Relationship between ionospheric F2-layer critical frequency, F10.7, and F10.7P around African EIA trough
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- 作者：S.O. Ikubannia ; ikubanni.stephen@lmu.edu.ng ; stevewolex1@yahoo.com ; J.O. Adeniyib
- 关键词：International Reference Ionosphere (IRI) ; Equatorial Ionization Anomaly (EIA) ; Solar activity indices ; Modeling
- 刊名：Advances in Space Research
- 出版年：2017
- 出版时间：15 February 2017
- 年：2017
- 卷：59
- 期：4
- 页码：1014-1022
- 全文大小：885 K
- 卷排序：59
文摘
Improved ionospheric modeling requires a better understanding of the relationship between ionospheric parameters and their influencing solar and geomagnetic sources. Published reports of the validation of the International Reference Ionosphere (IRI) for quiet-time revealed either underestimation or overestimation at a greater magnitude during high solar fluxes, especially at low latitude. With daily foF2 data from Ouagadougou (geor. 12.4°N, 1.5°W) covering a solar cycle, we have presented preliminary results from the analysis of solar dependence of six different classifications of the data: (i) daily values, (ii) monthly mean, (iii) daily quiet values (with Ap ⩽ 20), (iv) monthly-quiet-mean values, (v) monthly median, and (vi) monthly-quiet-median values. All six classifications show good nonlinear relationship with both F10.7 and F10.7P, however, the differences between the dependence of classes (i) and (iii) of foF2 on the two solar indices is more substantial than those of classes (ii), (iv), (v), and (vi). Of all the six classes, the monthly averages are best related to both solar activity indices. Further analysis shows that magnetic disturbances are non-influential in the variations of the monthly mean of both solar activity indices; this makes both good indices for quiet-time modeling. Likewise, F10.7 and F10.7P are indistinguishable for long-term modeling around the African EIA trough region. While monthly median values may be best for mid-latitude region, either the mean/median values could be used for low-latitude region. However, it could be worthwhile to examine the distribution of the data from the station under consideration.