Možnosti modelování zpoždění signálu GNSS vlivem troposféry s využitím numerického modelu počasí

Abstract

The diploma thesis is devoted to a topic at a boundary of Geoinformatics, Geodesy and Meteorology. It has aconnection to research in the field of GNSS Meteorology at the VSB - TUO. The main aim of the thesis was to evaluate the possibility of using two numerical forecasting models MEDARD (Regional Forecasting model for the country) and GFS (Global Forecasting model) in modeling of the components of hydrostatic delay of GNSS signals. Hydrostatic component of the delay was modeled using in situ meteorological measurements, which served as reference data and using meteorological parameters (atmospheric pressure, air temperature) from weather numerical prediction models. The study was carried out for a two months long period (May and June) in 2013, where significant precipitation events associated with the floods were observed. The average root mean square error was 3,5 mm for in situ/MEDARD comparisons and 20,99 mm for in situ/GFS comparisons. The results indicate that outputs of model MEDARD can be reasonable used for a purpose of GNSS meteorology instead of in situ measurement however the situation is not that promising in case of evaluated GFS model.