Uncertainties of the 50-year wave height estimation using generalized extreme value and generalized Pareto distributions in the Indian Shelf seas

T. Muhammed Naseef, V. Sanil Kumar (), Jossia Joseph and B. K. Jena
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T. Muhammed Naseef: CSIR-National Institute of Oceanography (Council of Scientific and Industrial Research)
V. Sanil Kumar: CSIR-National Institute of Oceanography (Council of Scientific and Industrial Research)
Jossia Joseph: National Institute of Ocean Technology
B. K. Jena: National Institute of Ocean Technology

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2019, vol. 97, issue 3, No 14, 1251 pages

Abstract: Abstract Information about waves with specific return period in a region is essential for the safe design of marine facilities. In this study, significant wave height for 50-year return period is estimated using generalized extreme value (GEV) distribution and generalized Pareto distribution (GPD) based on the 15-year wave hindcast data. In order to realize the dependency of nature of the time series data on return value estimation, three types of data series: daily maxima (DM), monthly maxima (MM) and annual maxima (AM) are considered for GEV, whereas for GPD, threshold values are estimated from the parent data set at 6 h and the DM series. The GEV distribution shows that AM predicts higher significant wave height followed by MM and then DM. The large number (~ 50%) of smaller wave height value (

Keywords: Extreme value distribution; Surface waves; Design wave height; Return period; Indian Ocean (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11069-019-03701-5

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