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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Cited articles

Alewell, C., Egli, M., and Meusburger, K.: An attempt to estimate tolerable soil erosion rates by matching soil formation with denudation in Alpine grasslands, J. Soil Sediment., 15, 1383–1399, https://doi.org/10.1007/s11368-014-0920-6, 2015. 
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Atlas, D., Srivastava, R., and Sekhon, R. S.: Doppler radar characteristics of precipitation at vertical incidence, Rev. Geophys., 11, 1–35, https://doi.org/10.1029/rg011i001p00001, 1973. 
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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.
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