Extreme temperature indices in Eurasia in a CMIP6 multi‐model ensemble: Evaluation and projection

More than two‐thirds of the world's population reside Eurasia. We comprehensively project the spatial patterns of changes in five selected extreme temperature indices in different periods under future scenarios and at different global warming levels by using 24 CMIP6 model simulations and evaluating their performances. We showed the avoided changes at the local scale and revealed that if global warming can be controlled to within a low warming target, the risk of extreme temperature change will be greatly reduced.