Articles | Volume 23, issue 4
https://doi.org/10.5194/hess-23-1819-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-1819-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Apr 2019
Research article |
| 03 Apr 2019
| 03 Apr 2019
Rain erosivity map for Germany derived from contiguous radar rain data
Technische Universität München, Lehrstuhl für Grünlandlehre, 85354 Freising, Germany
Franziska K. Fischer
Technische Universität München, Lehrstuhl für Grünlandlehre, 85354 Freising, Germany
Bayerische Landesanstalt für Landwirtschaft, 85354 Freising, Germany
Deutscher Wetterdienst, Außenstelle Weihenstephan, 85354 Freising, Germany
Tanja Winterrath
Deutscher Wetterdienst, Abteilung Hydrometeorologie, 63067 Offenbach am Main, Germany
Robert Brandhuber
Bayerische Landesanstalt für Landwirtschaft, 85354 Freising, Germany
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- Análise temporal da erosividade das chuvas (1921-2023) em Vitória de Santo Antão, Pernambuco, Brasil J. Costa et al. 10.55761/abclima.v36i21.19120
- Reassessment of the potential risk of soil erosion by water on agricultural land in Germany: Setting the stage for site-appropriate decision-making in soil and water resources management N. Plambeck 10.1016/j.ecolind.2020.106732
- Implications of Bioenergy Cropping for Soil: Remote Sensing Identification of Silage Maize Cultivation and Risk Assessment Concerning Soil Erosion and Compaction T. Ruf et al. 10.3390/land10020128
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- Radar-Based Precipitation Climatology in Germany—Developments, Uncertainties and Potentials J. Kreklow et al. 10.3390/atmos11020217
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- Towards the development of bias-corrected rainfall erosivity time series for Europe F. Matthews et al. 10.1016/j.jhydrol.2024.132460
- Investigating sediment sources using compound-specific stable isotopes and conventional fingerprinting methods in an agricultural loess catchment G. Abbas et al. 10.1016/j.catena.2024.108336
- Recent and Future Changes in Rainfall Erosivity and Implications for the Soil Erosion Risk in Brandenburg, NE Germany A. Gericke et al. 10.3390/w11050904
- Comparing Rainfall Erosivity Estimation Methods Using Weather Radar Data for the State of Hesse (Germany) J. Kreklow et al. 10.3390/w12051424
31 citations as recorded by crossref.
- Pristine levels of suspended sediment in large German river channels during the Anthropocene? T. Hoffmann et al. 10.5194/esurf-11-287-2023
- Spatiotemporal detailed crop cover and management factor maps as agri-environmental indicators for soil erosion in Germany B. Steinhoff-Knopp et al. 10.1016/j.iswcr.2025.06.002
- Filling the gap between plot and landscape scale – eight years of soil erosion monitoring in 14 adjacent watersheds under soil conservation at Scheyern, Southern Germany P. Fiener et al. 10.5194/adgeo-48-31-2019
- High-resolution spatial analysis of the variability in the subdaily rainfall time structure M. Kašpar et al. 10.1016/j.atmosres.2020.105202
- Rainfall Erosivity in Peru: A New Gridded Dataset Based on GPM-IMERG and Comprehensive Assessment (2000–2020) L. Gutierrez et al. 10.3390/rs15225432
- Tools for Planning Local Mitigation of Water‐Driven Soil Erosion Resulting from Impacts of Future Climate Change J. Köhn et al. 10.1002/clen.202000385
- Datasets and approaches for the estimation of rainfall erosivity over Italy: A comprehensive comparison study and a new method R. Padulano et al. 10.1016/j.ejrh.2021.100788
- Controlling factors of organic carbon stocks in agricultural topsoils and subsoils of Bavaria S. Mayer et al. 10.1016/j.still.2019.04.021
- Análise temporal da erosividade das chuvas (1921-2023) em Vitória de Santo Antão, Pernambuco, Brasil J. Costa et al. 10.55761/abclima.v36i21.19120
- Reassessment of the potential risk of soil erosion by water on agricultural land in Germany: Setting the stage for site-appropriate decision-making in soil and water resources management N. Plambeck 10.1016/j.ecolind.2020.106732
- Implications of Bioenergy Cropping for Soil: Remote Sensing Identification of Silage Maize Cultivation and Risk Assessment Concerning Soil Erosion and Compaction T. Ruf et al. 10.3390/land10020128
- Review of methods of spatio-temporal evaluation of rainfall erosivity and their correct application J. Brychta et al. 10.1016/j.catena.2022.106454
- Evaluating precipitation products for water resources hydrologic modeling over Germany S. Hammoudeh et al. 10.3389/feart.2025.1548557
- An update of the spatial and temporal variability of rainfall erosivity (R-factor) for the main agricultural production zones of Austria L. Johannsen et al. 10.1016/j.catena.2022.106305
- Frequency Trend Analysis of Heavy Rainfall Days for Germany D. Deumlich & A. Gericke 10.3390/w12071950
- Beetle bank-positioning on sloped farmland to promote water retention and biodiversity in farm management information systems for agri-environmental schemes M. Melzer et al. 10.1016/j.biocon.2025.110999
- Climate Change Impacts on Soil Erosion and Sediment Delivery to German Federal Waterways: A Case Study of the Elbe Basin M. Uber et al. 10.3390/atmos13111752
- Renewable Energy from Wildflowers—Perennial Wild Plant Mixtures as a Social‐Ecologically Sustainable Biomass Supply System M. von Cossel 10.1002/adsu.202000037
- Soil erosion on arable land: An unresolved global environmental threat J. Quinton & P. Fiener 10.1177/03091333231216595
- HESS Opinions: Floods and droughts – are land use, soil management, and landscape hydrology more significant drivers than increasing CO2? K. Auerswald et al. 10.5194/hess-29-2185-2025
- Past, present and future rainfall erosivity in central Europe based on convection-permitting climate simulations M. Uber et al. 10.5194/hess-28-87-2024
- From Field to Model: Determining EROSION 3D Model Parameters for the Emerging Biomass Plant Silphium perfoliatum L. to Predict Effects on Water Erosion Processes T. Koch et al. 10.3390/agronomy14092097
- Summable C factors for contemporary soil use K. Auerswald et al. 10.1016/j.still.2021.105155
- Challenges of rainfall erosivity prediction: A Novel GIS-Based Optimization algorithm to reduce uncertainty in large country modeling M. Kabolizadeh et al. 10.1007/s12145-023-01178-2
- Use of Monitoring Approaches to Verify the Predictive Accuracy of the Modeling of Particle-Bound Solid Inputs to Surface Waters K. Allion et al. 10.3390/w13243649
- Radar-Based Precipitation Climatology in Germany—Developments, Uncertainties and Potentials J. Kreklow et al. 10.3390/atmos11020217
- Change in erosion potential of crops due to climate change K. Auerswald & A. Menzel 10.1016/j.agrformet.2021.108338
- Towards the development of bias-corrected rainfall erosivity time series for Europe F. Matthews et al. 10.1016/j.jhydrol.2024.132460
- Investigating sediment sources using compound-specific stable isotopes and conventional fingerprinting methods in an agricultural loess catchment G. Abbas et al. 10.1016/j.catena.2024.108336
- Recent and Future Changes in Rainfall Erosivity and Implications for the Soil Erosion Risk in Brandenburg, NE Germany A. Gericke et al. 10.3390/w11050904
- Comparing Rainfall Erosivity Estimation Methods Using Weather Radar Data for the State of Hesse (Germany) J. Kreklow et al. 10.3390/w12051424
Discussed (preprint)
Latest update: 03 Jul 2025
Short summary
Radar rain data enable for the first time portraying the erosivity pattern with high spatial and temporal resolution. This allowed quantification of erosivity in Germany with unprecedented detail. Compared to previous estimates, erosivity has strongly increased and its seasonal distribution has changed, presumably due to climate change. As a consequence, erosion for some crops is 4 times higher than previously estimated.
Radar rain data enable for the first time portraying the erosivity pattern with high spatial and...
