A generative framework using Bayesian spatial quantile regression, nonstationary GEV models, and copulas attributes heatwave probability and persistence to anthropogenic forcing via factual-counterfactual comparisons in CMIP6 simulations.
ห๐ฝQR ๐ (๐๐ ,s) โค =arg min ๐ทQR โ๏ธ ๐ก โ๏ธ ๐ ๐๐๐ ๐ฅ(s, ๐, ๐ก) โc(๐ก) โค ๐ทQR ,(S2) where ๐๐ (๐ข)=๐ขยท (๐โ1{๐ข <0}) is the pinball loss
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A spatio-temporal statistical framework for heatwave attribution under climate change
A generative framework using Bayesian spatial quantile regression, nonstationary GEV models, and copulas attributes heatwave probability and persistence to anthropogenic forcing via factual-counterfactual comparisons in CMIP6 simulations.