wux-package: Wegener Center Climate Uncertainty Explorer
In wux: Wegener Center Climate Uncertainty Explorer

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 multi-model 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 so-called 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 two-way linear data reconstruction, in order to fill the missing values of a simulation matrix as e.g. the GCM-RCM 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 multi-model 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 RCM-GCM 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 Leave-one-out cross-calculation (method = "IterativeCC").