Performance Characteristics of Newly Developed Real-Time Wave Measurement Buoy Using the Variometric Approach
Accurate measurement of ocean wave parameters is critical for applications including ocean modeling, coastal engineering, and disaster management. This article introduces a novel global navigation satellite system (GNSS) drifting buoy for surface wave measurements that addresses the challenges of performing real-time, high-precision measurements and realizing cost-effective large-scale deployment. Unlike traditional approaches, this buoy uses the kinematic extension of the variometric approach for displacement analysis stand-alone engine (Kin-VADASE) velocity measurement method, thus eliminating the need for additional high-precision measurement units and an expensive complement of satellite orbital products. Through testing in the South China Sea and Laoshan Bay, the results showed good consistency in significant wave height and main wave direction between the novel buoy and a Datawell DWR-G4, even under mild wind and wave conditions. However, wave mean period disparities were observed partially because of sampling frequency differences. To validate this idea, we used Joint North Sea Wave Project (Jonswap) spectral waves as input signals, the bias characteristics of the mean periods of the spectral calculations were compared under conditions of identical input signals and gradient-distributed wind speeds. Results showed an average difference of 0.28 s between the sampling frequencies of 1.28 Hz and 5 Hz. The consequence that high-frequency signals have considerable effects on the mean wave period calculations indicates the necessity of the buoy’s high-frequency operation mode. This GNSS drifting buoy offers a cost-effective, globally deployable solution for ocean wave measurement. Its potential for large-scale networked ocean wave observation makes it a valuable oceanic research and monitoring instrument.
Authors
- Xue Chen (ORCID: https://orcid.org/0000-0002-0108-9962)
- Jie Li (ORCID: https://orcid.org/0000-0001-5865-3440)
- Yanfeng Wang
- Jingsong Guo
- Shumin Jiang
- Yanliang Guo
Institutions
- Ministry of Natural Resources (CN)
- First Institute of Oceanography (CN)
- Marine Biology Institute of Shandong Province (CN)
- Ocean University of China (CN)
- Hainan Tropical Ocean University (CN)
Publication Details
- Journal
- Journal of Marine Science and Engineering
- Published
- 2024-11-10
- DOI
- https://doi.org/10.3390/jmse12112032
- Citations
- 1
- Primary Topic
- Ocean Waves and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.48
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China