Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-2117-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-2117-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantification of meteorological conditions for rockfall triggers in Germany
Katrin M. Nissen
CORRESPONDING AUTHOR
Institute for Meteorology, Freie Universität Berlin, Berlin, Germany
Stefan Rupp
Institute for Applied Physical Geography, University of Vechta, Vechta, Germany
Thomas M. Kreuzer
Institute for Geography and Geology, University of Würzburg, Würzburg, Germany
Björn Guse
Section Hydrology, GFZ German Research Centre for Geoscience, Potsdam, Germany
Bodo Damm
Institute for Applied Physical Geography, University of Vechta, Vechta, Germany
Uwe Ulbrich
Institute for Meteorology, Freie Universität Berlin, Berlin, Germany
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Cited
12 citations as recorded by crossref.
- Open gridded climate datasets can help investigating the relation between meteorological anomalies and geomorphic hazards in mountainous areas R. Paranunzio & F. Marra 10.1016/j.gloplacha.2023.104328
- A preliminary investigation of the small rockfall triggering conditions along a road network in Slovenia E. Šegina et al. 10.1007/s10346-024-02302-z
- Investigating the influences of precipitation, snowmelt, and freeze-thaw on rockfall in Glenwood Canyon, Colorado using terrestrial laser scanning L. Weidner et al. 10.1007/s10346-024-02266-0
- Compound events in Germany in 2018: drivers and case studies E. Xoplaki et al. 10.5194/nhess-25-541-2025
- The effect of climate change on landslide probability in Germany K. Nissen et al. 10.1007/s10346-025-02555-2
- A decrease in rockfall probability under climate change conditions in Germany K. Nissen et al. 10.5194/nhess-23-2737-2023
- Seasonality of rockfall triggers and conditioning factors interpreted from a lidar-derived rockfall database A. Malsam & G. Walton 10.1016/j.enggeo.2024.107500
- Climate sensitivity of natural hazards processes in mountain regions: A fuzzy logic approach P. Mani et al. 10.1016/j.geomorph.2024.109329
- Detecting the impact of climate change on alpine mass movements in observational records from the European Alps M. Jacquemart et al. 10.1016/j.earscirev.2024.104886
- Remote Sensing Techniques for Assessing Snow Avalanche Formation Factors and Building Hazard Monitoring Systems N. Denissova et al. 10.3390/atmos15111343
- Rockfall Vulnerability of a Rural Road Network—A Methodological Approach in the Harz Mountains, Germany A. Wohlers & B. Damm 10.3390/geosciences12040170
- Predictive modelling of rainfall-induced rockfall: a copula-based approach F. Bahootoroody et al. 10.1080/17499518.2025.2536279
10 citations as recorded by crossref.
- Open gridded climate datasets can help investigating the relation between meteorological anomalies and geomorphic hazards in mountainous areas R. Paranunzio & F. Marra 10.1016/j.gloplacha.2023.104328
- A preliminary investigation of the small rockfall triggering conditions along a road network in Slovenia E. Šegina et al. 10.1007/s10346-024-02302-z
- Investigating the influences of precipitation, snowmelt, and freeze-thaw on rockfall in Glenwood Canyon, Colorado using terrestrial laser scanning L. Weidner et al. 10.1007/s10346-024-02266-0
- Compound events in Germany in 2018: drivers and case studies E. Xoplaki et al. 10.5194/nhess-25-541-2025
- The effect of climate change on landslide probability in Germany K. Nissen et al. 10.1007/s10346-025-02555-2
- A decrease in rockfall probability under climate change conditions in Germany K. Nissen et al. 10.5194/nhess-23-2737-2023
- Seasonality of rockfall triggers and conditioning factors interpreted from a lidar-derived rockfall database A. Malsam & G. Walton 10.1016/j.enggeo.2024.107500
- Climate sensitivity of natural hazards processes in mountain regions: A fuzzy logic approach P. Mani et al. 10.1016/j.geomorph.2024.109329
- Detecting the impact of climate change on alpine mass movements in observational records from the European Alps M. Jacquemart et al. 10.1016/j.earscirev.2024.104886
- Remote Sensing Techniques for Assessing Snow Avalanche Formation Factors and Building Hazard Monitoring Systems N. Denissova et al. 10.3390/atmos15111343
2 citations as recorded by crossref.
Latest update: 28 Aug 2025
Short summary
A statistical model is introduced which quantifies the influence of individual potential triggering factors and their interactions on rockfall probability in central Europe. The most important factor is daily precipitation, which is most effective if sub-surface moisture levels are high. Freeze–thaw cycles in the preceding days can further increase the rockfall hazard. The model can be applied to climate simulations in order to investigate the effect of climate change on rockfall probability.
A statistical model is introduced which quantifies the influence of individual potential...
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