A conditional Gaussian framework for assimilating and predicting complex nonlinear turbulent dynamical systems

Tuesday, January 28th, 2020
Speaker: Nan Chen UW Department of Mathematics
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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Room and Building: 
4274 Chamberlin (refreshments will be served)
Time:
12:05 pm to 1:00 pm

 

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