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).
Additional information with the topics covered and jupyter notebooks can be accessed at:
https://compound-events-multihazard-shortcourse.github.io/
Session assets
Speakers
- Christopher White, University of Strathclyde, United Kingdom
- Marleen de Ruiter, VU University Amsterdam, Netherlands
- Judith Claassen, Vrije Universiteit Amsterdam, Netherlands
- Taís Maria Nunes Carvalho, Helmholtz Center for Environmental Research, Germany