\encoding{UTF-8} \name{RunModel_CemaNeigeGR4J} \alias{RunModel_CemaNeigeGR4J} \title{Run with the CemaNeigeGR4J hydrological model} \usage{ RunModel_CemaNeigeGR4J(InputsModel, RunOptions, Param, IsHyst = FALSE) } \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 6 (or 8 parameters if \code{IsHyst = TRUE}) \tabular{ll}{ GR4J X1 \tab production store capacity [mm] \cr GR4J X2 \tab intercatchment exchange coefficient [mm/d] \cr GR4J X3 \tab routing store capacity [mm] \cr GR4J X4 \tab unit hydrograph time constant [d] \cr CemaNeige X1 \tab weighting coefficient for snow pack thermal state [-] \cr CemaNeige X2 \tab degree-day melt coefficient [mm/°C/d] \cr CemaNeige X3 \tab (optional) accumulation threshold [mm] (needed if \code{IsHyst = TRUE}) \cr CemaNeige X4 \tab (optional) percentage (between 0 and 1) of annual snowfall defining the melt threshold [-] (needed if \code{IsHyst = TRUE}) \cr }} \item{IsHyst}{} } \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 [mm] \cr \emph{$Pn } \tab [numeric] series of net rainfall [mm/d] \cr \emph{$Ps } \tab [numeric] series of the part of Pn filling the production store [mm/d] \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 UH1 outflow (Q9) [mm/d] \cr \emph{$Q1 } \tab [numeric] series of UH2 outflow (Q1) [mm/d] \cr \emph{$Rout } \tab [numeric] series of routing store level [mm] \cr \emph{$Exch } \tab [numeric] series of potential semi-exchange between catchments [mm/d] \cr \emph{$AExch1 } \tab [numeric] series of actual exchange between catchments for branch 1 [mm/d] \cr \emph{$AExch2 } \tab [numeric] series of actual exchange between catchments for branch 2 [mm/d] \cr \emph{$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 UH2 after exchange (QD) [mm/d] \cr \emph{$Qsim } \tab [numeric] series of simulated discharge [mm/d] \cr \emph{$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 [°C] \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{$CemaNeigeLayers[[iLayer]]$Temp } \tab [numeric] series of air temperature [°C] \cr \emph{$CemaNeigeLayers[[iLayer]]$Gthreshold } \tab [numeric] series of melt threshold [mm] \cr \emph{$CemaNeigeLayers[[iLayer]]$Glocalmax } \tab [numeric] series of local melt threshold for hysteresis [mm] \cr \emph{$StateEnd} \tab [numeric] states at the end of the run: \cr\tab store & unit hydrographs levels [mm], CemaNeige states [mm & °C], \cr\tab see \code{\link{CreateIniStates}} for more details \cr } (refer to the provided references or to the package source code for further details on these model outputs) } \description{ Function which performs a single run for the CemaNeige-GR4J daily lumped model over the test period. } \details{ If \code{IsHyst = FALSE}, the original CemaNeige version from Valéry et al. (2014) is used. \cr If \code{IsHyst = TRUE}, the CemaNeige version from Riboust et al. (2019) is used. Compared to the original version, this version of CemaNeige needs two more parameters and it includes a representation of the hysteretic relationship between the Snow Cover Area (SCA) and the Snow Water Equivalent (SWE) in the catchment. The hysteresis included in airGR is the Modified Linear hysteresis (LH*); it is represented on panel b) of Fig. 3 in Riboust et al. (2019). Riboust et al. (2019) advise to use the LH* version of CemaNeige with parameters calibrated using an objective function combining 75 \% of KGE calculated on discharge simulated from a rainfall-runoff model compared to observed discharge and 5 \% of KGE calculated on SCA on 5 CemaNeige elevation bands compared to satellite (e.g. MODIS) SCA (see Eq. (18), Table 3 and Fig. 6). Riboust et al. (2019)'s tests were realized with GR4J as the chosen rainfall-runoff model. \cr \cr For further details on the model, see the references section. \cr For further details on the argument structures and initialisation options, see \code{\link{CreateRunOptions}}. } \examples{ library(airGR) ## loading catchment data data(L0123002) ## preparation of the InputsModel object InputsModel <- CreateInputsModel(FUN_MOD = RunModel_CemaNeigeGR4J, DatesR = BasinObs$DatesR, Precip = BasinObs$P, PotEvap = BasinObs$E, TempMean = BasinObs$T, ZInputs = median(BasinInfo$HypsoData), HypsoData = BasinInfo$HypsoData, NLayers = 5) ## run period selection Ind_Run <- seq(which(format(BasinObs$DatesR, format = "\%d/\%m/\%Y")=="01/01/1990"), which(format(BasinObs$DatesR, format = "\%d/\%m/\%Y")=="31/12/1999")) ## preparation of the RunOptions object RunOptions <- CreateRunOptions(FUN_MOD = RunModel_CemaNeigeGR4J, InputsModel = InputsModel, IndPeriod_Run = Ind_Run) ## simulation Param <- c(408.774, 2.646, 131.264, 1.174, 0.962, 2.249) OutputsModel <- RunModel_CemaNeigeGR4J(InputsModel = InputsModel, RunOptions = RunOptions, Param = Param) ## results preview plot(OutputsModel, Qobs = BasinObs$Qmm[Ind_Run]) ## efficiency criterion: Nash-Sutcliffe Efficiency InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel, RunOptions = RunOptions, obs = BasinObs$Qmm[Ind_Run], varObs = "Q") OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel) } ## simulation with the Linear Hysteresis Param <- c(408.774, 2.646, 131.264, 1.174, 0.962, 2.249, 100, 0.4) OutputsModel <- RunModel_CemaNeigeGR4J(InputsModel = InputsModel, RunOptions = RunOptions, Param = Param, IsHyst = TRUE) ## results preview plot(OutputsModel, Qobs = BasinObs$Qmm[Ind_Run]) ## efficiency criterion: Nash-Sutcliffe Efficiency InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel, RunOptions = RunOptions, obs = BasinObs$Qmm[Ind_Run], varObs = "Q") OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel) \author{ Laurent Coron, Audrey Valéry, Claude Michel, Charles Perrin, Vazken Andréassian, Olivier Delaigue } \references{ Perrin, C., C. Michel and V. Andréassian (2003), Improvement of a parsimonious model for streamflow simulation, Journal of Hydrology, 279(1-4), 275-289, doi:10.1016/S0022-1694(03)00225-7. \cr Riboust, P., G. Thirel, N. Le Moine and P. Ribstein (2019), Revisiting a simple degree-day model for integrating satellite data: implementation of SWE-SCA hystereses. Journal of Hydrology and Hydromechanics, doi:10.2478/johh-2018-0004, 67, 1, 70–81. \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_CemaNeige}}, \link{RunModel_CemaNeigeGR5J}}, \code{\link{RunModel_CemaNeigeGR6J}}, \code{\link{RunModel_GR4J}}, \code{\link{CreateInputsModel}}, \code{\link{CreateRunOptions}}, \code{\link{CreateIniStates}}. }