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Journal of Applied Remote Sensing

Study on altimeter-based inversion model of mean wave period
Author(s): Hongli Miao; Haoran Ren; Xiaoguang Zhou; Guizhong Wang; Jie Zhang
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Paper 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 −0.0197  s, which indicates that it offers enough accuracy in the global range.

Paper Details

Date Published: 7 November 2012
PDF: 8 pages
J. Appl. Remote Sens. 6(1) 063591 doi: 10.1117/1.JRS.6.063591
Published in: Journal of Applied Remote Sensing Volume 6, Issue 1
Show Author Affiliations
Hongli Miao, Ocean Univ. of China (China)
Haoran Ren, Ocean Univ. of China (China)
Xiaoguang Zhou, Ocean Univ. of China (China)
Guizhong Wang, Ocean Univ. of China (China)
Jie Zhang, First Institute of Oceanography, SOA (China)


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