首页|Statistical study of emerging flux regions and the response of the upper atmosphere
Statistical study of emerging flux regions and the response of the upper atmosphere
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NETL
NSTL
万方数据
维普
We statistically study the properties of emerging flux regions (EFRs) and response of the upper solar atmosphere to the flux emergence using data from the Helioseismic and Magnetic Imager and the Atmospheric Imaging Assembly onboard the Solar Dynamics Observatory.Parameters including total emerged flux,flux growth rate,maximum area,duration of the emergence and separation speed of the opposite polarities are adopted to delineate the properties of EFRs.The response of the upper atmosphere is addressed by the response of the atmosphere at different wavelengths (and thus at different temperatures).According to our results,the total emerged fluxes are in the range of (0.44-11.2)× 1019 Mx while the maximum area ranges from 17 to 182 arcsec2.The durations of the emergence are between 1 and 12 h,which are positively correlated to both the total emerged flux and the maximum area.The maximum distances between the opposite polarities are 7-25 arcsec and are also positively correlated to the duration.The separation speeds are from 0.05 to 1.08 km S-1,negatively correlated to the duration.The derived flux growth rates are (0.1-1.3) × 1019 Mxh-1,which are positively correlated to the total emerging flux.The upper atmosphere first responds to the flux emergence in the 1600(A) chromospheric line,and then tens to hundreds of seconds later,in coronal lines,such as the 171(A) (T ＝ 105.8 K) and 211(A)(T ＝ 106.3 K) lines almost simultaneously,suggesting the successive heating of the atmosphere from the chromosphere to the corona.
Sun: magnetic fieldsSun: UV radiationSun: corona
Jie Zhao、Hui Li
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Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008, China
Key Laboratory of Dark Matter and Space Astronomy, Chinese Academy of Sciences, Nanjing 210008, China
国家自然科学基金国家自然科学基金National Basic Research Program of China (973 Program
NETL
NSTL
万方数据
维普
