Partitioning Uncertainty Components of an Incomplete Ensemble of Climate Projections

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Documentation for package ‘QUALYPSO’ version 3.2

Help Pages

Bayesian_ANOVA Perform ANOVA using a Bayesian approach
Bayesian_ANOVA_i Perform ANOVA using a Bayesian approach for a future time i
check_arguments Check arguments provided to QUALYPSO
check_option Check validity of options provided in listOption
fit_ClimateResponse Fit the climate response for each simulation chain
get_Qmat Provide the matrix Q derived from Qstar
get_Qstar_mat Provide Qstar matrix containing Helmert contrasts
lm_ANOVA Perform ANOVA using a linear model
plotQUALYPSO_CCR Plot climate change responses for all simulation chains.
plotQUALYPSO_CR Plot the climate response for one simulation chain
plotQUALYPSO_effect Plot estimated ANOVA effects for one factor
plotQUALYPSO_FV_CCRV_IV plotQUALYPSO_FV_CCRV_IV
plotQUALYPSO_IV Plot deviations from the climate change response and an interval representing the magnitude of the estimated internal variability
plotQUALYPSO_M Plot the estimated grand mean
process_scen Process scen
QUALYPSO Main function
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).