このアイテムのアクセス数: 89

このアイテムのファイル:
ファイル 記述 サイズフォーマット 
s10291-021-01133-y.pdf2.86 MBAdobe PDF見る/開く
タイトル: Complementing regional ground GNSS-STEC computerized ionospheric tomography (CIT) with ionosonde data assimilation
著者: Ssessanga, Nicholas
Yamamoto, Mamoru  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-4957-764X (unconfirmed)
Saito, Susumu
Saito, Akinori  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-1523-7468 (unconfirmed)
Nishioka, Michi
著者名の別形: 山本, 衛
齊藤, 昭則
キーワード: 3-D regional ionosphere modeling
Ground-GNSS-STEC tomography
Ionosonde data assimilation
発行日: Jul-2021
出版者: Springer Nature
誌名: GPS Solutions
巻: 25
号: 3
論文番号: 93
抄録: A near-real-time computerized ionospheric tomography (CIT) technique was developed over the East Asian sector to specify the 3-D electron density field. The technique is based on a plethora of Global Navigation Satellite System observables within the region of interest which is bounded horizontally 110°–160°E and 10°–60°N and extending from 80 to 25, 000 km in altitude. Prior to deployment, studies validated the CIT results using ionosonde, middle-upper atmosphere radar and occultation data and found the technique to adequately reconstruct the regional ionosphere vertical structure. However, with room for improvement in estimating the peak height and avoiding physically unrealistic negative densities in the final solution, we present preliminary results from a technique that addresses these issues by incorporating CIT results into a data assimilation (DA) technique. The DA technique adds ionosonde bottomside measurements into CIT results, thereby improving the accuracy of the reconstructed bottomside 3-D structure. More specifically, on average CIT NmF2 and hmF2 improve by more than 60%. Further, during analysis, ionospheric electron densities are assumed to be better described by probability log-normal distribution, which introduces the positivity constraint that is mandatory in ionospheric imaging.
著作権等: © The Author(s) 2021
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
URI: http://hdl.handle.net/2433/276218
DOI(出版社版): 10.1007/s10291-021-01133-y
出現コレクション:学術雑誌掲載論文等

アイテムの詳細レコードを表示する

Export to RefWorks


出力フォーマット 


このアイテムは次のライセンスが設定されています: クリエイティブ・コモンズ・ライセンス Creative Commons