Storm surge is one of the most serious oceanic disasters. Accurate and timely numerical prediction is one of the primary measures for disaster control. Traditional storm surge models lack of accuracy and time effects....Storm surge is one of the most serious oceanic disasters. Accurate and timely numerical prediction is one of the primary measures for disaster control. Traditional storm surge models lack of accuracy and time effects. To overcome the disadvantages, in this paper, an analytical cyclone model was first added into the Finite-Volume Coastal Ocean Model （FVCOM） consisting of high resolution, flooding and drying capabilities for 3D storm surge modeling. Then, we integrated MarineTools Pro into a geographic information system （GIS） to supplement the storm surge model. This provided end users with a friendly modeling platform and easy access to geographically referenced data that was required for the model input and output. A temporal GIS tracking analysis module was developed to create a visual path from storm surge numerical results. It was able to track the movement of a storm in space and time. MarineTools Pro＇ capabilities could assist the comprehensive understanding of complex storm events in data visualization, spatial query, and analysis of simulative results in an objective and accurate manner. The tools developed in this study further supported the idea that the coupled system could enhance productivity by providing an efficient operating environ- ment for accurate inversion or storm surge prediction. Finally, this coupled system was used to reconstruct the storm surge generated by Typhoon Agnes （No. 8114） and simulated typhoon induced-wind field and water elevations of Yangtze Estuary and Hangzhou Bay. The simulated results show good correlation with actual surveyed data. The simple operating interface of the coupled system is very convenient for users, who want to learn the usage of the storm surge model, especially for first-time users, which can save their modeling time greatly.展开更多
With the unstructured grid, the Finite Volume Coastal Ocean Model（FVCOM） is converted from its original FORTRAN code to a Compute Unified Device Architecture（CUDA） C code, and optimized on the Graphic Processor U...With the unstructured grid, the Finite Volume Coastal Ocean Model（FVCOM） is converted from its original FORTRAN code to a Compute Unified Device Architecture（CUDA） C code, and optimized on the Graphic Processor Unit（GPU）. The proposed GPU-FVCOM is tested against analytical solutions for two standard cases in a rectangular basin, a tide induced flow and a wind induced circulation. It is then applied to the Ningbo＇s coastal water area to simulate the tidal motion and analyze the flow field and the vertical tide velocity structure. The simulation results agree with the measured data quite well. The accelerated performance of the proposed 3-D model reaches 30 times of that of a single thread program, and the GPU-FVCOM implemented on a Tesla k20 device is faster than on a workstation with 20 CPU cores, which shows that the GPU-FVCOM is efficient for solving large scale sea area and high resolution engineering problems.展开更多
文摘Storm surge is one of the most serious oceanic disasters. Accurate and timely numerical prediction is one of the primary measures for disaster control. Traditional storm surge models lack of accuracy and time effects. To overcome the disadvantages, in this paper, an analytical cyclone model was first added into the Finite-Volume Coastal Ocean Model （FVCOM） consisting of high resolution, flooding and drying capabilities for 3D storm surge modeling. Then, we integrated MarineTools Pro into a geographic information system （GIS） to supplement the storm surge model. This provided end users with a friendly modeling platform and easy access to geographically referenced data that was required for the model input and output. A temporal GIS tracking analysis module was developed to create a visual path from storm surge numerical results. It was able to track the movement of a storm in space and time. MarineTools Pro＇ capabilities could assist the comprehensive understanding of complex storm events in data visualization, spatial query, and analysis of simulative results in an objective and accurate manner. The tools developed in this study further supported the idea that the coupled system could enhance productivity by providing an efficient operating environ- ment for accurate inversion or storm surge prediction. Finally, this coupled system was used to reconstruct the storm surge generated by Typhoon Agnes （No. 8114） and simulated typhoon induced-wind field and water elevations of Yangtze Estuary and Hangzhou Bay. The simulated results show good correlation with actual surveyed data. The simple operating interface of the coupled system is very convenient for users, who want to learn the usage of the storm surge model, especially for first-time users, which can save their modeling time greatly.
文摘利用7套温盐初始场、5套开边界强迫场海洋数据产品与温盐流观测数据,基于有限体积海岸模型(Finite-Volume Coastal Ocean Model,FVCOM),开展数值模型的初始场敏感性试验与开边界敏感性试验,定义一个分叉角度指标描述黄海暖流分叉特征,利用小波分析和功率谱分析方法研究分叉角度的冬季季节内变率,进而分析冬季东中国海的流场结构,包括黑潮、台湾暖流、对马暖流等的路径、来源特征。结果表明:在渤、黄、东海中,使用涡解高精度海洋模型(OGCM for the Earth Simulator,OFES)的再分析数据作为温盐初始场,以及使用简单海洋数据同化资料(Simple Ocean Data Assimilation,SODA)作为开边界强迫场时,温盐流与观测值综合偏差最小,FVCOM的冬季数值结果最可靠;使用分叉角度指标可以直观地描述冬季黄海暖流的消退变化,受风场影响,分叉角度存在3 d、5~8 d的强周期变化。
基金Project supported by the National Natural Science Foundation of China(Grant No.51279028,51479175)the Public Science and Technology Research Funds Projects of Ocean(Grant No.201405025)
文摘With the unstructured grid, the Finite Volume Coastal Ocean Model（FVCOM） is converted from its original FORTRAN code to a Compute Unified Device Architecture（CUDA） C code, and optimized on the Graphic Processor Unit（GPU）. The proposed GPU-FVCOM is tested against analytical solutions for two standard cases in a rectangular basin, a tide induced flow and a wind induced circulation. It is then applied to the Ningbo＇s coastal water area to simulate the tidal motion and analyze the flow field and the vertical tide velocity structure. The simulation results agree with the measured data quite well. The accelerated performance of the proposed 3-D model reaches 30 times of that of a single thread program, and the GPU-FVCOM implemented on a Tesla k20 device is faster than on a workstation with 20 CPU cores, which shows that the GPU-FVCOM is efficient for solving large scale sea area and high resolution engineering problems.
