卫星高度计波高资料的同化试验分析

张志旭; 齐义泉; 施平; 李志伟; 李毓湘

卫星高度计波高资料的同化试验分析

1.
中国科学院, 南海海洋研究所LED实验室, 广东, 广州, 510301
2.
香港理工大学, 香港

基金项目: 国家自然科学基金资助项目(49976006);中国科学院创新工程资助项目(KZCX2-202);广东省基金资助项目(990314).

计量
- 文章访问数: 760
- HTML全文浏览量: 4
- PDF下载量: 1288
- 被引次数: 0
出版历程
- 收稿日期: 2002-10-09
- 修回日期: 2003-05-06

Preliminary study on assimilation of significant wave heights from T/P altimeter

1.
LED, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
2.
Department of Civil & Structural Engineering, the Hong Kong Polytechnic University, Hong Kong, China

摘要

摘要: 结合经验的台风风场模型和NCEP再分析资料构造了南海台风风场,并以此作为一个第三代海浪模式的输入模拟了1999年约克(York)台风经过南海时所产生的台风浪场.模拟结果显示,尽管文中构造的南海台风风场比较接近真实的风场,但模拟出的台风浪场相对于TOPEX/Poseidon高度计的观测波高仍有一定差异,因此进而采用了一种简单的最优插值同化方法,开展了波高资料的初步同化试验.试验结果显示,资料同化显著地改进了海浪模式的(后)预报精度,而这种改进在涌浪区更加显著,同化有效维持时间大约是43h.
- 台风浪 /
- 数值模拟 /
- 高度计 /
- 同化
Abstract: Combining the NCEP re-analysis wind data with an empirical typhoon wind model,the wind fields are formed and compared with the TOPEX/Poseidon altimetric wind speeds,there is generally consistency between them.The wind fields are used to drive a third-generation wind wave model to simulate the wave fields in the South China Sea during the period of Typhoon York in 1999.The significant wave heights from the wave model are under estimated while compared with the TOPEX/Poseidon altimetric data.Then,a simple optimal interpo lation assimilation technology is employed in the wave model,the result shows that the performance of the wave model is improved and its impact of assimilation is obvious especially in the swell part.The lasting time of the assimilation is about 43 h.
- typhoon waves /
- numerical simulation /
- altimeter /
- assimilation

HTML全文

参考文献(18)

GELCI R, CAZALE H, VASAL J. Prevision de la boule. La methode des densites spectroangularires[J]. Bull Inform Comite Contral Oceanogr, D'Etude Cotes, 1957, 9: 416-435.

LIU P C, SCHWAB D J,JENSEN R E. Has wind-wave modeling reached its limit?[J]. Ocean Engineering, 2002, 29(1):81-98.

KOMEN G J. 1985 Introduction to wave models and assimilation of satellite data in wave models[A]. The Use of Satellite Data in Climate Models: Proc Alpbach Conference[C]. ESA. SP 244: ESA Publ, 1985.21-26.

THOMAS J. Retrieval of energy spectra from measured data for assimilation into a wave model[J]. Q J R Meteoral Soc,1988, 114: 781-800.

HASSELMANN K, HASSELMANN S, BAUER E, et al. Development of a satellite SAR image spectra and altimeter wave height data assimilation system for ER-1. ESA Report[R]. Hamburg: Max-Planck-Institute fur Meteorologie, Nr. 19,1988. 155.

BAUER E, HASSELMANN S, HASSELMANN K. Validation and assimilation of Seasat altimeter wave heights using the WAM wave model[J]. J Geophys Res, 1992, 97:12 671-12 682.

JANSSEN P A E M, LIONELLO P, FEISTAD M, et al. Hindcasts and data assimilation studies with the WAM model during the Seasat period[J]. J Geophys Res, 1992, 94: 973-993.

LIONELLO P, GUNTHER H, JANSSEN P A E M. Assimilation of altimeter data in a global third-generation wave model[J].J Geophys Res, 1992, 97:14 453-14 474.

ESTEVA D C. Evaluation of preliminary experiments assimilating Seasat significant wave heights into a spectral wave model[J]. J Geophys Res, 1988, 93:14 099-13 106.

BAUER E, HASSELMANN K, YOUNG I R, et al-Assimilation of wave data into the wave model WAM using an impulse response function method[J]. J Geophys Res, 1996, 101:3 801-3 816.

VALK DE, CALKOEN C J. Wave Data assimilation in a Third-generation Wave Prediction Model for the North Sea[R].Delft, Netherlands: Delft Hydraul, Lab, 1989.

De las HERAS M M. JANSSEN P A E M. Data assimilation with a coupled wind-wave model[J]. J Geophys Res, 1992,97:20 261-20 270.

HERBACH H. Application of the adjoint of the WAM model to inverse wave modeling[J]. J Geophys Res, 1998, 103:10 469-10 487.

LI C W, MAO M. Spectral modeling of typhoon-generated waves in shallow waters[J]. Journal of Hydraulic Research,1992, 30(5): 611-622.

LI C W. A split operator scheme for ocean wave simulation[J]. International Journal for Numerical Methods in fluids,1992, 15: 579-593.

HOLLAND G J. An analytic model of the wind and pressure profiles in hurricanes[J]. Mon Wea Rev, 1980, 108:421-427.

CARR Ⅲ L E, ELSBERRY L. Models of tropical cyclone wind distribution and beta-effect propagation for application to tropical cyclone track forecasting[J]. Mon Wea Rev, 1997, 125:3 190-3 209.

CALLAHAN P S, MORRIS C S, HSIAO S V. Comparison of TOPEX/POSEIDON sigma-0 and significant wave height distributions to Geosat[J]. J Geophys Res, 1994, 99: 25 015-25 024.

施引文献

资源附件(0)

访问统计