View source: R/CreateErrorCrit_GAPX.R
CreateErrorCrit_GAPX | R Documentation |
Function which creates the function ErrorCrit_GAPX
.
The produced function ErrorCrit_GAPX
allows computing an error criterion based on the GAPX formula proposed by Lavenne et al. (2019).
CreateErrorCrit_GAPX(FUN_TRANSFO)
FUN_TRANSFO |
[function] The parameter transformation function used with the model |
In addition to the criterion value, the function outputs include a multiplier (-1 or +1) that allows
the use of the function for model calibration: the product CritValue \times Multiplier
is the criterion to be minimised
(Multiplier = -1
for NSE).
[function] function ErrorCrit_GAPX
embedding the parameter transformation function used with the model
David Dorchies
de Lavenne, A., Andréassian, V., Thirel, G., Ramos, M.-H. and Perrin, C. (2019). A Regularization Approach to Improve the Sequential Calibration of a Semidistributed Hydrological Model. Water Resources Research 55, 8821–8839. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1029/2018WR024266")}
CreateInputsCrit
, ErrorCrit_RMSE
, ErrorCrit_NSE
,
ErrorCrit_KGE
, ErrorCrit_KGE2
library(airGR)
## loading catchment data
data(L0123001)
## preparation of the 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)
## simulation
Param <- c(X1 = 257.238, X2 = 1.012, X3 = 88.235, X4 = 2.208)
OutputsModel <- RunModel_GR4J(InputsModel = InputsModel,
RunOptions = RunOptions, Param = Param)
## Creation of the ErrorCrit GAPX function
ErrorCrit_GAPX <- CreateErrorCrit_GAPX(TransfoParam_GR4J)
## The "a priori" parameters for GAPX
AprParamR <- c(X1 = 157, X2 = 0.8, X3 = 100, X4 = 1.5)
AprParamT <- TransfoParam_GR4J(AprParamR, "RT")
## Single efficiency criterion: GAPX with a priori parameters
InputsCrit <- CreateInputsCrit(ErrorCrit_GAPX,
InputsModel,
RunOptions,
Obs = AprParamT,
VarObs = "ParamT")
ErrorCrit <- ErrorCrit_GAPX(InputsCrit, OutputsModel)
str(ErrorCrit)
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