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- Title
Brief communication: SWM: Stochastic Weather Model for precipitation-related hazard assessments.
- Authors
Whitehead, Melody G.; Bebbington, Mark S.
- Abstract
Long-term hazard and risk assessments are produced by combining many hazard-model simulations, each using slightly different set of inputs to cover the uncertainty space. While most input parameters for these models are relatively well-constrained, atmospheric parameters remain problematic unless working on very short-time scales (hours to days). Precipitation is a key trigger for many natural hazards including floods, landslides, and lahars. This work presents a stochastic catchment-scale weather model that takes openly available ERA5-land data, and produces long-term, spatially varying precipitation data that mimics the statistical dimensions of real-data. This allows precipitation to be robustly included in hazard- model simulations.
- Subjects
RISK assessment; STOCHASTIC models; LAHARS; LANDSLIDES; FLOOD risk
- Publication
Natural Hazards & Earth System Sciences Discussions, 2023, p1
- ISSN
2195-9269
- Publication type
Article
- DOI
10.5194/nhess-2023-160