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Remote Sens. 2017, 9(2), 107; doi:10.3390/rs9020107

Limitation of SAR Quasi-Linear Inversion Data on Swell Climate: An Example of Global Crossing Swells

1
Department of Marine Technology, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
2
Laboratoire d’Océanographie Physique et Spatiale, Centre de Brest, IFREMER, 29280 Plouzané, France
3
National Ocean Technology Center, State Oceanic Administration, Tianjin 300000, China
4
Department of Infrastructure Engineering, Melbourne School of Engineering, University of Melbourne, 3000 Victoria, Australia
5
Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
*
Author to whom correspondence should be addressed.
Received: 14 December 2016 / Accepted: 23 January 2017 / Published: 27 January 2017
(This article belongs to the Special Issue Ocean Remote Sensing)
View Full-Text   |   Download PDF [4900 KB, uploaded 27 January 2017]   |  

Abstract

Numerical wave models are powerful tools for investigating global wave climate. Here a global wave hindcast is employed to estimate the global pattern of crossing swells. However, the global patterns of crossing swells derived from the model are different from those derived from the synthetic aperture radar (SAR) wave mode products of quasi-linear inversion, indicating one of them is questionable. The comparison shows that the first two most energetic swells inversed by SAR are often not in accordance with the first two most energetic swells in the model, and this will have a large impact on the statistics of the data. Before this problem is solved, SAR wave products of quasi-linear inversion should be treated with care in wave climate studies. View Full-Text
Keywords: synthetic aperture radar; quasi-linear inversion; crossing swells; wave climate synthetic aperture radar; quasi-linear inversion; crossing swells; wave climate
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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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Jiang, H.; Mouche, A.; Wang, H.; Babanin, A.V.; Chapron, B.; Chen, G. Limitation of SAR Quasi-Linear Inversion Data on Swell Climate: An Example of Global Crossing Swells. Remote Sens. 2017, 9, 107.

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