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Application of time-variable process noise in terrestrial reference frames determined from VLBI data

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dc.contributor.author Soja, Benedikt
dc.contributor.author Gross, Richard S.
dc.contributor.author Abbondanza, Claudio
dc.contributor.author Chin, Toshio M.
dc.contributor.author Heflin, Michael B.
dc.contributor.author Parker, Jay W.
dc.contributor.author Wu, Xiaoping
dc.contributor.author Balidakis, Kyriakos
dc.contributor.author Nilsson, Tobias
dc.contributor.author Glaser, Susanne
dc.contributor.author Karbon, Maria
dc.contributor.author Heinkelmann, Robert
dc.contributor.author Schuh, Harald
dc.date.accessioned 2020-04-22T22:53:06Z
dc.date.available 2020-04-22T22:53:06Z
dc.date.issued 2017-07-30
dc.identifier.citation IAG-IASPEI 39th Joint Scientific Assembly, Kobe, Japan, July 30 - August 4, 2017 en_US
dc.identifier.clearanceno 18-0992
dc.identifier.uri http://hdl.handle.net/2014/48054
dc.description.abstract In recent years, Kalman filtering has emerged as a suitable technique to determine terrestrial reference frames (TRFs), a prime example being JTRF2014. The time series approach allows variations of station coordinates that are neither reduced by observational corrections nor considered in the functional model to be taken into account. These variations are primarily due to non-tidal geophysical loading effects that are not reduced according to the current IERS Conventions (2010). It is standard practice that the process noise models applied in Kalman filter TRF solutions are derived from time series of loading displacements and account for station dependent differences. So far, it has been assumed that the parameters of these process noise models are constant over time. However, due to the presence of seasonal and irregular variations, this assumption does not truly reflect reality. In this study, we derive a station coordinate process noise model allowing for such temporal variations. This process noise model and one that is a parameterized version of the former are applied in the computation of TRF solutions based on very long baseline interferometry data. In comparison with a solution based on a constant process noise model, we find that the station coordinates are affected at the millimeter level. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2017 en_US
dc.subject terrestrial reference frames en_US
dc.subject VLBI en_US
dc.subject Kalman filter en_US
dc.subject non-tidal loading en_US
dc.subject process noise en_US
dc.title Application of time-variable process noise in terrestrial reference frames determined from VLBI data en_US
dc.type Preprint en_US


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