Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data

Details Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data

Apr 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006georl..3307304b&link_type=abstract

Geophysical Research Letters, Volume 33, Issue 7, CiteID L07304

Physics

63

Geodesy And Gravity: Atmosphere Monitoring With Geodetic Techniques (6952), Geodesy And Gravity: Reference Systems, Geodesy And Gravity: Satellite Geodesy: Results (6929, 7215, 7230, 7240), Geodesy And Gravity: Space Geodetic Surveys, Radio Science: Radio Wave Propagation

Scientific paper

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 any elevation angle. Most analysts use the Niell Mapping Function (NMF) whose coefficients are determined from site coordinates and the day of year. Here we present the Global Mapping Function (GMF), based on data from the global ECMWF numerical weather model. The coefficients of the GMF were obtained from an expansion of the Vienna Mapping Function (VMF1) parameters into spherical harmonics on a global grid. Similar to NMF, the values of the coefficients require only the station coordinates and the day of year as input parameters. Compared to the 6-hourly values of the VMF1 a slight degradation in short-term precision occurs using the empirical GMF. However, the regional height biases and annual errors of NMF are significantly reduced with GMF.

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