The Mid-Term Forecast Method of F10.7 Based on Extreme Ultraviolet Images

The solar radio flux at 10.7cm (F10.7) is a direct monitor and an important indicator of solar variability, and F10.7 is commonly used in empirical atmospheric models, ionosphere models, etc. The source regions of F10.7 are mainly in the corona above the active regions, and the extreme ultraviolet (...

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Main Authors: L. Lei, Q. Zhong, J. Wang, L. Shi, S. Liu
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Advances in Astronomy
Online Access:http://dx.doi.org/10.1155/2019/5604092
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spelling doaj-9619e0b9b99a4ca59422efc8b86c3a512020-11-25T02:40:10ZengHindawi LimitedAdvances in Astronomy1687-79691687-79772019-01-01201910.1155/2019/56040925604092The Mid-Term Forecast Method of F10.7 Based on Extreme Ultraviolet ImagesL. Lei0Q. Zhong1J. Wang2L. Shi3S. Liu4National Space Science Center, Chinese Academy of Sciences, Beijing 100190, ChinaNational Space Science Center, Chinese Academy of Sciences, Beijing 100190, ChinaUniversity of Chinese Academy of Sciences, Beijing 100190, ChinaNational Space Science Center, Chinese Academy of Sciences, Beijing 100190, ChinaNational Space Science Center, Chinese Academy of Sciences, Beijing 100190, ChinaThe solar radio flux at 10.7cm (F10.7) is a direct monitor and an important indicator of solar variability, and F10.7 is commonly used in empirical atmospheric models, ionosphere models, etc. The source regions of F10.7 are mainly in the corona above the active regions, and the extreme ultraviolet (EUV) images reflect the coronal thermal structure. In this paper, an index is defined as PSR based on the intensity values of solar EUV images to represent the coronal contribution to F10.7. The Spearman correlation coefficient between the observed values of F10.7 and PSR is 0.85 in 304 Å EUV images. Based on the high correlation, an empirical model is constructed. Combining the EUV data of SDO/AIA and the twin STEREO/EUVI, solar full-disk EUV images can be generated, and the future 27-day values of PSR can be calculated. Then, a realistic estimation of F10.7 from 1 to 27 days in advance can be provided by the empirical model. Compared to the predictive values of F10.7 by the 54th-order autoregressive models in 2012-2013, the error drop-rate of our model is 12.54%, and our method has significant advantages in the upcoming 3 to 27 days’ forecast.http://dx.doi.org/10.1155/2019/5604092
collection DOAJ
language English
format Article
sources DOAJ
author L. Lei
Q. Zhong
J. Wang
L. Shi
S. Liu
spellingShingle L. Lei
Q. Zhong
J. Wang
L. Shi
S. Liu
The Mid-Term Forecast Method of F10.7 Based on Extreme Ultraviolet Images
Advances in Astronomy
author_facet L. Lei
Q. Zhong
J. Wang
L. Shi
S. Liu
author_sort L. Lei
title The Mid-Term Forecast Method of F10.7 Based on Extreme Ultraviolet Images
title_short The Mid-Term Forecast Method of F10.7 Based on Extreme Ultraviolet Images
title_full The Mid-Term Forecast Method of F10.7 Based on Extreme Ultraviolet Images
title_fullStr The Mid-Term Forecast Method of F10.7 Based on Extreme Ultraviolet Images
title_full_unstemmed The Mid-Term Forecast Method of F10.7 Based on Extreme Ultraviolet Images
title_sort mid-term forecast method of f10.7 based on extreme ultraviolet images
publisher Hindawi Limited
series Advances in Astronomy
issn 1687-7969
1687-7977
publishDate 2019-01-01
description The solar radio flux at 10.7cm (F10.7) is a direct monitor and an important indicator of solar variability, and F10.7 is commonly used in empirical atmospheric models, ionosphere models, etc. The source regions of F10.7 are mainly in the corona above the active regions, and the extreme ultraviolet (EUV) images reflect the coronal thermal structure. In this paper, an index is defined as PSR based on the intensity values of solar EUV images to represent the coronal contribution to F10.7. The Spearman correlation coefficient between the observed values of F10.7 and PSR is 0.85 in 304 Å EUV images. Based on the high correlation, an empirical model is constructed. Combining the EUV data of SDO/AIA and the twin STEREO/EUVI, solar full-disk EUV images can be generated, and the future 27-day values of PSR can be calculated. Then, a realistic estimation of F10.7 from 1 to 27 days in advance can be provided by the empirical model. Compared to the predictive values of F10.7 by the 54th-order autoregressive models in 2012-2013, the error drop-rate of our model is 12.54%, and our method has significant advantages in the upcoming 3 to 27 days’ forecast.
url http://dx.doi.org/10.1155/2019/5604092
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