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)

Abstracts (PDF - Download)


  • 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.