Articles | Volume 20, issue 8
Research article
06 Aug 2020
Research article |  | 06 Aug 2020

Evaluating the efficacy of bivariate extreme modelling approaches for multi-hazard scenarios

Aloïs Tilloy, Bruce D. Malamud, Hugo Winter, and Amélie Joly-Laugel


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Latest update: 17 Apr 2024

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
Estimating risks induced by interacting natural hazards remains a challenge for practitioners. An approach to tackle this challenge is to use multivariate statistical models. Here we evaluate the efficacy of six models. The models are compared against synthetic data which are comparable to time series of environmental variables. We find which models are more appropriate to estimate relations between hazards in a range of cases. We highlight the benefits of this approach with two examples.
Final-revised paper