空间信息元数据互操作技术框架研究与实现

从空间信息语义层中的元数据互操作角度出发,讨论适用于空间信息元数据互操作的理论和方法,并提出基于扩展的元数据互操作协议的空间信息元数据互操作理论应用技术框架。     

基于多协议的地理信息服务集成

设计了多协议地理信息服务集成框架,探讨解决了其中的关键问题,实现了从不同地理信息服务获取的影像数据、矢量数据和DEM数据的无缝集成。     

联邦滤波的改进算法

分析并综述了联邦滤波算法,以及该算法存在的问题.针对观测信息不足的情况下,结合抗差估计和自适应估计理论对联邦滤波算法进行了改进,给出了联邦滤波在局部传感器观测信息不足情况下的改进算法.由模拟计算结果可知,在局部传感器观测信息不足的情况下,改进的联邦滤波器能较好地抑制载体观测异常和状态扰动异常对动态系统参数估值的影响,具有很强的的抗差性和自适应性.     

两种渐消滤波与自适应抗差滤波的综合比较分析

给出了两种渐消滤波解及其相应的原则，介绍了自适应抗差滤波原理和相应的解，分别从原理和解的表达式上分析了两种渐消滤波和自适应抗差滤波解算的基本性能。利用一个实际算例比较了渐消滤波与自适应抗差滤波解在控制状态异常影响方面的能力。     

多分类器联合监督分类方法研究

针对遥感图像监督分类方法适用范围不同且分类机制各有优劣的特点,本文提出将最大似然法与最小距离法结合的监督分类法。对eTM 影像进行分类,结果表明,与单一分类器的分类结果相比,分类器结合的监督分类技术能有效提高遥感图像专题信息提取的精度。     

使用SVM进行短期气候预测的应用试验

从气象角度介绍了利用SVM方法的预报原理,对西安短期气候预测做了实验,并分析预报结果,得出SVM方法在天气预报领域有一定的使用空间的结论。     

塔城地区近45年气候变化分析

利用1960—2004年气温、降水、初终霜、日照等资料,分析塔城地区气候变化特点。通过分析发现:塔城地区年降水变化不显著;年平均气温以0.46℃/10a的速率变暖,其中冬季变暖最为突出;年平均气温在20世纪60年代中期、60年代末分别发生了一次明显的突变。     

省级上行气象信息传输软件的开发

省级上行气象信息传输软件是基于SCO Unix平台开发的，功能包括气象信息的收集、分类打包和发送。软件投入业务运行后，不但简化了上行报的传输流程，提高了上行报的传输时效和传输可靠性，也方便了市、县发报台站的业务人员，还减轻报务员的劳动强度。     

气象信息网站后台管理技术研究

对当前气象信息网站进行概述,就气象网站后台管理的开发应用从结构和技术上进行了分析.     

Multi-Year Simulations and Experimental Seasonal Predictions for Rainy Seasons in China by Using a Nested Regional Climate Model （RegCM_NCC） Part Ⅱ： The Experimental Seasonal Prediction

A nested regional climate model has been experimentally used in the seasonal prediction at the China National Climate Center (NCC) since 2001. The NCC/IAP (Institute of Atmospheric Physics) T63 coupled GCM (CGCM) provides the boundary and initial conditions for driving the regional climate model (RegCM NCC). The latter has a 60-km horizontal resolution and improved physical parameterization schemes including the mass flux cumulus parameterization scheme, the turbulent kinetic energy closure scheme (TKE) and an improved land process model (LPM). The large-scale terrain features such as the Tibetan Plateau are included in the larger domain to produce the topographic forcing on the rain-producing systems. A sensitivity study of the East Asian climate with regard to the above physical processes has been presented in the first part of the present paper. This is the second part, as a continuation of Part I. In order to verify the performance of the nested regional climate model, a ten-year simulation driven by NCEP reanalysis datasets has been made to explore the performance of the East Asian climate simulation and to identify the model’s systematic errors. At the same time, comparative simulation experiments for 5 years between the RegCM2 and RegCM NCC have been done to further understand their differences in simulation performance. Also, a ten-year hindcast (1991–2000) for summer (June–August), the rainy season in China, has been undertaken. The preliminary results have shown that the RegCM NCC is capable of predicting the major seasonal rain belts. The best predicted regions with high anomaly correlation coefficient (ACC) are located in the eastern part of West China, in Northeast China and in North China, where the CGCM has maximum prediction skill as well. This fact may reflect the importance of the largescale forcing. One significant improvement of the prediction derived from RegCM NCC is the increase of ACC in the Yangtze River valley where the CGCM has a very low, even a negative, ACC. The reason behind this improvement is likely to be related to the more realistic representation of the large-scale terrain features of the Tibetan Plateau. Presumably, many rain-producing systems may be generated over or near the Tibetan Plateau and may then move eastward along the Yangtze River basin steered by upper-level westerly airflow, thus leading to enhancement of rainfalls in the mid and lower basins of the Yangtze River. The real-time experimental predictions for summer in 2001, 2002, 2003 and 2004 by using this nested RegCM NCC were made. The results are basically reasonable compared with the observations.