Articles | Volume 26, issue 7
https://doi.org/10.5194/hess-26-1907-2022
https://doi.org/10.5194/hess-26-1907-2022
Research article
 | 
14 Apr 2022
Research article |  | 14 Apr 2022

Exploring the possible role of satellite-based rainfall data in estimating inter- and intra-annual global rainfall erosivity

Nejc Bezak, Pasquale Borrelli, and Panos Panagos

Data sets

CMORPH dataset NOAA https://www.ncei.noaa.gov/data/cmorph-high-resolution-global-precipitation-estimates/access/

ERA5 hourly data on pressure levels from 1979 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.bd0915c6

European Soil Data Centre: Response to European policy support and public data requirements P. Panagos, M. Van Liedekerke, A. Jones, and L. Montanarella https://esdac.jrc.ec.europa.eu/resource-type/datasets

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Short summary
Rainfall erosivity is one of the main factors in soil erosion. A satellite-based global map of rainfall erosivity was constructed using data with a 30 min time interval. It was shown that the satellite-based precipitation products are an interesting option for estimating rainfall erosivity, especially in regions with limited ground data. However, ground-based high-frequency precipitation measurements are (still) essential for accurate estimates of rainfall erosivity.