airGR (version 1.0.15.2)

RunModel_CemaNeigeGR4J: Run with the CemaNeigeGR4J hydrological model

Description

Function which performs a single run for the CemaNeige-GR4J daily lumped model over the test period.

Usage

RunModel_CemaNeigeGR4J(InputsModel, RunOptions, Param)

Arguments

InputsModel

[object of class InputsModel] see CreateInputsModel for details

RunOptions

[object of class RunOptions] see CreateRunOptions for details

Param

[numeric] vector of 6 parameters

GR4J X1	production store capacity [mm]
GR4J X2	intercatchment exchange coefficient [mm/d]
GR4J X3	routing store capacity [mm]
GR4J X4	unit hydrograph time constant [d]
CemaNeige X1	weighting coefficient for snow pack thermal state [-]
CemaNeige X2	degree-day melt coefficient [mm/<U+00B0>C/d]

Value

[list] list containing the function outputs organised as follows:

$DatesR	[POSIXlt] series of dates
$PotEvap	[numeric] series of input potential evapotranspiration [mm/d]
$Precip	[numeric] series of input total precipitation [mm/d]
$Prod	[numeric] series of production store level [mm]
$Pn	[numeric] series of net rainfall [mm/d]
$Ps	[numeric] series of the part of Pn filling the production store [mm/d]
$AE	[numeric] series of actual evapotranspiration [mm/d]
$Perc	[numeric] series of percolation (PERC) [mm/d]
$PR	[numeric] series of PR=Pn-Ps+Perc [mm/d]
$Q9	[numeric] series of UH1 outflow (Q9) [mm/d]
$Q1	[numeric] series of UH2 outflow (Q1) [mm/d]
$Rout	[numeric] series of routing store level [mm]
$Exch	[numeric] series of potential semi-exchange between catchments [mm/d]
$AExch1	[numeric] series of actual exchange between catchments for branch 1 [mm/d]
$AExch2	[numeric] series of actual exchange between catchments for branch 2 [mm/d]
$AExch	[numeric] series of actual exchange between catchments (1+2) [mm/d]
$QR	[numeric] series of routing store outflow (QR) [mm/d]
$QD	[numeric] series of direct flow from UH2 after exchange (QD) [mm/d]
$Qsim	[numeric] series of simulated discharge [mm/d]
$CemaNeigeLayers	[list] list of CemaNeige outputs (1 list per layer)
$CemaNeigeLayers[[iLayer]]$Pliq	[numeric] series of liquid precip. [mm/d]
$CemaNeigeLayers[[iLayer]]$Psol	[numeric] series of solid precip. [mm/d]
$CemaNeigeLayers[[iLayer]]$SnowPack	[numeric] series of snow pack [mm]
$CemaNeigeLayers[[iLayer]]$ThermalState	[numeric] series of snow pack thermal state [<U+00B0>C]
$CemaNeigeLayers[[iLayer]]$Gratio	[numeric] series of Gratio [0-1]
$CemaNeigeLayers[[iLayer]]$PotMelt	[numeric] series of potential snow melt [mm/d]
$CemaNeigeLayers[[iLayer]]$Melt	[numeric] series of actual snow melt [mm/d]
$CemaNeigeLayers[[iLayer]]$PliqAndMelt	[numeric] series of liquid precip. + actual snow melt [mm/d]
$CemaNeigeLayers[[iLayer]]$Temp	[numeric] series of air temperature [<U+00B0>C]
$StateEnd	[numeric] states at the end of the run:
	store & unit hydrographs levels [mm], CemaNeige states [mm & <U+00B0>C],
	see CreateIniStates for more details

(refer to the provided references or to the package source code for further details on these model outputs)

Details

For further details on the model, see the references section. For further details on the argument structures and initialisation options, see CreateRunOptions.

References

Perrin, C., C. Michel and V. Andr<U+00E9>assian (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. Val<U+00E9>ry, A., V. Andr<U+00E9>assian 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. Val<U+00E9>ry, A., V. Andr<U+00E9>assian 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.

See Also

RunModel_CemaNeigeGR5J, RunModel_CemaNeigeGR6J, RunModel_GR4J, CreateInputsModel, CreateRunOptions, CreateIniStates.

Examples

# NOT RUN {
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, Qobs = BasinObs$Qmm[Ind_Run])
OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel)
# }