GPS浮标数据反演海浪谱的理论仿真与试验验证

徐曦煜; 王振占; 叶沛; 许可

doi:10.3969/j.issn.0253-4193.2014.07.005

GPS浮标数据反演海浪谱的理论仿真与试验验证

doi: 10.3969/j.issn.0253-4193.2014.07.005

1.
中国科学院空间科学与应用研究中心微波遥感技术重点实验室, 北京 100190
2.
中国科学院空间科学与应用研究中心微波遥感技术重点实验室, 北京 100190;中国科学院大学, 北京 100039

基金项目: 中科院国家空间中心重点培育基金（Y32114FB9S）。

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出版历程
- 收稿日期: 2013-07-11
- 修回日期: 2014-04-20

Theoretic simulation and campaign validation of ocean wave spectrum retrieval from GPS buoy measurements

1.
The CAS Key Laboratory of Microwave Remote Sensing, Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing 100190, China
2.
The CAS Key Laboratory of Microwave Remote Sensing, Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100039, China

摘要

摘要:
GPS浮标作为一种新型的海洋测量设备，近年来在海面高度现场测量和星载高度计定标方面取得了重要应用。通过仿真试验对反演海浪谱的方法和流程进行研究，旨在探索从GPS浮标测量的海面高度序列中提取海浪谱的方法。首先，使用Longuest模型生成了海浪波面位移时间序列，并通过Pierson-Moscowitz风浪谱对波面位移的统计特性进行约束，其随机性由相位引入。结合典型潮汐和GPS浮标仪器噪声的仿真时间序列，合成了仿真时间长度1 h的1 Hz（每秒1次）随机海面高度序列。然后，利用自相关函数法，进行高通滤波和数据压缩，得到了仿真的海浪谱。该仿真结果和理论海浪谱非常接近，可满足海浪谱反演的需求。最后，通过山东石岛外海的GPS浮标现场试验，验证了本文提出的反演方法的适用性。本文的研究解决了GPS浮标反演海浪谱的关键问题，丰富了海浪谱反演的手段，拓展了GPS浮标的应用领域，有望为未来我国的星载波谱仪定标服务。
- GPS浮标 /
- 随机波面位移 /
- P-M谱 /
- 自相关函数 /
- 高通滤波
Abstract:
The purpose of this paper was to investigate the method of retrieving ocean wave spectrum from GPS buoy sea surface height time series. GPS buoy,an innovative instrument on ocean topography measurement,played an important role in in-situ sea level measurements and satellite altimetry calibration during past years. This paper demonstrated the method and procedure of wave spectrum retrieval by simulation experiments. Firstly,the wave surface elevation time series were generated based on the Longuest model,and the statistical characteristics were constrained by the Pierson-Moscowitz wind wave spectrum,and the randomicities were introduced from the wave phase. Along with the simulated tide height and GPS buoy instrument noise time series,the 1 Hz (one point per second) random sea surface time series of 1 hour length were synthesized. Afterward,the simulated wave power spectrum was acquired by the auto-correlation function method,containing high-pass filter and compression. The simulated spectrum was pretty close to the theoretic one,and could fulfill the requirements of ocean wave spectrum retrieval. Finally,the retrieving method presented in this paper was validated by the in-situ GPS buoy campaign in the offshore of Shidao,Shandong Province. The study in this paper solved the key issues of the new technology,enriched the approaches of ocean wave spectrum retrieval,explored the application of GPS buoy,and could be served for China's forthcoming satellite radar wavimeter.
- GPS buoy /
- random wave surface elevation /
- P-M spectrum /
- auto-correlation function /
- high-pass filter

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参考文献(16)

Enjolras V, Rey L, Cros L, et al. SWIM: A state of the art multi-incidence beams Ku-band waves scatterometer to go beyond current radar systems[C]//Geoscience and Remote Sensing Symposium, 2009 IEEE International, IGARSS 2009. IEEE, 2009, 5: V-316-V-319.

Hein G W, Blomenhofer H, Landau H, et al. Measuring sea level changes using GPS in buoys[J]. Geophysical Monograph Series, 1992, 69: 101-105.

Kelecy T M, Born G H, Parke M E, et al. Precise mean sea level measurements using the Global Positioning System[J]. Journal of Geophysical Research: Oceans (1978—2012), 1994, 99(C4): 7951-7959.

Watson C S. Satellite altimeter calibration and validation using GPS buoy technology[D]. University of Tasmania, 2005.

Bonnefond P, Exertier P, Laurain O, et al. Leveling the sea surface using a GPS-catamaran special issue: Jason-1 calibration/validation[J]. Marine Geodesy, 2003, 26(3/4): 319-334.

Vries J J, Bv D. Designing a GPS-based mini wave buoy[J]. International Ocean Systems, 2007, 11(3): 20.

Jeans G, Bellamy I, de Vries J J, et al. Sea trial of the new Datawell GPS directional Waverider[C]//Current Measurement Technology, 2003. Proceedings of the IEEE/OES Seventh Working Conference on. IEEE, 2003: 145-147.

张锁平, 齐占辉. GPS 测波技术分析与初步实验研究[J]. 海洋技术, 2010, 29(3): 14-18.

Longuet-Higgins M S, Cartwright D E, Smith N D. Observations of the directional spectrum of sea waves using the motion of a floating buoy[J]. Ocean Wave Spectra, Prentice Hall, 1963: 111-136.

林钢. 环境波浪学[M]. 北京:海洋出版社, 2011.

董胜, 孔令双. 海洋工程环境概论[M]. 青岛: 中国海洋大学出版社, 2005.

Pierson W J, Moskowitz L. A proposed spectral form for fully developed wind seas based on the similarity theory of SA Kitaigorodskii[J]. Journal of geophysical research, 1964, 69(24): 5181-5190.

徐德伦, 王莉萍. 海洋随机数据分析——原理、方法与应用[M]. 北京: 高等教育出版社, 2011.

赵建虎. 现代海洋测绘[M]. 武汉: 武汉大学出版社, 2011.

Nagai T, Ogawa H, Terada Y, et al. GPS buoy application to offshore wave, tsunami and tide observation[C]//Coastal Engineering Conference. American Society of Civil Engineers, 2004, 29(1): 1093.

庄舜钦. GPS测量近稳态船体运动推估波浪波谱[D]. 台湾: 国立成功大学, 2009.

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