An Efficient and Robust Estimation of Spatio‐Temporally Distributed Parameters in Dynamic Models by an Ensemble Kalman Filter

An Efficient and Robust Estimation of Spatio‐Temporally Distributed Parameters in Dynamic Models by an Ensemble Kalman Filter

Abstract The accuracy of Earth system models is compromised by unknown and/or unresolved dynamics, making the quantification of systematic model errors essential. While a model parameter estimation, which allows parameters to change spatio‐temporally, shows promise in quantifying and mitigating syst...

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Bibliographic Details
Main Authors: Yohei Sawada, Le Duc
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2024-02-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
parameter estimation
data assimilation
ensemble Kalman filter
Online Access:https://doi.org/10.1029/2023MS003821

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