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Uncertainty in geocenter estimates in the context of ITRF2014


Riddell, A and King, MA and Watson, CS and Sun, Y and Riva, REM and Rietbroek, R, Uncertainty in geocenter estimates in the context of ITRF2014, Journal of Geophysical Research: Solid Earth, 122, (5) pp. 4020-4032. ISSN 2169-9313 (2017) [Refereed Article]



Copyright Statement

Copyright 2017 American Geophysical Union

DOI: doi:10.1002/2016JB013698


Uncertainty in the geocenter position and its subsequent motion affects positioning estimates on the surface of the Earth and downstream products such as site velocities, particularly the vertical component. The current version of the International Terrestrial Reference Frame, ITRF2014, derives its origin as the long-term averaged center of mass as sensed by Satellite Laser Ranging (SLR), and by definition, it adopts only linear motion of the origin with uncertainty determined using a white noise process. We compare weekly SLR translations relative to the ITRF2014 origin, with network translations estimated from station displacements from surface mass transport models. We find that the proportion of variance explained in SLR translations by the model-derived translations is on average less than 10%. Time-correlated noise and non-linear rates, particularly evident in the Y and Z components of the SLR translations with respect to the ITRF2014 origin, are not fully replicated by the model-derived translations. This suggests that translation-related uncertainties are underestimated when a white noise model is adopted, and that substantial systematic errors remain in the data defining the ITRF origin. When using a white noise model, we find uncertainties in the rate of SLR X, Y and Z translations of 0.03, 0.03 and 0.06 respectively, increasing to 0.13, 0.17 and 0.33 (mm/yr, one sigma) when a PLW noise model is adopted.

Item Details

Item Type:Refereed Article
Keywords:ITRF2014, geodesy, reference frame, geocentre, uncertainty, precision
Research Division:Earth Sciences
Research Group:Geophysics
Research Field:Geodesy
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:Riddell, A (Mrs Anna Riddell)
UTAS Author:King, MA (Professor Matt King)
UTAS Author:Watson, CS (Dr Christopher Watson)
ID Code:116095
Year Published:2017
Funding Support:Australian Research Council (FT110100207)
Web of Science® Times Cited:25
Deposited By:Geography and Spatial Science
Deposited On:2017-05-01
Last Modified:2018-07-04
Downloads:132 View Download Statistics

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