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Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium‐Range Weather Forecasts operational analysis data
[1] In the analyses of geodetic very long baseline interferometry (VLBI) and GPS data the analytic form used for mapping of the atmosphere delay from zenith to the line of site is most often aExpand
Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data
[1] Troposphere mapping functions are used in the analyses of Global Positioning System and Very Long Baseline Interferometry observations to map a priori zenith hydrostatic and wet delays to anyExpand
Short Note: A global model of pressure and temperature for geodetic applications
The empirical model GPT (Global Pressure and Temperature), which is based on spherical harmonics up to degree and order nine, provides pressure and temperature at any site in the vicinity of theExpand
Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, BeiDou, and Galileo
In this contribution, we present a GPS+GLONASS+BeiDou+Galileo four-system model to fully exploit the observations of all these four navigation satellite systems for real-time precise orbitExpand
Vienna mapping functions in VLBI analyses
TLDR
Pressure level data from ECMWF (European Centre for Medium-Range Weather Forecasts) are applied to determine the coefficients of the VMF and the IMF and both mapping functions improve the repeatability of baseline lengths compared to the Niell Mapping Functions NMF. Expand
VLBI: A fascinating technique for geodesy and astrometry
Abstract Since the 1970s Very Long Baseline Interferometry (VLBI) has proven to be a primary space-geodetic technique by determining precise coordinates on the Earth, by monitoring the variable EarthExpand
Troposphere mapping functions for GPS and VLBI from ECMWF operational analysis data
In the analyses of geodetic VLBI and GPS data the analytic form used for mapping of the atmosphere delay from zenith to the line-of-site is most often a three parameter continued fraction inExpand
Prediction of Earth orientation parameters by artificial neural networks
TLDR
The Stuttgart neural network simulator was applied to construct and to validate different types of neural networks in order to find the optimal topology of the net, the most economical learning algorithm and the best procedure to feed the net with data patterns. Expand
Troposphere gradients from the ECMWF in VLBI analysis
Modeling path delays in the neutral atmosphere for the analysis of Very Long Baseline Interferometry (VLBI) observations has been improved significantly in recent years by the use ofExpand
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