Articles | Volume 26, issue 8
https://doi.org/10.5194/nhess-26-3637-2026
© Author(s) 2026. 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-26-3637-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Aug 2026
Research article |
| 06 Aug 2026
| 06 Aug 2026
Dynamic spatial modelling of mass movement impacts for large areas: a data-driven framework for impact-based early warning
GeoSphere Austria, Vienna, Austria
Raphael Spiekermann
GeoSphere Austria, Vienna, Austria
Mateo Moreno
OpenGeoHub Foundation, Doorwerth, the Netherlands
Sebastian Lehner
GeoSphere Austria, Vienna, Austria
Department for Meteorology and Geophysics, University of Vienna, Vienna, Austria
Katharina Enigl
GeoSphere Austria, Vienna, Austria
Department for Meteorology and Geophysics, University of Vienna, Vienna, Austria
Alice Crespi
Center for Climate Change and Transformation, Eurac Research, Bozen/Bolzano, Italy
Matthias Schlögl
GeoSphere Austria, Vienna, Austria
Department of Landscape, Water and Infrastructure, BOKU University, Vienna, Austria
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Short summary
We developed three space-time models to predict the daily impact potential of mass movements on infrastructure in the Alps, distinguishing slides, flows, and falls. The basin-scale approach accounts for potential process paths and integrates meteorological, geo-environmental, and exposure information. Results indicate suitability for impact-based warning. We discuss the broad applicability of the modelling framework to other impacts and beyond the warning context.
We developed three space-time models to predict the daily impact potential of mass movements on...
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