foF2 Long Term Trends at Ouagadougou Station
نویسندگان
چکیده
منابع مشابه
Long-term trends in foF2: their estimating and origin
This paper deals with two problems, methods of foF2 trend determination and origin of trends in foF2, both being controversial in current literature. We found that various regression-based methods and artificial neural networkbased method of Yue et al. (2006) provided comparable results within uncertainties caused mainly by various ways of removing/suppressing the dominant solar cycle effect. T...
متن کاملLetter to the editor Spatial and seasonal variations of the foF2 long-term trends
Using a method suggested by the authors earlier, the long-term trends of the F2-layer critical frequency, foF2 are derived for a set of ionospheric stations with a wide latitudinal and longitudinal coverage. All the trends are found to be negative. A pronounced dependence on geomagnetic latitude is found, the trend magnitude increasing with the latter. No globe scale longitudinal eect in trend...
متن کاملLong-term trends in the relation between daytime and nighttime values of foF2
The data from the vertical ionospheric sounding for 12 stations over the world were analyzed to find the relation between the values of foF2 for 02:00 LT and 14:00 LT of the same day. It is found that, in general, there exists a negative correlation between foF2(02) and foF2(14). The value of the correlation coefficient R(foF2) can be in some cases high enough and reach minus 0.7–0.8. The value...
متن کاملAn interpretation of the foF2 and hmF2 long-term trends in the framework of the geomagnetic control concept
Earlier revealed morphological features of the foF2 and hmF2 long-term trends are interpreted in the scope of the geomagnetic control concept based on the contemporary F2-layer storm mechanisms. The F2-layer parameter trends strongly depend on the long-term varying geomagnetic activity whose effects cannot be removed from the trends using conventional indices of geomagnetic activity. Therefore,...
متن کاملModelling of foF2 using neural networks at an equatorial anomaly station
The critical frequency of the F2-layer (foF2) is an important parameter in estimating the total electron content (TEC) of the ionosphere, which is necessary for predicting the ionospheric time delay in GPS applications. The foF2 data from Ahmedabad, which is in the equatorial anomaly region, are modelled using a multilayer neural network trained with back-propagation algorithm. The IRI-2001 mod...
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ژورنال
عنوان ژورنال: British Journal of Applied Science & Technology
سال: 2012
ISSN: 2231-0843
DOI: 10.9734/bjast/2012/1552