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Commit 11ffe538 authored by Delaigue Olivier's avatar Delaigue Olivier
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Mise au propre de la casse de caractères pour être cohérent lors de la... 

Mise au propre de la casse de caractères pour être cohérent lors de la création du lien vers les routines FORTRAN
parent e4b79892
dev 115-add-pcict-date-format-managment 118-plot-outputsmodel-remove-case-sensitivity-to-the-which-argument 136-decreased-performance-of-calibration-execution-time 60-migrate-transfoparam-functions-and-createcaliboptions-to-s3-methods 96-parallelize-the-grid-screening-step-during-calibration airGRplus cleanAirGRplus master CRAN_v1.7.0 CRAN_v1.6.12 CRAN_v1.6.11 CRAN_v1.6.10.4 CRAN_v1.6.9.27 CRAN_v1.6.9.24 CRAN_v1.6.9.23 CRAN_v1.6.9.21 CRAN_v1.4.3.65 CRAN_v1.4.3.60 CRAN_v1.4.3.52 CRAN_v1.3.2.42 CRAN_v1.3.2.41 CRAN_v1.3.2.40 CRAN_v1.3.2.39 CRAN_v1.3.2.23 CRAN_v1.3.2.17 CRAN_v1.2.13.16 CRAN_v1.2.13.13 CRAN_v1.0.14.1 CRAN_v1.0.13.19 CRAN_v1.0.10.11 CRAN_v1.0.9.64 CRAN_v1.0.5.12 CRAN_v1.0.5.11 CRAN_v1.0.5.10
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R/RunModel_CemaNeige.R
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#*****************************************************************************************************************
#' Function which performs a single run for the CemaNeige daily snow module.
#'
#' For further details on the model, see the references section.
#' For further details on the argument structures and initialisation options, see \code{\link{CreateRunOptions}}.
#*****************************************************************************************************************
#' @title Run with the CemaNeige snow module
#' @author Laurent Coron (January 2014)
#' @references
#' Valéry, A., V. Andréassian and C. Perrin (2014),
#' "As simple as possible but not simpler": what is useful in a temperature-based snow-accounting routine?
#' Part 1 - Comparison of six snow accounting routines on 380 catchments, Journal of Hydrology, doi:10.1016/j.jhydrol.2014.04.059. \cr
#' Valéry, A., V. Andréassian and C. Perrin (2014),
#' "As simple as possible but not simpler": What is useful in a temperature-based snow-accounting routine?
#' Part 2 - Sensitivity analysis of the Cemaneige snow accounting routine on 380 catchments, Journal of Hydrology, doi:10.1016/j.jhydrol.2014.04.058.
#' @seealso \code{\link{RunModel_CemaNeigeGR4J}}, \code{\link{CreateInputsModel}}, \code{\link{CreateRunOptions}}.
#' @example tests/example_RunModel_CemaNeige.R
#' @useDynLib airGR
#' @encoding UTF-8
#' @export
#_FunctionInputs__________________________________________________________________________________________________
#' @param InputsModel [object of class \emph{InputsModel}] see \code{\link{CreateInputsModel}} for details
#' @param RunOptions [object of class \emph{RunOptions}] see \code{\link{CreateRunOptions}} for details
#' @param Param [numeric] vector of 2 parameters
#' \tabular{ll}{
#' CemaNeige X1 \tab weighting coefficient for snow pack thermal state [-] \cr
#' CemaNeige X2 \tab degree-day melt coefficient [mm/degC/d] \cr
#' }
#_FunctionOutputs_________________________________________________________________________________________________
#' @return [list] list containing the function outputs organised as follows:
#' \tabular{ll}{
#' \emph{$DatesR } \tab [POSIXlt] series of dates \cr
#' \emph{$CemaNeigeLayers} \tab [list] list of CemaNeige outputs (1 list per layer) \cr
#' \emph{$CemaNeigeLayers[[iLayer]]$Pliq } \tab [numeric] series of liquid precip. [mm/d] \cr
#' \emph{$CemaNeigeLayers[[iLayer]]$Psol } \tab [numeric] series of solid precip. [mm/d] \cr
#' \emph{$CemaNeigeLayers[[iLayer]]$SnowPack } \tab [numeric] series of snow pack [mm] \cr
#' \emph{$CemaNeigeLayers[[iLayer]]$ThermalState } \tab [numeric] series of snow pack thermal state [degC] \cr
#' \emph{$CemaNeigeLayers[[iLayer]]$Gratio } \tab [numeric] series of Gratio [0-1] \cr
#' \emph{$CemaNeigeLayers[[iLayer]]$PotMelt } \tab [numeric] series of potential snow melt [mm] \cr
#' \emph{$CemaNeigeLayers[[iLayer]]$Melt } \tab [numeric] series of actual snow melt [mm] \cr
#' \emph{$CemaNeigeLayers[[iLayer]]$PliqAndMelt } \tab [numeric] series of liquid precip. + actual snow melt [mm] \cr
#' \emph{$StateEnd} \tab [numeric] states at the end of the run: CemaNeige states [mm & degC] \cr
#' }
#' (refer to the provided references or to the package source code for further details on these model outputs)
#*****************************************************************************************************************
RunModel_CemaNeige <- function(InputsModel,RunOptions,Param){
NParam <- 2;
......@@ -78,7 +33,7 @@ RunModel_CemaNeige <- function(InputsModel,RunOptions,Param){
##Call_DLL_CemaNeige_________________________
for(iLayer in 1:NLayers){
StateStartCemaNeige <- RunOptions$IniStates[ (2*(iLayer-1)+1):(2*(iLayer-1)+2) ];
RESULTS <- .Fortran("frun_cemaneige",PACKAGE="airGR",
RESULTS <- .Fortran("frun_CemaNeige",PACKAGE="airGR",
##inputs
LInputs=as.integer(length(IndPeriod1)), ### length of input and output series
InputsPrecip=InputsModel$LayerPrecip[[iLayer]][IndPeriod1], ### input series of total precipitation [mm/d]
......@@ -116,12 +71,12 @@ RunModel_CemaNeige <- function(InputsModel,RunOptions,Param){
names(OutputsModel) <- c("DatesR",NameCemaNeigeLayers); }
if(ExportDatesR==FALSE & ExportStateEnd==TRUE){
OutputsModel <- c( list(CemaNeigeLayers),
CemaNeigeStateEnd );
list(CemaNeigeStateEnd));
names(OutputsModel) <- c(NameCemaNeigeLayers,"StateEnd"); }
if(ExportDatesR==TRUE & ExportStateEnd==TRUE){
OutputsModel <- c( list(InputsModel$DatesR[RunOptions$IndPeriod_Run]),
list(CemaNeigeLayers),
CemaNeigeStateEnd );
list(CemaNeigeStateEnd));
names(OutputsModel) <- c("DatesR",NameCemaNeigeLayers,"StateEnd"); }
##End
......
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