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Robert L. Wilby

Researcher at Loughborough University

Publications -  294
Citations -  28508

Robert L. Wilby is an academic researcher from Loughborough University. The author has contributed to research in topics: Climate change & Downscaling. The author has an hindex of 76, co-authored 276 publications receiving 25316 citations. Previous affiliations of Robert L. Wilby include Environment Agency & University of Derby.

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Downscaling general circulation model output: a review of methods and limitations

TL;DR: In this article, general circulation models (GCMs) suggest that rising concentrations of greenhouse gases may have significant consequences for the global climate, but the extent to which local (local) GCMs are able to cope with these changes is not clear.
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sdsm — a decision support tool for the assessment of regional climate change impacts

TL;DR: Statistical DownScaling Model (sdsm) facilitates the rapid development of multiple, low-cost, single-site scenarios of daily surface weather variables under current and future regional climate forcing.
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A review of the potential impacts of climate change on surface water quality

TL;DR: In this paper, the authors reviewed the impacts of climate change on UK surface water quality through the lens of UK surface waters and concluded that increased water temperatures will affect chemical reaction kinetics and, combined with degradation in quality, freshwater ecological status.

Guidelines for Use of Climate Scenarios Developed from Statistical Downscaling Methods

TL;DR: This article reviewed statistical methods of estimating point climate from coarse-scale climate projections, and provided guidance on the use of point climate data for many climate impact applications, especially for regions of complex topography, coastal or island locations, and in highly heterogeneous land cover.
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The weather generation game: a review of stochastic weather models

TL;DR: The historical development of statistical weather models, from simple analyses of runs of consecutive rainy and dry days at single sites, through to multisite models of daily precipitation, can be found in this article.