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Alternative TitleTIEGCM Ensemble Kalman Filter Assimilation Model Design and Preliminary Results
张亚楠; 吴小成; 胡雄
Source Publication空间科学学报
Keyword电离层 数据同化 集合卡尔曼滤波 同时同化
Other AbstractBy using the parameterized ionosphere model TIEGCM as the background model, and based on the COSMIC observations, the global ionospheric electron density assimilation model is established using ensemble Kalman filter. Result shows that this model can effectively assimilate the observations into background model and acquire three-dimensional ionospheric electron density. By comparison to the background, the error between analysis and observations decreases significantly. The Root Mean Square Error (RMSE) of N_mF_2 decreases by about 60% for observations with assimilation, and 20% for observations without assimilation. The RMSE of h_mF_2 does not get improvement except for mean error. The results of Simultaneous Assimilation (SA) and Batches Assimilation (BA) are compared for this case. The time that the two methods spend in assimilation is about 6 to 7 minutes, which does not differ very much. SA needs nearly 8 GB storage while BA needs less than 2 GB. The statistic of electron density error shows that they nearly acquire the same mean error, but the SA gets relative better improvement in RMSE above 250 km height.
Indexed ByCSCD
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Document Type期刊论文
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GB/T 7714
张亚楠,吴小成,胡雄. TIEGCM集合卡尔曼滤波同化模型设计及初步试验[J]. 空间科学学报,2017,37(2):168-176.
APA 张亚楠,吴小成,&胡雄.(2017).TIEGCM集合卡尔曼滤波同化模型设计及初步试验.空间科学学报,37(2),168-176.
MLA 张亚楠,et al."TIEGCM集合卡尔曼滤波同化模型设计及初步试验".空间科学学报 37.2(2017):168-176.
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