Space Weather (Aug 2022)

SRF2—A Short‐Term (1–24)h foF2 Prediction Method

  • L. Perrone,
  • A. V. Mikhailov

DOI
https://doi.org/10.1029/2022SW003047
Journal volume & issue
Vol. 20, no. 8
pp. n/a – n/a

Abstract

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Abstract A sunrise F2‐layer short‐term (1–24) h foF2 prediction method has been developed to forecast foF2 variations at a given ionosonde station during magnetically quiet and disturbed periods. The proposed method efficiently describes both positive and negative quiet time F2‐layer disturbances under daily Ap <30 nT and this was done for the first time. A comparison with modern global empirical models demonstrates a statistically significant advantage over them under various seasons and levels of solar activity.

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