Abstract

Based on the ERA-5 meteorological data from 2015 to 2019, we establish the global tropospheric delay spherical harmonic (SH) coefficients set called the SH_set and develop the global tropospheric delay SH coefficients empirical model called EGtrop using the empirical orthogonal function (EOF) method and periodic functions. We apply tropospheric delay derived from IGS stations not involved in modeling as reference data for validating the dataset, and statistical results indicate that the global mean Bias of the SH_set is 0.08 cm, while the average global root mean square error (RMSE) is 2.61 cm, which meets the requirements of the tropospheric delay model applied in the wide-area augmentation system (WAAS), indicating the feasibility of the product strategy. The tropospheric delay calculated with global sounding station and tropospheric delay products of IGS stations in 2020 are employed to validate the new product model. It is verified that the EGtrop model has high accuracy with Bias and RMSE of −0.25 cm and 3.79 cm, respectively, with respect to the sounding station, and with Bias and RMSE of 0.42 cm and 3.65 cm, respectively, with respect to IGS products. The EGtrop model is applicable not only at the global scale but also at the regional scale and exhibits the advantage of local enhancement.

Highlights

  • Tropospheric delay is one of the major error sources in Global Navigation Satellite System (GNSS) positioning that must be suitably modeled and corrected

  • This study proposes a global tropospheric spherical harmonic (SH) coefficient set (SH_set) and establishes a global SH coefficients empirical model, namely EGtrop based on empirical orthogonal function (EOF) methods and periodic functions

  • This study adopts a spherical harmonic function to fit the tropospheric delay calculated with global ERA-5 meteorological data at each time, and an SH coefficients dataset is obtained in the calculation, which is convenient for EOF decomposition and formula fitting

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Summary

Introduction

Tropospheric delay is one of the major error sources in GNSS positioning that must be suitably modeled and corrected. In the process of GNSS navigation and positioning, it is difficult to directly estimate the slant tropospheric delay (STD) along the signal path. The zenith tropospheric delay (ZTD) can be divided into zenith hydrostatic delay (ZHD) and zenith wet delay (ZWD) [1,2,3]. Research has demonstrated that high-precision tropospheric delay correction can effectively improve the positioning accuracy and shorten the convergence time of precise single-point positioning (PPP) [4]. To improve the application accuracy and efficiency in the earth science field based on space geodesy techniques, it is necessary to establish a stable and reliable tropospheric delay model

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