1987
DOI: 10.1029/rs022i002p00251
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The effect of the dynamic wet troposphere on radio interferometric measurements

Abstract: Calculations using a statistical model of water vapor fluctuations yield the effect of the dynamic wet troposphere on radio interferometric measurements. The statistical model arises from two primary assumptions: (1) the spatial structure of refractivity fluctuations can be closely approximated by elementary (Kolmogorov) turbulence theory, and (2) temporal fluctuations are caused by spatial patterns which are moved over a site by the wind. The consequences of these assumptions are outlined for the very long ba… Show more

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Cited by 234 publications
(200 citation statements)
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“…An example in the former category is the so-called ''monument motion'' (discussed below), while examples for the latter include positioning errors caused by multipath (also discussed below), antenna phase center variations [Elósegui et al, 1995;Park et al, 2004], unmodeled atmospheric effects [e.g., Davis et al, 1985;Treuhaft and Lanyi, 1987;Kedar et al, 2003], and satellite orbit errors [e.g., Baueršíma, 1983]. While some of these errors (e.g., atmospheric effects and satellite orbit errors) will have some degree of cancelation over shorter intersite distances, others are noncanceling, site-specific effects (e.g., monument motion and local multipath errors).…”
Section: Introductionmentioning
confidence: 99%
“…An example in the former category is the so-called ''monument motion'' (discussed below), while examples for the latter include positioning errors caused by multipath (also discussed below), antenna phase center variations [Elósegui et al, 1995;Park et al, 2004], unmodeled atmospheric effects [e.g., Davis et al, 1985;Treuhaft and Lanyi, 1987;Kedar et al, 2003], and satellite orbit errors [e.g., Baueršíma, 1983]. While some of these errors (e.g., atmospheric effects and satellite orbit errors) will have some degree of cancelation over shorter intersite distances, others are noncanceling, site-specific effects (e.g., monument motion and local multipath errors).…”
Section: Introductionmentioning
confidence: 99%
“…The wet component of the delay cannot be accurately predicted from surface meteorological measurements. A statistical model for the wet component of the delay was given by Treuhaft and Lanyi [1987] (TL hereafter) and based on two principal assumptions. First, the spatial structure of the fluctuations can be closely approximated by elementary (Kolmogorov) turbulence theory, and second, temporal fluctuations are caused by spatial patterns which are moved over a site by the wind.…”
Section: Introductionmentioning
confidence: 99%
“…These are smaller than the expected uncertainties due to random variations in the wet component of the tropospheric delay at each site (∼0.1 ns between nodes; Treuhaft & Lanyi 1987). These a priori, extra random variations are not contemplated in the computation of our astrometric uncertainties 1 , because such unmodelled variations constitute a large fraction of the final rms (see Fig.…”
Section: Global Phase Delay Astrometric Fitmentioning
confidence: 92%