RunModel_GR1A.Rd 3.96 KB
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\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}

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\item{Param}{[numeric] vector of 1 parameter
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\tabular{ll}{                                                                      
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GR1A X1      \tab model parameter [-] \cr
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}}
}
\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/y]                 \cr
         \emph{$Precip  }          \tab [numeric] series of input total precipitation [mm/y]                          \cr
         \emph{$Qsim    }          \tab [numeric] series of Qsim [mm/y]                                               \cr
         \emph{$StateEnd}          \tab [numeric] states at the end of the run (NULL) [-] \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{
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Function which performs a single run for the GR1A annual lumped model over the test period.
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}
\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{
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## loading catchment data
library(airGR)
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data(L0123001)

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## conversion of example data from daily to yearly time step
TabSeries       <- data.frame(BasinObs$DatesR, BasinObs$P, BasinObs$E, BasinObs$T, BasinObs$Qmm)
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TimeFormat      <- "daily"
NewTimeFormat   <- "yearly"
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ConvertFun      <- c("sum", "sum", "mean", "sum")
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YearFirstMonth  <- 09;
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NewTabSeries    <- SeriesAggreg(TabSeries = TabSeries, TimeFormat = TimeFormat, 
                                NewTimeFormat = NewTimeFormat, ConvertFun = ConvertFun, 
                                YearFirstMonth = YearFirstMonth)
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BasinObs        <- NewTabSeries
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names(BasinObs) <- c("DatesR", "P", "E", "T", "Qmm")
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## preparation of the InputsModel object
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InputsModel <- CreateInputsModel(FUN_MOD = RunModel_GR1A, DatesR = BasinObs$DatesR, 
                                 Precip = BasinObs$P, PotEvap = BasinObs$E)
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## run period selection
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Ind_Run <- seq(which(format(BasinObs$DatesR, format = "\%Y")=="1990"), 
               which(format(BasinObs$DatesR, format = "\%Y")=="1999"))
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## preparation of the RunOptions object
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RunOptions <- CreateRunOptions(FUN_MOD = RunModel_GR1A,
                               InputsModel = InputsModel, IndPeriod_Run = Ind_Run)
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## simulation
Param <- c(0.840)
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OutputsModel <- RunModel_GR1A(InputsModel = InputsModel, RunOptions = RunOptions, Param = Param)
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## results preview
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plot_OutputsModel(OutputsModel = OutputsModel, Qobs = BasinObs$Qmm[Ind_Run])
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## efficiency criterion: Nash-Sutcliffe Efficiency
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InputsCrit  <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel, 
                                RunOptions = RunOptions, Qobs = BasinObs$Qmm[Ind_Run])
OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel)
cat(paste("  Crit  ", OutputsCrit$CritName, "  ", round(OutputsCrit$CritValue, 4), "\\n", sep = ""))
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}
\author{
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Laurent Coron, Claude Michel (March 2015)
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}
\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
}