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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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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1724863954163859456 |