Global ionospheric electron density estimation based on multisource TEC data assimilation

doi:10.1007/s10291-016-0580-7

CORC > 地质与地球物理研究所 > 中国科学院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

	Global ionospheric electron density estimation based on multisource TEC data assimilation
	She, Chengli 1,2,3; Wan, Weixing 1,2; Yue, Xinan 1,2; Xiong, Bo 4; Yu, You 1,2; Ding, Feng 1,2; Zhao, Biqiang 1,2
刊名	GPS SOLUTIONS
	2017-07-01
卷号	21 期号:3 页码:1125-1137
关键词	Global positioning system (GPS) Total electron content (TEC) Electron density International Reference Ionosphere (IRI) Data reanalysis
ISSN号	1080-5370
DOI	10.1007/s10291-016-0580-7
文献子类	Article
英文摘要	We developed a parameterized ionospheric electron density model based on the IRI-2012 model by spherical harmonic expansions in the horizontal and empirical orthogonal functions in the vertical. Then, after assimilating the monthly multisource total electron content (TEC) data from ground-based GPS, LEO radio occultation (RO), and the oceanic altimeter during magnetically quiet time into the model, we reanalyzed the monthly global ionospheric electron density TEC and other key parameters such as foF2 and NmF2. Both the reanalyzed and IRI-2012 model results were compared to the TEC measurements, the monthly median foF2 in a middle-latitude ionosonde station, and the global TEC map from CODE. The comparisons showed that both the reanalyzed and IRI results are consistent with those observations and the reanalyzed results perform better than the IRI model. Furthermore, the reanalyzed results are also consistent with the retrieved maps of HmF2, NmF2, and TEC from COSMIC RO observations. In summary, our method can reanalyze the global TEC and electron density using multisource TEC data assimilated into our model and improve the performance of IRI model.
WOS关键词	GPS ; MISSION ; MAPS
WOS研究方向	Remote Sensing
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000403949500026
资助机构	National Natural Science Foundation of China(41131066 ; China Postdoctoral Science Foundation(2015T80130) ; Specialized Research Fund for State Key Laboratories ; National Important Basic Research Project(2011CB811405) ; Chinese Academy of Sciences(KZZD-EW-01-2) ; 41321003 ; 41404127 ; 41404128) ; National Natural Science Foundation of China(41131066 ; China Postdoctoral Science Foundation(2015T80130) ; Specialized Research Fund for State Key Laboratories ; National Important Basic Research Project(2011CB811405) ; Chinese Academy of Sciences(KZZD-EW-01-2) ; 41321003 ; 41404127 ; 41404128) ; National Natural Science Foundation of China(41131066 ; China Postdoctoral Science Foundation(2015T80130) ; Specialized Research Fund for State Key Laboratories ; National Important Basic Research Project(2011CB811405) ; Chinese Academy of Sciences(KZZD-EW-01-2) ; 41321003 ; 41404127 ; 41404128) ; National Natural Science Foundation of China(41131066 ; China Postdoctoral Science Foundation(2015T80130) ; Specialized Research Fund for State Key Laboratories ; National Important Basic Research Project(2011CB811405) ; Chinese Academy of Sciences(KZZD-EW-01-2) ; 41321003 ; 41404127 ; 41404128)
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/49281]
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	Wan, Weixing
作者单位	1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, 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, Beijing 100049, Peoples R China 4.North China Elect Power Univ, Sch Math & Phys, Baoding 071003, Peoples R China
推荐引用方式 GB/T 7714	She, Chengli,Wan, Weixing,Yue, Xinan,et al. Global ionospheric electron density estimation based on multisource TEC data assimilation[J]. GPS SOLUTIONS,2017,21(3):1125-1137.
APA	She, Chengli.,Wan, Weixing.,Yue, Xinan.,Xiong, Bo.,Yu, You.,...&Zhao, Biqiang.(2017).Global ionospheric electron density estimation based on multisource TEC data assimilation.GPS SOLUTIONS,21(3),1125-1137.
MLA	She, Chengli,et al."Global ionospheric electron density estimation based on multisource TEC data assimilation".GPS SOLUTIONS 21.3(2017):1125-1137.