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The estimation of thermosphere state variables based on coupled thermosphere and ionosphere data assimilation
He JianHui1,2,3,4; Yue XinAn1,2,3,4
2020-07-01
Source PublicationCHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
ISSN0001-5733
Volume63Issue:7Pages:2497-2505
AbstractIn 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.
KeywordIonosphere Ensemble Kalman filter Data assimilation Prediction Thermosphere parameters optimization
DOI10.6038/cjg2020N0267
WOS KeywordENSEMBLE KALMAN FILTER ; SPECIFICATION ; MODEL
Language英语
WOS Research AreaGeochemistry & Geophysics
WOS SubjectGeochemistry & Geophysics
WOS IDWOS:000550583600001
PublisherSCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/97568
Collection地球与行星物理院重点实验室
Corresponding AuthorYue XinAn
Affiliation1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
3.Chinese Acad Sci, Inst Geol & Geophys, Beijing Natl Observ Space Environm, Beijing 100029, Peoples R China
4.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
First Author AffilicationInstitute of Geology and Geophysics, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Geology and Geophysics, Chinese Academy of Sciences
Recommended Citation
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.
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