A model for converging tropospheric delay corrections

Abstract

In response to the current problem that tropo-spheric delay correction is constrained by the measured meteorological parameters, resulting in low efficiency and limited application, this paper proposes a GE-Sa fusion model combining GPT2w and EGNOS models. The algorithm provides high-precision meteorological data through GPT2w and EGNOS models, and uses the Saastamoinen model to achieve the zenith tropospheric delay (ZTD) correction, the ZTD series of 2017 from 20 stations acquired by the Global Geodetic Observing System (GGOS) Atmosphere product data were used as the standard approximation to calculate the bias and RMS values of the model respectively, and the experimental results showed that the accuracy of the GE-Sa model was higher than that of the EGNOS model, GPT2w+Saastamoinen model, and 68.12% and 16.33%, respectively. The model improves the accuracy of calculating ZTD and expands the scope of application while getting rid of the limitation of measured meteorological parameters.