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Forecasting of low‐latitude storm‐time ionospheric foF2 using support vector machine
Author(s) -
Ban PanPan,
Sun ShuJi,
Chen Chun,
Zhao ZhenWei
Publication year - 2011
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2010rs004633
Subject(s) - ionosphere , geomagnetic storm , storm , international reference ionosphere , geomagnetic latitude , latitude , meteorology , universal time , solar wind , environmental science , geology , atmospheric sciences , earth's magnetic field , geodesy , geophysics , total electron content , geography , physics , tec , quantum mechanics , astronomy , magnetic field
An empirical model for predicting low‐latitude storm‐time ionospheric foF2 is developed using the support vector machine technique. Considering that the ionospheric disturbances are mainly caused by interplanetary disturbances, the solar wind data are introduced as model input, as well as the ionospheric observations of Haikou (HK, with geographic coordinates of 110.3°E and 20.0°N, and geomagnetic latitudes of 8.6°N) and Chongqing (CQ, 106.5°E, 29.6°N, and geomagnetic latitudes of 18.1°N) in China. Data from 45 storms are selected as training samples to construct the model, and other 26 storms are used to validate and evaluate the model. The results indicate that the model proposed here can capture the low‐latitude ionospheric disturbances most of the time. Compared with another empirical model, STORM, which has been included in International Reference Ionosphere (IRI) as storm time corrections, our model shows remarkable improvement at least for the given events.