Articles | Volume 14, issue 6
https://doi.org/10.5194/nhess-14-1407-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-14-1407-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Jun 2014
Research article |
| 05 Jun 2014
The North Sea Andrea storm and numerical simulations
E. M. Bitner-Gregersen
DNV GL Strategic Research and Innovation, Høvik, Norway
L. Fernandez
Department of Civil Engineering, KU Leuven, Heverlee, Belgium
J. M. Lefèvre
Division Marine et Oceanographie, Meteo-France,Toulouse, France
J. Monbaliu
Department of Civil Engineering, KU Leuven, Heverlee, Belgium
A. Toffoli
Centre for Ocean Engineering Science and Technology, Swinburne University of Technology, Hawthorn, VIC. 3122, Australia
Viewed
Total article views: 5,089 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Sep 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,058 | 1,835 | 196 | 5,089 | 232 | 246 |
- HTML: 3,058
- PDF: 1,835
- XML: 196
- Total: 5,089
- BibTeX: 232
- EndNote: 246
Total article views: 4,415 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Jun 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,769 | 1,473 | 173 | 4,415 | 214 | 235 |
- HTML: 2,769
- PDF: 1,473
- XML: 173
- Total: 4,415
- BibTeX: 214
- EndNote: 235
Total article views: 674 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Sep 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 289 | 362 | 23 | 674 | 18 | 11 |
- HTML: 289
- PDF: 362
- XML: 23
- Total: 674
- BibTeX: 18
- EndNote: 11
Cited
34 citations as recorded by crossref.
- Highly directionally spread, overturning breaking waves modelled with Smoothed Particle Hydrodynamics: A case study involving the Draupner wave T. Kanehira et al. https://doi.org/10.1016/j.ocemod.2021.101822
- Ensemble-Based Variational Method for Nonlinear Inversion of Surface Gravity Waves W. Fujimoto & T. Waseda https://doi.org/10.1175/JTECH-D-19-0072.1
- Combination of HOSM and FORM for extreme wave-induced response prediction of a ship in nonlinear waves T. Takami et al. https://doi.org/10.1016/j.oceaneng.2023.115643
- Analysis of Dangerous Sea States in the Northwestern Mediterranean Area A. Innocenti et al. https://doi.org/10.3390/jmse9040422
- Impact of the four-wave quasi-resonance on freak wave shapes in the ocean W. Fujimoto et al. https://doi.org/10.1007/s10236-018-1234-9
- Wind Generated Rogue Waves in an Annular Wave Flume A. Toffoli et al. https://doi.org/10.1103/PhysRevLett.118.144503
- Lifetimes of Rogue Wave Events in Direct Numerical Simulations of Deep-Water Irregular Sea Waves A. Kokorina & A. Slunyaev https://doi.org/10.3390/fluids4020070
- Observations of Rogue Seas in the Southern Ocean A. Toffoli et al. https://doi.org/10.1103/PhysRevLett.132.154101
- Crossing sea state and rogue wave probability during the Prestige accident K. Trulsen et al. https://doi.org/10.1002/2015JC011161
- Rogue waves in the sea: observations, physics, and mathematics A. Slunyaev et al. https://doi.org/10.3367/UFNe.2021.08.039038
- High waves measured during tropical cyclones in the coastal waters of India V. Kumar & A. Anusree https://doi.org/10.1016/j.oceaneng.2023.116124
- Extreme wave events and sampling variability E. Bitner-Gregersen et al. https://doi.org/10.1007/s10236-020-01422-z
- Data-driven, high resolution ocean wave forecasting and extreme wave predictions T. Breunung & B. Balachandran https://doi.org/10.1016/j.oceaneng.2022.113271
- Rogue waves: a unique approach to multidisciplinary physics S. Residori et al. https://doi.org/10.1080/00107514.2016.1243351
- The Rayleigh-Haring-Tayfun distribution of wave heights in deep water S. Mendes & A. Scotti https://doi.org/10.1016/j.apor.2021.102739
- Uncertainties in long-term wave modelling E. Bitner-Gregersen et al. https://doi.org/10.1016/j.marstruc.2022.103217
- Study on the Effect of Climate Change on Ship Responses Based on Nonlinear Simulations B. Guo et al. https://doi.org/10.1115/1.4042182
- Account of Occasional Wave Breaking in Numerical Simulations of Irregular Water Waves in the Focus of the Rogue Wave Problem A. Slunyaev & A. Kokorina https://doi.org/10.1007/s42286-019-00014-9
- Directional Coherent Wave Group From an Assimilated Non-linear Wavefield T. Waseda et al. https://doi.org/10.3389/fphy.2021.622303
- Comparison and assessment of three wave hindcasts in the North Atlantic Ocean R. Campos & C. Guedes Soares https://doi.org/10.1080/1755876X.2016.1200249
- Wave crest height distribution during the tropical cyclone period V. Kumar et al. https://doi.org/10.1016/j.oceaneng.2019.106899
- Are Rogue Waves Really Unexpected? F. Fedele https://doi.org/10.1175/JPO-D-15-0137.1
- Rogue events in spatiotemporal numerical simulations of unidirectional waves in basins of different depth A. Slunyaev et al. https://doi.org/10.1007/s11069-016-2430-x
- Development of waves under explosive cyclones in the Northwestern Pacific Y. Kita et al. https://doi.org/10.1007/s10236-018-1195-z
- Real world ocean rogue waves explained without the modulational instability F. Fedele et al. https://doi.org/10.1038/srep27715
- Rapid phase-resolved prediction of nonlinear dispersive waves using machine learning F. Mohaghegh et al. https://doi.org/10.1016/j.apor.2021.102920
- Sea state conditions for marine structures' analysis and model tests E. Bitner-Gregersen et al. https://doi.org/10.1016/j.oceaneng.2016.03.024
- Variations in short-term statistics of waves observed in the coastal waters of the eastern Arabian Sea A. Anusree & V. Kumar https://doi.org/10.1016/j.oceaneng.2023.114824
- Offshore Wind Farms under Freak Wave Loading P. Staubach et al. https://doi.org/10.1061/JGGEFK.GTENG-14110
- Making Rogue Waves with Wind and Water M. Schirber https://doi.org/10.1103/Physics.10.37
- The statistics of wave height and crest elevation during the December 2012 storm in the North Sea R. Gibson et al. https://doi.org/10.1007/s10236-014-0750-5
- On the physical constraints for the exceeding probability of deep water rogue waves S. Mendes et al. https://doi.org/10.1016/j.apor.2020.102402
- Predicting the occurrence of rogue waves in the presence of opposing currents with a high-order spectral method G. Ducrozet et al. https://doi.org/10.1103/PhysRevFluids.6.064803
- Analysis of meteorological and oceanic conditions during freak wave events in the Indian Ocean S. Majumder et al. https://doi.org/10.1016/j.oceaneng.2022.111920
34 citations as recorded by crossref.
- Highly directionally spread, overturning breaking waves modelled with Smoothed Particle Hydrodynamics: A case study involving the Draupner wave T. Kanehira et al. https://doi.org/10.1016/j.ocemod.2021.101822
- Ensemble-Based Variational Method for Nonlinear Inversion of Surface Gravity Waves W. Fujimoto & T. Waseda https://doi.org/10.1175/JTECH-D-19-0072.1
- Combination of HOSM and FORM for extreme wave-induced response prediction of a ship in nonlinear waves T. Takami et al. https://doi.org/10.1016/j.oceaneng.2023.115643
- Analysis of Dangerous Sea States in the Northwestern Mediterranean Area A. Innocenti et al. https://doi.org/10.3390/jmse9040422
- Impact of the four-wave quasi-resonance on freak wave shapes in the ocean W. Fujimoto et al. https://doi.org/10.1007/s10236-018-1234-9
- Wind Generated Rogue Waves in an Annular Wave Flume A. Toffoli et al. https://doi.org/10.1103/PhysRevLett.118.144503
- Lifetimes of Rogue Wave Events in Direct Numerical Simulations of Deep-Water Irregular Sea Waves A. Kokorina & A. Slunyaev https://doi.org/10.3390/fluids4020070
- Observations of Rogue Seas in the Southern Ocean A. Toffoli et al. https://doi.org/10.1103/PhysRevLett.132.154101
- Crossing sea state and rogue wave probability during the Prestige accident K. Trulsen et al. https://doi.org/10.1002/2015JC011161
- Rogue waves in the sea: observations, physics, and mathematics A. Slunyaev et al. https://doi.org/10.3367/UFNe.2021.08.039038
- High waves measured during tropical cyclones in the coastal waters of India V. Kumar & A. Anusree https://doi.org/10.1016/j.oceaneng.2023.116124
- Extreme wave events and sampling variability E. Bitner-Gregersen et al. https://doi.org/10.1007/s10236-020-01422-z
- Data-driven, high resolution ocean wave forecasting and extreme wave predictions T. Breunung & B. Balachandran https://doi.org/10.1016/j.oceaneng.2022.113271
- Rogue waves: a unique approach to multidisciplinary physics S. Residori et al. https://doi.org/10.1080/00107514.2016.1243351
- The Rayleigh-Haring-Tayfun distribution of wave heights in deep water S. Mendes & A. Scotti https://doi.org/10.1016/j.apor.2021.102739
- Uncertainties in long-term wave modelling E. Bitner-Gregersen et al. https://doi.org/10.1016/j.marstruc.2022.103217
- Study on the Effect of Climate Change on Ship Responses Based on Nonlinear Simulations B. Guo et al. https://doi.org/10.1115/1.4042182
- Account of Occasional Wave Breaking in Numerical Simulations of Irregular Water Waves in the Focus of the Rogue Wave Problem A. Slunyaev & A. Kokorina https://doi.org/10.1007/s42286-019-00014-9
- Directional Coherent Wave Group From an Assimilated Non-linear Wavefield T. Waseda et al. https://doi.org/10.3389/fphy.2021.622303
- Comparison and assessment of three wave hindcasts in the North Atlantic Ocean R. Campos & C. Guedes Soares https://doi.org/10.1080/1755876X.2016.1200249
- Wave crest height distribution during the tropical cyclone period V. Kumar et al. https://doi.org/10.1016/j.oceaneng.2019.106899
- Are Rogue Waves Really Unexpected? F. Fedele https://doi.org/10.1175/JPO-D-15-0137.1
- Rogue events in spatiotemporal numerical simulations of unidirectional waves in basins of different depth A. Slunyaev et al. https://doi.org/10.1007/s11069-016-2430-x
- Development of waves under explosive cyclones in the Northwestern Pacific Y. Kita et al. https://doi.org/10.1007/s10236-018-1195-z
- Real world ocean rogue waves explained without the modulational instability F. Fedele et al. https://doi.org/10.1038/srep27715
- Rapid phase-resolved prediction of nonlinear dispersive waves using machine learning F. Mohaghegh et al. https://doi.org/10.1016/j.apor.2021.102920
- Sea state conditions for marine structures' analysis and model tests E. Bitner-Gregersen et al. https://doi.org/10.1016/j.oceaneng.2016.03.024
- Variations in short-term statistics of waves observed in the coastal waters of the eastern Arabian Sea A. Anusree & V. Kumar https://doi.org/10.1016/j.oceaneng.2023.114824
- Offshore Wind Farms under Freak Wave Loading P. Staubach et al. https://doi.org/10.1061/JGGEFK.GTENG-14110
- Making Rogue Waves with Wind and Water M. Schirber https://doi.org/10.1103/Physics.10.37
- The statistics of wave height and crest elevation during the December 2012 storm in the North Sea R. Gibson et al. https://doi.org/10.1007/s10236-014-0750-5
- On the physical constraints for the exceeding probability of deep water rogue waves S. Mendes et al. https://doi.org/10.1016/j.apor.2020.102402
- Predicting the occurrence of rogue waves in the presence of opposing currents with a high-order spectral method G. Ducrozet et al. https://doi.org/10.1103/PhysRevFluids.6.064803
- Analysis of meteorological and oceanic conditions during freak wave events in the Indian Ocean S. Majumder et al. https://doi.org/10.1016/j.oceaneng.2022.111920
Saved (final revised paper)
Latest update: 31 Jul 2026
Special issue
Altmetrics
Final-revised paper
Preprint