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Chaos & Complex Systems Seminar
A conditional Gaussian framework for assimilating and predicting complex nonlinear turbulent dynamical systems
Date: Tuesday, January 28th
Time: 12:05 pm - 1:00 pm
Place: 4274 Chamberlin (refreshments will be served)
Speaker: Nan Chen, UW Department of Mathematics
Abstract: A conditional Gaussian nonlinear and non-Gaussian framework is developed and is applied to study data assimilation, uncertainty quantification and prediction of complex nonlinear turbulent dynamical systems. The talk will contain the following topics: recovering turbulent ocean flows, predicting non-Gaussian atmosphere phenomena including extreme events, solving the time evolution of high-dimensional probability density function, parameter estimation and recovering the hidden states in complex systems.
Host: Clint Sprott
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