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The Frieler connection zeean – a global perspective on supply chain disruption Katja Frieler Nicole Glanemann Leonie Wenz Sven Willner Anders Levermann Christian Otto [email protected] @ALevermann Adaptation is a Global Problem 1. Impacts happen locally, but are caused globally. Any fair adaptation scheme must be global. 2. Some impacts are global (sea-level rise) Adapation example: snow canons on Antarctica 3. World is globally connected. zeean – economic damage propagation model #1 Anders Levermann 1 A global impact: sea-level rise Long-term sea-level commitment Physical models: 2.3 m per degree of warming Levermann, et al. PNAS, 2013. Paleo data: At 2C of warming: > 5m sea-level rise #2 Dutton et al. Nature, 2015. Anders Levermann A global impact: sea-level rise & Cultural heritage #3 Marzeion & Levermann, ERL, 2014. 2 A global impact: sea-level rise & coastal cities Strauss, Skulp, Levermann, PNAS (2015). www.sealevel.climatecentral.org unmitigated warming Strong carbon cuts #4 A global impact: sea-level rise & tipping in Antarctica? Eventually ice-free planet East Antarctica Winkelmann, Levermann, Ridgwell, Caldeira, Science Advances, 2015. West Antarctica Mengel & Levermann, Nature Climate Change, 2014. #5 Feldmann & Levermann, PNAS, 2015. 3 Adaptation to sea-level: Storing water on Antarctica Snow canons on Antarctica #6 …wind-powered Frieler, Mengel, Levermann, Earth System Dynamics, 2016. Adaptation to sea-level: Storing water on Antarctica Good news • It works: Sea-level rise can be delayed by 1000 years if water is stored 800 km inland of Antarctica. • It‘s global: It protects all coasts globally, even those w\o economic value. • The wave is linear, i.e. return time doesn`t depend on water amount. • Lots of energy: Antarctica is the windiest place on the planet. • Small damage: There is almost no ecosystem in Antarctica‘s interior. Bad news • Lots of energy: 10% of global energy production required to pump enough water up to 4000-meter-high Antarctic ice sheet. • Damage: There is an ecosystem at the coast. Conclusion • Let‘s perhaps not do it?! … or should we? @SeaLevelDelay #7 Frieler, Mengel, Levermann, Earth System Dynamics, 2016. 4 Extreme events: Summer heat in Europe Courtesy: Dim Coumou #8 Extrem events: a changing jetstream? #9 Source: NASA Courtesy: Dim Coumou 5 Eurasian, Summer 2010 Pakistan Flood Courtesy: Dim Coumou #10 zeean – the economic flow database • Global economic network for static analysis and as basis for damage propagation. www.zeean.net • Refinement to 400 sub-national sectors still running. #11 @zeeanIT Wenz et al.; Economic Systems Research (2015). Sven Willner, Robert Bierkandt, Leonie Wenz, Anders Levermann 6 acclimate – the damage propagation model • Basic damage propagation along supply chains: Bierkandt et al., ES&D (2014) & Wenz et al., ES&D (2014). Agent-based model: each production site is an agent with universal decision rational Decision rational: • Each production site manages purchase & sale to get back to initial state which is assumed to be optimal. acclimate 1.0 • Decisions based on profit optimization: Decision rational: • Each production site manages purchase & sale to maximize its profit. • No foresight & no oversight, i.e. minimal info on competitors (local in time and space) Otto, Willner et al., Economic Modeling, submitted. Maximum profit acclimate 2.0 #12 acclimate 2.0 – market adaptation +0.1 Daily production change Value of production change [bn US$] +0.05 -0.5 Daily loss [bn US$] -0.25 0.5 Production network adapts to reduce the loss Direct loss due to flooding Total loss due to flooding 0 0 #13 Price dynamics is central in this adaptation. 1000 days 0 1000 days Otto, Willner et al., Economic Modeling, submitted. 7 acclimate 2.0 – long-term repercussions 20-day failure of machinery in Japan: long-term global repercussions #14 Otto, Willner et al., Economic Modeling, submitted. acclimate 2.0 – global effects 20-day failure of machinery in Japan: cumulative consumption change #15 Otto, Willner et al., Economic Modeling, submitted. 8 acclimate – future plans • Adapting the network structure (Sven Willner) new supplier repeated failure Decision rational: • Maximum profit • Limited controlled time horizon, i.e. some foresight • Some information about competitors, i.e. some oversight • Include capital stocks and investment (Nicole Glanemann) $ #16 Decision rational: • Maximum profit • Limited but finite time horizon • Some information about competitors (spatial horizon) • Long-term investment strategy Observed reduction in productivity under heat stress Depending on the sector Solomon Hsiang finds ~2% reduction of productivity for each degree of warming above 27C. #17 Hsiang, PNAS, 2010. 9 Production failure propagation: heat stress Production failure increases with global mean temperature and the economic structure. #18 Wenz & Levermann, Science Advances, under review. Sensitivity of the production to warming Loss sensitivity depends on the network structure. 1991 – 2000: Stable at 0.2 tr USD / C 2001 – 2010: increase by 400-500%. #19 Wenz & Levermann, Science Advances, under review. 10 Supply Propagation Connectivity The sensitivity of the network is directly proportional to the Supply Propagation Connectivity. For economic network Zir→js Glanemann, Willner, Bierkandt, Wenz, Levermann, J Economic Geography, 2016, submitted. www.zeean.net @zeeanIT #20 Wenz & Levermann, Science Advances, under review. The Frieler connection Thank you! zeean – a global perspective on supply chain disruption Katja Frieler Nicole Glanemann Leonie Wenz Sven Willner Anders Levermann Christian Otto [email protected] @ALevermann 11