利用回归模型模拟卫星跟踪海洋漂流浮标轨迹

doi:10.11867/j.issn.1001-8166.2005.06.0607

地球科学进展 ›› 2005, Vol. 20 ›› Issue (6): 607 -617. doi: 10.11867/j.issn.1001-8166.2005.06.0607

苏京志, 王东晓, 陈举, 杜岩, 谢强

中国科学院南海海洋研究所热带海洋环境动力学重点实验室，广东广州 510301

收稿日期:2003-11-10 修回日期:2004-10-12 出版日期:2005-06-25
通讯作者: 王东晓(1969-)，男，浙江浦江人，研究员，主要从事物理海洋研究. E-mail:dxwang@scsio.ac.cn
基金资助:
国家自然科学基金项目“南海中尺度过程时空变异特征的遥感研究”（编号：40376004）和“南海夏季越南沿岸上升流及其在区域气候变化中的地位”（编号：40476013）；国家863计划项目“面向全球海洋同化计划的南海区域系统”（编号：2002AA639250）资助.

MODELING THE TRAJECTORIES OF SATELLITE-TRACKED-DRIFTERS WITH REGRESSION MODELS

SU Jingzhi; WANG Dongxiao; CHEN Ju; DU Yan; XIE Qiang 

LED, South China Sea Institute of Oceanonolgy, Chinese Academy of Sciences, Guangzhou 510301, China

Received:2003-11-10 Revised:2004-10-12 Online:2005-06-25 Published:2005-06-25

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分析浮标漂流速度和表层地转流、风海流结果表明：浮标漂流速度和表层地转流具有良好相关性。针对卫星跟踪漂流浮标运动的准地转性，建立了以海表地转流为主要回归自变量的几种回归模型，用以模拟浮标漂流轨迹，以期对浮标运动特性有进一步的认识。对南海中伴随涡旋运动的2个浮标模拟试验显示，诸多模型中以海表地转流、风海流及背景流为自变量的回归模型模拟浮标漂流轨迹效果较好。利用该回归模型，模拟出南海2个漂流浮标轨迹和真实轨迹距离偏差较小且二者运动趋势基本一致。通过分析回归模拟所得风海流、海表地转流及背景流发现：涡旋中心附近浮标漂移主要受地转流的控制，而涡旋边缘处风海流起到关键性作用，正是这部分贡献使得浮标能够进入（脱离）涡旋。背景流的空间分布决定着浮标漂移的最终去向，特别是背景流方向改变的区域，背景流的存在使得模拟浮标轨迹能够像真实轨迹一样运移。

关键词: 漂流浮标轨迹, 回归模型, 南海, 中尺度涡旋

A dataset of two drifters in South China Sea was analyzed, together with the MSLA, Ekman drift, and mean sea surface height. It was shown that the velocity of the drifters is consistent with the geostrophic current derived from MSLA. Several regression models, with an independent variable of sea surface geostrophic current, were set up to simulate the real trajectories of drifters. Experiments on the two drifters showed that the model, with independent variables of sea surface geostrophic current, Ekman drift, and mean circulation, has the best efficiency of simulating real trajectories. The simulated trajectories match the real trajectories perfectly. By analyzing the simulated velocities, it was shown that:①In the middle of eddies, the drifter was controlled mainly by the sea surface geostrophic current;②In the edge of eddies, the Ekman drift played an important role in driving the drifter into (out of) eddies;③The mean circulation made the drifters flow correctly in some regions.

Key words: Trajectory of drifter, Regression model, Meso-scale eddy, South China sea

中图分类号:

[1] Thomson R E, LeBlond P H, Rabinovich A B. Oceanic odyssey of a satellite-tracked drifter: North Pacific variability delineated by a single drifter trajectory [J]. Journal of Oceanography, 1997, 53:81-87.
[2] Patterson S L. Surface circulation and kinetic energy distributions in the southern hemisphere oceans from FGGE drifting bouys [J]. Journal of Physical Oceanography, 1985, 15:865-883.
[3] Ishikawa Y, Awaji T, Akitomo K. Global surface circulation and its kinetic energy distribution derived from drifting buoys [J]. Journal of Oceanography, 1997, 53:489-516.
[4] Kamachi M, O'Brien J J. Continuous data assimilation of drifting buoy trajectory into an equatorial Pacific ocean model. [J]. Journal of Marine Systems, 1995, 6:159-178.
[5] Stutzer S,Krauss W. Mean circulation and transports in the South Atlantic Ocean: Combining model and drifter data [J]. Journal of Geophysical Research, 1998, 103(C13): 30 985-31 002.
[6] Mariano A J, Griffa A, Özgökmen T M, et al. Lagrangian Analysis and Predictability of Coastal and Ocean Dynamics 2000 [J]. Journal of Atmospheric and Oceanic Technology, 2002, 19(7):1 114-1 126.
[7] Mead J L, Bennett A F. Towards regional assimilation of Lagrangian data: The Lagrangian form of the shallow water model and its inverse [J]. Journal of Marine Systems, 2001, 29: 365-384.
[8] Hansen D V, Poulain P M. Quality control and interpolation of WOCE-TOGA drifter data [J]. Journal of Atmospheric and Oceanic Technology,1996, 13:900-906.
[9] Stewart R. Introduction to Physical Oceanography[EB/OL]. http://www.ocean.uni-bremen. de/EInfo/materialien/IntroPhysOc/IntroPhOcindex.html,2002.[10] Fang Guohong, Wei Zexun, Fang Yue, et al. Sea surface height and transport stream function of the China Seas from a variable-grid global ocean circulation model [J]. Science in China（D）, 2002, 32(12):969-977. [方国洪,魏泽勋,方越,等.中国近海域际水、热、盐输运:全球变网格模式结果 [J]. 中国科学D辑,2002,32(12):969-977.]
[11] Soong Y S,Hu J H, Ho C R, et al. Cold-core eddy detected in South China Sea [J]. EOS Transactions AGU,1995,76:345-347.
[12] Su Jingzhi, Lu Yun, Hou Yiyun, et al.Analysis of Satellite tracked drifting buoys in the South China Sea [J]. Oceanologia et Limnologia Sinica,2002,33(2):121-127. [苏京志,卢筠,侯一筠,等.南海表层流场的卫星跟踪浮标观测结果分析 [J].海洋与湖沼,2002,33(2): 121-127.]

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