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RunModel_CemaNeigeGR5J.Rd 7.54 KiB
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/RunModel_CemaNeigeGR5J.R
\encoding{UTF-8}
\name{RunModel_CemaNeigeGR5J}
\alias{RunModel_CemaNeigeGR5J}
\title{Run with the CemaNeigeGR5J hydrological model}
\usage{
RunModel_CemaNeigeGR5J(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 7 parameters
\tabular{ll}{
GR5J X1      \tab production store capacity [mm]                                \cr
GR5J X2      \tab intercatchment exchange coefficient 1 [mm/d]                  \cr
GR5J X3      \tab routing store capacity [mm]                                   \cr
GR5J X4      \tab unit hydrograph time constant [d]                             \cr
GR5J X5      \tab intercatchment exchange coefficient 2 [-]                     \cr
CemaNeige X1 \tab weighting coefficient for snow pack thermal state [-]         \cr
CemaNeige X2 \tab degree-day melt coefficient [mm/degC/d]                       \cr
\value{
[list] list containing the function outputs organised as follows:
         \tabular{ll}{
         \emph{$DatesR  }          \tab [POSIXlt] series of dates                                                     \cr
         \emph{$PotEvap }          \tab [numeric] series of input potential evapotranspiration [mm/d]                 \cr
         \emph{$Precip  }          \tab [numeric] series of input total precipitation [mm/d]                          \cr
         \emph{$Prod    }          \tab [numeric] series of production store level (X(2)) [mm]                        \cr
         \emph{$AE      }          \tab [numeric] series of actual evapotranspiration [mm/d]                          \cr
         \emph{$Perc    }          \tab [numeric] series of percolation (PERC) [mm/d]                                 \cr
         \emph{$PR      }          \tab [numeric] series of PR=PN-PS+PERC [mm/d]                                      \cr
         \emph{$Q9      }          \tab [numeric] series of HU1 outflow (Q9) [mm/d]                                   \cr
         \emph{$Q1      }          \tab [numeric] series of HU2 outflow (Q1) [mm/d]                                   \cr
         \emph{$Rout    }          \tab [numeric] series of routing store level (X(1)) [mm]                           \cr
         \emph{$Exch    }          \tab [numeric] series of potential semi-exchange between catchments [mm/d]         \cr
         \emph{$AExch   }          \tab [numeric] series of actual exchange between catchments (1+2) [mm/d]           \cr
         \emph{$QR      }          \tab [numeric] series of routing store outflow (QR) [mm/d]                         \cr
         \emph{$QD      }          \tab [numeric] series of direct flow from HU2 after exchange (QD) [mm/d]           \cr
         \emph{$Qsim    }          \tab [numeric] series of Qsim [mm/d]                                               \cr
         \emph{$CemaNeigeLayers}   \tab [list] list of CemaNeige outputs (1 list per layer)                          \cr
         \emph{$CemaNeigeLayers[[iLayer]]$Pliq         }   \tab [numeric] series of liquid precip. [mm/d]                          \cr
         \emph{$CemaNeigeLayers[[iLayer]]$Psol         }   \tab [numeric] series of solid precip. [mm/d]                           \cr
         \emph{$CemaNeigeLayers[[iLayer]]$SnowPack     }   \tab [numeric] series of snow pack [mm]                                 \cr
         \emph{$CemaNeigeLayers[[iLayer]]$ThermalState }   \tab [numeric] series of snow pack thermal state [degC]                 \cr
         \emph{$CemaNeigeLayers[[iLayer]]$Gratio       }   \tab [numeric] series of Gratio [0-1]                                   \cr
         \emph{$CemaNeigeLayers[[iLayer]]$PotMelt      }   \tab [numeric] series of potential snow melt [mm/d]                     \cr
         \emph{$CemaNeigeLayers[[iLayer]]$Melt         }   \tab [numeric] series of actual snow melt [mm/d]                        \cr
         \emph{$CemaNeigeLayers[[iLayer]]$PliqAndMelt  }   \tab [numeric] series of liquid precip. + actual snow melt [mm/d]       \cr
         \emph{$StateEnd}                                  \tab [numeric] states at the end of the run: \cr\tab res. & HU levels [mm], CemaNeige states [mm & degC] \cr
         (refer to the provided references or to the package source code for further details on these model outputs)
\description{
Function which performs a single run for the CemaNeige-GR5J daily lumped model.
\details{
For further details on the model, see the references section.
For further details on the argument structures and initialisation options, see \code{\link{CreateRunOptions}}.
\examples{
## load of catchment data
require(airGR)
data(L0123002)
## preparation of the InputsModel object
InputsModel <- CreateInputsModel(FUN_MOD=RunModel_CemaNeigeGR5J,DatesR=BasinObs$DatesR,
7172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118
Precip=BasinObs$P,PotEvap=BasinObs$E,TempMean=BasinObs$T, ZInputs=BasinInfo$HypsoData[51],HypsoData=BasinInfo$HypsoData, NLayers=5) ## run period selection Ind_Run <- seq(which(format(BasinObs$DatesR,format="\%d/\%m/\%Y \%H:\%M")=="01/01/1990 00:00"), which(format(BasinObs$DatesR,format="\%d/\%m/\%Y \%H:\%M")=="31/12/1999 00:00")) ## preparation of the RunOptions object RunOptions <- CreateRunOptions(FUN_MOD=RunModel_CemaNeigeGR5J,InputsModel=InputsModel, IndPeriod_Run=Ind_Run) ## simulation Param <- c(179.139,-0.100,203.815,1.174,2.478,0.977,2.774) OutputsModel <- RunModel_CemaNeigeGR5J(InputsModel=InputsModel,RunOptions=RunOptions,Param=Param) ## results preview plot_OutputsModel(OutputsModel=OutputsModel,Qobs=BasinObs$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 (December 2013) } \references{ Le Moine, N. (2008), Le bassin versant de surface vu par le souterrain : une voie d'amélioration des performances et du réalisme des modèles pluie-débit ?, PhD thesis (french), UPMC, Paris, France. \cr Pushpalatha, R., C. Perrin, N. Le Moine, T. Mathevet and V. Andréassian (2011), A downward structural sensitivity analysis of hydrological models to improve low-flow simulation, Journal of Hydrology, 411(1-2), 66-76, doi:10.1016/j.jhydrol.2011.09.034. \cr Valéry, A., V. Andréassian and C. Perrin (2014), "As simple as possible but not simpler": what is useful in a temperature-based snow-accounting routine? Part 1 - Comparison of six snow accounting routines on 380 catchments, Journal of Hydrology, doi:10.1016/j.jhydrol.2014.04.059. \cr Valéry, A., V. Andréassian and C. Perrin (2014), "As simple as possible but not simpler": What is useful in a temperature-based snow-accounting routine? Part 2 - Sensitivity analysis of the Cemaneige snow accounting routine on 380 catchments, Journal of Hydrology, doi:10.1016/j.jhydrol.2014.04.058. } \seealso{ \code{\link{RunModel_CemaNeigeGR4J}}, \code{\link{RunModel_CemaNeigeGR6J}}, \code{\link{RunModel_GR5J}}, \code{\link{CreateInputsModel}}, \code{\link{CreateRunOptions}}. }