From climate simulations to statistics - Introducing the wux package

Austrian Journal of Statistics

article

Thomas Mendlik¹  Georg Heinrich¹  Andreas Gobiet²  Armin Leuprecht¹ 

[1] Wegener Center;ZAMG

关键词: climate research;    climate uncertainty;    multi-model ensembles;    data processing;    R;   

DOI  :  10.17713/ajs.v45i1.98

学科分类：医学（综合）

来源: Austrian Statistical Society

【 摘 要 】

We present the R package wux, a toolbox to analyze projected climate change signals by numerical climate model simulations and the associated uncertainties. The focus of this package is to automatically process big amounts of climate model data from multi-model ensembles in a user-friendly and flexible way. For this purpose, climate model output in common binary format (NetCDF) is read in and stored in a data frame, after first being aggregated to a desired temporal resolution and then being averaged over spatial domains of interest. The data processing can be performed for any number of meteorological parameters at one go, which allows multivariate statistical analysis of the climate model ensemble.

【 授权许可】

CC BY