Affiliation:
1. State Key Laboratory of Tropical Oceanography, Key Laboratory of Science and Technology on Operational Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 511458, China
2. Sanya Institute of Ocean Eco-Environmental Engineering, Sanya 572025, China
Abstract
The wave spectrometer operated by the China–France Oceanography Satellite (CFOSAT) can provide global ocean wave observation data. Although a lot of work on calibration and verification has been carried out in the open oceans dominated by swells, the quality of the data in the relatively enclosed sea area with complex terrain still lacks sufficient examination. The objective of this study is to assess the performance of the significant wave height data of the CFOSAT in the South China Sea (SCS), a unique sea area characterized by semi-enclosed basin and multi-reef terrain, and to recognize the environmental factors affecting the data quality. Compared against the long-term observations from five mooring or buoy sites, we find that the data is well performed in the relatively open and deep areas of the SCS, with an average correlation coefficient as high as 0.87, and a low average root-mean-square error of 0.47 m. However, the combined effects of complex topography, monsoons, and swell proportion variation will affect the performance of data. In the southern deep areas, the waves may be affected by a large number of dotted reefs, leading to wave deformations and energy dissipation in different seasons. In the northern nearshore areas, waves tend to be sheltered by the land or distorted by the shallow topography effects. These processes make it difficult for the swell to fully develop as in the open oceans. The low proportion of swell is a disadvantage for the CFOSAT to correctly observe the wave data and may lead to possible errors. Our results emphasize the importance of more verification when applying the CFOSAT data in certain local seas, and the necessity to adjust the algorithm of inverting wave spectra according to specific environmental factors.
Subject
General Earth and Planetary Sciences
Reference43 articles.
1. Tison, C., and Hauser, D. (2023, February 02). SWIM Products Users Guide: Product Description and Algorithm Theoretical Baseline Description. Available online: https://www.aviso.altimetry.fr/fileadmin/documents/data/tools/SWIM_ProductUserGuide.pdf.
2. Hauser, D., Tourain, C., and Hermozo, L. (2023, February 02). Report on the SWIM cal/val at the End of the Verification Phase. Available online: https://www.aviso.altimetry.fr/fileadmin/user_upload/SWIM_CalvalReport_compressed.pdf.
3. New observations from the SWIM radar on-board CFOSAT: Instrument validation and ocean wave measurement assessment;Hauser;IEEE Trans. Geosci. Remote,2021
4. Acquisition of the significant wave height from CFOSAT SWIM spectra through a deep neural network and its impact on wave model assimilation;Wang;J. Geophys. Res. Oceans,2021
5. The wide swath significant wave height: An innovative reconstruction of significant wave heights from CFOSAT’s SWIM and scatterometer using deep learning;Wang;Geophys. Res. Lett.,2021
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献