Vertical profiling of atmospheric refractivity from ground-based GPS

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13 - 10 LOWRY ET AL.: REFRACTIVITY PROFILING FROM GROUND-BASED GPS Figure 7. Parameter space plots of results in Figure 6. Black stars are the best fit model of DS GPS ; white dots are the best fit model of radiosonde refractivity; and color contours are the RMS residual of the model of DS GPS , with dashed black lines denoting the 10 cm RMS contour. See color version of this figure at the back of this issue.
LOWRY ET AL.: REFRACTIVITY PROFILING FROM GROUND-BASED GPS 13 - 11 Table 1. Individual Error Terms in GPS Point Positioning a Error Contribution Group Zenith 1s, cm 1° Elevation 1s, cm Source Dry tropospheric delay parameters 1 0.0 3.4 propagated from uncertainty of Met3 measurements Wet tropospheric delay 1 1.2 38.3 formal errors of parameter estimation parameters Inadequacy of tropospheric 1 0.0 200 estimated from postfit residuals mapping functions Phase ambiguity 2 4.0 4.0 formal errors of parameter estimation Receiver clock 2 0.5 0.5 formal errors of parameter estimation Site coordinates 2 1.6 0.5 repeatability of network solutions for site coordinates Orbital position 2 4.4 4.4 Zumberge et al. [1997] errors for solutions from a 50 station network Satellite clock 2 3.7 3.7 Zumberge et al. [1997] errors for solutions from a 50 station network Multipath 3 2.5 2.5 RMS of 3.5 cm amplitude modeled ocean multipath [Sokolovskiy et al., 2001] Instrument noise 3 0.3 0.3 instrument noise for phase measurements in linear combination a Group 1 corresponds to parameters that are explicitly summed in the estimate of DS GPS , group 2 contains parameters that are implicit, and group 3 includes nonparametric errors. contamination of Vaisala humidity sensors [Miller et al., 1999]. The correction changed the DS Raob estimates by
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Vertical profiling of atmospheric refractivity from ground-based GPS

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