Research Papers

Study on altimeter-based inversion model of mean wave period

[+] Author Affiliations
Hongli Miao

Ocean University of China, College of Information Science and Engineering, Qingdao 266100, China

Haoran Ren

Ocean University of China, College of Information Science and Engineering, Qingdao 266100, China

Xiaoguang Zhou, Guizhong Wang

Ocean University of China, College of Information Science and Engineering, Qingdao 266100, China

Jie Zhang

First Institute of Oceanography of State Oceanic Administration, Qingdao 266061, China

J. Appl. Remote Sens. 6(1), 063591 (Nov 07, 2012). doi:10.1117/1.JRS.6.063591
History: Received March 28, 2012; Revised September 12, 2012; Accepted September 26, 2012
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Abstract.  Based on the strong correlation between nondimensional wave height and wave age, we propose a quartic polynomial model by piecewise method according to significant wave height. In order to validate our new model, a validation dataset was created by interpolating the mean wave period data of ERA-40 to 23 cycles counterpart measuring points of Jason-1 altimeter with bilinear interpolation. We found that (1) the previous inversion models based on altimeter measurements cannot provide enough accuracy with our global validation dataset; (2) compared with H98 model, the RMS error and bias were reduced by 0.8949 s and 0.3759 s, respectively, by piecewise quartic polynomial model. Furthermore, the bias of the new model is 0.0197s, which indicates that it offers enough accuracy in the global range.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Hongli Miao ; Haoran Ren ; Xiaoguang Zhou ; Guizhong Wang and Jie Zhang
"Study on altimeter-based inversion model of mean wave period", J. Appl. Remote Sens. 6(1), 063591 (Nov 07, 2012). ; http://dx.doi.org/10.1117/1.JRS.6.063591


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