% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CreateInputsCrit.R \encoding{UTF-8} \name{CreateInputsCrit} \alias{CreateInputsCrit} \title{Creation of the InputsCrit object required to the ErrorCrit functions} \usage{ CreateInputsCrit(FUN_CRIT, InputsModel, RunOptions, Qobs, BoolCrit = NULL, transfo = "", Ind_zeroes = NULL, epsilon = NULL) } \arguments{ \item{FUN_CRIT}{[function] error criterion function (e.g. ErrorCrit_RMSE, ErrorCrit_NSE)} \item{InputsModel}{[object of class \emph{InputsModel}] see \code{\link{CreateInputsModel}} for details} \item{RunOptions}{[object of class \emph{RunOptions}] see \code{\link{CreateRunOptions}} for details} \item{Qobs}{[numeric] series of observed discharges [mm]} \item{BoolCrit}{(optional) [boolean] boolean giving the time steps to consider in the computation (all time steps are consider by default)} \item{transfo}{(optional) [character] name of the transformation (e.g. "", "sqrt", "log", "inv", "sort")} \item{Ind_zeroes}{(optional) [numeric] indices of the time-steps where zeroes are observed} \item{epsilon}{(optional) [numeric] epsilon to add to all Qobs and Qsim if \emph{$Ind_zeroes} is not empty} } \value{ [list] object of class \emph{InputsCrit} containing the data required to evaluate the model outputs; it can include the following: \tabular{ll}{ \emph{$BoolCrit } \tab [boolean] boolean giving the time steps to consider in the computation \cr \emph{$Qobs } \tab [numeric] series of observed discharges [mm] \cr \emph{$transfo } \tab [character] name of the transformation (e.g. "", "sqrt", "log", "inv", "sort") \cr \emph{$Ind_zeroes} \tab [numeric] indices of the time-steps where zeroes are observed \cr \emph{$epsilon } \tab [numeric] epsilon to add to all Qobs and Qsim if \emph{$Ind_zeroes} is not empty \cr } } \description{ Creation of the InputsCrit object required to the ErrorCrit functions. } \details{ Users wanting to use FUN_CRIT functions that are not included in the package must create their own InputsCrit object accordingly. } \examples{ ## load of catchment data require(airGR) data(L0123001) ## preparation of the InputsModel object InputsModel <- CreateInputsModel(FUN_MOD=RunModel_GR4J,DatesR=BasinObs$DatesR, Precip=BasinObs$P,PotEvap=BasinObs$E) ## run period selection Ind_Run <- seq(which(format(BasinObs$DatesR,format="\%d/\%m/\%Y \%H:\%M")=="01/01/1990 00:00"), which(format(BasinObs$DatesR,format="\%d/\%m/\%Y \%H:\%M")=="31/12/1999 00:00")) ## preparation of the RunOptions object RunOptions <- CreateRunOptions(FUN_MOD=RunModel_GR4J,InputsModel=InputsModel,IndPeriod_Run=Ind_Run) ## simulation Param <- c(734.568,-0.840,109.809,1.971) OutputsModel <- RunModel(InputsModel=InputsModel,RunOptions=RunOptions, Param=Param,FUN=RunModel_GR4J) ## efficiency criterion: Nash-Sutcliffe Efficiency InputsCrit <- CreateInputsCrit(FUN_CRIT=ErrorCrit_NSE,InputsModel=InputsModel, RunOptions=RunOptions,Qobs=BasinObs$Qmm[Ind_Run]) OutputsCrit <- ErrorCrit_NSE(InputsCrit=InputsCrit,OutputsModel=OutputsModel) cat(paste(" Crit ",OutputsCrit$CritName," ",round(OutputsCrit$CritValue,4),"\\n",sep="")) ## efficiency criterion: Nash-Sutcliffe Efficiency on log-transformed flows transfo <- "log" InputsCrit <- CreateInputsCrit(FUN_CRIT=ErrorCrit_NSE,InputsModel=InputsModel, RunOptions=RunOptions,Qobs=BasinObs$Qmm[Ind_Run],transfo=transfo) OutputsCrit <- ErrorCrit_NSE(InputsCrit=InputsCrit,OutputsModel=OutputsModel) cat(paste(" Crit ",OutputsCrit$CritName," ",round(OutputsCrit$CritValue,4),"\\n",sep="")) ## efficiency criterion: Nash-Sutcliffe Efficiency above a threshold (q75\%) BoolCrit <- rep(TRUE,length(BasinObs$Qmm[Ind_Run])); BoolCrit[BasinObs$Qmm[Ind_Run]<quantile(BasinObs$Qmm[Ind_Run],0.75,na.rm=TRUE)] <- FALSE; InputsCrit <- CreateInputsCrit(FUN_CRIT=ErrorCrit_NSE,InputsModel=InputsModel, RunOptions=RunOptions,Qobs=BasinObs$Qmm[Ind_Run],BoolCrit=BoolCrit) OutputsCrit <- ErrorCrit_NSE(InputsCrit=InputsCrit,OutputsModel=OutputsModel) cat(paste(" Crit ",OutputsCrit$CritName," ",round(OutputsCrit$CritValue,4),"\\n",sep="")) ## efficiency criterion: Kling-Gupta Efficiency InputsCrit <- CreateInputsCrit(FUN_CRIT=ErrorCrit_KGE,InputsModel=InputsModel, RunOptions=RunOptions,Qobs=BasinObs$Qmm[Ind_Run]) OutputsCrit <- ErrorCrit_KGE(InputsCrit=InputsCrit,OutputsModel=OutputsModel) cat(paste(" Crit ",OutputsCrit$CritName," ",round(OutputsCrit$CritValue,4),"\\n",sep="")) cat(paste("SubCrit ",OutputsCrit$SubCritNames," ",round(OutputsCrit$SubCritValues,4),"\\n",sep="")) ## efficiency criterion: Kling-Gupta Efficiency below a threshold (q10\%) on log-trqansformed flows transfo <- "log" BoolCrit <- rep(TRUE,length(BasinObs$Qmm[Ind_Run])); BoolCrit[BasinObs$Qmm[Ind_Run]>quantile(BasinObs$Qmm[Ind_Run],0.10,na.rm=TRUE)] <- FALSE; InputsCrit <- CreateInputsCrit(FUN_CRIT=ErrorCrit_KGE,InputsModel=InputsModel,RunOptions=RunOptions, Qobs=BasinObs$Qmm[Ind_Run],BoolCrit=BoolCrit,transfo=transfo) OutputsCrit <- ErrorCrit_KGE(InputsCrit=InputsCrit,OutputsModel=OutputsModel) cat(paste(" Crit ",OutputsCrit$CritName," ",round(OutputsCrit$CritValue,4),"\\n",sep="")) cat(paste("SubCrit ",OutputsCrit$SubCritNames," ",round(OutputsCrit$SubCritValues,4),"\\n",sep="")) } \author{ Laurent Coron (June 2014) } \seealso{ \code{\link{RunModel}}, \code{\link{CreateInputsModel}}, \code{\link{CreateRunOptions}}, \code{\link{CreateCalibOptions}} }