Christel Prudhomme

TL;DR: This study demonstrates that different representations of terrestrial water-cycle processes in GIMs are responsible for a much larger uncertainty in the response of hydrological drought to climate change than previously thought.

TL;DR: In this paper, the authors examined the issues of downscaling the results from global climate models (GCMs) to a scale relevant for hydrological impact studies and concluded that if the next generation of GCMs produce more reliable rainfall variance estimates, then more appropriate ways of deriving rainfall scenarios could be developed using weather generators rather than empirical methods.

TL;DR: In this paper, the authors present a framework for undertaking climate change impact studies, which can be used for testing the robustness of precautionary climate change allowances used in engineering design, and demonstrate the approach is demonstrated via an assessment of the UK Government's 20% allowance for climate change applied in two contrasting catchments.

TL;DR: In this paper, the authors demonstrated the existence of bias in GCM-derived precipitation series, downscaled using either a statistical technique (here the Statistical Downscaling Model) or dynamical method (here high resolution Regional Climate Model HadRM3) propagating to river flow estimated by a lumped hydrological model.

TL;DR: In this paper, the UK Hadley Centre's global climate model was run at a spatial scale of 2·5 by 3·75° (latitude and longitude) grid squares to simulate the global climate according to scenarios of greenhouse gas concentration emission.