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An Ensemble Information Filter: Retrieving Markov-information from the SPDE discretisation by Lunde, Berent Ånund Strømnes is a scholarly article available to read on EtoBox.

What is An Ensemble Information Filter: Retrieving Markov-information from the SPDE discretisation about?

Ensemble-based Data Assimilation faces significant challenges in high-dimensional systems due to spurious correlations and ensemble collapse. These issues arise from estimating dense dependencies with limited ensemble sizes. This paper introduces the Ensemble Information Filter, which encodes Markov properties directly into the statistical model's precision matrix, leveraging structure from SPDE dynamics to constrain information to propagate locally. EnIF eliminates the need for ad-hoc localisation, improving statistical consistency and scalability. Numerical experiments demonstrate its advantages in filtering, smoothing, and parameter estimation, making EnIF a robust and efficient solution for large-scale data assimilation problems.

Author

Lunde, Berent Ånund Strømnes

Published

2025

Language

EN