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

Data sets

E-OBS gridded dataset European Climate Assessment and Dataset (ECA{\&}D)

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

EU-DEM v1.1 Copernicus Land Monitoring Service

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.
Final-revised paper