BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:0
UID:UW-Physics-Event-5296
DTSTART:20200128T180500Z
DTEND:20200128T190000Z
DTSTAMP:20260415T040909Z
LAST-MODIFIED:20200116T000659Z
LOCATION:4274 Chamberlin (refreshments will be served)
SUMMARY:A conditional Gaussian framework for assimilating and predicti
 ng complex nonlinear turbulent dynamical systems\, Chaos & Complex Sys
 tems Seminar\, Nan Chen\, UW Department of Mathematics
DESCRIPTION:A conditional Gaussian nonlinear and non-Gaussian framewor
 k is developed and is applied to study data assimilation\, uncertainty
  quantification and prediction of complex nonlinear turbulent dynamica
 l systems. The talk will contain the following topics: recovering turb
 ulent ocean flows\, predicting non-Gaussian atmosphere phenomena inclu
 ding extreme events\, solving the time evolution of high-dimensional p
 robability density function\, parameter estimation and recovering the 
 hidden states in complex systems.<br>
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URL:https://www.physics.wisc.edu/events/?id=5296
END:VEVENT
END:VCALENDAR