Analysis of wave characteristics in the Northern Yellow sea based on field observations

• Analyzed measured wave data from the Northern Yellow sea during march-september 2023. • Detailed wave characteristics under cold wave events, including a unique double-peaked spectrum. • Found the wave height distribution aligns with the Weibull distribution, improving model fit. • Demonstrated joint wave height-period distribution deviates from common theoretical models. • Provided insights into maritime safety improvements in high-risk wave conditions. With the increasing frequency of extreme weather events driven by global climate change, a comprehensive analysis of wave characteristics under extreme meteorological conditions is essential for improving the safety of maritime transportation. Previous research has predominantly focused on wave characteristics during typhoons, while studies on wave characteristics under frequent cold wave climates in mid- to high-latitude regions are still lacking. In this study, we used half-year wave data (March to September 2023) for the Northern Yellow Sea. We conducted a statistical analysis of wave characteristic values in this sea area and investigated the relationship between various characteristic wave heights, the mean wave height, and the significant wave height. A detailed analysis of the wave height, wave period, and wave spectrum during a typical cold wave event in April was performed to describe the wave characteristics and their variations in this area under extreme meteorological conditions. The results showed that the wave height distribution in this region exhibited a Weibull distribution, which fitted better than the Rayleigh and Gumbel distributions, especially in cases with high wave heights. The distribution of the wave period diverged as the spectral width increased, and the Sunfu and Gumbel distributions achieved better fitting under wide-spectrum conditions. The joint distribution of the wave height and period exhibited an inclined triangular pattern; however, discrepancies remained when compared with theoretical models, particularly for large wave heights and extended periods. Additionally, during cold wave events, the wave characteristics in the region exhibited a double-peaked spectrum as a result of the interaction between low-frequency swells and high-frequency wind waves. Our research results provide a reference for maritime navigation safety in this sea area.

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Publication Details

Journal
Applied Ocean Research
Published
2025-03-19
DOI
https://doi.org/10.1016/j.apor.2025.104527
Primary Topic
Ocean Waves and Remote Sensing
Type
article
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Analysis of wave characteristics in the Northern Yellow sea based on field observations

Hongyuan Shi, Chao Zhan, Zai-Jin You, Huaiyuan Xue et al.
Applied Ocean Research
Ocean Waves and Remote Sensing
article

Analysis of wave characteristics in the Northern Yellow sea based on field observations

Hongyuan Shi, Chao Zhan, Zai-Jin You, Huaiyuan Xue, Longsheng Li
article en

Abstract

• Analyzed measured wave data from the Northern Yellow sea during march-september 2023. • Detailed wave characteristics under cold wave events, including a unique double-peaked spectrum. • Found the wave height distribution aligns with the Weibull distribution, improving model fit. • Demonstrated joint wave height-period distribution deviates from common theoretical models. • Provided insights into maritime safety improvements in high-risk wave conditions. With the increasing frequency of extreme weather events driven by global climate change, a comprehensive analysis of wave characteristics under extreme meteorological conditions is essential for improving the safety of maritime transportation. Previous research has predominantly focused on wave characteristics during typhoons, while studies on wave characteristics under frequent cold wave climates in mid- to high-latitude regions are still lacking. In this study, we used half-year wave data (March to September 2023) for the Northern Yellow Sea. We conducted a statistical analysis of wave characteristic values in this sea area and investigated the relationship between various characteristic wave heights, the mean wave height, and the significant wave height. A detailed analysis of the wave height, wave period, and wave spectrum during a typical cold wave event in April was performed to describe the wave characteristics and their variations in this area under extreme meteorological conditions. The results showed that the wave height distribution in this region exhibited a Weibull distribution, which fitted better than the Rayleigh and Gumbel distributions, especially in cases with high wave heights. The distribution of the wave period diverged as the spectral width increased, and the Sunfu and Gumbel distributions achieved better fitting under wide-spectrum conditions. The joint distribution of the wave height and period exhibited an inclined triangular pattern; however, discrepancies remained when compared with theoretical models, particularly for large wave heights and extended periods. Additionally, during cold wave events, the wave characteristics in the region exhibited a double-peaked spectrum as a result of the interaction between low-frequency swells and high-frequency wind waves. Our research results provide a reference for maritime navigation safety in this sea area.

Applied Ocean ResearchVol. 158
Ludong University (CN), Dalian Maritime University (CN)
Life below water
Openalex Percentile: Top 92%
Ocean Waves and Remote Sensing
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