verbose = FALSE)
}
- ##Output_data_preparation
- ##OutputsModel_only
+ ## Output_data_preparation
+ ## OutputsModel_only
if (ExportDatesR==FALSE & ExportStateEnd==FALSE) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
names(OutputsModel) <- FortranOutputs[IndOutputs]; }
- ##DatesR_and_OutputsModel_only
+ ## DatesR_and_OutputsModel_only
if (ExportDatesR==TRUE & ExportStateEnd==FALSE) {
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
- ##OutputsModel_and_StateEnd_only
+ ## OutputsModel_and_StateEnd_only
if (ExportDatesR==FALSE & ExportStateEnd==TRUE) {
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
- ##DatesR_and_OutputsModel_and_StateEnd
+ ## 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
+ ## End
rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","hourly","GR");
if (IsIntStore) {
diff --git a/R/RunModel_GR5J.R b/R/RunModel_GR5J.R
index 5b5b26b1fd89a5a4aa64c8d643110a57f20fc751..e7d4f474eda642d9d9352f3a34d3f94d3f4bd95e 100644
--- a/R/RunModel_GR5J.R
+++ b/R/RunModel_GR5J.R
@@ -1,9 +1,12 @@
RunModel_GR5J <- function(InputsModel,RunOptions,Param) {
+
+ ## Initialization of variables
NParam <- 5;
FortranOutputs <- .FortranOutputs(GR = "GR5J")$GR
- ##Arguments_check
+
+ ## Arguments_check
if (inherits(InputsModel,"InputsModel")==FALSE) { stop("'InputsModel' must be of class 'InputsModel'") }
if (inherits(InputsModel,"daily" )==FALSE) { stop("'InputsModel' must be of class 'daily' ") }
if (inherits(InputsModel,"GR" )==FALSE) { stop("'InputsModel' must be of class 'GR' ") }
@@ -28,27 +31,27 @@ RunModel_GR5J <- function(InputsModel,RunOptions,Param) {
Param[4L] <- Param_X4_threshold
}
- ##Input_data_preparation
+ ## Input_data_preparation
if (identical(RunOptions$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$Outputs_Sim); }
- ##Output_data_preparation
+ ## Output_data_preparation
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries;
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim;
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim;
- ##Use_of_IniResLevels
+ ## Use_of_IniResLevels
if (!is.null(RunOptions$IniResLevels)) {
- RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm)
- RunOptions$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3]; ### routing store level (mm)
+ RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm)
+ RunOptions$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3]; ### routing store level (mm)
}
- ##Call_fortan
+ ## Call_fortan
RESULTS <- .Fortran("frun_gr5j",PACKAGE="airGR",
- ##inputs
+ ## inputs
LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d]
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/d]
@@ -58,9 +61,9 @@ RunModel_GR5J <- function(InputsModel,RunOptions,Param) {
StateStart=RunOptions$IniStates, ### state variables used when the model run starts
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]
- StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
+ ## outputs
+ Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
+ StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,3)==(-999.999)] <- NA;
@@ -73,29 +76,29 @@ RunModel_GR5J <- function(InputsModel,RunOptions,Param) {
verbose = FALSE)
}
- ##Output_data_preparation
- ##OutputsModel_only
+ ## 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
+ ## 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_SateEnd_only
+ ## OutputsModel_and_SateEnd_only
if (ExportDatesR==FALSE & ExportStateEnd==TRUE) {
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
- ##DatesR_and_OutputsModel_and_SateEnd
+ ## DatesR_and_OutputsModel_and_SateEnd
if ((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim) {
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs],"StateEnd"); }
- ##End
+ ## End
rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","daily","GR");
return(OutputsModel);
diff --git a/R/RunModel_GR6J.R b/R/RunModel_GR6J.R
index 6ac850405453d6e6522fae6de315bc7b8227f2f2..19bdac9911b1bc0fe659c108a666053c781eb93a 100644
--- a/R/RunModel_GR6J.R
+++ b/R/RunModel_GR6J.R
@@ -1,9 +1,12 @@
RunModel_GR6J <- function(InputsModel,RunOptions,Param) {
+
+ ## Initialization of variables
NParam <- 6;
FortranOutputs <- .FortranOutputs(GR = "GR6J")$GR
- ##Arguments_check
+
+ ## Arguments_check
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,"GR" )==FALSE) { stop("'InputsModel' must be of class 'GR' ") }
@@ -32,28 +35,28 @@ RunModel_GR6J <- function(InputsModel,RunOptions,Param) {
Param[6L] <- Param_X1X3X6_threshold
}
- ##Input_data_preparation
+ ## 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
+ ## Output_data_preparation
IndPeriod2 <- (length(RunOptions$IndPeriod_WarmUp)+1):LInputSeries;
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim;
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim;
- ##Use_of_IniResLevels
+ ## Use_of_IniResLevels
if (!is.null(RunOptions$IniResLevels)) {
- RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm)
- RunOptions$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3]; ### routing store level (mm)
- RunOptions$IniStates[3] <- RunOptions$IniResLevels[3] ### exponential store level (mm)
+ RunOptions$IniStates[1] <- RunOptions$IniResLevels[1]*Param[1]; ### production store level (mm)
+ RunOptions$IniStates[2] <- RunOptions$IniResLevels[2]*Param[3]; ### routing store level (mm)
+ RunOptions$IniStates[3] <- RunOptions$IniResLevels[3] ### exponential store level (mm)
}
- ##Call_fortan
+ ## Call_fortan
RESULTS <- .Fortran("frun_gr6j",PACKAGE="airGR",
- ##inputs
+ ## inputs
LInputs=LInputSeries, ### length of input and output series
InputsPrecip=InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d]
InputsPE=InputsModel$PotEvap[IndPeriod1], ### input series potential evapotranspiration [mm/d]
@@ -63,9 +66,9 @@ RunModel_GR6J <- function(InputsModel,RunOptions,Param) {
StateStart=RunOptions$IniStates, ### state variables used when the model run starts
NOutputs=as.integer(length(IndOutputs)), ### number of output series
IndOutputs=IndOutputs, ### indices of output series
- ##outputs
- Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
- StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
+ ## outputs
+ Outputs=matrix(as.double(-999.999),nrow=LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
+ StateEnd=rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[ round(RESULTS$Outputs ,3)==(-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd,3)==(-999.999)] <- NA;
@@ -78,29 +81,29 @@ RunModel_GR6J <- function(InputsModel,RunOptions,Param) {
verbose = FALSE)
}
- ##Output_data_preparation
- ##OutputsModel_only
+ ## Output_data_preparation
+ ## OutputsModel_only
if (ExportDatesR==FALSE & ExportStateEnd==FALSE) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
names(OutputsModel) <- FortranOutputs[IndOutputs]; }
- ##DatesR_and_OutputsModel_only
+ ## DatesR_and_OutputsModel_only
if (ExportDatesR==TRUE & ExportStateEnd==FALSE) {
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
- ##OutputsModel_and_SateEnd_only
+ ## OutputsModel_and_SateEnd_only
if (ExportDatesR==FALSE & ExportStateEnd==TRUE) {
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
- ##DatesR_and_OutputsModel_and_SateEnd
+ ## DatesR_and_OutputsModel_and_SateEnd
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
+ ## End
rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","daily","GR");
return(OutputsModel);