Topic: Mathematics of Data Assimilation

Friday, March 12, 2021 from 15-17h UTC

Organizers and Conveners: Lars Nerger, Steven Fletcher, Javier Amezcua

Program / Abstracts (PDF Download)

Presentations:

• Mitigating Sampling Error using Optimal Localisation in Ensemble Data Assimilation
  Rebecca Atkinson, Sue Hughes, Jonathan Flowerdew
• Ensemble-based data assimilation via nonlinear couplings
  Ricardo Baptista, Youssef Marzouk
• Continuum Covariance Propagation for Understanding Variance Loss in Advective Systems
  Shay Gilpin, Tomoko Matsuo, Stephen E. Cohn
• A subspace iterative ensemble smoother for solving DA and inverse problems
  Geir Evensen
• High-dimensional Data Assimilation using Regularization and Iterative Resampling with the Local Particle Filter
  Jonathan Poterjoy

Note: Presentations are a selection from the abstracts that have been submitted for ISDA-2020.

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