Directional analysis and potential for spectral modelling of infragravity waves
In this paper; we interrogated wave data collected by US Army Corps of Engineers at their well-known Field Research Facility, Duck, North Carolina and SHELL Corporation at Lagos, Nigeria. Both measurements were designed to collect wind waves with a conventional wave sampling configuration and not a...
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Online Access: | http://hdl.handle.net/1959.3/437462 https://doi.org/10.1115/OMAE2016-54282 |
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ftswinburne:tle:ee99943a-b931-4e4d-a03b-5c758fe78427:28f49f06-0da8-44be-9edc-ad1dd0a9c582:1 2023-05-15T14:24:17+02:00 Directional analysis and potential for spectral modelling of infragravity waves Nose, Takehiko Babanin, Alexander Ewans, Kevin Swinburne University of Technology 2016 http://hdl.handle.net/1959.3/437462 https://doi.org/10.1115/OMAE2016-54282 unknown ASME http://hdl.handle.net/1959.3/437462 https://doi.org/10.1115/OMAE2016-54282 Copyright © 2016 by ASME. Proceedings of the 35th ASME International Conference on Ocean, Offshore and Arctic Engineering (OMAE2016), Busan, South Korea, 19-24 June 2016, Vol. 7, article no. OMAE2016-54282 V007T06A091 Conference paper 2016 ftswinburne https://doi.org/10.1115/OMAE2016-54282 2019-09-07T20:58:24Z In this paper; we interrogated wave data collected by US Army Corps of Engineers at their well-known Field Research Facility, Duck, North Carolina and SHELL Corporation at Lagos, Nigeria. Both measurements were designed to collect wind waves with a conventional wave sampling configuration and not a dedicated infragravity wave sampling regime. Here, we developed a new approach to obtain directional information of and explored the potential to model infragravity waves in the spectral domain. It was found that infragravity wave heights had a strong dynamic relationship with an inverse relative depth parameter and that directional spreadings were moderately correlated with wind wave spreadings and wave energy. Further, infragravity directional spreadings were typically broader compared to their wind wave directional spreading counterparts. Conference Object Arctic Swinburne University of Technology: Swinburne Research Bank Volume 7: Ocean Engineering |
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Swinburne University of Technology: Swinburne Research Bank |
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In this paper; we interrogated wave data collected by US Army Corps of Engineers at their well-known Field Research Facility, Duck, North Carolina and SHELL Corporation at Lagos, Nigeria. Both measurements were designed to collect wind waves with a conventional wave sampling configuration and not a dedicated infragravity wave sampling regime. Here, we developed a new approach to obtain directional information of and explored the potential to model infragravity waves in the spectral domain. It was found that infragravity wave heights had a strong dynamic relationship with an inverse relative depth parameter and that directional spreadings were moderately correlated with wind wave spreadings and wave energy. Further, infragravity directional spreadings were typically broader compared to their wind wave directional spreading counterparts. |
author2 |
Swinburne University of Technology |
format |
Conference Object |
author |
Nose, Takehiko Babanin, Alexander Ewans, Kevin |
spellingShingle |
Nose, Takehiko Babanin, Alexander Ewans, Kevin Directional analysis and potential for spectral modelling of infragravity waves |
author_facet |
Nose, Takehiko Babanin, Alexander Ewans, Kevin |
author_sort |
Nose, Takehiko |
title |
Directional analysis and potential for spectral modelling of infragravity waves |
title_short |
Directional analysis and potential for spectral modelling of infragravity waves |
title_full |
Directional analysis and potential for spectral modelling of infragravity waves |
title_fullStr |
Directional analysis and potential for spectral modelling of infragravity waves |
title_full_unstemmed |
Directional analysis and potential for spectral modelling of infragravity waves |
title_sort |
directional analysis and potential for spectral modelling of infragravity waves |
publisher |
ASME |
publishDate |
2016 |
url |
http://hdl.handle.net/1959.3/437462 https://doi.org/10.1115/OMAE2016-54282 |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Proceedings of the 35th ASME International Conference on Ocean, Offshore and Arctic Engineering (OMAE2016), Busan, South Korea, 19-24 June 2016, Vol. 7, article no. OMAE2016-54282 V007T06A091 |
op_relation |
http://hdl.handle.net/1959.3/437462 https://doi.org/10.1115/OMAE2016-54282 |
op_rights |
Copyright © 2016 by ASME. |
op_doi |
https://doi.org/10.1115/OMAE2016-54282 |
container_title |
Volume 7: Ocean Engineering |
_version_ |
1766296718655094784 |