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Remote Sens. 2016, 8(9), 695; doi:10.3390/rs8090695

A Comparison between Drifter and X-Band Wave Radar for Sea Surface Current Estimation

1
Institute for Electromagnetic Sensing of the Environment, National Research Council, 80124 Napoli, Italy
2
Department of Civil, Environmental, AeroSpace, Materials Engineering, University of Palermo, 90128 Palermo, Italy
3
Institute for Coastal Marine Environment, National Research Council (CNR-IAMC), 98122 Messina, Italy
4
Institute of Biometeorology of the National Research Council (CNR-IBMET), I-50145 Firenze, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Raffaele Persico, Xiaofeng Li, Deepak R. Mishra and Prasad S. Thenkabail
Received: 28 June 2016 / Revised: 8 August 2016 / Accepted: 17 August 2016 / Published: 24 August 2016
(This article belongs to the Special Issue Radar Systems for the Societal Challenges)
View Full-Text   |   Download PDF [5379 KB, uploaded 24 August 2016]   |  

Abstract

This paper deals with exploitation of the wave radar system for sea surface current estimation in a coastal zone. In particular, we present the results of the processing of the radar data collected by an X-band marine radar installed in Capo Granitola site, which is located in the south-west part of Sicily, on 15 May 2015. The effectiveness of the data processing is analyzed by comparing the wave radar estimated sea surface current with that provided by the Lagrangian drifters along its movement trajectory. During the measurement campaign, three drifter releases are carried out and for each one the comparison is provided in terms of the mean error and standard deviation. In addition, we report the characteristic sea state parameters, in terms of peak wavelength (λp), peak direction propagation (θp), peak period (Tp) and significant wave height (Hs) of the dominant waves estimated by the wave radar system. View Full-Text
Keywords: marine X-band radar; sea state monitoring; sea surface current estimation; Lagrangian drifters marine X-band radar; sea state monitoring; sea surface current estimation; Lagrangian drifters
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ludeno, G.; Nasello, C.; Raffa, F.; Ciraolo, G.; Soldovieri, F.; Serafino, F. A Comparison between Drifter and X-Band Wave Radar for Sea Surface Current Estimation. Remote Sens. 2016, 8, 695.

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