基于AO和面向对象思想的GIS图形编辑的设计与实现

在ArcObjects的基础上,以面向对象的思想作为指导,设计并实现了地理信息系统的图形编辑。     

中国岩石圈三维结构数据库总库管理系统

中国岩石圈三维结构数据库总库管理系统是中国岩石圈三维结构数据库的管理和服务中心。在中国岩石圈三维结构数据库需求分析基础上,完成了系统总体设计,制订各项技术标准;开发设计一个元数据编辑器和元数据浏览器;应用统一建模语言UML设计和优化了数据库结构;采用ESRI公司Geodatabase的数据模型,利用计算机辅助设计CASE工具设计中国岩石圈三维结构数据库。在ArcObjects和MapObjects的基础上,分别建立了功能齐全、操作简便的两套组件式总库管理系统,分别适合专业和非地理信息系统专业人员。     

Using the physical decomposition method to study the effects of Arctic factors on wintertime temperatures in the Northern Hemisphere and China

The physical decomposition method separates atmospheric variables into four parts, correlating each with solar radiation, land–sea distribution, and inter-annual and seasonal internal forcing, strengthening the anomaly signal and increasing the correlation between variables. This method was applied to the reanalysis data from the National Centers for Environmental Prediction/National Center for Atmospheric Research(NCEP/NCAR), to study the effects of Arctic factors(Arctic oscillation(AO) and Arctic polar vortex) on wintertime temperatures in the Northern Hemisphere and China. It was found that AO effects on zonal average temperature disturbance could persist for 1 month. In the AO negative phase in wintertime, the temperatures are lower in the mid–high latitudes than in normal years, but higher in low latitudes. When the polar vortex area is bigger, the zonal average temperature is lower at 50°N. Influenced mainly by meridional circulation enhancement, cold air flows from high to low latitudes; thus, the temperatures in Continental Europe and the North American continent exhibit an antiphase seesaw relationship. When the AO is in negative phase and the Arctic polar vortex larger, the temperature is lower in Siberia, but higher in Greenland and the Bering Strait. Influenced by westerly troughs and ridges, the polar air disperses mainly along the tracks of atmospheric activity centers. The AO index can be considered a predictor of wintertime temperature in China. When the AO is in negative phase or the Asian polar vortex is intensified, temperatures in Northeast China and Inner Mongolia are lower, because under the influence of the Siberia High and northeast cold vortex, the cold air flows southwards.     

天津春季气候特征及2013年春季影响因子分析

利用1974-2012年天津12个气象站的降水、气温资料及NCEP／NCAR再分析资料等,采用经验函数正交分解（EOF）和相关分析等统计方法,对天津春季的气候特征及主要影响因子进行分析。结果表明：1）天津春季降水空间分布主要有全市一致型和南北反位相型2种分布型,其总方差贡献接近90％,2013年春季为全市一致型。2）东亚冬季风、北极涛动（AO）和西太平洋副高是天津春季气候的主要影响因子。3）2013年,东亚冬季风偏强,AO冬、春持续负位相,春季西太平洋副高偏弱、偏东,均指示天津2013年春季降水偏少、气温偏低的可能性大。