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  3. rainfall erosivity

Towards the Development of Bias-Corrected Rainfall Erosivity Time Series for Europe

Rainfall erosivity maps for (near) real-time soil erosion predictions require the integration of (combinations of) reanalysis products and satellite retrievals of rainfall while overcoming biases related to their simplified spatial and temporal scales. Across Europe, this study evaluates the European Meteorological Observations (EMO) dataset and different implementations of quantile delta mapping (QDM) bias correction to improve rainfall erosivity prediction between 1990 and 2014.

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An in-depth statistical analysis of the rainstorms erosivity in Europe

An in-depth statistical analysis of the rainstorms erosivity in Europe

Heavy rainstorms play a central role in the water-driving soil erosion processes. An in-depth knowledge about temporal and spatial erosivity of rainfall events is required to gain a better understanding of soil erosion processes and optimize soil protection measures efficiency. In this study, the spatiotemporal distribution of more than 300,000 erosive events measured at 1181 locations, part of the Rainfall Erosivity Database at European Scale (REDES) database, is studied to shed some new light on the rainfall erosivity in Europe.

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