Abstract

The workshop aims at bringing together weather and climate scientists, on one hand, and statisticians, on the other, specialising in the use of mathematical and statistical techniques for inference in stochastic processes, random dynamical systems and time series modelling. Principal goals are exchange of ideas and information between the two groups on kinds of problems and challenges they face in their research, and techniques they employ for their solution. More specifically, the emphasis of the workshop is on a model- and data-driven, statistical approach to climate and weather science, and the use of modern statistical techniques for extraction of model structures and features from the noisy and incomplete data, to be used subsequently for explanatory or predictive purposes.