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国家自然科学基金(40904080)

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相关机构:中国人民解放军理工大学气象海洋学院更多>>
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低轨航天器弹道系数估算及热层大气模型误差分析被引量:6
2014年
利用低轨(LEO)航天器在轨期间两行轨道根数(TLEs)数据,结合经验大气密度模型NRLMSISE00,反演计算得到其在轨期间的弹道系数B’,以31年B’的平均值代替弹道系数真值,分别通过标准球形目标卫星对比以及物理参数基本相同的非球形目标卫星对比,对弹道系数真值进行了检验;利用不同外形目标卫星弹道系数在不同太阳活动周内的变化规律,结合太阳和地磁活动变化,估计经验大气密度模型的误差分布.结果表明,利用反演弹道系数31年的平均值来代替真值,其在理论值的正常误差范围内;大气密度模型误差在210~526km高度范围内存在相同的变化趋势,且模型误差随高度增加而增大;在短周期内B’变化与太阳活动指数no.r存在反相关性;密度模型不能有效模拟2008年出现的大气密度异常低.以上结果表明,经验大气密度模型结果需要修正,尤其是在太阳活动峰年和谷年,此外,磁暴期间模型误差的修正对卫星定轨和轨道预报等也具有重要意义.
漆亚龙李汇军项杰满海钧
关键词:大气模型
Periodic Variations of Drag Coefficient for the ANDE Spherical Satellites During its Lifetime
2013年
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 10.7cm(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 1 AU,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.
QI YalongLI HuijunXIANG JieMAN Haijun
关键词:PERIODICITY
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