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http://hdl.handle.net/2122/15941| Authors: | Perrone, Loredana* Mikhailov, Andrey V* |
Title: | SRF2—A Short‐Term (1–24)h fo F2 Prediction Method | Journal: | Space Weather | Series/Report no.: | /20 (2022) | Publisher: | Wiley-AGU | Issue Date: | 2022 | DOI: | 10.1029/2022SW003047 | 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. |
| Appears in Collections: | Article published / in press |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Space Weather - 2022 - Perrone - SRF2 A Short‐Term 1 24 h foF2 Prediction Method (1).pdf | Open Access published article | 1.06 MB | Adobe PDF | View/Open |
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