计算机网络的分布式计算环境及分布式处理     

胡振东  达汉桥  夏林元 《武汉大学学报(信息科学版)》1997,(3)

本文对网络计算模式、分布式计算环境以及分布式处理机能作了分析和探讨。  相似文献   

大气对流边界层中的涡漩结构   总被引：4，自引：1，他引：4  

桑建国 《气象学报》1997,55(3):285-296

大气边界层中存在尺度从几百米到几十公里的大涡漩运动。它们在边界层中动量、热量、水汽等垂直输送中起重要作用。作者从边界层中对流和上部稳定层中波动相互作用的观点，发展得出大涡结构的对流波动理论。根据此理论，大涡的波谱构成主要由上、下层大气中风向、风速、层结以及两层之间的温度跃变等因素决定。本文根据卫星云图和天气资料分析了一次冷空气爆发流经暖洋面上形成云街、对流单体以及它们之间的相互演化的过程，并用对流波动理论，依据各阶段的大气条件计算出它们的波数构成，并得出了垂直速度、辐合带、界面扰动的分布，解释了云街、对流单体的形成、结构及相互转化的原因  相似文献   

傅立叶相位分析导风技术的适用范围和相位重叠分析          下载免费PDF全文

许建明  王振会 《气象科学》2004,24(3):309-313

本文利用傅立叶相位分析法对示踪云进行频域波谱分析，通过谐波的相位变化计算波速，从而导出云迹风(Cloud Motion Wind—CMW)。本文研究表明，对于给定的导风云图序列，如果示踪云在给定时间间隔内的位移小于两个像距，适用傅立叶相位分析法计算云迹风；否则，在用傅立叶相位分析法计算波速时由于高次谐波出现相位重叠，从而使计算的波速小于实际风速，此时适用最大相关系数法。  相似文献   

用多普勒雷达反射率调整模式大气的云微物理变量   总被引：5，自引：2，他引：5       下载免费PDF全文

李永平袁招洪  王晓峰 《应用气象学报》2004,15(6):658-663

一种简单云分析方案, 用于由多普勒天气雷达反射率反演中尺度大气模式初值分析中的云微物理变量（云水混合比和雨水混合比）和空气湿度变量（比湿），使模式积分初始场反映出观测空间的云微物理特征以及哪些空间位置上的大气处于饱和状态。应用于2002年6月梅雨期安徽省马鞍山市一次降水过程的临近数值预报试验结果表明，模式预报的大气综合反射率与雷达观测的回波图像相近，由云微物理变量变化表示的模式云系演变与雷达观测的回波图像一致, 伴随模拟的中小尺度云系, 模式大气能很快调整出合理的中小尺度流场辐散、辐合结构；它们明显好于模式初始场不引入雷达反射率时的结果，即这种方法对改进临近数值天气预报准确率是有效的。  相似文献   

自适应空间信息移动服务   总被引：4，自引：0，他引：4  

张海堂罗睿  张永生李波 《测绘学院学报》2004,21(1):34-37,41

空间信息移动服务系统是空间信息系统继由传统PC计算环境向有线Web分布式计算环境扩展后，向移动计算环境的新发展。文中在分析移动计算环境概念和特点的基础上，讨论了空间信息移动服务的若干特点及关键技术，研究了自适应空间信息移动服务方案。  相似文献   

Clustering and visualization of earthquake data in a grid environment     

Dave A.Yuen  Benjamin J. Kadlec  Evan F. Bollig  Witold Dzwinel  Zachary A. Garbow  Cesar R. S. da Silva 《Visual Geosciences》2005,10(1):1-12

We present a web client-server service WEB-IS, which we have developed for remote analysis and visualization of seismic data consisting of both small magnitude events and large earthquakes. We show that the problem-solving environment (PSE) intended for prediction of large magnitude earthquakes can be based on this WEB-IS idea. The clustering schemes, feature generation, feature extraction techniques and rendering algorithms form a computational framework of this environment. On the other hand, easy and fast access both to the seismic data distributed among distant computing resources and to computational and visualization resources can be realized in a GRID framework. We discuss the usefulness of NaradaBrokering (iNtegrated Asynchronous Real-time Adaptive Distributed Architecture) as a middleware, allowing for flexibility and high throughput for remote visualization of geophysical data. The WEB-IS functionality was tested both on synthetic and the actual earthquake catalogs. We consider the application of similar methodology for tsunami alerts.  相似文献   

Improved algorithms for generalized finite element simulations of three-dimensional hydraulic fracture propagation     

Nathan Shauer  Carlos Armando Duarte 《国际地质力学数值与分析法杂志》2019,43(18):2707-2742

This paper reports improvements to algorithms for the simulation of 3-D hydraulic fracturing with the Generalized Finite Element Method (GFEM). Three optimizations are presented and analyzed. First, an improved initial guess based on solving a 3-D elastic problem with the pressure from the previous step is shown to decrease the number of Newton iterations and increase robustness. Second, an improved methodology to find the time step that leads to fracture propagation is proposed and shown to decrease significantly the number of iterations. Third, reduced computational cost is observed by properly recycling the linear part of the coupled stiffness matrix. Two representative examples are used to analyze these improvements. Additionally, a methodology to include the leak-off term is presented and verified against asymptotic analytical solutions. Conservation of mass is shown to be well satisfied in all examples.  相似文献   

智慧城市时空信息云平台建设研究     

程晓燕  朱元彪  邬懿宁 《测绘与空间地理信息》2016,(7)

以完善的云环境建设为支撑,以构建标准安全的防护体系为保障,以时空信息云平台建设为基础,以智慧应用建设为重点,促成跨域、跨部门、跨层级的数据融合,提高城市综合智能化水平,使城市运转更加高效、敏捷、低碳与和谐。  相似文献   

PMODTRAN: a parallel implementation based on MODTRAN for massive remote sensing data processing     

Fang Huang  Ji Zhou  Xicheng Tan  Shunlin Liang  Jie Cheng 《International Journal of Digital Earth》2016,9(9):819-834

MODerate resolution atmospheric TRANsmission (MODTRAN) is a commercial remote sensing (RS) software package that has been widely used to simulate radiative transfer of electromagnetic radiation through the Earth's atmosphere and the radiation observed by a remote sensor. However, when very large RS datasets must be processed in simulation applications at a global scale, it is extremely time-consuming to operate MODTRAN on a modern workstation. Under this circumstance, the use of parallel cluster computing to speed up the process becomes vital to this time-consuming task. This paper presents PMODTRAN, an implementation of a parallel task-scheduling algorithm based on MODTRAN. PMODTRAN was able to reduce the processing time of the test cases used here from over 4.4 months on a workstation to less than a week on a local computer cluster. In addition, PMODTRAN can distribute tasks with different levels of granularity and has some extra features, such as dynamic load balancing and parameter checking.  相似文献   

A variable precision rough set approach to knowledge discovery in land cover classification     

Iftikhar U. Sikder 《International Journal of Digital Earth》2016,9(12):1206-1223

This paper presents a granular computing approach to spatial classification and prediction of land cover classes using rough set variable precision methods. In particular, it presents an approach to characterizing large spatially clustered data sets to discover knowledge in multi-source supervised classification. The evidential structure of spatial classification is founded on the notions of equivalence relations of rough set theory. It allows expressing spatial concepts in terms of approximation space wherein a decision class can be approximated through the partition of boundary regions. The paper also identifies how approximate reasoning can be introduced by using variable precision rough sets in the context of land cover characterization. The rough set theory is applied to demonstrate an empirical application and the predictive performance is compared with popular baseline machine learning algorithms. A comparison shows that the predictive performance of the rough set rule induction is slightly higher than the decision tree and significantly outperforms the baseline models such as neural network, naïve Bayesian and support vector machine methods.  相似文献