Ensemble filtering with displacement errors

Speaker: 
Michael Ying

Affiliation: 
NCAR, Boulder, Colorado

Seminar Date: 
12. February 2020 - 13:00 - 14:00

An outstanding issue for multiscale weather prediction is the choice of data assimilation methods. Since small scale features rapid error growth that gives rise to nonlinearity, data assimilation methods based on linearization, such as the ensemble Kalman filter (EnKF), performs suboptimally. Position error of convective clouds among ensemble members is one of the common causes of nonlinearity and has been a major challenge for data assimilation. Previous studies have made some progress in developing nonlinear optimization methods to reduce position errors.

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The Angola-Benguela Upwelling system: interannual and decadal variability (two talks)

Speaker: 
Marie-Lou Bachelery and Folly Serge Tomety

Affiliation: 
University of Cape Town

Seminar Date: 
26. November 2019 - 13:00 - 14:00

Title 1: Impacts and characteristics of the interannual Coastal Trapped Waves in the Angola-Benguela Upwelling System

Marie-Lou Bachelery, Serena Illig, and Mathieu Rouault

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