@misc{70561, type = "Article", year = "2020", title = "Reconstructing Upper Ocean Vertical Velocity Field from Sea Surface Height in the Presence of Unbalanced Motion", journal = "Journal Of Physical Oceanography", editor = "American Meteorological Society", volume = "50", number = "1", pages = "55-79", author = "Qiu Bo, Chen Shuiming, Klein Patrice, Torres Hector, Wang Jinbo, Fu Lee-Lueng, Menemenlis Dimitris", url = "https://archimer.ifremer.fr/doc/00593/70561/", organization = "", address = "USA, FRANCE", doi = "https://doi.org/10.1175/JPO-D-19-0172.1", abstract = "
Reconstructability of upper ocean vertical velocity (w) and vorticity (ζ) fields from high-resolution sea surface height (SSH) data is explored using the global 1/48° horizontal-resolution MITgcm output in the context of the forth-coming Surface Water and Ocean Topography (SWOT) mission. By decomposing w with an omega equation of the primitive-equation system and by taking into account the measurement design of the SWOT mission, this study seeks to reconstruct the subinertial, balanced w and ζ signals. By adopting the effective surface quasi-geostrophic (eSQG) framework and applying to the Kuroshio Extension region of the North Pacific, we find that the target and reconstructed fields have a spatial correlation of ~0.7 below the mixed layer for w and 0.7 ~ 0.9 throughout the 1000m upper ocean for ζ in the error-free scenario. By taking the SWOT sampling and measurement errors into account, the spatial correlation is found to decrease to 0.4 ~ 0.6 below the mixed layer for w and 0.6 ~ 0.7 for ζ, respectively. For both w and ζ reconstruction, the degradation due to the SWOT errors is more significant in the surface layer and for smaller-scale signals. The impact of errors lessens with the increasing depth and lengthening horizontal scales.
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