wux (version 2.2-1)

wux-package: Wegener Center Climate Uncertainty Explorer

Description

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.

I. Reading, processing, and writing of climate model ouput

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

II. Descriptive analysis of climate change signals

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

III. Analysis of variance components

Extracts variance components of multiple climate model simulations using an ANOVA.

aovWux

ANOVA for WUX data.frame

plot.wux.aov

Barplot for aovWux output

IV. Reconstruction tools

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").

reconstruct

Linear reconstruction of missing RCM-GCM combinations

Details

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.