Statistical analysis on extreme wave height
The classical extreme value theory based on generalized extreme value (GEV) distribution and generalized Pareto distribution (GPD) is applied to the wave height estimate based on wave hindcast data covering a period of 31 years for a location in the eastern Arabian Sea. Practical concern such as the...
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description | The classical extreme value theory based on generalized extreme value (GEV) distribution and generalized Pareto distribution (GPD) is applied to the wave height estimate based on wave hindcast data covering a period of 31 years for a location in the eastern Arabian Sea. Practical concern such as the threshold selection and model validation is discussed. Estimates of wave height having different return periods are compared with estimates obtained from different distributions. On comparing the distributions fitted to the GEV with annual maximum approach and GPD with peaks over threshold approach have indicated that both GEV and GPD models gave similar or comparable wave height for the study area since there is no multiple storm event in a year. Influence of seasonality on wave height having different return period is also studied. |
doi_str_mv | 10.1007/s11069-012-0229-y |
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V.</au><au>Sanil Kumar, V.</au><au>Sudheesh, K.</au><au>Sajeev, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Statistical analysis on extreme wave height</atitle><jtitle>Natural hazards (Dordrecht)</jtitle><stitle>Nat Hazards</stitle><date>2012-10-01</date><risdate>2012</risdate><volume>64</volume><issue>1</issue><spage>223</spage><epage>236</epage><pages>223-236</pages><issn>0921-030X</issn><eissn>1573-0840</eissn><coden>NAHZEL</coden><abstract>The classical extreme value theory based on generalized extreme value (GEV) distribution and generalized Pareto distribution (GPD) is applied to the wave height estimate based on wave hindcast data covering a period of 31 years for a location in the eastern Arabian Sea. Practical concern such as the threshold selection and model validation is discussed. Estimates of wave height having different return periods are compared with estimates obtained from different distributions. 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subjects | Arabian Sea Civil Engineering Coastal zone management Disasters Earth and Environmental Science Earth Sciences Earth, ocean, space Engineering and environment geology. Geothermics Environmental Management Environmental policy Estimates Exact sciences and technology Extreme values Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hydrogeology Location Natural Hazards Natural hazards: prediction, damages, etc Natural resources Ocean currents Original Paper Pareto optimality Physical oceanography Position (location) Seasonal variations Statistical analysis Storms Surface waves Thresholds Wave height |
title | Statistical analysis on extreme wave height |
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