Ionospheric behavior of the F2 peak parameters foF2 and hmF2 at Hainan and comparisons with IRI model predictions
文献类型：期刊论文
| 作者 | Zhang, Man-Lian; Shi, Jian-Kui2; Wang, Xiao2; Shang, She-Ping2; Wu, Shun-Zhi2 |
| 刊名 | ADVANCES IN SPACE RESEARCH
 |
| 出版日期 | 2007 |
| 卷号 | 39期号:5页码:661-667 |
| 关键词 | low latitude ionosphere F2 peak parameters IRI model |
| ISSN号 | 0273-1177 |
| DOI | 10.1016/j.asr.2006.03.047 |
| 文献子类 | Article |
| 英文摘要 | Monthly median values of foF2, hmF2 and M(3000)F2 parameters, with hourly time interval resolution for the diurnal variation, obtained with DPS-4 digisonde observations at Hainan (19.4 degrees N, 109.0 degrees E) are used to study the low latitude ionospheric variation behavior. The observational results are compared with the International Reference Ionospheric Model (IRI) predictions. The time period coverage of the data used for the present study is from March 2002 to February 2005. Our present study showed that: (1) In general, IRI predictions using CCIR and URSI coefficients follow well the diurnal and seasonal variation patterns of the experimental values of foF2. However, CCIR foF2 and URSI 156172 IRI predictions systematically underestimate the observed results during most time period of the day, with the percentage difference Delta foF2 (%) values changing between about -5% and -25%, whereas for a few hours around pre-sunrise, the IRI predictions generally overestimate the observational ones with Delta foF2 (%) sometimes reaching as large as similar to 30%. The agreement between the IRI results and the observational ones is better for the year 2002 than for the other years. The best agreement between the IRI results and the observational ones is obtained in summer when using URSI coefficients, with the seasonal average values of Delta foF2 (%) being within the limits of +/- 10%. (2) In general, the IRI predicted hmF2 values using CCIR M(3000)F2 option shows a poor agreement with the observational results. However, when using the measured M(3000)F2 as input, the diurnal variation pattern of hmF2 given by IRI2001 has a much better agreement with the observational one with the detailed fine structures including the pre-sunrise and post-sunset peaks reproduced reasonably well. The agreement between the IRI predicted hmF2 values using CCIR M(30,000)F2 option and the observational ones is worst for the afternoon to post-midnight hours for the high solar activity year 2002. During daytime hours the agreement between the hmF2 values obtained with CCIR M(30,000)F2 option and the observational ones is best for summer season. The discrepancy between the observational hmF2 and that obtained with CCIR M(30,000)F2 option stem from the CCIR M(3000)F2 model, which does not produce the small scale structures observed in the measured M(3000)F2. (c) 2007 COSPAR. Published by Elsevier Ltd. All rights reserved. |
| WOS关键词 | INTERNATIONAL REFERENCE IONOSPHERE |
| WOS研究方向 | Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000253588300004 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/67554]  |
| 专题 | 中国科学院地质与地球物理研究所 |
| 通讯作者 | Zhang, Man-Lian |
| 作者单位 | 1.Chinese Acad Sci, Inst Geol & Geophys, Div Geomagnetism & Space Phys, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Ctr Space Sci & Appl Res, Key Lab Space Weather, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Man-Lian,Shi, Jian-Kui,Wang, Xiao,et al. Ionospheric behavior of the F2 peak parameters foF2 and hmF2 at Hainan and comparisons with IRI model predictions[J]. ADVANCES IN SPACE RESEARCH,2007,39(5):661-667. |
| APA | Zhang, Man-Lian,Shi, Jian-Kui,Wang, Xiao,Shang, She-Ping,&Wu, Shun-Zhi.(2007).Ionospheric behavior of the F2 peak parameters foF2 and hmF2 at Hainan and comparisons with IRI model predictions.ADVANCES IN SPACE RESEARCH,39(5),661-667. |
| MLA | Zhang, Man-Lian,et al."Ionospheric behavior of the F2 peak parameters foF2 and hmF2 at Hainan and comparisons with IRI model predictions".ADVANCES IN SPACE RESEARCH 39.5(2007):661-667. |
入库方式： OAI收割
来源：地质与地球物理研究所
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