搜索结果: 1-7 共查到“地球物理学 F2”相关记录7条 . 查询时间(0.021 秒)
Long-term trends in f0 F2 over Grahamstown using Neural Networks
Solar activity magnetic activity
2015/9/25
Many authors have claimed to have found long-term trends in f0 F2 , or the lack thereof, for different stations. Such investigations usually involve gross assumptions about the variation of f0 F2 with...
The effects of f0 F2 variability on TEC prediction accuracy
ionopshere ionospheric modelling
2015/9/25
In this paper hourly daily F2-layer critical frequency data recorded at Rome and one minute daily TEC data recorded at Florence were used and the relevant variabiles were calculated. It was concluded ...
Software for the automatic scaling of critical frequency f0F2 and MUF(3000) F2 from ionograms appliedat the Ionospheric Observatory of Gibilmanna
ionograms automatic scaling ionosonde
2015/9/11
Software for the automatic scaling of critical frequency f0F2 and MUF(3000)F2 from ionograms was developed and applied to the ionograms produced by the new Advanced Ionospheric Sounder installed at th...
Introduction of new data into the South African Ionospheric Map to improve the estimation of F2 layer parameters
South African Ionospheric Map (SAIM) F2 layer critical frequency (foF2)
2015/8/14
In this paper the South African Ionospheric Map (SAIM) is upgraded with the usage of recent International Reference Ionosphere (IRI)-2012 model and South African Bottomside Model (SABIM) version 5 and...
极区电离层F2层峰值电子浓度对太阳活动依赖性的共轭研究
极区电离层 F2层峰值电子浓度 太阳10.7 cm通量指数 共轭研究
2014/12/20
本文利用南极中山站(ZHS),以及北极与其地理共轭的Tromso站(TRO)、地磁共轭的Longyearbyen站(LYB)各自约一个太阳活动周的观测数据,对比分析了极区电离层F2层峰值电子浓度(NmF2)对太阳活动的依赖性.结果表明,三个台站NmF2月中值随修正太阳10.7 cm通量指数F10.7P(简称P)增大在总体上呈线性增长,这说明在这三个台站,太阳辐射仍是其F2层主要电离源.其中TRO站...
Neural-network-based prediction techniques for single station modeling and regional mapping of the foF2 and M(3000)F2 ionospheric characteristics
Neural-network-based prediction techniques single station modeling regional mapping ionospheric characteristics
2009/11/12
In this work, Neural-Network-based single-station hourly daily foF2 and M(3000)F2 modelling of 15 European ionospheric stations is investigated. The data used are neural networks and hourly daily valu...