Topic: Data Assimilation Methods
Friday, January 8, 2021 from 15-17h UTC
Conveners: Javier Amezcua, Steven Fletcher, Lars Nerger
Link to session recordings (RIKEN / Japan)
Presentations:
- Feature Data Assimilation - Theory, Algorithms and Examples
Roland Potthast, Christian Welzbacher - Space-Time Multigrid for the Maximum Likelihood Ensemble Filter Method
Xinfeng Gao, Milija Zupanski, Jacobs B. Schroder, Robert D. Falgout - A method for representing spatially correlated observation errors for wind data
Oliver Guillet, Yann Michel, Mathilde Moureaux - Efficient nonlinear data assimilation using synchronization in a particle filter
Flavia Pinheiro, Peter Jan van Leeuwen - Understanding the differences between EnVar and LETKF solvers in an operational NWP setting
Jeff Whitaker, Anna Shlyaeva
Note: Presentations are a selection from the abstracts that have been submitted for ISDA-2020.