Influences of environmental loading corrections on the nonlinear variations and velocity uncertainties for the reprocessed global positioning system height time series of the crustal movement observation network of China

Peng Yuan, Zhao Li, Weiping Jiang, Yifang Ma, Wu Chen, Nico Sneeuw

Research output: Journal article publicationJournal articleAcademic researchpeer-review

16 Citations (Scopus)


Mass redistribution of the atmosphere, oceans, and terrestrial water storage generates crustal displacements which can be predicted by environmental loading models and observed by the Global Positioning System (GPS). In this paper, daily height time series of 235 GPS stations derived from a homogeneously reprocessed Crustal Movement Observation Network of China (CMONOC) and corresponding loading displacements predicted by the Deutsche GeoForschungsZentrum (GFZ) are compared to assess the effects of loading corrections on the nonlinear variations of GPS time series. Results show that the average root mean square (RMS) of vertical displacements due to atmospheric, nontidal oceanic, hydrological, and their combined effects are 3.2, 0.6, 2.7, and 4.0 mm, respectively. Vertical annual signals of loading and GPS are consistent in amplitude but different in phase systematically. The average correlation coefficient between loading and GPS height time series is 0.6. RMS of the GPS height time series are reduced by 20% on average. Moreover, an investigation of 208 CMONOC stations with observing time spans of ~4.6 years shows that environmental loading corrections lead to an overestimation of the GPS velocity uncertainty by about 1.4 times on average. Nevertheless, by using a common mode component filter through principal component analysis, the dilution of velocity precision due to environmental loading corrections can be compensated.
Original languageEnglish
Article number958
JournalRemote Sensing
Issue number6
Publication statusPublished - 1 Jun 2018


  • CommonMode Component (CMC)
  • Global Positioning System(GPS);CrustalMovementObservationNetwork ofChina (CMONOC)
  • Loading
  • Principal Component Analysis (PCA)
  • Time series

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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