Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 11
Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5407-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-5407-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 11
Research article
 | 
17 Nov 2020
Research article |  | 17 Nov 2020

Estimation of rainfall erosivity based on WRF-derived raindrop size distributions

Qiang Dai, Jingxuan Zhu, Shuliang Zhang, Shaonan Zhu, Dawei Han, and Guonian Lv

Viewed

Total article views: 3,846 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,725 1,001 120 3,846 135 171
  • HTML: 2,725
  • PDF: 1,001
  • XML: 120
  • Total: 3,846
  • BibTeX: 135
  • EndNote: 171
Views and downloads (calculated since 15 Jun 2020)
Cumulative views and downloads (calculated since 15 Jun 2020)

Viewed (geographical distribution)

Total article views: 3,846 (including HTML, PDF, and XML) Thereof 3,552 with geography defined and 294 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Mar 2026
Download
Short summary
Rainfall is a driving force that accounts for a large proportion of soil loss around the world. Most previous studies used a fixed rainfall–energy relationship to estimate rainfall energy, ignoring the spatial and temporal changes of raindrop microphysical processes. This study proposes a novel method for large-scale and long-term rainfall energy and rainfall erosivity investigations based on rainfall microphysical parameterization schemes in the Weather Research and Forecasting (WRF) model.
Read more
Share