Articles | Volume 26, issue 7
Hydrol. Earth Syst. Sci., 26, 1907–1924, 2022
https://doi.org/10.5194/hess-26-1907-2022
Hydrol. Earth Syst. Sci., 26, 1907–1924, 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 et al.

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Cited articles

Aghakouchak, A., Mehran, A., Norouzi, H., and Behrangi, A.: Systematic and random error components in satellite precipitation data sets, Geophys. Res. Lett., 39, L09406, https://doi.org/10.1029/2012GL051592, 2012. 
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Angulo-Martínez, M. and Beguería, S.: Trends in rainfall erosivity in NE Spain at annual, seasonal and daily scales, 1955–2006, Hydrol. Earth Syst. Sci., 16, 3551–3559, https://doi.org/10.5194/hess-16-3551-2012, 2012. 
Beck, H. E., Pan, M., Roy, T., Weedon, G. P., Pappenberger, F., van Dijk, A. I. J. M., Huffman, G. J., Adler, R. F., and Wood, E. F.: Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS, Hydrol. Earth Syst. Sci., 23, 207–224, https://doi.org/10.5194/hess-23-207-2019, 2019a. 
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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.