\encoding{UTF-8} \name{CreateInputsCrit} \alias{CreateInputsCrit} \title{Creation of the InputsCrit object required to the ErrorCrit functions} \usage{ CreateInputsCrit(FUN_CRIT, InputsModel, RunOptions, Qobs, BoolCrit = NULL, transfo = "", Ind_zeroes = NULL, epsilon = NULL, verbose = TRUE) } \arguments{ \item{FUN_CRIT}{[function] error criterion function (e.g. ErrorCrit_RMSE, ErrorCrit_NSE)} \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{Qobs}{[numeric] series of observed discharges [mm/time step]} \item{BoolCrit}{(optional) [boolean] boolean giving the time steps to consider in the computation (all time steps are consider by default)} \item{transfo}{(optional) [character] name of the transformation (e.g. \code{""}, \code{"sqrt"}, \code{"log"}, \code{"inv"}, \code{"sort"})} \item{Ind_zeroes}{(optional) [numeric] indices of the time steps where zeroes are observed} \item{epsilon}{(optional) [numeric] epsilon to add to all Qobs and Qsim if \emph{$Ind_zeroes} is not empty} \item{verbose}{(optional) [boolean] boolean indicating if the function is run in verbose mode or not, default = \code{TRUE}} } \value{ [list] object of class \emph{InputsCrit} containing the data required to evaluate the model outputs; it can include the following: \tabular{ll}{ \emph{$BoolCrit } \tab [boolean] boolean giving the time steps considered in the computation \cr \emph{$Qobs } \tab [numeric] series of observed discharges [mm/time step] \cr \emph{$transfo } \tab [character] name of the transformation (e.g. "", "sqrt", "log", "inv", "sort") \cr \emph{$Ind_zeroes} \tab [numeric] indices of the time steps where zeroes are observed \cr \emph{$epsilon } \tab [numeric] epsilon to add to all Qobs and Qsim if \emph{$Ind_zeroes} is not empty \cr } } \description{ Creation of the \emph{InputsCrit} object required to the \code{ErrorCrit*} functions. } \details{ Users wanting to use \code{FUN_CRIT} functions that are not included in the package must create their own InputsCrit object accordingly. \cr We do not advise computing KGE or KGE' with log-transformation as it might be wrongly influenced by discharge values close to 0 or 1 and it is dependent on the discharge unit. See Santos et al. (in review) for more details and alternative solutions (see the reference below). } \examples{ library(airGR) ## loading catchment data data(L0123001) ## preparation of the InputsModel object InputsModel <- CreateInputsModel(FUN_MOD = RunModel_GR4J, DatesR = BasinObs$DatesR, Precip = BasinObs$P, PotEvap = BasinObs$E) ## 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_GR4J, InputsModel = InputsModel, IndPeriod_Run = Ind_Run) ## simulation Param <- c(734.568, -0.840, 109.809, 1.971) OutputsModel <- RunModel(InputsModel = InputsModel, RunOptions = RunOptions, Param = Param, FUN = RunModel_GR4J) ## efficiency criterion: Nash-Sutcliffe Efficiency InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel, RunOptions = RunOptions, Qobs = BasinObs$Qmm[Ind_Run]) OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel) ## efficiency criterion: Nash-Sutcliffe Efficiency on log-transformed flows transfo <- "log" InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel, RunOptions = RunOptions, Qobs = BasinObs$Qmm[Ind_Run], transfo = transfo) OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel) ## efficiency criterion: Nash-Sutcliffe Efficiency above a threshold (q75\%) BoolCrit <- rep(TRUE, length(BasinObs$Qmm[Ind_Run])); BoolCrit[BasinObs$Qmm[Ind_Run]<quantile(BasinObs$Qmm[Ind_Run], 0.75, na.rm = TRUE)] <- FALSE InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel, RunOptions = RunOptions, Qobs = BasinObs$Qmm[Ind_Run], BoolCrit = BoolCrit) OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel) ## efficiency criterion: Kling-Gupta Efficiency InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_KGE, InputsModel = InputsModel, RunOptions = RunOptions, Qobs = BasinObs$Qmm[Ind_Run]) OutputsCrit <- ErrorCrit_KGE(InputsCrit = InputsCrit, OutputsModel = OutputsModel) ## efficiency criterion: Kling-Gupta Efficiency below a threshold (q10\%) on log-transformed flows transfo <- "log" BoolCrit <- rep(TRUE, length(BasinObs$Qmm[Ind_Run])); BoolCrit[BasinObs$Qmm[Ind_Run]>quantile(BasinObs$Qmm[Ind_Run], 0.10, na.rm = TRUE)] <- FALSE InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_KGE, InputsModel = InputsModel,RunOptions = RunOptions, Qobs = BasinObs$Qmm[Ind_Run], BoolCrit = BoolCrit, transfo = transfo) OutputsCrit <- ErrorCrit_KGE(InputsCrit = InputsCrit, OutputsModel = OutputsModel) } \author{ Laurent Coron, Olivier Delaigue, Guillaume Thirel } \references{ Santos, L., Thirel, G. and Perrin, C. (in review), Technical note : Pitfalls in using log-transformed flows within the KGE criterion, Hydrology and Earth System Sciences Discussions, doi:10.5194/hess-2018-298. } \seealso{ \code{\link{RunModel}}, \code{\link{CreateInputsModel}}, \code{\link{CreateRunOptions}}, \code{\link{CreateCalibOptions}} }