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The analysis of assumptions' error sources on assimilating ground-based/spaceborne ionospheric observations
Fu, Naifeng1,2,3; Guo, Peng2,3; Chen, Yanling2; Wu, Mengjie2; Huang, Yong2,3; Hu, Xiaogong2; Hong, Zhenjie1
2020-10-01
Source PublicationJOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS
ISSN1364-6826
Volume207Pages:8
AbstractIn this paper, GNSS ionospheric observations from ground-based and spaceborne systems were simulated, and the global 3D ionospheric density field was reconstructed by Kalman-Filter algorithm. Various errors and influences in the assimilation of the ionospheric data were analyzed, and corresponding improvement methods were proposed, which were verified from the following two aspects based on simulation analysis: 1. From the statistics of slant total electron content(TEC): (a) the influence of the shell with altitude between 800 km and 20000 km was 20(similar to)30%, and could be reduced by the two-step assimilation method; (b) the influence of ionospheric time variations could reach (similar to)10%, and was reduced to (similar to)5% by the correction proposed in this paper; (c) the influence of the ionospheric grid representation was (similar to)2.5%, and was reduced to 0.9% by the method of the bilinear interpolation at intercept midpoint. The three errors mentioned above are called assumptions' error, for they always be ignored or deduced by theoretical assumptions. 2. The results of electron density reconstruction showed algorithm with assumptions errors corrections was better than origin one, which confirmed the effectiveness of the correction algorithms to the assumptions errors. And it was also showed that the Kalman filter assimilation algorithm was better than the Abel-Retrieved method, especially in ionospheric F2 region, for there is no ionospheric symmetric assumption.
KeywordData assimilation GNSS COSMIC Electron density Radio occultation
Funding OrganizationNational Science Foundation of China ; National Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; National Science Foundation of China ; National Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; National Science Foundation of China ; National Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; National Science Foundation of China ; National Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation
DOI10.1016/j.jastp.2020.105354
WOS KeywordELECTRON-DENSITY ; TOMOGRAPHY ; MODEL ; GNSS ; TEC
Language英语
Funding ProjectNational Science Foundation of China[U1831116] ; National Science Foundation of China[11903064] ; Shanghai Natural Science Foundation[17ZR1435700]
Funding OrganizationNational Science Foundation of China ; National Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; National Science Foundation of China ; National Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; National Science Foundation of China ; National Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; National Science Foundation of China ; National Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation
WOS Research AreaGeochemistry & Geophysics ; Meteorology & Atmospheric Sciences
WOS SubjectGeochemistry & Geophysics ; Meteorology & Atmospheric Sciences
WOS IDWOS:000557761900011
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/82352
Collection中国科学院国家天文台
Corresponding AuthorGuo, Peng
Affiliation1.Wenzhou Univ, Coll Math, Phys & Elect Informat Engn, Wenzhou 325000, Peoples R China
2.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Fu, Naifeng,Guo, Peng,Chen, Yanling,et al. The analysis of assumptions' error sources on assimilating ground-based/spaceborne ionospheric observations[J]. JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS,2020,207:8.
APA Fu, Naifeng.,Guo, Peng.,Chen, Yanling.,Wu, Mengjie.,Huang, Yong.,...&Hong, Zhenjie.(2020).The analysis of assumptions' error sources on assimilating ground-based/spaceborne ionospheric observations.JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS,207,8.
MLA Fu, Naifeng,et al."The analysis of assumptions' error sources on assimilating ground-based/spaceborne ionospheric observations".JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS 207(2020):8.
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