Limitation of SAR Quasi-Linear Inversion Data on Swell Climate: An Example of Global Crossing Swells
|Copyright||2017 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).|
|Author(s)||Jiang Haoyu1, Mouche Alexis2, Wang He3, Babanin Alexander V.4, Chapron Bertrand2, Chen Ge1, 5|
|Affiliation(s)||1 : Ocean Univ China, Coll Informat Sci & Engn, Dept Marine Technol, Qingdao 266100, Peoples R China.
2 : IFREMER, Ctr Brest, Lab Oceanog Phys & Spatiale, F-29280 Plouzane, France.
3 : State Ocean Adm, Natl Ocean Technol Ctr, Tianjin 300000, Peoples R China.
4 : Univ Melbourne, Melbourne Sch Engn, Dept Infrastruct Engn, Melbourne, Vic 3000, Australia.
5 : Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao 266100, Peoples R China.
|Source||Remote Sensing (2072-4292) (Mdpi Ag), 2017-02 , Vol. 9 , N. 2 , P. 107 (1-8)|
|Keyword(s)||synthetic aperture radar, quasi-linear inversion, crossing swells, wave climate|
|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.|