The estimation of thermosphere state variables based on coupled thermosphere and ionosphere data assimilation
文献类型：期刊论文
| 作者 | He JianHui1,2,3,4; Yue XinAn1,2,3,4 |
| 刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
 |
| 出版日期 | 2020-07-01 |
| 卷号 | 63期号:7页码:2497-2505 |
| 关键词 | Ionosphere Ensemble Kalman filter Data assimilation Prediction Thermosphere parameters optimization |
| ISSN号 | 0001-5733 |
| DOI | 10.6038/cjg2020N0267 |
| 英文摘要 | In this paper, an efficient ensemble Kalman filter (EnKF) algorithm and the National Center for Atmospheric Research Thermosphere-Ionosphere-Electrodynamics General Circulation Model (NCAR-TIEGCM) are used to develop the ensemble Kalman filter data assimilation system. Based on the realistic observational configurations of space-based and ground-based global navigation satellite system (GNSS) ionospheric slant total electron content (TEC) observations and Challenging Minisatellite Payload (CHAMP) and Thermosphere-Ionosphere-Mesosphere Energetics and Dynamics/Global Ultraviolet Imager (TIMED/GUVI) thermosphere measurements, we designed a series of observing system simulation experiments (OSSEs) to evaluate the performance of the system. We found that : (1) The parameters of the thermosphere can be optimized by assimilating ionospheric slant TEC via EnKF algorithm. (2) The performance of neutral mass density optimization is substantial in the whole assimilation stage, and the percentage of improvement can be up to 40%. (3) The integrated O/N-2 ratio (Sigma[O/N-2]) can be also optimized well during the assimilation period, but the effect becomes worse in the region where the horizontal gradient of electron density changes dramatically. Finally, the prediction of neutral mass density is evaluated. The results show that the prediction time scale can be up to 24 hours under the condition of geomagnetic quiet due to the optimization of neutral compositions. |
| WOS关键词 | ENSEMBLE KALMAN FILTER ; SPECIFICATION ; MODEL |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:000550583600001 |
| 出版者 | SCIENCE PRESS |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/97568]  |
| 专题 | 地质与地球物理研究所_中国科学院地球与行星物理重点实验室 |
| 通讯作者 | Yue XinAn |
| 作者单位 | 1.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Inst Geol & Geophys, Beijing Natl Observ Space Environm, Beijing 100029, Peoples R China 3.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | He JianHui,Yue XinAn. The estimation of thermosphere state variables based on coupled thermosphere and ionosphere data assimilation[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2020,63(7):2497-2505. |
| APA | He JianHui,&Yue XinAn.(2020).The estimation of thermosphere state variables based on coupled thermosphere and ionosphere data assimilation.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,63(7),2497-2505. |
| MLA | He JianHui,et al."The estimation of thermosphere state variables based on coupled thermosphere and ionosphere data assimilation".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 63.7(2020):2497-2505. |
入库方式： OAI收割
来源：地质与地球物理研究所
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