On the nature of GPS draconitic year periodic pattern in multivariate position time series
On the nature of GPS draconitic year periodic pattern in multivariate position time series
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DOI：
10.1002/jgrb.50199
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发表时间：
2013-05-01
影响因子：
3.9
通讯作者：
Amiri-Simkooei, A. R.
中科院分区：
文献类型：
--
作者：
Amiri-Simkooei, A. R.
使用GPS的板块构造研究需要对时间序列进行适当的分析，其中所有的功能效应都被理解，所有的随机效应都使用适当的噪声评估技术来捕获。这两个问题都在这方面的贡献。估计的空间相关性，时间相关噪声，和多元功率谱的每日位置时间序列的350，150，和50个永久GPS站，分别收集在2000-2007年，1998-2007年，和1996-2007年。每日的GPS全球解由喷气推进实验室的GPS分析中心处理。通过将时间和空间相关的噪声包括到最小二乘功率谱中来提高共模信号的检测功率。在多变量分析中识别了先前的信号，例如周期为13.63、14.2、14.6和14.8天的信号。在该序列中检测到周期为351.6 ± 0.2天的显著信号及其高次谐波，与GPS龙年密切相关。北、东、上三个分量的周期变化幅度分别约为3、3.2和6.5mm。三个独立的标准证实，这种周期性的模式是在相邻的站，表示其独立的车站相关的影响，如多径的类似性质。这很可能是由于GPS龙年周期进入GPS时间序列的其他原因。多变量功率谱显示了一组周期为5 - 6天的信号（准周期信号）。在它们的混叠形式中，这些效应可能部分地对时间相关噪声负责，部分地对较低频率下的周期性图案负责。
Plate tectonics studies using GPS require proper analysis of time series, in which all functional effects are understood and all stochastic effects are captured using an appropriate noise assessment technique. Both issues are addressed in this contribution. Estimates of spatial correlation, time correlated noise, and multivariate power spectrum for daily position time series of 350, 150, and 50 permanent GPS stations, respectively, collected between 2000-2007, 1998-2007, and 1996-2007 are obtained. The daily GPS global solutions were processed by the GPS Analysis Center at JPL. The detection power of the common-mode signals is improved by including the time- and space-correlated noise into the least squares power spectrum. Previous signals, such as those with periods of 13.63, 14.2, 14.6, and 14.8days, are identified in the multivariate analysis. Significant signal with period of 351.60.2days and its higher harmonics are detected in the series, which closely follows the GPS draconitic year. The variation range of this periodic pattern for the north, east, and up components are about 3, 3.2, and 6.5mm, respectively. Three independent criteria confirm that this periodic pattern is of similar nature at adjacent stations, indicating its independence of the station-related effects such as multipath. It is likely due to the other causes of the GPS draconitic year period driven into GPS time series. The multivariate power spectrum shows a cluster of signals with periods ranging from 5 to 6days (quasiperiodic signals). In their aliased forms, the effects are likely partly responsible for the time-correlated noise and partly for the periodic patterns at lower frequencies.