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Modeling the Wake of the Marquesas Archipelago

Authors: H. Raapoto; E. Martinez; A. Petrenko; A. M. Doglioli; C. Maes;

Modeling the Wake of the Marquesas Archipelago

Abstract

AbstractIn this study, a high‐resolution (∼2.5 km) numerical model was set up to investigate the fine‐scale activity within the region of the Marquesas archipelago. This has never been performed before. The robustness of the model results is assessed by comparison with remote sensing and in situ observations. Our results highlight regions of warm waters leeward of the different islands with high eddy kinetic energy (EKE) on their sides. The analysis of energy conversion terms reveals contributions to EKE variability by wind, baroclinic, and barotropic instabilities. The use of a geometry‐based eddy detection algorithm reveals the generation of cyclonic and anticyclonic eddies in the wake of the largest islands, with both an inshore and offshore effect. Maximum eddy activity occurs in austral winter following the seasonality of both wind stress and EKE intensity. Most eddies have a radius between 20 and 30 km and are generally cyclonic rather than anticyclonic. Significant vertical velocities are observed in the proximity of the islands, associated with topographically induced flow separation. Eddy trapping inshore waters are advected offshore in the wake of the islands. The overall influence of these fine‐scale dynamics could explain the strong biological enhancement of the archipelago.

Country
France
Keywords

[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, eddy kinetic, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, eddy kinetic energy, Marquesas archipelago, Island wakes, Oceanography, Geophysics, Space and Planetary Science, Geochemistry and Petrology, eddy detection, Earth and Planetary Sciences (miscellaneous), fine-scale processes, Island mass effect, energy

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    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
Green
bronze