New research aims to better predict and understand cascading land surface hazards
When an extreme weather event occurs, the probability or risk of other events can often increase, leading to what researchers call "cascading" hazards.
Extreme event statistics is a class of quantitative techniques focused on modeling the probability, frequency, and magnitude of rare, high-impact events using formal frameworks such as extreme value theory (EVT) and peaks-over-threshold (POT) analysis. It typically involves fitting generalized extreme value (GEV) or generalized Pareto distributions (GPD) to the tails of empirical data, estimating return levels and return periods, and quantifying tail dependence in multivariate settings. These methods are crucial in disciplines where risk is dominated by low-probability extremes, enabling rigorous extrapolation beyond observed ranges and uncertainty quantification for tail-related parameters.
When an extreme weather event occurs, the probability or risk of other events can often increase, leading to what researchers call "cascading" hazards.
Earth Sciences
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General Physics
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