Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-665-2022
https://doi.org/10.5194/essd-14-665-2022
Data description paper
 | 
17 Feb 2022
Data description paper |  | 17 Feb 2022

Rainfall erosivity mapping over mainland China based on high-density hourly rainfall records

Tianyu Yue, Shuiqing Yin, Yun Xie, Bofu Yu, and Baoyuan Liu

Related authors

Normalized difference vegetation index maps of pure pixels over China for estimation of fractional vegetation cover
Tian Zhao, Wanjuan Song, Xihan Mu, Yun Xie, Yuanyuan Wang, Hangqi Ren, Donghui Xie, and Guangjian Yan
Earth Syst. Sci. Data, 18, 551–568, https://doi.org/10.5194/essd-18-551-2026,https://doi.org/10.5194/essd-18-551-2026, 2026
Short summary
Regionalization of IDF Curves for Mainland China: A Comparative Evaluation of Machine Learning versus Spatial Interpolation Techniques
Yuantian Jiang, Wenting Wang, Andrew T. Fullhart, Bofu Yu, and Bo Chen
EGUsphere, https://doi.org/10.5194/egusphere-2025-3228,https://doi.org/10.5194/egusphere-2025-3228, 2025
Short summary
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
Earth Syst. Sci. Data, 17, 1265–1274, https://doi.org/10.5194/essd-17-1265-2025,https://doi.org/10.5194/essd-17-1265-2025, 2025
Short summary
New derivation and interpretation of the complementary relationship for evapotranspiration
Sha Zhou and Bofu Yu
EGUsphere, https://doi.org/10.5194/egusphere-2025-1124,https://doi.org/10.5194/egusphere-2025-1124, 2025
Preprint archived
Short summary
Temporal and spatial variations in dust activity in Australia based on remote sensing and reanalysis datasets
Yahui Che, Bofu Yu, and Katherine Bracco
Atmos. Chem. Phys., 24, 4105–4128, https://doi.org/10.5194/acp-24-4105-2024,https://doi.org/10.5194/acp-24-4105-2024, 2024
Short summary

Cited articles

Alewell, C., Borelli, P., Meusburger, K., and Panagos, P.: Using the USLE: Chances, challenges and limitations of soil erosion modelling, International Soil and Water Conservation Research, 7, 203–225, https://doi.org/10.1016/j.iswcr.2019.05.004, 2019. 
Angulomartínez, 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. 
Arnoldus, H.: Methodology used to determine the maximum potential average annual soil loss due to sheet and rill erosion in Morocco, FAO Soils Bulletins (FAO), 34, 39–51, 1977. 
Auerswald, K., Fiener, P., Gomez, J. A., Govers, G., Quinton, J. N., and Strauss, P.: Comment on “Rainfall erosivity in Europe” by Panagos et al. (Sci. Total Environ., 511, 801–814, 2015), Sci. Total Environ., 532, 849–852, https://doi.org/10.1016/j.scitotenv.2015.05.019, 2015. 
Bagarello, V. and D'Asaro, F.: Estimating single storm erosion index, T. ASAE, 37, 785–791, https://doi.org/10.13031/2013.28141, 1994. 
Download
Short summary
This paper provides new rainfall erosivity maps over mainland China based on hourly data from 2381 stations (available at https://doi.org/10.12275/bnu.clicia.rainfallerosivity.CN.001). The improvement from the previous work was also assessed. The improvement in the R-factor map occurred mainly in the western region, because of an increase in the number of stations and an increased temporal resolution from daily to hourly data.
Share
Altmetrics
Final-revised paper
Preprint