Compound Events under Global Warming: A Dependence Perspective
Publication: Journal of Hydrologic Engineering
Volume 25, Issue 9
Abstract
Due to enhanced impacts of compound events, the importance of assessing climate change impacts on extremes from a multivariate perspective has recently been receiving considerable attention. This study provides a state-of-the-art review of compound events from the perspective of the dependence of multiple contributing variables, based on both synthetic data sets and observations. The cause of dependence, the relationship between dependence and likelihoods of compound events, and changes in risks associated with dependence changes are reviewed, with the illustration of two typical examples of compound dry–hot events and compound flooding events. Also discussed are related topics, including impacts of sample sizes, multivariate bias correction of dependence, and separating driving factors of compound event changes. Insights provided by this study will be useful for building resilience to cope with compound extremes under changing climate.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the submitted article.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (NSFC, No. 41601014). Precipitation and temperature observations were obtained from the Climatic Research Unit (CRU TS v. 3.25) of the University of East Anglia (http://www.cru.uea.ac.uk/data). Monthly precipitation and runoff were obtained from NOAA Climate Prediction Center (CPC) website (ftp://ftp.cpc.ncep.noaa.gov/wd51yf/us). Historical precipitation and temperature simulations from Coupled Model Intercomparison Project (CMIP5) were obtained from https://esgf-node.llnl.gov/projects/cmip5/.
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Journal of Hydrologic Engineering
Volume 25 • Issue 9 • September 2020
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© 2020 American Society of Civil Engineers.
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Published online: Jul 2, 2020
Published in print: Sep 1, 2020
Discussion open until: Dec 2, 2020
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