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A Multi‐Scale Probabilistic Machine Learning Model for Balanced and Unbalanced Sea Surface Height Decomposition

Abstract Sea surface height (SSH) reflects a superposition of balanced motions (BM) and unbalanced motions (UBM), which play distinct roles in ocean dynamics and energetics. The Surface Water and Ocean Topography (SWOT) satellite provides two‐dimensional SSH maps at spatial resolutions where BM and...

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Bibliografiske detaljer
Principais autores: Yue Wang, Jingwen Lyu, Tatsu Monkman, Spencer Jones, Christian Pedersen, Dhruv Balwada
Format: Artigo
Sprog:Inglês
Udgivet: Wiley 2026-06-01
Serier:Journal of Geophysical Research: Machine Learning and Computation
Fag:
Online adgang:https://doi.org/10.1029/2025JH001186
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