Work

Uncertainty quantification in landslide run-out simulations

Year: 2023

Type: other

Abstract: This collection stores data used in the publication Yildiz et al. (2023). Yildiz A, Zhao H and Kowalski J (2023), Computationally-feasible uncertainty quantification in model-based landslide risk assessment. Front. Earth Sci. 10:1032438. doi: 10.3389/feart.2022.1032438

Source: Figshare

DOI: 10.6084/m9.figshare.c.6172702

Authors: Yildiz, Anil, Zhao, Hu, Kowalski, Julia

Language: English

Topic: Landslides and related hazards

Subfield: Management, Monitoring, Policy and Law

Field: Environmental Science

Domain: Physical Sciences

Open Access status: green

Funder: Deutsche Forschungsgemeinschaft

Award: Verbesserung der Vorhersagekraft von Simulationsmodellen für Naturgefahren durch Massenbewegungen Optimale Versuchsplanung und Modellselektion

OpenAlex ID: W6977763333

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Cited by: 1

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