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

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (28 Aug 2020) by Rohini Kumar
AR by Qiang Dai on behalf of the Authors (31 Aug 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (01 Sep 2020) by Rohini Kumar
RR by Anonymous Referee #1 (25 Sep 2020)
RR by Anonymous Referee #3 (26 Sep 2020)
RR by Anonymous Referee #2 (29 Sep 2020)
ED: Publish subject to minor revisions (review by editor) (30 Sep 2020) by Rohini Kumar
AR by Qiang Dai on behalf of the Authors (07 Oct 2020)
ED: Publish as is (09 Oct 2020) by Rohini Kumar
AR by Qiang Dai on behalf of the Authors (10 Oct 2020)
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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.