A method for f(o)F(2) short-term (1-24 h) forecast using both historical and real-time f(o)F(2) observations over European stations: EUROMAP model

作者：Mikhailov A V; Perrone L^*

来源：Radio Science, 2014, 49(4): 253-270.

DOI：10.1002/2014RS005373

• ionospheric forecast

A method for f(o)F(2) short-term forecast over Europe has been developed and implemented in the EUROMAP model. The input-driving parameters are 3 h ap indices (converted to ap()), effective ionospheric T index, and real-time f(o)F(2) observations. The method includes local (for each station) regression storm models to describe strong negative disturbances under ap()>30 and training models to describe f(o)F(2) variations under ap() 30. The derived model was tested in two regimes: descriptive when observed 3 h ap indices were used and real forecast when predicted daily Ap were used instead of 3 h ap indices. In the case of strong negative disturbances the EUROMAP model demonstrates on average the improvement over the lnternational Reference Ionosphere STORM-time correction model (IRI(STORM)) model: 40% in winter, 24% in summer, and 39% in equinox. The average improvement over climatology is 41% in winter, 59% in summer, and 55% in equinox. In the majority of cases this difference is statistically significant. In the case of strong positive disturbances, higher-latitude stations also manifest a significant difference between the two models but this difference is insignificant at lower latitude stations. The substitution of 3 h ap input indices for the predicted daily Ap ones decreases the f(o)F(2) prediction accuracy in the case of negative disturbances but practically has no effect with positive disturbances. In both cases the proposed method manifests better accuracy than the IRI(STORM) model provides. The obtained results show a real opportunity to provide f(o)F(2) forecast with the (1-24 h) lead time on the basis of predicted Ap indices.

• 出版日期2014-4