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Article

Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of Naples

1
Institute of Atmospheric Sciences and Climate- National Research Council (ISAC-CNR), 00133 Roma, Italy
2
Università degli Studi di Napoli Parthenope and CoNISMa, 80143 Napoli, Italy
3
Institute of Marine Sciences–National Research Council (ISMAR-CNR), 00133 Roma, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(1), 97; https://doi.org/10.3390/rs12010097
Received: 4 November 2019 / Revised: 18 December 2019 / Accepted: 23 December 2019 / Published: 27 December 2019
(This article belongs to the Special Issue Remote Sensing of the Oceans: Blue Economy and Marine Pollution)
Submesoscale eddies play an important role in the energy transfer from the mesoscale down to the dissipative range, as well as in tracer transport. They carry inorganic matter, nutrients and biomass; in addition, they may act as pollutant conveyors. However, synoptic observations of these features need high resolution sampling, in both time and space, making their identification challenging. Therefore, HF coastal radar were and are successfully used to accurately identify, track and describe them. In this paper we tested two already existing algorithms for the automated detection of submesoscale eddies. We applied these algorithms to HF radar velocity fields measured by a network of three radar systems operating in the Gulf of Naples. Both methods showed shortcomings, due to the high non-geostrophy of the observed currents. For this reason we developed a third, novel algorithm that proved to be able to detect highly asymmetrical eddies, often not properly identified by the previous ones. We used the results of the application of this algorithm to estimate the eddy boundary profiles and the eddy spatial distribution. View Full-Text
Keywords: surface currents; HF radar; eddy detection algorithms surface currents; HF radar; eddy detection algorithms
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MDPI and ACS Style

Bagaglini, L.; Falco, P.; Zambianchi, E. Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of Naples. Remote Sens. 2020, 12, 97. https://doi.org/10.3390/rs12010097

AMA Style

Bagaglini L, Falco P, Zambianchi E. Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of Naples. Remote Sensing. 2020; 12(1):97. https://doi.org/10.3390/rs12010097

Chicago/Turabian Style

Bagaglini, Leonardo, Pierpaolo Falco, and Enrico Zambianchi. 2020. "Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of Naples" Remote Sensing 12, no. 1: 97. https://doi.org/10.3390/rs12010097

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