Environmetrics Special Issue: Advances in Statistical Methods for Climate Analysis

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  • Date: 04 Sep 2012

There is a long history in the atmospheric and ocean sciences of using statistical methods for diagnostic and exploratory analysis, weather modification experimental design and analysis, optimal interpolation, data assimilation, and the analysis of climate observations and climate model output. Given the recent societal concerns regarding potential climate change and its impacts, there has been an increase in the need for statistical scientists to develop new methods that are tailored to help with the understanding of climate variability in the presence of uncertainty.

thumbnail image: Environmetrics Special Issue: Advances in Statistical Methods for Climate Analysis

For this Environmetrics Special Issue on Advances in Statistical Methods for Climate Analysis, contributions have been sought from many of the leading researchers at the interface of statistics and climate science.

Amongst other topics, the issue includes an overview by Stephenson et al., from a recent multidisciplinary conference that outlined many important issues related to defining climate prediction from a probabilistic perspective. Chandler et al. also present an overview paper outlining some critical issues related to making data products broadly available in order to facilitate comparison and verification of results.

The visualisation of climate data is also covered by Wickham et al. in their introduction of glyph maps, which can greatly facilitate the visual exploration of multivariate spatio-temporal climate data and climate model output. Li and Smerdon have also developed metrics for the comparison of spatial fields, particularly those associated with paleoclimate reconstructions.

Furthermore, Berrocal et al. demonstrate methodologies that enable climate model assessment by both downscaling and upscaling.

For a full list of papers included in the Special Issue, please click here.

The Special Issue Editors, Peter Guttorp, Stephan Sain, and Christopher Wikle, feel that the papers included in the issue present a snapshot of the types of research being performed at the interface of climate and statistics, and while not being exhaustive and conclusive, they hope that they illustrate the breadth and depth of the research being carried out in this area.

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