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MS63 Applications of Ensemble Data Assimilation Methods to Climate Processes – JDAS Speaker Schedule
Tuesday, May 19, 2015 @ 01:30 am EDT — Tuesday, May 19, 2015 @ 03:30 am EDT
Snowbird, UT 84092, USA
1:30 PM - 3:30 PM
Room: Wasatch A

Data assimilation methods seek to improve estimates from a predictive model by combining them with observed data. Most realistic applications, such as those used in climate modeling, involve an underlying dynamical system which is nonlinear. Many ensemble methods have been designed to handle this nonlinearity, and additionally, often provide an estimate of the uncertainty in the prediction via the ensemble spread. This session will include applications of ensemble data assimilation methods to several aspects of the climate, including oceans, sea ice, and the ionosphere.

Organizer: Laura Slivinski
Woods Hole Oceanographic Institute, USA

1:30-1:55 An Application of Lagrangian Data Assimilation to Katama Bay, Ma
Laura Slivinski, Larry Pratt, and Irina Rypina, Woods Hole Oceanographic Institute, USA

2:00-2:25 Ensemble Inflation by Shadowing Techniques
Thomas Bellsky, University of Maine, USA; Lewis Mitchell, University of Adelaide, Australia

2:30-2:55 Ionospheric Weather Forecasting Using the Letkf Scheme
Juan Durazo, Arizona State University, USA

3:00-3:25 Predicting Flow Reversals in a Cfd Simulated Thermosyphon Using Data Assimilation
Andrew Reagan, University of Vermont, USA
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