Tropospheric zenith delays determined by VLBI as a contribution to climatological studies

Details Tropospheric zenith delays determined by VLBI as a contribution to climatological studies Tropospheric zenith delays determined by VLBI as a contribution to climatological studies

Apr 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003eaeja.....1067b&link_type=abstract

EGS - AGU - EUG Joint Assembly, Abstracts from the meeting held in Nice, France, 6 - 11 April 2003, abstract #1067

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Scientific paper

In geodetic VLBI (Very Long Baseline Interferometry) the observations of extragalactic radio sources are performed at two frequencies (2.3 and 8.4 GHz) by a global network of radio telescopes. The most important observable for geodesy is the time delay between the arrival times of a plane wavefront at two radio telescopes. From a sufficient number of these observables various parameters can be estimated with highest accuracy, e.g. the Earth orientation parameters or baseline lengths and differences of the station coordinates. The variable tropospheric refraction is a major error source for the estimation of these geodetic parameters by VLBI. The influence of the tropospheric refraction is taken into account by appropriate models which usually contain a hydrostatic and a wet part. By special mapping functions the tropospheric zenith delay is mapped to the elevation of the observation. The tropospheric zenith delays (total or wet) have also to be estimated within the VLBI least-squares fit. In the last years it has become evident that the tropospheric parameters determined by VLBI can also be used for meteorological and climatological studies. In particular the wet component of the tropospheric zenith delay is of high interest. VLBI observations have been carried out at some stations since the beginning of the eighties, what allows the determination of the above mentioned tropospheric parameters for more than 20 years. Time series of the wet component of tropospheric zenith delays are compared with other data series of integral numbers of the wet part of the troposphere, e.g. provided by the ECMWF (European Centre for Medium Range Weather Forecasts).

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