Package: QUALYPSO 3.2

QUALYPSO: Partitioning Uncertainty Components of an Incomplete Ensemble of Climate Projections

These functions apply an analysis of variance to incomplete ensembles of climate projections. It provides estimates of climate change responses of all simulation chains and of all uncertainty variables. It has been applied to different ensembles of projections simulated to study the impact of climate change: for climate indicators in Evin et al. (2019) <doi:10.1175/JCLI-D-18-0606.1>; seasonal precipitation and temperature in Evin, Somot and Hingray (2021) <doi:10.5194/esd-12-1543-2021>; hydrological variables in Evin et al. (2026) <doi:10.5194/hess-30-1023-2026>; photovoltaic energy in Bichet et al. (2019) <doi:10.1088/1748-9326/ab500a>.

Authors:Guillaume Evin [aut, cre]

QUALYPSO_3.2.tar.gz
QUALYPSO_3.2.zip(r-4.7)QUALYPSO_3.2.zip(r-4.6)QUALYPSO_3.2.zip(r-4.5)
QUALYPSO_3.2.tgz(r-4.6-any)QUALYPSO_3.2.tgz(r-4.5-any)
QUALYPSO_3.2.tar.gz(r-4.7-any)QUALYPSO_3.2.tar.gz(r-4.6-any)
QUALYPSO_3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
QUALYPSO/json (API)

# Install 'QUALYPSO' in R:
install.packages('QUALYPSO', repos = c('https://guillaumeevin.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/guillaumeevin/qualypso/issues

Datasets:
  • scen_DJFTas - Data.frame indicating which GCMs and RCMs have been used for the 20 climate projections of mean winter temperature over CEU
  • scen_SWE - Data.frame indicating which GCM, RCM and RCP scenarios have been used to produce the 18 projections of SWE maxima.
  • X_DJFTas_WL - Annual warming levels simulated by different CMIP5 GCMs
  • X_SWE_WL - Annual warming levels simulated by different CMIP5 GCMs corresponding to the 18 projections Y_SWE
  • Y_DJFTas - Mean winter temperature over CEU with 20 GCM/RCM combinations for 1971-2099
  • Y_SWE - Annual maxima of snow water equivalent for Loire-Atlantique, France, a NUTS-3 region located at a low mean elevation (0 m) and has a suboceanic climate with quite mild and rainy winters. SWE maxima are provided for 18 projections obtained with 9 different combinations of GCMs and RCMs and two emission scenarios (RCP4.5 and RCP8.5).

On CRAN:

Conda:

4.23 score 4 stars 28 scripts 534 downloads 10 exports 15 dependencies

Last updated from:be2e0d09bd. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK129
source / vignettesOK165
linux-release-x86_64OK134
macos-release-arm64OK85
macos-oldrel-arm64OK129
windows-develOK105
windows-releaseOK105
windows-oldrelOK100
wasm-releaseOK96

Exports:Bayesian.ANOVAfit.climate.responselm.ANOVAplotQUALYPSOclimateChangeResponseplotQUALYPSOclimateResponseplotQUALYPSOeffectplotQUALYPSOgrandmeanplotQUALYPSOinternalvarplotQUALYPSOTotalVarianceDecompositionQUALYPSO

Dependencies:expmgamlssgamlss.datagamlss.distlatticeMASSMatrixnlmeRcppRcppArmadilloRcppParallelRfaststatmodsurvivalzigg

Readme and manuals

Help Manual

Help pageTopics
Bayesian.ANOVABayesian.ANOVA
Bayesian.ANOVA.iBayesian.ANOVA.i
checkTypeandDimensioncheckTypeandDimension
fit.climate.responsefit.climate.response
get.Qmatget.Qmat
get.Qstar.matget.Qstar.mat
lm.ANOVAlm.ANOVA
plotQUALYPSOclimateChangeResponseplotQUALYPSOclimateChangeResponse
plotQUALYPSOclimateResponseplotQUALYPSOclimateResponse
plotQUALYPSOeffectplotQUALYPSOeffect
plotQUALYPSOgrandmeanplotQUALYPSOgrandmean
plotQUALYPSOinternalvarplotQUALYPSOinternalvar
plotQUALYPSOTotalVarianceDecompositionplotQUALYPSOTotalVarianceDecomposition
QUALYPSOQUALYPSO
QUALYPSO.check.optionQUALYPSO.check.option
QUALYPSO.process.scenarioQUALYPSO.process.scenario
data.frame indicating which GCMs and RCMs have been used for the 20 climate projections of mean winter temperature over CEUscen_DJFTas
data.frame indicating which GCM, RCM and RCP scenarios have been used to produce the 18 projections of SWE maxima.scen_SWE
Annual warming levels simulated by different CMIP5 GCMsX_DJFTas_WL
Annual warming levels simulated by different CMIP5 GCMs corresponding to the 18 projections Y_SWEX_SWE_WL
Mean winter temperature over CEU with 20 GCM/RCM combinations for 1971-2099Y_DJFTas
Annual maxima of snow water equivalent for Loire-Atlantique, France, a NUTS-3 region located at a low mean elevation (0 m) and has a suboceanic climate with quite mild and rainy winters. SWE maxima are provided for 18 projections obtained with 9 different combinations of GCMs and RCMs and two emission scenarios (RCP4.5 and RCP8.5).Y_SWE