Variation of ionosonde foE and its comparison with IRI-2016 & a local model over Pakistan longitude sector during solar cycle 22

被引:0
|
作者
Ameen, Muhammad Ayyaz [1 ,2 ,6 ]
Muhammad, Aisha Ghulam [3 ]
Abbas, Faizan [1 ]
Tahir, Afnan [1 ,4 ]
Talha, Madeeha [1 ,5 ]
机构
[1] Pakistan Space & Upper Atmosphere Res Commiss SUPA, Karachi, Pakistan
[2] Univ Karachi, Main Univ Rd, Karachi 75270, Pakistan
[3] NED Univ Engn & Technol, Karachi, Pakistan
[4] Beihang Univ, Sch Instrumentat & Optoelect Engn, SNARS Lab, 37 Xueyuan Rd, Beijing 100191, Peoples R China
[5] Korean Astron & Space Sci Inst KASI, 776 Daedeok Daero, Daejeon, South Korea
[6] Pakistan Space & Upper Atmosphere Res Commiss SUPA, POB 8402,SUPARCO Rd, Karachi 75270, Pakistan
基金
美国海洋和大气管理局;
关键词
E-layer; foE; Pakistan; ANN; Noontime; MONOCHROMATIC RADIATION; IONOSPHERE; TIME; ATMOSPHERE; ABSORPTION; KARACHI; MINIMA; HMF2; FOF2; IRI;
D O I
10.1016/j.asr.2022.12.038
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The study presents the variation of ionospheric critical frequency of E-layer (foE), its comparison with International Reference Iono-sphere (IRI-2016) over Pakistan and suggests an artificial neural network (ANN) based algorithm to predict noontime daily hourly val-ues. The ionosonde measurements of Karachi (Geog. Coord: 24.95 degrees N, 67.13 degrees E, dip latitude = 17.0 degrees N), Multan (30.18 degrees N, 71.48 degrees E, 21.8 degrees N) and Islamabad (33.75 degrees N, 73.13 degrees E, 25.2 degrees N) have been used for the purpose. The observed foE values have been analysed during the high, moderate and low solar activity years 1989, 1992 and 1996, respectively. Results show a strong correlation between foE and solar activity which was expected because the E-layer is essentially solar controlled. It is found that foE peaks around noon with higher values during summer. The annual relative percentage deviation between data and IRI-2016 modelled values remains less than 6% for all locations and years under study. The ANN based algorithm predicts daily noontime foE values with a goodness of fit of 78%, compared to the IRI-2016 prediction, which has a goodness of fit of 71%. It is noted that the performance of IRI-2016 in predicting monthly hourly median values of foE improves with decreasing solar activity. The study confirms the data authenticity of foE over Pakistan and suggests an ANN based algorithm in predicting noontime values with no immediate updates to IRI-2016 for this Asian longitude sector.(c) 2022 COSPAR. Published by Elsevier B.V. All rights reserved.
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页码:4340 / 4350
页数:11
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