Forked from HYCAR-Hydro / airGR
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CreateCalibOptions.Rd 5.66 KiB
\encoding{UTF-8}
\name{CreateCalibOptions}
\alias{CreateCalibOptions}
\title{Creation of the CalibOptions object required but the Calibration functions}
\usage{
CreateCalibOptions(FUN_MOD, FUN_CALIB = Calibration_Michel,
  FUN_TRANSFO = NULL, FixedParam = NULL,
  SearchRanges = NULL, StartParamList = NULL,
  StartParamDistrib = NULL)
\arguments{
\item{FUN_MOD}{[function] hydrological model function (e.g. \code{\link{RunModel_GR4J}}, \code{\link{RunModel_CemaNeigeGR4J}})}
\item{FUN_CALIB}{(optional) [function] calibration algorithm function (e.g. Calibration_Michel), default = \code{Calibration_Michel}}
\item{FUN_TRANSFO}{(optional) [function] model parameters transformation function, if the \code{FUN_MOD} used is native in the package, \code{FUN_TRANSFO} is automatically defined}
\item{FixedParam}{(optional) [numeric] vector giving the values set for the non-optimised parameter values (NParam columns, 1 line)
\cr Example:
\tabular{llllll}{
              \tab   NA   \tab   NA   \tab 3.34   \tab  ...    \tab   NA \cr
\item{SearchRanges}{(optional) [numeric] matrix giving the ranges of real parameters (NParam columns, 2 lines)
\cr Example:
\tabular{llllll}{
              \tab [X1]   \tab [X2]   \tab [X3]   \tab [...]   \tab [Xi] \cr
     [1,]     \tab    0   \tab   -1   \tab    0   \tab  ...    \tab  0.0 \cr
     [2,]     \tab 3000   \tab   +1   \tab  100   \tab  ...    \tab  3.0 \cr
\item{StartParamList}{(optional) [numeric] matrix of parameter sets used for grid-screening calibration procedure (values in columns, sets in line)
\cr Example:
\tabular{llllll}{
              \tab [X1]   \tab [X2]   \tab [X3]   \tab [...]   \tab [Xi] \cr
     [set1]   \tab  800   \tab -0.7   \tab   25   \tab  ...    \tab  1.0 \cr
     [set2]   \tab 1000   \tab -0.5   \tab   22   \tab  ...    \tab  1.1 \cr
     [...]    \tab  ...   \tab  ...   \tab  ...   \tab  ...    \tab  ... \cr
     [set n]  \tab  200   \tab -0.3   \tab   17   \tab  ...    \tab  1.0 \cr
\item{StartParamDistrib}{(optional) [numeric] matrix of parameter values used for grid-screening calibration procedure (values in columns, percentiles in line)
\cr Example:
\tabular{llllll}{
              \tab [X1]   \tab [X2]   \tab [X3]   \tab [...]   \tab [Xi] \cr
     [value1] \tab  800   \tab -0.7   \tab   25   \tab  ...    \tab  1.0 \cr
     [value2] \tab 1000   \tab   NA   \tab   50   \tab  ...    \tab  1.2 \cr
     [value3] \tab 1200   \tab   NA   \tab   NA   \tab  ...    \tab  1.6 \cr
\value{
[list] object of class \emph{CalibOptions} containing the data required to evaluate the model outputs; it can include the following:
         \tabular{ll}{
         \emph{$FixedParam       }  \tab   [numeric] vector giving the values to allocate to non-optimised parameter values \cr
         \emph{$SearchRanges     }  \tab   [numeric] matrix giving the ranges of raw parameters \cr
         \emph{$StartParamList   }  \tab   [numeric] matrix of parameter sets used for grid-screening calibration procedure \cr
         \emph{$StartParamDistrib}  \tab   [numeric] matrix of parameter values used for grid-screening calibration procedure \cr
\description{
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Creation of the \emph{CalibOptions} object required by the \code{Calibration*} functions. } \details{ Users wanting to use \code{FUN_MOD}, \code{FUN_CALIB} or \code{FUN_TRANSFO} functions that are not included in the package must create their own \code{CalibOptions} object accordingly. } \examples{ 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 = "\%d/\%m/\%Y \%H:\%M")=="01/01/1990 00:00"), which(format(BasinObs$DatesR, format = "\%d/\%m/\%Y \%H:\%M")=="31/12/1999 00:00")) ## preparation of RunOptions object RunOptions <- CreateRunOptions(FUN_MOD = RunModel_GR4J, InputsModel = InputsModel, IndPeriod_Run = Ind_Run) ## calibration criterion: preparation of the InputsCrit object InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel, RunOptions = RunOptions, Qobs = BasinObs$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_CRIT = ErrorCrit_NSE, 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, Qobs = BasinObs$Qmm[Ind_Run]) OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel) ## efficiency criterion: Kling-Gupta Efficiency InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_KGE, InputsModel = InputsModel, RunOptions = RunOptions, Qobs = BasinObs$Qmm[Ind_Run]) OutputsCrit <- ErrorCrit_KGE(InputsCrit = InputsCrit, OutputsModel = OutputsModel) } \author{ Laurent Coron } \seealso{ \code{\link{Calibration}}, \code{\link{RunModel}} }
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