Abstract

Global navigation satellite systems (GNSSs) have become an important tool to derive atmospheric products, such as the total zenith tropospheric delay (ZTD) and precipitable water vapor (PWV) for weather and climate studies. The ocean tide loading (OTL) effect is one of the primary errors that affects the accuracy of GNSS-derived ZTD/PWV, which means the study and choice of the OTL model is an important issue for high-accuracy ZTD estimation. In this study, GNSS data from 1 January 2019 to 31 January 2019 are processed using precise point positioning (PPP) at globally distributed stations. The performance of seven widely used global OTL models is assessed and their impact on the GNSS-derived ZTD is investigated by comparing them against the ZTD calculated from co-located radiosonde observations. The results indicate that the inclusion or exclusion of the OTL effect will lead to a difference in ZTD of up to 3–15 mm for island stations, and up to 1–2 mm for inland stations. The difference of the ZTD determined with different OTL models is quite small, with a root-mean-square (RMS) value below 1.5 mm at most stations. The comparison between the GNSS-derived ZTD and the radiosonde-derived ZTD indicates that the adoption of OTL models can improve the accuracy of GNSS-derived ZTD. The results also indicate that the adoption of a smaller cutoff elevation, e.g., 3° or 7°, can significantly reduce the difference between the ZTDs determined by GNSS and radiosonde, when compared against a 15° cutoff elevation. Compared to the radiosonde-derived ZTD, the RMS error of GNSS-derived ZTD is approximately 25–35 mm at a cutoff elevation of 15°, and 15–25 mm when the cutoff elevation is set to 3°.

Highlights

  • Atmospheric products derived from the global navigation satellite system (GNSS), such as zenith tropospheric delay (ZTD) and precipitable water vapor (PWV), have been widely used in weather and climate studies [1,2,3,4,5]

  • SPOTL software was used to compute the magnitudes of the site displacements due to ocean tide loading (OTL) effects on model grids, and bilinear interpolation was adopted to calculate the magnitude of the OTL effect at any specific site

  • ZTD estimation is mainly influenced by the OTL effects in the vertical direction; those effects have a magnitude and variation that are much larger than the corresponding values in the horizontal direction

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Summary

Introduction

Atmospheric products derived from the global navigation satellite system (GNSS), such as zenith tropospheric delay (ZTD) and precipitable water vapor (PWV), have been widely used in weather and climate studies [1,2,3,4,5]. The OTL effect will map into the ZTD and station height estimates [6,7]. As suggested by previous studies, neglecting the OTL effect could lead to an error of up to 50 mm in station height estimates. As suggested by the World Meteorology Organization (WMO) the threshold for using ZTD in the weather forecasting should be 15 mm [9]. To meet this requirement and to further improve the accuracy of the GNSS-derived ZTD, it is very important to carefully investigate the impact of different data processing strategies on the estimation of the ZTD, including the OTL effects

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