The nonlinear interaction process in the wave assimilation model and its experiments

Yang Yongzeng; Ji Yonggang; Yuan Yeli

doi:10.1007/BF02842757

Your Location：

Home >

Browse articles >

The nonlinear interaction process in the wave assimilation model and its experiments

Updated：2023-05-16

- The nonlinear interaction process in the wave assimilation model and its experiments
- Journal of Oceanology and Limnology Vol. 21, Issue 1, Pages: 18-26(2003)
- Affiliations：
  
  1. First Institute of Oceanography State Oceanic Administration
  2. Key Laboratory of Marine Science and Numerical Modeling State Oceanic Administration
  3. Institute of Oceanology Chinese Academy of Sciences
  4. Ocean University of Qingdao
- Author bio：
- Funds：
- DOI：10.1007/BF02842757
  CLC：
- Published：2003
- Accepted：
Scan QR Code
Yongzeng, Y., Yonggang, J. & Yeli, Y. The nonlinear interaction process in the wave assimilation model and its experiments., Chin. J. Ocean. Limnol. 21, 18–26 (2003). https://doi.org/10.1007/BF02842757
DOI：

Yongzeng, Y., Yonggang, J. & Yeli, Y. The nonlinear interaction process in the wave assimilation model and its experiments., Chin. J. Ocean. Limnol. 21, 18–26 (2003). https://doi.org/10.1007/BF02842757 DOI：

摘要

Abstract

This paper presents a composite interaction formula based on the discrete-interaction operator of wave-wave nonlinear interaction for deriving its adjoint source function in the wave assimilation model. Assimilation experiments were performed using the significant wave heights observed by the TOPES/POSEIDON satellite

and the gradient distribution in the physical space was also analyzed preliminarily.

关键词

Keywords

references

Bauer, E., Hasselmann, K., Young, I. R. et al., 1996. Assimilation of wave data into the wave model WAM using an impulse response function method.J. Geophys. Res. 101: 3801–3816.

Bauer, E., Hasselmann, S., Hasselmann, K. et al., 1992. Validation and assimilation of Seasat altimeter wave heights using the WAM Wave Model,J. Geophys. Res. 97: 12671–12682.

de las Heras, M., Janssen, P. A. E. M., 1992. Data assimilation with a coupled wind-wave model.J. Geophys. Res. 97: 20261–20270.

Hasselmann, K., Bruning, C., Hasselmann, S. et al., 1996. An improved algorithm for the retrieval of ocean wave spectra from synthetic aperture radar image spectra.J. Geophys. Res. 101: 16615–16629.

Hasselmann, S., Hasselmann, K., 1985. Computations and parameterizations of the nonlinear energy transfer in a gravity-wave spectrum, Part II.J. phys. Oceanogr. 15: 1378–1391.

Hasselmann, S., Lionello, P., Hasselmann, K., 1997. An optimal interpolation scheme for the assimilation of spectral wave data.J. Geophys. Res. 102: 15823–15836.

Hersbach, H., 1998. Application of the adjoint of the WAM model to inverse wave modeling.J. Geophys. Res. 103: 10469–10487.

Lionello, P., Gunther, H., Janssen, P. A. E. M., 1992. Assimilation of altimeter data in a global third-generation wave model.J. Geophys. Res. 97: 14453–14474.

Pennenko, V. V., Obraztsov, N. N. A., 1976. Variational initialization method for the fields of the meteorological elements (English translation),Soviet Meteorol. Hydrol. 11: 1–11.

Sasaki, Y., 1970. Some basic formalisms in numerical variational analysis.Mon. Weather Rev. 98: 875–883.

Talagrand, O., Courtier, P., 1987. Variational assimilation of meteorological observations with the adjoint vorticity equation I: Theory.Q. J. R. Meteorol. Soc. 113: 1311–1328.

Thomas, J. P., 1988. Retrieval of energy spectra from measured data for assimilation into a wave model.Q. J. R. Meteorol. Soc. 114: 781–800.

Thompson, P. D., 1969. Reduction of analysis error through constraints of dynamical consistency,J. Appl. Meteorol. 8: 738–742.

Yang Yongzeng, Qiao Fangli, Pan Zengdi, 2000. Wave assimilation and numerical prediction,Chin. J. Oceanol. Limnol. 18(4): 301–308.

Yuan Yeli, Hua Feng, Pan Zengdi et al., 1991a. LAGFD-WAM numerical wave model—I. Basic physical model.Acta Oceanologica Sinica 10: 483–488.

Yuan Yeli, Pan Zengdi, Hua Feng et al., 1991b. LAGFD-WAM numerical wave model—II. Characteristics inlaid scheme and its application.Acta Oceanologica Sinica 11: 13–23.

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Wave assimilation and numerical prediction

A temporal sliding procedure for ocean wave variational data assimilation and its application

Research on Unsteady Characteristics ofUnderwater Supersonic Gas Jet

Studies on Distribution Characteristics of CurrentDensity on Anode Wall of Ion Thruster

Influence of Structural Parameters of Diversion Cone on Smooth Effect of Gas Ejection Bottom Pressure Impact

Related Author

Yang Yong-zeng

Qiao Fang-li

Pan Zeng-di

Yang Yongzeng

Zhao Wei

Teng Yong

Related Institution

First Institute of Oceanography SOA

Key Laboratory of Marine Science and Numerical Modeling SOA

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