Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-1265-2025
https://doi.org/10.5194/essd-17-1265-2025
Data description paper
 | 
27 Mar 2025
Data description paper |  | 27 Mar 2025

Gridded rainfall erosivity (2014–2022) in mainland China using 1 min precipitation data from densely distributed weather stations

Yueli Chen, Yun Xie, Xingwu Duan, and Minghu Ding

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Revised manuscript under review for ESSD
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Cited articles

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Angulo-Martínez, M. and Beguería, S.: Estimating rainfall erosivity from daily precipitation records: A comparison among methods using data from the Ebro Basin (NE Spain), J. Hydrol., 379, 111–121, https://doi.org/10.1016/j.jhydrol.2009.09.051, 2009. 
Ayat, H., Evans, J., Sherwood, S. C., and Soderholm, J.: Intensification of subhourly heavy rainfall, Science, 378, 655–659, https://doi.org/10.1126/science.abn8657, 2022. 
Borrelli, P., Robinson, D.A., Panagos, P., Lugato, E., Yang, J. E., Alewell, C., Wuepper, D., Montanarella, L., and Ballabio, C.: Land use and climate change impacts on global soil erosion by water (2015–2070), P. Natl. Acad. Sci. USA, 117, 21994–22001, https://doi.org/10.1073/pnas.2001403117, 2020. 
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Short summary
Rainfall erosivity maps are crucial for identifying key areas of water erosion. Due to the limited historical precipitation data, there are certain biases in rainfall erosivity estimates in China. This study develops a new rainfall erosivity map for mainland China using 1 min precipitation data from 60 129 weather stations, revealing that areas exceeding 4000 MJ mm ha−1 h−1yr−1 of annual rainfall erosivity are mainly concentrated in southern China and on the southern Tibetan Plateau.
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