Preprints
https://doi.org/10.5194/essd-2025-283
https://doi.org/10.5194/essd-2025-283
23 Jun 2025
 | 23 Jun 2025
Status: this preprint is currently under review for the journal ESSD.

A comprehensive 22-year global GNSS climate data record from 5085 stations

Xiaoming Wang, Haobo Li, Suelynn Choy, Qiuying Huang, Wenhui Cai, Anthony Rea, Hongxin Zhang, Luis Elneser, and Yuriy Kuleshov

Abstract. This work presents a comprehensive global GNSS climate data record derived from 5085 stations, spanning a 22-year time period 2000–2021. Generated through the GPAC-Repro campaign, the dataset utilises state-of-the-art processing methodologies and precise products from the International GNSS Service (IGS) Repro-3 initiative. The dataset includes high-quality hourly estimates of Zenith Total Delay (ZTD) and Precipitable Water Vapour (PWV), offering improved accuracy and spatiotemporal coverage. A rigorous data screening and quality assessment framework was implemented, including formal error detection, offset identification, and extensive cross-validation with ERA5 reanalysis dataset, radiosonde profiles, and Very Long Baseline Interferometry (VLBI) measurements. Collectively, these efforts ensured the consistency, accuracy, and homogeneity of the dataset. In addition, diurnal, monthly, and annual variations in ZTD and PWV have been analysed to evaluate and demonstrate its feasibility for monitoring climate variability, atmospheric circulation, and weather extremes. The insights provided by the dataset address critical data gaps in global climate observing systems and provide a robust foundation for advancing climate research and applications. Representing a significant milestone in GNSS climatology, this dataset serves as a vital resource for the scientific community, supporting improved understanding of atmospheric processes and more effective responses to climate-related challenges.

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Xiaoming Wang, Haobo Li, Suelynn Choy, Qiuying Huang, Wenhui Cai, Anthony Rea, Hongxin Zhang, Luis Elneser, and Yuriy Kuleshov

Status: open (until 30 Jul 2025)

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Xiaoming Wang, Haobo Li, Suelynn Choy, Qiuying Huang, Wenhui Cai, Anthony Rea, Hongxin Zhang, Luis Elneser, and Yuriy Kuleshov

Data sets

A comprehensive 22-year global GNSS climate data record from 5085 stations Xiaoming Wang et al. https://www.pangaea.de/tok/3945654965e0ab80bb82b695dda9426b3e7b597c

Xiaoming Wang, Haobo Li, Suelynn Choy, Qiuying Huang, Wenhui Cai, Anthony Rea, Hongxin Zhang, Luis Elneser, and Yuriy Kuleshov
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Short summary
This work presents the most comprehensive global GNSS climate dataset, covering a 22-year period and over 5085 stations. The data enables the monitoring of atmospheric humidity and circulation, which is crucial for understanding the mechanisms of climate change and climate-related extreme events. Through rigorous quality control, assessment and comparison with trusted sources, the dataset supports better weather forecasting, long-term climate monitoring, and global climate risk assessment.
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