Código QR (código de barras bidimensional)

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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Principais autores: Maxime Beauchamp, Quentin Febvre, Ronan Fablet
Formato: Artigo
Idioma:Inglês
Publicado em: Cambridge University Press 2023-01-01
coleção:Environmental Data Science
Assuntos:
data assimilation
end-to-end learning
ensemble-based method
simulation
uncertainty quantification
Acesso em linha:https://www.cambridge.org/core/product/identifier/S2634460223000195/type/journal_article
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