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首页> 外文期刊>Journal of geodynamics >Polar motion influences in the gravity data recorded by superconducting gravimeters
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Polar motion influences in the gravity data recorded by superconducting gravimeters

机译：极运动对超导重力仪记录的重力数据的影响

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Gravity data stored in the GGP database (GGP-ISDC) are used to study the small gravity variations caused by polar motion. In a first step the dominant tidal signal and the instrumental drift have to be eliminated from the gravity data. In most cases it is sufficient to model the instrumental drift by polynomials of low degree. The resulting non-tidal gravity variations are split up into their main constituents by fitting two sinusoidal waves with periods of 365.25 days (annual wobble) and 432 days (Chandler wobble). In a similar way the gravity effect of the observed polar motion (IERS-Data) is processed. The ratio between the correspondent amplitudes gives the amplitude factors δ of both wobbles.rnIn a more sophisticated model an additional annual wave was included, destined to absorb disturbing influences with annual period (e.g. environmental influences of different origin). The amount of these influences and the success of their elimination are very different at the individual stations.rnBesides the comparison of the amplitude factors it also was tried to compare the gravity residuals itself. For that purpose the data series recorded at the different stations were transferred to a common reference point (0°E, 45°N). The graph of the stacked data series gives a first impression of the accordance of the data series recorded at the different stations. Since randomly distributed disturbing influences are reduced by the averaging the amplitude factors derived from the mean of the stacked data series are more reliable than the values derived from the data at the individual stations.rnIn the end 12 data series were included in a common processing. Amplitude factors of 1.183 for the annual and 1.168 for the Chandler wobble result with mean errors less than ±0.010 (roughly estimated). Although corrections for environmental influences were not included directly, the additionally fitted annual wave reduced the scatter of the amplitude factors in the annual range considerably. In contrast to that the amplitude factor of the Chandler wobble remains nearly unaffected, confirming the assumption that the disturbing environmental influences do not extend into the period range of the Chandler wobble.
机译：GGP数据库（GGP-ISDC）中存储的重力数据用于研究由极运动引起的微小重力变化。第一步，必须从重力数据中消除主要的潮汐信号和仪器漂移。在大多数情况下，通过低次多项式对仪器漂移进行建模就足够了。通过拟合两个正弦波，分别产生365.25天（年度摆动）和432天（钱德勒摆动）的周期，将产生的非潮汐重力变化分成主要成分。以类似的方式处理观察到的极坐标运动的引力效应（IERS-Data）。相应振幅之间的比率给出了两个摆动的振幅因子。在一个更复杂的模型中，还包括一个附加的年波，该年波注定要吸收年周期的干扰影响（例如，不同来源的环境影响）。这些影响的大小以及消除这些影响的成功程度在各个站点上有很大的不同。除了比较振幅因子之外，还尝试比较重力残差本身。为此，将在不同站点上记录的数据序列传输到一个公共参考点（0°E，45°N）。堆叠数据序列的图形给人的印象是，记录在不同工作站的数据序列是一致的。由于通过平均减少了随机分布的干扰影响，因此，从堆叠数据序列的均值得出的幅度因子比从各个站的数据得出的值更可靠。在最后，12个数据序列包含在通用处理中。每年的振幅因子为1.183，钱德勒摆动的振幅因子为1.168，平均误差小于±0.010（粗略估计）。尽管没有直接包括对环境影响的校正，但额外拟合的年波极大地减少了幅度系数在年范围内的分散。与此相反，钱德勒摆动的幅度因子几乎未受影响，从而确认了干扰环境影响不会扩展到钱德勒摆动的周期范围的假设。

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