G025-08
Toward ITRF2020: Enhancing the Modelling of Nonlinear Station Motions

Thursday, 17 December 2020: 05:58
Virtual
Zuheir Altamimi1,2, Paul Rebischung3, Xavier Collilieux4, Laurent Metivier5 and Kristel Chanard1, (1)IGN Institut National de l'Information Géographique et Forestière, Paris Cedex 13, France, (2)Institut de Physique du Globe de Paris, Paris, France, (3)Université de Paris, Institut de physique du globe de Paris, CNRS, IGN, F-75005 Paris, France, (4)Institut Natinonal de L'Information Géographique et Forestière, Marne La ValléE, France, (5)LASTIG LAREG, IGN, ENSG, Univ Paris Diderot, Sorbonne Paris Cité, F-75013 Paris, France
Abstract:
In preparation for the ITRF2020, a number of combination software developments and updates are currently undertaken in order to enhance and improve the modelling of nonlinear station motions. While the adjustment of post-seismic deformation parametric models for stations subject to major earthquakes will be rigorously determined on a station-by-station basis, significant periodic signals embedded in the station coordinates time series will be jointly determined during the ITRF2020 combination process. In addition to the classical annual and semi-annual frequencies, satellite draconitic periods will also be adjusted and their impact on the ITRF2020 results will be assessed. The ITRF2020 is expected to be provided in the form of an augmented reference frame so that in addition to station positions and velocities, parametric models for both PSD and seasonal signals (expressed in the CM frame of satellite laser ranging) will also be delivered to the users. Using ITRF2014 input data, this paper focuses on (1) the confrontation of different approaches for the estimation of the periodic signals and their impact on the frame parameters and results, and (2) the level of agreement of seasonal signals at colocation sites.