Variability of the Intertropical Convergence Zone recorded in coral isotopic records from the central Indian Ocean (Chagos Archipelago)

We have analyzed the stable oxygen isotopic composition of two Porites corals from the Chagos Archipelago, which is situated in the geographical center of the Indian Ocean. Coral δ¹⁸O at this site reliably records temporal variations in precipitation associated with the Intertropical Convergence Zone (ITCZ). Precipitation maxima occur in boreal winter, when the ITCZ forms a narrow band across the Indian Ocean. The Chagos then lies within the center of the ITCZ, and rainfall is strongly depleted in δ¹⁸O. A 120-yr coral isotopic record indicates an alternation of wet and dry intervals lasting 15 to 20 yr. The most recent 2 decades are dominated by interannual variability, which is tightly coupled to the El Niño-Southern Oscillation (ENSO). This is unprecedented in the 120 yr of coral record. As the ITCZ is governed by atmospheric dynamics, this provides evidence of a major change in the coupled ENSO-monsoon system.     

孟湾槽在百色市异常降雪天气中的作用

通过对1983年12月28日、2002年12月26日百色市两次异常降雪天气过程的对比分析,发现冬季孟加拉湾槽的发展东移在其中起到了关键性的作用。由于孟加拉湾槽前暖湿气流强盛,这种强盛的西南暖湿气流在低空冷空气堆(冷锋)上发生强烈的系统性上升运动,从而导致百色市及其邻近地区出现异常的雨雪天气。     

Radiative Feedbacks and Monsoon Circulations: A View from Simplified Models

The modulation of radiative processes by changes in water vapor and cloudiness is at the origin of important feedbacks which control climate variability as well as climate changes. These feedbacks are especially active in the intertropical area, where it is possible to diagnose a combination of partially compensating positive and negative feedbacks. The characteristics and the strength of those feedbacks is closely associated with the dynamical regimes in which they develop. Reverse changes in dynamical patterns may cause a modulation of the radiative processes. A first approach to these problems is to distinguish between two ascending and subsiding circulation patterns. This bimodality of the circulation is well established in the tropical area, and favors the use of simplified models as an appropriate tool to carry out a first-order quantification of these processes. In particular, this combination of radiative and dynamical feedbacks characterizes the development of the monsoons and their variability. Simple conceptual models can thus serve to characterize some of the factors which will affect the intraseasonal variations of the monsoon.     

强厄尔尼诺事件下2016年1月中国南方超级寒潮的动力学机制:瞬变波对大气长波异常的调制

本文采用Plumb三维波活动通量和局地Eliassen-Palm通量诊断方法,利用欧洲中期天气预报中心的逐日再分析资料ERA-Interim,分析了超强厄尔尼诺背景下2016年1月下旬中国南方超级寒潮的动力学机制：瞬变波对大气长波异常的调制。前期2015年12月的北大西洋海表热通量正异常,有助于后期大西洋阻塞形势的维持。大气长波能量沿大圆路径从大西洋阻高经乌拉尔地区向东亚中低纬度传播并在此辐合,导致了乌拉尔阻高和华北横槽的经向结构,更多强冷空气聚集在异常偏南的纬向槽线附近。寒潮爆发前夕,2支瞬变波列活跃在亚欧大陆。北支瞬变波列调制了北方的大气长波,使横槽转竖;南支瞬变波列协同调控了南方的大气长波,使南支印缅槽减弱;两者共同作用,促使冷平流大举南下,直达华南沿海,南方寒潮发生。     

高原季风特征及其与东亚夏季风关系的研究

利用ERA-Interim的位势高度场、温度场和风场再分析资料,计算了1988-2017年的传统高原季风指数(Trational Plateau Monsoon Index,TPMI)和动态高原季风指数(Dynamic Plateau Monsoon Index,DPMI),分析了高原季风的空间分布特征和时间演变规律,结合东亚夏季风指数(East Asian Summer Monsoon Index,EASMI),探讨了高原季风与东亚季风的关系。研究表明:(1)高原夏季风从4月开始形成,暖性低值系统在高原上生成;6月暖性低压系统中心形成并达到最强,此时高原夏季风强度也达到最大;10月暖性闭合低压系统向东北方向移动且强度也随之减弱并退出,高原夏季风结束。(2)DPMI和EASMI具有明显的年际变化特征,在关键年高原夏季风和东亚夏季风的强度表现一致。(3)中纬度受东亚季风所影响区域的位势高度场和青藏高原区域的位势高度场均处于同一正相关区域,而且超前两个月的DPMI同EASMI的相关系数最大,表明高原夏季风对东亚夏季风具有一定的指示意义。(4)东亚夏季风经圈环流受高原温度场变化的影响而移动,高原夏季风的低压系统与高原温度场关系密切。     

东海冲绳海槽陆坡天然气水合物的地震学研究

本文通过对东海973 航次在冲绳海槽取得的多道地震数据进行有针对性的特殊处理,形成一套针对天然气水合物地震学研究行之有效的处理思路,提高速度分析的精度和分辨能力,压制浅层多次波,资料在保持一定信噪比的基础上尽可能的提高分辨率,相对振幅处理以及用于AVO分析的预处理等.在此基础上对天然气水合物进行识别和预测,我们发现在冲绳海槽南部西侧槽坡附近以及海槽内部发育有一系列泥底辟构造,在这些底辟构造的顶部明显存在与天然气水合物赋存相关的地球物理特征,如似海底反射层（BSR）、与海底反射同相轴极性相反,BSR上方的振幅空白区以及BSR上下的速度异常.从该区域的地质背景资料分析,冲绳海槽不仅具有很高的沉积速率并且海槽西侧的断层活跃,提供了富含有机质的物源以及用于天然气运移的通道,有利于天然气水合物的形成.     

Extensive Cold-Precipitation-Freezing Events in Southern China and Their Circulation Characteristics

Concurrence of low temperature,precipitation and freezing weather in an extensive area would cause devastating impacts on local economy and society.We call such a combination of concurrent disastrous weather“extensive coldprecipitation-freezing”events(ECPFEs).In this study,the ECPFEs in southern China(15°?35°N,102°?123°E)are objectively defined by using daily surface observational data for the period 1951?2013.An ECPFE in southern China is defined if the low temperature area,precipitation area and freezing area concurrently exceed their respective thresholds for at least three consecutive days.The identified ECPFEs are shown to be reasonable and reliable,compared with those in previous studies.The circulation anomalies in ECPFEs are characterized by a large-scale tilted ridge and trough pairing over mid-and high-latitude Eurasia,and the intensified subtropical westerlies along the southern foot of the Tibetan Plateau and the anomalous anticyclonic circulation over the subtropical western Pacific.Comparative analysis reveals that the stable cold air from the north and the warm and moist air from the south converge,facilitating a favorable environment for the concurrence of extensive low-temperature,precipitation and freezing weather.     

辽东湾北部地区走滑构造特征与油气富集规律

辽东湾北部地区右行走滑构造特征较为典型,主要表现为:沿走滑断裂带发育雁行式伸展断裂;剖面上发育花状构造;走滑断裂沿走向呈“S”型或反“S”型波状弯曲;沿走滑断裂带断槽与断鼻构造相间分布。分析认为,渐新世晚期,辽东湾北部地区南北向拉张、东西向挤压的区域应力场控制了右行走滑构造的形成,断槽与断鼻构造相间分布是由于沿走滑断裂带局部应力场性质发生改变所致。右行走滑断裂的“S”型弯曲部位为增压弯部位,走滑断裂两侧断块在此汇聚,地层因应力集中而形成断鼻构造;右行走滑断裂的反“S”型弯曲部位为释拉张部位,走滑断裂两侧断块在此离散,地层因拉张而发生断陷形成断槽。受走滑构造所控制,油气沿走滑断层自断槽向断鼻方向运移、聚集而成藏。研究走滑构造发育特征,对于预测圈闭分布以和研究油气富集规律具有重要意义。     

基于GIS与地理探测器的岩溶槽谷石漠化空间分布及驱动因素分析

岩溶区土地石漠化已成为中国西部继沙漠化和水土流失后的第三大生态问题,近年来岩溶槽谷区石漠化表现出增加趋势。通过获取槽谷区石漠化、岩性、坡度、海拔、降雨量、土地利用、人口密度和第一产业生产总值等数据,利用GIS空间分析功能和地理探测器模型,探讨了岩溶槽谷区石漠化空间分布特征及驱动因子。主要结论为：① 岩溶槽谷区总石漠化面积为21323.7 km ²,占研究区土地面积的8.3%,其中轻度、中度和重度石漠化面积分别是11894.8 km ²、8615.8 km ²和813.1 km ²,分别占石漠化面积的55.8%、40.4%和3.8%;② 从石漠化的空间分布来看,槽谷区石漠化主要发生在连续性灰岩中,轻度、中度和重度石漠化面积分别为占槽谷区相应石漠化类型面积的22.1%、22.4%和1.9%;槽谷区石漠化主要发生在15°~25°的坡度范围,轻度、中度和重度石漠化面积分别为占槽谷区相应石漠化类型面积的27.1%、18.2%和2.3%;从海拔来看,主要分布于400~800 m范围内,轻度、中度和重度石漠化面积分别为占槽谷区相应石漠化类型面积的24.9%、18.4%和0.2%;从土地利用类型来看,主要发生于山地旱地中;从人口密度来看,集中分布于100~200人/km ²中;从第一产业生产总值来看,集中分布于25亿~50亿元中;③ 地理探测器的因子探测器揭示了岩性（q = 0.58）、土地利用（q = 0.48）和坡度（q = 0.42）3个因子是槽谷区石漠化形成的主要驱动因子,交互式探测器进一步揭示了岩性与土地利用类型（q = 0.85）、坡度与土地利用类型的组合（q = 0.75）共同驱动槽谷区石漠化的形成。