Recovery time and exposure for six harmonized extreme climate event categories under global warming | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Recovery time and exposure for six harmonized extreme climate event categories under global warming Karim Zantout, Dánnell Quesada-Chacón, Sandra Zimmermann, Jan Volkholz, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9039183/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Climate variability gives rise to different extreme events, including crop failure, drought, flood, heatwave, tropical cyclone, and wildfire. The temporal and spatial characteristics of these events have already begun to shift, and are expected to change further under continued global warming. In studies of climate change impacts, different types of events are often studied in isolation. However, locations exposed to extreme events are typically not only affected by a single extreme event category. We therefore quantify exposure and mean recovery times for six different extreme event types on a 0.5°×0.5° global grid under historical and projected future climates. We use harmonized ensembles of global biophysical impact simulations driven with (i) bias-adjusted climate data, to assess current conditions, and (ii) climate model projections, to quantify future changes in recovery times. While we observe a decrease in global mean recovery time as a function of warming level across all event types, the decrease rates differ strongly between event types ranging from constant to flattening rates. Being able to quantify the temporal evolution of recovery times is crucial for disaster planning and adaptation or relocation efforts. Climate Analysis and Modeling Climatology climate extreme events climate scenarios recovery times crop failure drought heat wave flood tropical cyclone wildfire Full Text Additional Declarations The authors declare no competing interests. Supplementary Files mainsupplement.pdf Supplementary Information: Recovery time and exposure for six harmonized extreme climate event categories under global warming Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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