Author(s)

Hongmin Zhang, And Zhangyu Sun

Corresponding Author

Hongmin Zhang

ABSTRACT

Weighted mean temperature (Tm) is a critical parameter in Global Navigation Satellite System (GNSS) technology to retrieve precipitable water vapor (PWV). In this study, a new global grid Tm model based on surface temperature (Ts) called GTSC-Tm was built. The precision of the newly built model was validated using the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA-Interim data and the radiosonde data. Another three existing Tm models, including the Bevis linear regression formula, the GTm model and the GPT2w model, were employed for comparisons. Results show that when tested with the ERA-Interim data, the average root mean square (RMS) of the GTSC-Tm is 2.06 K, showing precision improvements of approximately 46%, 24% and 36% compared with the Bevis, GTm and GPT2w model. When tested with the radiosonde data, the GTSC-Tm has an average RMS of 3.53 K with the accuracy improvements of approximately 13%, 10% and 8% compared with the Bevis, GTm and GPT2w model.

KEYWORDS

Gnss, Pwv, Tm, Global Grid Model