Articles | Volume 18, issue 4
https://doi.org/10.5194/essd-18-2689-2026
https://doi.org/10.5194/essd-18-2689-2026
Data description article
 | 
17 Apr 2026
Data description article |  | 17 Apr 2026

A high-resolution tropopause folding dataset over China from 2014–2023

Yujia Yang, Le Cao, Liqiang Xu, Mengke Wang, Qingjian Yang, Yuqing Zhang, Tianqi Zhang, Xiuli Lei, Jiangpeng Miao, and Tianliang Zhao

Data sets

A High-Resolution Tropopause Folding Dataset over China from 2014-2023 Le Cao et al. https://doi.org/10.5281/zenodo.17446871

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Short summary
This study provides a high-resolution (0.25°, hourly) tropopause folding dataset for China (2014–2023) using ERA5 (ECMWF Reanalysis version 5) reanalysis data and a three-dimensional labeling method. It fills a critical data gap, enabling detailed spatiotemporal analysis of tropopause folding events. This validated resource provides a solid foundation for investigating stratosphere-troposphere transport and its impacts on near-surface air quality and extreme weather.
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