Statistical Methods for Meteorology and Climate Change

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January 12-14, 2011
Organizers and scientific committee
Jean-François Angers (Montréal), Anne-Catherine Favre (Laval), Reinhard Furrer (Zürich), Philippe Naveau (Laboratoire des sciences du climat et de l'environnement, France), Doug Nychka (NCAR), Luc Perreault (Institut de recherche d'Hydro-Québec), Richard L. Smith (North Carolina), Claudia Tebaldi (UBC), Han von Storch (Hamburg), Francis Zwiers (Environnement Canada)

Climate change is already happening and represents one of the greatest environmental, social and economic challenges facing the planet. Statistical methods and models play a key role in the study of climate change. Important advances have been made in the development and application of both frequentist and Bayesian statistical approaches. However recent developments concerning both, data collection and hypotheses for investigation, require innovative approaches. This workshop aims to bring statisticians and climatologists together to talk about new statistical methodologies devoted to the study of climate change. The themes that will be addressed during the workshop include assessment of uncertainty in climate change projections, spatial patterns of climate, climate reconstruction, climate extremes, climate trend assessment, downscaling, dataassimilation and stochastic weather generators.

According to International Panel on Climate Change (2007), "Observed warming over several decades has been linked to changes in the large-scale hydrological cycle such as: increasing atmospheric water vapour content; changing precipitation patterns, intensity and extremes; reduced snow cover and widespread melting of ice; and changes in soil moisture and runoff". A session of the workshop will be devoted to statistical methods for climate change in hydrology.