Comparison of retrieving methods of ocean wave periods from satellite altimeter with buoy measurements

Sun Qun; Song Jinbao

doi:10.1007/BF02842768

Your Location：

Home >

Browse articles >

Comparison of retrieving methods of ocean wave periods from satellite altimeter with buoy measurements

Updated：2023-05-16

- Comparison of retrieving methods of ocean wave periods from satellite altimeter with buoy measurements
- Journal of Oceanology and Limnology Vol. 24, Issue 1, Pages: 6-11(2006)
- Affiliations：
  
  Institute of Oceanology Chinese Academy of Sciences
- Author bio：
- Funds：
- DOI：10.1007/BF02842768
  CLC：
- Published：2006
- Accepted：
Scan QR Code
Qun, S., Jinbao, S. Comparison of retrieving methods of ocean wave periods from satellite altimeter with buoy measurements., Chin. J. Ocean. Limnol. 24, 6–11 (2006). https://doi.org/10.1007/BF02842768
DOI：

Qun, S., Jinbao, S. Comparison of retrieving methods of ocean wave periods from satellite altimeter with buoy measurements., Chin. J. Ocean. Limnol. 24, 6–11 (2006). https://doi.org/10.1007/BF02842768 DOI：

摘要

Abstract

For validating the results of retrieved mean wave period

four empirical algorithms established previously are introduced. Based on the data of over five years derived from TOPEX satellite altimeter for the entire East China Sea

ocean wave periods were calculated and statistical comparison among them was performed. The retrieved mean wave period obtained with our new distribution parameters showed better agreement with the wave periodT B measured by buoy than that calculated by other three algorithms. The difference between the mean values of and that ofT B is 0.16 s and the RMSE (root mean square error) of is the lowest value (0.48).

关键词

Keywords

references

Caires, S., A. Sterl and C. P. Gommeninger, 2005. Global ocean mean wave period data: Validation and description.J. Geophys. Res. 110: C02003.

Gommenginger, C. P., M. A. Srokosz and P. G. Challenor, 2003. Measuring ocean wave period with satellite altimeters: A simple empirical model.Geophysical Research Letters 30(22): OCE 2.

Hasselmann, K., D. B. Ross, P. Miller and W. Selll, 1976. A parametric wave prediction model.J. Phys. Oceanogr. 6: 200–228.

Hwang, P. A., W. J. Teague and G. A. Jacobs, 1998. A statistical comparison of wind speed, wave height and wave period derived from satellite altimeters and ocean buoys in the Gulf of Mexico region.J. Geophys. Res. 103(C5): 10 451–10 468.

Jackson, F. C., W. T. Walton and D. E. Hines, 1992. Sea surface mean square slope from Ku-band backscatter data.J. Geophys. Res. 97: 11 411–11 427.

Longuet-Higgins, M. S., 1957. The statistical analysis of a random moving surface.Phil. Trans. Roy. Soc. London A 249(966): 321–387.

Sarkar, A., R. Kumar and M. Mohan, 1998. Estimation of ocean wave periods by spaceborne altimeters.Indian Journal of Marine Sciences 27: 43–45.

Sun, Q., J. B. Song and X. G. Chen, 2005. The analysis of the characteristics of the wind and wave fields over the East China Sea by using TOPEX satellite altimeter data. (accepted byMarine Sciences) (in Chinese)

Toba, Y., 1978. Stochastic form of the growth of wind waves in a single-parameter representation with physical interpretation.J. Phys. Oceanogr. 8: 494–507.

Wen, S. and Z. W. Yu, 1984. Ocean wave theory and computation principle. Beijing: Science Press, p 200. (in Chinese)

World Meteorological Organization (WMO), 1988. Guide to wave analysis and forecasting. No. 702, p22.

Zhao, D. L. and Y. Toba, 2003. A spectral approach for determining altimeter wind speed model functions.Journal of Oceanography 59: 235–244.

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Applicability evaluation of ERA5 wind and wave reanalysis data in the South China Sea

Analysis on monthly-averaged distribution of sea surface wind and wave over the seas southeast of Asia using ERS-2 scatterometer data

Unveiling three-dimensional sea surface signatures caused by internal solitary waves: insights from the surface water ocean topography mission

Experimental study on the variation of optical remote sensing imaging characteristics of internal solitary waves with wind speed

Research on Unsteady Characteristics ofUnderwater Supersonic Gas Jet

Related Author

Rongwei ZHAI

Caijing HUANG

Wei YANG

Ling TANG

Wenjing ZHANG

Zhao Xixi

Hou Yijun

Li Mingkui

Related Institution

South China Sea Marine Surveying and Technology Center, State Ocean Administration

Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources

South China Sea Information Center of State Oceanic Administration

Graduate School of the Chinese Academy of Sciences

Key Laboratory of Ocean Observation and Forecasting, Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences

Address：Editorial Office of JOL, 88 Haijun Rd. Qingdao, 266000, China
Tel：+86-532-82898754 Email：jol@qdio.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰