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

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 n...

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Main Authors: Leonardo Bagaglini, Pierpaolo Falco, Enrico Zambianchi
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/1/97
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spelling doaj-007a951a7d9249feac701577daf6b8c82020-11-25T02:22:01ZengMDPI AGRemote Sensing2072-42922019-12-011219710.3390/rs12010097rs12010097Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of NaplesLeonardo Bagaglini0Pierpaolo Falco1Enrico Zambianchi2Institute of Atmospheric Sciences and Climate- National Research Council (ISAC-CNR), 00133 Roma, ItalyUniversità degli Studi di Napoli Parthenope and CoNISMa, 80143 Napoli, ItalyUniversità degli Studi di Napoli Parthenope and CoNISMa, 80143 Napoli, ItalySubmesoscale 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.https://www.mdpi.com/2072-4292/12/1/97surface currentshf radareddy detection algorithms
collection DOAJ
language English
format Article
sources DOAJ
author Leonardo Bagaglini
Pierpaolo Falco
Enrico Zambianchi
spellingShingle Leonardo Bagaglini
Pierpaolo Falco
Enrico Zambianchi
Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of Naples
Remote Sensing
surface currents
hf radar
eddy detection algorithms
author_facet Leonardo Bagaglini
Pierpaolo Falco
Enrico Zambianchi
author_sort Leonardo Bagaglini
title Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of Naples
title_short Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of Naples
title_full Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of Naples
title_fullStr Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of Naples
title_full_unstemmed Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of Naples
title_sort eddy detection in hf radar-derived surface currents in the gulf of naples
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2019-12-01
description 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.
topic surface currents
hf radar
eddy detection algorithms
url https://www.mdpi.com/2072-4292/12/1/97
work_keys_str_mv AT leonardobagaglini eddydetectioninhfradarderivedsurfacecurrentsinthegulfofnaples
AT pierpaolofalco eddydetectioninhfradarderivedsurfacecurrentsinthegulfofnaples
AT enricozambianchi eddydetectioninhfradarderivedsurfacecurrentsinthegulfofnaples
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