RunModel_GR4H: Run with the GR4H hydrological model

Description

Function which performs a single run for the GR4H hourly lumped model.

Usage

RunModel_GR4H(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 4 parameters

GR4H X1	production store capacity [mm]
GR4H X2	groundwater exchange coefficient [mm/h]
GR4H X3	routing store capacity [mm]
GR4H X4	unit hydrograph time constant [h]

Value

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

$DatesR	[POSIXlt] series of dates
$PotEvap	[numeric] series of input potential evapotranspiration [mm/h]
$Precip	[numeric] series of input total precipitation [mm/h]
$Prod	[numeric] series of production store level [mm]
$AE	[numeric] series of actual evapotranspiration [mm/h]
$Perc	[numeric] series of percolation (PERC) [mm/h]
$PR	[numeric] series of PR=Pn-Ps+Perc [mm/h]
$Q9	[numeric] series of UH1 outflow (Q9) [mm/h]
$Q1	[numeric] series of UH2 outflow (Q1) [mm/h]
$Rout	[numeric] series of routing store level [mm]
$Exch	[numeric] series of potential semi-exchange between catchments [mm/h]
$AExch	[numeric] series of actual exchange between catchments (1+2) [mm/h]
$QR	[numeric] series of routing store outflow (QR) [mm/h]
$QD	[numeric] series of direct flow from UH2 after exchange (QD) [mm/h]
$Qsim	[numeric] series of simulated discharge [mm/h]
$StateEnd	[numeric] states at the end of the run (res. levels, UH1 levels, UH2 levels) [mm], 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

Mathevet, T. (2005). Quels mod<U+00E8>les pluie-d<U+00E9>bit globaux pour le pas de temps horaire ? D<U+00E9>veloppement empirique et comparaison de mod<U+00E8>les sur un large <U+00E9>chantillon de bassins versants. PhD thesis (in French), ENGREF - Cemagref (Antony), Paris, France.

Le Moine, N. (2008). Le bassin versant de surface vu par le souterrain : une voie d'am<U+00E9>lioration des performances et du r<U+00E9>alisme des mod<U+00E8>les pluie-d<U+00E9>bit ? PhD thesis (french), UPMC, Paris, France.

Examples

Run this code

# NOT RUN {
library(airGR)

## load of catchment data
data(L0123003)

## preparation of the InputsModel object
InputsModel <- CreateInputsModel(FUN_MOD = RunModel_GR4H, DatesR = BasinObs$DatesR,
                                 Precip = BasinObs$P, PotEvap = BasinObs$E)

## run period selection
Ind_Run <- seq(which(format(BasinObs$DatesR, format = "%Y-%m-%d %H:%M")=="2004-03-01 00:00"),
               which(format(BasinObs$DatesR, format = "%Y-%m-%d %H:%M")=="2008-12-31 23:00"))

## preparation of the RunOptions object
RunOptions <- CreateRunOptions(FUN_MOD = RunModel_GR4H,
                               InputsModel = InputsModel, IndPeriod_Run = Ind_Run)

## simulation
Param <- c(X1 = 521.113, X2 = -2.918, X3 = 218.009, X4 = 4.124)
OutputsModel <- RunModel_GR4H(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])
OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel)
# }

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