本文提出可定制、可视化和可控的文件系统可视化模拟平台(File System Visual Simulator,FSVS),该系统以操作系统模拟器为核心,结合Minix文件系统和虚拟磁盘设备,真实模拟文件系统。通过这个平台直观形象地展示文件系统的运行过程,为理...本文提出可定制、可视化和可控的文件系统可视化模拟平台(File System Visual Simulator,FSVS),该系统以操作系统模拟器为核心,结合Minix文件系统和虚拟磁盘设备,真实模拟文件系统。通过这个平台直观形象地展示文件系统的运行过程,为理解文件系统运行过程及原理提供了便利,同时为促进教学改革起着积极的作用。经实例验证,该系统与OS文件系统原理相符合。展开更多
The sensitive regions of conditional nonlinear optimal perturbations (CNOPs) and the first singular vector (FSV) for a northwest Pacific typhoon case are reported in this paper. A large number of probes have been desi...The sensitive regions of conditional nonlinear optimal perturbations (CNOPs) and the first singular vector (FSV) for a northwest Pacific typhoon case are reported in this paper. A large number of probes have been designed in the above regions and the ensemble transform Kalman filter (ETKF) techniques are utilized to examine which approach can locate more appropriate regions for typhoon adaptive observations. The results show that, in general, the majority of the probes in the sensitive regions of CNOPs can reduce more forecast error variance than the probes in the sensitive regions of FSV. This implies that adaptive observations in the sensitive regions of CNOPs are more effective than in the sensitive regions of FSV. Furthermore, the reduction of the forecast error variance obtained by the best probe identified by CNOPs is twice the reduction of the forecast error variance obtained by FSV. This implies that dropping sondes, which is the best probe identified by CNOPs, can improve the forecast more than the best probe identified by FSV. These results indicate that the sensitive regions identified by CNOPs are more appropriate for adaptive observations than those identified by FSV.展开更多
文摘本文提出可定制、可视化和可控的文件系统可视化模拟平台(File System Visual Simulator,FSVS),该系统以操作系统模拟器为核心,结合Minix文件系统和虚拟磁盘设备,真实模拟文件系统。通过这个平台直观形象地展示文件系统的运行过程,为理解文件系统运行过程及原理提供了便利,同时为促进教学改革起着积极的作用。经实例验证,该系统与OS文件系统原理相符合。
基金jointly sponsored by the National Natural Science Foundation of China (Grant Nos. 40830955 and 40821092)the China Meteorological Administration (Grant No. GYHY200906009)
文摘The sensitive regions of conditional nonlinear optimal perturbations (CNOPs) and the first singular vector (FSV) for a northwest Pacific typhoon case are reported in this paper. A large number of probes have been designed in the above regions and the ensemble transform Kalman filter (ETKF) techniques are utilized to examine which approach can locate more appropriate regions for typhoon adaptive observations. The results show that, in general, the majority of the probes in the sensitive regions of CNOPs can reduce more forecast error variance than the probes in the sensitive regions of FSV. This implies that adaptive observations in the sensitive regions of CNOPs are more effective than in the sensitive regions of FSV. Furthermore, the reduction of the forecast error variance obtained by the best probe identified by CNOPs is twice the reduction of the forecast error variance obtained by FSV. This implies that dropping sondes, which is the best probe identified by CNOPs, can improve the forecast more than the best probe identified by FSV. These results indicate that the sensitive regions identified by CNOPs are more appropriate for adaptive observations than those identified by FSV.
