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

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 systematic mo...

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Bibliographic Details

Published in:	Journal of advances in modeling earth systems Vol. 16; no. 2
Main Authors:	Sawada, Yohei, Duc, Le
Format:	Journal Article
Language:	English
Published:	Washington John Wiley & Sons, Inc 01.02.2024 American Geophysical Union (AGU)
Subjects:	Data assimilation Dynamic models ensemble Kalman filter General circulation models Kalman filters Optimization Parameter estimation Parameters Weather forecasting
ISSN:	1942-2466, 1942-2466
Online Access:	Get full text
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