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ACE和STEREO-B太阳风速度的统计分析
引用本文:宋丹,薛炳森,程国生.ACE和STEREO-B太阳风速度的统计分析[J].空间科学学报,2014,34(1):1-10.
作者姓名:宋丹  薛炳森  程国生
作者单位:1.南京信息工程大学数学与统计学院 南京 210044
基金项目:公益性行业(气象)科研专项经费项目资助(GYHY200906013)
摘    要:采用小波分析方法讨论了2008—2011年ACE和STEREO-B卫星太阳风速度的27天周期特性,运用一元线性回归分析方法计算了两颗卫星太阳风速度的线性表达式,分析和计算结果表明,ACE和STEREO-B卫星探测到的太阳风速均在8~16d,16~32d的频域尺度上较为显著,在局部相同时域上,二者太阳风速的27天周期均较为显著;当太阳活动为低年时,相关性好. 作为应用实例,使用STEREO-B卫星太阳风探测数据,预测2012年10月1—17日的ACE太阳风速度,结果表明,预测值与实测值趋势一致,CME过程对预测值有一定影响. 通过本项研究,初步统计出了ACE与STEREO-B太阳风速度的关系,利用STEREO-B能够提前数天监测到即将由太阳吹向地球的太阳风特性,为建立直观的重现型地磁暴中期预报模型奠定了基础. 

关 键 词:ACE卫星    STEREO-B卫星    太阳风速度    小波分析
收稿时间:2013-01-15

Statistical analysis of solar wind velocity from ACE and STEREO-B satellites
Institution:1.College of Math and Statistics, Nanjing University of Information Science and Technology, Nanjing 2100442.National Satellite Meteorology Center, Beijing 100081
Abstract:The wavelet analysis method was used to discuss the 27-day periodicities characteristic of the solar wind speed detected by ACE and STEREO-B satellites from the year of 2008 to 2011. Using the method of unary linear regression, the linear equation of solar wind speed is calculated. From the analysis and calculation results detected by ACE and STEREO-B, it is shown that the solar wind speed in 8~16d and 16~32d frequency domain is significant. The solar wind speed detected by the two satellites presents significant 27-day periodicities in parts of the same frequency domain. And it presents better correlation in the year when solar activity is low. As an application example, solar wind data detected by STEREO-B is applied to predict the solar wind speed of ACE from 1 to 17 in October, 2012. The results show that the trend of predicted values and measured values are consistent, although the CME has a certain influence on the predicted values. Through this research, the relationship of solar wind speed detected by ACE and STEREO-B satellites was preliminarily studied, and the solar wind speed was detected by STEREO-B a few days before it came to the Earth. This work laid the foundation to establish the medium-term forecast models for the non-recurrent geomagnetic storms. 
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