Affiliation:
1. Department of Geomatic Engineering, Erciyes University, Kayseri 38030, Turkey
2. Department of Geomatic Engineering, Yildiz Technical University, Istanbul 34220, Turkey
Abstract
Estimating the height component of Global Navigation Satellite System (GNSS) stations is widely known to be more challenging than estimating the horizontal position. In this study, we utilized height time series data from 37 continuous GNSS stations that were part of the Turkish RTK CORS Network called TUSAGA-Active (Turkish National Permanent GNSS Network Active). The data covered the period from 2014 to 2019, and the selection of stations focused on the Eastern Anatolia region of Turkey due to its topographic characteristics and the pronounced influence of seasonal changes, which facilitated the interpretation of the effects on the height component. The daily coordinates of the GNSS stations were derived using the GAMIT/GLOBK software solution. We identified statistically significant trends, periodic variations, and stochastic components associated with the stations by applying time series analysis to these daily coordinate values. As a result, the vertical velocities of the GNSS stations were determined, along with their corresponding standard deviations. Furthermore, examining the height components of the continuous GNSS stations revealed seasonal effects. We aimed to investigate the potential relationship between these height components and meteorological parameters. The study provides evidence of the interconnectedness between the height components of continuous GNSS stations and various meteorological parameters. Simple linear regression analysis and ARMA time series modeling were utilized to establish this relationship.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference52 articles.
1. Bock, O., and Doerflinger, E. (2000, January 10–15). Atmospheric processing methods for high accuracy positioning with the Global Positioning System. Proceedings of the COST-716/IGS Network Workshops, Oslo, Norway.
2. The atmospheric influence on the results from the Swedish GPS network;Johasson;Phys. Chem. Earth,1998
3. Precipitable water observed by ground-based GPS receivers and microwave radiometry;Liou;Earth Space Sci.,2000
4. Geodesy by radio interferometry: Effects of atmospheric modeling errors on estimates of baseline length;Davis;Radio Sci.,1985
5. Wet tropospheric effects on precise relative GPS height determination;Dodson;J. Geod.,1996