Abstract
Tropospheric water vapor delay in microwave ranging may be estimated through surface models. A model which needs no parameter adjustment for location or time, was applied to data of nearly 110,000 radiosonde launches from 1981 to 1983 in 70 worldwide stations of different geographical and climatical conditions. The annual RMS of residual estimation error varied from 4 mm (polar) to 6.7 cm (tropical). Estimation of tropospheric range error may be improved through stratification of synoptic data. Further improvement may be possible if a knowledge-based system containing a relational data-base, rules, and facts is constructed from historical data and the available expertise, and approaches used in expert systems are applied. The usefulness of this concept is illustrated for wet range error on a limited data set. It may be extended to water vapor radiometry and dry range error.
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