Articles | Volume 25, issue 7
https://doi.org/10.5194/nhess-25-2179-2025
https://doi.org/10.5194/nhess-25-2179-2025
Research article
 | 
04 Jul 2025
Research article |  | 04 Jul 2025

Tree fall along railway lines: modelling the impact of wind and other meteorological factors

Rike Lorenz, Nico Becker, Barry Gardiner, Uwe Ulbrich, Marc Hanewinkel, and Benjamin Schmitz

Data sets

Historische stündliche RADOLAN-Raster der Niederschlagshöhe (binär) DWD https://opendata.dwd.de/climate_environment/CDC/grids_germany/hourly/radolan/historical/bin/

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Short summary
Tree fall events have an impact on forests and transport systems. Our study explored tree fall in relation to wind and other weather conditions. We used tree fall data along railway lines and ERA5 and radar meteorological data to build a logistic regression model. We found that high and prolonged wind speeds, wet conditions, and high air density increase tree fall risk. These factors might change in the changing climate, which in return will change risks for trees, forests and transport.
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