HR: 09:00h
AN: H31J-05 INVITED     [Abstracts]
TI: Observing extreme events in incomplete state spaces with application to raifall estimation from satellite images
AU: * Tsonis, A
EM: aatsonis@uwm.edu
AF: Anastasios Tsonis, Department of Mathematical Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53201-0413
AB: Reconstructing the dynamics of nonlinear systems from observations requires the complete knowledge of its state space. In most cases this is either impossible or at best very difficult. Here using a toy model we investigate the possibility of deriving useful insights about the variability of the system from only part of the complete state vector. We show that while some of the details of the variability might be lost, other details, especially extreme events, are successfully recovered. We then apply these ideas to the problem of rainfall estimation from satellite imagery. We show that, while reducing the number of observables reduces the correlation between actual and inferred precipitation amounts, good estimates for extreme events are still recoverable.
DE: 1817 Extreme events
DE: 1854 Precipitation (3354)
SC: Hydrology [H]
MN: Fall Meeting 2005