Adaptive temporal resolution fusion method for peak significant wave height capture using multi-satellite data in large wave processes

The estimation of significant wave height (SWH), especially under extreme conditions, is crucial for the understanding of ocean dynamics and practical application in ocean engineering. In this study, the SWH field in the North Pacific Ocean is generated based on satellite altimeter data. Due to the limitations of a single satellite, such as large orbital spacing and long revisit period, multi-source satellite data are fused to obtain more wave information. The effect of the number of satellites on the fusion results shows that increasing the orbital observations can improve the fusion accuracy, especially for large wave processes. On this basis, an adaptive temporal resolution fusion method is proposed to further improve the fusion effect. This method takes into account the spatiotemporal variation of the wave field in the fusion process, especially the rapid and significant change of SWH. According to the change characteristics of normal and large waves, the temporal resolution can be adjusted flexibly and autonomously to ensure fusion efficiency and accuracy. In particular, this adaptive adjustment can significantly improve the peak underestimation of large waves. Meanwhile, the fusion influence of SWHs in large wave processes on adjacent small SWHs is reduced to avoid over-fusion. The comparison between the buoy observation and fused SWH shows that this method can be used for fusion, especially for capturing peak SWHs during large wave processes. It may allow for comprehensive monitoring and understanding of ocean waves during extreme conditions, providing important support for disaster prevention and mitigation.

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Publication Details

Journal
Physics of Fluids
Published
2024-11-01
DOI
https://doi.org/10.1063/5.0236155
Citations
3
Primary Topic
Ocean Waves and Remote Sensing
Type
article
Field-Weighted Citation Impact
1.44

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article

Adaptive temporal resolution fusion method for peak significant wave height capture using multi-satellite data in large wave processes

Zhuxiao Shao, Hongbin Yang, Bingchen Liang, Huijun Gao
3 citations
Physics of Fluids
Ocean Waves and Remote Sensing
1.44
article

Adaptive temporal resolution fusion method for peak significant wave height capture using multi-satellite data in large wave processes

Zhuxiao Shao, Hongbin Yang, Bingchen Liang, Huijun Gao
article en
3 citations

Abstract

The estimation of significant wave height (SWH), especially under extreme conditions, is crucial for the understanding of ocean dynamics and practical application in ocean engineering. In this study, the SWH field in the North Pacific Ocean is generated based on satellite altimeter data. Due to the limitations of a single satellite, such as large orbital spacing and long revisit period, multi-source satellite data are fused to obtain more wave information. The effect of the number of satellites on the fusion results shows that increasing the orbital observations can improve the fusion accuracy, especially for large wave processes. On this basis, an adaptive temporal resolution fusion method is proposed to further improve the fusion effect. This method takes into account the spatiotemporal variation of the wave field in the fusion process, especially the rapid and significant change of SWH. According to the change characteristics of normal and large waves, the temporal resolution can be adjusted flexibly and autonomously to ensure fusion efficiency and accuracy. In particular, this adaptive adjustment can significantly improve the peak underestimation of large waves. Meanwhile, the fusion influence of SWHs in large wave processes on adjacent small SWHs is reduced to avoid over-fusion. The comparison between the buoy observation and fused SWH shows that this method can be used for fusion, especially for capturing peak SWHs during large wave processes. It may allow for comprehensive monitoring and understanding of ocean waves during extreme conditions, providing important support for disaster prevention and mitigation.

Physics of FluidsVol. 36(11)
Ocean University of China (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Postdoctoral Innovation Project of Shandong Province, Key Technology Research and Development Program of Shandong
Climate action
Openalex Percentile: Top 19%
Ocean Waves and Remote Sensing
1.44
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