A significant body of empirical work has shown that geophysical processes exhibit different scaling regimes in state, time and space. Also, a number of studies examined such scaling behaviors and related them to the mechanisms of the underlying physical processes. By linking physics and scaling stochastics, such studies lead to the development of parsimonious representations that accurately reproduce the distribution of geophysical extremes over a wide range of scales and states. The combination of physical understanding and the use of parsimonious parameterizations made the developed models essential tools for risk analysis applications.
The session aims at discussing the concept of scaling from a physical, stochastic, and application point of view, as well as at investigating scaling representations for the distribution of geophysical extremes.
Funding provided by CEIGRAM (Research Centre for the Management of Agricultural and Environmental Risks)is greatly appreciated.