SRF2—A Short‐Term (1–24)h foF2 Prediction Method
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 un...
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| Format: | Article |
| Language: | English |
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Wiley
2022-08-01
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| Series: | Space Weather |
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| Online Access: | https://doi.org/10.1029/2022SW003047 |
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| _version_ | 1841536525462929408 |
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| author | L. Perrone A. V. Mikhailov |
| author_facet | L. Perrone A. V. Mikhailov |
| author_sort | L. Perrone |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-eb84b4de34434a1d92a4a44fa315a20e |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2022-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-eb84b4de34434a1d92a4a44fa315a20e2025-01-14T16:27:07ZengWileySpace Weather1542-73902022-08-01208n/an/a10.1029/2022SW003047SRF2—A Short‐Term (1–24)h foF2 Prediction MethodL. Perrone0A. V. Mikhailov1Istituto Nazionale di Geofisica e Vulcanologia (INGV) Via di Vigna Murata Roma ItaliaIstituto Nazionale di Geofisica e Vulcanologia (INGV) Via di Vigna Murata Roma ItaliaAbstract 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.https://doi.org/10.1029/2022SW003047magnetotelluricselectrical resistivityvelocitymineral explorationfertilizationfluid pathways |
| spellingShingle | L. Perrone A. V. Mikhailov SRF2—A Short‐Term (1–24)h foF2 Prediction Method Space Weather magnetotellurics electrical resistivity velocity mineral exploration fertilization fluid pathways |
| title | SRF2—A Short‐Term (1–24)h foF2 Prediction Method |
| title_full | SRF2—A Short‐Term (1–24)h foF2 Prediction Method |
| title_fullStr | SRF2—A Short‐Term (1–24)h foF2 Prediction Method |
| title_full_unstemmed | SRF2—A Short‐Term (1–24)h foF2 Prediction Method |
| title_short | SRF2—A Short‐Term (1–24)h foF2 Prediction Method |
| title_sort | srf2 a short term 1 24 h fof2 prediction method |
| topic | magnetotellurics electrical resistivity velocity mineral exploration fertilization fluid pathways |
| url | https://doi.org/10.1029/2022SW003047 |
| work_keys_str_mv | AT lperrone srf2ashortterm124hfof2predictionmethod AT avmikhailov srf2ashortterm124hfof2predictionmethod |