Long-term trends in <I>fo</I>F2: their estimating and origin
This paper deals with two problems, methods of <I>fo</I>F2 trend determination and origin of trends in <I>fo</I>F2, both being controversial in current literature. We found that various regression-based methods and artificial neural network-based method of Yue et al. (2006...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2008-03-01
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| Series: | Annales Geophysicae |
| Online Access: | https://www.ann-geophys.net/26/593/2008/angeo-26-593-2008.pdf |
| _version_ | 1811212311489150976 |
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| author | J. Laštovička X. Yue X. Yue X. Yue W. Wan |
| author_facet | J. Laštovička X. Yue X. Yue X. Yue W. Wan |
| author_sort | J. Laštovička |
| collection | DOAJ |
| description | This paper deals with two problems, methods of <I>fo</I>F2 trend
determination and origin of trends in <I>fo</I>F2, 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 <I>fo</I>F2 was probably substantial
and might be still even rather dominant in the last quarter of the 20th
century. |
| first_indexed | 2024-04-12T05:27:08Z |
| format | Article |
| id | doaj.art-904840970f00485ba16429eb0ab8e6cf |
| institution | Directory Open Access Journal |
| issn | 0992-7689 1432-0576 |
| language | English |
| last_indexed | 2024-04-12T05:27:08Z |
| publishDate | 2008-03-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Annales Geophysicae |
| spelling | doaj.art-904840970f00485ba16429eb0ab8e6cf2022-12-22T03:46:15ZengCopernicus PublicationsAnnales Geophysicae0992-76891432-05762008-03-012659359810.5194/angeo-26-593-2008Long-term trends in <I>fo</I>F2: their estimating and originJ. Laštovička0X. Yue1X. Yue2X. Yue3W. Wan4Institute of Atmospheric Physics, Academy of Sciences of the Czech Republic, 14131 Prague, Czech RepublicInstitute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, ChinaWuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, ChinaGraduate School, Chinese Academy of Sciences, Beijing 100049, ChinaInstitute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, ChinaThis paper deals with two problems, methods of <I>fo</I>F2 trend determination and origin of trends in <I>fo</I>F2, 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 <I>fo</I>F2 was probably substantial and might be still even rather dominant in the last quarter of the 20th century.https://www.ann-geophys.net/26/593/2008/angeo-26-593-2008.pdf |
| spellingShingle | J. Laštovička X. Yue X. Yue X. Yue W. Wan Long-term trends in <I>fo</I>F2: their estimating and origin Annales Geophysicae |
| title | Long-term trends in <I>fo</I>F2: their estimating and origin |
| title_full | Long-term trends in <I>fo</I>F2: their estimating and origin |
| title_fullStr | Long-term trends in <I>fo</I>F2: their estimating and origin |
| title_full_unstemmed | Long-term trends in <I>fo</I>F2: their estimating and origin |
| title_short | Long-term trends in <I>fo</I>F2: their estimating and origin |
| title_sort | long term trends in i fo i f2 their estimating and origin |
| url | https://www.ann-geophys.net/26/593/2008/angeo-26-593-2008.pdf |
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