BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Physics-TWaP
BEGIN:VEVENT
SEQUENCE:0
UID:UW-Physics-Event-5296
DTSTART:20200128T180500Z
DTEND:20200128T190000Z
DTSTAMP:20201022T215910Z
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.

\n
URL:https://www.physics.wisc.edu/twap/?id=5296
END:VEVENT
END:VCALENDAR