A physics-based method that can predict imminent large solar flares

doi:10.1126/science.aaz2511

GSTDTAP > 气候变化

DOI	10.1126/science.aaz2511
	A physics-based method that can predict imminent large solar flares
	Kanya Kusano; Tomoya Iju; Yumi Bamba; Satoshi Inoue
	2020-07-31
发表期刊	Science
出版年	2020
英文摘要	The sudden release of magnetic energy on the Sun drives powerful solar flares, which are difficult to predict. Kusano et al. derived physics-based thresholds for the onset of large solar flares and show how they can be predicted from routine solar observations (see the Perspective by Veronig). They tested their method using observations of the Sun from 2008 to 2019. In most cases, the method correctly identifies which regions will produce large flares within the next 20 hours, although there are some false positives and false negatives. The method also provides the exact location where each flare will begin and limits on how powerful it will be. Accurate predictions of solar flares could improve forecasts of space weather conditions around Earth. Science , this issue p. [587][1]; see also p. [504][2] Solar flares are highly energetic events in the Sun’s corona that affect Earth’s space weather. The mechanism that drives the onset of solar flares is unknown, hampering efforts to forecast them, which mostly rely on empirical methods. We present the κ -scheme, a physics-based model to predict large solar flares through a critical condition of magnetohydrodynamic instability, triggered by magnetic reconnection. Analysis of the largest (X-class) flares from 2008 to 2019 (during solar cycle 24) shows that the κ -scheme predicts most imminent large solar flares, with a small number of exceptions for confined flares. We conclude that magnetic twist flux density, close to a magnetic polarity inversion line on the solar surface, determines when and where solar flares may occur and how large they can be. [1]: /lookup/doi/10.1126/science.aaz2511 [2]: /lookup/doi/10.1126/science.abb6150
领域	气候变化 ; 资源环境
URL	查看原文
引用统计	被引频次：58[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/286877
专题	气候变化资源环境科学
推荐引用方式 GB/T 7714	Kanya Kusano,Tomoya Iju,Yumi Bamba,et al. A physics-based method that can predict imminent large solar flares[J]. Science,2020.
APA	Kanya Kusano,Tomoya Iju,Yumi Bamba,&Satoshi Inoue.(2020).A physics-based method that can predict imminent large solar flares.Science.
MLA	Kanya Kusano,et al."A physics-based method that can predict imminent large solar flares".Science (2020).