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Regional mapping of energetic short mesoscale ocean dynamics from altimetry: performances from real observations

Florian Le Guillou; Lucile Gaultier; Maxime Ballarotta; Sammy Metref; Clément Ubelmann; Emmanuel Cosme; Marie-Helène Rio
Ocean Science · Vol. 19, Issue 5 · pp. 1517-1527 · 2023

Abstract

For over 25 years, satellite altimetry has provided invaluable information about the ocean dynamics at many scales. In particular, gridded sea surface height (SSH) maps allow us to estimate the mesoscale geostrophic circulation in the ocean. However, conventional interpolation techniques rely on static optimal interpolation schemes, hence limiting the estimation of non-linear dynamics at scales not well sampled by altimetry (i.e., below 150–200 km at mid-latitudes). To overcome this limitation in the resolution of small-scale SSH structures (and thus small-scale geostrophic currents), a back-and-forth nudging algorithm combined with a quasi-geostrophic model, a technique called BFN-QG, has been successfully applied on simulated SSH data in observing system simulation experiments (OSSEs). The result is a significant reduction in interpolation error and an improvement in the space–time resolutions of the experimental gridded product compared to those of operational products. In this study, we propose that the BFN-QG be applied to real altimetric SSH data in a highly turbulent region spanning a part of the Agulhas Current. The performances are evaluated within observing system experiments (OSEs) that use independent data (such as independent SSH, sea surface temperature and drifter data) as ground truth. By comparing the mapping performances to the ones obtained with operational products, we show that the BFN-QG improves the mapping of short, energetic mesoscale structures and associated geostrophic currents both in space and time. In particular, the BFN-QG improves (i) the spatial effective resolution of the SSH maps by a factor of 20 %, (ii) the zonal and (especially) the meridional geostrophic currents, and (iii) the prediction of Lagrangian transport for lead times up to 10 d. Unlike the results obtained in the OSSEs, the OSEs reveal more contrasting performances in low-variability regions, which are discussed in the paper.

Bibliographic Information

JournalOcean Science
PublisherCopernicus Publications / European Geosciences Union
Publication Date2023-10-26
Publication Year2023
Volume19
Issue5
Pages1517-1527
Document TypeJournal Article
Print ISSN1812-0784
eISSN1812-0792
DOI10.5194/os-19-1517-2023
SubjectOceanography; physical oceanography; chemical oceanography; biogeochemistry; ocean modelling

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NARA Access CoverageOA / free full text
Journal Homepagehttps://www.ocean-science.net/
Publisher PageOpen Publisher Page
This article is openly available from the publisher.