Comparison of GMF/GPT with VMF1/ECMWF and implications for atmospheric loading |
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Authors: | Peter Steigenberger Johannes Boehm Volker Tesmer |
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Institution: | 1.Institut für Astronomische und Physikalische Geod?sie,Technische Universit?t München,Munich,Germany;2.Institute of Geodesy and Geophysics,Vienna University of Technology,Vienna,Austria;3.Deutsches Geod?tisches Forschungsinstitut,Munich,Germany;4.OHB-System AG,Bremen,Germany |
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Abstract: | This paper compares estimates of station coordinates from global GPS solutions obtained by applying different troposphere
models: the Global Mapping Function (GMF) and the Vienna Mapping Function 1 (VMF1) as well as a priori hydrostatic zenith
delays derived from the Global Pressure and Temperature (GPT) model and from the European Centre for Medium-Range Weather
Forecasts (ECMWF) numerical weather model data. The station height differences between terrestrial reference frames computed
with GMF/GPT and with VMF1/ECMWF are in general below 1 mm, and the horizontal differences are even smaller. The differences
of annual amplitudes in the station height can also reach up to 1 mm. Modeling hydrostatic zenith delays with mean (or slowly
varying empirical) pressure values instead of the true pressure values results in a partial compensation of atmospheric loading.
Therefore, station height time series based on the simple GPT model have a better repeatability than those based on more realistic
ECMWF troposphere a priori delays if atmospheric loading corrections are not included. On the other hand, a priori delays
from numerical weather models are essential to reveal the full atmospheric loading signal. |
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