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Commit 710ab8cf authored by Delaigue Olivier's avatar Delaigue Olivier
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v1.6.3.54 style: add spaces after commas in RunModel_GR* functions 

Refs #14
parent 76da62f0
dev 115-add-pcict-date-format-managment 118-plot-outputsmodel-remove-case-sensitivity-to-the-which-argument 136-decreased-performance-of-calibration-execution-time 161-runmodel_lag-proposal-for-a-better-transformation-and-screening-of-the-parameters 165-add-missing-isintstore-argument-in-createcaliboptions 171-check-error-direct-call-of-as-data-frame-posixct-is-deprecated-use-as-data-frame-vector-or-as 191-speed-up-runmodel_lag-when-it-is-used-alone 33-merge-airgr-and-airgrplus-functions 60-migrate-transfoparam-functions-and-createcaliboptions-to-s3-methods 96-parallelize-the-grid-screening-step-during-calibration master rmOptions CRAN_v1.7.6 CRAN_v1.7.5 CRAN_v1.7.4 CRAN_v1.7.3 CRAN_v1.7.2 CRAN_v1.7.1 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
2 merge requests!26CRAN v1.6.9.21,!17Resolve "Clean the RunModel functions"
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DESCRIPTION
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Package: airGR
Type: Package
Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Version: 1.6.3.53
Date: 2020-11-11
Version: 1.6.3.54
Date: 2020-11-12
Authors@R: c(
person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),
person("Olivier", "Delaigue", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7668-8468"), email = "airGR@inrae.fr"),
......
NEWS.md
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......@@ -4,7 +4,7 @@
### 1.6.3.53 Release Notes (2020-11-11)
### 1.6.3.54 Release Notes (2020-11-12)
#### New features
......
R/RunModel_GR1A.R
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......@@ -51,7 +51,7 @@ RunModel_GR1A <- function(InputsModel, RunOptions, Param) {
## Call_fortan
RESULTS <- .Fortran("frun_gr1a", PACKAGE = "airGR",
RESULTS <- .Fortran("frun_gr1a", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/y]
......@@ -63,7 +63,7 @@ RunModel_GR1A <- function(InputsModel, RunOptions, Param) {
NOutputs = as.integer(length(IndOutputs)), ### number of output series
IndOutputs = IndOutputs, ### indices of output series
## outputs
Outputs = matrix(as.double(-999.999), nrow = LInputSeries,ncol=length(IndOutputs)), ### output series [mm]
Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol=length(IndOutputs)), ### output series [mm]
StateEnd = rep(as.double(-999.999), length(RunOptions$IniStates)) ### state variables at the end of the model run
)
RESULTS$Outputs[ round(RESULTS$Outputs , 3) == (-999.999)] <- NA
......@@ -78,20 +78,20 @@ RunModel_GR1A <- function(InputsModel, RunOptions, Param) {
}
## DatesR and OutputsModel only
if (ExportDatesR & !ExportStateEnd) {
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]))
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs])
}
## OutputsModel and SateEnd only
if (!ExportDatesR & ExportStateEnd) {
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$StateEnd))
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd")
}
## DatesR and OutputsModel and SateEnd
if ((ExportDatesR & ExportStateEnd) | "all" %in% RunOptions$Outputs_Sim) {
OutputsModel <- c(list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
OutputsModel <- c(list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd))
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs], "StateEnd")
}
......
R/RunModel_GR2M.R
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RunModel_GR2M <- function(InputsModel,RunOptions,Param) {
RunModel_GR2M <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
......@@ -7,13 +7,13 @@ RunModel_GR2M <- function(InputsModel,RunOptions,Param) {
## Arguments_check
if (inherits(InputsModel,"InputsModel") == FALSE) { stop("'InputsModel' must be of class 'InputsModel'") }
if (inherits(InputsModel,"monthly" ) == FALSE) { stop("'InputsModel' must be of class 'monthly' ") }
if (inherits(InputsModel,"GR" ) == FALSE) { stop("'InputsModel' must be of class 'GR' ") }
if (inherits(RunOptions,"RunOptions" ) == FALSE) { stop("'RunOptions' must be of class 'RunOptions' ") }
if (inherits(RunOptions,"GR" ) == FALSE) { stop("'RunOptions' must be of class 'GR' ") }
if (inherits(InputsModel, "InputsModel") == FALSE) { stop("'InputsModel' must be of class 'InputsModel'") }
if (inherits(InputsModel, "monthly" ) == FALSE) { stop("'InputsModel' must be of class 'monthly' ") }
if (inherits(InputsModel, "GR" ) == FALSE) { stop("'InputsModel' must be of class 'GR' ") }
if (inherits(RunOptions, "RunOptions" ) == FALSE) { stop("'RunOptions' must be of class 'RunOptions' ") }
if (inherits(RunOptions, "GR" ) == FALSE) { stop("'RunOptions' must be of class 'GR' ") }
if (!is.vector(Param) | !is.numeric(Param)) { stop("'Param' must be a numeric vector") }
if (sum(!is.na(Param)) != NParam) { stop(paste("'Param' must be a vector of length ",NParam," and contain no NA",sep = "")) }
if (sum(!is.na(Param)) != NParam) { stop(paste("'Param' must be a vector of length ", NParam, " and contain no NA", sep = "")) }
Param <- as.double(Param);
Param_X1X2_threshold <- 1e-2
......@@ -27,8 +27,8 @@ RunModel_GR2M <- function(InputsModel,RunOptions,Param) {
}
## Input_data_preparation
if (identical(RunOptions$IndPeriod_WarmUp,as.integer(0))) { RunOptions$IndPeriod_WarmUp <- NULL; }
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run);
if (identical(RunOptions$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$Outputs_Sim); }
......@@ -45,7 +45,7 @@ RunModel_GR2M <- function(InputsModel,RunOptions,Param) {
}
## Call_fortan
RESULTS <- .Fortran("frun_gr2M",PACKAGE = "airGR",
RESULTS <- .Fortran("frun_gr2M", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/month]
......@@ -57,16 +57,16 @@ RunModel_GR2M <- function(InputsModel,RunOptions,Param) {
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$IniStates)) ### state variables at the end of the model run
Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm]
StateEnd = rep(as.double(-999.999), length(RunOptions$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;
RESULTS$Outputs [round(RESULTS$Outputs , 3) == (-999.999)] <- NA;
RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == (-999.999)] <- NA;
if (ExportStateEnd) {
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR2M, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = NULL, UH2 = NULL,
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR2M, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = NULL, UH2 = NULL,
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE)
}
......@@ -74,28 +74,28 @@ RunModel_GR2M <- function(InputsModel,RunOptions,Param) {
## Output_data_preparation
## OutputsModel_only
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]; }
## 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 <- 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
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$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd"); }
## DatesR_and_OutputsModel_and_SateEnd
if ((ExportDatesR==TRUE & ExportStateEnd==TRUE) | "all" %in% RunOptions$Outputs_Sim) {
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
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"); }
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs], "StateEnd"); }
## End
rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","monthly","GR");
class(OutputsModel) <- c("OutputsModel", "monthly", "GR");
return(OutputsModel);
}
R/RunModel_GR4H.R
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RunModel_GR4H <- function(InputsModel,RunOptions,Param) {
RunModel_GR4H <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
......@@ -7,13 +7,13 @@ RunModel_GR4H <- function(InputsModel,RunOptions,Param) {
## 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 (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 = "")) }
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
......@@ -32,8 +32,8 @@ RunModel_GR4H <- function(InputsModel,RunOptions,Param) {
}
## Input_data_preparation
if (identical(RunOptions$IndPeriod_WarmUp,as.integer(0))) { RunOptions$IndPeriod_WarmUp <- NULL; }
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run);
if (identical(RunOptions$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$Outputs_Sim); }
......@@ -50,7 +50,7 @@ RunModel_GR4H <- function(InputsModel,RunOptions,Param) {
}
## Call_fortan
RESULTS <- .Fortran("frun_gr4h",PACKAGE = "airGR",
RESULTS <- .Fortran("frun_gr4h", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/h]
......@@ -62,45 +62,45 @@ RunModel_GR4H <- function(InputsModel,RunOptions,Param) {
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$IniStates)) ### state variables at the end of the model run
Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm]
StateEnd = rep(as.double(-999.999), length(RunOptions$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;
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_GR4H, InputsModel = InputsModel,
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)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR4H, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = RESULTS$StateEnd[(1:(20*24))+7], UH2 = RESULTS$StateEnd[(1:(40*24))+(7+20*24)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE)
}
## Output_data_preparation
## OutputsModel_only
if (ExportDatesR == FALSE & ExportStateEnd == FALSE) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
OutputsModel <- lapply(seq_len(RESULTS$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$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]) );
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs]); }
## OutputsModel_and_SateEnd_only
if (ExportDatesR == FALSE & ExportStateEnd == TRUE) {
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd"); }
## 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$Outputs[IndPeriod2,i]),
OutputsModel <- c( list(InputsModel$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"); }
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs], "StateEnd"); }
## End
rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","hourly","GR");
class(OutputsModel) <- c("OutputsModel", "hourly", "GR");
return(OutputsModel);
}
R/RunModel_GR4J.R
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RunModel_GR4J <- function(InputsModel,RunOptions,Param) {
RunModel_GR4J <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
......@@ -7,13 +7,13 @@ RunModel_GR4J <- function(InputsModel,RunOptions,Param) {
## 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' ") }
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(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' ") }
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 = "")) }
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
......@@ -32,8 +32,8 @@ RunModel_GR4J <- function(InputsModel,RunOptions,Param) {
}
## Input_data_preparation
if (identical(RunOptions$IndPeriod_WarmUp,as.integer(0))) { RunOptions$IndPeriod_WarmUp <- NULL; }
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run);
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); }
......@@ -49,7 +49,7 @@ RunModel_GR4J <- function(InputsModel,RunOptions,Param) {
}
## Call_fortan
RESULTS <- .Fortran("frun_gr4j",PACKAGE = "airGR",
RESULTS <- .Fortran("frun_gr4j", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d]
......@@ -61,45 +61,45 @@ RunModel_GR4J <- function(InputsModel,RunOptions,Param) {
NOutputs = as.integer(length(IndOutputs)), ### number of output series
IndOutputs = IndOutputs, ### indices of output series
## outputs
Outputs = matrix(as.double(-999.999),nrow = LInputSeries,ncol = length(IndOutputs)), ### output series [mm]
StateEnd = rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
Outputs = 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$StateEnd,3) == (-999.999)] <- NA;
RESULTS$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$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR4J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = RESULTS$StateEnd[(1:20)+7], UH2 = RESULTS$StateEnd[(1:40)+(7+20)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR4J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = RESULTS$StateEnd[(1:20)+7], UH2 = RESULTS$StateEnd[(1:40)+(7+20)],
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]);
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 <- 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]),
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd"); }
## DatesR_and_OutputsModel_and_StateEnd
if ((ExportDatesR == TRUE & ExportStateEnd == TRUE) | "all" %in% RunOptions$Outputs_Sim) {
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
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"); }
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs], "StateEnd"); }
## End
rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","daily","GR");
class(OutputsModel) <- c("OutputsModel", "daily", "GR");
return(OutputsModel);
}
R/RunModel_GR5H.R
+ 29
− 29
View file @ 710ab8cf
RunModel_GR5H <- function(InputsModel,RunOptions,Param) {
RunModel_GR5H <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
......@@ -13,13 +13,13 @@ RunModel_GR5H <- function(InputsModel,RunOptions,Param) {
## 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 (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 = "")) }
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
......@@ -38,8 +38,8 @@ RunModel_GR5H <- function(InputsModel,RunOptions,Param) {
}
## Input_data_preparation
if (identical(RunOptions$IndPeriod_WarmUp,as.integer(0))) { RunOptions$IndPeriod_WarmUp <- NULL; }
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run);
if (identical(RunOptions$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$Outputs_Sim); }
......@@ -59,7 +59,7 @@ RunModel_GR5H <- function(InputsModel,RunOptions,Param) {
}
## Call_fortan
RESULTS <- .Fortran("frun_gr5h",PACKAGE = "airGR",
RESULTS <- .Fortran("frun_gr5h", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/h]
......@@ -72,46 +72,46 @@ RunModel_GR5H <- function(InputsModel,RunOptions,Param) {
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$IniStates)) ### state variables at the end of the model run
Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm or mm/h]
StateEnd = rep(as.double(-999.999), length(RunOptions$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;
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,
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$Outputs[IndPeriod2,i]);
OutputsModel <- lapply(seq_len(RESULTS$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$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
OutputsModel <- c( list(InputsModel$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$Outputs[IndPeriod2,i]),
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"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$Outputs[IndPeriod2,i]),
OutputsModel <- c( list(InputsModel$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"); }
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs], "StateEnd"); }
## End
rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","hourly","GR");
class(OutputsModel) <- c("OutputsModel", "hourly", "GR");
if (IsIntStore) {
class(OutputsModel) <- c(class(OutputsModel), "interception")
}
......
R/RunModel_GR5J.R
+ 28
− 28
View file @ 710ab8cf
RunModel_GR5J <- function(InputsModel,RunOptions,Param) {
RunModel_GR5J <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
......@@ -7,13 +7,13 @@ RunModel_GR5J <- function(InputsModel,RunOptions,Param) {
## 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' ") }
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(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' ") }
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 = "")) }
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
......@@ -32,8 +32,8 @@ RunModel_GR5J <- function(InputsModel,RunOptions,Param) {
}
## Input_data_preparation
if (identical(RunOptions$IndPeriod_WarmUp,as.integer(0))) { RunOptions$IndPeriod_WarmUp <- NULL; }
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run);
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); }
......@@ -50,7 +50,7 @@ RunModel_GR5J <- function(InputsModel,RunOptions,Param) {
}
## Call_fortan
RESULTS <- .Fortran("frun_gr5j",PACKAGE = "airGR",
RESULTS <- .Fortran("frun_gr5j", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d]
......@@ -62,45 +62,45 @@ RunModel_GR5J <- function(InputsModel,RunOptions,Param) {
NOutputs = as.integer(length(IndOutputs)), ### number of output series
IndOutputs = IndOutputs, ### indices of output series
## outputs
Outputs = matrix(as.double(-999.999),nrow = LInputSeries,ncol = length(IndOutputs)), ### output series [mm]
StateEnd = rep(as.double(-999.999),length(RunOptions$IniStates)) ### state variables at the end of the model run
Outputs = 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$StateEnd,3) == (-999.999)] <- NA;
RESULTS$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$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR5J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = NULL, UH2 = RESULTS$StateEnd[(1:40)+(7+20)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR5J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
UH1 = NULL, UH2 = RESULTS$StateEnd[(1:40)+(7+20)],
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]);
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 <- 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
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$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd"); }
## DatesR_and_OutputsModel_and_SateEnd
if ((ExportDatesR == TRUE & ExportStateEnd == TRUE) | "all" %in% RunOptions$Outputs_Sim) {
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
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"); }
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs], "StateEnd"); }
## End
rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","daily","GR");
class(OutputsModel) <- c("OutputsModel", "daily", "GR");
return(OutputsModel);
}
R/RunModel_GR6J.R
+ 28
− 28
View file @ 710ab8cf
RunModel_GR6J <- function(InputsModel,RunOptions,Param) {
RunModel_GR6J <- function(InputsModel, RunOptions, Param) {
## Initialization of variables
......@@ -7,13 +7,13 @@ RunModel_GR6J <- function(InputsModel,RunOptions,Param) {
## 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' ") }
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(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' ") }
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 = "")) }
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_X1X3X6_threshold <- 1e-2
......@@ -36,8 +36,8 @@ RunModel_GR6J <- function(InputsModel,RunOptions,Param) {
}
## Input_data_preparation
if (identical(RunOptions$IndPeriod_WarmUp,as.integer(0))) { RunOptions$IndPeriod_WarmUp <- NULL; }
IndPeriod1 <- c(RunOptions$IndPeriod_WarmUp,RunOptions$IndPeriod_Run);
if (identical(RunOptions$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$Outputs_Sim); }
......@@ -55,7 +55,7 @@ RunModel_GR6J <- function(InputsModel,RunOptions,Param) {
}
## Call_fortan
RESULTS <- .Fortran("frun_gr6j",PACKAGE = "airGR",
RESULTS <- .Fortran("frun_gr6j", PACKAGE = "airGR",
## inputs
LInputs = LInputSeries, ### length of input and output series
InputsPrecip = InputsModel$Precip[IndPeriod1], ### input series of total precipitation [mm/d]
......@@ -67,45 +67,45 @@ RunModel_GR6J <- function(InputsModel,RunOptions,Param) {
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$IniStates)) ### state variables at the end of the model run
Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm]
StateEnd = rep(as.double(-999.999), length(RunOptions$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;
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_GR6J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = RESULTS$StateEnd[3L],
UH1 = RESULTS$StateEnd[(1:20)+7], UH2 = RESULTS$StateEnd[(1:40)+(7+20)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR6J, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = RESULTS$StateEnd[3L],
UH1 = RESULTS$StateEnd[(1:20)+7], UH2 = RESULTS$StateEnd[(1:40)+(7+20)],
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
verbose = FALSE)
}
## Output_data_preparation
## OutputsModel_only
if (ExportDatesR == FALSE & ExportStateEnd == FALSE) {
OutputsModel <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]);
OutputsModel <- lapply(seq_len(RESULTS$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$Outputs[IndPeriod2,i]) );
names(OutputsModel) <- c("DatesR",FortranOutputs[IndOutputs]); }
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]) );
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs]); }
## OutputsModel_and_SateEnd_only
if (ExportDatesR == FALSE & ExportStateEnd == TRUE) {
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2,i]),
OutputsModel <- c( lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i]),
list(RESULTS$StateEnd) );
names(OutputsModel) <- c(FortranOutputs[IndOutputs],"StateEnd"); }
names(OutputsModel) <- c(FortranOutputs[IndOutputs], "StateEnd"); }
## 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$Outputs[IndPeriod2,i]),
OutputsModel <- c( list(InputsModel$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"); }
names(OutputsModel) <- c("DatesR", FortranOutputs[IndOutputs], "StateEnd"); }
## End
rm(RESULTS);
class(OutputsModel) <- c("OutputsModel","daily","GR");
class(OutputsModel) <- c("OutputsModel", "daily", "GR");
return(OutputsModel);
}
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