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利用资料同化方法优化观测系统的空间布局:以泰国湾为例
引用本文:史军强,尹训强,乔方利.利用资料同化方法优化观测系统的空间布局:以泰国湾为例[J].海洋学报,2018,40(2):14-29.
作者姓名:史军强  尹训强  乔方利
作者单位:1.中国海洋大学 海洋与大气学院, 山东 青岛 266100;国家海洋局第一海洋研究所, 山东 青岛 266061;青岛海洋科学与技术国家实验室 区域海洋动力学与数值模拟功能实验室, 山东 青岛 266237
基金项目:中国-东盟海上合作基金项目"东南亚海洋环境预报与灾害预警系统建设";国家自然科学基金委员会-山东省人民政府联合资助海洋科学研究中心项目(U1606405);青岛海洋科学与技术国家实验室重大科研专项"海洋与气候系统数值模拟平台建设关键技术"(2016ASKJ16)
摘    要:海洋观测费用高昂,设计科学高效的观测系统可以充分发挥观测的效能。本文以泰国湾高频地波雷达观测系统为例,利用数据同化方法对观测系统进行了最优布局。首先基于FVCOM海洋数值模式建立了泰国湾海域高分辨率三维斜压水动力模式,在此基础上利用一种改进的高效集合卡曼滤波同化方法对岸基高频地波雷达表层海流观测系统开展观测效能评估数值实验。通过观测区域的不同组合方式将3个区域的雷达表层海流数据同化到数值模式中,实验结果表明,岸基高频地波雷达表层海流观测系统可有效降低高分辨数值模式的海流模拟误差。但不同观测区域的组合提供的观测数据对改善海流模拟的作用存在明显差别,泰国湾现有观测系统雷达站位布设方式应进一步优化。本文最后给出了研究区域最优观测站位的布局方案,可作为下一步观测系统进行布局调整的指导。

关 键 词:观测系统优化设计    泰国湾    高频地波雷达
收稿时间:2017/2/13 0:00:00

Optimizing the spatial ocean observation system based on data assimilation assessment: the Gulf of Thailand as an example
Shi Junqiang,Yin Xunqiang and Qiao Fangli.Optimizing the spatial ocean observation system based on data assimilation assessment: the Gulf of Thailand as an example[J].Acta Oceanologica Sinica (in Chinese),2018,40(2):14-29.
Authors:Shi Junqiang  Yin Xunqiang and Qiao Fangli
Institution:College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China;The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China,The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China and The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China;Key Laboratory of Marine Sciences and Numerical Modeling, State Oceanic Administration, Qingdao 266061, China
Abstract:The cost for ocean observation system is very high, and the scientific design of observation system can make it effective. Taking the high frequency radar system of the Gulf of Thailand as an example, we established a three-dimensional ocean circulation model using FVCOM. A series of evaluation numerical experiments were carried out to assess the performance of the existing observational radar system. The simulated surface current data in three observation regions were assimilated by means of various combinations using an efficient ensemble Kalman filter data assimilation method. The experimental results showed that the coastal surface current observation system plays a quite positive role in improving the current simulation in the whole domain, although the observation only covers small parts of this area. The existing observation system is helpful for ocean circulation simulation and forecast. However, the improvement effect for three observation regions was quite different, which means the current observation system is not effective and need to be optimized. In addition, this study used the ensemble transform Kalman filter optimal observation scheme to explore the ideal deployment of observational stations, which could be a useful guidance for future re-design of this observation system.
Keywords:optimizing oceanic observation system  Gulf of Thailand  high frequency radar
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