Journal
GEOPHYSICAL RESEARCH LETTERS
Volume 40, Issue 6, Pages 1069-1073Publisher
AMER GEOPHYSICAL UNION
DOI: 10.1002/grl.50288
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Funding
- Austrian Science Fund (FWF) [P20902-N10, P23143-N21]
- National Science Foundation (NSF)
- Austrian Science Fund (FWF) [P20902, P23143] Funding Source: Austrian Science Fund (FWF)
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Up to now, state-of-the-art empirical slant delay modeling for processing observations from radio space geodetic techniques has been provided by a combination of two empirical models. These are GPT (Global Pressure and Temperature) and GMF (Global Mapping Function), both operating on the basis of long-term averages of surface values from numerical weather models. Weaknesses in GPT/GMF, specifically their limited spatial and temporal variability, are largely eradicated by a new, combined model GPT2, which provides pressure, temperature, lapse rate, water vapor pressure, and mapping function coefficients at any site, resting upon a global 5 degrees grid of mean values, annual, and semi-annual variations in all parameters. Built on ERA-Interim data, GPT2 brings forth improved empirical slant delays for geophysical studies. Compared to GPT/GMF, GPT2 yields a 40% reduction of annual and semi-annual amplitude differences in station heights with respect to a solution based on instantaneous local pressure values and the Vienna mapping functions 1, as shown with a series of global VLBI (Very Long Baseline Interferometry) solutions.
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