大气气溶胶对华南与华北暖季降水影响的区域差异OA
Regional differences in the impacts of atmospheric aerosols on warm-season precipitation in South and North China
中国东部地区气溶胶污染与暖季降水时空分布复杂,二者相互作用具有显著区域差异,其统计特征及物理机制仍存在不确定性.基于ERA5和MERRA-2再分析资料,分析了2004-2024年4-8月华南和华北降水量、降水频率与气溶胶光学厚度的时空变化特征及其相关关系.结果表明:降水量呈现"南多北少",且以弱降水事件为主,而气溶胶光学厚度表现为"北高南低";华南(华北)地区气溶胶与降水相关量呈负(正)相关关系;两地降水频率对气溶胶变化的响应更为显著.多元回归分析表明,在控制垂直速度、比湿、温度后,气溶胶仍对两个区域降水量具有不同程度的影响.云-地耦合(即边界层能否有效地向云内输送气溶胶等)分析显示,在高气溶胶负荷下,华南倾向增强解耦状态并抑制降水频率,而华北则趋向耦合态并促进降水发生,与相关性分析结果一致.因此,受背景条件与边界层结构的共同制约,气溶胶对华南和华北降水的影响存在显著差异.本研究有助于深化气溶胶与降水相互作用的认识,为理解气溶胶对区域水循环及气候变化的影响提供了科学依据.
Aerosol-precipitation interactions remain a major source of uncertainty in regional climate studies,par-ticularly over eastern China,where strong anthropogenic emissions coexist with monsoon circulation.Understanding regional differences in these interactions is essential for clarifying regional water cycle processes and improving climate projections.Based on ERA5 and MERRA-2 reanalysis datasets,this study investigates the spatiotemporal variations in precipitation amount and frequency and their statistical relationships with aerosol opti-cal depth(AOD)over South China and North China during the warm season(April-August)from 2004 to 2024. The results reveal a pronounced spatial contrast in both precipitation and AOD distributions.Precipitation ex-hibits a"more in the south,less in the north"pattern,with South China characterized by frequent and persistent light precipitation,while North China experiences substantially lower total precipitation.In contrast,AOD shows a"higher in the north,lower in the south"distribution.This opposing spatial structure provides a fundamental back-ground for distinct aerosol-precipitation relationships in the two regions.Statistical analyses show that aerosols are negatively correlated with both precipitation amount and frequency in South China,but positively correlated in North China.Compared with precipitation amount,precipitation frequency shows a stronger and more robust re-sponse to AOD,indicating that aerosols primarily influence the occurrence probability of precipitation. Multiple linear regression analysis further demonstrates that,after controlling for vertical velocity,specific humidity,and temperature,aerosols contribute independently to precipitation variability.The additional explained variance is approximately 2.0%in South China and 1.0%in North China,suggesting a stronger aerosol influen-ceunder more humid conditions.To further elucidate the underlying mechanisms,the cloud-surface coupling is ex-amined using a decoupling index.South China is generally characterized by a coupled cloud-surface state,in which the cloud base is close to the boundary layer top.Under high aerosol loading,the decoupling index increa-ses,indicating a transition toward a decoupled state.This shift weakens the vertical transport of moisture and aero-sols from the surface to clouds,thereby suppressing precipitation frequency.In contrast,North China is dominated by a decoupled background state.Increasing aerosol loading is associated with a decrease in the decoupling index,implying enhanced coupling.This adjustment shortens the vertical transport pathway and may facilitate convective initiation,leading to increased precipitation occurrence. Overall,aerosol impacts on precipitation exhibit strong spatial heterogeneity and are jointly modulated by moisture availability and boundary layer structure.These findings highlight the importance of considering cloud-surface coupling when interpreting aerosol-precipitation relationships.Nevertheless,uncertainties remain due to limitations in reanalysis datasets in representing aerosol vertical distributions and cloud microphysical processes.Future studies should incorporate high-resolution observations and cloud-resolving simulations to further elucidate the physical mechanisms of aerosol-precipitation interactions.
宋瑞钰;朱彬;陆春松
南京信息工程大学 气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心,江苏 南京 210044||南京信息工程大学 中国气象局气溶胶-云-降水重点开放实验室,江苏 南京 210044南京信息工程大学 气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心,江苏 南京 210044||南京信息工程大学 中国气象局气溶胶-云-降水重点开放实验室,江苏 南京 210044南京信息工程大学 气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心,江苏 南京 210044||南京信息工程大学 中国气象局气溶胶-云-降水重点开放实验室,江苏 南京 210044
气溶胶降水频率多元回归区域差异云-地耦合
aerosolprecipitation frequencymultiple regressionregional differencescloud-surface coupling
《大气科学学报》 2026 (5)
782-794,13
国家自然科学基金项目(42192512)
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