Investigating the mechanisms leading to the deglaciation of past continental northern hemisphere ice sheets with the CLIMBER–GREMLINS coupled model

A coupling procedure between a climate model of intermediate complexity (CLIMBER-2.3) and a 3-dimensional thermo-mechanical ice-sheet model (GREMLINS) has been elaborated. The resulting coupled model describes the evolution of atmosphere, ocean, biosphere, cryosphere and their mutual interactions. It is used to perform several simulations of the Last Deglaciation period to identify the physical mechanisms at the origin of the deglaciation process. Our baseline experiment, forced by insolation and atmospheric CO₂, produces almost complete deglaciation of past northern hemisphere continental ice sheets, although ice remains over the Cordilleran region at the end of the simulation and also in Alaska and Eastern Siberia. Results clearly demonstrate that, in this study, the melting of the North American ice sheet is critically dependent on the deglaciation of Fennoscandia through processes involving switches of the thermohaline circulation from a glacial mode to a modern one and associated warming of the northern hemisphere. A set of sensitivity experiments has been carried out to test the relative importance of both forcing factors and internal processes in the deglaciation mechanism. It appears that the deglaciation is primarily driven by insolation. However, the atmospheric CO₂ modulates the timing of the melting of the Fennoscandian ice sheet, and results relative to Laurentide illustrate the existence of threshold CO₂ values, that can be translated in terms of critical temperature, below which the deglaciation is impeded. Finally, we show that the beginning of the deglaciation process of the Laurentide ice sheet may be influenced by the time at which the shift of the thermohaline circulation from one mode to the other occurs.     

PROPAGATION OF 30—60 DAY LOW FREQUENCY OSCILLATIONS AND THEIR INFLUENCE UPON THE SUBTROPICAL WESTERLIES JET STREAM DURING NORTHERN HEMISPHERE WINTER

Based on daily ECMWF gridpoint data of two winters during 1981—1983 including an ENSOyear,propagation of low frequency oscillations(LFO)during Northern Hemisphere winters andtheir influences upon 30—60 day oscillations of the subtropical jet stream are studied with the sta-tistical methods as complex empirical orthogonal function(CEOF)and so on.Results show that inthe winter of a normal year(1981—1982),30—60 day oscillations in the subtropical zone aremainly in the northern and southern flanks of exit region of jet stream.In the ENSO year(1982—1983),they are mainly in the vicinity of entrance and exit regions of jet stream.Intraseasonalchanges of subtropical jet stream manifested themselves as latitudinal fluctuation or longitudinalprogression or regression of about 40 day period.There are marked differences between propagat-ing passages of low frequency modes responsible for changes of subtropical jet stream in the normalyear(1981—1982)and in the ENSO year(1982—1983).Changes of oscillation amplitude showobvious phases.In general,the one in late winter is stronger than that in early winter,strongestone occurs in February.     

艾比湖地区冰消期以来气候演化的植物学证据

本文根据植物生态学分析方法，通过对艾比湖ＺＫｏｏＢ孔中孢粉组合及植被生态的定量分析，阐述了北疆内陆干旱区冰消期以来的气候演化状况。孢粉组合特征及其植被生态的定量分析研究表明，受大气降水以及大气和土壤中相对湿度波动变化的影响，艾比湖地区的生态环境特征在最近１５０００ａ中至少经历了１０次比较明显的波动变化，并且与全球气候变化过程基本符合，表明中国西部干旱半干旱地区晚更新世以的气候环境演化过程是在全球变     

中国东海2万年来海平面变化分析

拟通过中国东海相对海平面与全球海平面对比分析，来获得东海构造沉降数据。但在对比分析的过程中发现，断裂作用对中国东海150m以深海域相对海平面的变化有重要影响。这种作用使东海150m以深海底至少下降了30m，这是我国学者先前误认为中国东海末次冰盛期最低海面位置位于现今海面下150～160m一带的主要原因。在此基础上，进一步对水与冰川重力均衡、沉积物压实和构造沉降作用进行了探讨。结果认为重力均衡不足、沉积物压实作用微弱，构造沉降是造成东海相对海平面与全球海面之间差异的又一重要原因。同时发现东海构造沉降随水深呈规律性变化。断裂作用的表现结果所赋予的更深层次的思考与认识是，在17kaB．P．以前，中国东海水深150～160m一带是1个相对隆起带，其存在对陆架区圈闭和捕获中国大陆古水系和沉积物具有重要意义。     

Geochemistry and environment evolution of Core E in the Laizhou Bay since last stage of Middle Pleistocene

IwrincrIONOn the evolution of palcoenvironment, salt-water encroachmnt and the distributionof subsurface brine in the LaizhOu Bay area, many researches had been carried out, and muchknowledge abeut the gcolOgical features in this area since Late QUaternary was aCquired' ) (H8nand Wu, l992; Han and Meng, l994; Wen et al. l989). However there was IittIe studyon the sediment geOChemical characteristics since Quaternary. In this Paper, the element strati-graphic characteristics and evolut…     

冲绳海槽中段近4万年来沉积物属性和来源

对冲绳海槽中段DGKS9603孔134个样品(孔深0~481cm),测试了18种常、微量元素,对该柱样的29个样品(孔深0~488cm)进行了REE测试。对采自长江三角洲的CYm柱样和黄河三角洲的S3柱样中的晚更新统的5个样品进行了常、微量元素和REE测试。分析表明,冲绳海槽中段在全新世、末次盛冰期和末次间冰期的沉积物均以陆源物质为主,生物沉积为次。末次盛冰期以陆源硅质碎屑沉积的大量增加为特征;全新世生物沉积量有较大的增加;末次间冰期介于上述两者之间,但较全新世更富陆源物质。冲绳海槽的物源演化受末次冰期的影响,具有阶段性。对比冲绳海槽与长江和黄河物源的地球化学参数,包括REE、稀有元素、惰性常、微量元素,判识出末次盛冰期冲绳海槽的陆源物质,具有长江源的物质属性,沉积物可能主要来自古长江。     

南海东北部末次冰期以来的沉积环境演变

利用南海东北部上陆坡处所取的D孔柱样进行硅藻分析,结合粒度与碎屑矿物分析结果,探讨该海域末次冰期以来沉积环境演变过程.结果表明：粒度与硅藻分析结果较为吻合,共同显示D孔柱样可分为上下两层.上表层（0～2 cm）的砂质沉积层为冰后期海进过程改造的晚更新世残留沉积层,即变余沉积;下层（2～130 cm）主要是末次冰期形成的浅海沉积.整个柱样可反映出海洋同位素MIS 4期海退至MIS 3期海进与MIS 2期海退至冰后期海进的沉积变化韵律.     

盐度和昼夜节律对菲律宾蛤仔摄食率的影响

在实验室条件下，用流水系统测定盐度和昼夜节律对菲律宾蛤仔摄食率的影响。分别对15、20、25、30、35这5个盐度梯度，以及连续24h的00：00、04：00、08：00、12：00、16：00、20：00这6个时间点下菲律宾蛤仔的摄食率进行了测定。结果表明：在15-25的盐度范围内，蛤仔的摄食率随着盐度的升高而增大，在盐度25时达到最大，而在25-35盐度范围内随盐度的增加而减小；在一个昼夜里，蛤仔的摄食率存在显著的差异，夜间的摄食率明显高于白昼，00：00和12：00分别是两个极值；菲律宾蛤仔是一个有着明显昼夜节律性的底栖动物，并且对盐度有一个适应范围，盐度25-30是其最适的盐度。本实验为以后进一步研究菲律宾蛤仔在贝类混养虾池中的作用奠定了基础。     

250kaB.P.以来西太平洋暖池中心区——Ontong Java海台古生产力演化

多年平均表层水温超过28℃的"西太平洋暖池",是全球海平面高度的加热中心和大气三大环流的辐散中心。为评价西太平洋暖池中心区域海洋生物泵的演化特征、规律与机制,本文以位于热带西太平洋暖池核心区——Ontong Java海台的WP7柱状样为材料,通过提取浮游有孔虫^δ13C组成、底栖有孔虫群落和钙质超微化石下透光带属种Florisphaera profunda相对百分含量变化等指标,反演该区250kaB.P.以来的古生产力的演化历史。研究结果表明,250kaB.P.以来西太平洋暖池中心区的古生产力演化与地球轨道变化控制的冰期-间冰期旋回以及岁差控制的太阳辐照率密切相关。在冰期-间冰期尺度上,西太平洋暖池中心区距今250ka以来的生产力变化间冰期明显低于冰期,而且在间冰期阶段生产力相对稳定,冰期波动幅度较大。在冰期或间冰期背景下显著的岁差周期是该区古生产力演化的又一重要特征。而且在岁差波段生物生产力的变化可能领先极地冰体积变化2～4ka左右。热带东西太平洋的古生产力演化在冰期-间冰期变化和岁差尺度上存在ENSO式的变动机制,而且二者互相调谐,产生了似30ka和19ka周期,并出现了"半30ka周期"和半岁差周期。此外,WP7孔Neogloboqudrina dutertrei的^δ13C显示在MIS 1/2,MIS 3/4和MIS 5e/6的冰期向间冰期的过渡期的冰消期阶段存在变轻事件,可能与数千年尺度的大洋环流演化有关。     

Prediction of UT1–UTC,LOD and AAM χ<Subscript>3</Subscript> by combination of least-squares and multivariate stochastic methods

This article presents the application of a multivariate prediction technique for predicting universal time (UT1–UTC), length of day (LOD) and the axial component of atmospheric angular momentum (AAM χ ₃). The multivariate predictions of LOD and UT1–UTC are generated by means of the combination of (1) least-squares (LS) extrapolation of models for annual, semiannual, 18.6-year, 9.3-year oscillations and for the linear trend, and (2) multivariate autoregressive (MAR) stochastic prediction of LS residuals (LS + MAR). The MAR technique enables the use of the AAM χ ₃ time-series as the explanatory variable for the computation of LOD or UT1–UTC predictions. In order to evaluate the performance of this approach, two other prediction schemes are also applied: (1) LS extrapolation, (2) combination of LS extrapolation and univariate autoregressive (AR) prediction of LS residuals (LS + AR). The multivariate predictions of AAM χ ₃ data, however, are computed as a combination of the extrapolation of the LS model for annual and semiannual oscillations and the LS + MAR. The AAM χ ₃ predictions are also compared with LS extrapolation and LS + AR prediction. It is shown that the predictions of LOD and UT1–UTC based on LS + MAR taking into account the axial component of AAM are more accurate than the predictions of LOD and UT1–UTC based on LS extrapolation or on LS + AR. In particular, the UT1–UTC predictions based on LS + MAR during El Niño/La Niña events exhibit considerably smaller prediction errors than those calculated by means of LS or LS + AR. The AAM χ ₃ time-series is predicted using LS + MAR with higher accuracy than applying LS extrapolation itself in the case of medium-term predictions (up to 100 days in the future). However, the predictions of AAM χ ₃ reveal the best accuracy for LS + AR.