| 集合滤波和三维变分混合数据同化方法研究 |
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| 引用本文： | 吴新荣,韩桂军,李冬,李威.集合滤波和三维变分混合数据同化方法研究[J].热带海洋学报,2011(6). |
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| 作者姓名： | 吴新荣 韩桂军 李冬 李威 |
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| 作者单位： | 中国科学院南海海洋研究所;国家海洋信息中心;中国科学院研究生院; |
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| 基金项目： | 国家重点基础研究发展计划项目(2007CB816001); 国家自然科学基金项目(40776016) |
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| 摘 要： | 发展了一种新的混合数据同化方法——基于集合滤波和三维变分的混合数据同化方法。该方法将集合调整卡尔曼滤波(ensemble adjustment Kalman filter,EAKF)得到的集合样本扰动通过一个转换矩阵的形式直接作用到背景场上,利用顺序滤波的思想得到分析场的一个扰动;然后在三维变分(three dimensional variational analysis,3D-Var)的框架下与观测数据进行拟合,从而给出分析场的最优估计。文中以Lorenz63模型为例,开展了理想数据同化试验,结果表明,相比于集合调整卡尔曼滤波,这种新的混合同化方法可以给出更好的同化结果。
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| 关 键 词： | 混合数据同化方法 集合调整卡尔曼滤波 三维变分 |
A hybrid ensemble filter and 3D variational analysis scheme |
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| WU Xin-rong,,HAN Gui-jun,LI Dong,LI Wei .South China Sea Institute of Oceanology,CAS,Guangzhou ,China,.National Marine Data , Information Service,Tianjin ,.Graduate University of CAS,Beijing.A hybrid ensemble filter and 3D variational analysis scheme[J].Journal of Tropical Oceanography,2011(6). |
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| Authors: | WU Xin-rong HAN Gui-jun LI Dong LI Wei South China Sea Institute of Oceanology CAS Guangzhou China National Marine Data Information Service Tianjin Graduate University of CAS Beijing |
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| Institution: | WU Xin-rong1,2,3,HAN Gui-jun2,LI Dong2,LI Wei2 1.South China Sea Institute of Oceanology,CAS,Guangzhou 510301,China,2.National Marine Data and Information Service,Tianjin 300171,3.Graduate University of CAS,Beijing 100049 |
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| Abstract: | A new hybrid data assimilation scheme based on ensemble adjustment Kalman filter(EAKF) and three-dimensional variational(3D-Var) analysis is developed.In this assimilation scheme,the perturbation of ensemble from EAKF is applied to the background field by using a transformation matrix,thus the perturbation of the analysis field can be obtained by taking advantage of a sequential filter,which will then be optimized by being combined with observations under the framework of 3D-Var.The data assimilation experi... |
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| Keywords: | hybrid data assimilation scheme ensemble adjustment Kalman filter 3D-Var |
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