TY - JOUR
T1 - Noise analysis for environmental loading effect on GPS position time series
AU - He, Xiaoxing
AU - Montillet, Jean Philippe
AU - Hua, Xianghong
AU - Yu, Kegen
AU - Jiang, Weiping
AU - Zhou, Feng
PY - 2017
Y1 - 2017
N2 - This paper focusses on the impact of environment mass loading on GPS time-series of position changes and noise characteristic. We make use of position time series of 206 GPS station ranging from 2001 to 2013 globally distributed. Firstly, we investigate the spatio-temporal pattern of mass loadings based on QLM dataset. The results show that loading effect is significant for short time series, and the instantaneous impact cannot be ignored especially in high-precision geophysical studies. Meanwhile, the results indicate that loading effect behaves with regional difference in spatial scale, and this explains why there exist significant differences on the contribution of environmental loading on GPS time series in the scientific community. Secondly, among 90% of the stations the weighted root mean square (WRMS) is reduced after applying the loading correction based on QLM model, improving the accuracy of GPS time series. Finally, we quantify the stochastic of GPS time series. The results show that the noise model of GPS time series can be described by a various combination of those models, mainly by FN+WN model and PL+WN model. From our statistics, we can conclude that the best noise models are either white and flicker or white and power-law. Environment loading has a significant impact on the stochastic noise properties of GPS time series, on 33%, 15%, and 39% of the station’s noise properties (noise types) have been changed after loading correction for NEU components, respectively. Environment loading is one of the factor that ‘raw’ GPS time series exhibited Gauss Markov noise properties. Furthermore, the impact of environmental loading on GPS site velocity cannot be ignored; this is particularly significant for the vertical component.
AB - This paper focusses on the impact of environment mass loading on GPS time-series of position changes and noise characteristic. We make use of position time series of 206 GPS station ranging from 2001 to 2013 globally distributed. Firstly, we investigate the spatio-temporal pattern of mass loadings based on QLM dataset. The results show that loading effect is significant for short time series, and the instantaneous impact cannot be ignored especially in high-precision geophysical studies. Meanwhile, the results indicate that loading effect behaves with regional difference in spatial scale, and this explains why there exist significant differences on the contribution of environmental loading on GPS time series in the scientific community. Secondly, among 90% of the stations the weighted root mean square (WRMS) is reduced after applying the loading correction based on QLM model, improving the accuracy of GPS time series. Finally, we quantify the stochastic of GPS time series. The results show that the noise model of GPS time series can be described by a various combination of those models, mainly by FN+WN model and PL+WN model. From our statistics, we can conclude that the best noise models are either white and flicker or white and power-law. Environment loading has a significant impact on the stochastic noise properties of GPS time series, on 33%, 15%, and 39% of the station’s noise properties (noise types) have been changed after loading correction for NEU components, respectively. Environment loading is one of the factor that ‘raw’ GPS time series exhibited Gauss Markov noise properties. Furthermore, the impact of environmental loading on GPS site velocity cannot be ignored; this is particularly significant for the vertical component.
KW - environmental loading effect
KW - noise analysis
KW - Maximum Likelihood Estimation
UR - http://www.scopus.com/inward/record.url?scp=85014681979&partnerID=8YFLogxK
U2 - 10.13168/AGG.2016.0034
DO - 10.13168/AGG.2016.0034
M3 - Article
AN - SCOPUS:85014681979
VL - 14
SP - 131
EP - 142
JO - Acta Geodynamica et Geomaterialia
JF - Acta Geodynamica et Geomaterialia
SN - 1214-9705
IS - 1
ER -