Ocean swell, how much do we know

Swell waves are present in more than 80% of ocean seas, and provide significant adverse impact on maritime operations. Their prediction by wave-forecast models, however, is poor, both in terms of wave amplitude and, particularly, arrival time. The very definition of ocean swell is ambiguous: while i...

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Published in:Volume 3A: Structures, Safety and Reliability
Main Authors: Babanin, Alexander V., Jiang, Haoyu
Other Authors: Swinburne University of Technology
Format: Conference Object
Language:unknown
Published: American Society of Mechanical Engineers (ASME) 2017
Subjects:
Online Access:http://hdl.handle.net/1959.3/440463
https://doi.org/10.1115/OMAE2017-61692
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spelling ftswinburne:tle:a3228e0b-7197-49f9-9894-20987d4929fe:28f49f06-0da8-44be-9edc-ad1dd0a9c582:1 2023-05-15T14:24:41+02:00 Ocean swell, how much do we know Babanin, Alexander V. Jiang, Haoyu Swinburne University of Technology 2017 http://hdl.handle.net/1959.3/440463 https://doi.org/10.1115/OMAE2017-61692 unknown American Society of Mechanical Engineers (ASME) http://purl.org/au-research/grants/arc/DP130100227 http://hdl.handle.net/1959.3/440463 https://doi.org/10.1115/OMAE2017-61692 Copyright © 2017 ASME. Proceedings of the 36th ASME International Conference on Offshore Mechanics and Arctic Engineering (OMAE 2017), Trondheim; Norway, 25-30 June 2017, Vol. 3A-2017 Conference paper 2017 ftswinburne https://doi.org/10.1115/OMAE2017-61692 2019-09-07T21:30:46Z Swell waves are present in more than 80% of ocean seas, and provide significant adverse impact on maritime operations. Their prediction by wave-forecast models, however, is poor, both in terms of wave amplitude and, particularly, arrival time. The very definition of ocean swell is ambiguous: while it is usually perceived as former wind-generated waves, in fact it may reconnect with the local wind through nonlinear interactions. The paper will bring together an overview of the complex swell problem. The visible swell attenuation is driven by a number of dissipative and non-dissipative processes. The dissipative phenomena include interaction with turbulence on the water and air sides, with adverse winds or currents. Nondissipative contributions to the gradual decline of wave amplitude come from frequency dispersion, directional spreading, refraction by currents, and lateral diffraction of wave energy. The interactions with local winds/waves can, on the contrary, cause swell growth. Swell arrival time is the least understood and the most uncertain problem. Joint analysis of buoy observations and model reanalysis shows that swell can be tens of hours early or late by comparison with model predictions. Linear and nonlinear effects which can contribute to such biases are discussed. Conference Object Arctic Swinburne University of Technology: Swinburne Research Bank Volume 3A: Structures, Safety and Reliability
institution Open Polar
collection Swinburne University of Technology: Swinburne Research Bank
op_collection_id ftswinburne
language unknown
description Swell waves are present in more than 80% of ocean seas, and provide significant adverse impact on maritime operations. Their prediction by wave-forecast models, however, is poor, both in terms of wave amplitude and, particularly, arrival time. The very definition of ocean swell is ambiguous: while it is usually perceived as former wind-generated waves, in fact it may reconnect with the local wind through nonlinear interactions. The paper will bring together an overview of the complex swell problem. The visible swell attenuation is driven by a number of dissipative and non-dissipative processes. The dissipative phenomena include interaction with turbulence on the water and air sides, with adverse winds or currents. Nondissipative contributions to the gradual decline of wave amplitude come from frequency dispersion, directional spreading, refraction by currents, and lateral diffraction of wave energy. The interactions with local winds/waves can, on the contrary, cause swell growth. Swell arrival time is the least understood and the most uncertain problem. Joint analysis of buoy observations and model reanalysis shows that swell can be tens of hours early or late by comparison with model predictions. Linear and nonlinear effects which can contribute to such biases are discussed.
author2 Swinburne University of Technology
format Conference Object
author Babanin, Alexander V.
Jiang, Haoyu
spellingShingle Babanin, Alexander V.
Jiang, Haoyu
Ocean swell, how much do we know
author_facet Babanin, Alexander V.
Jiang, Haoyu
author_sort Babanin, Alexander V.
title Ocean swell, how much do we know
title_short Ocean swell, how much do we know
title_full Ocean swell, how much do we know
title_fullStr Ocean swell, how much do we know
title_full_unstemmed Ocean swell, how much do we know
title_sort ocean swell, how much do we know
publisher American Society of Mechanical Engineers (ASME)
publishDate 2017
url http://hdl.handle.net/1959.3/440463
https://doi.org/10.1115/OMAE2017-61692
genre Arctic
genre_facet Arctic
op_source Proceedings of the 36th ASME International Conference on Offshore Mechanics and Arctic Engineering (OMAE 2017), Trondheim; Norway, 25-30 June 2017, Vol. 3A-2017
op_relation http://purl.org/au-research/grants/arc/DP130100227
http://hdl.handle.net/1959.3/440463
https://doi.org/10.1115/OMAE2017-61692
op_rights Copyright © 2017 ASME.
op_doi https://doi.org/10.1115/OMAE2017-61692
container_title Volume 3A: Structures, Safety and Reliability
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