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CreateInputsModel <- function(FUN_MOD, DatesR, Precip, PrecipScale = TRUE, PotEvap = NULL, TempMean = NULL, TempMin = NULL, TempMax = NULL, ZInputs = NULL, HypsoData = NULL, NLayers = 5, verbose = TRUE) {
BOOL <- FALSE
if(identical(FUN_MOD,RunModel_GR4H)) {
ObjectClass <- c(ObjectClass,"hourly","GR");
TimeStep <- as.integer(60*60);
if(identical(FUN_MOD,RunModel_GR4J) | identical(FUN_MOD,RunModel_GR5J) | identical(FUN_MOD,RunModel_GR6J)) {
ObjectClass <- c(ObjectClass,"daily","GR");
TimeStep <- as.integer(24*60*60);
if(identical(FUN_MOD,RunModel_GR2M)) {
ObjectClass <- c(ObjectClass,"GR","monthly");
TimeStep <- as.integer(c(28,29,30,31)*24*60*60);
if(identical(FUN_MOD,RunModel_GR1A)) {
ObjectClass <- c(ObjectClass,"GR","yearly");
TimeStep <- as.integer(c(365,366)*24*60*60);
if(identical(FUN_MOD,RunModel_CemaNeige)) {
ObjectClass <- c(ObjectClass,"daily","CemaNeige");
TimeStep <- as.integer(24*60*60);
if(identical(FUN_MOD,RunModel_CemaNeigeGR4J) | identical(FUN_MOD,RunModel_CemaNeigeGR5J) | identical(FUN_MOD,RunModel_CemaNeigeGR6J)) {
ObjectClass <- c(ObjectClass,"daily","GR","CemaNeige");
TimeStep <- as.integer(24*60*60);
stop("Incorrect FUN_MOD for use in CreateInputsModel \n")
if("GR" %in% ObjectClass | "CemaNeige" %in% ObjectClass) {
if(is.null(DatesR)) { stop("DatesR is missing \n"); return(NULL); }
if("POSIXlt" %in% class(DatesR) == FALSE & "POSIXct" %in% class(DatesR) == FALSE) { stop("DatesR must be defined as POSIXlt or POSIXct \n"); return(NULL); }
if("POSIXlt" %in% class(DatesR) == FALSE) { DatesR <- as.POSIXlt(DatesR); }
if(difftime(tail(DatesR,1),tail(DatesR,2),units="secs")[[1]] %in% TimeStep==FALSE) { stop(paste("the time step of the model inputs must be ",TimeStep," seconds \n",sep="")); return(NULL); }
if("GR" %in% ObjectClass) {
if(is.null(Precip )) { stop("Precip is missing \n" ); return(NULL); }
if(is.null(PotEvap )) { stop("PotEvap is missing \n" ); return(NULL); }
if(!is.vector( Precip) | !is.vector( PotEvap)) { stop("Precip and PotEvap must be vectors of numeric values \n"); return(NULL); }
if(!is.numeric(Precip) | !is.numeric(PotEvap)) { stop("Precip and PotEvap must be vectors of numeric values \n"); return(NULL); }
if(length(Precip)!=LLL | length(PotEvap)!=LLL) { stop("Precip, PotEvap and DatesR must have the same length \n"); return(NULL); }
if("CemaNeige" %in% ObjectClass) {
if(is.null(Precip )) { stop("Precip is missing \n" ); return(NULL); }
if(is.null(TempMean)) { stop("TempMean is missing \n"); return(NULL); }
if(!is.vector( Precip) | !is.vector( TempMean)) { stop("Precip and TempMean must be vectors of numeric values \n"); return(NULL); }
if(!is.numeric(Precip) | !is.numeric(TempMean)) { stop("Precip and TempMean must be vectors of numeric values \n"); return(NULL); }
if(length(Precip)!=LLL | length(TempMean)!=LLL) { stop("Precip, TempMean and DatesR must have the same length \n"); return(NULL); }
if(is.null(TempMin)!=is.null(TempMax)) { stop("TempMin and TempMax must be both defined if not null \n"); return(NULL); }
if(!is.null(TempMin) & !is.null(TempMax)) {
if(!is.vector( TempMin) | !is.vector( TempMax)) { stop("TempMin and TempMax must be vectors of numeric values \n"); return(NULL); }
if(!is.numeric(TempMin) | !is.numeric(TempMax)) { stop("TempMin and TempMax must be vectors of numeric values \n"); return(NULL); }
if(length(TempMin)!=LLL | length(TempMax)!=LLL) { stop("TempMin, TempMax and DatesR must have the same length \n"); return(NULL); }
if(!is.null(HypsoData)) {
if(!is.vector( HypsoData)) { stop("HypsoData must be a vector of numeric values if not null \n"); return(NULL); }
if(!is.numeric(HypsoData)) { stop("HypsoData must be a vector of numeric values if not null \n"); return(NULL); }
if(length(HypsoData)!=101) { stop("HypsoData must be of length 101 if not null \n"); return(NULL); }
if(sum(is.na(HypsoData))!=0 & sum(is.na(HypsoData))!=101) { stop("HypsoData must not contain any NA if not null \n"); return(NULL); }
if(!is.null(ZInputs)) {
if(length(ZInputs)!=1 ) { stop("\t ZInputs must be a single numeric value if not null \n"); return(NULL); }
if(is.na(ZInputs) | !is.numeric(ZInputs)) { stop("\t ZInputs must be a single numeric value if not null \n"); return(NULL); }
if(is.null(HypsoData)) {
if(verbose) { warning("\t HypsoData is missing => a single layer is used and no extrapolation is made \n"); }
HypsoData <- as.numeric(rep(NA,101)); ZInputs <- as.numeric(NA); NLayers <- as.integer(1);
}
if(is.null(ZInputs)) {
if(verbose & !identical(HypsoData,as.numeric(rep(NA,101)))) { warning("\t ZInputs is missing => HypsoData[51] is used \n"); }
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committed
ZInputs <- HypsoData[51L];
if(NLayers <= 0) {
stop("NLayers must be a positive integer value \n")
return(NULL)
}
if(NLayers != as.integer(NLayers)) {
warning("Coerce NLayers to be of integer type (", NLayers, " => ", as.integer(NLayers), ")")
NLayers <- as.integer(NLayers)
}
}
##check_NA_values
BOOL_NA <- rep(FALSE,length(DatesR));
if("GR" %in% ObjectClass) {
BOOL_NA_TMP <- (Precip < 0) | is.na(Precip ); if(sum(BOOL_NA_TMP)!=0) { BOOL_NA <- BOOL_NA | BOOL_NA_TMP; if(verbose) { warning("\t Values < 0 or NA values detected in Precip series \n"); } }
BOOL_NA_TMP <- (PotEvap < 0) | is.na(PotEvap); if(sum(BOOL_NA_TMP)!=0) { BOOL_NA <- BOOL_NA | BOOL_NA_TMP; if(verbose) { warning("\t Values < 0 or NA values detected in PotEvap series \n"); } }
if("CemaNeige" %in% ObjectClass) {
BOOL_NA_TMP <- (Precip < 0 ) | is.na(Precip ); if(sum(BOOL_NA_TMP)!=0) { BOOL_NA <- BOOL_NA | BOOL_NA_TMP; if(verbose) { warning("\t Values < 0 or NA values detected in Precip series \n"); } }
BOOL_NA_TMP <- (TempMean<(-150)) | is.na(TempMean); if(sum(BOOL_NA_TMP)!=0) { BOOL_NA <- BOOL_NA | BOOL_NA_TMP; if(verbose) { warning("\t Values < -150) or NA values detected in TempMean series \n"); } }
if(!is.null(TempMin) & !is.null(TempMax)) {
BOOL_NA_TMP <- (TempMin<(-150)) | is.na(TempMin); if(sum(BOOL_NA_TMP)!=0) { BOOL_NA <- BOOL_NA | BOOL_NA_TMP; if(verbose) { warning("\t Values < -150) or NA values detected in TempMin series \n"); } }
BOOL_NA_TMP <- (TempMax<(-150)) | is.na(TempMax); if(sum(BOOL_NA_TMP)!=0) { BOOL_NA <- BOOL_NA | BOOL_NA_TMP; if(verbose) { warning("\t Values < -150) or NA values detected in TempMax series \n"); } } }
WTxt <- NULL;
WTxt <- paste(WTxt,"\t Missing values are not allowed in InputsModel \n",sep="");
Select <- (max(which(BOOL_NA))+1):length(BOOL_NA);
if(Select[1L]>Select[2L]) { stop("Time series could not be trunced since missing values were detected at the list time-step"); return(NULL); }
Precip <- Precip[Select]; PotEvap <- PotEvap[Select]; }
if("CemaNeige" %in% ObjectClass) {
Precip <- Precip[Select]; TempMean <- TempMean[Select]; if(!is.null(TempMin) & !is.null(TempMax)) { TempMin <- TempMin[Select]; TempMax <- TempMax[Select]; } }
WTxt <- paste(WTxt,"\t -> Data were trunced to keep the most recent available time-steps \n",sep="");
WTxt <- paste(WTxt,"\t -> ", length(Select), " time-steps were kept \n",sep="");
if(!is.null(WTxt) & verbose) { warning(WTxt); }
##DataAltiExtrapolation_Valery
if("CemaNeige" %in% ObjectClass) {
RESULT <- DataAltiExtrapolation_Valery(DatesR = DatesR, Precip = Precip, PrecipScale = PrecipScale, TempMean = TempMean, TempMin = TempMin, TempMax = TempMax, ZInputs = ZInputs, HypsoData = HypsoData, NLayers = NLayers, verbose = verbose)
if(verbose) {
if(NLayers == 1) {
message("\t Input series were successfully created on 1 elevation layer for use by CemaNeige")
} else {
message("\t Input series were successfully created on ", NLayers, " elevation layers for use by CemaNeige")
}
}
InputsModel <- list(DatesR=DatesR)
if("GR" %in% ObjectClass) {
InputsModel <- c(InputsModel,list(Precip=as.double(Precip),PotEvap=as.double(PotEvap))); }
if("CemaNeige" %in% ObjectClass) {
InputsModel <- c(InputsModel,list(LayerPrecip=RESULT$LayerPrecip,LayerTempMean=RESULT$LayerTempMean,
LayerFracSolidPrecip=RESULT$LayerFracSolidPrecip,ZLayers=RESULT$ZLayers)); }
class(InputsModel) <- c("InputsModel",ObjectClass);
return(InputsModel);
}