RunModel_GR1A.Rd 3.81 KB
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/RunModel_GR1A.R
\encoding{UTF-8}
\name{RunModel_GR1A}
\alias{RunModel_GR1A}
\title{Run with the GR1A hydrological model}
\usage{
RunModel_GR1A(InputsModel, RunOptions, Param)
}
\arguments{
\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{Param}{[numeric] vector of 4 parameters
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\tabular{ll}{                                                                      
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GR1A X1      \tab model parameter [mm] \cr
}}
}
\value{
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[list] list containing the function outputs organised as follows:                                         
         \tabular{ll}{                                                                                         
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         \emph{$DatesR  }          \tab [POSIXlt] series of dates                                                    \cr
         \emph{$PotEvap }          \tab [numeric] series of input potential evapotranspiration [mm/h]                 \cr
         \emph{$Precip  }          \tab [numeric] series of input total precipitation [mm/h]                          \cr
         \emph{$Qsim    }          \tab [numeric] series of Qsim [mm/h]                                               \cr
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         }                                                                                                     
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         (refer to the provided references or to the package source code for further details on these model outputs)
}
\description{
Function which performs a single run for the GR1A yearly lumped model.
}
\details{
For further details on the model, see the references section.
For further details on the argument structures and initialisation options, see \code{\link{CreateRunOptions}}.
}
\examples{
## load of catchment data
require(airGR)
data(L0123001)

## conversion of example data from daily to yearly time-step
TabSeries       <- data.frame(BasinObs$DatesR,BasinObs$P,BasinObs$E,BasinObs$T,BasinObs$Qmm)
TimeFormat      <- "daily"
NewTimeFormat   <- "yearly"
ConvertFun      <- c("sum","sum","mean","sum")
YearFirstMonth  <- 09;
NewTabSeries    <- SeriesAggreg(TabSeries=TabSeries,TimeFormat=TimeFormat,
                                NewTimeFormat=NewTimeFormat,ConvertFun=ConvertFun,
                                YearFirstMonth=YearFirstMonth)
BasinObs        <- NewTabSeries
names(BasinObs) <- c("DatesR","P","E","T","Qmm")

## preparation of the InputsModel object
InputsModel <- CreateInputsModel(FUN_MOD=RunModel_GR1A,DatesR=BasinObs$DatesR,
                                 Precip=BasinObs$P,PotEvap=BasinObs$E)

## run period selection
Ind_Run <- seq(which(format(BasinObs$DatesR,format="\%Y")=="1990"),
               which(format(BasinObs$DatesR,format="\%Y")=="1999"))

## preparation of the RunOptions object
RunOptions <- CreateRunOptions(FUN_MOD=RunModel_GR1A,InputsModel=InputsModel,IndPeriod_Run=Ind_Run)

## simulation
Param <- c(0.840)
OutputsModel <- RunModel_GR1A(InputsModel=InputsModel,RunOptions=RunOptions,Param=Param)

## results preview
plot_OutputsModel(OutputsModel=OutputsModel,Qobs=BasinObs$Qmm[Ind_Run])

## 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=""))

}
\author{
Laurent Coron (March 2015)
}
\references{
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Mouelhi S. (2003), 
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      Vers une chaîne cohérente de modèles pluie-débit conceptuels globaux aux pas de temps pluriannuel, annuel, mensuel et journalier,
      PhD thesis (in French), ENGREF, Cemagref Antony, France. \cr
}