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.      

武汉站第23周电离层TEC与太阳及地磁活动的相关性分析

利用武汉电离层观测站1997-2007年电离层TEC资料, 采用连续小波变换和交叉小波以及小波相干方法, 分析了该站电离层TEC的周期变化特征以及与太阳和地磁活动之间的关系. 分析结果表明, 武汉站TEC变化的长期趋势主要随太阳活动的强弱而变化; 在局部时域上分别存在128～256d, 256～512d和512d～1024d的周期尺度, 且与同时期的太阳黑子数和地磁Dst指数的周期特征存在很好的对应关系; 太阳黑子数在512～1024d周期尺度上超前TEC变化约1/6个周期; 在准半年的周期尺度上武汉站TEC与地磁Dst指数几乎呈反相位变化, 但TEC对$Dst$指数的这种响应仅在太阳活动高年存在, 具体机理尚需进一步分析研究.      

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.      

地磁暴前地面宇宙线强度变化Morlet小波特征分析

用Morlet小波变换对Oulu台站和Apatity台站(主要是Apatity台站)1998-2002年间宇宙线静日和地磁暴前的地面宇宙线强度变化特征进行分析，得到：在宇宙线静日期间普遍存在准24h周期变化特征，并且在当地时间0200，1400左右分别出现最小值和最大值；对12个例子的分析可以看到地面宇宙线强度在地磁暴之前l-2天均出现了不同于宇宙线静日期间变化特征，或有小尺度周期出现，或周期变化完全消失，或有异常24h周期变化，这种变化特征在一定程度上可作为地磁预报的先兆特征之一。     

电离层N_mF_2的准27天变化

利用1969-1980年期间东亚和澳大利亚扇区不同地磁纬度11个台站的电离层垂直探测数据,采用带通滤波的方法,分析了白天NmF2的准27天变化特征及其与太阳活动指数F10.7的相关关系.结果表明,在大多数年里,太阳活动指数F10.7和NmF2的短周期(2～70天)频谱中,27天周期附近都出现明显的极大值;在27天波段,F10.7和NmF2的标准偏差有逐年变化特征,F10.7的平均标准偏差为10.9%,NmF2 的标准偏差随地磁纬度变化,赤道地区最小,纬度越高标准偏差越大,11个站的平均标准偏差为8.2%;在27天波段,NmF2与F10.7存在显著的相关,在0.05的显著水平下,显著相关的概率在90%以上;NmF2相对于F10.7的准27天变化平均滞后2天左右;从总体上看,太阳EUV辐射的准27天变化是造成NmF2准27天变化的主要原因.     

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.      

太阳活动对电离层TEC变化影响分析ormalsize

为研究太阳活动对电离层TEC变化的影响,从整体到局部分析了2000—2016年的太阳黑子数、太阳射电流量F_10.7指数日均值与电离层TEC的关系,并重点分析了2017年9月6日太阳爆发X9.3级特大耀斑前后15天太阳活动与电离层TEC变化的相关性.结果表明:由2000—2016年的数据整体看来,太阳黑子数、太阳F_10.7指数、TEC两两之间具有很强的整体相关性,但局部相关性强弱不均;此次耀斑爆发前后太阳黑子数、太阳F_10.7指数和TEC具有很强的正相关特性,太阳活动对TEC的影响时延约为2天;太阳活动对全球电离层TEC的影响不同步,从高纬至低纬约有1天的延迟,且对低纬度的影响远大于中高纬度.太阳活动是影响电离层TEC变化的主要原因,但局部也可能存在其他重要影响因素.      

利用EMD方法提取太阳活动周期成分

EMD(经验模态分解)方法在处理非线性及非平稳时间序列时表现出了很大的优势和应用潜力.利用EMD方法研究太阳活动周期,对110年(1894-2003)和55年(1949-2003)的太阳黑子数月均值进行分解,分别得到一系列模式和一个趋势项,其中都可能包含有1.3至1.4年周期分量,25至30个月QBO(准双年振荡)分量,11年太阳周分量和22年Hale周分量.其中11年周期分量幅度最大,变化特征与太阳黑子数原始数据具有很高的相似性.不同于传统方法,EMD方法给出了太阳活动在不同时间尺度上各自分离的变化特征.      

地磁Ap指数滞后太阳周循环分析

把1932-2006年地磁Ap指数12个月流动均值分解成为(Ap)R和(Ap)I.其中(Ap)R为太阳黑子数R的线性函数,与太阳黑子数R相位相同,可能对应于日冕物质抛射(CME)等地磁控制因素. (Ap)I分量与太阳黑子数R相位相差约180°,该分量可能对应于极冕洞变化(从太阳峰年开始,由日面极区逐渐向赤道延伸).以地磁Ap指数与太阳黑子数R滞后非常严重的第20太阳周为例,证实了(Ap)I分量与极冕洞向赤道延伸循环变化相对应.因此极冕洞循环变化可能是导致地磁扰动指数与太阳周循环相位不一致,出现滞后现象的一个十分重要原因.      

太阳活动对电离层TEC变化影响分析

为研究太阳活动对电离层TEC变化的影响,从整体到局部分析了2000-2016年的太阳黑子数、太阳射电流量F_(10.7)指数日均值与电离层TEC的关系,并重点分析了2017年9月6日太阳爆发X9.3级特大耀斑前后15天太阳活动与电离层TEC变化的相关性.结果表明:由2000-2016年的数据整体看来,太阳黑子数、太阳F_(10.7)指数、TEC两两之间具有很强的整体相关性,但局部相关性强弱不均;此次耀斑爆发前后太阳黑子数、太阳F_(10.7)指数和TEC具有很强的正相关特性,太阳活动对TEC的影响时延约为2天;太阳活动对全球电离层TEC的影响不同步,从高纬至低纬约有1天的延迟,且对低纬度的影响远大于中高纬度.太阳活动是影响电离层TEC变化的主要原因,但局部也可能存在其他重要影响因素.     

Solar terrestrial effects of two distinct types

The occurrence frequencies or fluxes of most of the solar phenomena show a 11-year cycle like that of sunspots. However, the average characteristics of these phenomena may not show a 11-year cycle. Among the terrestrial parameters, some related directly to the occurrence frequencies of solar phenomena (for example, ionospheric number densities related to solar EUV fluxes which show 11-year cycle like sunspots) show 11-year cycles, including the double-peak structures near sunspot maxima. Other terrestrial parameters related to average characteristics may not show 11-year sunspot cycles. For example, long-term geomagnetic activity (Ap or Dst indices) is related to the average interplanetary solar wind speed V and the total magnetic field B. The average values of V depend not on the occurrence frequency of ICMEs and/or CIRs as such, but on the relative proportion of slow and high-speed events in them. Hence, V values (and Ap values) in any year could be low, normal or high irrespective of the phase of the 11-year cycle, except that during sunspot minimum, V (and Ap) values are also low. However, 2–3 years after the solar minimum (well before sunspot maximum), V values increase, oscillate near a high level for several years, and may even increase further during the declining phase of sunspot activity, due to increased influence of high-speed CIRs (corotating interplanetary regions). Thus, Ap would have no fixed relationship with sunspot activity. If some terrestrial parameter shows a 11-year cycle, chances are that the solar connection is through the occurrence frequencies (and not average characteristics) of some solar parameter.     

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。      

Forecasting the 23 and 24 solar cycles on the basis of MGM spectrum

A new method of nonlinear spectral analysis (called the method of global minimum: MGM), based on the best presentation (in sense of minimal squares) of a given time data set as a sum of sinusoids whose frequencies, amplitudes and phases are to be determined, has been used to find periodicities in annual Wolf sunspot numbers (W) during the period 1700–1995. The possible future behaviour of the 11-year solar cycle (based on an extrapolation of the calculated model) is also presented. The main characteristics of the 23^rd solar cycle are as follows: the W maximum occurs about 2004, with a peak of nearly 220. An unusually large value of W will occur during the 23^rd cycle, which should be characterised by the longest maximum, specifically, W will be greater than 100 during the 11-year period from 1997 to 2007. The first sharp rise will occur during the period 1996–1998, the second sharp during 2002–2004. The main features of the 24 year cycle are as follows: the next minimum in W, associated with the 24^th solar cycle, should occur in the year 2008 and the maximum in 2014. W is expected to peak at about 180. The minimum value for the 25^th year cycle is expected to occur in the year 2019. It is shown that the accuracy of these predictions depends, first of all, on the extrapolation of the hyperlong harmonic of the calculated polyharmonic model fit of observed annual sunspot numbers during the period 1700–1995. The error bars in the definition of the maximum and minimum epochs can be as large as two years.     

An empirical approach to predicting the key parameters for a sunspot number cycle

The common methodologies used to predict the smooth sunspot number (SSN) at peak (Rmax) and the rise time (Tr) for a cycle are noted. The estimates based on geomagnetic precursors give the best prediction of Rmax for five SSN cycles (20–24). In particular, an empirical technique invoking three-cycle quasi-periodicity (TCQP) in Ap index has made accurate predictions of Rmax and Tr for two consecutive SSN cycles (23 and 24). The dynamo theories are unable to account for TCQP. If it endures in the 21st century the Sun shall enter a Dalton-like grand minimum. It was a period of global cooling. The current status of the ascending phase of cycle 24 is described and the delayed reversal of the solar polar field reversal in the southern hemisphere in September 2013 is noted.     

Phase asynchrony between coronal index and sunspot numbers

In this paper, the phase asynchrony between coronal index and sunspot numbers is investigated. It is found that, (1) the sunspot numbers begin one month earlier than coronal index, which should mathematically lead to phase asynchrony between them but with a slight effect; (2) the 11-year Schwabe cycle is the only one period with statistical significance for coronal index and sunspot numbers, and the difference between the length of the Schwabe cycle of them should also lead to phase asynchrony between them; (3) although coronal index and sunspot numbers are coherent in low-frequency components corresponding to the 11-year Schwabe cycle, they are asynchronous in phase in high-frequency components; (4) their different definitions and physical meanings may be a major reason why there is a phase asynchrony between them.     

Specific features of the high-speed plasma stream cycles

The high-speed plasma streams in the solar wind are investigated during the solar cycles nos. 20–22 (1964–1996), separately on the two types of streams according to their solar origin: the HSPS produced by coronal holes (co-rotating) and the flare-generated, in keeping with the classification made in different catalogues. The analysis is performed taking into account the following high-speed stream parameters: the durations (in days), the maximum velocities, the velocity gradients and, the importance of the streams. The time variation of these parameters and the high-speed plasma streams occurrence rate show an 11-year periodicity with some differences between the solar cycles considered. A detailed analysis of the high-speed stream 11-year cycles is made by comparison with the “standard” cycles of the sunspot relative number (Wolf number). The different behaviour of the high-speed stream parameters between even and odd solar cycles could be due to the 22-year solar magnetic cycle. The increased activity of the high-speed plasma streams on the descendant phases of the cycles, regardless of their solar sources, proves the existence of some special local conditions of the solar plasma and the magnetic field on a large scale that allow the ejection of the high energy plasma streams. This fact has led us to the analysis the stream parameters during the different phases of the solar cycles (minimum, ascendant, maximum and, descendant) as well as during the polar magnetic field reversal intervals. The differences between the phases considered are pointed out. The solar cycles 20 and 22 reveal very similar dynamics of the flare-generated and also co-rotating stream parameters during the maximum, descendant and reversal intervals. This fact could be due to their position in a Hale Cycle (the first component of the 22-year solar magnetic cycle). The 21st solar cycle dominance of all co-rotating stream parameters against the 20th and 22nd solar cycle ones, during almost all phases, could be due to the same structure of a Hale Cycle – solar cycle 21 is the second component in a 22-year SC. During the reversal intervals, all high-speed stream parameters have comparable values with the ones of the maximum phases of the cycles even if this interval contains a small part of the descendant branch (solar cycles 20 and 22).     

高层大气原子氧的半年周变

地球高层大气成分的长期变化受太阳黑子周、太阳活动程度和地磁活动程度等诸多因子所控制．本文利用国外有关高层大气成分的数据,分别讨论受上述控制因子影响的高层大气成分长期变化,讨论范围仅限原子氧半年周期变化．选用LDEF在轨飞行器1984年4月—1990年1月高度470km附近的长期资料进行统计分析,结果表明,高度470km附近原子氧在年平均太阳黑子数＜20、太阳活动程度相对低而平稳期间,半年周期的变化尤为明显,相对变幅约为40％—60％、井随平均太阳黑子数增加而增大．而年平均太阳黑子数峰值的1989年期间（＞120）,半年变化的相对变幅可达87％左右．     

Preliminary forecast for the peak of solar activity cycle 24

Our forecast for the development phase of solar cycle 23 came out to be true; one of the very few to have attained this status out of several forecasts made. We review the details of the forecast and how it fared as the events unfolded in time. We note the present status of IMF intensity B and the planetary index Ap. We draw inferences as to what to expect for the development phase of cycle 24; several forecasts have already been made, they cover all possible scenarios, ranging from a very active to the quietest cycle in a century. Our preliminary forecast for the smoothed sunspot number at cycle 24 maximum is 101 ± 5, indicating that cycle 24 will be about 20% less active than cycle 23; the possibility that next three solar cycles may be progressively less active cannot be ruled out.