长春市强冰雪冻害天气系统及物理量特征

应用1971~2000年长春气象站10月至次年3月的逐日降水量、气温资料以及相应的NCEP/NCAR再分析资料,通过对资料的统计分析,给出了确定长春市发生强冰雪冻害天气的标准;根据对36个历史个例的高低空环流形势的分析,建立了4种强冰雪冻害的天气概念模型:冷涡型、深槽型、浅槽型、锋区平直型;进一步分析了长春市冰雪冻害天气的物理量场、要素场的特征。     

南极伊利莎白公主地250年来雪芯累积、氧同位素与化学研究

1Introduction In the ongoing discussion of climate change,the mass balance of Antarctica has received increasing attention during recent decades,since its reaction to global warming will strongly influence sea-level change(Schlosser and Oerter,2002).Many …     

基于夜间灯光数据的环渤海地区城市化空间模式和过程研究

1 Introduction Urban agglomeration is a system of cities, supporting by the modern transportation and information network in the system, these cities, with different characteristics, types, sizes and hierarchies, interact with each other, and one or two …     

气候变化对中国大雾的影响

1 Introduction The global environmental problem caused by climatic warming has attracted increasing attention of the scientific communities, the public and governments of various countries. The mean temperature of the recent decade is the highest of the p…     

P2P环境中的全局空间数据目录研究

P2P计算通过大量自治的节点协作共享资源与计算,为空间数据和空间操作的分布提供了新的分布式计算模式。分布在不同Peer上的空间数据库节点通过P2P协作构成一个超级全局空间数据库,全局空间数据目录是P2P环境下快速定位空间数据资源和空间计算节点的关键技术。Peer数据库节点的数据模式、元数据、资源状态参数等抽象为一系列关键词集合。全局目录基于Peer空间数据库节点的外包矩形进行动态聚类并建立P2P环境下的空间索引,支持Peer空间数据库节点的动态加入和退出,支持复杂空间查询和关键词查询。该文给出了全局空间数据目录的组织模型、P2P空间数据索引及空间资源发现算法。     

基于P2P的空间数据操作分布技术研究

分布在不同节点的空间数据库通过P2P协作共同完成复杂的空间应用任务。提出一种基于P2P的空间数据操作分布的引擎设计:引擎根据空间应用任务的解析,在P2P网络中动态地选择最佳的执行引擎,通过P2P的消息和通信机制进行协作,共同完成复杂的空间计算和空间查询任务。P2P的执行机制避免了集中式执行引擎带来的网络拥塞和单点失效问题,提高了空间数据资源和计算资源协作的可靠性和可用性。     

Using Statistical Downscaling to Quantify the GCM-Related Uncertainty in Regional Climate Change Scenarios： A Case Study of Swedish Precipitation

There are a number of sources of uncertainty in regional climate change scenarios. When statistical downscaling is used to obtain regional climate change scenarios, the uncertainty may originate from the uncertainties in the global climate models used, the skill of the statistical model, and the forcing scenarios applied to the global climate model. The uncertainty associated with global climate models can be evaluated by examining the differences in the predictors and in the downscaled climate change scenarios based on a set of different global climate models. When standardized global climate model simulations such as the second phase of the Coupled Model Intercomparison Project （CMIP2） are used, the difference in the downscaled variables mainly reflects differences in the climate models and the natural variability in the simulated climates. It is proposed that the spread of the estimates can be taken as a measure of the uncertainty associated with global climate models. The proposed method is applied to the estimation of global-climate-model-related uncertainty in regional precipitation change scenarios in Sweden. Results from statistical downscaling based on 17 global climate models show that there is an overall increase in annual precipitation all over Sweden although a considerable spread of the changes in the precipitation exists. The general increase can be attributed to the increased large-scale precipitation and the enhanced westerly wind. The estimated uncertainty is nearly independent of region. However, there is a seasonal dependence. The estimates for winter show the highest level of confidence, while the estimates for summer show the least.     

Implementation of the semi-Lagrangian advection scheme on a quasi-uniform overset grid on a sphere

The semi-Lagrangian advection scheme is implemented on a new quasi-uniform overset （Yin-Yang） grid on the sphere. The Yin-Yang grid is a newly developed grid system in spherical geometry with two perpendicularly-oriented latitude-longitude grid components （called Yin and Yang respectively） that overlapp each other, and this effectively avoids the coordinate singularity and the grid convergence near the poles. In this overset grid, the way of transferring data between the Yin and Yang components is the key to maintaining the accuracy and robustness in numerical solutions. A numerical interpolation for boundary data exchange, which maintains the accuracy of the original advection scheme and is computationally efficient, is given in this paper. A standard test of the solid-body advection proposed by Williamson is carried out on the Yin-Yang grid. Numerical results show that the quasi-uniform Yin-Yang grid can get around the problems near the poles, and the numerical accuracy in the original semi-Lagrangian scheme is effectively maintained in the Yin-Yang grid.     

Some phenomena of the interaction between vegetation and a atmosphere on multiple scales

This article studies the response of the distribution pattern and the physiological characteristics of the ecosystem to the spontaneous precipitation and the interaction between vegetation and the atmosphere on multiple scales in arid and semi-arid zones, based on measured data of the ecological physiological parameters in the Ordas Plateau of northern China. The results show that the vegetation biomass and the energy use efficiency of photosynthesis are especially sensitive to the annual precipitation; strong and complex interactions exist between the vegetation and the atmosphere on multiple scales leading to supernormal thermal heterogeneity of the underlying surface, the strong vortex movement and turbulence. This study can facilitate understanding of the land surface processes and the influences of global climate change as well as human activities on the human environment in the arid and semi-arid zones. It also aids in improving the parameterization schemes of turbulent fluxes of a heterogeneous underlying surface for land surface processes in climate models.     

宗日遗址人骨的稳定同位素分析

利用C和N稳定同位素分析方法研究了青海宗日遗址先民的食谱,探讨了先民的经济模式以及食谱变化趋势。所有人骨骨胶原中的C,N含量以及C/N摩尔比,均表明样品保存较好,可用作食谱分析。骨胶原的δ¹³ C值和δ¹⁵ N值分析显示,先民主要以C₄类植物为食,也摄取一定量的肉食,反映了以粟、黍等为主食而渔猎为辅的生活方式。性质未明墓葬与宗日墓葬之间存在的较大食谱差异,可能与其来自不同文化密切相关。宗日遗址在发展过程中,先民食谱中C₄植物增加而肉食类减少,反映了农业加狩猎采集的混和经济模式向稳定农业模式转变的趋势。