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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