Earthquakes as a potential contributing factor to climate change at multi-decadal scale

Climate changes at the multi-decadal scale are often associated with multi-decadal phase shifts of the dominant sea surface temperature （SST） pattern, such as the Pacific Decadal Oscillation （PDO）. The PDO may be associated with the North Pacific branch of the Thermohaline Circulation （THC）. Great earthquakes （M 〉8）, particularly along the route of the THC, might modulate the vertical mixing and bring deep, cold water to surface, contributing to multi-decadal changes in surface currents and the PDO. This may eventually lead to multi-decadal climate changes. We tested this hypothesis for the Pacific Ocean where great earthquakes have been frequently recorded. We found associations between the PDO and recurrent earthquakes along the route of the deep currents of the THC in the modern period since 1900, and relationships between hydroclimate change in Monsoonal Asia and historical earthquakes since 1300. However, it should be noted that this hypothesis is very preliminary and has many gaps that needs further evidences from more observational records and modeling studies.     

中国夏季和冬季极端干旱年代际变化及成因分析

依据1961～2009年中国区域540个气象站的夏、冬季气温和降水数据,首先采用气候变化趋势转折判别模型（简称PLFIM）分析了中国区域8个分区夏、冬季气温和降水的年代际变化,而后利用PDSI干旱指数研究了夏、冬季极端干旱在年代际尺度上的时空变化特征及其成因。结果表明:1961～2009年中国夏季极端干旱发生率北方大于南方,冬季则为在东部多而在西部少。夏季和冬季极端干旱发生概率在最后一次年代际转折后都呈增加趋势。在区域尺度上,夏季东北、华北和西北地区增加明显,冬季东北、华北、华南、西南地区增加显著。其中,降水在20世纪90年代以前的极端干旱变化中起主导作用,而后由于气候变暖所引起的极端干旱增加趋势逐渐增大,与降水变化的作用相互叠加。     

参加CMIP5的四个中国气候模式模拟的东亚冬季风年际变率

本文比较了中国参加“国际耦合模式比较计划”（CMIP5）的四个大气环流模式（即FGOALS-g2、FGOALS-s2、BCC-CSM1-1、BNU-ESM大气模式）在观测海温驱动下,对东亚冬季风（EAWM）气候态和年际变率的模拟能力。结果表明,在气候态上,四个模式均合理再现了EAWM高低层环流系统（包括低层西伯利亚高压（SH）、阿留申低压、异常偏北风、和中高层东亚大槽、西风急流）,其中对2 m气温和500 hPa高度场的模拟技巧最高,四个模式模拟的结果与再分析资料的空间相关系数都达到0.99。在年际变率上,分别对东亚北部地区（30°N～60°N,100°E～140°E）和东亚南部地区（0°～30°N,100°E～140°E）的2 m气温进行经验正交函数分解（EOF）,提取变率主导模态。结果表明,在东亚北部地区,四个模式对2 m气温第一模态（简称“北部型”）的空间分布均有很高的模拟技巧,但只有BNU-ESM能够较好再现其对应的年际变率,其模拟的时间序列与观测的相关系数为0.69。四个模式均能模拟出观测中的3.1 a主导周期,但只有FGOALS-s2和BNU-ESM能模拟出观测中的2.5 a主导周期。在东亚南部地区,模式模拟的前两个主模态共同解释观测中第一模态（简称“南部型”）的特征,其中FGOALS-g2、FGOALS-s2和BNU-ESM的综合模拟技巧较高,但只有BNU-ESM成功再现了观测中2.5 a和3.1 a的主导周期。机理分析表明,FGOALS-g2、FGOALS-s2、BNU-ESM三个模式能合理再现菲律宾海反气旋,同时对南部型有较高的模拟能力,而BCC-CSM1-1则未能有效再现菲律宾海反气旋,使得 BCC-CSM1-1对南部型模拟技巧较低。观测和四个模式模拟的结果一致表现出北极涛动（AO）与北部型PC1呈显著相关,影响大于SH。     

Variability of tropical cyclone in high frequent occurrence regions over the western North Pacific

In this study, three high frequent occurrence regions of tropical cyclones(TCs), i.e., the northern South China Sea(the region S), the south Philippine Sea(the region P) and the region east of Taiwan Island(the region E), are defined with frequency of TC's occurrence at each grid for a 45-year period(1965–2009), where the frequency of occurrence(FO) of TCs is triple the mean value of the whole western North Pacific. Over the region S, there are decreasing trends in the FO of TCs, the number of TCs' tracks going though this region and the number of TCs' genesis in this region. Over the region P, the FO and tracks demonstrate decadal variation with periods of 10–12 year, while over the region E, a significant 4–5 years' oscillation appears in both FO and tracks. It is demonstrated that the differences of TCs' variation in these three different regions are mainly caused by the variation of the Western Pacific Subtropical High(WPSH) at different time scales. The westward shift of WPSH is responsible for the northwesterly anomaly over the region S which inhibits westward TC movement into the region S. On the decadal timescale, the WPSH stretches northwestward because of the anomalous anticyclone over the northwestern part of the region P, and steers more TCs reaching the region P in the greater FO years of the region P. The retreating of the WPSH on the interannual time scale is the main reason for the FO's oscillation over the region E.     

Effect of Decadal Changes in Air-Sea Interaction on the Climate Mean State over the Tropical Pacific

Collaboration of interannual variabilities and the climate mean state determines the type of E1 Nifio. Recent studies highlight the impact of a La Nifia-like mean state change, which acts to suppress the convection and low-level convergence over the central Pacific, on the predominance of central Pacific （CP） E1 Nifio in the most recent decade. However, how interannual variabilities affect the climate mean state has been less thoroughly investigated. Using a linear shallow-water model, the ef- fect of decadal changes of air-sea interaction on the two types of El Nifio and the climate mean state over the tropical Pacific is examined. It is demonstrated that the predominance of the eastem Pacific （EP） and CP E1 Nino is dominated mainly by relationships between anomalous wind stresses and sea surface temperature （SST）. Furthermore, changes between air-sea interactions from 1980-98 to 1999-2011 prompted the generation of the La Ninalike pattern, which is similar to the background change in the most recent decade.     

The Second Decadal Leading Mode of East Asian Summer Monsoon Rainfall

The first decadal leading mode of East Asian summer rainfall （EASR） is characterized by rainfall anomalies along the East Asian subtropical rain belt. This study focuses on the second decadal leading mode （2DLM）, accounting for 17.3% of rainfall decadal vari- ance, as distinct from the other two neighboring modes of EAMR, based on the state-of-the-art in-situ rainfall data. This mode is characterized by a South-China-wet-Huaihe- River-dry pattern, and is dominated by a quasi-30-yr pe- riod. Further analysis reveals the 2DLM corresponds to an enhanced lower-level monsoon jet, an eastward extension of the western North Pacific subtropical high, and a weakened East Asian upper-level westerly jet flow. The Tibetan Plateau surface temperature and Pacific Decadal Oscillation （PDO） are closely linked with the 2DLM. The regressed SST pattern indicates the PDO-like pattern of sea surface temperature anomalies may have a telecon- nection relationship with the 2DLM of EASR.     

西太平洋富钴结壳超微化石与分子化石地层划分及对比

对具典型三层构造的西太平洋海山群富钴结壳样品进行了钙质超微化石地层学研究,获取了富钴结壳从内层致密层、中间疏松层到外层较致密层的生长时代:CM1D03为晚古新世-早始新世、始新世中期、中中新世-更新世;CM3D06分为晚古新世-早始新世、中始新世-晚中新世、上新世-更新世。对富钴结壳壳层的甾烷系列分子(C27、C28、C29)进行了检测并计算了相对含量,结果表明,两块富钴结壳的甾烷分布构型在结壳生长时代上具有一致性:晚古新世-早始新世,呈反"L"型分布;中始新世呈C27优势的"V"型分布;中新世-更新世呈C29优势的"V"型分布。甾烷分布构型的变化与古海洋环境演化造成的海底甾烷输入波动有关,具有一定的时代特征钙质超微化石和分子化石地层学划分方法在富钴结壳层主要生长时代及生长间断的界定上具有一致性,可以用于富钴结壳的地层划分和对比。     

基于Argo观测的太平洋温、盐度分布与变化(Ⅰ):温度

利用基于客观分析方法重构的Argo网格资料(未同化其他观测资料),分析探讨了2004年1月-2011年12月期间太平洋海域(60°S-60°N、120°E-80°W)温度气候态分布特征与变化规律。结果表明,在西太平洋赤道附近海域,29℃等温线的包络范围(暖池),夏季显著增大,位置也明显偏北,且其厚度仅限于约100 m上层;在亚热带海域次表层(约150 m),形成南北两个高温(南部大于27℃,北部大于24℃)中心,呈马鞍形分布,但并不以赤道为对称中心,而是偏向北半球8个纬度;在南、北纬40°附近海域,等温线十分密集,形成"极锋";在新西兰东南海域存在低温水舌由南向北的入侵现象,从表层至1 000 m深层始终可见,似是终年存在的一个水文特征。温度的年变化规律表层最明显,每年呈一高一低的分布趋势,亚热带海域尤为显著,北半球温度年较差大于9.5℃,南半球约为6.0℃,且北半球的最高、最低温度值分别出现在每年的8月份和2月份,南半球则相反。表层以下,温度的周期性变化远不如表层明显,至500 m中层,整个太平洋海域的温度最大变幅仅为1.0℃。赤道海域表层温度明显存在3年的周期性年际振荡,北亚热带表层也表现为3-6个月的周期性年际变化,中层年际振荡较缓,振幅也较小,而亚南极海域从表层直至500 m中层,均存在不规则年际振荡。     

Variability of Atlantic Meridional Overturning Circulation in FGOALS-g2简

The variability of Atlantic Meridional Overturning Circulation （AMOC） in the pre-industrial control experiment of the Flexible Global Ocean-Atmosphere-Land System model, Grid-point Version 2 （FGOALS-g2） was investigated using the model outputs with the most stable state in a 512-yr time window from the total 1500-yr period of the experiment. The period of AMOC in FGOALS-g2 is double peaked at 20 and 32 years according to the power spectrum, and 22 years according to an auto-correlation analysis, which shows very obvious decadal variability. Like many other coupled climate models, the decadal variability of AMOC in FGOALS-g2 is closely related to the convection that occurs in the Labrador Sea region. Deep convection in the Labrador Sea in FGOALS-g2 leads the AMOC maximum by 3-4 years. The contributions of thermal and haline effects to the variability of the convection in three different regions [the Labrador, Irminger and Greenland-Iceland- Norwegian （GIN） Seas] were analyzed for FGOALS-g2. The variability of convection in the Labrador and Irminger Seas is thermally dominant, while that in the colder GIN Seas can be mainly attributed to salinity changes due to the lower thermal expansion. By comparing the simulation results from FGOALS-g2 and 11 other models, it was found that AMOC variability can be attributed to salinity changes for longer periods （longer than 35 years） and to temperature changes for shorter periods.     

The Interdecadal Changes of South Pacific Sea Surface Temperature in the Mid-1990s and Their Connections with ENSO简

The characteristic changes of South Pacific sea surface temperature anomalies （SSTAs） for the period January 1979 to December 2011, during which the 1990s Pacific pan-decadal variability （PDV） interdecadal regime shifts occurred, were examined. Empirical Orthogonal Function （EOF） analysis was applied to the monthly mean SSTA for two sub-periods： January 1979 to December 1994 （P 1） and January 1996 to December 2011 （P2）. Both the spatial and temporal features of the leading EOF mode for P1 and P2 showed a remarkable difference. The spatial structure of the leading EOF changed from a tripolar pattern for P 1 （EOF-P 1） to a dipole-like pattern for P2 （EOF-P2）. Besides, EOF-P 1 （EOF-P2） had significant spectral peaks at 4.6 yr （2.7 yr）. EOF-P2 not only had a closer association with E1 Nifio-Southern Oscillation （ENSO）, but also showed a faster response to ENSO than EOF-P1 based on their lead-lag relationships with ENSO. During the development of ENSO, the South Pacific SSTA associated with ENSO for both PI and P2 showed a significant eastward propagation. However, after the peak of ENSO, EOF-P1 showed a stronger persistence than EOF-P2, which still showed eastward propagation. The variability of the SSTA associated with the whole process of ENSO evolution during P1 and the SSTA associated with the development of ENSO during P2 support the existence of ocean-to-atmosphere forcing, but the SSTA associated with the decay of ENSO shows the phenomenon of atmosphere-to-ocean forcing.