Calibration_Michel.R 17.58 KiB
Calibration_Michel <- function(InputsModel, RunOptions, InputsCrit, CalibOptions,
                               FUN_MOD, FUN_CRIT, FUN_TRANSFO = NULL, verbose = TRUE) {
  ##_____Arguments_check_____________________________________________________________________
  if (!inherits(InputsModel, "InputsModel")) {
    stop("InputsModel must be of class 'InputsModel'")
  }  
  if (!inherits(RunOptions, "RunOptions")) {
    stop("RunOptions must be of class 'RunOptions'")
  if (!inherits(InputsCrit, "InputsCrit")) {
    stop("InputsCrit must be of class 'InputsCrit'")
  if (inherits(InputsCrit, "Multi")) {
    stop("InputsCrit must be of class 'Single' or 'Compo'")
  if (inherits(InputsCrit, "Compo") & "SCA" %in% sapply(InputsCrit, "[[", "varObs") & !"Gratio" %in% RunOptions$Outputs_Cal) {
    warning("Missing 'Gratio' is automatically added to 'Output_Cal' in 'RunOptions' as it is necessary in the objective function for comparison with SCA")
    RunOptions$Outputs_Cal <- c(RunOptions$Outputs_Cal, "Gratio")
  if (inherits(InputsCrit, "Compo") & "SWE" %in% sapply(InputsCrit, "[[", "varObs") & !"SnowPack" %in% RunOptions$Outputs_Cal) {
    warning("Missing 'SnowPack' is automatically added to 'Output_Cal' in 'RunOptions' as it is necessary in the objective function for comparison with SWE")
    RunOptions$Outputs_Cal <- c(RunOptions$Outputs_Cal, "SnowPack")
  if (!inherits(CalibOptions, "CalibOptions")) {
    stop("CalibOptions must be of class 'CalibOptions'")
  if (!inherits(CalibOptions, "HBAN")) {
    stop("CalibOptions must be of class 'HBAN' if Calibration_Michel is used")
  if (!missing(FUN_CRIT)) {
    warning("argument 'FUN_CRIT' is deprecated. The error criterion function is now automatically get from the 'InputsCrit' object")
  ##_check_FUN_TRANSFO
  if (is.null(FUN_TRANSFO)) {
    if (identical(FUN_MOD, RunModel_GR4H         )) {
      FUN_TRANSFO <- TransfoParam_GR4H
    if (identical(FUN_MOD, RunModel_GR4J         )) {
      FUN_TRANSFO <- TransfoParam_GR4J
    if (identical(FUN_MOD, RunModel_GR5J         )) {
      FUN_TRANSFO <- TransfoParam_GR5J
    if (identical(FUN_MOD, RunModel_GR6J         )) {
      FUN_TRANSFO <- TransfoParam_GR6J
    if (identical(FUN_MOD, RunModel_GR2M         )) {
      FUN_TRANSFO <- TransfoParam_GR2M
    if (identical(FUN_MOD, RunModel_GR1A         )) {
      FUN_TRANSFO <- TransfoParam_GR1A
    if (identical(FUN_MOD, RunModel_CemaNeige    )) {
      if (inherits(FUN_MOD, "hysteresis")) {
        FUN_TRANSFO <- TransfoParam_CemaNeigeHyst
      } else {
        FUN_TRANSFO <- TransfoParam_CemaNeige
    if (identical(FUN_MOD, RunModel_CemaNeigeGR4J) | identical(FUN_MOD, RunModel_CemaNeigeGR5J) | identical(FUN_MOD, RunModel_CemaNeigeGR6J)) {
      if (identical(FUN_MOD, RunModel_CemaNeigeGR4J)) {
        FUN1 <- TransfoParam_GR4J
      if (identical(FUN_MOD, RunModel_CemaNeigeGR5J)) {
        FUN1 <- TransfoParam_GR5J
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if (identical(FUN_MOD, RunModel_CemaNeigeGR6J)) { FUN1 <- TransfoParam_GR6J } if (inherits(FUN_MOD, "hysteresis")) { FUN2 <- TransfoParam_CemaNeigeHyst } else { FUN2 <- TransfoParam_CemaNeige } FUN_TRANSFO <- function(ParamIn, Direction) { Bool <- is.matrix(ParamIn) if (Bool == FALSE) { ParamIn <- rbind(ParamIn) } ParamOut <- NA * ParamIn NParam <- ncol(ParamIn) ParamOut[, 1:(NParam-2)] <- FUN1(ParamIn[, 1:(NParam-2)], Direction) ParamOut[, (NParam-1):NParam ] <- FUN2(ParamIn[, (NParam-1):NParam ], Direction) if (Bool == FALSE) { ParamOut <- ParamOut[1, ] } return(ParamOut) } } if (is.null(FUN_TRANSFO)) { stop("FUN_TRANSFO was not found (in Calibration function)") } } ##_variables_initialisation ParamFinalR <- NULL ParamFinalT <- NULL CritFinal <- NULL NRuns <- 0 NIter <- 0 if ("StartParamDistrib" %in% names(CalibOptions)) { PrefilteringType <- 2 } else { PrefilteringType <- 1 } if (PrefilteringType == 1) { NParam <- ncol(CalibOptions$StartParamList) } if (PrefilteringType == 2) { NParam <- ncol(CalibOptions$StartParamDistrib) } if (NParam > 20) { stop("Calibration_Michel can handle a maximum of 20 parameters") } HistParamR <- matrix(NA, nrow = 500 * NParam, ncol = NParam) HistParamT <- matrix(NA, nrow = 500 * NParam, ncol = NParam) HistCrit <- matrix(NA, nrow = 500 * NParam, ncol = 1) CritName <- NULL CritBestValue <- NULL Multiplier <- NULL CritOptim <- +1e100 ##_temporary_change_of_Outputs_Sim RunOptions$Outputs_Sim <- RunOptions$Outputs_Cal ### this reduces the size of the matrix exchange with fortran and therefore speeds the calibration ##_____Parameter_Grid_Screening____________________________________________________________ ##Definition_of_the_function_creating_all_possible_parameter_sets_from_different_values_for_each_parameter ProposeCandidatesGrid <- function(DistribParam) { NewCandidates <- expand.grid(lapply(seq_len(ncol(DistribParamR)), function(x) DistribParam[, x])) NewCandidates <- unique(NewCandidates) # to avoid duplicates when a parameter is set Output <- list(NewCandidates = NewCandidates) }