Study on altimeter-based inversion model of mean wave period

Hongli Miao; Haoran Ren; Xiaoguang Zhou; Guizhong Wang; Jie Zhang

doi:10.1117/1.JRS.6.063591

7 November 2012 Study on altimeter-based inversion model of mean wave period

Hongli Miao, Haoran Ren, Xiaoguang Zhou, Guizhong Wang, Jie Zhang

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 6, Issue 1, 063591 (November 2012). https://doi.org/10.1117/1.JRS.6.063591

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.

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Hongli Miao, Haoran Ren, Xiaoguang Zhou, Guizhong Wang, and Jie Zhang "Study on altimeter-based inversion model of mean wave period," Journal of Applied Remote Sensing 6(1), 063591 (7 November 2012). https://doi.org/10.1117/1.JRS.6.063591

Published: 7 November 2012

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