Description Details I. Reading, processing, and writing of climate model ouput II. Descriptive analysis of climate change signals III. Analysis of variance components IV. Reconstruction tools Author(s)
The WUX package is a toolbox to analyze climate change uncertainties projected by numerical model simulations.
The package provides methods to calculate and interpret climate change
signals and time series from entire multimodel ensembles. Climate
model output in binary NetCDF format is read in and aggregated to a
data.frame
for statistical analysis with tools provided by the R
environment. The NetCDF format is not restricted to any specific type
of climate model. Global circulation models (GCMs), as the CMIP5 or
CMIP3 simulations, can be read in the same way as Regional Climate
Models (RCMs), as e.g. the CORDEX or ENSEMBLES simulations.
This package can currently perform following actions:
Reading output of climate model simulations from NetCDF
files, processing it, and writing it to a data.frame
(the
socalled WUX data frame).
Various plotting options and summarizing utilities for a descriptive analysis of the projected climate change signals.
Performing an Analysis of Variance (ANOVA) in order to estimate variance components.
Performing a simple twoway linear data reconstruction, in order to fill the missing values of a simulation matrix as e.g. the GCMRCM simulation matrix of ENSEMBLES.
Functions:  
models2wux  Reads NetCDF climate model output,
processes it, and writes the results to a data.frame which
is the backbone of all further WUX analyses 
CMIP5fromESGF  Automated downloading of the CMIP5 multimodel climate ensemble 
read.wux.table  Reads in wux csv file obtained from
models2wux from harddisk and creates a data frame from
it (same data.frame as models2wux returns interactively) 
AverageWuxDataFrame  WUX data frame averaging function 
Datasets:  
userinput_CMIP5_changesignal , 

userinput_CMIP5_timeseries , 

modelinput_test  Example config
files for models2wux

ensembles , ensembles_gcms , 

cmip3_2050 , cmip3_2100 , 

cmip5_2050 , cmip5_2100 , 

CMIP5_example_changesignal , 

CMIP5_example_timeseries , 

alpinesummer
 Example data frames
calculatated by models2wux 
Descriptive analysis of multiple climate model simulations.
summary.wux.df  Summary statistics of the WUX
data frame (wux.df class) 
plot.wux.df  Scatter Plot 
hist.wux.df  Density Plot 
plotAnnualCycle  Annual Cycle Plot 
Extracts variance components of multiple climate model simulations using an ANOVA.
aovWux  ANOVA for WUX data.frame 
plot.wux.aov  Barplot for aovWux
output 
Tools for filling missing values of an unbalanced climate model
simulation matrix (e.g. missing RCMGCM combinations of ENSEMBLES) in
order to avoid biased ensemble estimates. Currently, the underlying
linear reconstrtuction technique is based on
solving the linear equation system (LES) of the ANOVA design matrix
(method = "LES"
), or iterative linear
reconstruction based on an ANOVA (method = "Iterative"
) or
Leaveoneout
crosscalculation (method = "IterativeCC"
).
reconstruct  Linear reconstruction of missing RCMGCM combinations 
Thomas Mendlik [email protected], Georg Heinrich [email protected], Andreas Gobiet [email protected] and Armin Leuprecht [email protected]
Maintainer: Thomas Mendlik [email protected]
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