Journal Article

Robustness of Future Changes in Local Precipitation Extremes

Buonomo, Erasmo, Jones, Richard G., Kendon, Elizabeth J., Rowell, David P.

2008

Overview

Reliable projections of future changes in local precipitation extremes are essential for informing policy decisions regarding mitigation and adaptation to climate change. In this paper, the extent to which the natural variability of the climate affects one’s ability to project the anthropogenically forced component of change in daily precipitation extremes across Europe is examined. A three-member ensemble of the Hadley Centre Regional Climate Model (HadRM3H) is used and a statistical framework is applied to estimate the uncertainty due to the full spectrum of climate variability. In particular, the results and understanding presented here suggest that annual to multidecadal natural variability may contribute significant uncertainty. For this ensemble projection, extreme precipitation changes at the grid-box level are found to be discernible above climate noise over much of northern and central Europe in winter, and parts of northern and southern Europe in summer. The ability to quantify the change to a reasonable level of accuracy is largely limited to regions in northern Europe. In general, where climate noise has a significant component varying on decadal time scales, single 30-yr climate change projections are insufficient to infer changes in the extreme tail of the underlying precipitation distribution. In this context, the need for ensembles of integrations is demonstrated and the relative effectiveness of spatial pooling and averaging for generating robust signals of extreme precipitation change is also explored. The key conclusions are expected to apply more generally to other models and forcing scenarios.

• Publisher: American Meteorological Society
• Subject: Anthropogenic factors / Climate / Climate adaptation / Climate change / Climate models / Climate variability / Climatic zones / Climatology. Bioclimatology. Climate change / Earth, ocean, space / Exact sciences and technology / External geophysics / Extreme weather / General circulation models / Global climate models / Local precipitation / Meteorology / Mineral precipitation / Noise / Precipitation / Signal noise / Supernova remnants / T tests / Water in the atmosphere (humidity, clouds, evaporation, precipitation)