利用ECMWF最新发布的Interim再分析资料,计算了东亚季风区Hadley环流质量流函数,并使用EOF分解、相关分析及合成分析等统计方法,分析了夏季东亚季风区Hadley环流上升支结构的异常特征及其对我国长江流域降水的影响。发现夏季东亚季风区Hadley环流上升支具有独特的双上升中心结构,两上升中心的位置分别对应东亚夏季风系统中的两条辐合带——热带季风槽及梅雨锋。上升支的主要异常模态表现为两个上升中心"跷跷板"型的反相异常。与梅雨锋对应的副热带上升中心强度与长江流域降水呈正相关关系,即当其偏强时,长江流域降水偏多,反之亦然。副热带支偏强时,低层西太平洋副热带高压偏南导致气流在长江流域异常辐合,其异常西南风水汽输送使得长江流域有异常水汽辐合,高层气流在长江流域异常辐散。同时鄂霍次克海附近阻塞活动偏强,东亚沿海地区500 h Pa高度场出现"+-+"的经向异常型。这些异常型均有利于长江流域的降水。
The consistency of global atmospheric mass and water budget performance in 20 state-of-the-art ocean-atmosphere Coupled Model Intercomparison Project Phase 5(CMIP5) coupled models has been assessed in a historical experiment. All the models realistically reproduce a climatological annual mean of global air mass(AM) close to the ERA-Interim AM during 1989-2005. Surprisingly, the global AM in half of the models shows nearly no seasonal variation,which does not agree with the seasonal processes of global precipitable water or water vapor, given the mass conservation constraint. To better understand the inconsistencies, we evaluated the seasonal cycles of global AM tendency and water vapor source(evaporation minus precipitation). The results suggest that the inconsistencies result from the poor balance between global AM tendency and water vapor source based on the global AM budget equation. Moreover, the cross-equatorial dry air mass flux, or hemispheric dry mass divergence, is not well represented in any of the 20 CMIP5 models, which show a poorly matched seasonal cycle and notably larger amplitude, compared with the hemispheric tendencies of dry AM in both the Northern Hemisphere and Southern Hemisphere. Pronounced erroneous estimations of tropical precipitation also occur in these models. We speculate that the large inaccuracy of precipitation and possibly evaporation in the tropics is one of the key factors for the inconsistent cross-equatorial mass flux. A reasonable cross-equatorial mass flux in well-balanced hemispheric air mass and moisture budgets remains a challenge for both reanalysis assimilation systems and climate modeling.