Exploring implications of input parameter uncertainties in glacial lake outburst flood (GLOF) modelling results using the modelling code r.avaflow
<p>Modelling complex mass flow processes, such as glacial lake outburst floods (GLOFs), for hazard and risk assessments requires extensive data and computational resources. Researchers often rely on low-resolution, open-access datasets and parameters derived from plausibility due to the diffic...
Saved in:
| Main Authors: | S. Rinzin, S. Dunning, R. J. Carr, A. Sattar, M. Mergili |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-06-01
|
| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://nhess.copernicus.org/articles/25/1841/2025/nhess-25-1841-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
From vulnerability to resilience: community-based approaches in glacial lake outburst flood (GLOF) risk mitigation
by: Rayees Ahmed
Published: (2025-04-01) -
Refining lake volume estimation and critical depth identification for enhanced glacial lake outburst flood (GLOF) event anticipation
by: N. A. Bazai, et al.
Published: (2024-12-01) -
Causes, consequences and implications of the 2023 landslide-induced Lake Rasac glacial lake outburst flood (GLOF), Cordillera Huayhuash, Peru
by: A. Emmer, et al.
Published: (2025-03-01) -
A mathematical model to improve water storage of glacial lake prediction towards addressing glacial lake outburst floods
by: M. Qi, et al.
Published: (2025-02-01) -
Assessing national exposure to and impact of glacial lake outburst floods considering uncertainty under data sparsity
by: H. Chen, et al.
Published: (2025-02-01)