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

被引:1251
作者
Boehm, J
Niell, A
Tregoning, P
Schuh, H
机构
[1] Inst Geodesy & Geophys, A-1040 Vienna, Austria
[2] MIT, Haystack Observ, Westford, MA 01886 USA
[3] Australian Natl Univ, Res Sch Earth Sci, Canberra, ACT 0200, Australia
关键词
D O I
10.1029/2005GL025546
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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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页数:4
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