Performance evaluation and ranking of CMIP6 global climate models over Vietnam

Abstract This study comprehensively assesses the performance of 29 Coupled Model Intercomparison Project Phase 6 (CMIP6) Global Climate Models (GCMs) and their ensemble mean (ENS_MEAN) over Vietnam. The spatiotemporal variability near-surface temperature precipitation is thoroughly evaluated for 30-year historical period 1985–2014. Results show that models can reasonably reproduce observational annual cycles spatial distribution precipitation, though performances vary across seven climatic sub-regions Due to coarse resolutions, produce warm biases certain highland mountainous areas, many them cannot rainy season shift from summer in most toward end year Central Finally, these results are summarized, a score assigned each model, inferring ranking. top three EC-Earth3-Veg, EC-Earth3, HadGEM3-GC31-MM. Although created by simply averaging all models, ENS_MEAN compete with best GCMs ranks 4th overall. In same model family, higher-resolution experiment exhibits higher ranking than lower-resolution one. this provide reference choice appropriate CMIP6 upcoming downscaling activities