首页> 外文期刊>Journal of Geophysical Research, A. Space Physics: JGR >Annual and semiannual variations of thermospheric density: EOF analysis of CHAMP and GRACE data
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Annual and semiannual variations of thermospheric density: EOF analysis of CHAMP and GRACE data

机译:热圈密度的年度和半年度变化:CHAMP和GRACE数据的EOF分析

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In this paper, observations from CHAMP and GRACE during 2002-2010 are used to study the seasonal variations of thermospheric density by characterizing the dominant modes of thermospheric density variability as empirical orthogonal functions (EOFs). Our results showed that the first three EOFs captured most of the density variability, which can be as large as 98% of total density variability. Subsequently, the obtained mean field, first three EOFs and the corresponding amplitudes of three EOFs are applied to construct a thermospheric density model at 400 km to study seasonal variations of thermospheric density under geomagnetically quiet conditions. Thermospheric density shows strong latitudinal dependence in seasonal variation, although it usually has maxima near the equinoxes and minimum in the local winter at middle and high latitudes. Semiannual variations imbedded in the annual variations are seen at all latitudes; annual variations however become dominant in the southern hemisphere. Specifically, the observations show that the annual amplitude can reach as large as 40-50% of the annual mean at high latitudes in the southern hemisphere and it decreases gradually from the southern to northern hemisphere. The semiannual component to the annual mean is about 15-20% without significant latitudinal dependence. Additionally, the relative amplitudes of annual and semiannual variations in the MSISE00 density agree fairly well with the observations, albeit the MSISE00 gives an opposite solar activity dependence for the annual and semiannual variations compared with the positive F107 dependence seen in the observations.
机译:在本文中,通过将2002-2010年CHAMP和GRACE的观测值通过将热球密度变化的主要模式表征为经验正交函数(EOFs)来研究热球密度的季节性变化。我们的结果表明,前三个EOF捕获了大多数密度变异性,可高达总密度变异性的98%。随后,将获得的平均场,前三个EOF和三个EOF的相应振幅用于构建400 km处的热层密度模型,以研究地磁安静条件下热层密度的季节性变化。尽管热球密度通常在春分点附近具有最大值,而在中纬度和高纬度的局部冬季具有最小值,但在季节变化中热纬密度显示出强烈的纬度依赖性。在所有纬度上都可以看到包含在年度变化中的半年变化。然而,年度变化在南半球占主导地位。具体而言,观测结果表明,在南半球高纬度地区,年振幅可达到年均值的40-50%,并且从南半球到北半球逐渐减小。年平均值的半年度成分约为15-20%,而没有明显的纬度依赖性。此外,MSISE00密度的年度和半年度变化的相对幅度与观测值非常吻合,尽管与观测值中的正F107依赖性相比,MSISE00给出了年度和半年度变化的相反太阳活动依赖性。

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