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。     

中国北方晚更新世人类的适应变迁与辐射

晚更新世是现代人在全球建立全面的生态优势的时期。中国北方有比较丰富的发现,但现有的材料和研究没有能够回答人类此时的生计状态、适应模式和环境联系。文章从行为重建和生态学的角度考察,将中国北方晚更新世的人类适应置于欧亚大陆整体人类演化框架中来考虑,重新审查已有的发现,提出中国旧石器时代晚期可以分为两个阶段:以骨角工具、装饰品和更精制的石器组合为代表的早段(EUP)和以细石叶工艺为代表的晚段(LUP);并确定中国北方晚更新世人类适应至少经历两次革命性的变化,同时存在至少4种适应模式;而且其地域化的特征是从早到晚加强。人类的适应辐射则主要表现于人口的扩张,特别是向极端环境的殖民,技术模式的迅速转换和地域化特征的加强。     

华东地区态矢量的研究

态矢量来源于统计物理学,是对连续场进行粗粒化描述的方法。尹祥础等把该方法移植到地震学中用以定量刻画地震活动性的演化,取得较好的结果。作者对华东地区1970年以来发生5级以上12次地震进行了分析,总结震前态矢量的变化情况,发现震前态矢量均有显著变化,为本地区地震趋势预测提供一定的参考价值。     

首都圈数字地震台网地震事件波形的管理与服务

介绍了首都圈数字地震台网地震事件波形数据的管理和服务系统的基本功能及使用方法,该系统利用GMT,SAC作为后台处理软件,通过perl,Unix Shell程序实现首都圈地震事件波形数据的网络发布。     

非一致激励条件下工程场地地震动相干函数的数值模拟--Ⅰ分析原理和方法

本文将随机振动的虚拟激励原理与工程波动理论散射问题的求解方法相结合,建立了开放系统中非一致激励条件下工程场地地震动随机场的数值模拟方法。该方法将随机输入下的波动分析问题转换为多个虚拟激励下的确定性波动分析组合问题,从而可以方便地获得场地波动观测量之间的谱密度矩阵,进而计算给出工程场地的地震动相干函数。本文还用数值模拟的办法对所提出方法的合理性和稳定性进行了探讨。     

长输管道抗震研究的新进展

本文主要从以下4个方面:地震对长输管道的危害、长输管道震害的研究方法、管道抗震分析和管道抗震的措施,介绍了近几年长输管道抗震方面的研究进展,指出了今后长输管道的研究方向。     

建立回弹现场测强曲线的位置参数法

工程上迫切需要在现场数据较少的情况下,建立高精度和高可靠度的现场测强曲线(经验公式)。本文利用位置参数法,提出了一种回弹法现场测强曲线(经验公式)。此曲线(经验公式)仍运用原有的幂函数形式并保持回归参数不变,通过增加位置参数反映现场试验的个性信息。此曲线(经验公式)融合了所在地区混凝土强度值、回弹值、碳化深度值之间的共性趋势和现场检测得到的反映现场情况的个性信息,而且解决了地区测强曲线(经验公式)不能完全描述现场的实际情况,而现场检测数据一般不能满足制定现场专用测强曲线(经验公式)要求的问题。在建筑结构无损检测中,利用本文提出的测强曲线(经验公式)可以极大地提高检测精度和检测结果的可靠性,使检测结果更加符合施工现场的实际情况。