ErrorCrit.Rd 4.03 KiB
\encoding{UTF-8}
\name{ErrorCrit}
\alias{ErrorCrit}
\title{Error criterion using the provided function}
\usage{
ErrorCrit(InputsCrit, OutputsModel, FUN_CRIT, warnings = TRUE, verbose = TRUE)
\arguments{
\item{InputsCrit}{[object of class \emph{InputsCrit}] see \code{\link{CreateInputsCrit}} for details}
\item{OutputsModel}{[object of class \emph{OutputsModel}] see \code{\link{RunModel_GR4J}} or \code{\link{RunModel_CemaNeigeGR4J}} for details}
\item{FUN_CRIT}{[function] error criterion function (e.g. \code{ErrorCrit_RMSE}, \code{ErrorCrit_NSE})}
\item{warnings}{(optional) [boolean] boolean indicating if the warning messages are shown, default = \code{TRUE}}
\item{verbose}{(optional) [boolean] boolean indicating if the function is run in verbose mode or not, default = \code{TRUE}}
\value{
[list] list containing the function outputs, see \code{\link{ErrorCrit_RMSE}} or \code{\link{ErrorCrit_NSE}} for details
\description{
Function which computes an error criterion with the provided function.
\examples{
library(airGR)
## loading catchment data
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")=="01/01/1990"), 
               which(format(BasinObs$DatesR, format = "\%d/\%m/\%Y")=="31/12/1999"))
## preparation of the RunOptions object
RunOptions <- CreateRunOptions(FUN_MOD = RunModel_GR4J,
                               InputsModel = InputsModel, IndPeriod_Run = Ind_Run)
## simulation
Param <- c(734.568, -0.840, 109.809, 1.971)
OutputsModel <- RunModel(InputsModel = InputsModel, RunOptions = RunOptions, 
                         Param = Param, FUN = RunModel_GR4J)
## efficiency criterion: Nash-Sutcliffe Efficiency
InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel, 
                               RunOptions = RunOptions, Qobs = BasinObs$Qmm[Ind_Run])
OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel)
## efficiency criterion: Nash-Sutcliffe Efficiency on log-transformed flows
transfo <- "log"
InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel, 
                               RunOptions = RunOptions, Qobs = BasinObs$Qmm[Ind_Run],
                               transfo = transfo)
OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel)
7172737475767778798081828384858687888990919293949596979899100101102103104105
## efficiency criterion: Nash-Sutcliffe Efficiency above a threshold (q75\%) BoolCrit <- rep(TRUE, length(BasinObs$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$Qmm[Ind_Run], BoolCrit = BoolCrit) OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel) ## efficiency criterion: Kling-Gupta Efficiency InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_KGE, InputsModel = InputsModel, RunOptions = RunOptions, Qobs = BasinObs$Qmm[Ind_Run]) OutputsCrit <- ErrorCrit_KGE(InputsCrit = InputsCrit, OutputsModel = OutputsModel) ## efficiency criterion: Kling-Gupta Efficiency below a threshold (q10\%) on log-transformed 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) } \author{ Laurent Coron } \seealso{ \code{\link{ErrorCrit_RMSE}}, \code{\link{ErrorCrit_NSE}}, \code{\link{ErrorCrit_KGE}} }