Statistical downscaling of extreme precipitation and temperature – a systematic and rigorous inter- comparison of methods T. Schmith (1), C.M. Goodess (2) and the STARDEX team 1. Danish Meteorological Institute, Copenhagen Ø, Denmark 2. Climatic Research Unit, University of East Anglia, Norwich, UK http://www.cru.uea.ac.uk/projects/stardex/
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Statistical downscaling of extreme precipitation and temperature – a systematic and rigorous inter-comparison of methods T. Schmith (1), C.M. Goodess (2)
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Statistical downscaling of extreme precipitation and temperature – a systematic and rigorous inter-comparison of methods
T. Schmith (1), C.M. Goodess (2) and the STARDEX team1. Danish Meteorological Institute, Copenhagen Ø, Denmark
2. Climatic Research Unit, University of East Anglia, Norwich, UK
http://www.cru.uea.ac.uk/projects/stardex/
This co-operative cluster of projects brings together European expertise in the fields of climate modelling, regional downscaling, statistics, and impacts analysis to explore future changes in extreme events in response to global warming.•PRUDENCE will provide high-resolution climate change scenarios for 2071-2100 for Europe using regional climate models. PRUDENCE project summary•STARDEX will provide improved downscaling methodologies for the construction of scenarios of changes in the frequency and intensity of extreme events. STARDEX project summary•MICE uses information from climate models to explore future changes in extreme events across Europe in response to global warming. MICE project summary Last modified:16 August 2002 MICE STARDEX PRUDENCEProject Web Sites:
Dynamical vs. statistical downscaling: the STARDEX objectives
• To rigorously & systematically inter-compare & evaluate statistical & dynamical downscaling methods for the reconstruction of observed extremes & the construction of scenarios of extremes for selected European regions.
• To identify the more robust downscaling techniques & to apply them to provide reliable & plausible future scenarios of temperature & precipitation-based extremes for selected European regions.