Articles | Volume 17, issue 10
https://doi.org/10.5194/nhess-17-1763-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-1763-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
Ocean Engineering Division, Council
of Scientific and Industrial Research (CSIR)–National Institute of Oceanography, Dona Paula 403 004, India
V. Sanil Kumar
CORRESPONDING AUTHOR
Ocean Engineering Division, Council
of Scientific and Industrial Research (CSIR)–National Institute of Oceanography, Dona Paula 403 004, India
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Cited
19 citations as recorded by crossref.
- Wave climate variability along the selected erosional hotspots of Kerala P. Arayakandy et al. https://doi.org/10.1007/s10236-026-01786-8
- Statistical models for extreme waves: Comparison of distributions and Monte Carlo simulation of uncertainty T. Görmüş et al. https://doi.org/10.1016/j.oceaneng.2022.110820
- Climatology and trends of the Indian Ocean surface waves based on 39‐year long ERA5 reanalysis data T. Muhammed Naseef & V. Sanil Kumar https://doi.org/10.1002/joc.6251
- Generalized Gumbel model for r-largest order statistics, with an application to peak streamflow Y. Shin & J. Park https://doi.org/10.1038/s41598-024-83273-y
- Statistical modelling of the ocean environment – A review of recent developments in theory and applications E. Vanem et al. https://doi.org/10.1016/j.marstruc.2022.103297
- Modeling climate extremes using the four-parameter kappa distribution for r-largest order statistics Y. Shin & J. Park https://doi.org/10.1016/j.wace.2022.100533
- Variabilities in the estimate of 100-year return period wave height in the Indian shelf seas S. Vinayan et al. https://doi.org/10.1007/s10872-024-00733-9
- Extreme significant wave height of tropical cyclone waves in the South China Sea Z. Shao et al. https://doi.org/10.5194/nhess-19-2067-2019
- Wave Climate Variability and Occurrence of Mudbanks Along the Southwest Coast of India Y. Saprykina et al. https://doi.org/10.3389/fmars.2021.671379
- Evolving storm regimes: Decadal trends and coastal risk at the atlantic-mediterranean boundary P. Scala et al. https://doi.org/10.1016/j.ecss.2026.109849
- Modelling and simulation of extreme wave heights around agatti island of lakshadweep, west coast of India S. Dinakaran et al. https://doi.org/10.3389/fbuil.2022.991768
- Extreme value analysis of wave climate around Farasan Islands, southern Red Sea V. Shamji et al. https://doi.org/10.1016/j.oceaneng.2020.107395
- Impact of Climate Change on Nearshore Waves at a Beach Protected by a Barrier Reef C. de Lalouvière et al. https://doi.org/10.3390/w12061681
- Optimizing threshold selection for accurate prediction of long-term extreme wave heights B. Almarshed https://doi.org/10.1016/j.jer.2024.12.005
- Influence of tropical cyclones on the 100‐year return period wave height—A study based on 39‐year long ERA5 reanalysis data T. Naseef & V. Kumar https://doi.org/10.1002/joc.6321
- Analysis of the Block Size Effects on the Extreme Wave Data Independence T. Jeong & H. Cho https://doi.org/10.9765/KSCOE.2025.37.5.219
- Ocean wave dynamics in the coastal area of the central west coast of India and its variability P. Aravind et al. https://doi.org/10.1016/j.oceaneng.2021.108880
- Evaluation of ERA5 reanalysis wave spectra with observations during seasonal and extreme conditions along the west coast of India S. Samiksha et al. https://doi.org/10.1016/j.oceaneng.2026.124374
- Generalized logistic model for r largest order statistics, with hydrological application Y. Shin & J. Park https://doi.org/10.1007/s00477-023-02642-7
19 citations as recorded by crossref.
- Wave climate variability along the selected erosional hotspots of Kerala P. Arayakandy et al. https://doi.org/10.1007/s10236-026-01786-8
- Statistical models for extreme waves: Comparison of distributions and Monte Carlo simulation of uncertainty T. Görmüş et al. https://doi.org/10.1016/j.oceaneng.2022.110820
- Climatology and trends of the Indian Ocean surface waves based on 39‐year long ERA5 reanalysis data T. Muhammed Naseef & V. Sanil Kumar https://doi.org/10.1002/joc.6251
- Generalized Gumbel model for r-largest order statistics, with an application to peak streamflow Y. Shin & J. Park https://doi.org/10.1038/s41598-024-83273-y
- Statistical modelling of the ocean environment – A review of recent developments in theory and applications E. Vanem et al. https://doi.org/10.1016/j.marstruc.2022.103297
- Modeling climate extremes using the four-parameter kappa distribution for r-largest order statistics Y. Shin & J. Park https://doi.org/10.1016/j.wace.2022.100533
- Variabilities in the estimate of 100-year return period wave height in the Indian shelf seas S. Vinayan et al. https://doi.org/10.1007/s10872-024-00733-9
- Extreme significant wave height of tropical cyclone waves in the South China Sea Z. Shao et al. https://doi.org/10.5194/nhess-19-2067-2019
- Wave Climate Variability and Occurrence of Mudbanks Along the Southwest Coast of India Y. Saprykina et al. https://doi.org/10.3389/fmars.2021.671379
- Evolving storm regimes: Decadal trends and coastal risk at the atlantic-mediterranean boundary P. Scala et al. https://doi.org/10.1016/j.ecss.2026.109849
- Modelling and simulation of extreme wave heights around agatti island of lakshadweep, west coast of India S. Dinakaran et al. https://doi.org/10.3389/fbuil.2022.991768
- Extreme value analysis of wave climate around Farasan Islands, southern Red Sea V. Shamji et al. https://doi.org/10.1016/j.oceaneng.2020.107395
- Impact of Climate Change on Nearshore Waves at a Beach Protected by a Barrier Reef C. de Lalouvière et al. https://doi.org/10.3390/w12061681
- Optimizing threshold selection for accurate prediction of long-term extreme wave heights B. Almarshed https://doi.org/10.1016/j.jer.2024.12.005
- Influence of tropical cyclones on the 100‐year return period wave height—A study based on 39‐year long ERA5 reanalysis data T. Naseef & V. Kumar https://doi.org/10.1002/joc.6321
- Analysis of the Block Size Effects on the Extreme Wave Data Independence T. Jeong & H. Cho https://doi.org/10.9765/KSCOE.2025.37.5.219
- Ocean wave dynamics in the coastal area of the central west coast of India and its variability P. Aravind et al. https://doi.org/10.1016/j.oceaneng.2021.108880
- Evaluation of ERA5 reanalysis wave spectra with observations during seasonal and extreme conditions along the west coast of India S. Samiksha et al. https://doi.org/10.1016/j.oceaneng.2026.124374
- Generalized logistic model for r largest order statistics, with hydrological application Y. Shin & J. Park https://doi.org/10.1007/s00477-023-02642-7
Saved (final revised paper)
Latest update: 11 Jun 2026
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.
Assessment of design waves is performed using generalized extreme value (GEV) and generalized...
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