2021
DOI: 10.1016/j.crm.2021.100285
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Inventories of extreme weather events and impacts: Implications for loss and damage from and adaptation to climate extremes

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Cited by 52 publications
(37 citation statements)
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References 74 publications
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“…As described earlier, extreme event attribution (EEA) studies compare a world without human-induced climate change created using computer modeling simulations, against the world we have today using observational data. The results of this comparison help us to measure how much more/less likely or more/less severe a particular weather event became due to anthropogenic climate change (Clarke, Otto, and Jones 2021). Two such studies were published by the umbrella science organization World Weather Attribution (WWA) in June and August of 2019 that offered insights into the extent to which the 2019 heatwaves were impacted by climate change.…”
Section: Literature Reviewmentioning
confidence: 99%
“…As described earlier, extreme event attribution (EEA) studies compare a world without human-induced climate change created using computer modeling simulations, against the world we have today using observational data. The results of this comparison help us to measure how much more/less likely or more/less severe a particular weather event became due to anthropogenic climate change (Clarke, Otto, and Jones 2021). Two such studies were published by the umbrella science organization World Weather Attribution (WWA) in June and August of 2019 that offered insights into the extent to which the 2019 heatwaves were impacted by climate change.…”
Section: Literature Reviewmentioning
confidence: 99%
“…• projecting the risk of compound extremes for different levels of future warming (Zscheischler et al, 2018;Wang et al, 2020); • evaluating the impacts of the compound extremes on natural and built environments (AghaKouchak et al, 2020;Zhang and Najafi, 2020); • developing adaptation measures to the changing risk of compound extremes (Weber et al, 2020;Clarke et al, 2021); • enhancing subseasonal-to-seasonal prediction of these extremes (Zamora et al, 2021;Zou, 2021); • improving the representation and evaluation of compound extremes in fully-coupled climate models (Ridder et al, 2021;Zscheischler et al, 2021) and developing multivariate bias correction for these models (Vezzoli et al, 2017;Zscheischler et al, 2019); • applying machine learning to understand these extremes Zou, 2021).…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…The Russian heatwave, meanwhile, was found to have been made 5 times more likely to occur by the climate change observed since 1960 (Rahmstorf and Coumou 2011). In the UK, estimates using simple hazard-based FAR methodology link around 1,500 excess deaths from three heatwaves directly to climate change (Clarke et al 2021). And another study on the 2003 heatwave used an end-to-end approach, combining meteorological attribution with the effect of temperatures on mortality, to directly attribute deaths in Greater London and Central Paris; 64 additional Londoners (∼20% of the total) and 506 Parisians (∼70% of the total) died due to the influence of climate change (Mitchell et al 2016).…”
Section: Attributable Impactsmentioning
confidence: 99%