Physics
Scientific paper
Nov 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010jgra..11511315c&link_type=abstract
Journal of Geophysical Research, Volume 115, Issue A11, CiteID A11315
Physics
1
Ionosphere: Modeling And Forecasting, Ionosphere: Midlatitude Ionosphere, Ionosphere: Meteor-Trail Physics, Informatics: Forecasting (2722, 7924), Space Weather: Models
Scientific paper
Using the support vector machine (SVM), an empirical local ionospheric forecasting model over Lanzhou (ELIFMOL) has been developed to predict the critical frequency of the F2 layer (foF2) during disturbed geomagnetic conditions. This study focuses on the reliable prediction of foF2 during geomagnetic storms, which is important for practical applications as well as for further understanding of the storm dynamics. In this paper, we investigate whether foF2 during disturbed geomagnetic conditions at a single station can be well predicted one hour ahead by using some inputs to an SVM network, such as the latest foF2 observations, hourly quiet time foF2 (foF2QT), time, and the hourly time-weighted accumulation series derived from the geomagnetic index (ap(τ)). The input observation data cover the period of January 1958 to December 2000 at Lanzhou (36.1°N, 104.0°E) in China. The foF2 forecasted by the ELIFMOL are compared with the monthly median values and with those by the STORMMEDIAN model, the persistence model, and the STORMfoF2QT model during geomagnetic storms occurring from 2001 to 2006. As for the data sets used in this paper, the results show that the performance of ELIFMOL is better than that of the latter models.
Ban Panpan
Chen Chian-Chou
Ding Z. H.
Sun Shih-Jye
Wu Shun-Zhi
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