| 渤海、黄海、东海海流场和温度场的数值同化研究 |
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| 引用本文： | 赵骞,田纪伟,褚忠信,李丙瑞.渤海、黄海、东海海流场和温度场的数值同化研究[J].武汉理工大学学报(交通科学与工程版),2005,29(6):821-825. |
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| 作者姓名： | 赵骞 田纪伟 褚忠信 李丙瑞 |
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| 作者单位： | 1. 中国海洋大学海洋环境学院 青岛 266003
2. 中国海洋大学海洋地球科学学院 青岛 266003 |
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| 基金项目： | 国家自然科学基金项目（批准号;40106001）和国家高技术研究发展计划（批准号2004AA639830）资助 |
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| 摘 要： | 基于princeton ocean model（POM），建立了一个三维斜压同化模式并引入网格嵌套技术来模拟渤海、黄海、东海的海流场和温度场．为了提高温度模拟的精度，利用美国宇航局的高分辨率卫星遥感海面温度资料，同时引入改进的Nudging同化技术来模拟渤海、黄海、东海的温度场．模拟结果能较好地反映渤海、黄海、东海海流场和温度场的基本特征。松弛因子中的待定参数对计算稳定性和模拟精度有很大影响，当待定参数等于0．5时，同化模式的计算结果最优．夏季，秋季同化模式的计算精度较高，春季模式的计算精度较低．
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| 关 键 词： | 海流场 温度场 同化 |
| 收稿时间： | 2005-07-15 |
| 修稿时间： | 2005年7月15日 |
Numerical Simulation and Data Assimilation on the Current and Temperature Field in the Bohai Sea,Huanghai Sea and East China Sea |
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| Zhao Qian,Tian Jiwei,Chu Zhongxin,Li Bingrui.Numerical Simulation and Data Assimilation on the Current and Temperature Field in the Bohai Sea,Huanghai Sea and East China Sea[J].journal of wuhan university of technology(transportation science&engineering),2005,29(6):821-825. |
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| Authors: | Zhao Qian Tian Jiwei Chu Zhongxin Li Bingrui |
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| Institution: | 1.College of Physical and Environmental Oceanography, Ocean University of China,Qingdao 266003;2.College of Marine Geosciences,Ocean University of China,Qingdao 266003 |
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| Abstract: | Based on the POM,a three-dimensional baroclinic assimilation model is constructed and the gridnested technique is introduced to the model to simulate the current and temperature field in the Bohai Sea,Huanghai Sea and East China Sea. In order to improve the accuracy of the temperature simulation, the high resolution satellite remote sensing data SST from NASA are utilized and the improved nudging assimilation technique is introduced to simulate the three-dimensional temperature field in the Bohai Sea,Huanghai Sea and East China Sea. The characteristics of the circulation and temperature field in the Bohai Sea,Huanghai Sea and East China Sea can be showed by the result. The undetermined coefficient in the relaxation factor affects the computing stability and the simulation accuracy greatly. The assimilation result is optimal when it is 0.5. The computing accuracy is high in summer and autumn and is low in spring. |
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| Keywords: | current field temperature field assimilation |
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