太阳黑子自动识别与特征参量自动提取

日面上黑子数目反映了太阳活动水平的高低.黑子形态的复杂性和磁场的非势性与太阳活动爆发密切相关.随着高时空精度的太阳观测数据量的急剧增长，快速准确地自动识别日面上的黑子以及对黑子群特征自动提取已成为太阳活动预报的现实需求.本文针对SDO/HMI的活动区白光数据，利用数学形态法开展黑子自动识别研究，并在黑子识别基础上对黑子群的面积和黑子数进行了计算.通过对利用2011-2017年HMI活动区数据计算得到的黑子群面积和黑子数与NOAA/SWPC发布的活动区相应参量进行比较，发现本文计算结果与SWPC发布数据的变化趋势基本一致，相关性较好.其中黑子群面积的相关系数为0.77，黑子数的相关系数为0.79.研究结果表明，利用本文方法对SDO/HMI数据进行处理，能够得到高时间分辨率的黑子群特征参量，可为太阳活动预报提供及时准确的输入.      

1986年2月太阳的高活动I活动区4711的演化和特征

本文使用太阳黑子、磁场、Hα色球、10.7cm射电及软X射线流量等观测资料,对太阳活动谷期的高活动区4711(SESC编号)从光球、色球和日冕三个方面做了综述.指出该活动区演化过程的特征是:(1)黑子群在主要发展阶段呈一个紧密的结构复杂的强磁区;(2)两次大的太阳爆发均发生在黑子群面积衰减阶段的初期;(3)黑子群的转动可能是活动区日冕加热和耀斑活动的主要供能机制;(4)色球暗条的频繁活动是爆发的先兆;(5) 10.7cm射电辐射和软X射线辐射的逐日流量有彼此不重合的双峰.      

22太阳活动周的δ黑子群与X级X射线耀斑

用２２太阳活动周的２２１个δ黑子群（从１９８６年至１９９１年），研究δ黑子群的特性，δ黑子群与Ｘ级Ｘ射线耀斑（ＸＸＦ）之间的关系。１．证实了Ｔａｎｇ，Ｚｉｒｉｎ和Ｌｉｇｇｅｔｔ的发现，所有δ黑子群源于二个偶极黑子区，由其中之一的前导黑子与另一的后随黑子相互渗透而构成；在δ黑子的极性分界线上，磁场是强烈地剪切的，同时还找到了许多δ黑子解体的事例，这点与Ｚｉｒｉｎ（１９８７）的结论相悖，δ黑子的解体是     

太阳黑子对人类的影响

２０００年３月初 ,太阳表面出现“黑斑” ,许多人用肉眼就可以直接观测到这一奇特的自然现象 ,这就是太阳黑子。“黑斑”的出现 ,表明太阳活动又进入了一个新的高峰期。这一次太阳出现了两群大黑子 ,每个黑子群的面积都远远超过地球。太阳活动周期为１１ ２年 ,活动高峰期太阳黑子集中爆发 ,大约持续两三年。科学家们预测 ,这一轮高峰期将由２０００年３月持续到２００２年左右。我国早在两千多年前的秦汉时期就观测到太阳黑子 ,并存有世界上最早的有关太阳黑子的记录。早在公元前１４０年前后成书的《淮南子·精神训》篇中就有“日中有蹲…     

AR5395活动区演化的周期性

观测资料分析表明,AR5395活动区演化具有周期性的特征,软X射线峰值流量F变化周期为24.3小时,X射线耀斑出现率N_x,具有12.2小时的周期性,活动区黑子群面积S_x的变化呈现24.4小时的周期。这3个周期变化量的相位关系表明:(1)X级耀斑往往发生在黑子面积减小的位相;(2)在1个周期内,黑子群面积达到最大值约需16小时,恢复到大耀斑前水平约需8小时;(3)在X级大耀斑前约12小时,小级别耀斑出现率达到峰值。分析显示,AR5395活动区似乎工作于大耀斑能量储存—释放—储存周期性循环的极限状态之中。      

基于PCA方法对太阳活动区主要参量的分析

太阳耀斑与太阳质子事件的发生通常与太阳活动区存在非常密切的关系, 对这种关系的深入分析有助于太阳耀斑和太阳质子事件预报模型的建立. 本文利用主成分分析(Principal Component Analysis, PCA)方法对1997-2010年太阳质子事件所在活动区的主要参量进行分析, 选取的参量包括黑子磁分类、 McIntosh分类、太阳黑子群面积、10.7 cm射电流量、耀斑指数、质子耀斑位置和软X射线耀斑强度. 结果得到81个太阳活动主成分得分值排序(得分值代表每个事件的强弱), 与太阳质子事件峰值流量、太阳黑子年均值以及10.7 cm射电流量年均值的对比显示相似度非常高, 表明主成分得分值一定程度上可以反映太阳活动的强弱规律.      

众眼看宇宙

直到去年,太阳已经异常宁静了好几年。现在,它终于再次进入活跃期,11月中旬人们发现太阳上出现了一个空前巨大的黑子群——AR1339,就在照片偏右处。这张照片是用特殊的滤镜(Hα滤镜)拍摄,再套以伪彩色而生成。照片中可以清楚地看到遍布于太阳表面的针状体,还有众多在日面边缘闪烁着的日珥——它们与圆面上的亮条纹其实是同类。太阳磁场活动在未来几年将达到极大,太阳黑子以及磁场活动会越来越密集,它的表面也会越来越精彩。     

从地磁扰动分析太阳共转周期结构

本文运用相关、功率谱等数字信号处理方法对20周太阳风速度和地磁扰动进行比较,得出两者反映的太阳共转周期结构十分相似.且用1900—1979年的地磁C₉指数进行了自相关分析,发现在相当长的时间中,地磁扰动存在13天、27天的周期成份,说明日冕上可能具有某种固有的分布结构,通过不同的太阳活动周的比较,说明太阳活动水平及黑子面积南北半球不对称都对地磁C₉指数能否明显反映日冕上固有分布结构的活动和发展有影响.      

太阳进入活动高峰期了吗?

前一段时间一些媒体报道了１９９９年太阳活动将进入高峰期，如有一条消息引述国内外专家的预测称：届时可能引发通信卫星故障、电网漏电、干扰无线电广播等不可预料的结果。果真会如此吗？中科院北京天文台的权威专家最近指出：这一预测不够科学，１９９９年太阳不会进入活动高峰期。太阳活动的强弱一般以黑子多寡为标志。太阳黑子是太阳炽热表面上相对温度较低、颜色较为暗淡的斑点。太阳黑子的增多，太阳上耀斑等爆发活动也随之活跃和增多。它们以每小时上百万千米的速度向外辐射和喷射高能粒子流，从而对地球环境带来一定的影响。天文学…     

1986年2月4日AR4711拱形双带黑子暗条系激活的分析

根据1986-02-04AR47ll由观测所确定的物理参数和特征值,采用电动力学方法数值计算该活动区中两个拱形黑子暗条在大耀斑爆发前的动力学演化过程.结果表明:(1)以旋涡黑子为标志的光球物质旋转运动和以暗条下方磁力线强剪切为特征的剪切运动引起暗条电流增加和背景磁场变化,电流和磁场的相互作用导致暗条向上运动,大耀斑爆发前暗条的上升速度达26km／S;(2)背景场位形对暗条整体动力学行为有很大影响,AR47ll在7×104km高度范围内场强随高度似乎按指数规律衰减.      

太阳活动变化分析

利用Morlet小波变换方法对太阳黑子相对数进行了分析,对太阳活动变化得出了一些有意义的结果.太阳活动存在10.7 a和101 a的变化周期,以10.7 a周期最为显著.太阳活动强弱变化存在一定的阶段性,在1950年发生了气候突变,之后太阳活动明显加强,未来一段时间太阳活动较弱.      

Solar activity prediction studies and services in NAOC

Solar activity prediction services started in 1960’s in National Astronomical Observatories, Chinese Academy of Sciences (NAOC). As one of the members of the International Space Environment Service (ISES), Regional Warning Center of China (RWC-China) was set up in 1990’s. Solar Activity Prediction Center (SAPC), as one of the four sub-centers of RWC-China, is located in NAOC. Solar activity prediction studies and services in NAOC cover short-term, medium-term, and long-term forecast of solar activities. Nowadays, certain prediction models, such as solar X-ray flare model, solar proton event model, solar 10 cm radio flux model, have been established for the practical prediction services. Recently, more and more physical analyses are introduced in the studies of solar activity prediction, such as the magnetic properties of solar active regions and magnetic structure of solar atmosphere. Besides traditional statistics algorithms, Machine Learning and Artificial Intelligence techniques, such as Support Vector Machine (SVM) method, are employed in the establishment of forecast models. A Web-based integrated platform for solar activity data sharing and forecast distribution is under construction.     

Evolution of the solar corona from solar maximum to minimum

A study on solar coronal activities related to the 11-year activity cycle is presented from the Yohkoh soft X-ray observations. Yohkoh was launched in August 1991, just after the solar maximum of the cycle 22 and continues to observe the Sun in the declining phase of the magnetic activity cycle toward the solar minimum. The soft X-ray flux from the whole Sun in the declining phase essentially decreases with the size of active regions. The X-ray intensity in quiet regions in the declining phase decreases with the magnetic flux observed at the photosphere. The whole-Sun soft X-ray flux does not monotonically decrease, but there are periodic enhancements of the flux with about a one-year interval. The activity appears as bright clusters in the butterfly diagram of the soft X-ray intensity and corresponds to the emergence of complexes of activity in the sunspot zones. The high-latitude activity is also studied, and we find that the X-ray intensity of high-latitude regions fluctuates with time scale of about one year.     

太阳活动对EUV辐射在大气中吸收过程的影响

本文利用A-E卫星在太阳活动21周峰年间观测到的EUV辐射资料,高层大气成分的吸收截面,以及MSIS-86热层大气模式,研究了EUV辐射在大气中的吸收过程;在透射比为1/e和0.1/100时分别计算了透射高度随波长及太阳活动的变化。在波长范围50—1050内对37个波段分别求出了透射高度随太阳天顶角的变化。结果表明,当太阳活动增强时各波段的透射高度均升高,而且透射比越大则透射高度随太阳活动的变化也越剧烈。当透射比为一定时,太阳天顶角越大则透射高度随太阳活动的变化也越大。除此之外还存在一个相反效应,即太阳活动会使Chapman函数变小,这反过来又促使透射高度降低。这两种效应的综合作用结果可较好地解释某些电离层观测中的日没效应。     

Responses of ionospheric foF2 to geomagnetic activities in Hainan

Responses of low-latitude ionospheric critical frequency of F2 layer to geomagnetic activities in different seasons and under different levels of solar activity are investigated by analyzing the ionospheric foF2 data from DPS-4 Digisonde in Hainan Observatory during 2002–2005. The results are as follows: (1) the response of foF2 to geomagnetic activity in Hainan shows obvious diurnal variation except for the summer in low solar activity period. Generally, geomagnetic activity will cause foF2 to increase at daytime and decrease at nighttime. The intensity of response of foF2 is stronger at nighttime than that at daytime; (2) seasonal dependence of the response of foF2 to geomagnetic activity is very obvious. The negative ionospheric storm effect is the strongest in summer and the positive ionospheric storm effect is the strongest in winter; (3) the solar cycle has important effect on the response of foF2 to geomagnetic activity in Hainan. In high solar activity period, the diurnal variation of the response of foF2 is very pronounced in each season, and the strong ionospheric response can last several days. In low solar activity period, ionospheric response has very pronounced diurnal variation in winter only; (4) the local time of geomagnetic activities occurring also has important effect on the responses of foF2 in Hainan. Generally, geomagnetic activities occurred at nighttime can cause stronger and longer responses of foF2 in Hainan.     

Non-axisymmetrical distributions of solar magnetic activity and irradiance

Active longitudes play an important role in spatial organization of solar activity. These zones associated with complexes of solar activity may persist for 20–40 consecutive rotations, and may be caused by large-scale non-axisymmetrical components of the global magnetic field. These zones of the field concentrations are 20°–40° wide and during subsequent rotations tend to reappear at constant longitude or drift slightly eastward or westward. Since the magnetic field is the principle source of the variations of radiation on the solar surface the active longitudes affect the solar irradiance received at the Earth. In this paper I study connections between the active longitudes and irradiance variations using VIRGO/SOHO, KPO and WSO data, which covered the transition period from solar cycle 22 to cycle 23 and rising phase of cycle 23. The result of this investigation is that active longitudes are associated with increases of the total solar irradiance and are prime sources of enhanced EUV radiation and coronal heating.     

Flare build up: 21 May 1980

The decaying solar active region that crossed the central meridian on May 20, 1980 at latitude S13° produced a major flare (2B/X1) at 2054 on May 21. This region was a target of the international Flare Buildup Study and was well observed. The buildup was characterized by little flare activity during two days prior to the major flare but a great deal of activity in the filament that separated the opposite magnetic polarities of the active region. Large proper motions of sunspots and magnetic fields suggest that the magnetic field was stressed prior to the flare. The immediate trigger of the flare appears to have been an eruption of new magnetic flux in the center of the active region. The new flux erupted in a configuration that decreased the net flux of the active region and contributed to the decay of the region.     

Analysis of ionospheric TEC response to solar and geomagnetic activities at different solar activity stages

Studying the relationship of total electron content (TEC) to solar or geomagnetic activities at different solar activity stages can provide a reference for ionospheric modeling and prediction. On the basis of solar activity indices, geomagnetic activity parameters, and ionospheric TEC data at different solar activity stages, this study analyzes the overall variation relationships of solar and geomagnetic activities with ionospheric TEC, the characteristics of the quasi-27-day periodic oscillations of the three variables at different stages, and the delayed TEC response of solar activity by conducting correlation analysis, Butterworth band-pass filtering, Fourier transform, and time lag analysis. The following results are obtained. (1) TEC exhibits a significant linear relationship with solar activity at different solar activity stages. The correlation coefficients |R| are arranged as follows: |R|_EUV > |R|_F10.7 > |R|sunspot number. No significant linear relationship exists between TEC and geomagnetic activity parameters (|R| < 0.35). (2) TEC, solar activity indices, and geomagnetic activity parameters have a period of 10.5 years. The maximum amplitudes of the Fourier spectrum for TEC and solar activity indices are nearly 27 days and those of geomagnetic activity parameters are nearly 27 and 13.5 days. (3) The deviations of the quasi-27-day significant periodic oscillation of TEC and solar activity indices are consistent. (4) No evident relationship exists between the quasi-27-day periodic oscillation of TEC and geomagnetic activity parameters. (5) The delay time of TEC for the 10.7 cm solar radio flux and extreme ultraviolet is always consistent, whereas that for sunspot number varies at each stage.     

Actors of the main activity in large complex centres during the 23 solar cycle maximum

During the maximum of Solar Cycle 23, large active regions had a long life, spanning several solar rotations, and produced large numbers of X-class flares and CMEs, some of them associated to magnetic clouds (MCs). This is the case for the Halloween active regions in 2003. The most geoeffective MC of the cycle (Dst = −457) had its source during the disk passage of one of these active regions (NOAA 10501) on 18 November 2003. Such an activity was presumably due to continuous emerging magnetic flux that was observed during this passage. Moreover, the region exhibited a complex topology with multiple domains of different magnetic helicities. The complexity was observed to reach such unprecedented levels that a detailed multi-wavelength analysis is necessary to precisely identify the solar sources of CMEs and MCs. Magnetic clouds are identified using in situ measurements and interplanetary scintillation (IPS) data. Results from these two different sets of data are also compared.