Evaluation of the possibility of using the predicted tropospheric delays in real time GNSS positioning

• Autorzy: Kalita J. Z. , Rzepecka Z. , Krzan G.

Identyfikatory

DOI

10.2478/arsa-2014-0014

• Języki publikacji: EN

Abstrakty

EN

Among many sources of errors that influence Global Navigation Satellite System (GNSS) observations, tropospheric delay is one of the most significant. It causes nonrefractive systematic bias in the observations on the level of several meters, depending on the atmospheric conditions. Tropospheric delay modelling plays an important role in precise positioning. The current models use numerical weather data for precise estimation of the parameters that are provided as a part of the Global Geodetic Observation System (GGOS). The purpose of this paper is to analyze the tropospheric data provided by the GGOS Atmosphere Service conducted by the Vienna University of Technology. There are predicted and final delay data available at the Service. In real time tasks, only the predicted values can be used. Thus it is very useful to study accuracy of the forecast delays. Comparison of data sets based on predicted and real weather models allows for conclusions concerning possibility of using the former for real time positioning applications. The predicted values of the dry tropospheric delay component, both zenith and mapped, can be safely used in real time PPP applications, but on the other hand, while using the wet predicted values, one should be very careful.

Słowa kluczowe

EN

tropospheric delay; Vienna Mapping Function; troposphere prediction

• Wydawca: Centrum Badań Kosmicznych PAN ; De Gruyter
• Czasopismo: Artificial Satellites : Journal of Planetary Geodesy
• Rocznik: 2014
• Tom: Vol. 49, No. 4
• Strony: 179--189
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Kalita J. Z.

• Department of Civil Engineering, Environmental Engineering and Geodesy, Koszalin University of Technology

autor

Rzepecka Z.

• Institute of Geodesy, University of Warmia and Mazury in Olsztyn

autor

Krzan G.

• Institute of Geodesy, University of Warmia and Mazury in Olsztyn

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).