scholarly journals LoadDef: A Python‐Based Toolkit to Model Elastic Deformation Caused by Surface Mass Loading on Spherically Symmetric Bodies

2019 ◽  
Vol 6 (2) ◽  
pp. 311-323 ◽  
Author(s):  
Hilary R. Martens ◽  
Luis Rivera ◽  
Mark Simons
Keyword(s):  
Elastic Deformation ◽  
Spherically Symmetric ◽  
Mass Loading ◽  
Surface Mass

scholarly journals Basis functions for the consistent and accurate representation of surface mass loading

2017 ◽  
Author(s):  
Peter Clarke ◽  
David Lavallee ◽  
Geoffrey Blewitt ◽  
Tonie van Dam
Keyword(s):  
Basis Functions ◽  
Mass Loading ◽  
Surface Mass ◽  
Accurate Representation

scholarly journals Analysis of the Potential Contributors to Common Mode Error in Chuandian Region of China

2020 ◽  
Vol 12 (5) ◽  
pp. 751
Author(s):  
Weijie Tan ◽  
Junping Chen ◽  
Danan Dong ◽  
Weijing Qu ◽  
Xueqing Xu
Keyword(s):  
Time Series ◽  
Soil Moisture ◽  
Principal Component ◽  
Mass Loading ◽  
Common Mode ◽  
Surface Mass ◽  
Common Mode Error ◽  
Comparison Results ◽  
Wide Range ◽  
Gps Time Series

Common mode error (CME) in Chuandian region of China is derived from 6-year continuous GPS time series and is identified by principal component analysis (PCA) method. It is revealed that the temporal behavior of the CME is not purely random, and contains unmodeled signals such as nonseasonal mass loadings. Its spatial distribution is quite uniform for all GPS sites in the region, and the first principal component, uniformly distributed in the region, has a spatial response of more than 70%. To further explore the potential contributors of CME, daily atmospheric mass loading and soil moisture mass loading effects are evaluated. Our results show that ~15% of CME can be explained by these daily surface mass loadings. The power spectral analysis is used to assess the CME. After removing atmospheric and soil moisture loadings from the CME, the power of the CME reduces in a wide range of frequencies. We also investigate the contribution of CME in GPS filtered residuals time series and it shows the Root Mean Squares (RMSs) of GPS time series are reduced by applying of the mass loading corrections in CME. These comparison results demonstrate that daily atmosphere pressure and the soil moisture mass loadings are a part of contributors to the CME in Chuandian region of China.

scholarly journals Basis functions for the consistent and accurate representation of surface mass loading

2007 ◽  
Vol 171 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Peter J. Clarke ◽  
David A. Lavallée ◽  
Geoff Blewitt ◽  
Tonie van Dam
Keyword(s):  
Basis Functions ◽  
Mass Loading ◽  
Surface Mass ◽  
Accurate Representation

scholarly journals Annual variations in GPS‐measured vertical displacements near Upernavik Isstrøm (Greenland) and contributions from surface mass loading

2017 ◽  
Vol 122 (1) ◽  
pp. 677-691 ◽  
Author(s):  
Lin Liu ◽  
Shfaqat Abbas Khan ◽  
Tonie Dam ◽  
Joseph Ho Yin Ma ◽  
Michael Bevis
Keyword(s):  
Mass Loading ◽  
Surface Mass ◽  
Annual Variations ◽  
Vertical Displacements

scholarly journals Effect of Surface Mass Loading on Geodetic GPS Observations

2018 ◽  
Vol 8 (10) ◽  
pp. 1851 ◽  
Author(s):  
Zhen Li ◽  
Jianping Yue ◽  
Jiyuan Hu ◽  
Yunfei Xiang ◽  
Jian Chen ◽  
...  
Keyword(s):  
Wavelet Coherence ◽  
Mass Loading ◽  
Eurasian Plate ◽  
Surface Mass ◽  
Time Frequency ◽  
Gps System ◽  
System Errors ◽  
Gps Noise ◽  
Annual Time ◽  
Effect Of Surface

We investigated the effect of mass loading (atmospheric, oceanic and hydrological loading (AOH)) on Global Positioning System (GPS) height time series from 30 GPS stations in the Eurasian plate. Wavelet coherence (WTC) was employed to inspect the correlation and the time-variable relative phase between the two signals in the time–frequency domain. The results of the WTC-based semblance analysis indicated that the annual fluctuations in the two signals for most sites are physically related. The phase asynchrony at the annual time scale between GPS heights and AOH displacements indicated that the annual oscillation in GPS heights is due to a combination of mass loading signals and systematic errors (AOH modelling errors, geophysical effects and/or GPS system errors). Moreover, we discuss the impacts of AOH corrections on GPS noise estimation. The results showed that not all sites have an improved velocity uncertainty due to the increased amplitude of noise and/or the decreased spectral index after AOH corrections. Therefore, the posterior mass loading model correction is potentially feasible but not sufficient.

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