第24太阳活动周地球附近磁云与非磁云事件的统计分析

为研究第24太阳活动周中磁云（Magnetic Clouds,MC）与非磁云（Non-Magnetic Clouds,non-MC）的等离子体性质及其对空间天气的影响,使用1AU处的观测数据对2008-2015年168个ICME事件进行统计与分析,其中认证出磁云事件68个,占总数的40.48%.通过分析磁云与非磁云等离子体参数对空间天气环境的影响及与太阳活动的关系,整体性质的对比及在第23和24太阳活动周中性质的对比,可以发现:在第24太阳周中,磁云引起的磁暴强度普遍大于非磁云,南北向磁场分量是引起磁暴的重要参数;磁云数和太阳黑子数有很好的相关性,非磁云数与行星际日冕物质抛射总数及黑子数的相关性稍弱,磁云数在太阳周的不同阶段表现出不同的分布特性;磁云的磁场强度和南向磁场分量整体强于非磁云,两者质子温度、密度等参数差异不大.第24周磁云事件引起的地磁效应整体上弱于第23周磁云事件,这与第24周磁云事件最大南向磁场分量、传播速度以及质子温度整体小于第23周磁云事件有关.      

磁云边界层中的复合重联喷流观测分析

太阳风中的磁场重联通常与行星际日冕物质抛射有关.本文分析了1995年10月18日WIND飞船观测到的一例磁云前边界层中的复合重联喷流事件.该复合排空区由相邻两个不同方向的喷流构成，这两个喷流分别经过Walén关系的证认，符合行星际磁场重联排空区等离子体喷流的特征.结果表明，在磁云前端可能存在众多重联点，从而将磁云本体的磁场剥离，形成比单一重联喷流区更复杂的三维边界层结构.磁云边界层中可能发生多点多次重联，从而不表现出单点重联的排空区特征，这可能是行星际磁场重联排空区较少在ICME前端被观测到的原因之一.      

太阳风速度及日球电流片对CME渡越时间的影响

基于1996-2005年88个引起重大地磁暴的CME(日冕物质抛射)事件、1996-2000年的47个CME事件以及1997-2002年的29个全晕状CME事件,结合ACE卫星在1AU处的太阳风和行星际磁场观测资料以及Wilcox Solar Observatory(WSO)天文台的太阳光球层磁图,分析了背景太阳风速度和日球电流片对CME到达1AU处渡越时间预报误差的影响.结果表明,背景太阳风速度与CME渡越时间误差并没有明显的相关性,在考虑了磁云通量管轴相对黄道面夹角的影响后相关性依然不明显.然而日球电流片对CME渡越时间却有明显的影响,对于初速度较小的异侧CME事件,其渡越时间大于同侧事件;而对于具有较大初速度的CME事件,异侧事件的渡越时间明显小于同侧事件.研究结果表明,CME与太阳风以及日球电流片的相互作用并不是简单的对流相互作用,造成高速CME异侧事件快于同侧事件到达地球的因素非常复杂,有待深入研究.      

近地磁尾准无碰撞磁重联事件

综合分析了ClusterⅡ－C1飞船在2001年9月15日飞越地球磁尾等离子体片区的热离子和磁场观测资料。结果表明，约在0340－0440UT时间期间，资料多次呈现出较强的尾向离子流（VXGSM＜0），明显的南向磁场分量（BZGSM＜0），以及明显的晨－昏向磁场分量BYGSM等特征。由此可以推断，在磁尾等离子体片中，在径向方向XGSE＞－18．6Re范围内，可能发生了多次磁重联事件，整个事件持续期约1h。磁重联事件的观测特征与准无（或半）碰撞磁重联理论的基本图像符合一致，因此这些事件应当是准无碰撞磁重联事件。     

磁云边界层中的重联慢激波观测分析

在Petschek模型中，排空区边界处的一对慢激波是能量耗散的重要机制.已有大量行星际空间的Petschek型磁场重联排空区观测事件被报道，但是只有少量的排空区边界处观测到了慢激波.针对一例位于磁云边界层中的Petschek型磁场重联排空区观测事件，在排空区靠近磁云一侧边界处证认了一例慢激波.激波跃变层两侧的磁场和等离子体参数满足Rankine-Hugoniot关系，且激波上下游的中间马赫数均小于1，上游的慢马赫数为2.94（>1），下游的慢马赫数为0.65（<1），符合慢激波的观测特征.磁云内部的等离子体β值很低，局地阿尔芬速度高，同时磁云边界层中可能发生丰富的磁场重联活动，这可能是磁云前边界处慢激波形成的原因.      

行星际磁云边界层中的电子分布函数特征

基于WIND 飞船观测的1995---2006 年间的磁云事件, 研究了磁云边界层中电子的流动图样, 以及电子速度分布函数的特点与电子加热和加速的关系, 得出以下结果. ①磁云边界层中存在的电子流动图样, 包括各向同性、双向流动和单向流动等. ② 相比于背景太阳风和磁云本体, 通常情况下磁云边界层中电子分布函数的核心热电子成分 (E<60eV) 增多, 超热电子成分 (E>60eV) 在沿磁场垂直方向上增多, 而在沿磁场平行或反平行方向以单方向增加为主, 此外, 还在近1/10 的磁云边界层中观测到了高能电子的明显增多. ③对比研究了磁云边界层与磁云驱动的激波对电子速度分布函数的调制作用, 经过激波, 电子分布函数的超热电子成分在各方向上都有增加, 不同于磁云边界层中在沿磁场平行或反平行方向上超热电子成分以单方向增加为主, 表明二者有不同的形成机制. ④考察了磁云边界层中的波活动增强和电子分布函数及离子流量增加的对应关系. 上述观测和对比分析进一步表明了磁云边界层是一种重要的动力学结构, 磁重联是一种可能的形成机制.      

强磁云与共转高速流的相互作用两例

本文利用行星际观测数据,分析了1978年8、9月间同一起源的共转高速流两次与磁云发生的相互作用.8月27日,强磁云为共转高速流所追赶,磁云前半部为磁云本体,具有强磁云的基本特征,但后半部则为高速流追赶磁云的相互作用区,流速图象具有明显的双台阶特征.9月25日另一异常强磁云追赶再次重现的共转高速流,磁云前部为相互作用区,后部为磁云本体,但结构特征较简单磁云复杂;磁云前部流速峰值超过900km/s,而在磁云本体.Alfvén波速峰值在600km/s以上,非常接近局部太阳风速.此两事例进一步说明了Alfvén波速增强对磁云加速的重要作用.此外,还就磁云引起的磁暴和宇宙线下降的特性进行了讨论.     

引导场对无碰撞电流片低频电磁不稳定性的影响

通过数值求解无碰撞电流片中可压缩磁流体力学模型下得到的一般形式的色散关系,讨论了无碰撞电流片中引导场对低频电磁波不稳定性的影响.结果表明,平衡态磁场中的引导场,对于三维扰动传播的波不稳定性有很强的影响.(1)在电流片中间平面上(z=0),无引导场时,没有不稳定性发生,但若存在引导场,不稳定性便发生,并随着引导场的增强,不稳定性明显增强,不稳定的波模可能是低混杂模.(2)在中间平面附近(z=0.2),电流片是不稳定的.随着引导场的增强,不稳定性增长率明显地增强,不稳定的波模从平行和反平行两个方向传播变为反平行方向一个方向传播,并且是斜传播的,具有低频哨声模或低混杂模的特征.(3)在电流片边缘附近(z=0.8),引导场对不稳定的波模和增长率没有明显影响,不稳定的波模都是准平行的哨声波.      

磁层氧离子向磁鞘泄漏的机制和效应

１９９７年 １月 １０日磁暴期间， Ｇｅｏｔａｉｌ卫星在向阳侧的磁鞘中观测到了磁层氧离子突增事件．这些氧离子的出现和磁鞘中存在很强的南向行星际磁场有关．事件期间向阳面发生了准静态的磁重联，氧离子流存在由北向南的速度分量．通量突增过程具有逆向和正向能量色散现象，磁层内部只有氧离子有可能被梯度漂移输送到重联区，所以只有氧离子在磁鞘中持续地被观测到．估计氧离子的逃逸速率为 ０．６１× １０２３／ｓ，大约为环电流氧离子输入率的 ３３％．大量的环电流氧离子由磁层跑到了磁鞘，导致环电流指数 ＡＳＹ－Ｈ呈现明显的非对称性．     

基于Cluster观测的磁尾场向电流在南北半球投影位置的分布

利用Cluster四颗卫星的磁场探测数据计算磁尾场向电流并投影到极区电离层,研究其投影位置在南北半球的分布规律,统计过程中去除了强磁暴（磁暴主相Dst<–100 nT）期间的场向电流事件。结果显示:磁尾场向电流事件在极区投影位置的纬度分布具有明显的南北半球不对称性,北半球为单峰结构,南半球为双峰结构。在北半球投影到较低纬度（<64°）的场向电流事件数目明显多于南半球,并且所能达到的最低纬度更低;在南半球投影到较高纬度（>74°）的场向电流事件数目明显多于北半球,并且所能达到的最高纬度更高。地磁平静条件下（|AL|<100 nT）,磁尾场向电流密度随磁地方时（MLT）呈递增趋势,这一结果与低高度卫星在极区对I区场向电流的探测结果符合很好。研究结果表明,磁尾场向电流投影位置的纬度分布呈现出明显的南北不对称性,这与南北半球磁尾场向电流的空间分布以及磁层中磁场结构具有密切关系。      

磁云膨胀速度对无力场磁通量管模型拟合结果的影响

为了考察磁云膨胀速度对磁通量管模型拟合结果的影响,选取了1998-2003年中15次引起了较大地磁暴(Dstmin＜-50 nT)的典型磁云事件进行了拟合.与未考虑膨胀速度模型的拟合结果比较,膨胀速度的引入能较好地改善拟合结果,与观测数据的偏差最大能减小30%,并且拟合所得的膨胀速度基本符合统计规律.这个结果说明膨胀的磁通量管模型能更好地反映实际观测的磁云.同时,初步分析了考虑膨胀速度前后磁云各拟合参数的变化.      

Orientations of LASCO Halo CMEs and their connection to the flux rope structure of interplanetary CMEs

Coronal mass ejections (CMEs) observed near the Sun via LASCO coronographic imaging are the most important solar drivers of geomagnetic storms. ICMEs, their interplanetary, near-Earth counterparts, can be detected in situ, for example, by the Wind and ACE spacecraft. An ICME usually exhibits a complex structure that very often includes a magnetic cloud (MC). They can be commonly modelled as magnetic flux ropes and there is observational evidence to expect that the orientation of a halo CME elongation corresponds to the orientation of the flux rope. In this study, we compare orientations of elongated CME halos and the corresponding MCs, measured by Wind and ACE spacecraft. We characterize the MC structures by using the Grad–Shafranov reconstruction technique and three MC fitting methods to obtain their axis directions. The CME tilt angles and MC fitted axis angles were compared without taking into account handedness of the underlying flux rope field and the polarity of its axial field. We report that for about 64% of CME–MC events, we found a good correspondence between the orientation angles implying that for the majority of interplanetary ejecta their orientations do not change significantly (less than 45 deg rotation) while travelling from the Sun to the near-Earth environment.     

Relationship between substorm activity and the interplanetary medium parameters during the main phase of strong magnetic storms

In the present paper dependences of substorm activity on the solar wind velocity and southward component (Bz) of interplanetary magnetic field (IMF) during the main phase of magnetic storms, induced by the CIR and ICME events, is studied. Strong magnetic storms with close values of Dst_min?≈??100?±?10?nT are considered. For the period of 1979–2017 there are selected 26 magnetic storms induced by the CIR and ICME (MC?+?Ejecta) events. It is shown that for the CIR and ICME events the average value of the AE index (AE_aver) at the main phase of magnetic storm correlates with the solar wind electric field. The highest correlation coefficient (r?=?0.73) is observed for the magnetic storms induced by the CIR events. It is found that the AE_aver for magnetic storms induced by ICME events, unlike CIR events, increases with the growth of average value of the southward IMF Bz module. The analysis of dependence between the AE_aver and average value of the solar wind velocity (Vsw_aver) during the main phase of magnetic storm shows that in the CIR events, unlike ICME, the AE_aver correlates on the Vsw_aver.     

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.     

Flash芯片电流“尖峰”现象的脉冲激光试验

利用皮秒脉冲激光单粒子效应试验装置研究了一款宇航级Flash芯片的电流“尖峰”（HCS）现象。利用激光准确定位的特点，确定电流“尖峰”是由芯片的电荷泵单元充放电引起的，不同的激光能量、入射位置会触发不同频率、相同幅值的电流“尖峰”现象，虽然电流“尖峰”发生的瞬间电流增大的现象与单粒子锁定效应表现一致，但机理完全不同。当激光能量足够高（对应于重离子LET值99.8 MeV·cm2/mg）时，在电荷泵的同一个敏感位置累积多次辐照不断触发芯片发生电流“尖峰”，芯片会因多次充放电而损坏。      

The links between atmospheric vorticity,radiation belt electrons,and the solar wind

The links between winter storm intensity and solar wind variations associated with Heliospheric Current Sheet (HCS) crossings are shown to be present in 1997 through 2002 data without the necessity of high stratospheric aerosol loading.     

Combining MHD and kinetic modelling of solar flares

Solar flares are explosive events in the solar corona, representing fast conversion of magnetic energy into thermal and kinetic energy, and hence radiation, due to magnetic reconnection. Modelling is essential for understanding and predicting these events. However, self-consistent modelling is extremely difficult due to the vast spatial and temporal scale separation between processes involving thermal plasma (normally considered using magnetohydrodynamic (MHD) approach) and non-thermal plasma (requiring a kinetic approach). In this mini-review we consider different approaches aimed at bridging the gap between fluid and kinetic modelling of solar flares. Two types of approaches are discussed: combined MHD/test-particle (MHDTP) models, which can be used for modelling the flaring corona with relatively small numbers of energetic particles, and hybrid fluid-kinetic methods, which can be used for modelling stronger events with higher numbers of energetic particles. Two specific examples are discussed in more detail: MHDTP models of magnetic reconnection and particle acceleration in kink-unstable twisted coronal loops, and a novel reduced-kinetic model of particle transport in converging magnetic fields.     

Solar and interplanetary origins of the November 2004 superstorms

During the first half of November 2004, many solar flares and coronal mass ejections (CMEs) were associated with solar active region (AR) 10696. This paper attempts to identify the solar and interplanetary origins of two superstorms which occurred on 8 and 10 November with peak intensities of Dst = −373 nT and −289 nT, respectively. Southward interplanetary magnetic fields within a magnetic cloud (MC), and a sheath + MC were the causes of these two superstorms, respectively. Two different CME propagation models [Gopalswamy, N., Yashiro, S., Kaiser, M.L. et al. Predicting the 1-AU arrival times of coronal mass ejections. J. Geophys. Res. 106, 29207–29219, 2001; Gopalswamy, N.S., Lara, A., Manoharan, P.K. et al. An empirical model to predict the 1-AU arrival of interplanetary shocks. Adv. Space Res. 36, 2289–2294, 2005] were employed to attempt to identify the solar sources. It is found that the models identify several potential CMEs as possible sources for each of the superstorms. The two Gopalswamy et al. models give the possible sources for the first superstorm as CMEs on 2330 UT 4 November 2004 or on 1454 UT 5 November 2004. For the second superstorm, the possible solar source was a CME that on 0754 UT 5 November 2004 or one that occurred on 1206 UT 5 November 2004. We note that other propagation models sometimes agree and other times disagree with the above results. It is concluded that during high solar/interplanetary activity intervals such as this one, the exact solar source is difficult to identify. More refined propagation models are needed.     

利用人工神经网络预报大磁暴

本文采用阈值预报的策略和人工神经网络BP模型,以13个太阳风参量和地磁AE,Dst指数作为输入,以0或1作为输出,提前4h预报大磁暴主相发生的时刻．结果表明,采用神经网络方法的阈值预报可以对灾害性磁暴的发生提前数小时做出比较准确的预报．