操作系统原理课程普遍存在实践教学设备的缺乏和低效,为此,提出一种采用插桩技术的可视化操作系统虚拟实验室VOSLS(A Visual Operating System Virtual Lab Using Stub Method)。采用插桩方案调试用于实验的操作系统内核,将复杂的GDB调...操作系统原理课程普遍存在实践教学设备的缺乏和低效,为此,提出一种采用插桩技术的可视化操作系统虚拟实验室VOSLS(A Visual Operating System Virtual Lab Using Stub Method)。采用插桩方案调试用于实验的操作系统内核,将复杂的GDB调试协议简化为简单的插桩通信协议;以软盘或硬盘映像文件为媒介,与运行于虚拟机上的被实验操作系统通信,获取其运行信息,并采用可视化图形引擎技术将获得的运行信息以图形的方式呈现给用户。实际应用表明,借助该虚拟实验室,可有效提高实验教学效果。展开更多
This study investigated the influence of dropwindsonde observations on typhoon forecasts. The study also evaluated the feasibility of the conditional nonlinear optimal perturbation (CNOP) method as a basis for sensiti...This study investigated the influence of dropwindsonde observations on typhoon forecasts. The study also evaluated the feasibility of the conditional nonlinear optimal perturbation (CNOP) method as a basis for sensitivity analysis of such forecasts. This sensitivity analysis could furnish guidance in the selection of targeted observations. The study was performed by conducting observation system experiments (OSEs). This research used the fifth-generation Mesoscale Model (MM5), the Weather Research and Forecasting (WRF) model, and dropsonde observations of Typhoon Nida at 1200 UTC 17 May 2004. The dropsondes were collected under the operational Dropsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR) program. In this research, five kinds of experiments were designed and conducted:(1) no observations were assimilated; (2) all observations were assimilated;(3) observations in the sensitive area revealed by the CNOP method were assimilated;(4) the same as in (3), but for the region revealed by the first singular vector (FSV) method;and (5) observations within a randomly selected area were assimilated. The OSEs showed that (1) the DOTSTAR data had a positive impact on the forecast of Nida's track;(2) dropsondes in the sensitive areas identified by the MM5 CNOP and FSV remained effective for improving the track forecast for Nida on the WRF platform;and (3) the greatest improvement in the track forecast resulted from the CNOP-based (third) simulation, which indicated that the CNOP method would be useful in decision making about dropsonde deployments.展开更多
文摘操作系统原理课程普遍存在实践教学设备的缺乏和低效,为此,提出一种采用插桩技术的可视化操作系统虚拟实验室VOSLS(A Visual Operating System Virtual Lab Using Stub Method)。采用插桩方案调试用于实验的操作系统内核,将复杂的GDB调试协议简化为简单的插桩通信协议;以软盘或硬盘映像文件为媒介,与运行于虚拟机上的被实验操作系统通信,获取其运行信息,并采用可视化图形引擎技术将获得的运行信息以图形的方式呈现给用户。实际应用表明,借助该虚拟实验室,可有效提高实验教学效果。
基金jointly sponsored by the National Natural Science Foundation of China(Grant No.40830955)the China Meteorological Administration(Grant No.GYHY200906009)
文摘This study investigated the influence of dropwindsonde observations on typhoon forecasts. The study also evaluated the feasibility of the conditional nonlinear optimal perturbation (CNOP) method as a basis for sensitivity analysis of such forecasts. This sensitivity analysis could furnish guidance in the selection of targeted observations. The study was performed by conducting observation system experiments (OSEs). This research used the fifth-generation Mesoscale Model (MM5), the Weather Research and Forecasting (WRF) model, and dropsonde observations of Typhoon Nida at 1200 UTC 17 May 2004. The dropsondes were collected under the operational Dropsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR) program. In this research, five kinds of experiments were designed and conducted:(1) no observations were assimilated; (2) all observations were assimilated;(3) observations in the sensitive area revealed by the CNOP method were assimilated;(4) the same as in (3), but for the region revealed by the first singular vector (FSV) method;and (5) observations within a randomly selected area were assimilated. The OSEs showed that (1) the DOTSTAR data had a positive impact on the forecast of Nida's track;(2) dropsondes in the sensitive areas identified by the MM5 CNOP and FSV remained effective for improving the track forecast for Nida on the WRF platform;and (3) the greatest improvement in the track forecast resulted from the CNOP-based (third) simulation, which indicated that the CNOP method would be useful in decision making about dropsonde deployments.
