上扬子台地西缘峨眉地区三叠纪高频层序与海平面振荡研究

通过精细露头层序地层学的研究，将三叠纪标定了二级层序２个，三级层序９个。提出并厘定了层序旋回的等级系列：一级（２００—４００Ｍａ），二级（１０—１００Ｍａ），三级（１—１０Ｍａ），四级（０．１—０．２Ｍａ），五级（０．２—０．０５Ｍａ）和六级（±０．０２Ｍａ）层序旋回。将三叠纪盆地划分为被动边缘（Ｔ１＋２）和前陆盆地（Ｔ３）阶段。进一步标定了古构造沉降对有效容纳空间及层序形成的贡献。提出并规范了高频层序的内涵本质及其划分方案。建立并标定了不同物质背景之下的高频层序四种鉴定类型：三角洲河口坝或滨岸旋回序列型；波痕指数垂向有序变化型；厚层灰岩或白云岩与薄层灰岩或白云岩有序叠置偶合型和砂屑灰岩与砂、泥岩层偶型。高频层序行为堆叠样式及其所携带的信息可深刻地揭示三级层序的内部构架，提高地层对比精度。为建立高分辨率层序地层学和定量编制全球海平面变化曲线奠定了基础。

雅鲁藏布中新生代深水沉积盆地形成和演化(Ⅱ)——喜马拉雅碳酸盐台地动力演化

喜马拉雅地区的碳酸盐台地产生、发展和消亡与特提斯造山带形成的动力演化息息相关。三叠纪时,碳酸盐台地较稳定地在聂拉木陆架边缘发展起来,主要受陆源碎屑强烈干扰,碳酸盐台地在其生长面附近发育。早、中侏罗世,碳酸盐台地受构造沉降和海平面变化强烈影响,从潮下低能带向高能变浅的镶边台地旋回性发展。在台地边缘斜坡—盆地中发育一套特殊的碳酸盐“喷溢流”沉积。晚侏罗世,碳酸盐台地受被动大陆边缘初期快速热沉降影响,被黑色页岩覆盖,台地被淹没死亡。早白垩世,陆架边缘台地可能以孤立台地为特征,相当多的碳酸盐台地碎裂或崩塌,靠大陆一侧则主要为末端变陡缓坡。晚白垩世开始,碳酸盐台地主要在岗巴一带发育,发育向上变深的沉积序列,为受前陆挠曲影响产物。第三纪初,碳酸盐台地主要为缓坡,属于前陆盆地远离造山带一侧的碳酸盐台地沉积。喜马拉雅碳酸盐台地的最终消亡是由于造山抬升暴露。

碳酸盐岩旋回沉积的形成机制

为了更好地理解碳酸盐岩旋回沉积的形成机制，计算机模拟可谓是一种既直观又定量的好方法。我们重点选择了与沉积相有关的五个重要参数：（１）与水深相关的沉积速率；（２）时滞（Ｌａｇｔｉｍｅ）；（３）盆地线性沉降速率；（４）潮差；（５）海平面振荡幅度与周期等。由于碳酸盐岩沉积物对海平面变化非常敏感，因此研究中特别注意了海平面振荡幅度与周期的变化对碳酸盐岩旋回沉积的控制和影响。一个几米厚的潮坪旋回层序通常是由海平面的低幅振荡形成的，振荡幅度也就是几米，时滞亦较短。当海平面振荡幅度较大时，在海平面下降期间，滨线向海迁移的速率会超过潮坪的侧向加积速率，因此在内陆棚上缺乏潮坪沉积物。海平面振荡幅度的增加也能造成海平面下降快于潮坪的沉降，滨线向海迁移速率比潮坪进积的速率要快得多，从而在旋回层序内发育较厚的渗流带以及不整合界面。

Teleconnection between Winter Arctic Oscillation and Southeast Asian Summer Monsoon in the Pre-Industry Simulation of a Coupled Climate Model

A 600-year pre-industrial simulation with Bergen Climate Model(BCM)Version 2 is used to investigate the linkage between winter Arctic Oscillation(AO)and the Southeast Asian summer monsoon(SEASM)on the inter-decadal timescale.The results indicate an in-phase relationship between the AO and SEASM with periods of approximately 16–32 and 60–80 years.During the positive phase of winter AO,an anomalous surface anti-cyclonic atmosphere circulation appears over North Pacific in winter.The corresponding anomalies in ocean circulation and surface heat flux,particularly the latent and sensible heat flux,resemble a negative Pacific Decadal Oscillation(PDO)-like sea surface temperature(SST)pattern.The AO-associated PDO-like winter SST can persist into summer and can therefore lead to inter-decadal variability of summer monsoon rainfall in East and Southeast Asia.

A New Method for Predicting the Decadal Component of Global SST

A simple approach that considers both internal decadal variability and the effect of anthropogenic forcing is developed to predict the decadal components of global sea surface temperatures (SSTs) for the three decades 2011-2040. The internal decadal component is derived by harmonic wave expansion analyses based on the quasiperiodic evolution of the Pacific Decadal Oscillation (PDO) and the Atlantic Multidecadal Oscillation (AMO), as obtained from observational SST datasets. Furthermore, the external decadal component induced by anthropogenic forcing is assessed with a second-order fit based on the ensemble of projected SSTs in the experiments with multiple coupled climate models associated with the third Coupled Model Intercomparison Project (CMIP3) under the Intergovernmental Panels on Climate Change (IPCC) Special Reports on Emissions Scenario (SRES) A1B. A validation for the years from 2002 to 2010 based on a comparison of the predicted and the observed SST and their spatial correlation, as well as the root mean square error (RMSE), suggests that the approach is reasonable overall. In addition, the predicted results over the 50°S-50°N global band, the Indian Ocean, the western Pacific Ocean, the tropical eastern Pacific Ocean, and the North and the South Atlantic Ocean are presented.

Connection of sea level variability between the tropical western Pacific and the southern Indian Ocean during recent two decades

Based on the merged satellite altimeter data and in-situ observations, as well as a diagnosis of linear baroclinic Rossby wave solutions, this study analyzed the rapidly rise of sea level/sea surface height （SSH） in the tropical Pacific and Indian Oceans during recent two decades. Results show that the sea level rise signals in the tropical west Pacific and the southeast Indian Ocean are closely linked to each other through the pathways of oceanic waveguide within the Indonesian Seas in the form of thermocline adjustment. The sea level changes in the southeast Indian Ocean are strongly influenced by the low-frequency westward-propagating waves originated in the tropical Pacific, whereas those in the southwest Indian Ocean respond mainly to the local wind forcing. Analyses of the lead-lag correlation further reveal the different origins of interannual and interdecadal variabilities in the tropical Pacific. The interannual wave signals are dominated by the wind variability along the equatorial Pa- cific, which is associated with the El Nifio-Southern Oscillation; whereas the interdecadal signals are driven mainly by the wind curl off the equatorial Pacific, which is closely related to the Pacific Decadal Oscillation.