Ergebnisse

Tools

CRiSDACRiSDA
Demonstrator eines Klimarisikodienstes am Beispiel Dürre
CESARECESARE
Nationale Schaden- und Ereignisdatenbank für Österreich

Ausgewählte Journal Papers

Veröffentlicht

  • Crippa, C., Steger, S., Cuozzo, G., Bearzot, F., Mair, V., & Notarnicola, C. (2025). Optimizing rock glacier activity classification in South Tyrol (northeastern Italy): integrating multisource data with statistical modelling. The Cryosphere, 19, 3493–3515. https://doi.org/10.5194/tc-19-3493-2025. Link: https://tc.copernicus.org/articles/19/3493/2025/

  • Moreno, M., Lombardo, L., Steger, S., de Vugt, L., Zieher, T., Crespi, A., et al. (2025). Functional regression for space‐time prediction of precipitation‐induced shallow landslides in South Tyrol, Italy. Journal of Geophysical Research: Earth Surface, 130.. Link: https://doi.org/10.1029/2024JF008219

  • Caleca, F., Lombardo, L., Steger, S., Tanyas, H., Raspini, F., Dahal, A., … & Tofani, V. (2025). Pan‐European landslide risk assessment: From theory to practice. Reviews of Geophysics, 63(1). https://doi.org/10.1029/2023RG000825

  • Steger, S., Moreno, M., Crespi, A., Gariano, S. L., Brunetti, M. T., Melillo, M., Peruccacci, S., Marra, F., de Vugt, L., Zieher, T., Rutzinger, M., Mair, V., & Pittore, M. (2024). Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds. Geoscience Frontiers, 15(5), 101822. https://doi.org/10.1016/j.gsf.2024.101822

  • Alvioli, M., Loche, M., Jacobs, L., Grohmann, C. H., Abraham, M. T., Gupta, K., Satyam, N., Scaringi, G., Bornaetxea, T., Rossi, M., Marchesini, I., Lombardo, L., Moreno, M., Steger, S., Camera, C. A. S., Bajni, G., Samodra, G., Wahyudi, E. E., Susyanto, N., Sinčić, M., Bernat Gazibara, S., Sirbu, F., Torizin, J., Schüßler, N., Mirus, B. B., Woodard, J. B., Aguilera, H., & Rivera-Rivera, J. (2024). A benchmark dataset and workflow for landslide susceptibility zonation. Earth-Science Reviews, 258, 104927. https://doi.org/10.1016/j.earscirev.2024.104927

  • Geiger, T., Röösli, T., Bresch, D.N., Erhardt, B., Fischer, A.M., Imgrüth, D., Kienberger, S., Mainetti, L., Mühlbacher, G., Spiekermann, R., 2024. How to provide actionable information on weather and climate impacts?–A summary of strategic, methodological, and technical perspectives. Front. Clim. 6, 1343993. https://doi.org/10.3389/fclim.2024.1343993

  • Schlögl, M., Spiekermann, R., Steger, S., 2025. Towards a holistic assessment of landslide susceptibility models: insights from the Central Eastern Alps. Environ Earth Sci 84, 113. https://doi.org/10.1007/s12665-024-12041-y

  • Schlögl, M., Graser, A., Spiekermann, R., Lampert, J., and Steger, S.: Brief communication: Visualizing uncertainties in landslide susceptibility modeling using bivariate mapping, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2024-213, in review, 2024.

  • Themessl, M.; Enigl, K.; Reisenhofer, S.; Köberl, J.; Kortschak, D.; Reichel, S.; Ostermann, M.; Kienberger, S.; Tiede, D.; Bresch, D.N.; et al. Collection, Standardization and Attribution of Robust Disaster Event Information—A Demonstrator of a National Event-Based Loss and Damage Database in Austria. Geosciences 2022, 12, 283. https://doi.org/10.3390/geosciences12080283

Preprint

  • Steger, S., Spiekermann, R., Moreno, M., Lehner, S., Enigl, K., Crespi, A., & Schlögl, M. (2025). Impact-based early warning of mass movements – A dynamic spatial modelling approach for the Alpine region. EGUsphere [preprint]. Link: https://doi.org/10.5194/egusphere-2025-4940, 2025.

Sonstige Veröffentlichungen