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.Rbuildignore
View file @ 4bccfee2
......@@ -2,3 +2,14 @@
^\.Rproj\.user$
^\.Rprofile$
^packrat/
^tests/tmp/
^\.gitlab-ci.yml$
^\.regressionignore$
^\.vignettechunkignore$
^\.gitlab-ci\.yml$
^\.vscode$
^Rplots\.pdf$
^ci$
^data-raw$
^revdep$
^\.devcontainer$
.devcontainer/devcontainer.json 0 → 100644
View file @ 4bccfee2
{
"image": "rocker/geospatial:devel",
"customizations": {
"vscode": {
"extensions": [
"eamodio.gitlens",
"REditorSupport.r"
]
}
},
// Use 'postCreateCommand' to run commands after the container is created.
"postCreateCommand": "R -q -e 'install.packages(\"languageserver\");remotes::install_deps(dep = TRUE)'",
"postStartCommand": "R -q -e 'devtools::install()'"
}
.gitignore
View file @ 4bccfee2
.Rproj.user
# Specific files for airGR
packrat/lib*/
# Compiled files
/src/*.o
/src/*.so
/src/*.dll
/src-*
# Test temporary files
/tests/tmp/
*.pdf
!man/figures/*.pdf
# revdep
/revdep/
######################################################################################################
### Generic .gitignore for R (source: https://github.com/github/gitignore/blob/master/R.gitignore) ###
######################################################################################################
# History files
.Rhistory
.Rapp.history
# Session Data files
.RData
airGR.Rproj
packrat/lib*/
# User-specific files
.Ruserdata
# Example code in package build process
*-Ex.R
# Output files from R CMD build
/*.tar.gz
# Output files from R CMD check
/*.Rcheck/
# RStudio files
.Rproj.user
# produced vignettes
vignettes/*.html
vignettes/*.pdf
# OAuth2 token, see https://github.com/hadley/httr/releases/tag/v0.3
.httr-oauth
# knitr and R markdown default cache directories
*_cache/
/cache/
# Temporary files created by R markdown
*.utf8.md
*.knit.md
# R Environment Variables
.Renviron
.Rprofile
# pkgdown site
docs/
# vscode IDE
.vscode/*
*.code-workspace
.history/
.gitlab-ci.yml 0 → 100644
View file @ 4bccfee2
stages:
- check
- scheduled_tests
- revdepcheck
variables:
R_LIBS_USER: "$CI_PROJECT_DIR/ci/lib"
default:
tags: [docker]
cache:
key: "airGR-${R_VERSION}"
paths:
- $R_LIBS_USER
before_script:
- mkdir -p $R_LIBS_USER
- echo "R_LIBS='$R_LIBS_USER'" > .Renviron
- echo 'options(repos = c(CRAN = "https://packagemanager.posit.co/cran/__linux__/focal/latest"))' > .Rprofile
- apt-get update && apt-get install -y libstdc++6
- R -q -e 'remotes::install_deps(dependencies = TRUE)'
.R-devel:
image: rocker/geospatial:devel
variables:
R_VERSION: devel
.R-patched:
only:
refs:
- tags
- schedules
image: rocker/geospatial:latest
variables:
R_VERSION: patched
.R-oldrel:
only:
refs:
- tags
- schedules
image: rocker/geospatial:4.1
variables:
R_VERSION: oldrel
.scheduled_tests:
only:
refs:
- tags
- schedules
- master
stage: scheduled_tests
script:
- R -q -e 'devtools::install()'
- Rscript tests/scheduled_tests/scheduled.R
- Rscript tests/scheduled_tests/regression.R stable
- R CMD INSTALL .
- Rscript tests/scheduled_tests/regression.R dev
- Rscript tests/scheduled_tests/regression.R compare
.check:
stage: check
script:
- R -q -e 'tinytex::tlmgr("option repository https://ftp.tu-chemnitz.de/pub/tug/historic/systems/texlive/2021/tlnet-final")'
- tlmgr update --self && tlmgr install ec epstopdf-pkg amsmath
- R -q -e 'remotes::update_packages("rcmdcheck")'
- R -q -e 'rcmdcheck::rcmdcheck(args = c("--as-cran"), error_on = "warning")'
.test_all:
stage: check
script:
- R -q -e 'testthat::test_local()'
benchmark_devel:
extends: .R-devel
stage: check
allow_failure: true
script:
- R -q -e 'remotes::update_packages("microbenchmark", repos = "http://cran.r-project.org")'
- R -q -e 'install.packages("airGR", repos = "http://cran.r-project.org")'
- Rscript tests/scheduled_tests/benchmarkRunModel.R
- R CMD INSTALL .
- Rscript tests/scheduled_tests/benchmarkRunModel.R
artifacts:
paths:
- tests/tmp/benchmark.tsv
- tests/tmp/mean_execution_time.tsv
scheduled_tests_patched:
extends:
- .scheduled_tests
- .R-patched
scheduled_tests_devel:
extends:
- .scheduled_tests
- .R-devel
scheduled_tests_oldrel:
extends:
- .scheduled_tests
- .R-oldrel
check_patched:
extends:
- .check
- .R-patched
check_devel:
extends:
- .check
- .R-devel
test_all_patched:
extends:
- .test_all
- .R-patched
test_all_devel:
extends:
- .test_all
- .R-devel
test_all_oldrel:
extends:
- .test_all
- .R-oldrel
revdepcheck_devel:
stage: revdepcheck
only:
refs:
- tags
- schedule
- master
extends: .R-devel
script:
- R -q -e 'remotes::install_github("https://github.com/r-lib/revdepcheck")'
- R -q -e 'revdepcheck::revdep_check(timeout = as.difftime(20, units = "mins"))'
- R -q -e 'stopifnot(all("+" == sapply(revdepcheck::revdep_summary(), "[[", "status")))'
- R -q -e 'if (any(sapply(revdepcheck::revdep_summary(), function(x) {any(x$cmp$change == 1)}))) stop()'
artifacts:
when: on_failure
paths:
- revdep/README.md
- revdep/problems.md
- revdep/failures.md
- revdep/cran.md
- revdep/checks/*.log
.regressionignore 0 → 100644
View file @ 4bccfee2
# .test-regression.ignore contains the list of topic/variables produces by
# documentation examples that should be ignore in the regression test
# The format of this file is: 5 lines of comments followed by one line by
# ignored variable : [Topic]<SPACE>[Variable] or *<SPACE>[Variable] for every variable whatever the topic
# Example for ignoring OutputsModel variable produced by example("RunModel_GR2M"): RunModel_GR2M OutputsModel
.vignettechunkignore 0 → 100644
View file @ 4bccfee2
# This file is used by the script tests/testthat/test-vignettes which test all
# chunks including those with `eval=FALSE`
# It serves to ignore chunks that should not be tested anyway
# Format: `vignette file name`[space]`id of the chunk`
V02.1_param_optim.Rmd hydroPSO1
V02.1_param_optim.Rmd hydroPSO2
V02.1_param_optim.Rmd resGLOB
DESCRIPTION
View file @ 4bccfee2
Package: airGR
Type: Package
Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Version: 1.2.14.17
Date: 2019-05-02
Version: 1.7.6.9000
Date: 2023-10-25
Authors@R: c(
person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),
person("Olivier", "Delaigue", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7668-8468"), email = "airGR@irstea.fr"),
person("Guillaume", "Thirel", role = c("aut"), comment = c(ORCID = "0000-0002-1444-1830")),
person("Olivier", "Delaigue", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7668-8468"), email = "airGR@inrae.fr"),
person("Guillaume", "Thirel", role = c("aut", "ths"), comment = c(ORCID = "0000-0002-1444-1830")),
person("David", "Dorchies", role = c("aut"), comment = c(ORCID = "0000-0002-6595-7984")),
person("Charles", "Perrin", role = c("aut", "ths"), comment = c(ORCID = "0000-0001-8552-1881")),
person("Claude", "Michel", role = c("aut", "ths")),
person("Vazken", "Andréassian", role = c("ctb", "ths"), comment = c(ORCID = "0000-0001-7124-9303")),
person("François", "Bourgin", role = c("ctb"), comment = c(ORCID = "0000-0002-2820-7260", vignette = "'Parameter estimation' vignettes")),
person("François", "Bourgin", role = c("ctb"), comment = c(ORCID = "0000-0002-2820-7260")),
person("Pierre", "Brigode", role = c("ctb"), comment = c(ORCID = "0000-0001-8257-0741")),
person("Nicolas", "Le Moine", role = c("ctb")),
person("Thibaut", "Mathevet", role = c("ctb")),
person("Thibaut", "Mathevet", role = c("ctb"), comment = c(ORCID = "0000-0002-4142-4454")),
person("Safouane", "Mouelhi", role = c("ctb")),
person("Ludovic", "Oudin", role = c("ctb")),
person("Ludovic", "Oudin", role = c("ctb"), comment = c(ORCID = "0000-0002-3712-0933")),
person("Raji", "Pushpalatha", role = c("ctb")),
person("Audrey", "Valéry", role = c("ctb"))
)
Depends: R (>= 3.0.1)
Suggests: knitr, rmarkdown, coda, DEoptim, dplyr, FME, ggmcmc, hydroPSO, Rmalschains
Description: Hydrological modelling tools developed at Irstea-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR4J, GR5J, GR6J, GR2M, GR1A), a snow accumulation and melt model (CemaNeige) and the associated functions for their calibration and evaluation. Use help(airGR) for package description and references.
Depends: R (>= 3.1.0)
Imports:
graphics,
grDevices,
stats,
utils
Suggests:
knitr, markdown, rmarkdown,
caRamel, coda, DEoptim, FME, ggmcmc, Rmalschains,
GGally, ggplot2,
testthat
Description: Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A) that can be applied either on a lumped or semi-distributed way. A snow accumulation and melt model (CemaNeige) and the associated functions for the calibration and evaluation of models are also included. Use help(airGR) for package description and references.
License: GPL-2
URL: https://hydrogr.github.io/airGR/
BugReports: https://gitlab.irstea.fr/HYCAR-Hydro/airgr/-/issues
NeedsCompilation: yes
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NAMESPACE
View file @ 4bccfee2
......@@ -8,7 +8,13 @@ useDynLib(airGR, .registration = TRUE)
#####################################
## S3 methods ##
#####################################
S3method("plot", "OutputsModel")
S3method('[', InputsModel)
#S3method('[', OutputsModel) ### to add in version 2.0
S3method(plot, OutputsModel)
S3method(SeriesAggreg, data.frame)
S3method(SeriesAggreg, list)
S3method(SeriesAggreg, InputsModel)
S3method(SeriesAggreg, OutputsModel)
......@@ -18,8 +24,10 @@ S3method("plot", "OutputsModel")
export(Calibration)
export(Calibration_Michel)
export(CreateCalibOptions)
export(CreateErrorCrit_GAPX)
export(CreateIniStates)
export(CreateInputsCrit)
export(CreateInputsCrit_Lavenne)
export(CreateInputsModel)
export(CreateRunOptions)
export(DataAltiExtrapolation_Valery)
......@@ -28,18 +36,24 @@ export(ErrorCrit_KGE)
export(ErrorCrit_KGE2)
export(ErrorCrit_NSE)
export(ErrorCrit_RMSE)
export(PEdaily_Oudin)
export(Imax)
export(PE_Oudin)
export(plot.OutputsModel) ### to remove from version 2.0
export(RunModel)
export(RunModel_CemaNeige)
export(RunModel_CemaNeigeGR4H)
export(RunModel_CemaNeigeGR5H)
export(RunModel_CemaNeigeGR4J)
export(RunModel_CemaNeigeGR5J)
export(RunModel_CemaNeigeGR6J)
export(RunModel_GR1A)
export(RunModel_GR2M)
export(RunModel_GR4H)
export(RunModel_GR5H)
export(RunModel_GR4J)
export(RunModel_GR5J)
export(RunModel_GR6J)
export(RunModel_Lag)
export(SeriesAggreg)
export(TransfoParam)
export(TransfoParam_CemaNeige)
......@@ -47,13 +61,13 @@ export(TransfoParam_CemaNeigeHyst)
export(TransfoParam_GR1A)
export(TransfoParam_GR2M)
export(TransfoParam_GR4H)
export(TransfoParam_GR5H)
export(TransfoParam_GR4J)
export(TransfoParam_GR5J)
export(TransfoParam_GR6J)
export(plot.OutputsModel)
exportPattern(".FortranOutputs")
exportPattern(".ErrorCrit")
export(TransfoParam_Lag)
#export(.ErrorCrit)
#export(.FeatModels)
#####################################
......
NEWS.md 0 → 100644
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This diff is collapsed.
NEWS.rmd deleted 100644 → 0
View file @ 0967defb
This diff is collapsed.
R/Calibration.R
View file @ 4bccfee2
Calibration <- function(InputsModel,
RunOptions,
InputsCrit,
Calibration <- function(InputsModel,
RunOptions,
InputsCrit,
CalibOptions,
FUN_MOD,
FUN_MOD,
FUN_CRIT, # deprecated
FUN_CALIB = Calibration_Michel,
FUN_CALIB = Calibration_Michel,
FUN_TRANSFO = NULL,
verbose = TRUE) {
verbose = TRUE,
...) {
FUN_MOD <- match.fun(FUN_MOD)
if (!missing(FUN_CRIT)) {
FUN_CRIT <- match.fun(FUN_CRIT)
}
FUN_CALIB <- match.fun(FUN_CALIB)
if (!is.null(FUN_TRANSFO)) {
FUN_TRANSFO <- match.fun(FUN_TRANSFO)
}
return(FUN_CALIB(InputsModel = InputsModel, RunOptions = RunOptions, InputsCrit = InputsCrit,
CalibOptions = CalibOptions,
FUN_MOD = FUN_MOD, FUN_TRANSFO = FUN_TRANSFO,
verbose = verbose))
verbose = verbose, ...))
}
R/Calibration_Michel.R
View file @ 4bccfee2
Calibration_Michel <- function(InputsModel,
RunOptions,
InputsCrit,
Calibration_Michel <- function(InputsModel,
RunOptions,
InputsCrit,
CalibOptions,
FUN_MOD,
FUN_MOD,
FUN_CRIT, # deprecated
FUN_TRANSFO = NULL,
verbose = TRUE) {
FUN_TRANSFO = NULL,
verbose = TRUE,
...) {
FUN_MOD <- match.fun(FUN_MOD)
if (!missing(FUN_CRIT)) {
FUN_CRIT <- match.fun(FUN_CRIT)
}
# Handling 'FUN_TRANSFO' from direct argument or provided by 'CaliOptions'
if (!is.null(FUN_TRANSFO)) {
FUN_TRANSFO <- match.fun(FUN_TRANSFO)
} else if (!is.null(CalibOptions$FUN_TRANSFO)) {
FUN_TRANSFO <- CalibOptions$FUN_TRANSFO
} else {
stop("'FUN_TRANSFO' is not provided neither as 'FUN_TRANSFO' argument or in 'CaliOptions' argument")
}
##_____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'")
}
......@@ -46,96 +53,16 @@ Calibration_Michel <- function(InputsModel,
}
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(CalibOptions, "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
}
if (identical(FUN_MOD, RunModel_CemaNeigeGR6J)) {
FUN1 <- TransfoParam_GR6J
}
if (inherits(CalibOptions, "hysteresis")) {
FUN2 <- TransfoParam_CemaNeigeHyst
} else {
FUN2 <- TransfoParam_CemaNeige
}
if (inherits(CalibOptions, "hysteresis")) {
FUN_TRANSFO <- function(ParamIn, Direction) {
Bool <- is.matrix(ParamIn)
if (!Bool) {
ParamIn <- rbind(ParamIn)
}
ParamOut <- NA * ParamIn
NParam <- ncol(ParamIn)
ParamOut[, 1:(NParam-4)] <- FUN1(ParamIn[, 1:(NParam-4)], Direction)
ParamOut[, (NParam-3):NParam ] <- FUN2(ParamIn[, (NParam-3):NParam ], Direction)
if (!Bool) {
ParamOut <- ParamOut[1, ]
}
return(ParamOut)
}
} else {
FUN_TRANSFO <- function(ParamIn, Direction) {
Bool <- is.matrix(ParamIn)
if (!Bool) {
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) {
ParamOut <- ParamOut[1, ]
}
return(ParamOut)
}
}
}
if (is.null(FUN_TRANSFO)) {
stop("'FUN_TRANSFO' was not found (in 'Calibration' function)")
}
}
##_variables_initialisation
##_variables_initialisation
ParamFinalR <- NULL
ParamFinalT <- NULL
CritFinal <- NULL
......@@ -164,20 +91,19 @@ Calibration_Michel <- function(InputsModel,
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
## use unique() to avoid duplicated values when a parameter is set
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)
}
expand.grid(lapply(seq_len(ncol(DistribParam)), function(x) unique(DistribParam[, x])))
}
##Creation_of_new_candidates_______________________________________________
OptimParam <- is.na(CalibOptions$FixedParam)
if (PrefilteringType == 1) {
......@@ -186,7 +112,7 @@ Calibration_Michel <- function(InputsModel,
if (PrefilteringType == 2) {
DistribParamR <- CalibOptions$StartParamDistrib
DistribParamR[, !OptimParam] <- NA
CandidatesParamR <- ProposeCandidatesGrid(DistribParamR)$NewCandidates
CandidatesParamR <- ProposeCandidatesGrid(DistribParamR)
}
##Remplacement_of_non_optimised_values_____________________________________
CandidatesParamR <- apply(CandidatesParamR, 1, function(x) {
......@@ -198,7 +124,7 @@ Calibration_Michel <- function(InputsModel,
} else {
CandidatesParamR <- cbind(CandidatesParamR)
}
##Loop_to_test_the_various_candidates______________________________________
iNewOptim <- 0
Ncandidates <- nrow(CandidatesParamR)
......@@ -217,12 +143,12 @@ Calibration_Michel <- function(InputsModel,
if (iNew == round(k / 10 * Ncandidates)) {
message(" ", 10 * k, "%", appendLF = FALSE)
}
}
}
}
##Model_run
Param <- CandidatesParamR[iNew, ]
OutputsModel <- FUN_MOD(InputsModel, RunOptions, Param)
OutputsModel <- RunModel(InputsModel, RunOptions, Param, FUN_MOD = FUN_MOD, ...)
##Calibration_criterion_computation
OutputsCrit <- ErrorCrit(InputsCrit, OutputsModel, verbose = FALSE)
if (!is.na(OutputsCrit$CritValue)) {
......@@ -241,8 +167,8 @@ Calibration_Michel <- function(InputsModel,
if (verbose & Ncandidates > 1) {
message(" 100%)\n", appendLF = FALSE)
}
##End_of_first_step_Parameter_Screening____________________________________
ParamStartR <- CandidatesParamR[iNewOptim, ]
if (!is.matrix(ParamStartR)) {
......@@ -265,13 +191,13 @@ Calibration_Michel <- function(InputsModel,
HistParamR[1, ] <- ParamStartR
HistParamT[1, ] <- ParamStartT
HistCrit[1, ] <- CritStart
##_____Steepest_Descent_Local_Search_______________________________________________________
##Definition_of_the_function_creating_new_parameter_sets_through_a_step_by_step_progression_procedure
ProposeCandidatesLoc <- function(NewParamOptimT, OldParamOptimT, RangesT, OptimParam, Pace) {
##Format_checking
......@@ -295,10 +221,10 @@ Calibration_Michel <- function(InputsModel,
PotentialCandidateT[1, I] <- NewParamOptimT[I] + Sign * Pace
##If_we_exit_the_range_of_possible_values_we_go_back_on_the_boundary
if (PotentialCandidateT[1, I] < RangesT[1, I] ) {
PotentialCandidateT[1,I] <- RangesT[1, I]
PotentialCandidateT[1, I] <- RangesT[1, I]
}
if (PotentialCandidateT[1, I] > RangesT[2, I]) {
PotentialCandidateT[1,I] <- RangesT[2,I]
PotentialCandidateT[1, I] <- RangesT[2, I]
}
##We_check_the_set_is_not_outside_the_range_of_possible_values
if (NewParamOptimT[I] == RangesT[1, I] & Sign < 0) {
......@@ -322,11 +248,11 @@ Calibration_Michel <- function(InputsModel,
Output$NewCandidatesT <- matrix(VECT, ncol = NParam, byrow = TRUE)
return(Output)
}
##Initialisation_of_variables
if (verbose) {
message("Steepest-descent local search in progress")
message("Steepest-descent local search in progress")
}
Pace <- 0.64
PaceDiag <- rep(0, NParam)
......@@ -338,18 +264,18 @@ Calibration_Michel <- function(InputsModel,
RangesT <- FUN_TRANSFO(RangesR, "RT")
NewParamOptimT <- ParamStartT
OldParamOptimT <- ParamStartT
##START_LOOP_ITER_________________________________________________________
for (ITER in 1:(100 * NParam)) {
##Exit_loop_when_Pace_becomes_too_small___________________________________
if (Pace < 0.01) {
break
}
##Creation_of_new_candidates______________________________________________
CandidatesParamT <- ProposeCandidatesLoc(NewParamOptimT, OldParamOptimT, RangesT, OptimParam, Pace)$NewCandidatesT
CandidatesParamR <- FUN_TRANSFO(CandidatesParamT, "TR")
......@@ -363,16 +289,16 @@ Calibration_Michel <- function(InputsModel,
} else {
CandidatesParamR <- cbind(CandidatesParamR)
}
##Loop_to_test_the_various_candidates_____________________________________
iNewOptim <- 0
for (iNew in 1:nrow(CandidatesParamR)) {
##Model_run
Param <- CandidatesParamR[iNew, ]
OutputsModel <- FUN_MOD(InputsModel, RunOptions, Param)
OutputsModel <- RunModel(InputsModel, RunOptions, Param, FUN_MOD = FUN_MOD, ...)
##Calibration_criterion_computation
OutputsCrit <- ErrorCrit(InputsCrit, OutputsModel, verbose = FALSE)
OutputsCrit <- ErrorCrit(InputsCrit, OutputsModel, verbose = FALSE)
if (!is.na(OutputsCrit$CritValue)) {
if (OutputsCrit$CritValue * OutputsCrit$Multiplier < CritOptim) {
CritOptim <- OutputsCrit$CritValue * OutputsCrit$Multiplier
......@@ -381,8 +307,8 @@ Calibration_Michel <- function(InputsModel,
}
}
NRuns <- NRuns + nrow(CandidatesParamR)
##When_a_progress_has_been_achieved_______________________________________
if (iNewOptim != 0) {
##We_store_the_optimal_set
......@@ -397,7 +323,7 @@ Calibration_Michel <- function(InputsModel,
##We_update_PaceDiag
VectPace <- NewParamOptimT-OldParamOptimT
for (iC in 1:NParam) {
if (OptimParam[iC]) {
if (OptimParam[iC]) {
PaceDiag[iC] <- CLG * PaceDiag[iC] + (1-CLG) * VectPace[iC]
}
}
......@@ -406,8 +332,8 @@ Calibration_Michel <- function(InputsModel,
Pace <- Pace / 2
Compt <- 0
}
##Test_of_an_additional_candidate_using_diagonal_progress_________________
if (ITER > 4 * NParam) {
NRuns <- NRuns + 1
......@@ -431,7 +357,7 @@ Calibration_Michel <- function(InputsModel,
CandidatesParamR <- FUN_TRANSFO(CandidatesParamT, "TR")
##Model_run
Param <- CandidatesParamR[iNew, ]
OutputsModel <- FUN_MOD(InputsModel, RunOptions, Param)
OutputsModel <- RunModel(InputsModel, RunOptions, Param, FUN_MOD = FUN_MOD, ...)
##Calibration_criterion_computation
OutputsCrit <- ErrorCrit(InputsCrit, OutputsModel, verbose = FALSE)
if (OutputsCrit$CritValue * OutputsCrit$Multiplier < CritOptim) {
......@@ -443,34 +369,34 @@ Calibration_Michel <- function(InputsModel,
OldParamOptimT <- NewParamOptimT
NewParamOptimT <- matrix(CandidatesParamT[iNewOptim, 1:NParam], nrow = 1)
}
}
##Results_archiving_______________________________________________________
NewParamOptimR <- FUN_TRANSFO(NewParamOptimT, "TR")
HistParamR[ITER+1, ] <- NewParamOptimR
HistParamT[ITER+1, ] <- NewParamOptimT
HistCrit[ITER+1, ] <- CritOptim
### if (verbose) { cat(paste("\t Iter ",formatC(ITER,format="d",width=3), " Crit ",formatC(CritOptim,format="f",digits=4), " Pace ",formatC(Pace,format="f",digits=4), "\n",sep=""))}
} ##END_LOOP_ITER_________________________________________________________
ITER <- ITER - 1
##Case_when_the_starting_parameter_set_remains_the_best_solution__________
if (CritOptim == CritStart & verbose) {
if (CritOptim == CritStart & verbose) {
message("\t No progress achieved")
}
##End_of_Steepest_Descent_Local_Search____________________________________
ParamFinalR <- NewParamOptimR
ParamFinalT <- NewParamOptimT
CritFinal <- CritOptim
NIter <- 1 + ITER
if (verbose) {
if (verbose) {
message(sprintf("\t Calibration completed (%s iterations, %s runs)", NIter, NRuns))
message("\t Param = ", paste(sprintf("%8.3f", ParamFinalR), collapse = ", "))
message(sprintf("\t Crit. %-12s = %.4f", CritName, CritFinal * Multiplier))
......@@ -479,7 +405,7 @@ Calibration_Michel <- function(InputsModel,
listNameCrit <- OutputsCrit$CritCompo$MultiCritNames
msgForm <- paste(sprintf("%.2f", listweights), listNameCrit, sep = " * ", collapse = ", ")
msgForm <- unlist(strsplit(msgForm, split = ","))
msgFormSep <- rep(c(",", ",", ",\n\t\t "), times = ceiling(length(msgForm)/3))[1: length(msgForm)]
msgFormSep <- rep(c(",", ",", ",\n\t\t "), times = ceiling(length(msgForm)/3))[1:length(msgForm)]
msgForm <- paste(msgForm, msgFormSep, sep = "", collapse = "")
msgForm <- gsub("\\,\\\n\\\t\\\t $|\\,$", "", msgForm)
message("\tFormula: sum(", msgForm, ")")
......@@ -492,13 +418,13 @@ Calibration_Michel <- function(InputsModel,
colnames(HistParamT) <- paste0("Param", 1:NParam)
HistCrit <- cbind(HistCrit[1:NIter, ])
###colnames(HistCrit) <- paste("HistCrit")
BoolCrit_Actual <- InputsCrit$BoolCrit
BoolCrit_Actual[OutputsCrit$Ind_notcomputed] <- FALSE
MatBoolCrit <- cbind(InputsCrit$BoolCrit, BoolCrit_Actual)
colnames(MatBoolCrit) <- c("BoolCrit_Requested", "BoolCrit_Actual")
##_____Output______________________________________________________________________________
OutputsCalib <- list(ParamFinalR = as.double(ParamFinalR), CritFinal = CritFinal * Multiplier,
NIter = NIter, NRuns = NRuns,
......@@ -507,8 +433,7 @@ Calibration_Michel <- function(InputsModel,
CritName = CritName, CritBestValue = CritBestValue)
class(OutputsCalib) <- c("OutputsCalib", "HBAN")
return(OutputsCalib)
}
}
R/CreateCalibOptions.R
View file @ 4bccfee2
This diff is collapsed.
R/CreateErrorCrit_GAPX.R 0 → 100644
View file @ 4bccfee2
CreateErrorCrit_GAPX <- function(FUN_TRANSFO) {
FUN_CRIT <- function(InputsCrit, OutputsModel, warnings = TRUE, verbose = TRUE) {
## Arguments check
if (!inherits(OutputsModel, "OutputsModel")) {
stop("'OutputsModel' must be of class 'OutputsModel'")
}
OutputsModel$RunOptions$ParamT <- FUN_TRANSFO(OutputsModel$RunOptions$Param, "RT")
EC <- .ErrorCrit(InputsCrit = InputsCrit, Crit = "GAPX", OutputsModel = OutputsModel, warnings = warnings)
CritValue <- NA
if (EC$CritCompute) {
ParamApr <- EC$VarObs[!EC$TS_ignore]
ParamOpt <- EC$VarSim[!EC$TS_ignore]
## ErrorCrit
Crit <- 1 - sum(((ParamApr - ParamOpt) / 20)^2)^0.5
if (is.numeric(Crit) & is.finite(Crit)) {
CritValue <- Crit
}
## Verbose
if (verbose) {
message(sprintf("Crit. %s = %.4f", EC$CritName, CritValue))
}
}
## Output
OutputsCrit <- list(CritValue = CritValue,
CritName = EC$CritName,
CritBestValue = EC$CritBestValue,
Multiplier = EC$Multiplier,
Ind_notcomputed = EC$Ind_TS_ignore)
class(OutputsCrit) <- c("GAPX", "ErrorCrit")
return(OutputsCrit)
}
class(FUN_CRIT) <- c("FUN_CRIT", class(FUN_CRIT))
return(FUN_CRIT)
}
R/CreateIniStates.R
View file @ 4bccfee2
CreateIniStates <- function(FUN_MOD, InputsModel, IsHyst = FALSE,
ProdStore = 350, RoutStore = 90, ExpStore = NULL,
CreateIniStates <- function(FUN_MOD, InputsModel, IsHyst = FALSE, IsIntStore = FALSE,
ProdStore = 350, RoutStore = 90, ExpStore = NULL, IntStore = NULL,
UH1 = NULL, UH2 = NULL,
GCemaNeigeLayers = NULL, eTGCemaNeigeLayers = NULL,
GthrCemaNeigeLayers = NULL, GlocmaxCemaNeigeLayers = NULL,
SD = NULL,
verbose = TRUE) {
ObjectClass <- NULL
UH1n <- 20L
UH2n <- UH1n * 2L
nameFUN_MOD <- as.character(substitute(FUN_MOD))
FUN_MOD <- match.fun(FUN_MOD)
## check FUN_MOD
BOOL <- FALSE
if (identical(FUN_MOD, RunModel_GR4H)) {
ObjectClass <- c(ObjectClass, "GR", "hourly")
BOOL <- TRUE
}
if (identical(FUN_MOD, RunModel_GR4J) |
identical(FUN_MOD, RunModel_GR5J) |
identical(FUN_MOD, RunModel_GR6J)) {
ObjectClass <- c(ObjectClass, "GR", "daily")
BOOL <- TRUE
}
if (identical(FUN_MOD, RunModel_GR2M)) {
ObjectClass <- c(ObjectClass, "GR", "monthly")
BOOL <- TRUE
}
if (identical(FUN_MOD, RunModel_GR1A)) {
stop("'RunModel_GR1A' does not require 'IniStates' object")
}
if (identical(FUN_MOD, RunModel_CemaNeige)) {
ObjectClass <- c(ObjectClass, "CemaNeige", "daily")
BOOL <- TRUE
}
if (identical(FUN_MOD, RunModel_CemaNeigeGR4J) |
identical(FUN_MOD, RunModel_CemaNeigeGR5J) |
identical(FUN_MOD, RunModel_CemaNeigeGR6J)) {
ObjectClass <- c(ObjectClass, "GR", "CemaNeige", "daily")
BOOL <- TRUE
}
if (!BOOL) {
stop("incorrect 'FUN_MOD' for use in 'CreateIniStates'")
}
FeatFUN_MOD <- .GetFeatModel(FUN_MOD = FUN_MOD, DatesR = InputsModel$DatesR)
ObjectClass <- FeatFUN_MOD$Class
if (!"CemaNeige" %in% ObjectClass & IsHyst) {
stop("'IsHyst' cannot be TRUE if CemaNeige is not used in 'FUN_MOD'")
}
if (!(identical(FUN_MOD, RunModel_GR5H) | identical(FUN_MOD, RunModel_CemaNeigeGR5H)) & IsIntStore) {
stop("'IsIntStore' cannot be TRUE if GR5H is not used in 'FUN_MOD'")
}
## check InputsModel
if (!inherits(InputsModel, "InputsModel")) {
stop("'InputsModel' must be of class 'InputsModel'")
......@@ -61,118 +35,136 @@ CreateIniStates <- function(FUN_MOD, InputsModel, IsHyst = FALSE,
!inherits(InputsModel, "CemaNeige")) {
stop("'InputsModel' must be of class 'CemaNeige'")
}
## check states
if (any(eTGCemaNeigeLayers > 0)) {
stop("Positive values are not allowed for 'eTGCemaNeigeLayers'")
}
}
if (identical(FUN_MOD, RunModel_GR6J) | identical(FUN_MOD, RunModel_CemaNeigeGR6J)) {
if (is.null(ExpStore)) {
stop("'RunModel_*GR6J' need an 'ExpStore' value")
}
} else if (!is.null(ExpStore)) {
if (verbose) {
warning(sprintf("'%s' does not require 'ExpStore'. Value set to NA", nameFUN_MOD))
warning(sprintf("'%s' does not require 'ExpStore'. Value set to NA", FeatFUN_MOD$NameFunMod))
}
ExpStore <- Inf
}
if (identical(FUN_MOD, RunModel_GR2M)) {
if (!is.null(UH1)) {
if (verbose) {
warning(sprintf("'%s' does not require 'UH1'. Values set to NA", nameFUN_MOD))
warning(sprintf("'%s' does not require 'UH1'. Values set to NA", FeatFUN_MOD$NameFunMod))
}
UH1 <- rep(Inf, UH1n)
}
if (!is.null(UH2)) {
if (verbose) {
warning(sprintf("'%s' does not require 'UH2'. Values set to NA", nameFUN_MOD))
warning(sprintf("'%s' does not require 'UH2'. Values set to NA", FeatFUN_MOD$NameFunMod))
}
UH2 <- rep(Inf, UH2n)
}
}
if ((identical(FUN_MOD, RunModel_GR5J) | identical(FUN_MOD, RunModel_CemaNeigeGR5J)) & !is.null(UH1)) {
if (verbose) {
warning(sprintf("'%s' does not require 'UH1'. Values set to NA", nameFUN_MOD))
warning(sprintf("'%s' does not require 'UH1'. Values set to NA", FeatFUN_MOD$NameFunMod))
}
UH1 <- rep(Inf, UH1n)
}
if (!(identical(FUN_MOD, RunModel_GR5H) | identical(FUN_MOD, RunModel_CemaNeigeGR5H)) & !is.null(IntStore)) {
if (verbose) {
warning(sprintf("'%s' does not require 'IntStore'. Values set to NA", FeatFUN_MOD$NameFunMod))
}
IntStore <- Inf
}
if ("CemaNeige" %in% ObjectClass & ! "GR" %in% ObjectClass) {
if (!is.null(ProdStore)) {
if (verbose) {
warning(sprintf("'%s' does not require 'ProdStore'. Values set to NA", nameFUN_MOD))
warning(sprintf("'%s' does not require 'ProdStore'. Values set to NA", FeatFUN_MOD$NameFunMod))
}
}
ProdStore <- Inf
if (!is.null(RoutStore)) {
if (verbose) {
warning(sprintf("'%s' does not require 'RoutStore'. Values set to NA", nameFUN_MOD))
warning(sprintf("'%s' does not require 'RoutStore'. Values set to NA", FeatFUN_MOD$NameFunMod))
}
}
RoutStore <- Inf
if (!is.null(ExpStore)) {
if (verbose) {
warning(sprintf("'%s' does not require 'ExpStore'. Values set to NA", nameFUN_MOD))
warning(sprintf("'%s' does not require 'ExpStore'. Values set to NA", FeatFUN_MOD$NameFunMod))
}
}
ExpStore <- Inf
if (!is.null(IntStore)) {
if (verbose) {
warning(sprintf("'%s' does not require 'IntStore'. Values set to NA", FeatFUN_MOD$NameFunMod))
}
}
IntStore <- Inf
if (!is.null(UH1)) {
if (verbose) {
warning(sprintf("'%s' does not require 'UH1'. Values set to NA", nameFUN_MOD))
warning(sprintf("'%s' does not require 'UH1'. Values set to NA", FeatFUN_MOD$NameFunMod))
}
}
UH1 <- rep(Inf, UH1n)
if (!is.null(UH2)) {
if (verbose) {
warning(sprintf("'%s' does not require 'UH2'. Values set to NA", nameFUN_MOD))
warning(sprintf("'%s' does not require 'UH2'. Values set to NA", FeatFUN_MOD$NameFunMod))
}
}
UH2 <- rep(Inf, UH2n)
}
if("CemaNeige" %in% ObjectClass & !IsHyst &
if (IsIntStore & is.null(IntStore)) {
stop(sprintf("'%s' need values for 'IntStore'", FeatFUN_MOD$NameFunMod))
}
if ("CemaNeige" %in% ObjectClass & !IsHyst &
(is.null(GCemaNeigeLayers) | is.null(eTGCemaNeigeLayers))) {
stop(sprintf("'%s' need values for 'GCemaNeigeLayers' and 'GCemaNeigeLayers'", nameFUN_MOD))
stop(sprintf("'%s' need values for 'GCemaNeigeLayers' and 'GCemaNeigeLayers'", FeatFUN_MOD$NameFunMod))
}
if("CemaNeige" %in% ObjectClass & IsHyst &
if ("CemaNeige" %in% ObjectClass & IsHyst &
(is.null(GCemaNeigeLayers) | is.null(eTGCemaNeigeLayers) |
is.null(GthrCemaNeigeLayers) | is.null(GlocmaxCemaNeigeLayers))) {
stop(sprintf("'%s' need values for 'GCemaNeigeLayers', 'GCemaNeigeLayers', 'GthrCemaNeigeLayers' and 'GlocmaxCemaNeigeLayers'", nameFUN_MOD))
stop(sprintf("'%s' need values for 'GCemaNeigeLayers', 'GCemaNeigeLayers', 'GthrCemaNeigeLayers' and 'GlocmaxCemaNeigeLayers'", FeatFUN_MOD$NameFunMod))
}
if("CemaNeige" %in% ObjectClass & !IsHyst &
if ("CemaNeige" %in% ObjectClass & !IsHyst &
(!is.null(GthrCemaNeigeLayers) | !is.null(GlocmaxCemaNeigeLayers))) {
if (verbose) {
warning(sprintf("'%s' does not require 'GthrCemaNeigeLayers' and 'GlocmaxCemaNeigeLayers'. Values set to NA", nameFUN_MOD))
warning(sprintf("'%s' does not require 'GthrCemaNeigeLayers' and 'GlocmaxCemaNeigeLayers'. Values set to NA", FeatFUN_MOD$NameFunMod))
}
GthrCemaNeigeLayers <- Inf
GlocmaxCemaNeigeLayers <- Inf
GlocmaxCemaNeigeLayers <- Inf
}
if(!"CemaNeige" %in% ObjectClass &
if (!"CemaNeige" %in% ObjectClass &
(!is.null(GCemaNeigeLayers) | !is.null(eTGCemaNeigeLayers) | !is.null(GthrCemaNeigeLayers) | !is.null(GlocmaxCemaNeigeLayers))) {
if (verbose) {
warning(sprintf("'%s' does not require 'GCemaNeigeLayers' 'GCemaNeigeLayers', 'GthrCemaNeigeLayers' and 'GlocmaxCemaNeigeLayers'. Values set to NA", nameFUN_MOD))
warning(sprintf("'%s' does not require 'GCemaNeigeLayers' 'GCemaNeigeLayers', 'GthrCemaNeigeLayers' and 'GlocmaxCemaNeigeLayers'. Values set to NA", FeatFUN_MOD$NameFunMod))
}
GCemaNeigeLayers <- Inf
eTGCemaNeigeLayers <- Inf
GthrCemaNeigeLayers <- Inf
GlocmaxCemaNeigeLayers <- Inf
GlocmaxCemaNeigeLayers <- Inf
}
## set states
if("CemaNeige" %in% ObjectClass) {
if ("CemaNeige" %in% ObjectClass) {
NLayers <- length(InputsModel$LayerPrecip)
} else {
NLayers <- 1
}
## manage NULL values
if (is.null(ExpStore)) {
ExpStore <- Inf
ExpStore <- Inf
}
if (is.null(IntStore)) {
IntStore <- Inf
}
if (is.null(UH1)) {
if ("hourly" %in% ObjectClass) {
......@@ -199,19 +191,24 @@ CreateIniStates <- function(FUN_MOD, InputsModel, IsHyst = FALSE,
if (is.null(GthrCemaNeigeLayers)) {
GthrCemaNeigeLayers <- rep(Inf, NLayers)
}
if (any(is.infinite(GthrCemaNeigeLayers))) {
GthrCemaNeigeLayers <- rep(Inf, NLayers)
}
if (is.null(GlocmaxCemaNeigeLayers)) {
GlocmaxCemaNeigeLayers <- rep(Inf, NLayers)
}
if (any(is.infinite(GlocmaxCemaNeigeLayers))) {
GlocmaxCemaNeigeLayers <- rep(Inf, NLayers)
}
# check negative values
if (any(ProdStore < 0) | any(RoutStore < 0) |
if (any(ProdStore < 0) | any(RoutStore < 0) | any(IntStore < 0) |
any(UH1 < 0) | any(UH2 < 0) |
any(GCemaNeigeLayers < 0)) {
stop("Negative values are not allowed for any of 'ProdStore', 'RoutStore', 'UH1', 'UH2', 'GCemaNeigeLayers'")
stop("Negative values are not allowed for any of 'ProdStore', 'RoutStore', 'IntStore', 'UH1', 'UH2', 'GCemaNeigeLayers'")
}
## check length
if (!is.numeric(ProdStore) || length(ProdStore) != 1L) {
stop("'ProdStore' must be numeric of length one")
......@@ -222,6 +219,9 @@ CreateIniStates <- function(FUN_MOD, InputsModel, IsHyst = FALSE,
if (!is.numeric(ExpStore) || length(ExpStore) != 1L) {
stop("'ExpStore' must be numeric of length one")
}
if (!is.numeric(IntStore) || length(IntStore) != 1L) {
stop("'IntStore' must be numeric of length one")
}
if ( "hourly" %in% ObjectClass & (!is.numeric(UH1) || length(UH1) != UH1n * 24)) {
stop(sprintf("'UH1' must be numeric of length 480 (%i * 24)", UH1n))
}
......@@ -248,23 +248,46 @@ CreateIniStates <- function(FUN_MOD, InputsModel, IsHyst = FALSE,
stop(sprintf("'eTGCemaNeigeLayers' must be numeric of length %i", NLayers))
}
}
# SD model state handling
if (!is.null(SD)) {
if (!inherits(InputsModel, "SD")) {
stop("'SD' argument provided and 'InputsModel' is not of class 'SD'")
}
if (!is.list(SD)) {
stop("'SD' argument must be a list")
}
lapply(SD, function(x) {
if (!is.numeric(x)) stop("Each item of 'SD' list argument must be numeric")
})
if (length(SD) != length(InputsModel$LengthHydro)) {
stop("Number of items of 'SD' list argument must be the same as the number of upstream connections",
sprintf(" (%i required, found %i)", length(InputsModel$LengthHydro), length(SD)))
}
}
## format output
IniStates <- list(Store = list(Prod = ProdStore, Rout = RoutStore, Exp = ExpStore),
IniStates <- list(Store = list(Prod = ProdStore, Rout = RoutStore, Exp = ExpStore, Int = IntStore),
UH = list(UH1 = UH1, UH2 = UH2),
CemaNeigeLayers = list(G = GCemaNeigeLayers, eTG = eTGCemaNeigeLayers,
Gthr = GthrCemaNeigeLayers, Glocmax = GlocmaxCemaNeigeLayers))
IniStatesNA <- unlist(IniStates)
IniStatesNA[is.infinite(IniStatesNA)] <- NA
IniStatesNA <- relist(IniStatesNA, skeleton = IniStates)
if (!is.null(SD)) {
IniStatesNA$SD <- SD
}
class(IniStatesNA) <- c("IniStates", ObjectClass)
if(IsHyst) {
if (IsHyst) {
class(IniStatesNA) <- c(class(IniStatesNA), "hysteresis")
}
if (IsIntStore) {
class(IniStatesNA) <- c(class(IniStatesNA), "interception")
}
return(IniStatesNA)
}
R/CreateInputsCrit.R
View file @ 4bccfee2
CreateInputsCrit <- function(FUN_CRIT,
InputsModel,
RunOptions,
Qobs, # deprecated
Obs,
VarObs = "Q",
BoolCrit = NULL,
transfo = "",
Weights = NULL,
Ind_zeroes = NULL, # deprecated
epsilon = NULL,
warnings = TRUE,
verbose = TRUE) {
warnings = TRUE) {
ObjectClass <- NULL
## ---------- check arguments
if (!missing(Qobs)) {
if (missing(Obs)) {
if (warnings) {
warning("argument 'Qobs' is deprecated. Please use 'Obs' and 'VarObs' instead")
}
Obs <- Qobs
# VarObs <- "Qobs"
} else {
warning("argument 'Qobs' is deprecated. The values set in 'Obs' will be used instead")
}
}
if (!missing(Ind_zeroes) & warnings) {
warning("deprecated 'Ind_zeroes' argument")
}
if (!missing(verbose)) {
warning("deprecated 'verbose' argument. Use 'warnings', instead")
}
## check 'InputsModel'
if (!inherits(InputsModel, "InputsModel")) {
stop("'InputsModel' must be of class 'InputsModel'")
}
## length of index of period to be used for the model run
LLL <- length(InputsModel$DatesR[RunOptions$IndPeriod_Run])
## check 'Obs' and definition of idLayer
vecObs <- unlist(Obs)
if (length(vecObs) %% LLL != 0 | !is.numeric(vecObs)) {
stop(sprintf("'Obs' must be a (list of) vector(s) of numeric values of length %i", LLL), call. = FALSE)
if (!is.numeric(unlist(Obs))) {
stop("'Obs' must be a (list of) vector(s) of numeric values")
}
Obs2 <- Obs
if ("ParamT" %in% VarObs) {
if (is.list(Obs2)) {
Obs2[[which(VarObs == "ParamT")]] <- NULL
} else {
Obs2 <- NULL
}
}
if (!is.null(Obs2)) {
vecObs <- unlist(Obs2)
if (length(vecObs) %% LLL != 0) {
stop(sprintf("'Obs' must be a (list of) vector(s) of numeric values of length %i", LLL), call. = FALSE)
}
}
if (!is.list(Obs)) {
idLayer <- list(1L)
......@@ -65,8 +56,8 @@ CreateInputsCrit <- function(FUN_CRIT,
})
Obs <- lapply(Obs, function(x) rowMeans(as.data.frame(x)))
}
## create list of arguments
listArgs <- list(FUN_CRIT = FUN_CRIT,
Obs = Obs,
......@@ -76,8 +67,8 @@ CreateInputsCrit <- function(FUN_CRIT,
transfo = as.character(transfo),
Weights = Weights,
epsilon = epsilon)
## check lists lengths
for (iArgs in names(listArgs)) {
if (iArgs %in% c("Weights", "BoolCrit", "epsilon")) {
......@@ -92,11 +83,11 @@ CreateInputsCrit <- function(FUN_CRIT,
listArgs[[iArgs]] <- list(listArgs[[iArgs]])
}
}
## check 'FUN_CRIT'
listArgs$FUN_CRIT <- lapply(listArgs$FUN_CRIT, FUN = match.fun)
## check 'VarObs'
if (missing(VarObs)) {
listArgs$VarObs <- as.list(rep("Q", times = length(listArgs$Obs)))
......@@ -104,8 +95,8 @@ CreateInputsCrit <- function(FUN_CRIT,
# warning("'VarObs' automatically set to \"Q\"")
# }
}
## check 'VarObs' + 'RunOptions'
if ("Q" %in% VarObs & !inherits(RunOptions, "GR")) {
stop("'VarObs' cannot contain Q if a GR rainfall-runoff model is not used")
......@@ -119,67 +110,76 @@ CreateInputsCrit <- function(FUN_CRIT,
if ("SWE" %in% VarObs & inherits(RunOptions, "CemaNeige") & !"SnowPack" %in% RunOptions$Outputs_Sim) {
stop("'SnowPack' is missing in 'Outputs_Sim' of 'RunOptions', which is necessary to output SWE with CemaNeige")
}
## check 'transfo'
if (missing(transfo)) {
listArgs$transfo <- as.list(rep("", times = length(listArgs$Obs)))
# if (warnings) {
# warning("'transfo' automatically set to \"\"")
# }
}
}
## check length of each args
if (length(unique(sapply(listArgs, FUN = length))) != 1) {
stopListArgs <- paste(sapply(names(listArgs), shQuote), collapse = ", ")
stop(sprintf("arguments %s must have the same length", stopListArgs))
}
## check 'RunOptions'
if (!inherits(RunOptions , "RunOptions")) {
stop("'RunOptions' must be of class 'RunOptions'")
}
## check 'Weights'
if (length(listArgs$Weights) > 1 & sum(unlist(listArgs$Weights)) == 0 & !any(sapply(listArgs$Weights, is.null))) {
stop("sum of 'Weights' cannot be equal to zero")
}
## ---------- reformat
## reformat list of arguments
listArgs2 <- lapply(seq_along(listArgs$FUN_CRIT), function(i) lapply(listArgs, "[[", i))
## preparation of warning messages
inVarObs <- c("Q", "SCA", "SWE")
inVarObs <- c("Q", "SCA", "SWE", "ParamT")
msgVarObs <- "'VarObs' must be a (list of) character vector(s) and one of %s"
msgVarObs <- sprintf(msgVarObs, paste(sapply(inVarObs, shQuote), collapse = ", "))
inTransfo <- c("", "sqrt", "log", "inv", "sort", "boxcox") # pow is not checked by inTransfo, but appears in the warning message and checkef after (see ## check 'transfo')
msgTransfo <- "'transfo' must be a (list of) character vector(s) and one of %s, or numeric value for power transformation"
msgTransfo <- sprintf(msgTransfo, paste(sapply(inTransfo, shQuote), collapse = ", "))
## ---------- loop on the list of inputs
InputsCrit <- lapply(listArgs2, function(iListArgs2) {
## define FUN_CRIT as a character string
iListArgs2$FUN_CRIT <- match.fun(iListArgs2$FUN_CRIT)
## check 'FUN_CRIT'
if (!(identical(iListArgs2$FUN_CRIT, ErrorCrit_NSE ) | identical(iListArgs2$FUN_CRIT, ErrorCrit_KGE ) |
identical(iListArgs2$FUN_CRIT, ErrorCrit_KGE2) | identical(iListArgs2$FUN_CRIT, ErrorCrit_RMSE))) {
if (!all(class(iListArgs2$FUN_CRIT) == c("FUN_CRIT", "function"))) {
stop("incorrect 'FUN_CRIT' for use in 'CreateInputsCrit'", call. = FALSE)
}
if (identical(iListArgs2$FUN_CRIT, ErrorCrit_RMSE) & length(listArgs$Weights) > 1 & all(!is.null(unlist(listArgs$Weights)))) {
stop("calculating a composite criterion with the RMSE is not allowed since RMSE is not a dimensionless metric", call. = FALSE)
}
## check 'Obs'
if (!is.vector(iListArgs2$Obs) | length(iListArgs2$Obs) != LLL | !is.numeric(iListArgs2$Obs)) {
stop(sprintf("'Obs' must be a (list of) vector(s) of numeric values of length %i", LLL), call. = FALSE)
if (iListArgs2$VarObs == "ParamT") {
# Parameter for regularisation
L2 <- RunOptions$FeatFUN_MOD$NbParam
} else {
# Observation time series
L2 <- LLL
}
if (!is.vector(iListArgs2$Obs) | length(iListArgs2$Obs) != L2 | !is.numeric(iListArgs2$Obs)) {
stop(sprintf("'Obs' must be a (list of) vector(s) of numeric values of length %i", L2), call. = FALSE)
}
## check 'BoolCrit'
if (is.null(iListArgs2$BoolCrit)) {
iListArgs2$BoolCrit <- rep(TRUE, length(iListArgs2$Obs))
......@@ -187,15 +187,15 @@ CreateInputsCrit <- function(FUN_CRIT,
if (!is.logical(iListArgs2$BoolCrit)) {
stop("'BoolCrit' must be a (list of) vector(s) of boolean", call. = FALSE)
}
if (length(iListArgs2$BoolCrit) != LLL) {
stop("'BoolCrit' and 'InputsModel' series must have the same length", call. = FALSE)
if (length(iListArgs2$BoolCrit) != L2) {
stop("'BoolCrit' and the period defined in 'RunOptions' must have the same length", call. = FALSE)
}
## check 'VarObs'
if (!is.vector(iListArgs2$VarObs) | length(iListArgs2$VarObs) != 1 | !is.character(iListArgs2$VarObs) | !all(iListArgs2$VarObs %in% inVarObs)) {
stop(msgVarObs, call. = FALSE)
}
## check 'VarObs' + 'Obs'
if (any(iListArgs2$VarObs %in% "SCA")) {
idSCA <- which(iListArgs2$VarObs == "SCA")
......@@ -207,7 +207,7 @@ CreateInputsCrit <- function(FUN_CRIT,
if (min(vecSCA, na.rm = TRUE) < 0 | max(vecSCA, na.rm = TRUE) > 1) {
stop("'Obs' outside [0,1] for \"SCA\"", call. = FALSE)
}
}
}
inPosVarObs <- c("Q", "SWE")
if (any(iListArgs2$VarObs %in% inPosVarObs)) {
idQSS <- which(iListArgs2$VarObs %in% inPosVarObs)
......@@ -223,8 +223,8 @@ CreateInputsCrit <- function(FUN_CRIT,
stop(sprintf("'Obs' outside [0,Inf[ for \"%s\"", iListArgs2$VarObs), call. = FALSE)
}
}
## check 'transfo'
if (is.null(iListArgs2$transfo) | !is.vector(iListArgs2$transfo) | length(iListArgs2$transfo) != 1 | !is.character(iListArgs2$transfo)) {
stop(msgTransfo, call. = FALSE)
......@@ -239,14 +239,14 @@ CreateInputsCrit <- function(FUN_CRIT,
}
iListArgs2$transfo <- paste0("^", iListArgs2$transfo)
}
## check 'Weights'
if (!is.null(iListArgs2$Weights)) {
if (!is.vector(iListArgs2$Weights) | length(iListArgs2$Weights) != 1 | !is.numeric(iListArgs2$Weights) | any(iListArgs2$Weights < 0)) {
stop("'Weights' must be a single (list of) positive or equal to zero value(s)", call. = FALSE)
}
}
## check 'epsilon'
if (!is.null(iListArgs2$epsilon)) {
if (!is.vector(iListArgs2$epsilon) | length(iListArgs2$epsilon) != 1 | !is.numeric(iListArgs2$epsilon) | any(iListArgs2$epsilon <= 0)) {
......@@ -255,7 +255,7 @@ CreateInputsCrit <- function(FUN_CRIT,
} else if (iListArgs2$transfo %in% c("log", "inv") & any(iListArgs2$Obs %in% 0) & warnings) {
warning("zeroes detected in Obs: the corresponding time-steps will be excluded by the 'ErrorCrit*' functions as the epsilon argument was set to NULL", call. = FALSE)
}
## check 'transfo' + 'FUN_CRIT'
if (iListArgs2$transfo == "log" & warnings) {
warn_log_kge <- "we do not advise using the %s with a log transformation on Obs (see the details section in the 'CreateInputsCrit' help)"
......@@ -266,7 +266,7 @@ CreateInputsCrit <- function(FUN_CRIT,
warning(sprintf(warn_log_kge, "KGE'"), call. = FALSE)
}
}
## Create InputsCrit
iInputsCrit <- list(FUN_CRIT = iListArgs2$FUN_CRIT,
......@@ -279,21 +279,14 @@ CreateInputsCrit <- function(FUN_CRIT,
Weights = iListArgs2$Weights)
class(iInputsCrit) <- c("Single", "InputsCrit", ObjectClass)
return(iInputsCrit)
})
names(InputsCrit) <- paste0("IC", seq_along(InputsCrit))
## define FUN_CRIT as a characater string
listErrorCrit <- c("ErrorCrit_KGE", "ErrorCrit_KGE2", "ErrorCrit_NSE", "ErrorCrit_RMSE")
InputsCrit <- lapply(InputsCrit, function(i) {
i$FUN_CRIT <- listErrorCrit[sapply(listErrorCrit, function(j) identical(i$FUN_CRIT, get(j)))]
i
})
listVarObs <- sapply(InputsCrit, FUN = "[[", "VarObs")
inCnVarObs <- c("SCA", "SWE")
if (!"ZLayers" %in% names(InputsModel)) {
if(any(listVarObs %in% inCnVarObs)) {
if (any(listVarObs %in% inCnVarObs)) {
stop(sprintf("'VarObs' can not be equal to %i if CemaNeige is not used",
paste(sapply(inCnVarObs, shQuote), collapse = " or ")))
}
......@@ -311,10 +304,10 @@ CreateInputsCrit <- function(FUN_CRIT,
}
}
}
## define idLayer as an index of the layer to use
for (iInCnVarObs in unique(listVarObs)) {
if (iInCnVarObs == "Q") {
if (!iInCnVarObs %in% inCnVarObs) {
for (i in which(listVarObs == iInCnVarObs)) {
InputsCrit[[i]]$idLayer <- NA
}
......@@ -330,8 +323,8 @@ CreateInputsCrit <- function(FUN_CRIT,
}
}
}
## if only one criterion --> not a list of InputsCrit but directly an InputsCrit
if (length(InputsCrit) < 2) {
InputsCrit <- InputsCrit[[1L]]
......@@ -348,12 +341,12 @@ CreateInputsCrit <- function(FUN_CRIT,
combInputsCrit <- combn(x = length(InputsCrit), m = 2)
apply(combInputsCrit, MARGIN = 2, function(i) {
equalInputsCrit <- identical(InputsCrit[[i[1]]], InputsCrit[[i[2]]])
if(equalInputsCrit) {
if (equalInputsCrit) {
warning(sprintf("elements %i and %i of the criteria list are identical. This might not be necessary", i[1], i[2]), call. = FALSE)
}
})
}
return(InputsCrit)
}
R/CreateInputsCrit_Lavenne.R 0 → 100644
View file @ 4bccfee2
CreateInputsCrit_Lavenne <- function(FUN_CRIT = ErrorCrit_KGE,
InputsModel,
RunOptions,
Obs,
VarObs = "Q",
AprParamR,
AprCrit = 1,
k = 0.15,
BoolCrit = NULL,
transfo = "sqrt",
epsilon = NULL) {
# Check parameters
if (!is.numeric(AprCrit) || length(AprCrit) != 1 || AprCrit > 1) {
stop("'AprCrit' must be a numeric of length 1 with a maximum value of 1")
}
if (!is.numeric(k) || length(k) != 1 || k < 0 || k > 1) {
stop("'k' must be a numeric of length 1 with a value between 0 and 1")
}
if (!is.null(BoolCrit) && !is.logical(BoolCrit)) {
stop("'BoolCrit must be logical")
}
if (!is.character(transfo)) {
stop("'transfo' must be character")
}
if (!is.null(epsilon) && !is.numeric(epsilon)) {
stop("'epsilon' must be numeric")
}
if (!is.numeric(AprParamR) || length(AprParamR) != RunOptions$FeatFUN_MOD$NbParam) {
stop("'AprParamR' must be a numeric vector of length ",
RunOptions$FeatFUN_MOD$NbParam)
}
FUN_TRANSFO <- .FunTransfo(RunOptions$FeatFUN_MOD)
AprParamT <- FUN_TRANSFO(AprParamR, "RT")
ErrorCrit_GAPX <- CreateErrorCrit_GAPX(FUN_TRANSFO)
CreateInputsCrit(FUN_CRIT = list(FUN_CRIT, ErrorCrit_GAPX),
InputsModel = InputsModel,
RunOptions = RunOptions,
Obs = list(Obs, AprParamT),
VarObs = c("Q", "ParamT"),
Weights = c(1 - k, k * max(0, AprCrit)),
BoolCrit = list(BoolCrit, NULL),
transfo = list(transfo, ""),
epsilon = list(epsilon, NULL))
}
R/CreateInputsModel.R
View file @ 4bccfee2
This diff is collapsed.
R/CreateRunOptions.R
View file @ 4bccfee2
CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndPeriod_Run,
IniStates = NULL, IniResLevels = NULL,
CreateRunOptions <- function(FUN_MOD, InputsModel,
IndPeriod_WarmUp = NULL, IndPeriod_Run,
IniStates = NULL, IniResLevels = NULL, Imax = NULL,
Outputs_Cal = NULL, Outputs_Sim = "all",
RunSnowModule, MeanAnSolidPrecip = NULL, IsHyst = FALSE,
MeanAnSolidPrecip = NULL, IsHyst = FALSE,
warnings = TRUE, verbose = TRUE) {
if (!missing(RunSnowModule)) {
warning("deprecated 'RunSnowModule' argument: please adapt 'FUN_MOD' instead.", call. = FALSE)
}
if (!is.logical(IsHyst) | length(IsHyst) != 1L) {
stop("'IsHyst' must be a 'logical' of length 1")
if (!is.null(Imax)) {
if (!is.numeric(Imax) | length(Imax) != 1L) {
stop("'Imax' must be a non negative 'numeric' value of length 1")
} else {
if (Imax < 0) {
stop("'Imax' must be a non negative 'numeric' value of length 1")
}
}
IsIntStore <- TRUE
} else {
IsIntStore <- FALSE
}
ObjectClass <- NULL
## check FUN_MOD
FUN_MOD <- match.fun(FUN_MOD)
##check_FUN_MOD
BOOL <- FALSE
if (identical(FUN_MOD, RunModel_GR4H)) {
ObjectClass <- c(ObjectClass, "GR", "hourly")
BOOL <- TRUE
}
if (identical(FUN_MOD, RunModel_GR4J) | identical(FUN_MOD, RunModel_GR5J) | identical(FUN_MOD, RunModel_GR6J)) {
ObjectClass <- c(ObjectClass, "GR", "daily")
BOOL <- TRUE
}
if (identical(FUN_MOD, RunModel_GR2M)) {
ObjectClass <- c(ObjectClass, "GR", "monthly")
BOOL <- TRUE
}
if (identical(FUN_MOD, RunModel_GR1A)) {
ObjectClass <- c(ObjectClass, "GR", "yearly")
BOOL <- TRUE
FeatFUN_MOD <- .GetFeatModel(FUN_MOD = FUN_MOD, DatesR = InputsModel$DatesR)
ObjectClass <- FeatFUN_MOD$Class
TimeStepMean <- FeatFUN_MOD$TimeStepMean
## Model output variable list
FortranOutputs <- .FortranOutputs(GR = FeatFUN_MOD$CodeModHydro,
isCN = "CemaNeige" %in% FeatFUN_MOD$Class)
## manage class
if (IsIntStore) {
ObjectClass <- c(ObjectClass, "interception")
}
if (identical(FUN_MOD, RunModel_CemaNeige)) {
ObjectClass <- c(ObjectClass, "CemaNeige", "daily")
BOOL <- TRUE
if ("CemaNeige" %in% FeatFUN_MOD$Class) {
FeatFUN_MOD$IsHyst <- IsHyst
if (IsHyst) {
ObjectClass <- c(ObjectClass, "hysteresis")
FeatFUN_MOD$NbParam <- FeatFUN_MOD$NbParam + 2
}
}
if (identical(FUN_MOD, RunModel_CemaNeigeGR4J) | identical(FUN_MOD, RunModel_CemaNeigeGR5J) | identical(FUN_MOD, RunModel_CemaNeigeGR6J)) {
ObjectClass <- c(ObjectClass, "GR", "CemaNeige", "daily")
BOOL <- TRUE
## SD model
FeatFUN_MOD$IsSD <- inherits(InputsModel, "SD")
if (FeatFUN_MOD$IsSD) {
FeatFUN_MOD$NbParam <- FeatFUN_MOD$NbParam + 1
}
if (IsHyst) {
ObjectClass <- c(ObjectClass, "hysteresis")
if (!"CemaNeige" %in% ObjectClass & "hysteresis" %in% ObjectClass) {
stop("'IsHyst' cannot be TRUE for the chosen 'FUN_MOD'")
}
if (!BOOL) {
stop("incorrect 'FUN_MOD' for use in 'CreateRunOptions'")
if (!(identical(FUN_MOD, RunModel_GR5H) | identical(FUN_MOD, RunModel_CemaNeigeGR5H)) & "interception" %in% ObjectClass) {
stop("'IMax' cannot be set for the chosen 'FUN_MOD'")
}
##check_InputsModel
if (!inherits(InputsModel, "InputsModel")) {
stop("'InputsModel' must be of class 'InputsModel'")
......@@ -73,8 +79,8 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
!inherits(InputsModel, "yearly")) {
stop("'InputsModel' must be of class 'yearly'")
}
##check_IndPeriod_Run
if (!is.vector(IndPeriod_Run)) {
stop("'IndPeriod_Run' must be a vector of numeric values")
......@@ -88,15 +94,15 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
if (storage.mode(IndPeriod_Run) != "integer") {
stop("'IndPeriod_Run' should be of type integer")
}
##check_IndPeriod_WarmUp
WTxt <- NULL
if (is.null(IndPeriod_WarmUp)) {
WTxt <- paste(WTxt, "model warm up period not defined: default configuration used", sep = "")
##If_the_run_period_starts_at_the_very_beginning_of_the_time_series
if (IndPeriod_Run[1L] == 1L) {
IndPeriod_WarmUp <- as.integer(0)
IndPeriod_WarmUp <- 0L
WTxt <- paste0(WTxt,"\n no data were found for model warm up!")
##We_look_for_the_longest_period_preceeding_the_run_period_with_a_maximum_of_one_year
} else {
......@@ -108,19 +114,7 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
TmpDateR <- TmpDateR - 1 * 24 * 60 * 60
}
IndPeriod_WarmUp <- which(InputsModel$DatesR == max(InputsModel$DatesR[1], TmpDateR)):(IndPeriod_Run[1] - 1)
if ("hourly" %in% ObjectClass) {
TimeStep <- as.integer(60 * 60)
}
if ("daily" %in% ObjectClass) {
TimeStep <- as.integer(24 * 60 * 60)
}
if ("monthly" %in% ObjectClass) {
TimeStep <- as.integer(30.44 * 24 * 60 * 60)
}
if ("yearly" %in% ObjectClass) {
TimeStep <- as.integer(365.25 * 24 * 60 * 60)
}
if (length(IndPeriod_WarmUp) * TimeStep / (365 * 24 * 60 * 60) >= 1) {
if (length(IndPeriod_WarmUp) * TimeStepMean / (365 * 24 * 60 * 60) >= 1) {
WTxt <- paste0(WTxt, "\n the year preceding the run period is used \n")
} else {
WTxt <- paste0(WTxt, "\n less than a year (without missing values) was found for model warm up:")
......@@ -138,41 +132,79 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
if (storage.mode(IndPeriod_WarmUp) != "integer") {
stop("'IndPeriod_WarmUp' should be of type integer")
}
if (identical(IndPeriod_WarmUp, as.integer(0)) & verbose) {
if (identical(IndPeriod_WarmUp, 0L) & verbose) {
message(paste0(WTxt, " No warm up period is used"))
}
if ((IndPeriod_Run[1] - 1) != tail(IndPeriod_WarmUp, 1) & !identical(IndPeriod_WarmUp, as.integer(0))) {
if ((IndPeriod_Run[1] - 1) != tail(IndPeriod_WarmUp, 1) & !identical(IndPeriod_WarmUp, 0L)) {
WTxt <- paste0(WTxt, " Model warm up period is not directly before the model run period")
}
}
if (!is.null(WTxt) & warnings) {
warning(WTxt)
}
## check IniResLevels
## check IniResLevels
if ("GR" %in% ObjectClass & ("monthly" %in% ObjectClass | "daily" %in% ObjectClass | "hourly" %in% ObjectClass)) {
if (!is.null(IniResLevels)) {
if (!is.vector(IniResLevels) | !is.numeric(IniResLevels) | any(is.na(IniResLevels))) {
stop("'IniResLevels' must be a vector of numeric values")
# if (!is.vector(IniResLevels) | !is.numeric(IniResLevels) | any(is.na(IniResLevels))) {
if (!is.vector(IniResLevels) | is.character(IniResLevels) | is.factor(IniResLevels) | length(IniResLevels) != 4) {
stop("'IniResLevels' must be a vector of 4 numeric values")
}
if ((identical(FUN_MOD, RunModel_GR4H) |
identical(FUN_MOD, RunModel_GR4J) | identical(FUN_MOD, RunModel_CemaNeigeGR4J) |
identical(FUN_MOD, RunModel_GR5J) | identical(FUN_MOD, RunModel_CemaNeigeGR5J) |
identical(FUN_MOD, RunModel_GR2M)) &
length(IniResLevels) != 2) {
stop("the length of 'IniResLevels' must be 2 for the chosen 'FUN_MOD'")
# if ((identical(FUN_MOD, RunModel_GR4H) | identical(FUN_MOD, RunModel_CemaNeigeGR4H) |
# # (identical(FUN_MOD, RunModel_GR5H) & !IsIntStore) |
# identical(FUN_MOD, RunModel_GR5H) |
# identical(FUN_MOD, RunModel_GR4J) | identical(FUN_MOD, RunModel_CemaNeigeGR4J) |
# identical(FUN_MOD, RunModel_GR5J) | identical(FUN_MOD, RunModel_CemaNeigeGR5J) |
# identical(FUN_MOD, RunModel_GR2M)) &
# length(IniResLevels) != 2) {
# stop("the length of 'IniResLevels' must be 2 for the chosen 'FUN_MOD'")
# }
if (any(is.na(IniResLevels[1:2]))) {
stop("the first 2 values of 'IniResLevels' cannot be missing values for the chosen 'FUN_MOD'")
}
# if ((identical(FUN_MOD, RunModel_GR6J) | identical(FUN_MOD, RunModel_CemaNeigeGR6J) |
# (identical(FUN_MOD, RunModel_GR5H) & IsIntStore)) &
# length(IniResLevels) != 3) {
# stop("the length of 'IniResLevels' must be 3 for the chosen 'FUN_MOD'")
# }
if ((identical(FUN_MOD, RunModel_GR6J) | identical(FUN_MOD, RunModel_CemaNeigeGR6J))) {
if (is.na(IniResLevels[3L])) {
stop("the third value of 'IniResLevels' cannot be a missing value for the chosen 'FUN_MOD'")
}
} else {
if (!is.na(IniResLevels[3L])) {
warning("the third value of 'IniResLevels' is set to NA value for the chosen 'FUN_MOD'. Only GR6J presents an exponential store")
IniResLevels[3L] <- NA
}
}
if ((identical(FUN_MOD,RunModel_GR6J) | identical(FUN_MOD,RunModel_CemaNeigeGR6J)) &
length(IniResLevels) != 3) {
stop("the length of 'IniResLevels' must be 3 for the chosen 'FUN_MOD'")
if (identical(FUN_MOD, RunModel_GR5H) | identical(FUN_MOD, RunModel_CemaNeigeGR5H)) {
if (IsIntStore & is.na(IniResLevels[4L])) {
stop("the fourth value of 'IniResLevels' cannot be a missing value for the chosen 'FUN_MOD' (GR5H with an interception store)")
}
if (!IsIntStore & !is.na(IniResLevels[4L])) {
warning("the fourth value of 'IniResLevels' is set to NA value for the chosen 'FUN_MOD'. Only GR5H used with an 'Imax' value presents an interception store")
IniResLevels[4L] <- NA
}
} else {
if (!is.na(IniResLevels[4L])) {
warning("the fourth value of 'IniResLevels' is set to NA value for the chosen 'FUN_MOD'. Only GR5H used with an 'Imax' value presents an interception store")
IniResLevels[4L] <- NA
}
}
} else if (is.null(IniStates)) {
IniResLevels <- as.double(c(0.3, 0.5, NA, NA))
if (identical(FUN_MOD, RunModel_GR6J) | identical(FUN_MOD, RunModel_CemaNeigeGR6J)) {
IniResLevels <- as.double(c(0.3, 0.5, 0))
} else {
IniResLevels <- as.double(c(0.3, 0.5, NA))
IniResLevels <- as.double(c(0.3, 0.5, 0, NA))
}
if ((identical(FUN_MOD, RunModel_GR5H) | identical(FUN_MOD, RunModel_CemaNeigeGR5H)) & IsIntStore) {
IniResLevels <- as.double(c(0.3, 0.5, NA, 0))
}
# if (!identical(FUN_MOD, RunModel_GR6J) & !identical(FUN_MOD, RunModel_CemaNeigeGR6J) &
# !identical(FUN_MOD, RunModel_GR5H) & !identical(FUN_MOD, RunModel_CemaNeigeGR5H)) {
# if (is.null(IniStates)) {
# IniResLevels <- as.double(c(0.3, 0.5, NA, NA))
# }
}
} else {
if (!is.null(IniResLevels)) {
......@@ -194,7 +226,7 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
NState <- NULL
if ("GR" %in% ObjectClass | "CemaNeige" %in% ObjectClass) {
if ("hourly" %in% ObjectClass) {
NState <- 7 + 3 * 24 * 20
NState <- 7 + 3 * 24 * 20 + 4 * NLayers
}
if ("daily" %in% ObjectClass) {
NState <- 7 + 3 * 20 + 4 * NLayers
......@@ -207,7 +239,7 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
}
}
if (!is.null(IniStates)) {
if (!inherits(IniStates, "IniStates")) {
stop("'IniStates' must be an object of class 'IniStates'")
}
......@@ -217,25 +249,31 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
if (identical(FUN_MOD, RunModel_GR1A) & !is.null(IniStates)) { ## GR1A
stop(paste0("'IniStates' is not available for the chosen 'FUN_MOD'"))
}
if ((identical(FUN_MOD, RunModel_GR5J) | identical(FUN_MOD, RunModel_CemaNeigeGR5J)) & !all(is.na(IniStates$UH$UH1))) { ## GR5J
if ((identical(FUN_MOD, RunModel_GR5J) | identical(FUN_MOD, RunModel_CemaNeigeGR5J) |
identical(FUN_MOD, RunModel_GR5H) | identical(FUN_MOD, RunModel_CemaNeigeGR5H)) &
!all(is.na(IniStates$UH$UH1))) { ## GR5J or GR5H
stop(paste0("non convenient 'IniStates' for the chosen 'FUN_MOD'.' In 'IniStates', 'UH1' has to be a vector of NA for GR5J"))
}
if ((identical(FUN_MOD, RunModel_GR6J) | identical(FUN_MOD, RunModel_CemaNeigeGR6J)) & is.na(IniStates$Store$Exp)) { ## GR6J
stop(paste0("non convenient 'IniStates' for the chosen 'FUN_MOD'.' GR6J needs an exponential store value in 'IniStates'"))
}
if ((identical(FUN_MOD, RunModel_GR5H) | identical(FUN_MOD, RunModel_CemaNeigeGR5H)) & is.na(IniStates$Store$Int)) { ## GR5H interception
stop(paste0("non convenient 'IniStates' for the chosen 'FUN_MOD'.' GR5H (with interception store) needs an interception store value in 'IniStates'"))
}
if (!(identical(FUN_MOD, RunModel_GR6J) | identical(FUN_MOD, RunModel_CemaNeigeGR6J)) & !is.na(IniStates$Store$Exp)) { ## except GR6J
stop(paste0("non convenient 'IniStates' for the chosen 'FUN_MOD'.' No exponential store value needed in 'IniStates'"))
}
if (!(identical(FUN_MOD, RunModel_GR5H) | identical(FUN_MOD, RunModel_CemaNeigeGR5H)) & !is.na(IniStates$Store$Int)) { ## except GR5H interception
stop(paste0("non convenient 'IniStates' for the chosen 'FUN_MOD'.' No interception store value needed in 'IniStates'"))
}
# if (length(na.omit(unlist(IniStates))) != NState) {
# stop(paste0("the length of IniStates must be ", NState, " for the chosen FUN_MOD"))
# }
if ((!"CemaNeige" %in% ObjectClass & inherits(IniStates, "CemaNeige")) |
if ((!"CemaNeige" %in% ObjectClass & inherits(IniStates, "CemaNeige")) |
( "CemaNeige" %in% ObjectClass & !inherits(IniStates, "CemaNeige"))) {
stop("'FUN_MOD' and 'IniStates' must be both of class 'CemaNeige'")
}
if (!"CemaNeige" %in% ObjectClass & "hysteresis" %in% ObjectClass) {
stop("'IsHyst' cannot be TRUE for the chosen 'FUN_MOD'")
}
if (( "hysteresis" %in% ObjectClass & !inherits(IniStates, "hysteresis")) |
(!"hysteresis" %in% ObjectClass & inherits(IniStates, "hysteresis"))) {
stop("'IsHyst' and 'IniStates' are not consistent on the use of the hysteresis")
......@@ -252,7 +290,7 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
if (!"CemaNeige" %in% ObjectClass & any(is.na(IniStates$CemaNeigeLayers$Glocmax))) {
IniStates$CemaNeigeLayers$Glocmax <- NULL
}
IniStates$Store$Rest <- rep(NA, 4)
IniStates$Store$Rest <- rep(NA, 3)
IniStates <- unlist(IniStates)
IniStates[is.na(IniStates)] <- 0
if ("monthly" %in% ObjectClass) {
......@@ -261,34 +299,16 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
} else {
IniStates <- as.double(rep(0.0, NState))
}
##check_Outputs_Cal_and_Sim
##Outputs_all
Outputs_all <- NULL
if (identical(FUN_MOD,RunModel_GR4H)) {
Outputs_all <- c(Outputs_all, .FortranOutputs(GR = "GR4H")$GR)
}
if (identical(FUN_MOD,RunModel_GR4J) | identical(FUN_MOD,RunModel_CemaNeigeGR4J)) {
Outputs_all <- c(Outputs_all, .FortranOutputs(GR = "GR4J")$GR)
Outputs_all <- c("DatesR", unlist(FortranOutputs), "WarmUpQsim", "StateEnd", "Param")
if (FeatFUN_MOD$IsSD) {
Outputs_all <- c(Outputs_all, "QsimDown", "Qsim_m3")
}
if (identical(FUN_MOD,RunModel_GR5J) | identical(FUN_MOD,RunModel_CemaNeigeGR5J)) {
Outputs_all <- c(Outputs_all, .FortranOutputs(GR = "GR5J")$GR)
}
if (identical(FUN_MOD,RunModel_GR6J) | identical(FUN_MOD,RunModel_CemaNeigeGR6J)) {
Outputs_all <- c(Outputs_all, .FortranOutputs(GR = "GR6J")$GR)
}
if (identical(FUN_MOD,RunModel_GR2M)) {
Outputs_all <- c(Outputs_all, .FortranOutputs(GR = "GR2M")$GR)
}
if (identical(FUN_MOD,RunModel_GR1A)) {
Outputs_all <- c(Outputs_all, .FortranOutputs(GR = "GR1A")$GR)
}
if ("CemaNeige" %in% ObjectClass) {
Outputs_all <- c(Outputs_all, .FortranOutputs(GR = NULL, isCN = TRUE)$CN)
}
##check_Outputs_Sim
if (!is.vector(Outputs_Sim)) {
stop("'Outputs_Sim' must be a vector of characters")
......@@ -300,28 +320,26 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
stop("'Outputs_Sim' must not contain NA")
}
if ("all" %in% Outputs_Sim) {
Outputs_Sim <- c("DatesR", Outputs_all, "StateEnd")
Outputs_Sim <- Outputs_all
}
Test <- which(!Outputs_Sim %in% c("DatesR", Outputs_all, "StateEnd"))
Test <- which(!Outputs_Sim %in% Outputs_all)
if (length(Test) != 0) {
stop(paste0( "'Outputs_Sim' is incorrectly defined: ",
paste(Outputs_Sim[Test], collapse = ", "), " not found"))
}
Outputs_Sim <- Outputs_Sim[!duplicated(Outputs_Sim)]
##check_Outputs_Cal
if (is.null(Outputs_Cal)) {
if ("GR" %in% ObjectClass) {
Outputs_Cal <- c("Qsim")
}
if ("CemaNeige" %in% ObjectClass) {
Outputs_Cal <- c("Qsim", "Param")
if ("CemaNeige" %in% ObjectClass) {
Outputs_Cal <- c("PliqAndMelt", Outputs_Cal)
}
} else if ("CemaNeige" %in% ObjectClass) {
Outputs_Cal <- c("all")
}
if ("GR" %in% ObjectClass &
"CemaNeige" %in% ObjectClass) {
Outputs_Cal <- c("PliqAndMelt", "Qsim")
}
} else {
if (!is.vector(Outputs_Cal)) {
stop("'Outputs_Cal' must be a vector of characters")
......@@ -334,17 +352,16 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
}
}
if ("all" %in% Outputs_Cal) {
Outputs_Cal <- c("DatesR", Outputs_all, "StateEnd")
Outputs_Cal <- Outputs_all
}
Test <- which(!Outputs_Cal %in% c("DatesR", Outputs_all, "StateEnd"))
Test <- which(!Outputs_Cal %in% Outputs_all)
if (length(Test) != 0) {
stop(paste0("'Outputs_Cal' is incorrectly defined: ",
paste(Outputs_Cal[Test], collapse = ", "), " not found"))
}
Outputs_Cal <- unique(Outputs_Cal)
##check_MeanAnSolidPrecip
if ("CemaNeige" %in% ObjectClass & is.null(MeanAnSolidPrecip)) {
NLayers <- length(InputsModel$LayerPrecip)
......@@ -393,8 +410,8 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
stop(paste0("'MeanAnSolidPrecip' must be a numeric vector of length ", NLayers, ""))
}
}
##check_PliqAndMelt
if ("GR" %in% ObjectClass & "CemaNeige" %in% ObjectClass) {
if (!"PliqAndMelt" %in% Outputs_Cal & !"all" %in% Outputs_Cal) {
......@@ -416,8 +433,8 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
Outputs_Sim <- c(Outputs_Sim, "PliqAndMelt")
}
}
##check_Qsim
if ("GR" %in% ObjectClass) {
if (!"Qsim" %in% Outputs_Cal & !"all" %in% Outputs_Cal) {
......@@ -439,22 +456,27 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
Outputs_Sim <- c(Outputs_Sim, "Qsim")
}
}
##Create_RunOptions
RunOptions <- list(IndPeriod_WarmUp = IndPeriod_WarmUp,
IndPeriod_Run = IndPeriod_Run,
IniStates = IniStates,
IniResLevels = IniResLevels,
Outputs_Cal = Outputs_Cal,
Outputs_Sim = Outputs_Sim)
Outputs_Sim = Outputs_Sim,
FortranOutputs = FortranOutputs,
FeatFUN_MOD = FeatFUN_MOD)
if ("CemaNeige" %in% ObjectClass) {
RunOptions <- c(RunOptions, list(MeanAnSolidPrecip = MeanAnSolidPrecip))
}
if ("interception" %in% ObjectClass) {
RunOptions <- c(RunOptions, list(Imax = Imax))
}
class(RunOptions) <- c("RunOptions", ObjectClass)
return(RunOptions)
}
R/DataAltiExtrapolation_Valery.R
View file @ 4bccfee2
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