Ensemble-based 4DVarNet uncertainty quantification for the reconstruction of sea surface height dynamics

Uncertainty quantification (UQ) plays a crucial role in data assimilation (DA) since it impacts both the quality of the reconstruction and near-future forecast. However, traditional UQ approaches are often limited in their ability to handle complex datasets and may have a large computational cost. I...

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Bibliographic Details

Published in:	Environmental Data Science
Main Authors:	Maxime Beauchamp, Quentin Febvre, Ronan Fablet
Format:	Article
Language:	English
Published:	Cambridge University Press 2023-01-01
Subjects:	data assimilation end-to-end learning ensemble-based method simulation uncertainty quantification
Online Access:	https://www.cambridge.org/core/product/identifier/S2634460223000195/type/journal_article