Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/58648
Title: Estimation of extreme wave heights and wind speeds in the South China Sea
Authors: Wang, J C
Zang, S D
Ji, Y J
Zhang, Y H
Keywords: Extreme events;Polynomial approximation;Return value;Significant wave height;Wind speed
Issue Date: Sep-2021
Publisher: NIScPR-CSIR, India
Abstract: Extreme events have significant impacts on the coastal and offshore regions. In the present paper, the return values of significant wave height and wind speed are estimated based on three different models namely generalized extreme value distribution, generalized Pareto distribution and polynomial approximation to acquire a universal and trustworthy model estimate. Here, six sites in the South China Sea with diverse geographical characteristics are considered to perform the extreme value analysis and the datasets used in the experiments were derived from the ERA-Interim reanalysis. Then the advantages and shortcomings of three different methods are discussed and analyzed in detail. The polynomial approximation method is analyzed and compared with the other methods, and it is found that this new method predominantly resolves the drawbacks encountered by the other typical extreme value estimation methods and it is suitable for estimating the return values in the South China Sea.
Page(s): 685-692
URI: http://nopr.niscair.res.in/handle/123456789/58648
ISSN: 2582-6727 (Online); 2582-6506 (Print)
Appears in Collections:IJMS Vol.50(09) [September 2021]

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