diff --git a/R/PE_Oudin.R b/R/PE_Oudin.R
index 173c9e4fd812ba81d8fca76388b7eb959e1083fe..0f6c8352e39c1ff6532201444304c99dd52164fb 100644
--- a/R/PE_Oudin.R
+++ b/R/PE_Oudin.R
@@ -75,7 +75,7 @@ PE_Oudin <- function(JD, Temp,
InputsTT = as.double(Temp),
InputsJJ = as.double(JD),
##outputs
- PE_Oudin_D = rep(as.double(-999.999), LInputs)
+ PE_Oudin_D = rep(as.double(-99e9), LInputs)
)
PE_Oudin_D = RESULTS$PE_Oudin_D
diff --git a/R/RunModel_CemaNeige.R b/R/RunModel_CemaNeige.R
index 2cbac8153c51987d302af9f0c8d075253122c7b9..8d2fb3846ab7a1c4db1cce1c217ae25a98789ad7 100644
--- a/R/RunModel_CemaNeige.R
+++ b/R/RunModel_CemaNeige.R
@@ -94,13 +94,13 @@ RunModel_CemaNeige <- function(InputsModel, RunOptions, Param) {
NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs = IndOutputsCemaNeige, ### indices of output series
## outputs
- Outputs = matrix(-999.999, ### output series [mm, mm/time step or degC]
+ Outputs = matrix(-99e9, ### output series [mm, mm/time step or degC]
nrow = length(IndPeriod1),
ncol = length(IndOutputsCemaNeige)),
- StateEnd = rep(-999.999, NStates) ### state variables at the end of the model run
+ StateEnd = rep(-99e9, NStates) ### state variables at the end of the model run
)
- RESULTS$Outputs[ round(RESULTS$Outputs , 3) == -999.999] <- NA
- RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == -999.999] <- NA
+ RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
diff --git a/R/RunModel_CemaNeigeGR4H.R b/R/RunModel_CemaNeigeGR4H.R
index 4e73176cf8108a9585bee1231d183644e344616c..735112c27082a56316632cd4f74ef4c8c5c57fe5 100644
--- a/R/RunModel_CemaNeigeGR4H.R
+++ b/R/RunModel_CemaNeigeGR4H.R
@@ -1,14 +1,14 @@
RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
-
-
+
+
## Initialization of variables
IsHyst <- inherits(RunOptions, "hysteresis")
NParam <- ifelse(test = IsHyst, yes = 8L, no = 6L)
NParamCN <- NParam - 4L
NStates <- 4L
FortranOutputs <- .FortranOutputs(GR = "GR4H", isCN = TRUE)
-
-
+
+
## Arguments check
if (!inherits(InputsModel, "InputsModel")) {
stop("'InputsModel' must be of class 'InputsModel'")
@@ -38,8 +38,8 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
stop(paste("'Param' must be a vector of length", NParam, "and contain no NA"))
}
Param <- as.double(Param)
-
-
+
+
Param_X1X3_threshold <- 1e-2
Param_X4_threshold <- 0.5
if (Param[1L] < Param_X1X3_threshold) {
@@ -53,8 +53,8 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
if (Param[4L] < Param_X4_threshold) {
warning(sprintf("Param[4] (X4: unit hydrograph time constant [h]) < %.2f\n X4 set to %.2f", Param_X4_threshold, Param_X4_threshold))
Param[4L] <- Param_X4_threshold
- }
-
+ }
+
## Input data preparation
if (identical(RunOptions$IndPeriod_WarmUp, 0L)) {
RunOptions$IndPeriod_WarmUp <- NULL
@@ -67,12 +67,12 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
ParamMod <- Param[1:NParamMod]
NLayers <- length(InputsModel$LayerPrecip)
NStatesMod <- as.integer(length(RunOptions$IniStates) - NStates * NLayers)
-
+
## Output data preparation
ExportDatesR <- "DatesR" %in% RunOptions$Outputs_Sim
ExportStateEnd <- "StateEnd" %in% RunOptions$Outputs_Sim
-
-
+
+
## CemaNeige________________________________________________________________________________
if (inherits(RunOptions, "CemaNeige")) {
if ("all" %in% RunOptions$Outputs_Sim) {
@@ -83,11 +83,11 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
CemaNeigeLayers <- list()
CemaNeigeStateEnd <- NULL
NameCemaNeigeLayers <- "CemaNeigeLayers"
-
-
+
+
## Call CemaNeige Fortran_________________________
for (iLayer in 1:NLayers) {
-
+
if (!IsHyst) {
StateStartCemaNeige <- RunOptions$IniStates[(7 + 20*24 + 40*24) + c(iLayer, iLayer+NLayers)]
} else {
@@ -107,13 +107,13 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
IsHyst = as.integer(IsHyst), ### use of hysteresis
NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs = IndOutputsCemaNeige, ### indices of output series
- ## outputs
- Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/h or degC]
- StateEnd = rep(as.double(-999.999), as.integer(NStates)) ### state variables at the end of the model run
+ ## outputs
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/h or degC]
+ StateEnd = rep(as.double(-99e9), as.integer(NStates)) ### state variables at the end of the model run
)
- RESULTS$Outputs[ round(RESULTS$Outputs , 3) == -999.999] <- NA
- RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == -999.999] <- NA
-
+ RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
+
## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
names(CemaNeigeLayers[[iLayer]]) <- FortranOutputs$CN[IndOutputsCemaNeige]
@@ -137,22 +137,22 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
NameCemaNeigeLayers <- NULL
CatchMeltAndPliq <- InputsModel$Precip[IndPeriod1]
}
-
-
-
+
+
+
## GR model
if ("all" %in% RunOptions$Outputs_Sim) {
IndOutputsMod <- as.integer(1:length(FortranOutputs$GR))
} else {
IndOutputsMod <- which(FortranOutputs$GR %in% RunOptions$Outputs_Sim)
}
-
+
## Use of IniResLevels
if (!is.null(RunOptions$IniResLevels)) {
RunOptions$IniStates[1] <- RunOptions$IniResLevels[1] * ParamMod[1] ### production store level (mm)
RunOptions$IniStates[2] <- RunOptions$IniResLevels[2] * ParamMod[3] ### routing store level (mm)
}
-
+
## Call GR model Fortan
RESULTS <- .Fortran("frun_gr4h", PACKAGE = "airGR",
## inputs
@@ -165,12 +165,12 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
StateStart = RunOptions$IniStates[1:NStatesMod], ### state variables used when the model run starts
NOutputs = as.integer(length(IndOutputsMod)), ### number of output series
IndOutputs = IndOutputsMod, ### indices of output series
- ## outputs
- Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/h]
- StateEnd = rep(as.double(-999.999), NStatesMod) ### state variables at the end of the model run
+ ## outputs
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/h]
+ StateEnd = rep(as.double(-99e9), NStatesMod) ### state variables at the end of the model run
)
- RESULTS$Outputs[ round(RESULTS$Outputs , 3) == -999.999] <- NA
- RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == -999.999] <- NA
+ RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
if (ExportStateEnd) {
RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
idNStates <- seq_len(NStates*NLayers) %% NStates
@@ -180,15 +180,15 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
UH2 = RESULTS$StateEnd[(1:(40*24)) + (7+20*24)],
GCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 1]],
eTGCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 2]],
- GthrCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 3]],
+ GthrCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 3]],
GlocmaxCemaNeigeLayers = CemaNeigeStateEnd[seq_len(NStates*NLayers)[idNStates == 0]],
verbose = FALSE)
}
-
+
if (inherits(RunOptions, "CemaNeige") & "Precip" %in% RunOptions$Outputs_Sim) {
RESULTS$Outputs[, which(FortranOutputs$GR[IndOutputsMod] == "Precip")] <- InputsModel$Precip[IndPeriod1]
}
-
+
## Output data preparation
## OutputsModel only
if (!ExportDatesR & !ExportStateEnd) {
@@ -218,7 +218,7 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
list(RESULTS$StateEnd))
names(OutputsModel) <- c("DatesR", FortranOutputs$GR[IndOutputsMod], NameCemaNeigeLayers, "StateEnd")
}
-
+
## End
rm(RESULTS)
class(OutputsModel) <- c("OutputsModel", "hourly", "GR", "CemaNeige")
@@ -226,5 +226,5 @@ RunModel_CemaNeigeGR4H <- function(InputsModel, RunOptions, Param) {
class(OutputsModel) <- c(class(OutputsModel), "hysteresis")
}
return(OutputsModel)
-
+
}
diff --git a/R/RunModel_CemaNeigeGR4J.R b/R/RunModel_CemaNeigeGR4J.R
index 974e20d7de7827f20c69e225696d30da966691c6..d7105beaf07dad206af0b004ac2ae745435477c6 100644
--- a/R/RunModel_CemaNeigeGR4J.R
+++ b/R/RunModel_CemaNeigeGR4J.R
@@ -104,11 +104,11 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs = IndOutputsCemaNeige, ### indices of output series
## outputs
- Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/d or degC]
- StateEnd = rep(as.double(-999.999), as.integer(NStates)) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/d or degC]
+ StateEnd = rep(as.double(-99e9), as.integer(NStates)) ### state variables at the end of the model run
)
- RESULTS$Outputs[ round(RESULTS$Outputs , 3) == -999.999] <- NA
- RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == -999.999] <- NA
+ RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
@@ -162,11 +162,11 @@ RunModel_CemaNeigeGR4J <- function(InputsModel, RunOptions, Param) {
NOutputs = as.integer(length(IndOutputsMod)), ### number of output series
IndOutputs = IndOutputsMod, ### indices of output series
## outputs
- Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/d]
- StateEnd = rep(as.double(-999.999), NStatesMod) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/d]
+ StateEnd = rep(as.double(-99e9), NStatesMod) ### state variables at the end of the model run
)
- RESULTS$Outputs[ round(RESULTS$Outputs , 3) == -999.999] <- NA
- RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == -999.999] <- NA
+ RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
if (ExportStateEnd) {
RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
idNStates <- seq_len(NStates*NLayers) %% NStates
diff --git a/R/RunModel_CemaNeigeGR5H.R b/R/RunModel_CemaNeigeGR5H.R
index 8f1f70ccc35cf2e0320da80b109a96f3e1eec602..dc259454721f54d0881e49fc582412a1606b4f44 100644
--- a/R/RunModel_CemaNeigeGR5H.R
+++ b/R/RunModel_CemaNeigeGR5H.R
@@ -114,11 +114,11 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs = IndOutputsCemaNeige, ### indices of output series
## outputs
- Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/h or degC]
- StateEnd = rep(as.double(-999.999), as.integer(NStates)) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/h or degC]
+ StateEnd = rep(as.double(-99e9), as.integer(NStates)) ### state variables at the end of the model run
)
- RESULTS$Outputs[ round(RESULTS$Outputs , 3) == -999.999] <- NA
- RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == -999.999] <- NA
+ RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
@@ -176,11 +176,11 @@ RunModel_CemaNeigeGR5H <- function(InputsModel, RunOptions, Param) {
NOutputs = as.integer(length(IndOutputsMod)), ### number of output series
IndOutputs = IndOutputsMod, ### indices of output series
## outputs
- Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/h]
- StateEnd = rep(as.double(-999.999), NStatesMod) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/h]
+ StateEnd = rep(as.double(-99e9), NStatesMod) ### state variables at the end of the model run
)
- RESULTS$Outputs[ round(RESULTS$Outputs , 3) == -999.999] <- NA
- RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == -999.999] <- NA
+ RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
if (ExportStateEnd) {
RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
idNStates <- seq_len(NStates*NLayers) %% NStates
diff --git a/R/RunModel_CemaNeigeGR5J.R b/R/RunModel_CemaNeigeGR5J.R
index e09d22d19ba5e32c3b453e67760705d7f4c628d5..b4384d37cae3ab013283df1256dcc7f14926622a 100644
--- a/R/RunModel_CemaNeigeGR5J.R
+++ b/R/RunModel_CemaNeigeGR5J.R
@@ -105,11 +105,11 @@ RunModel_CemaNeigeGR5J <- function(InputsModel, RunOptions, Param) {
NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs = IndOutputsCemaNeige, ### indices of output series
## outputs
- Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/d or degC]
- StateEnd = rep(as.double(-999.999), as.integer(NStates)) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/d or degC]
+ StateEnd = rep(as.double(-99e9), as.integer(NStates)) ### state variables at the end of the model run
)
- RESULTS$Outputs[ round(RESULTS$Outputs , 3) == -999.999] <- NA
- RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == -999.999] <- NA
+ RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
@@ -163,11 +163,11 @@ RunModel_CemaNeigeGR5J <- function(InputsModel, RunOptions, Param) {
NOutputs = as.integer(length(IndOutputsMod)), ### number of output series
IndOutputs = IndOutputsMod, ### indices of output series
## outputs
- Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/d]
- StateEnd = rep(as.double(-999.999), NStatesMod) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputsMod)), ### output series [mm or mm/d]
+ StateEnd = rep(as.double(-99e9), NStatesMod) ### state variables at the end of the model run
)
- RESULTS$Outputs[ round(RESULTS$Outputs , 3) == -999.999] <- NA
- RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == -999.999] <- NA
+ RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
if (ExportStateEnd) {
RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ### remove negative values except for the ExpStore location
idNStates <- seq_len(NStates*NLayers) %% NStates
diff --git a/R/RunModel_CemaNeigeGR6J.R b/R/RunModel_CemaNeigeGR6J.R
index d8421231f932260d63f198e818952cf858071c16..278bb6a20bdb784234955c702a038f36860c39ef 100644
--- a/R/RunModel_CemaNeigeGR6J.R
+++ b/R/RunModel_CemaNeigeGR6J.R
@@ -109,11 +109,11 @@ RunModel_CemaNeigeGR6J <- function(InputsModel, RunOptions, Param) {
NOutputs = as.integer(length(IndOutputsCemaNeige)), ### number of output series
IndOutputs = IndOutputsCemaNeige, ### indices of output series
## outputs
- Outputs = matrix(as.double(-999.999), nrow = LInputSeries,ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/d or degC]
- StateEnd = rep(as.double(-999.999), as.integer(NStates)) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries,ncol = length(IndOutputsCemaNeige)), ### output series [mm, mm/d or degC]
+ StateEnd = rep(as.double(-99e9), as.integer(NStates)) ### state variables at the end of the model run
)
- RESULTS$Outputs[ round(RESULTS$Outputs , 3) == -999.999] <- NA
- RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == -999.999] <- NA
+ RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
## Data storage
CemaNeigeLayers[[iLayer]] <- lapply(seq_len(RESULTS$NOutputs), function(i) RESULTS$Outputs[IndPeriod2, i])
@@ -168,11 +168,11 @@ RunModel_CemaNeigeGR6J <- function(InputsModel, RunOptions, Param) {
NOutputs = as.integer(length(IndOutputsMod)), ### number of output series
IndOutputs = IndOutputsMod, ### indices of output series
## outputs
- Outputs = matrix(as.double(-999.999), nrow = LInputSeries,ncol = length(IndOutputsMod)), ### output series [mm or mm/d]
- StateEnd = rep(as.double(-999.999), NStatesMod) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries,ncol = length(IndOutputsMod)), ### output series [mm or mm/d]
+ StateEnd = rep(as.double(-99e9), NStatesMod) ### state variables at the end of the model run
)
- RESULTS$Outputs[ round(RESULTS$Outputs , 3) == -999.999] <- NA
- RESULTS$StateEnd[round(RESULTS$StateEnd, 3) == -999.999] <- NA
+ RESULTS$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
if (ExportStateEnd) {
RESULTS$StateEnd[-3L] <- ifelse(RESULTS$StateEnd[-3L] < 0, 0, RESULTS$StateEnd[-3L]) ## remove negative values except for the ExpStore location
idNStates <- seq_len(NStates*NLayers) %% NStates
diff --git a/R/RunModel_GR1A.R b/R/RunModel_GR1A.R
index 7f67a3f9bfe35b594d4cc0d683604ac687df63d2..39572b1cf514fcfb165acc340d03d9b6bad2502f 100644
--- a/R/RunModel_GR1A.R
+++ b/R/RunModel_GR1A.R
@@ -63,11 +63,11 @@ RunModel_GR1A <- function(InputsModel, RunOptions, Param) {
NOutputs = as.integer(length(IndOutputs)), ### number of output series
IndOutputs = IndOutputs, ### indices of output series
## outputs
- Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm/y]
- StateEnd = rep(as.double(-999.999), length(RunOptions$IniStates)) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm/y]
+ StateEnd = rep(as.double(-99e9), 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[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
## Output data preparation
diff --git a/R/RunModel_GR2M.R b/R/RunModel_GR2M.R
index e2868936c2ca06bebd0e2299c2f8c17dead6760c..47bf78cc988644915a946732a52c8cbf2d996424 100644
--- a/R/RunModel_GR2M.R
+++ b/R/RunModel_GR2M.R
@@ -76,11 +76,11 @@ RunModel_GR2M <- function(InputsModel, RunOptions, Param) {
NOutputs = as.integer(length(IndOutputs)), ### number of output series
IndOutputs = IndOutputs, ### indices of output series
## outputs
- Outputs = matrix(as.double(-999.999), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm or mm/month]
- StateEnd = rep(as.double(-999.999), length(RunOptions$IniStates)) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm or mm/month]
+ StateEnd = rep(as.double(-99e9), 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[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- NA
if (ExportStateEnd) {
RESULTS$StateEnd <- CreateIniStates(FUN_MOD = RunModel_GR2M, InputsModel = InputsModel,
ProdStore = RESULTS$StateEnd[1L], RoutStore = RESULTS$StateEnd[2L], ExpStore = NULL,
diff --git a/R/RunModel_GR4H.R b/R/RunModel_GR4H.R
index 388cb90021e2a3d147f7634b5070a38e0d6c4dbf..ef7e6e1eee99a054ef16f0725b1a35342779ab50 100644
--- a/R/RunModel_GR4H.R
+++ b/R/RunModel_GR4H.R
@@ -81,11 +81,11 @@ 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 or mm/h]
- StateEnd = rep(as.double(-999.999), length(RunOptions$IniStates)) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm or mm/h]
+ StateEnd = rep(as.double(-99e9), length(RunOptions$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$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- 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,
diff --git a/R/RunModel_GR4J.R b/R/RunModel_GR4J.R
index cab27ee3e8026c693113a17a397eb08a53d6faca..c2e9354976d278c29abc89e7f6c385f9ff9f6252 100644
--- a/R/RunModel_GR4J.R
+++ b/R/RunModel_GR4J.R
@@ -80,11 +80,11 @@ 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 or mm/d]
- StateEnd = rep(as.double(-999.999), length(RunOptions$IniStates)) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm or mm/d]
+ StateEnd = rep(as.double(-99e9), length(RunOptions$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$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- 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,
diff --git a/R/RunModel_GR5H.R b/R/RunModel_GR5H.R
index a8a5944e320cd18bf943ea74604a4670bde1608f..9880cc43fd82c745bcfcb7753e815c5889a86f2c 100644
--- a/R/RunModel_GR5H.R
+++ b/R/RunModel_GR5H.R
@@ -91,11 +91,11 @@ 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$IniStates)) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm or mm/h]
+ StateEnd = rep(as.double(-99e9), length(RunOptions$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$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- 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,
diff --git a/R/RunModel_GR5J.R b/R/RunModel_GR5J.R
index 60fe028c313bdeec040f072de92e9f547ce53ce0..b14df6fd04272c94938c117e1b8a5544a4f631a8 100644
--- a/R/RunModel_GR5J.R
+++ b/R/RunModel_GR5J.R
@@ -81,11 +81,11 @@ 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 or mm/d]
- StateEnd = rep(as.double(-999.999), length(RunOptions$IniStates)) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm or mm/d]
+ StateEnd = rep(as.double(-99e9), length(RunOptions$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$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- 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,
diff --git a/R/RunModel_GR6J.R b/R/RunModel_GR6J.R
index 4539fe3bbe3fb46561d8c75befe85fe07be3ab3a..c66d4ba2c65a7406cae4c8a11d2dcc885b153f8a 100644
--- a/R/RunModel_GR6J.R
+++ b/R/RunModel_GR6J.R
@@ -86,11 +86,11 @@ 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 or mm/d]
- StateEnd = rep(as.double(-999.999), length(RunOptions$IniStates)) ### state variables at the end of the model run
+ Outputs = matrix(as.double(-99e9), nrow = LInputSeries, ncol = length(IndOutputs)), ### output series [mm or mm/d]
+ StateEnd = rep(as.double(-99e9), length(RunOptions$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$Outputs[RESULTS$Outputs <= -99e8] <- NA
+ RESULTS$StateEnd[RESULTS$StateEnd <= -99e8] <- 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,