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Long-term Trends in FoF2: Their Estimating and Origin : Volume 26, Issue 3 (26/03/2008)

By Laštovička, J.

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Book Id: WPLBN0003978113
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File Size: Pages 6
Reproduction Date: 2015

Title: Long-term Trends in FoF2: Their Estimating and Origin : Volume 26, Issue 3 (26/03/2008)  
Author: Laštovička, J.
Volume: Vol. 26, Issue 3
Language: English
Subject: Science, Annales, Geophysicae
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2008
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Wan, W., Laštovička, J., & Yue, X. (2008). Long-term Trends in FoF2: Their Estimating and Origin : Volume 26, Issue 3 (26/03/2008). Retrieved from http://www.worldlibrary.org/


Description
Description: Institute of Atmospheric Physics, Academy of Sciences of the Czech Republic, 14131 Prague, Czech Republic. 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 network-based method of Yue et al. (2006) provided comparable results within uncertainties caused mainly by various ways of removing/suppressing the dominant solar cycle effect. The role of geomagnetic activity in the observed trends in foF2 was probably substantial and might be still even rather dominant in the last quarter of the 20th century.

Summary
Long-term trends in foF2: their estimating and origin

Excerpt
Clilverd, M. A., Clark, T. D. G., Clarke, E., Rishbeth, H., and Ulich, T.: The cause of long-term change in the aa index, J. Geophys. Res., 107(A12), 1441, doi:10.1029/2001JA000501, 2002.; Danilov, A. D.: The method of determination of the long-term trends in the F2-region independent of geomagnetic activity, Ann. Geophys., 20, 511–521, 2002.; Danilov, A. D.: Progress in studies of the trends in the ionosphere F region, Phys. Chem. Earth, 31(1–3), 34–40, 2006.; Laštovička, J.: On the role of solar and geomagnetic activity in long-term trends in the atmosphere-ionosphere system, J. Atmos. Sol.-Terr. Phy., 67, 83–92, 2005.; Laštovička, J., Akmaev, R. A., Beig, G., Bremer, J., and Emmert, J. T.: Global change in the upper atmosphere, Science, 314(5803), 1253–1254, 2006a.; Laštovička, J., Mikhailov, A. V., Ulich, T., Bremer, J., Elias, A. G., Ortiz de Adler, N., Jara, V., Abarca del rio, R., Foppiano, A. J., Ovalle, E., and Danilov, A. D.: Long-term trends in \textitfoF2: A comparison of various methods, J. Atmos. Sol.-Terr. Phy., 68, 1854–1870, 2006b.; Mikhailov, A. V.: Ionospheric long-term trends: can the geomagnetic control and the greenhouse hypothesis be reconciled?, Ann. Geophys., 24, 2533–2541, 2006.; Mikhailov, A. V., Marin, D., Leschinskaya, T. Yu., and Herraiz, M.: A revised approach to \textitfoF2 long-term trend analysis, Ann. Geophys., 20, 1663–1675, 2002.; Rishbeth, H. and Roble, R. G.: Cooling of the upper atmosphere by enhanced greenhouse gases – Modelling of the thermospheric and ionospheric effects, Planet. Space Sci., 40, 1011–1026, 1992.; Qian, L., Solomon, S. C., Roble, R. G., and Kane, T. J.: Model simulations of global change in the ionosphere, Geophys. Res. Lett., doi:10.1029/2007GL033156, in press, 2008.; Yue, X., Wan, W., Liu, L., Ning, B., and Zhao, B.: Applying artificial neural network to derive long-term \textitfoF2 trends in the Asia/Pacific sector from ionosonde observations, J. Geophys. Res., 111, A10303, doi:10.1029/2005JA011577, 2006.

 

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