当代气候研究计划

就气候系统问题，国际上与气候及其变化有关的重要科学计划、尤其是气候变化及可预报性研究（CLIVAR）计划，作了简要介绍，同时还就气候预测问题作了讨论。     

基于GM(1,1)优化模型的岩石边坡变形预报

岩石边坡系统是一典型灰色系统，其变形发展过程可以用灰色预测模型完成。尽管传统GM（1，1）模型预测有很多成功的实例，但是也存在一些预测偏差过大的情况，必须对其进行优化。逐步迭代法GM（1，1）模型不仅收敛速度快，而且与原始数据库序列的凹凸性保护一致。利用自编的计算程序对马步坎边坡预测测点G1沉降和开裂进行预测分析，结果表明逐步迭代法GM（1，1）优化模型计算精度较传统GM（1，1）模型和背景构造法GM（1，1）优化模型高，较好地反映了岩石边坡的变形趋势。     

库车坳陷侏罗纪沉积环境和层序地层分析

通过对库车坳陷野外露头和钻井资料以及地震剖面的综合分析,对库车盆地侏罗纪沉积环境、层序划分进行了研究.库车盆地在侏罗纪时期为一非对称型坳陷型盆地,主要物源在盆地的北部.划分了13个三级层序,三个层序组,反映了三个大级别的旋回.最大湖侵期为阳霞组中上部,与当时有一个明显的气候变热期相一致.沉积环境在侏罗纪早期为辫状河-辫状河三角洲环境、中期为曲流河-三角洲环境,后期为三角洲和浅湖环境,中期有短暂的海泛发生.影响侏罗纪湖平面变化的主控因素为构造运动、气候变化、物源条件、河水的流入以及海侵的影响.在中侏罗世早期、晚期的最大湖侵和海泛的短暂时期,形成了厚层的烃源岩分布.库车坳陷侏罗系虽然砂体分布广泛,厚度较大,然而由于陆相沉积环境的控制,非均质性较强、     

国际冰芯与气候环境研究新进展--关于国际"冰芯与气候"会议

2001年8月19～23日, 在格陵兰举行了规模空前的"冰芯与气候"国际盛会, 会议展示了冰芯与气候环境研究的最新进展. 文中介绍这次会议并概括了近年来的主要研究进展. 与南北极地区的冰芯研究相比, 中低纬度地区冰芯研究是近年来国际冰芯研究中发展最快的. 在这一研究中, 中国科学家做出了重要贡献并得到了国际同行的高度评价.     

纪念中国冰缘地貌研究的启动者——裴文中教授

裴文中教授是中国冰缘地貌研究的启动者,他在近半个世纪前发表的两篇论文紧跟国际科学研究发展形势,详细阐述了冰缘作用的特点、过程及其对解决中国东部第四纪古冰川问题的意义。裴老最主要的贡献在于他当时强调了在古冰缘研究中综合分析环境背景的重要性,而不是孤立地研究冰缘现象,这种在地学研究中必须遵循的原则,对于现在的科学研究工作者仍然有很大的启示。     

Probability Density Functions as Botanical-Climatological Transfer Functions for Climate Reconstruction

We present a new procedure, the pdf method (pdf=probability density function), for reconstructing Quaternary climate utilizing botanical data. The procedure includes the advantages of the indicator species method by considering the fossil and modern presence and absence of taxa rather than their frequencies, thus avoiding the need for modern analog plant communities. Overcoming the problematic use of absolute limits to describe climate response ranges is the main progress of the pdf method in comparison to the indicator species method. This advantage results from estimating probability density functions (pdfs) for monthly mean January and July temperature conditional on the present day occurrence of single taxa. Gaussian distributions sufficiently approximate pdfs of many, although not all, studied taxa. On the assumption of statistical independence, the procedure calculates a joint pdf as the product of the pdfs of the individual taxa. This algorithm weights each taxon according to the extent of its climate response range expressed by its covariance structure. We interpret the maximum of the resulting pdf as the most likely climate and its confidence interval as the uncertainty range. To avoid an artificial reduction of uncertainty arising from the use of numerous similar pdfs, a preselection method is proposed based on the Mahalanobis distance between pdfs. The pdf method was applied to the Carpinus phase of a profile from Gröbern, Germany, that spans the last interglaciation (Eemian). The reconstructed most probable January and July temperatures of about 0.0°C and 18.4°C barely differ from the modern values of −0.5°C and 18.3°C.     

Analyzing CO2 emissions mitigation by technology improvement in Central and Eastern Europe

As a legacy of the centrally planned economy, the economies in transition of Central and Eastern Europe (CEE) have a unique potential to reduce their greenhouse gas emissions through the improvement in their high energy intensities. Since much of this `low-hanging fruit' in energy-efficiency improvements can be highly cost-effective, many developed countries facing difficulties in meeting their greenhouse gas (GHG) emission targets domestically are eager to find such opportunities in the CEE region. Therefore, studies analysing the potentials and costs of carbon dioxide reduction through technology improvement in the region have come into the limelight. While there are a few excellent studies in the region aimed at analysing climate change abatement potentials, they all embark on different assumptions, methodologies and boundary conditions. It is hence difficult, if not impossible, to compare and analyse the results of these studies across different authors, countries or time horizons. Consequently, the purpose of this paper is to place four leading studies on GHG mitigation through technology improvement from the CEE region into an internationally comparable framework. Four studies were selected from three countries, Poland, Hungary and Estonia, which are all the results of major national and international efforts to assess costs and potentials of GHG reduction. The paper places their assumptions, methods and final results into a framework which enables policy-makers and project designers to compare these across geographical and technological boundaries. Since other studies from around the globe have been analysed in this framework in the literature, this paper provides a vehicle for the findings of these four studies to be compared to others worldwide. In addition, the paper highlights a few areas where similar studies to be completed in the future in the region may be enhanced by incorporating features used in GHG mitigation research in other parts of the world. This revised version was published online in July 2006 with corrections to the Cover Date.     

Une méthode de quantification de la dégradation d'un escarpement de faille au cours des cycles climatiques du Quaternaire : la faille de Jobourg (Nord Cotentin,France)Quantification of a fault-scarp degradation through Quaternary: the Jobourg fault (North Cotentin,France)

The degradation of the Jobourg fault-scarp occurred by cryoclastic processes in a periglacial environment during a part of Quaternary time. An attempt of quantification indicates a bulk scarp erosion of about 39 m³ m^?2, while the head accumulated at the bottom of the fault scarp only represents 4.6 m³ m^?2. To cite this article: M. Font et al., C. R. Geoscience 334 (2002) 171–178.     

Counting chronology and climate records with about 1000 annual layers of a Holocene stalagmite from the Water Cave in Liaoning Province, China

One active stalagmite from the Water Cave in Liaoning Province contains growth layers of three sizes. Based on thermal ionization mass spectrometry 230Th dating, we found that middle size layers are annual layers, with each middle layer consisting of one narrow dark layer and a wide bright layer. The small layers within middle layers are sub-annual layers and the large layers are multi-year layers. Based on the layer-counting method, we established a high-resolution time scale for layer thickness. Our results reveal two dramatic century-scale climate cycles over the past 1000 years in this region.     

Reconstruction of the climate in the Tianmu Mountain area, Zhejiang Province, in the last 160 years by ? 13C sequence of tree ring α-cellulose

Based on cross-dating tree rings from the Tianmu Mountain, Zhejiang Province, the tree rings α-cellulose δ 13C time series was measured. By spectrum analysis, the variation of tree-ring δ13C sequence shows a quasi periodicity of 4.4 years, which is coincident with the standard cycle of El Nino. After removing the long-term decrease trend of the δ13C variation related to atmospheric CO2 concentration, the response of the δ13C to climate elements was analyzed using meteorology data from a nearby weather station. The results suggest that there is a distinct relativity between high-frequency variation of tree ring δ 13C series and seasonal climate parameters, e.g. Temperature and precipitation, with a significant time-lag effect. In addition, the high frequency also reflects the strength change of the East Asian Monsoon. The multiple regression method was employed to reconstruct the historical climate, and to analyze the climate change and trend in the last 160 years in the northern Zhejiang Province.