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Licensed Unlicensed Requires Authentication Published by De Gruyter March 22, 2013

Effect of stochastic model fitting on the significance of CORS coordinate time series parameters

Stefan Leinen, Matthias Becker and Gwendolyn Läufer

Abstract

Based on the reprocessing of a regional continuously operating reference station (CORS) network the effect of stochastic modelling on the significance of coordinate time series parameters is investigated. The aim is to identify a suitable stochastic model for the time correlated time series. It is needed as stochastic model of the time series data and to enable a realistic statement about the significance of estimated parameters like velocity, offsets, annual signal. The approach of power-law noise stochastic modelling is applied and investigated. Estimated stochastic parameters and resulting models best fitting to the time series are shown and discussed. It is found that the stochastic parameters are strongly site specific. Utilizing such a best fitting stochastic model will yield realistic statements about accuracy and significance of parameters (velocity, offsets, annual signal). The application to the assessment of the velocity field of the network concludes the paper.

Published Online: 2013-03-22
Published in Print: 2013-03

© 2013 by Walter de Gruyter GmbH & Co.