2009
DOI: 10.5194/angeo-27-3203-2009
|View full text |Cite
|
Sign up to set email alerts
|

A global model of the ionospheric F2 peak height based on EOF analysis

Abstract: Abstract. The ionospheric F2 peak height hmF2 is an important parameter that is much needed in ionospheric research and practical applications. In this paper, an attempt is made to develop a global model of hmF2. The hmF2 data, used to construct the global model, are converted from the monthly median hourly values of the ionospheric propagation factor M(3000)F2 observed by ionosondes/digisondes distributed globally, based on the strong anti-correlation existed between hmF2 and M(3000)F2. The empirical orthogon… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
57
0

Year Published

2011
2011
2016
2016

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 70 publications
(57 citation statements)
references
References 36 publications
0
57
0
Order By: Relevance
“…Dvinskikh (1988) first introduced EOF analysis into the empirical modeling of the ionospheric parameters. It has been confirmed by many researchers that EOF analysis is a powerful method for ionospheric modeling and data analysis (e.g., Singer and Dvinskikh, 1991;Daniell et al, 1995;Matsuo et al, 2002Matsuo et al, , 2005Marsh et al, 2004;Zhao et al, 2005;Zapfe et al, 2006;Liu et al, 2008;Mao et al, 2008;Zhang et al, 2009;Matsuo and Forbes, 2010, and more). According to EOF theory, the variation of the ionospheric parameters are attributed to different factors which can be extracted and separated in terms of their relative "contribution" with respect to ionospheric parameters.…”
Section: Brief Introduction Of Eof Analysis Methodsmentioning
confidence: 98%
See 2 more Smart Citations
“…Dvinskikh (1988) first introduced EOF analysis into the empirical modeling of the ionospheric parameters. It has been confirmed by many researchers that EOF analysis is a powerful method for ionospheric modeling and data analysis (e.g., Singer and Dvinskikh, 1991;Daniell et al, 1995;Matsuo et al, 2002Matsuo et al, , 2005Marsh et al, 2004;Zhao et al, 2005;Zapfe et al, 2006;Liu et al, 2008;Mao et al, 2008;Zhang et al, 2009;Matsuo and Forbes, 2010, and more). According to EOF theory, the variation of the ionospheric parameters are attributed to different factors which can be extracted and separated in terms of their relative "contribution" with respect to ionospheric parameters.…”
Section: Brief Introduction Of Eof Analysis Methodsmentioning
confidence: 98%
“…This makes EOF analysis method a highly effective way of empirical modeling not only by greatly reducing the modeling parameters but also by considerably saving the computation time compared with other expansion methods. For further details of EOF decomposition, readers may refer to Dvinskikh (1988), Xu and Kamide (2004), and Zhang et al (2009).…”
Section: Brief Introduction Of Eof Analysis Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…So, Zhang et al (2009Zhang et al ( , 2014 use the empirical orthogonal functions to develop a global h m F2 model. However, the first work uses the indirect derivation of h m F2 from M(3000)F2, f o F2 and f o E. In the following work (Zhang et al, 2014) the authors used the combined data from the satellite radio-occultation measurements and the 10 ground-based ionospheric sounders.…”
Section: Introductionmentioning
confidence: 99%
“…Another approach of ionospheric parameter modelling based on empirical orthogonal function (EOF) analysis of the observational data set is studied by Liu et al (2008), and Zhang et al (2009). Furthermore, Gulyaeva et al (2008) recently developed a numerical model of hmF2 using about 90 000 electron density profiles derived from observations taken by topside sounder satellites ISIS1, ISIS2, IK19 and Cosmos-1809during 1969-1987 In this paper, we derive an empirical hmF2 model based on non-linear least squares technique.…”
Section: M Hoque and N Jakowski: A New Global Model For The Ionomentioning
confidence: 99%