VMF3/GPT3: refined discrete and empirical troposphere mapping functions

Incorrect modeling of troposphere delays is one of the major error sources for space geodetic techniques such as Global Navigation Satellite Systems (GNSS) or Very Long Baseline Interferometry (VLBI). Over the years, many approaches have been devised which aim at mapping the delay of radio waves from zenith direction down to the observed elevation angle, so-called mapping functions. This paper contains a new approach intended to refine the currently most important discrete mapping function, the Vienna Mapping Functions 1 (VMF1), which is successively referred to as Vienna Mapping Functions 3 (VMF3). It is designed in such a way as to eliminate shortcomings in the empirical coefficients b and c and in the tuning for the specific elevation angle of $$3^{\circ }$$3∘. Ray-traced delays of the ray-tracer RADIATE serve as the basis for the calculation of new mapping function coefficients. Comparisons of modeled slant delays demonstrate the ability of VMF3 to approximate the underlying ray-traced delays more accurately than VMF1 does, in particular at low elevation angles. In other words, when requiring highest precision, VMF3 is to be preferable to VMF1. Aside from revising the discrete form of mapping functions, we also present a new empirical model named Global Pressure and Temperature 3 (GPT3) on a $$5^{\circ }\times 5^{\circ }$$5∘×5∘ as well as a $$1^{\circ }\times 1^{\circ }$$1∘×1∘ global grid, which is generally based on the same data. Its main components are hydrostatic and wet empirical mapping function coefficients derived from special averaging techniques of the respective (discrete) VMF3 data. In addition, GPT3 also contains a set of meteorological quantities which are adopted as they stand from their predecessor, Global Pressure and Temperature 2 wet. Thus, GPT3 represents a very comprehensive troposphere model which can be used for a series of geodetic as well as meteorological and climatological purposes and is fully consistent with VMF3.

[1]  H. Schuh,et al.  Forecast Vienna Mapping Functions 1 for real-time analysis of space geodetic observations , 2009 .

[2]  I. Shapiro,et al.  Geodesy by radio interferometry: Effects of atmospheric modeling errors on estimates of baseline length , 1985 .

[3]  Galina Dick,et al.  The rapid and precise computation of GPS slant total delays and mapping factors utilizing a numerical weather model , 2014 .

[4]  H. Schuh,et al.  Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium‐Range Weather Forecasts operational analysis data , 2006 .

[5]  Thomas Hobiger,et al.  Fast and accurate ray-tracing algorithms for real-time space geodetic applications using numerical weather models , 2008 .

[6]  J. Saastamoinen Atmospheric Correction for the Troposphere and Stratosphere in Radio Ranging Satellites , 2013 .

[7]  Peter Steigenberger,et al.  Multi-technique comparison of troposphere zenith delays and gradients during CONT08 , 2011 .

[8]  H. Schuh,et al.  Short Note: A global model of pressure and temperature for geodetic applications , 2007 .

[9]  Harald Schuh,et al.  Vienna mapping functions in VLBI analyses , 2004 .

[10]  J. Böhm,et al.  Application of ray-traced tropospheric slant delays to geodetic VLBI analysis , 2017, Journal of Geodesy.

[11]  Galina Dick,et al.  Systematic errors of mapping functions which are based on the VMF1 concept , 2014, GPS Solutions.

[12]  G. Veis The Use of Artificial Satellites for Geodesy , 1963 .

[13]  H. Schuh,et al.  Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data , 2006 .

[14]  R. Langley,et al.  UNB Neutral Atmosphere Models : Development and Performance , 2006 .

[15]  H. Schuh,et al.  Path Delays in the Neutral Atmosphere , 2013 .

[16]  Jan Askne,et al.  Estimation of tropospheric delay for microwaves from surface weather data , 1987 .

[17]  A. Niell Global mapping functions for the atmosphere delay at radio wavelengths , 1996 .

[18]  J. W. Marini,et al.  Correction of Satellite Tracking Data for an Arbitrary Tropospheric Profile , 1972 .

[19]  T. Nilsson,et al.  GPT2: Empirical slant delay model for radio space geodetic techniques , 2013, Geophysical research letters.

[20]  Harald Schuh,et al.  The New Vienna VLBI Software VieVS , 2012 .

[21]  Pascal Gegout,et al.  Adaptive mapping functions to the azimuthal anisotropy of the neutral atmosphere , 2011 .

[22]  A. E. Niell,et al.  Improved atmospheric mapping functions for VLBI and GPS , 2000 .

[23]  Robert Weber,et al.  Development of an improved empirical model for slant delays in the troposphere (GPT2w) , 2015, GPS Solutions.