利用多卫星观测CIR事件演变的统计分析

根据2007-2009年STEREO-BEHIND (STB)和ACE卫星的行星际磁场和太阳风数据, 基于冕洞高速流从太阳向外匀速径向传输假设, 讨论了随着STB和ACE卫星与太阳之间的夹角从0°增大至70°时, 冕洞发出的高速太阳风形成的相互作用区(CIR)依次扫过STB和ACE卫星的时间差特性, 并统计分析了两颗卫星观测到的CIR参数的变化特征. 结果显示, 可以利用STB对CIR事件的观测来预测这个CIR事件到达ACE的理论时间, 时间误差均值和最大值分别为0.217d和0.952d, 时间误差的产生与STB和ACE卫星观测到的CIR速度大小的不同有关, 用速度差异矫正后, 时间误差的平均值和最大值可分别减小为0.194d 和0.489d; STB和ACE卫星观测的CIR事件太阳风速度最大值的线性相关系数达到了0.84, STB和ACE卫星观测到的CIR事件对特征物理量中速度、质子温度的变化最小, 而质子密度及总压力的变化最大. 分析结果表明, STB和ACE卫星观测到的CIR事件有很强的相似性, STB卫星的CIR观测可以作为ACE卫星观测CIR事件特征的参考, 从而为地球空间环境扰动预报提供依据.      

太阳风速度的周期结构分析

本文应用功率谱估计中的加窗法和最大熵法对第20太阳活动周太阳风速度的周期结构进行了频谱分析;为了克服太阳活动高年瞬变扰动的干扰,本文还用互相关滤波方法与谱分析进行了比较。得到如下结果:除了个别年代外,在太阳活动周的所有相位里,太阳风速度几乎都存在13天和27天两种主要周期变化成份。在一些年里,还有9天的周期成份存在。      

利用行星际监测数据进行地磁暴预报

利用全连接神经网络方法应用于地磁Dst指数的预报中.对ACE卫星探测的太阳风和行星际磁场及其变化对未来几小时的Dst指数的影响进行了统计分析,发现在这些行星际实测参数中,对Dst指数作用较为明显的是太阳风速度、太阳风质子密度和行星际磁场南向分量,同时,当前Dst指数实测值对今后几小时的Dst指数已有很强的制约作用.在统计分析的基础上,建立了全连接神经网络预报模型.由于采用了全连接神经网络结构,模式能够反映出太阳风、行星际磁场等参数与地磁Dst指数参数的复杂联系,可以自动建立输入参量的最佳组合方式,提高了预报精度.通过利用大量实测数据对神经网络模式进行训练,最终建立了利用优选的ACE卫星行星际监测数据提前2 h对Dst指数进行预报.通过检测,预报的误差为14.3%.      

太阳风温度-速度数据分布图中的多重条状结构

我们用美国全国空间科学数据中心(NSSDC)发布的等离子体参数的数据磁带,把由1975年第308天至1982年第141天每小时平均的太阳风质子温度和太阳风速度都点到同一图中,从而得到温度速度分布图(见图1)。由图可明显看到多重条状结构,这一结构有如下一些特点: 1.对应于较小温度的太阳风速度集中分布在9个分离的数值上。     

远磁尾磁层顶位形的偏转

利用WIND和ARTEMIS卫星观测数据，分析远磁尾磁层顶对行星际和太阳风变化的响应，尤其是偏离日地连线的太阳风速度改变对远磁尾磁层顶的影响.研究发现在2011年9月13日的事件中，P2卫星观测到高速且高密度的磁鞘流.利用最小变量法进行分析发现，磁层顶沿着偏离日地连线的太阳风速度方向发生偏转.根据相似三角形定理，推断出本次事件中磁层顶在y方向和z方向上的偏转幅度分别达到10R_e和6R_e.P1和P2卫星的相对位置也证实了这一观点.因此，偏离日地连线的太阳风速度对远磁尾磁层顶的位形影响很大.研究结果可为建立包含太阳风速度v_y和v_z效应的磁层顶模型提供观测证据.      

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.      

太阳风中磁重联的可能性及其观测证据

本文利用美国行星际监测卫星IMP-H和IMP-J同时在弓激波上游的极佳时机(1976年1月21日—22日)探测的结果, 比较了两个卫星同时测得的离子脉冲(E≥125keV/Q, Q≥1)的计数率和各向异性.分析表明在IMP-H比IMP-J离地球远的四个事件a—d中, a和b事件时, IMP-H上测得的计数率大于IMP-J上计数率, 各向异性从太阳指向地球;c事件时, IMP-J上计数率大于IMP-H上的测量值, 各向异性从太阳指向地球;d事件时, IMP-J上计数率大于IMP-H上的相应值, 各向异性改变方向, 从地球指向太阳.它们可以用太阳风中扇形边界样的磁场反转形态磁重联产生的高能粒子的假说来满意地得到解释.      

探测-2卫星发射升空

2004年7月25日,中国地球空间双星探测计划的第2颗卫星——探测-2卫星由改进型长征-2C火箭发射升空。探测-2是极轨卫星,主要探测太阳风能量和近地磁尾区能量向极区电离层和高层大气,以及电离层粒子向磁层传输的过程。它升空后和探测-1相互配合,构成星座式独立探测体系,对地球空间暴发生机制和发展规律进行立体探测。探测-2卫星发射升空@夏光     

以色列首颗雷达成像侦察卫星简介

□□以色列首颗雷达成像侦察卫星"技术合成孔径雷达"(TecSAR)已于2008年1月21日,由印度"极轨卫星运载火箭"(PSLV)发射升空.TecSAR卫星在升空后19min进入了近地点450km、远地点580km、倾角41°的预定初始轨道,最终机动到高约550km、倾角143.3°的太阳同步圆轨道,每天绕地球飞行15.22圈,重访周期为36天.     

嫦娥一号卫星太阳风离子探测器离子流量反演太阳风参数与初步结果分析

嫦娥一号卫星(Chang'E-1)上搭载的两台太阳风离子探测器(SWID-A/B)是国际上首次在200 km极月轨道观测等离子体环境的探测仪器.SWID-A/B的科学目标是探测月球附近等离子体与月球的相互作用,获得月球附近的太阳风速度、密度和温度.太阳风离子探测器的观测数据是各能量成分离子流量的直接反映,包含了太阳风离子的速度、密度和温度信息.本文设计了一种利用离子流量数据反演太阳风速度、密度和温度的算法,并通过模拟太阳风离子注入探测器的过程,验证了算法的可行性.对月球附近太阳风离子基本特征的分析研究表明,在太阳活动低年,空间环境扰动水平相对较低时,行星际太阳风运动到月球附近后依然保持着相同的变化趋势;太阳风离子的速度和密度与在上游行星际空间时相近;太阳风离子的温度则比在上游行星际空间时高103 K.     

On the time lag between solar wind dynamic parameters and solar activity UV proxies

The solar activity displays variability and periodic behaviours over a wide range of timescales, with the presence of a most prominent cycle with a mean length of 11 years. Such variability is transported within the heliosphere by solar wind, radiation and other processes, affecting the properties of the interplanetary medium. The presence of solar activity–related periodicities is well visible in different solar wind and geomagnetic indices, although their time lags with respect to the solar cycle lead to hysteresis cycles. Here, we investigate the time lag behaviour between a physical proxy of the solar activity, the Ca II K index, and two solar wind parameters (speed and dynamic pressure), studying how their pairwise relative lags vary over almost five solar cycles. We find that the lag between Ca II K index and solar wind speed is not constant over the whole time interval investigated, with values ranging from 6 years to $～$1 year (average 3.2 years). A similar behaviour is found also for the solar wind dynamic pressure. Then, by using a Lomb-Scargle periodogram analysis we obtain a 10.21-year mean periodicity for the speed and 10.30-year for the dynamic pressure. We speculate that the different periodicities of the solar wind parameters with respect to the solar 11-year cycle may be related to the overall observed temporal evolution of the time lags. Finally, by accounting for them, we obtain empirical relations that link the amplitude of the Ca II K index to the two solar wind parameters.     

Periodic Variations of Drag Coefficient for the ANDE Spherical Satellites During its Lifetime

A drag coefficient (C_D) inversion method is introduced to study the variations of the drag coefficient for orbital satellites with spherical geometry. Drag coefficients of the four micro satellites in the Atmospheric Neutral Density Experiment (ANDE) are compiled out with this new method. The Lomb-Scargle Periodgram (LSP) analysis of the four ANDE satellites' C_D series has shown that there are obvious 5, 7, 9, and 27 days' period in those data. Interesting results are found through comparing the LSP analysis with series of the daily solar radio flux at 10.7 cm (F_10.7 index), the Ap index, and the daily averaged solar wind speed at 1AU. All series in the same time interval have an obvious period of about 27 days, which has already been explained as the association with the 27 days' solar rotation. The oscillating periods less than 27 days are found in series of C_D, Ap and solar wind speed at 1AU, e.g., the 5, 7, 9 days period. However, these short periods disappeared in the time series of F_10.7 index. The same periodicities of 5, 7, 9 days in Ap and solar wind are presented at the same time interval during the declining phase of solar cycle 23. While in the ascending phase of solar cycle 24, these short oscillations are not so obvious as that in the declining phase of solar cycle 23. These results provide definite evidence that the C_D variations with period of 5, 7 and 9 days are produced by a combination of space weather effects caused by the solar wind and geomagnetic activity.      

On the correlation of the solar wind observed at the L5 point and at the Earth

The L5 point is a promising location for forecasting co-rotating high-speed streams in the solar wind arriving at the Earth. We correlated the solar wind data obtained by the Nozomi spacecraft in interplanetary space and by the Advanced Composition Explorer (ACE) at the L1 point, and found that the correlation is significantly improved from that of the 27-day recurrence of ACE data. Based on the correlation between the two spacecraft observations, we estimated the correlation of the solar wind velocity between the L5 point and at the Earth, and found that the correlation coefficient was about 0.78 in late 1999, while that of the 27-day recurrence was 0.51. Eighty-eight percent of the velocity difference falls within 100 km/s between the L5 point and the Earth. This demonstrates the potential capability of solar wind monitoring at the L5 point to forecast the geomagnetic disturbances 4.5 days in advance.     

基于小波与交叉小波分析的太阳黑子与宇宙线相关性研究

利用小波分析和交叉小波分析方法, 根据太阳黑子数以及Huancayo和Climax两个测站的月均宇宙线数据, 分析了两个测站的月均宇宙线周期变化, 同时利用太阳黑子数R₁₂对Climax站宇宙线流量进行预测研究. 小波分析结果表明, 太阳黑子与宇宙线除存在显著的11年周期外, 太阳活动高年期间还存在1～6个月尺度的周期特性, 在第22太阳周活动高年时还出现了6～8和1～22个月的变化周期; 交叉小波分析结果表明, 在130个月左右的周期上宇宙线与太阳黑子具有显著的负相关性, 并且宇宙线的变化滞后太阳黑子约8个月; 分别采用预测时刻和8个月前的太阳黑子数, 预测相对误差为3.8912%和3.2386%. 本文方法同样适用于估算其他空间天气参量之间的周期和相关性, 提高各种空间天气参量的预测或预报精度.      

2008—2009年电离层对重现型地磁活动的响应

利用2008—2009年的GPS TEC数据,分析了电离层对冕洞引起的重现型地磁活动的响应. 结果表明,在太阳活动低年,电离层TEC表现出与地磁 ap指数（采用全球3h等效幅度指数ap来表征）和太阳风速度相似的9天和13.5天短周期变化,表明TEC的这种短周期特性主要与重现型地磁活动相关. 地磁纬度和地方时分析表明,夜间高纬地区正负相扰动明显,中低纬地区则以正相扰动为主,较大的TEC变幅主要发生在南北半球高纬地区,夜间南半球高纬地区TEC变化相对ap指数变化有相位延迟. 白天中低纬地区正负相扰动明显,TEC短周期变化与ap指数变化相位基本一致. 2008年TEC的9天和13.5天周期变化幅度大于2009年.      

Modeling and experimental study of the 27-day variation of galactic cosmic-ray intensity for a solar wind velocity depending on heliolongitude

We develop a three-dimensional (3-D) model of the 27-day variation of galactic cosmic-ray (GCR) intensity with a spatial variation of the solar wind velocity. A consistent, divergence-free interplanetary magnetic field is derived by solving the corresponding Maxwell equations with a variable solar wind speed, which reproduces in situ observed experimental data for the time interval to be analyzed (24 August 2007–28 February 2008). We perform model calculations for the GCR intensity using the variable solar wind and the corresponding magnetic field. Results are compatible with experimental data; the correlation coefficient between our model predictions and observed 27-day GCR variation is 0.80 ± 0.05.     

27-day variation in solar-terrestrial parameters: Global characteristics and an origin based approach of the signals

The Earth and the near interplanetary medium are affected by the Sun in different ways. Those processes generated in the Sun that induce perturbations into the Magnetosphere-Ionosphere system are called geoeffective processes and show a wide range of temporal variations, like the 11-year solar cycle (long term variations), the variation of ～27?days (recurrent variations), solar storms enduring for some days, particle acceleration events lasting for some hours, etc.In this article, the periodicity of ～27?days associated with the solar synodic rotation period is investigated. The work is mainly focused on studying the resulting 27-day periodic signal in the magnetic activity, by the analysis of the horizontal component of the magnetic field registered on a set of 103 magnetic observatories distributed around the world. For this a new method to isolate the periodicity of interest has been developed consisting of two main steps: the first one consists of removing the linear trend corresponding to every calendar year from the data series, and the second one of removing from the resulting series a smoothed version of it obtained by applying a 30-day moving average. The result at the end of this process is a data series in which all the signal with periods larger than 30?days are canceled.The most important characteristics observed in the resulting signals are two main amplitude modulations: the first and most prominent related to the 11-year solar cycle and the second one with a semiannual pattern. In addition, the amplitude of the signal shows a dependence on the geomagnetic latitude of the observatory with a significant discontinuity at approx. ±60°.The processing scheme was also applied to other parameters that are widely used to characterize the energy transfer from the Sun to the Earth: F10.7 and Mg II indices and the ionospheric vertical total electron content (vTEC) were considered for radiative interactions; and the solar wind velocity for the non-radiative interactions between the solar wind and the magnetosphere. The 27-day signal obtained in the magnetic activity was compared with the signals found in the other parameters resulting in a series of cross-correlations curves with maximum correlation between 3 and 5?days of delays for the radiative and between 0 and 1?days of delay for the non-radiative parameters. This result supports the idea that the physical process responsible for the 27-day signal in the magnetic activity is related to the solar wind and not to the solar electromagnetic radiation.     

Application of BDS-GEO for studying TEC variability in equatorial ionosphere on different time scales

The Earth's ionosphere and especially its equatorial part is a highly dynamical medium. Geostationary satellites are known to be a powerful tool for ionospheric studies. Recent developments in BDS-GEO satellites allow such studies on the new level due to the best noise pattern in TEC estimations, which corresponds to those of GPS/GLONASS systems. Here we used BDS-GEO satellites to demonstrate their capability for studying equatorial ionosphere variability on different time scales. Analyzing data from the equatorial SIN1 IGS station we present seasonal variations in geostationary slant TEC for the periods of high (October 2013 - October 2014) and low (January 2017 - January 2018) solar activity, which show semi-annual periodicity with amplitudes about 10 TECU during solar maximum and about 5 TECU during the solar minimum. The 27-day variations are also prominent in geostationary slant TEC variations, which correlates quite well with the variations in solar extreme UV radiation. We found semi-annual pattern in small scale ionospheric disturbances evaluated based on geostationary ROTI index: maximal values correspond to spring and fall equinoxes and minimum values correspond to summer and winter solstices. The seasonal asymmetry in ROTI values was observed: spring equinox values were almost twice as higher than fall equinox ones. We also present results on the 2017 May 28–29 G3 geomagnetic storm, when ～30 TECU positive anomaly was recorded, minor and final major sudden stratospheric warmings in February and March 2016, with positive daytime TEC anomalies up to 15–20 TECU, as well as the 2017 September 6 X9.3 solar flare with 2 TECU/min TEC rate. Our results show the large potential of geostationary TEC estimations with BDS-GEO signals for continuous monitoring of space weather effects in low-latitude and equatorial ionosphere.     

太阳F10.7指数准27天振荡的小波分析

利用1956-2003年的F10.7日均值数据,采用Morlet小波变换方法,分析了准27天振荡的特征及与太阳活动11年周期(Schwabe周期)的关系.结果表明,F10.7的准27天振荡的幅度和周期存在明显的短期变化现象,不同年里变化的程度差别很大,有些年里起伏非常剧烈,在几天到几十天的很短时间里,幅度变化达十几倍,周期可变化数天,甚至发生十几天的突变;有些年里,幅度变化很大但起伏很小,周期也比较稳定.准27天振荡的年平均幅度存在明显的逐年变化,与太阳活动显著相关.一般说来,F10.7越高,准27天振荡的幅度就越大,然而在太阳活动19周峰年,F10.7比其他活动周的值都高,但准27天振荡的幅度却比其他活动周低.准27天振荡的周期也有明显的逐年变化,除了个别年(如1987年),年平均周期在24至31天之间变化,与太阳活动周期没有明显的关系.48年的平均周期为27.3天.从总体看,周期有逐渐缩短的趋势,48年里周期大约减少了1.5天.造成准27天振荡起伏的因素非常复杂,有待深入研究.