| 基于集合同化方法的南海北部最优观测实验 |
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| 引用本文： | 叶冬,王瑞文.基于集合同化方法的南海北部最优观测实验[J].海洋通报,2011,30(3):252-257. |
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| 作者姓名： | 叶冬 王瑞文 |
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| 作者单位： | 1. 中国科学院大气物理研究所,北京100029;中国科学院研究生院,北京100049
2. 国家气象局国家气象中心,北京,100081 |
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| 摘 要： | 根据集合同化理论及最优观测方法,应用基于ROMS模式的南海北部区域模拟结果作为集合样本,对该区域的最优观测廓线以及最优观测航次进行了评估和选择.最优观测方法是一种不需要直接同化观测,而通过最小化分析场误差方差理论值来选择最优观测点的方法.最优观测方法根据卡曼滤波理论中协方差矩阵的更新方程,使用一组模式或观测得到的历史样...
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| 关 键 词： | 南海北部 最优观测 集合同化 |
| 收稿时间： | 2011/2/18 0:00:00 |
| 修稿时间： | 3/8/2011 12:00:00 AM |
Optimal observation experiment in the northern South China Sea based
on the ensemble assimilation method |
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| YE Dong and WANG Rui-wen.Optimal observation experiment in the northern South China Sea based
on the ensemble assimilation method[J].Marine Science Bulletin,2011,30(3):252-257. |
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| Authors: | YE Dong and WANG Rui-wen |
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| Institution: | 1. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;National Meteorological Center of China Meteorological Administration, Beijing 100081, China |
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| Abstract: | In this study, we attempt to estimate and select the optimal observation profiles and observation tracks over the northern South China Sea, using an ensemble Kalman filter based optimized observational scheme and a ROMS regional ocean model for northern part of South China-Sea. Kalman-Filter-based optimal observation scheme is a Bayesian method, which improves observation locations by minimizing the expectation of the root mean square deviation (RMSD) of the analysis field. In another word, this method will minimize the expectation of the uncertainty of the analysis field after assimilating the observations in the selected locations. In this method, only observation locations are required to construct the observation operator, without using the real-time value of each observation. A group of historical snapshots of the model result are served as background ensembles. This method uses the covariance matrix uploading equation in the Kalman-filter theory, to minimize the RMSD of analysis filed. The optimal observation method combines the observation locations with the simulation system, in order to optimize the observation locations and observation strategy before it was conducted. This method can significantly increase the observation efficiency. In this study, the optimal method was used in South China Sea. First, we used the optimal method to select a group of observation locations (profiles) in the northern part of South China Sea. These observation profiles mainly distributed in the areas with high variability and very strong ocean currents. In addition, we used this method to select the best observation tracks. We found that the tracks mainly located around Shantou, Shanwei and the Taiwan shallow shoal. |
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| Keywords: | Northern South China Sea optimal observation ensemble assimilation |
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