降水
环境科学
气候学
耦合模型比对项目
强度(物理)
大气科学
气象学
降水类型
定量降水预报
雨季
预测技巧
热带
季节性
大气模式
震级(天文学)
大气环流模式
系综平均
作者
Nan Gao,Liwei Huo,Ji Wang,Xiaoxiao Zhang,Tiejun Xie,Jing‐Jia Luo
摘要
ABSTRACT Using daily gridded precipitation data from CN05.1 (1961–2014) and 14 high‐resolution CMIP6 (Coupled Model Intercomparison Project Phase 6) historical simulations, this study examines spatiotemporal variations in summer precipitation days across intensity levels in the Beijing–Tianjin–Hebei (BTH) region and evaluates the CMIP6 models' simulation performance. The results indicate that: (1) strong precipitation seasonality, with summer (June–August) accounting for most rainfall (light rain dominates: 50.35% of precipitation, 88.43% of rainy days), decreases from southeast to northwest; (2) light rain days show ‘decreasing–increasing’ patterns, moderate rain exhibits ‘increasing‐decreasing’ trends with reduced intensity, while heavy‐to‐torrential rain generally declines. Spatially, light rain days show marked regional variations across time periods, moderate rain days display a regional ‘increasing–decreasing’ pattern, and heavy‐to‐torrential rain days remain relatively stable. (3) CMIP6 models exhibit differences in simulating precipitation days and intensity across different levels in the BTH region. CMIP6 evaluation reveals EC‐Earth3 and EC‐Earth3‐Veg perform best across intensities. Most CMIP6 models accurately simulate moderate rain days but perform poorer for light and heavy‐to‐torrential rain. However, the best‐performing models' ensemble mean for heavy‐to‐torrential rain shows superior spatial agreement with observations. The multi‐model ensemble mean shows biases: overestimating precipitation amounts while underestimating total and light rain days and overestimating moderate and heavy‐to‐torrential rain days.
科研通智能强力驱动
Strongly Powered by AbleSci AI