Articles | Volume 28, issue 8
https://doi.org/10.5194/hess-28-1873-2024
https://doi.org/10.5194/hess-28-1873-2024
Research article
 | 
26 Apr 2024
Research article |  | 26 Apr 2024

Variation and attribution of probable maximum precipitation of China using a high-resolution dataset in a changing climate

Jinghua Xiong, Shenglian Guo, Abhishek, Jiabo Yin, Chongyu Xu, Jun Wang, and Jing Guo

Data sets

HRLT: A high-resolution (1 day, 1 km) and long-term (1961–2019) gridded dataset for temperature and precipitation across China [dataset] R. Qin and F. Zhang https://doi.org/10.1594/PANGAEA.941329

Global Probable Maximum Precipitation (PMP) datasets K. Ekpetere et al. http://www.hydroshare.org/resource/9bed05f68ad444e8ad371d9db001007a

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Short summary
Temporal variability and spatial heterogeneity of climate systems challenge accurate estimation of probable maximum precipitation (PMP) in China. We use high-resolution precipitation data and climate models to explore the variability, trends, and shifts of PMP under climate change. Validated with multi-source estimations, our observations and simulations show significant spatiotemporal divergence of PMP over the country, which is projected to amplify in future due to land–atmosphere coupling.