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Technical Note

Coastal Current Intrusions from Satellite Altimetry

1
Consiglio Nazionale delle Ricerche, Istituto di Scienze dell’Atmosfera e del Clima (CNR-ISAC), 0133 Rome, Italy
2
Serco c/o ESA, European Space Agency ESA-ESRIN, 00044 Frascati, Italy
3
EUMETSAT, Eumetsat Allee 1, 64295 Darmstadt, Germany
4
Aix Marseille Université, Université de Toulon, CNRS, IRD, MIO, 13288 Marseille, France
5
European Space Agency, Directorate of Earth Observation Programmes, 00040 Frascati, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(22), 3686; https://doi.org/10.3390/rs12223686
Received: 21 September 2020 / Revised: 2 November 2020 / Accepted: 3 November 2020 / Published: 10 November 2020
The use of satellite-based data in coastal regions for the monitoring of fine-scale ocean dynamics, impacting marine ecosystems, is a difficult challenge. A random forest algorithm to detect slope current intrusions into the Gulf of Lion, Mediterranean Sea, has been developed using both improved coastal altimetry data and 10 year-long numerical simulations. The results have been compared to an independent dataset of in situ measurements from a bottom-moored Acoustic Doppler Current Profiler. The algorithm results are very promising: 93% of slope current intrusions have been correctly identified, and the number of false alarms is moderate. The dependence of the algorithm on several environmental factors is discussed in the paper. From the oceanographic point of view, our results confirm the strong impacts of horizontal winds in the dynamic of the intrusion events in the study area. Our methodology combining numerical modeling, in situ data and new machine-learning tools proves effective in improving the capabilities of ocean remote sensing in coastal areas. View Full-Text
Keywords: altimetry; coastal circulation; numerical modeling; in situ measurements; machine learning algorithm altimetry; coastal circulation; numerical modeling; in situ measurements; machine learning algorithm
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MDPI and ACS Style

Casella, D.; Meloni, M.; Petrenko, A.A.; Doglioli, A.M.; Bouffard, J. Coastal Current Intrusions from Satellite Altimetry. Remote Sens. 2020, 12, 3686. https://doi.org/10.3390/rs12223686

AMA Style

Casella D, Meloni M, Petrenko AA, Doglioli AM, Bouffard J. Coastal Current Intrusions from Satellite Altimetry. Remote Sensing. 2020; 12(22):3686. https://doi.org/10.3390/rs12223686

Chicago/Turabian Style

Casella, Daniele, Marco Meloni, Anne A. Petrenko, Andrea M. Doglioli, and Jerome Bouffard. 2020. "Coastal Current Intrusions from Satellite Altimetry" Remote Sensing 12, no. 22: 3686. https://doi.org/10.3390/rs12223686

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