From GNSS Zenith Tropospheric Delay to Precipitable Water Vapor: Accuracy Assessment Using In-Situ and Reanalysis Meteorological Data Over China

作者：Haoyu Wang, Fei Yang, Junxi Zheng, Zhuangzhuang Wang, Weicong Chen, Jia Xie · 发表于：IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 年份：2025 · DOI：10.1109/jstars.2025.3569930 · 被引用次数：7 · 研究领域：GNSS positioning and interference、Geophysics and Gravity Measurements、Advanced Frequency and Time Standards

With the continuous development of Global Navigation Satellite System (GNSS) and the abundance of ground-based observation sites, the research and practice of GNSS water vapor retrieval are becoming increasingly prosperous. However, how to convert the zenith tropospheric delay (ZTD) obtained from GNSS data processing into the precipitable water vapor (PWV) for stations without meteorological sensors is a key issue. In this study, five schemes using different meteorological data, including NOAA data, ERA5 pressure-level data (ERA5Pre), ERA5 single-level data (ERA5Sin), CRA40 pressure-level data (CRA40Pre), and CRA40 single-level data (CRA40Sin), were proposed to complete the above conversion. The numerical results give a comprehensive comparison between the performance of GNSS PWV conversion using co-located meteorological stations and reanalysis data. Moreover, the accuracy of PWV conversion using different types of reanalysis data has also been evaluated, especially the performance of CRA40 data, which has been assessed for the first time to our knowledge. In addition, the analysis of the pressure level and the single level of the two reanalysis data used for PWV conversion is also conducted. Specifically, the average RMSE were 1.745, 1.584, 1.535, 1.403 and 1.823 mm for the five schemes listed above, respectively. Their different performances in different geographical locations, seasons, months and epochs have also been explored in detail.