Abstract
Water vapor is one of the main atmospheric parameters, which has important reference value for climate research, weather forecast, weather monitoring and so on. BDS and GALILEO not only can realize high precision orbit determination and user positioning, but also can be an effectively sensor for satellite meteorology. The rapid development and improvement of BDS and GALILEO, which provide an opportunity to estimate a more high-resolution, precise solution of zenith wet delay (ZWD) and precipitable water vapor (PWV). In this paper, the observation from MGEX stations over Asia regional are processed respectively by GPS-only and GPS/BDS/GALILEO combining precise point positioning (PPP), and ZWD and PWV are retrieved by PPP method. The performance of the estimated ZWD and PWV was tested and verified by GGOS (Global Geodetic Observing System) and radiosonde data. The result shows that the ZWD solutions estimated from PPP agree with GGOS solution very well. Compared with the MAE and RMS of GPS, the results of GPS/BDS/GALILEO decrease by 0.6, 0.5 cm, respectively. The correlation coefficient increases 0.027–0.031. The correlation coefficient between PPP and radiosonde is above 0.9, which shows that they have reached a high level of convergence. The MEAN, RMS value of GPS/BDS/GALILEO is about 1 mm less than GPS. The correlation coefficient increases 0.023–0.034, which further proves that BDS and GALILEO can improve the estimation accuracy of PWV. Then we are sure that BDS and GALILEO will bring great benefits of ZWD and PWV.
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References
Rocken C, Ware R, Hove TV et al (1993) Sensing atmospheric water vapor with the global positioning system. Geophys Res Lett 20(23):2631–2634
Zumberge JF, Heflin MB, Jefferson DC et al (1997) Precise point positioning for the efficient and robust analysis of GPS data from large networks. J Geophy Res Solid Earth 102(B3):5005–5017
Li X, Zhang X, Ren X et al (2015) Precise positioning with current multi-constellation global navigation satellite systems: GPS, GLONASS. Galileo and BeiDou, Scientific Reports 5
Montenbruck O, Steigenberger P, Khachikyan R et al (2014) IGS-MGEX: preparing the ground for multi-constellation GNSS science. Espace 9(1):42–49
Li M, Li W, Shi C et al (2015) Assessment of precipitable water vapor derived from ground-based BeiDou observations with precise point positioning approach. Adv Space Res 55(1):150–162
Li X, Dick G, Lu C et al (2015) Multi-GNSS meteorology: real-time retrieving of atmospheric water vapor from BeiDou, Galileo, GLONASS, and GPS Observations. IEEE Trans Geosci Remote Sens 53(12):6385–6393
Liu Z, Li Y, Guo J et al (2016) Influence of higher-order ionospheric delay correction on GPS precise orbit determination and precise positioning. Geodesy Geodyn 7(5):369–376
Askne J, Nordius H (1987) Estimation of tropospheric delay for microwaves from surface weather data. Radio Sci 22(3):379–386
Yao YB, Zhang B, Yue SQ et al (2013) Global empirical model for mapping zenith wet delays onto precipitable water. J Geodesy 87(5):439–448
Acknowledgements
We would like to acknowledge IGS for MGEX data supporting and precise products. We thank IGRA for providing the radiosonde data and GGOS for providing grids of Tm. We also thank the online PPP software service systems GAPS. This research was supported by National Natural Science Foundation of China (41374009) and the Public Science and Technology Research Funds Projects of Surveying and mapping (201512034).
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Liu, Z., Li, Y., Li, F., Guo, J. (2017). Estimation and Evaluation of the Precipitable Water Vapor from GNSS PPP in Asia Region. In: Sun, J., Liu, J., Yang, Y., Fan, S., Yu, W. (eds) China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume I. CSNC 2017. Lecture Notes in Electrical Engineering, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-4588-2_8
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DOI: https://doi.org/10.1007/978-981-10-4588-2_8
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