Testing a Model of Wind-Driven Waves in a Low-Energy Environment with High Spatial Resolution Data.
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| Title: | Testing a Model of Wind-Driven Waves in a Low-Energy Environment with High Spatial Resolution Data. |
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| Authors: | Baghbani, Ramin1 (AUTHOR), Linhoss, Anna2 (AUTHOR) alinhoss@auburn.edu, Osorio, Raúl J.2 (AUTHOR) |
| Source: | Journal of Coastal Research. 2025, Vol. 41 Issue 4, p690-700. 11p. |
| Subjects: | Wind waves, Ocean waves, Spatial resolution, Wind speed, Lakes |
| Abstract: | Baghbani, R.; Linhoss, A., and Osorio, R.J., 2025. Testing a model of wind-driven waves in a low-energy environment with high spatial resolution data. Journal of Coastal Research, 41(4), 690–700. Charlotte (North Carolina), ISSN 0749-0208. Numerical models offer a convenient tool for understanding wind-driven ocean waves owing to their grounding in mechanistic processes and representing uninterrupted spatial and temporal coverage. However, currently no numerical models are designed to simulate waves in low-energy systems with wave frequencies <1 Hz. It is critical to have numerical models capable of simulating low-energy systems to be able to understand wave dynamics in enclosed and semi-enclosed systems such as bays and lakes. Hence, this study assesses the efficacy of a numerical wind-generated wave model in a low-energy system, a setting outside of its intended use. A comprehensive dataset with high spatial resolution is used to robustly test the model. Simulating Waves Nearshore (SWAN) software was used to simulate wave climates, including significant wave height, mean wave period, and peak wave period. Wind speed, wind direction, and a bathymetric mesh were used as input data. Twenty-two wave gauges measured wave parameters throughout the study area over 5 days. Average measured significant wave height (Hs) was 0.04 m, average measured period was 0.79 seconds, and average peak period was 2.85 seconds. Modeled and measured results were compared. Results of this study show that the model was able to simulate spatially averaged values of significant wave height and mean wave period. The model consistently underestimated measured peak wave period. The model was not able to accurately simulate specific areas of high or low significant wave height or mean wave period within the study area. These findings are used to make recommendations for future model applications in low-energy environments. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Coastal Research is the property of KnowledgeWorks Global, Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 186646326 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Testing a Model of Wind-Driven Waves in a Low-Energy Environment with High Spatial Resolution Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Baghbani%2C+Ramin%22">Baghbani, Ramin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Linhoss%2C+Anna%22">Linhoss, Anna</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> alinhoss@auburn.edu</i><br /><searchLink fieldCode="AR" term="%22Osorio%2C+Raúl+J%2E%22">Osorio, Raúl J.</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Coastal+Research%22">Journal of Coastal Research</searchLink>. 2025, Vol. 41 Issue 4, p690-700. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Wind+waves%22">Wind waves</searchLink><br /><searchLink fieldCode="DE" term="%22Ocean+waves%22">Ocean waves</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+resolution%22">Spatial resolution</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink><br /><searchLink fieldCode="DE" term="%22Lakes%22">Lakes</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Baghbani, R.; Linhoss, A., and Osorio, R.J., 2025. Testing a model of wind-driven waves in a low-energy environment with high spatial resolution data. Journal of Coastal Research, 41(4), 690–700. Charlotte (North Carolina), ISSN 0749-0208. Numerical models offer a convenient tool for understanding wind-driven ocean waves owing to their grounding in mechanistic processes and representing uninterrupted spatial and temporal coverage. However, currently no numerical models are designed to simulate waves in low-energy systems with wave frequencies <1 Hz. It is critical to have numerical models capable of simulating low-energy systems to be able to understand wave dynamics in enclosed and semi-enclosed systems such as bays and lakes. Hence, this study assesses the efficacy of a numerical wind-generated wave model in a low-energy system, a setting outside of its intended use. A comprehensive dataset with high spatial resolution is used to robustly test the model. Simulating Waves Nearshore (SWAN) software was used to simulate wave climates, including significant wave height, mean wave period, and peak wave period. Wind speed, wind direction, and a bathymetric mesh were used as input data. Twenty-two wave gauges measured wave parameters throughout the study area over 5 days. Average measured significant wave height (Hs) was 0.04 m, average measured period was 0.79 seconds, and average peak period was 2.85 seconds. Modeled and measured results were compared. Results of this study show that the model was able to simulate spatially averaged values of significant wave height and mean wave period. The model consistently underestimated measured peak wave period. The model was not able to accurately simulate specific areas of high or low significant wave height or mean wave period within the study area. These findings are used to make recommendations for future model applications in low-energy environments. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Coastal Research is the property of KnowledgeWorks Global, Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2112/JCOASTRES-D-24-00033.1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 690 Subjects: – SubjectFull: Wind waves Type: general – SubjectFull: Ocean waves Type: general – SubjectFull: Spatial resolution Type: general – SubjectFull: Wind speed Type: general – SubjectFull: Lakes Type: general Titles: – TitleFull: Testing a Model of Wind-Driven Waves in a Low-Energy Environment with High Spatial Resolution Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Baghbani, Ramin – PersonEntity: Name: NameFull: Linhoss, Anna – PersonEntity: Name: NameFull: Osorio, Raúl J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 07490208 Numbering: – Type: volume Value: 41 – Type: issue Value: 4 Titles: – TitleFull: Journal of Coastal Research Type: main |
| ResultId | 1 |
