![]() Yu, L., Lu, A., Ribarsky, W., Chen, W.: Automatic animation for time-varying data visualization. Van Wijk, J.J.: Image based flow visualization for curved surfaces. Structural Design of Tall & Special Buildings. Huang, W.F., Sun, J.P.: Prediction of typhoon design wind speed with cholesky decomposition method. Hewson, T.D.: Objective identification of frontal wave cyclones. Hewson, T.D., Titley, H.A.: Objective identification, typing and tracking of the complete life-cycles of cyclonic features at high spatial resolution. 72, 55–73 (2010)Ĭrutcher, H.L.: On the standard vector-deviation wind rose. The frequency distribution of winds at a point in the free air. Academic Press (2011)īrooks, C.E.P., Durst, C.S., Carruthers, N.: Upper winds over the world: Part I. Wilks, D.S.: Statistical Methods in the Atmospheric Sciences, 3rd edn. Saucier, W.J.: Principles of Meteorological Analysis. International Journal of Geographical Information Science. Yusof, N., et al.: Interactive discovery of sequential patterns in time series of wind data. 12, 221–239 (2013)Įarth: a global map of wind, weather, and ocean conditions. Ware, C., Plumlee, M.D.: Designing a better weather display. Wang, S., Wu, B., Yadong, W.: Survey on Perception Enhanced Flow Visualization. National Defense Industry Press, China (2013) Sikun, L., Xun, C., et al.: Large-Scale Flow Field Scientific Visualization. Lefer, W., Jobard, B., Leduc, C.: High-quality animation of 2D steady vector fields. Liao, Z., et al.: Research on 3D visualization method of ocean wind field. In Proceedings of the Eurographics Workshop on Visualization in Scientific Computing, 45–55 (1997) Jobard, B., Lefer, W.: Creating evenly – spaced streamlines of arbitrary density. In ACM SIGGRAPH 96 Conference Proceesings, 453–460 (1996) Turk, G., Banks, D.: Image – guided streamline placement. Rolph, G., Stein, A., Stunder, B.: Real-time environmental applications and display system: READY. Tan, C., Fang, W.: Mapping the wind hazard of global tropical cyclones with parametric wind field models by considering the effects of local factors. (2016)Īrgüeso, D., Businger, S.: Wind power characteristics of Oahu, Hawaii. Mei, H.H., Chen, H.D., Zhao, X., et al.: Visualization system of 3D global scale meteorological data. Xuefeng, Z., Chu, P.C., Wei, L., et al.: Impact of Langmuir Turbulence on the Thermal Response of the Ocean Surface Mixed Layer to Supertyphoon Haitang 2005. Jian-wei, K., et al.: The mesoscale waves and the formation of polygonal Eye Wall in typhoon. Xue, L., et al.: The variation characteristics of the low-level wind field of tropical cyclones in the area near Hainan Island. By evaluating the user feedbacks for the proposed method, it can be known that compared to other wind visualization tools, this method boasts unique advantages in recognizing wind features and describing their spatio-temporal process evolution over a period of time continuously. Based on the data from Typhoon Jelawat, an experiment is designed to analyze the expression of spatio-temporal process of wind features, such as wind eye, wind circle, and so on. Then, a process-oriented spatio-temporal visualization method is provided to express the spatio-temporal continuous change process. To provide a solution to these problems, this study proposes a spatio-temporal visualization method of wind features from wind field data, which converts unified process-oriented representation to visualization with the help of visual coding. Besides, the changes in the wind field are mostly presented at a discrete time, which can not show continuous changes or the whole life cycle of wind features. Generally, wind field data at a certain time in a specific area are visualized directly, but have difficulties in discovering and understanding the wind features. Yet, it is difficult to have a quick understanding of the wind features by means of current visualization methods. The use of visualization tools to help meteorologists analyze and understand the spatio-temporal features and their process of storms quickly and intuitively is of far-reaching significance to the prediction of storm activities and the engagement in other work. ![]() The tracking and trending of the wind storm, as well as the spatio-temporal process changes of its key features, such as wind eye, eye-wall, and wind circle, have long been the researchers’ focuses. As a serious meteorological natural disaster, windstorm has caused great harm to people’s lives and property.
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