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Studying compound events often requires a multidisciplinary approach combining domain knowledge of the underlying processes with, for example, statistical methods and climate model outputs. Recently, to aid the development of research on compound events, four compound event types were introduced, namely (a) <jats:italic>preconditioned<\/jats:italic>, (b) <jats:italic>multivariate<\/jats:italic>, (c) <jats:italic>temporally compounding<\/jats:italic>, and (d) <jats:italic>spatially compounding<\/jats:italic> events. However, guidelines on how to study these types of events are still lacking. Here, we consider four case studies, each associated with a specific event type and a research question, to illustrate how the key elements of compound events (e.g., analytical tools and relevant physical effects) can be identified. These case studies show that (a) impacts on crops from hot and dry summers can be exacerbated by preconditioning effects of dry and bright springs. (b) Assessing compound coastal flooding in Perth (Australia) requires considering the dynamics of a non\u2010stationary multivariate process. For instance, future mean sea\u2010level rise will lead to the emergence of concurrent coastal and fluvial extremes, enhancing compound flooding risk. (c) In Portugal, deep\u2010landslides are often caused by temporal clusters of moderate precipitation events. Finally, (d) crop yield failures in France and Germany are strongly correlated, threatening European food security through spatially compounding effects. These analyses allow for identifying general recommendations for studying compound events. Overall, our insights can serve as a blueprint for compound event analysis across disciplines and sectors.<\/jats:p>","DOI":"10.1029\/2021ef002340","type":"journal-article","created":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T17:54:23Z","timestamp":1635184463000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":160,"title":["Guidelines for Studying Diverse Types of Compound Weather and Climate Events"],"prefix":"10.1029","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0472-5183","authenticated-orcid":false,"given":"Emanuele","family":"Bevacqua","sequence":"first","affiliation":[{"name":"Department of Computational Hydrosystems Helmholtz Centre for Environmental Research\u2014UFZ  Leipzig Germany"},{"name":"Department of Meteorology University of Reading  Reading UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7098-4725","authenticated-orcid":false,"given":"Carlo","family":"De Michele","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering Politecnico di Milano  Milano Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5364-3569","authenticated-orcid":false,"given":"Colin","family":"Manning","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geosciences Newcastle University  Newcastle upon Tyne UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9372-841X","authenticated-orcid":false,"given":"Ana\u00efs","family":"Couasnon","sequence":"additional","affiliation":[{"name":"Institute for Environmental Studies Vrije Universiteit Amsterdam  Amsterdam The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0481-0337","authenticated-orcid":false,"given":"Andreia F. 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