Study on the bivariate distribution characteristics of extreme wave height and wave direction under different weather systems

Significant wave height and wave direction are key parameters in ocean dynamics. Investigating their bivariate distribution characteristics under extreme conditions caused by different weather systems is of great significance for practical applications in ocean engineering. The present study analyzes these characteristics in the southern Yellow Sea and the northern East China Sea. Due to the clear trajectory records, extreme waves driven by tropical cyclones are identified through trajectory tracking and time matching. Due to the significant characteristics of the atmospheric circulation pattern, extreme waves driven by other weather systems are identified by the K-means clustering method. The results show that two types of extreme waves are derived, and the weather pattern characteristics indicate that their driving weather systems are cold surges and extratropical cyclones. By analyzing the temporal and directional characteristics of these waves, significant distribution differences are detected, confirming the rationality and necessity of the classification. For instance, the bivariate distribution characteristics of extreme wave height and wave direction under different weather systems may vary significantly. The main direction sector of extreme waves driven by the same weather system in the study region [e.g., the sector (240°–330°) of extreme waves driven by cold surges] can be derived, providing powerful support for the directional protection of ocean engineering.

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Publication Details

Journal
Physics of Fluids
Published
2025-08-01
DOI
https://doi.org/10.1063/5.0281361
Primary Topic
Ocean Waves and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00

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article

Study on the bivariate distribution characteristics of extreme wave height and wave direction under different weather systems

Zhuxiao Shao, Bingchen Liang, Huijun Gao, Jiaqian Li
Physics of Fluids
Ocean Waves and Remote Sensing
article

Study on the bivariate distribution characteristics of extreme wave height and wave direction under different weather systems

Zhuxiao Shao, Bingchen Liang, Huijun Gao, Jiaqian Li
article en

Abstract

Significant wave height and wave direction are key parameters in ocean dynamics. Investigating their bivariate distribution characteristics under extreme conditions caused by different weather systems is of great significance for practical applications in ocean engineering. The present study analyzes these characteristics in the southern Yellow Sea and the northern East China Sea. Due to the clear trajectory records, extreme waves driven by tropical cyclones are identified through trajectory tracking and time matching. Due to the significant characteristics of the atmospheric circulation pattern, extreme waves driven by other weather systems are identified by the K-means clustering method. The results show that two types of extreme waves are derived, and the weather pattern characteristics indicate that their driving weather systems are cold surges and extratropical cyclones. By analyzing the temporal and directional characteristics of these waves, significant distribution differences are detected, confirming the rationality and necessity of the classification. For instance, the bivariate distribution characteristics of extreme wave height and wave direction under different weather systems may vary significantly. The main direction sector of extreme waves driven by the same weather system in the study region [e.g., the sector (240°–330°) of extreme waves driven by cold surges] can be derived, providing powerful support for the directional protection of ocean engineering.

Physics of FluidsVol. 37(8)
National Natural Science Foundation of China
Openalex Percentile: Top 78%
Ocean Waves and Remote Sensing
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