Ocean Science
Ocean Science
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Articles | Volume 19, issue 5
Articles | Volume 19, issue 5
https://doi.org/10.5194/os-19-1517-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-19-1517-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 5
Research article
 | 
26 Oct 2023
Research article |  | 26 Oct 2023

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, and Marie-Helène Rio

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Cited articles

Amraoui, S., Auroux, D., Blum, J., and Cosme, E.: Back-and-forth nudging for the quasi-geostrophic ocean dynamics with altimetry: Theoretical convergence study and numerical experiments with the future SWOT observations, Discrete Contin. Dyn. S., 16, 197–219, https://doi.org/10.3934/dcdss.2022058, 2023. a
Auroux, D. and Blum, J.: A nudging-based data assimilation method: the Back and Forth Nudging (BFN) algorithm, Nonlin. Processes Geophys., 15, 305–319, https://doi.org/10.5194/npg-15-305-2008, 2008. a, b
Ballarotta, M., Ubelmann, C., Pujol, M.-I., Taburet, G., Fournier, F., Legeais, J.-F., Faugère, Y., Delepoulle, A., Chelton, D., Dibarboure, G., and Picot, N.: On the resolutions of ocean altimetry maps, Ocean Sci., 15, 1091–1109, https://doi.org/10.5194/os-15-1091-2019, 2019. a
Ballarotta, M., Ubelmann, C., Rogé, M., Fournier, F., Yannice, F., Gerald, D., Morrow, R., and Picot, N.: Dynamic Mapping of Along-Track Ocean Altimetry: Performance from Real Observations, J. Atmos. Ocean. Tech., 37, 1–27, https://doi.org/10.1175/JTECH-D-20-0030.1, 2020. a, b, c
Bryden, H., Beal, L., and Duncan, L.: Structure and Transport of the Agulhas Current and Its Temporal Variability, J. Oceanogr., 61, 479–492, https://doi.org/10.1007/s10872-005-0057-8, 2005. a
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Short summary
Altimetry provides sea surface height (SSH) data along one-dimensional tracks. For many applications, the tracks are interpolated in space and time to provide gridded SSH maps. The operational SSH gridded products filter out the small-scale signals measured on the tracks. This paper evaluates the performances of a recently implemented dynamical method to retrieve the small-scale signals from real SSH data. We show a net improvement in the quality of SSH maps when compared to independent data.
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Data assimilation techniques and applications in coastal and...