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卫星图像可从太空视角观测地球表面云层与下垫面特征,静止气象卫星云图凭借其广视角及高时效观测能力,可实时动态呈现台风云系的初生、发展与移动轨迹。然而,现有台风可视化跟踪多基于二维平面云图,展现方式单一,难以满足后续研究对台风精细结构解析的需求。为此,文章采用三维重构技术,结合风云四号A星的云顶高度反演产品数据,将二维卫星图像快速转化为立体台风云系模型。所提出的方法有效突破了传统卫星云图的平面渲染局限性,支持从任意视角立体观察台风云层与云系的形态特征,并可集成多时次图像生成动态三维云图动画,以直观呈现台风演变过程。以2022—2023年20余个强台风为案例的实验表明,使用所提出的方法可成功且有效实现台风云系的高效三维重构。
Abstract:Satellite images observes cloud cover and underlying surface features of the Earth from a space perspective.Geostationary meteorological satellite cloud images,leveraging their broad coverage and high-temporal-resolution observation capability,enable dynamic visualization of the initiation,development,and trajectory of typhoon cloud systems in near real-time.However,existing typhoon tracking visualizations are predominantly based on two-dimensional cloud images,which offers limited presentation method and struggles to meet the demands of subsequent research for detailed structural analysis of typhoons.To address this limitation,this study employs three-dimensional reconstruction technology,integrating Fengyun-4 Asatellitederived cloud-top height retrieval products to rapidly transform two-dimensional satellite images into stereoscopic typhoon cloud system patterns.The proposed method effectively overcomes the planar rendering constraints of traditional satellite cloud images,allowing for stereoscopic observation morphological features of typhoon cloud layers and cloud systems from arbitrary viewpoints.It can also integrate multi-temporal images to generate dynamic three-dimensional cloud animations,providing an intuitive presentation of the typhoon's development process.Experimental results involving over 20 strong typhoons from 2022 to 2023 demonstrate the successful and efficient three-dimensional reconstruction of typhoon cloud systems using the proposed method.
[1]范天锡.气象卫星与卫星气象[M].北京:气象出版社,2014.
[2] CHUAI-AREE S,J?GER W,BOCK H G,et al.3D Cloud and Storm Reconstruction from Satellite Image[C]//Bock H G,Kostina E,Phu H X,et al.(Eds.)Modeling,Simulation and Optimization of Complex Processes.Berlin,Heidelberg:Springer,2008:187-206.
[3]刘志兴,王洪庆,苏德斌,等.立体云图和立体地形在电视天气预报中的应用[J].气象科技,1997,25(3):55-58.
[4]朱智,师春香,刘瑞霞,等.我国三维云融合分析业务系统(3DCloudA-V1.0)研制与开发[J].气象科技,2021,49(1):55-62.
[5]王清平,吴晓京,陈阳权,等.FY-4A卫星数据可视化及应用[J].气象科技,2019,47(3):502-507.
[6]刘瑞霞.卫星协同多源数据的三维云分析及在数值模式“热启动”中的应用研究[D].北京:中国科学院大学,2011.
[7]孙恺,徐晓刚.基于WorldWind平台的卫星云图模拟技术研究[J].科学技术与工程,2011,11(22):5328-5330.
[8]方建文,马文龙.图像云自动生成系统[J].微型电脑应用,2006,(5):31-34.
[9]张志清,陆风,方翔,等.FY-4卫星应用和发展[J].上海航天,2017,34(4):8-19.
[10] HU Y,ZHANG Y,YAN L,等.FY-4A AGRI热红外通道辐射定标的精确外场评估[J].气象科技进展,2021,11(1):77.
[11]张立鹏,智协飞,王佳,等.云顶高度和温度预报多方案对比检验与集成[J].气象科技,2018,46(6):1136-1146.
[12]杨军.气象卫星及其应用[M].北京:气象出版社,2012.
[13]杨忠东,刘健.气象卫星可见光红外光学成像仪发展沿革[J].应用气象学报,2016,27(5):592-603.
[14]张鹏,郭强,陈博洋,等.我国风云四号气象卫星与日本Himawari-8/9卫星比较分析[J].气象科技进展,2016,6(1):72-75.
[15]方建文,马文龙.图像云自动生成系统[J].微型电脑应用,2006,(5):31-34.
[16]和平鸽工作室.OpenGL高级编程与可视化系统开发-高级编程篇[M].2版.北京:中国水利水电出版社,2006.
基本信息:
中图分类号:P444;P412.27
引用信息:
[1]沙利.基于FY-4A气象卫星云图的台风三维重构[J].微型电脑应用,2025,41(11):300-304.
2025-11-20
2025-11-20