Learn R Programming

airGR (version 1.7.6)

Calibration: Calibration algorithm that optimises the error criterion selected as objective function using the provided functions

Description

Calibration algorithm that optimises the error criterion selected as objective function using the provided functions.

Usage

Calibration(InputsModel, RunOptions, InputsCrit, CalibOptions,
            FUN_MOD, FUN_CRIT, FUN_CALIB = Calibration_Michel,
            FUN_TRANSFO = NULL, verbose = TRUE, ...)

Value

[list] see Calibration_Michel

Arguments

InputsModel

[object of class InputsModel] see CreateInputsModel for details

RunOptions

[object of class RunOptions] see CreateRunOptions for details

InputsCrit

[object of class InputsCrit] see CreateInputsCrit for details

CalibOptions

[object of class CalibOptions] see CreateCalibOptions for details

FUN_MOD

[function] hydrological model function (e.g. RunModel_GR4J, RunModel_CemaNeigeGR4J)

FUN_CRIT

(deprecated) [function] error criterion function (e.g. ErrorCrit_RMSE, ErrorCrit_NSE)

FUN_CALIB

(deprecated) [function] calibration algorithm function (e.g. Calibration_Michel), default = Calibration_Michel

FUN_TRANSFO

(optional) [function] model parameters transformation function, if the FUN_MOD used is native in the package FUN_TRANSFO is automatically defined

verbose

(optional) [boolean] boolean indicating if the function is run in verbose mode or not, default = TRUE

...

Further arguments to pass to RunModel

Author

Laurent Coron, Olivier Delaigue

See Also

Calibration_Michel, ErrorCrit, TransfoParam, CreateInputsModel, CreateRunOptions, CreateInputsCrit, CreateCalibOptions.

Examples

Run this code
library(airGR)

## loading catchment data
data(L0123001)

## preparation of InputsModel object
InputsModel <- CreateInputsModel(FUN_MOD = RunModel_GR4J, DatesR = BasinObs$DatesR,
                                 Precip = BasinObs$P, PotEvap = BasinObs$E)

## calibration period selection
Ind_Run <- seq(which(format(BasinObs$DatesR, format = "%Y-%m-%d")=="1990-01-01"),
               which(format(BasinObs$DatesR, format = "%Y-%m-%d")=="1999-12-31"))

## preparation of RunOptions object
RunOptions <- CreateRunOptions(FUN_MOD = RunModel_GR4J,
                               InputsModel = InputsModel, IndPeriod_Run = Ind_Run)

## calibration criterion: preparation of the InputsCrit object
InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel,
                               RunOptions = RunOptions, Obs = BasinObs$Qmm[Ind_Run])

## preparation of CalibOptions object
CalibOptions <- CreateCalibOptions(FUN_MOD = RunModel_GR4J, FUN_CALIB = Calibration_Michel)

## calibration
OutputsCalib <- Calibration(InputsModel = InputsModel, RunOptions = RunOptions,
                            InputsCrit = InputsCrit, CalibOptions = CalibOptions,
                            FUN_MOD = RunModel_GR4J,
                            FUN_CALIB = Calibration_Michel)

## simulation
Param <- OutputsCalib$ParamFinalR
OutputsModel <- RunModel(InputsModel = InputsModel, RunOptions = RunOptions,
                         Param = Param, FUN = RunModel_GR4J)

## 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)

## efficiency criterion: Kling-Gupta Efficiency
InputsCrit  <- CreateInputsCrit(FUN_CRIT = ErrorCrit_KGE, InputsModel = InputsModel,
                                RunOptions = RunOptions, Obs = BasinObs$Qmm[Ind_Run])
OutputsCrit <- ErrorCrit_KGE(InputsCrit = InputsCrit, OutputsModel = OutputsModel)

Run the code above in your browser using DataLab