EGU23-5170, updated on 22 Feb 2023
https://doi.org/10.5194/egusphere-egu23-5170
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Scaling analysis of wave profiles

Yang Gao1,2, Francois Schmitt2, Jianyu Hu1,3, and Yongxiang Huang1,4
Yang Gao et al.
  • 1State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
  • 2CNRS, Univ. Lille, Univ. Littoral Cote d’Opale, UMR 8187, LOG, Laboratoire d'Océanologie et de Géosciences, F 62930 Wimereux, France
  • 3Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China
  • 4Fujian Engineering Research Center for Ocean Remote Sensing Big Data, Xiamen, Fujian, 361102, China

In the field of wind-wave interaction, scaling features for both wind and waves are often found experimentally. Several theoretical explanations of the scaling law for wind speed and sea surface wave height have been advocated, while a theoretical consideration for the significant wave height (Hs) is still lacking. In this work, we considered a long-term (more than 20 years) and high sampling frequency (about 0.78 Hz) wave profile data collected by buoys provided by Coastal Data Information Program (CDIP). The scaling features for Hs and for the absolute value of the wave profile are evident in the sense of the Fourier power spectrum. The same scaling features were obtained for frequencies below 10-4 Hz, with a scaling exponent close to 3. While the spectrum for wave profile shows a plain-like distribution under the frequency around 0.02 Hz due to the band pass filter. Furthermore, measured Hs is well overlapped with the absolute value of the wave profiles, which indicates that the amplitude modulation is still preserved after band pass filtering, and that might be the reason for the existence for the scaling features for Hs.

How to cite: Gao, Y., Schmitt, F., Hu, J., and Huang, Y.: Scaling analysis of wave profiles, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-5170, https://doi.org/10.5194/egusphere-egu23-5170, 2023.