Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5407-2020
https://doi.org/10.5194/hess-24-5407-2020
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: 2,364 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,609 700 55 2,364 48 58
  • HTML: 1,609
  • PDF: 700
  • XML: 55
  • Total: 2,364
  • BibTeX: 48
  • EndNote: 58
Views and downloads (calculated since 15 Jun 2020)
Cumulative views and downloads (calculated since 15 Jun 2020)

Viewed (geographical distribution)

Total article views: 2,364 (including HTML, PDF, and XML) Thereof 2,097 with geography defined and 267 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
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.