3-D ionospheric tomography from dense GNSS observations based on an improved two-step iterative algorithm
文献类型：期刊论文
| 作者 | Jin, Shuanggen1,2; Li, Du3 |
| 刊名 | ADVANCES IN SPACE RESEARCH
 |
| 出版日期 | 2018-08-15 |
| 卷号 | 62期号:4页码:809-820 |
| 关键词 | Ionospheric Electron Density (Ted) Gnss Nequick 2 Mart |
| ISSN号 | 0273-1177 |
| DOI | 10.1016/j.asr.2018.05.032 |
| 英文摘要 | Computerized ionospheric tomography (CIT) can image 3-D ionospheric variations from ground Global Navigation Satellite System (GNSS) observations. However, due to the sparse and inhomogeneous ground GNSS observations, the prior information from the empirical models (e.g., IRI-2012 and NeQuick 2) have to be used, which affect the reconstructed results in the CIT, particularly the peak parameters of the F2 layer, namely foF2 and M(3000)F2. In this paper, an improved two-step CIT algorithm is developed to image the ionospheric electron density (IED) distribution up to 2000 km over Japan using dense GNSS Earth Observation Network (GEONET) observations operated by the Geospatial Information Authority (GSI) of Japan. Firstly, we update the IRI-2012 using the ground-based GNSS observations. The NeQuick-2 is used to provide the vertical ionospheric profile, and foF2 and M(3000)F2 derived from CCIR model in NeQuick 2 are improved by the B-spline modeling methods. Secondly, the updated IRI-2012 is input as a prior value and the multiplicative algebraic reconstruction technique (MART) is implemented to reconstruct the IED distribution. The reconstructed results are validated by the simulation and observation results from ground-based GNSS, GNSS Radio Occultation (GNSS-RO) observations and ionosonde measurements. The results demonstrate the feasibility and superiority of our new method. The standard deviations of TEC residual errors from the updated NeQuick 2 are at least 20% less than those from the original NeQuick 2 model, and the updated NeQuick 2 has better performance for the ionospheric correction. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved. |
| WOS研究方向 | Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000441643700006 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.226.72/handle/331011/32253]  |
| 专题 | 中国科学院上海天文台 |
| 通讯作者 | Jin, Shuanggen |
| 作者单位 | 1.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China 2.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Jiangsu, Peoples R China 3.Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200444, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jin, Shuanggen,Li, Du. 3-D ionospheric tomography from dense GNSS observations based on an improved two-step iterative algorithm[J]. ADVANCES IN SPACE RESEARCH,2018,62(4):809-820. |
| APA | Jin, Shuanggen,&Li, Du.(2018).3-D ionospheric tomography from dense GNSS observations based on an improved two-step iterative algorithm.ADVANCES IN SPACE RESEARCH,62(4),809-820. |
| MLA | Jin, Shuanggen,et al."3-D ionospheric tomography from dense GNSS observations based on an improved two-step iterative algorithm".ADVANCES IN SPACE RESEARCH 62.4(2018):809-820. |
入库方式： OAI收割
来源：上海天文台
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