“…Global climate models (GCMs) play a fundamental role in projecting the mean and extreme surface variables in China under various shared socioeconomic pathways (SSPs) for different future periods. These variables include wind speed (e.g., Wu et al, 2020; Zha et al, 2023), temperature and precipitation (e.g., Li et al, 2023; Sun et al, 2018; Xu et al, 2022; Yang et al, 2021; Yue et al, 2021), drought (e.g., Su et al, 2021) and haze (e.g., Cai et al, 2017; J. Wang et al, 2022). For example, by using GCMs from the Coupled Model Intercomparison Project (CMIP) Phase 6 (CMIP6), Yue et al (2021) reported that, in the long term (2081–2100), the Tasmax averaged over the YRB is projected to increase by 1.75, 2.72 and 5.04°C under SSP scenarios SSP126, SSP245 and SSP585, respectively.…”