Maximum entropy estimates of extreme significant wave heights from satellite altimeter data

被引:10
作者
Petrov, V. [1 ]
Lucas, C. [1 ]
Soares, C. Guedes [1 ]
机构
[1] Univ Lisbon, Inst Super Tecn, Ctr Marine Technol & Ocean Engn CENTEC, Lisbon, Portugal
关键词
Maximum entropy; GPD; POT; Wave heights; Extremes; Satellite altimeter data; LONG-TERM PREDICTIONS; WIND-SPEED; SEA-LEVEL; OCEAN; STATISTICS; RECURSION; STATES; PEAKS;
D O I
10.1016/j.oceaneng.2019.106205
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The performance of the Maximum Entropy method is compared to the one of the Generalized Pareto distribution in extrapolating the extreme wave climate over the northern part of Atlantic Ocean, based on a twenty-year dataset of satellite altimeter measurements of significant wave height. Both methods are employed on peaks over threshold samples, which consist of medians above a given threshold value calculated for each satellite passage, over a grid of points of 1 degrees latitude x 1 degrees longitude. Additionally, the generalized extreme value distribution employed on annual maxima data has been used as a reference model. The results indicate that the Maximum Entropy method is significantly less sensitive to the threshold level than the Generalized Pareto distribution, that is, to the variation of the sample size, when producing extreme values of significant wave height.
引用
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页数:12
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