Expertises
Earth and Planetary Sciences
- Landslide
- Model
- Datum
- Italy
- Prediction
- Modeling
- Time
- Area
Organisaties
Publicaties
2025
A dynamic landslide model for early warnings in Colombia's roads (2025)[Contribution to conference › Abstract] EGU General Assembly 2025. Urueña Ramirez, D. A., Moreno, M., Lombardo, L., Gómez, D., Vega, J. & van Westen, C.https://doi.org/10.5194/egusphere-egu25-20285Space-time data-driven modeling of wildfire initiation in the mountainous region of Trentino-Alto Adige, Italy (2025)[Contribution to conference › Abstract] EGU General Assembly 2025. Moreno, M., Steger, S., Bozzoli, L., Terzi, S., Trucchia, A., van Westen, C. & Lombardo, L.https://doi.org/10.5194/egusphere-egu25-17023Data-driven modeling of mass movement damage potential across the Alpine Space: A step toward impact-based early warning (2025)[Contribution to conference › Abstract] EGU General Assembly 2025. Steger, S., Spiekermann, R., Lehner, S., Enigl, K., Moreno, M., Crespi, A. & Schlögl, M.https://doi.org/10.5194/egusphere-egu25-9819Software. Reproducible results. Modeling the area of co-seismic landslides via data-driven models: The Kaikōura example (2025)[Dataset Types › Dataset]. Zenodo. Moreno, M.https://doi.org/10.5281/zenodo.15028434Comprehensive multi-hazard risk assessment in data-scarce regions: A study focused on Burundi (2025)[Working paper › Preprint]. European Geosciences Union (E-pub ahead of print/First online). Delves, J., Renner, K., Campalani, P., Piñón, J., Schneiderbauer, S., Steger, S., Moreno, M., Oterino, M. B. B., Perez, E. & Pittore, M.https://doi.org/10.5194/egusphere-2024-3445
2024
Functional regression for space-time prediction of precipitation-induced shallow landslides in South Tyrol, Italy (2024)[Working paper › Preprint]. Earth ArXiv. Moreno, M., Lombardo, L., Steger, S., de Vugt, L., Zieher, T., Crespi, A., Marra, F., van Westen, C. & Opitz, T.https://doi.org/10.31223/X5VB0MSoftware. Reproducible results. Functional regression for space-time prediction of precipitation-induced shallow landslides in South Tyrol, Italy (2024)[Dataset Types › Dataset]. Zenodo. Moreno, M.https://doi.org/10.5281/zenodo.15033257A benchmark dataset and workflow for landslide susceptibility zonation (2024)Earth-science reviews, 258. Article 104927. 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., … Rivera-Rivera, J.https://doi.org/10.1016/j.earscirev.2024.104927Hindcast of daily dynamic wildfire probabilities – Trentino and South Tyrol, 2022 (2024)[Dataset Types › Dataset]. Zenodo. Moreno, M., Renner, K. & BOZZOLI, L.https://doi.org/10.5281/zenodo.13865655Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds (2024)Geoscience Frontiers, 15(5). Article 101822. Steger, S., Moreno, M., Crespi, A., Luigi Gariano, S., Brunetti, M. T., Melillo, M., Peruccacci, S., Marra, F., de Vugt, L., Zieher, T., Rutzinger, M., Mair, V. & Pittore, M.https://doi.org/10.1016/j.gsf.2024.101822
Onderzoeksprofielen
Adres
Universiteit Twente
Langezijds (gebouwnr. 19), kamer 1415
Hallenweg 8
7522 NH Enschede
Universiteit Twente
Langezijds 1415
Postbus 217
7500 AE Enschede
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