GNSS-R信号测量海面有效波高的应用*

doi:10.11978/j.issn.1009-5470.2012.06.006

Journal of Tropical Oceanography ›› 2012, Vol. 31 ›› Issue (6): 36-40.doi: 10.11978/j.issn.1009-5470.2012.06.006cstr: 32234.14.j.issn.1009-5470.2012.06.006

• Marine hydrology • Previous Articles Next Articles

Application of significant wave height measurement using GNSS-R signals

YIN Cong1, CAO Yun-chang2, ZHU Bin1, LI Ming-li3, WU Hong-jia3, L? Wei-hua4, ZHAN Guo-wei4

1. Nanjing University of Information Science and Technology, Nanjing 210044, China; 2. Meteorological Observation Center of China Meteorological Administration, Beijing 100081, China; 3. Beijing University of Aeronautics and Astronautics, Beijing 100191, China; 4. Maoming Meteorological Bureau, Maoming 525000, China

Received:2011-07-15 Revised:2012-03-29 Online:2012-12-01 Published:2013-02-06

Abstract

Abstract: Global Navigation Satellite System (GNSS) reflection signals could be used for sea-state sounding, for instance, the significant wave height. This paper introduced the observation equipment and the technical principle about the significant wave height sounding by GNSS reflected signals. By analyzing the data from Bohe experiment during 2009, we confirmed that the significant wave height was related to the significant coherence time of the interferometric complex field. An inversion formula was obtained by fitting the prophase data, and the results were compared with the data from Wave Monitoring System. The average deviation is 0.136 m with the relative standard deviations of 12.02%, and the root-mean-square error is 0.169 m.

Key words: Global Navigation Satellite System (GNSS), reflection signal, significant wave height (SWH)

CLC Number:

P731

YIN Cong, CAO Yun-chang, ZHU Bin, LI Ming-li, WU Hong-jia, L? Wei-hua, ZHAN Guo-wei. Application of significant wave height measurement using GNSS-R signals[J].Journal of Tropical Oceanography, 2012, 31(6): 36-40.

[1]	LYU Hongke, GONG Yuanfa, WANG Guihua. A linear Markov model for the forecast of sea surface salinity in the Indian Ocean and its improvement method [J]. Journal of Tropical Oceanography, 2022, 41(6): 151-158.
[2]	XIE Jieshuo, GONG Yankun, NIU Jianwei, HE Yinghui, CHEN Zhiwu, XU Jiexin, CAI Shuqu. Spatial-temporal variations of the dynamic parameters of internal solitary waves in the Sulu-Celebes Sea [J]. Journal of Tropical Oceanography, 2022, 41(6): 132-142.
[3]	LIU Shuang, JING Zhiyou, ZHAN Haigang. Predicting the mesoscale eddy in the tropical and subtropical ocean based on generative adversarial network model [J]. Journal of Tropical Oceanography, 2022, 41(5): 1-16.
[4]	XU Jie, GUO Jibing, CHEN Zhiqiang, ZHU Zhihui, WANG Qin, TANG Yanling. Comparative study on the contribution of various influential factors and characteristics analysis of an extra-tropical storm surge caused by cold front in the Yangshan Port and its adjacent area [J]. Journal of Tropical Oceanography, 2022, 41(4): 126-135.
[5]	ZENG Yigang, JING Zhiyou, HUANG Xiaolong, ZHENG Ruixi. Analysis of the dynamic characteristics of the east Guangdong shelf front in the northern South China Sea in summer [J]. Journal of Tropical Oceanography, 2022, 41(4): 136-145.
[6]	LI Weihua, LI Jiufa, ZHANG Wenxiang. Research progress in the continuous measurement technology of suspended sediment concentration [J]. Journal of Tropical Oceanography, 2022, 41(4): 20-30.
[7]	SONG Jiacheng, QI Hongshuai, ZHANG Chi, CAI Feng, YIN Hang. Analysis of energy dissipation process of wave propagation in beach foreshore under the influence of tide [J]. Journal of Tropical Oceanography, 2022, 41(4): 146-153.
[8]	NIE Wangchen, WANG Xidong, CHEN Zhiqiang, HE Zikang, FAN Kaigui. Research and application of global three-dimensional thermohaline reconstruction technology based on neural network [J]. Journal of Tropical Oceanography, 2022, 41(2): 1-15.
[9]	MA Yuting, CAI Huayang, YANG Hao, LIU Feng, CHEN Ou, XIE Rongyao, OU Suying, YANG Qingshu. Evolution of water level profile dynamics in the Modaomen estuary of the Pearl River and its responses to human activities* [J]. Journal of Tropical Oceanography, 2022, 41(2): 52-64.
[10]	SUN Fenglin. Disaster loss assessment of storm surge based on Dempster-Shafer theory of evidence [J]. Journal of Tropical Oceanography, 2022, 41(1): 75-81.
[11]	LI Yang, HUANG Pengqi, LU Yuanzheng, QU Ling, GUO Shuangxi, CEN Xianrong, ZHOU Shengqi, ZHANG Jiazheng, QIU Xuelin. Bottom turbulent mixing of continental slope - deep sea basin in northeastern South China Sea based on high-resolution temperature observation [J]. Journal of Tropical Oceanography, 2022, 41(1): 62-74.
[12]	ZHANG Xu, JING Zhiyou, ZHENG Ruixi, HUANG Xiaolong, CAO Haijin. Submesoscale characteristics of a typical anticyclonic mesoscale eddy in Kuroshio Extension^* [J]. Journal of Tropical Oceanography, 2021, 40(6): 31-40.
[13]	HE Zikang, WANG Xidong, CHEN Zhiqiang, FAN Kaigui. Reconstructing salinity profile using temperature profile and sea surface salinity [J]. Journal of Tropical Oceanography, 2021, 40(6): 41-51.
[14]	YANG Xiaoxiao, CAO Haijin, JING Zhiyou. Spatial and seasonal differences of the upper-ocean submesoscale processes in the South China Sea [J]. Journal of Tropical Oceanography, 2021, 40(5): 10-24.
[15]	SHEN Qianying, JI Xiaomei, ZHANG Wei, XU Yanwen. Impact of estuarine storm surge barriers on spatiotemporal variation of tidal asymmetry in a delta^* [J]. Journal of Tropical Oceanography, 2021, 40(5): 1-9.

Application of significant wave height measurement using GNSS-R signals

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0