Quantification of meteorological conditions for rockfall triggers in Germany

Nissen, Katrin M.; Rupp, Stefan; Kreuzer, Thomas M.; Guse, Björn; Damm, Bodo; Ulbrich, Uwe

doi:https://doi.org/10.5194/nhess-22-2117-2022

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.

https://doi.org/10.5194/nhess-22-2117-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 6

Research article

|

23 Jun 2022

Research article |

| 23 Jun 2022

Quantification of meteorological conditions for rockfall triggers in Germany

Katrin M. Nissen, Stefan Rupp, Thomas M. Kreuzer, Björn Guse, Bodo Damm, and Uwe Ulbrich

Supplement

https://doi.org/10.5194/nhess-22-2117-2022-supplement

Data sets

E-OBS gridded dataset European Climate Assessment and Dataset (ECA{\&}D) https://www.ecad.eu/download/ensembles/ensembles.php

Reprocessed gauge-adjusted radar-data, one-hour precipitation sums (RW) T. Winterrath, C. Brendel, M. Hafer, T. Junghänel, A. Klameth, K. Lengfeld, E. Walawender, E. Weigl, and A. Becker https://doi.org/10.5676/DWD/RADKLIM_RW_V2017.002

EU-DEM v1.1 Copernicus Land Monitoring Service https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1

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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.