基于多组件融合的WRF模式气象数据可视化的Web开发研究

发布时间：2018-04-03 18:26

本文选题：WebGL　切入点：多组件融合　出处：《南京信息工程大学》2017年硕士论文

【摘要】：WRF(Weather Research Forecast)模式是新一代中尺度天气预报模式[1]。NetCDF[2]是该模式的主要输出文件的格式。目前,处理NetCDF文件的气象分析软件很多,但这些软件都是客户端应用软件,都是给专业的气象科研工作者投入使用的,无法给广大的用户使用。此外,Excel还提供了第三方插件NetCDF.xlsm[3]件读取WRF模式的数据,其以表格的形式来显示NetCDF文件中的数据,但不能直接从表格中看出数据的本质规律。为了增强用户对WRF气象模式数据的直观性认识,方便用户并发访问、可视化并操作WRF模式系统输出的气象数据,我们将实现在网站上可视化WRF气象数据。本论文首先重点分析NetCDF的数据格式、文件读取方法以及数据存入数据库操作。接着对网站进行需求分析,确定网站的总体功能模块、具体功能实现模块、网站的设计流程、目标以及总体框架。然后研究数据可视化相关算法,稳定预测算法,并着重对PSO-SVR算法进行研究,仿真分析及应用,研究分析WebGL、NCL等可视化的方法及应用。最后基于SSH框架,使用WebGL、NCL等可视化技术,以2D图形技术绘制图表辅助历史气象数据可视化分析,使用Java Web多种技术开发可视化页面以及用户交互页面,来开发基于WRF模式气象数据的可视化展示和交互的网站。该网站包含多个数据可视化技术组件以及温度预测组件,使用该组件可以快速帮助用户可视化数据,并且用户可以有效地读取数据库中的气象数据并以图表形式进行历史气象数据分析,同时还能够帮助用户预测温度数据。以上完成了可视化WRF气象数据网站的开发。综上,该网站能够帮助气象研究员操作、分析WRF模式的气象数据,帮助用户可视化并操作气象数据,可以获取可视化后的气象数据来分析数据规律。
[Abstract]:The WRF(Weather Research forecasting model is a new generation of mesoscale weather forecast model [1]. NetCDF [2] is the main output file format of this model.At present, there are a lot of meteorological analysis software to deal with NetCDF files, but these softwares are all client application software, which are all put into use for professional meteorological researchers, and can not be used by the vast number of users.In addition, NetCDF.xlsm [3] provides a third party plug-in to read the data of the WRF schema, which displays the data in the NetCDF file in the form of tables, but the essential law of the data can not be seen directly from the tables.In order to enhance users' intuitive understanding of WRF meteorological model data, facilitate concurrent access, and visualize and operate meteorological data output from WRF model system, we will realize visualization of WRF meteorological data on the website.In this paper, the data format of NetCDF, the method of file reading and the operation of storing data into database are analyzed.Then the requirements of the website are analyzed to determine the overall function module of the website, the specific functional implementation module, the design process of the website, the goal and the overall framework.Then, the related algorithms of data visualization and stable prediction algorithm are studied, and the PSO-SVR algorithm is studied, simulated and applied, and the visualization methods and applications are analyzed.Finally, based on the SSH framework, the visualization technology, such as WebGL NCL, is used to draw the graph to aid the visualization analysis of historical meteorological data by 2D graphics technology, and the visual page and user interaction page are developed by using Java Web technology.To develop a visual display and interaction of meteorological data based on the WRF model.The site contains multiple data visualization technology components and temperature prediction components that can be used to quickly help users visualize data.Moreover, the user can effectively read the meteorological data from the database and analyze the historical meteorological data in the form of charts. At the same time, it can also help the user to predict the temperature data.Above has completed the visual WRF meteorological data website development.To sum up, the website can help meteorological researchers operate, analyze meteorological data of WRF model, help users visualize and operate meteorological data, and obtain visualized meteorological data to analyze the regularity of data.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P409;P456;TP393.09

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