Optimum Parameterization In Estimating Sub-diurnal Earth Rotation Parameters With Very Long Baseline Interferometry

Details Optimum Parameterization In Estimating Sub-diurnal Earth Rotation Parameters With Very Long Baseline Interferometry Optimum Parameterization In Estimating Sub-diurnal Earth Rotation Parameters With Very Long Baseline Interferometry

Aug 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006iaujd..16e..72m&link_type=abstract

Nomenclature, Precession and New Models in Fundamental Astronomy, 26th meeting of the IAU, Joint Discussion 16, 22-23 August 200

Astronomy and Astrophysics

Astronomy

Scientific paper

Project SPEED (Short Periodic and Episodic Earth Rotation Determination) aims at the investigation of quasi-periodic, a-periodic, and episodic variations of the Earth Rotation Parameters (ERP). Geophysical data of unprecedented resolution of atmospheric (AAM) and oceanic angular momentum (OAM) serve as reference. One first step consists in studying and minimizing the correlation between the ERP and unavoidable auxiliary parameters. The current procedure in most Very Long Baseline Interferometry (VLBI) software packages when estimating ERP with sub-diurnal resolution is based on piece-wise linear functions. Considering that a subsequent combination of results of different observing techniques, like VLBI and GPS, will be mandatory, the concept of this parameterization needs to be revisited. Adverse effects of too loose or too tight constraints on the ERP and their rates for time intervals when VLBI observations are rather sparse have been investigated. Generally, VLBI solutions require a considerable number of auxiliary parameters for optimally modeling the station clock and atmospheric refraction. Some VLBI analysis software packages use again a piece-wise linear representation of these parameters with a temporal resolution reaching the 20 minutes. Obviously, these auxiliary parameters use identical information contained in the observables, in the respective time intervals, as do the primary sub-diurnal ERP. One consequence are correlations of so far uninvestigated magnitude. This study investigates and presents several methods for achieving optimum parameterizations, which keep the ERP as little as possible affected by the choice of the auxiliary parameters.

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