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| Titel |
Enhancing the accuracy of automatic eddy detection and the capability of recognizing the multi-core structures from maps of sea level anomaly |
| VerfasserIn |
J. Yi, Y. Du, Z. He, C. Zhou |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1812-0784
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| Digitales Dokument |
URL |
| Erschienen |
In: Ocean Science ; 10, no. 1 ; Nr. 10, no. 1 (2014-02-10), S.39-48 |
| Datensatznummer |
250116922
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| Publikation (Nr.) |
 copernicus.org/os-10-39-2014.pdf |
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| Zusammenfassung |
| Automated methods are important for automatically detecting mesoscale eddies
in large volumes of altimeter data. While many algorithms have been proposed
in the past, this paper presents a new method, called hybrid detection (HD),
to enhance the eddy detection accuracy and the capability of recognizing eddy
multi-core structures from maps of sea level anomaly (SLA). The HD method has
integrated the criteria of the Okubo–Weiss (OW) method and the sea surface
height-based (SSH-based) method, two commonly used eddy detection algorithms.
Evaluation of the detection accuracy shows that the successful detection rate
of HD is ~ 96.6% and the excessive detection rate is
~ 14.2%, which outperforms the OW and those methods using SLA
extrema to identify eddies. The capability of recognizing multi-core
structures and its significance in tracking eddy splitting or merging events
have been illustrated by comparing with the detection results of different
algorithms and observations in previous literature. |
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