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  5. SRF2—A Short‐Term (1–24)h fo F2 Prediction Method
 
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SRF2—A Short‐Term (1–24)h fo F2 Prediction Method

Author(s)
Perrone, Loredana  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma2, Roma, Italia  
Mikhailov, Andrey V  
Language
English
Obiettivo Specifico
2A. Fisica dell'alta atmosfera
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Space Weather  
Issue/vol(year)
/20 (2022)
ISSN
1542-7390
Publisher
Wiley-AGU
Pages (printed)
e2022SW003047
Date Issued
2022
DOI
10.1029/2022SW003047
URI
https://www.earth-prints.org/handle/2122/15941
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.
Type
article
File(s)
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Name

Space Weather - 2022 - Perrone - SRF2 A Short‐Term 1 24 h foF2 Prediction Method (1).pdf

Description
Open Access published article
Size

1.03 MB

Format

Adobe PDF

Checksum (MD5)

8dea1236e97f90d7f30d5d6020783750

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