Compound Events and Multi-Hazard Analytics
Co-organized by AS6/CL6/HS11/NH14
Convener:
Guilherme Mendoza GuimarãesECSECS
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Co-conveners:
Joren JanzingECSECS,
Ilias Pechlivanidis,
Maria-Helena Ramos,
Leonore BoeleeECSECS
In this Short Course, we will introduce compound events, their types (preconditioned, multivariate, temporally compounding, and spatially compounding events), and the methods used to detect and characterize them. We will highlight the advantages and limitations of statistical methods (regression, multivariate statistics, and classification), empirical approaches based on large datasets, high-dimension approaches such as copulas, and complex network-based techniques that help to identify non-trivial spatio-temporal patterns of extreme events.
The Short Course will focus on sharing experience from a wide range of applications worldwide, state-of-the-art methodological approaches, open access code and datasets, and will allow participants to discuss their own challenges in detecting, characterizing and assessing the risk of compound events in diverse contexts (climate, atmospheric, hydrologic, ocean and natural hazards sciences).
The oral presentations are given in a hybrid format supported by a Zoom meeting featuring on-site and virtual presentations. The button to access the Zoom meeting appears just before the time block starts.