Articles | Volume 17, issue 10
Research article
19 Oct 2017
Research article |  | 19 Oct 2017

Variations in return value estimate of ocean surface waves – a study based on measured buoy data and ERA-Interim reanalysis data

T. Muhammed Naseef and V. Sanil Kumar

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Cited articles

Abild, J., Andersen, E. Y., and Rosbjerg, D.: The climate of extreme winds at the Great Belt, Denmark, J. Wind. Eng. Ind. Aerod., 41, 521–532, 1992.
Alves, J. H. G. M. and Young, I. R.: On estimating extreme wave heights using combined Geosat, Topex/Poseidon and ERS-1 altimeter data, Appl. Ocean. Res., 25, 167–186, 2003.
Anoop, T. R., Kumar, V. S., Shanas, P. R., and Johnson, G.: Surface wave climatology and its variability in the north Indian Ocean Based on ERA-interim reanalysis, J. Atmos. Ocean. Tech., 32, 1372–1385,, 2015.
Brodtkorb, P. A., Johannesson, P., Lindgren, G., Rychlik, I., Rydén, J., and Sjö, E.: WAFO – a Matlab toolbox for analysis of random waves and loads, Proc. 10th Int. Offshore and Polar Eng. Conf., Seattle, USA., Vol III, 343–350, 2000.
Caires, S. and Sterl, A.: 100-year return value estimates for ocean wind speed and significant wave height from the ERA-40 data, J. Climate., 18, 1032–1048, 2005.
Short summary
Assessment of design waves is performed using generalized extreme value (GEV) and generalized Pareto distribution (GPD) based on buoy data for 8 years and ERA-Interim reanalysis data for 38 years. The initial distribution method underestimates return levels compared to GPD. Intercomparison of return levels by block maxima and r-largest method for GEV theory shows that return level for 100 years is 7.24 m by r-largest series. A single storm can cause a large difference in the 100-year Hs value.
Final-revised paper