Is the strong future warming found in several next-generation #CMIP6 climate models realistic? We apply weights based on the models’ historical performance and independence to find out.
Our study is now published in @EGU_ESD 👇 doi.org/10.5194/esd-11…
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We calculate distributions of change in different variables, like the Transient Climate Response (a comparable measure for how much a model warms due to CO2 🏭). Weighting can considerably shift these distributions and increase their skill.
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We find the multi-model distributions of Transient Climate Response as well as future warming to be shifted downward by applying the combined performance-independence weights. Decisive climate action is still needed but the most extreme warming might be less realistic. 🌡️
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Our results hold for both, the low emission pathway SSP1-2.6 as well as the high emission pathway SSP5-8.5 and during the entire 21st century. 📈
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A large effect comes from several high-warming models (orange labels) receiving systematically lower weights.
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What about independence of information (when calculating statistics)? Some climate models are "related" due to, e.g., shared components. We identify them based on their output, cluster them in a #CMIP6 family tree 🌳, and account for the dependence.
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Evaluation of the method: since there are no observations from the future we use all the last-generation #CMIP5 models as pseudo observations. Median skill increases for all cases by 12-22%! 💪
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We also provide additional information such as weights and warming per model in the supplement to our study. 📊🤓 doi.org/10.5194/esd-11…
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Bonus: The Climate model Weighting by Independence and Performance (ClimWIP) method is freely available on @github: github.com/lukasbrunner/C…
We have collected 8 different methods looking into this question! Check out our new @AMSJCLi paper for a comparison and discussion 👇 doi.org/10.1175/JCLI-D…
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Main takeaway: 🌡️ Under a high emission scenario we have to expect 2-3°C of additional warming in #Europe by the middle of the century.
🌍However, exact numbers across methods vary in several regions (such as Northern Europe)!
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Our paper confirms earlier results finding a drying 🌧️☀️ in the Mediterranean but at the same time the divergence between methods is considerable and needs additional research!