Prints a screen summary of a WUX
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String vector specifying the parameters to be evaluated. Default is
Boolean. Should the runs of the same GCM be averaged out? This is recommended, as same GCMs tend to behave very similarly when run with different initial conditions and would thus lead to biased statistics when regarding as independent. Only available for GCM analysis.
Further optional arguments. Not active now.
summary.wux.df gives an overview of model frequenzy and calculates
statistics for each meteorological parameter within each season in
each subregion for all emission scenarios.
print.summaryWuxdf prints the result to the screen.
summaryWuxdf object, which is a list, but will be
printed in a special way.
The list has two elements, namely
parms.stats. Both are lists again.
all categorical statistics (climate model counts, emmission scenarios,
rcm-gcm crosstables, ...).
parms.stats is a list with
statistics of continuous climate change signals (mean, standard
deviation, coeficent of variation and quantiles) split by season, emission
scenario, meteorological parameters and subregions.
Thomas Mendlik email@example.com
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## ENSEMBLES data summary data(ensembles) summary(ensembles) ## CMIP3 data summary data(cmip3_2100) summary(cmip3_2100, average.over.gcm.runs = TRUE) # Average GCMs with different # initial conditions ## structure of summaryWuxdf object data(ensembles_gcms) ensembles.gcms.summary <- summary(ensembles_gcms) ensembles.gcms.summary # summary of 8 GCMs str(ensembles.gcms.summary)