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Quantitative analysis of geophysical sources of common mode component in CMONOC GPS coordinate time series

机译:CMONOC GPS坐标时间序列中共模分量地球物理源的定量分析

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Common mode component (CMC) commonly exists in GPS coordinate time series, and its sources are still under investigation. It is challenging to quantify sources of CMC. This paper explores the sources of CMC and geophysical effects, including environmental loading and thermal expansion, on the Crustal Movement Observation Network of China (CMONOC) GPS coordinate time series. The CMCs of CMONOC time series are calculated using a correlation weighted stacking filtering method both before and after applying environmental loading and thermal expansion corrections, and the spectral characteristics of the CMC and the effects of these two geophysical factors on the CMC of CMONOC coordinate time series are then analyzed. The results indicate that environmental loading mainly affects the vertical component of the CMC, and it is not significant for the horizontal components. The reduction of the root mean square (RMS) of the CMC can be up to 1.5 mm in the vertical component and is less than 0.2 mm in the horizontal components. However, the effect of thermal expansion is not significant. The average RMS variation caused by thermal expansion correction of the CMC is less than 0.1 mm. The correlation coefficients are used as indicators of the CMC variation. The results show that the vertical coefficients generally decreased by an average of 28.8% after applying environmental loading correction, which indicates that the CMC is reduced by the environmental loading correction. In conclusion, approximately 20% reduction of the RMS of CMC by the environmental loading correction indicates that environmental loading is one of the main potential sources of the CMC in the vertical component and that thermal expansion may not be a major source of CMC. The results help explain the sources of CMC and can be used to improve the signal-to-noise ratio of GPS data.
机译:共模分量(CMC)通常存在于GPS坐标时间序列中,其来源仍在研究中。量化CMC的来源具有挑战性。本文探讨了中国地壳运动观测网络(CMONOC)GPS坐标时间序列上的CMC和地球物理效应的来源,包括环境负荷和热膨胀。在应用环境载荷和热膨胀校正前后,均使用相关加权叠加滤波方法计算CMONOC时间序列的CMC,以及CMC的光谱特征以及这两个地球物理因素对CMONOC坐标时间序列的CMC的影响。然后进行分析。结果表明,环境负荷主要影响CMC的垂直分量,而对于水平分量则无意义。 CMC的均方根(RMS)的减小在垂直方向上最大为1.5 mm,在水平方向上最大为0.2 mm。但是,热膨胀的影响并不明显。由CMC的热膨胀校正引起的平均RMS变化小于0.1毫米。相关系数用作CMC变化的指标。结果表明,应用环境负荷校正后,垂向系数通常平均下降28.8%,这表明通过环境负荷校正可以减小CMC。总之,通过环境负荷校正将CMC的RMS降低了约20%,这表明环境负荷是垂直组件中CMC的主要潜在来源之一,并且热膨胀可能不是CMC的主要来源。结果有助于解释CMC的来源,并可用于提高GPS数据的信噪比。

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