Tracking and Short-Term Forecasting of Typhoon Structure

Jiayi Xu, Xuanxuan Huang, Xiaoyang Mao
{"title":"Tracking and Short-Term Forecasting of Typhoon Structure","authors":"Jiayi Xu, Xuanxuan Huang, Xiaoyang Mao","doi":"10.1109/NICOINT.2017.18","DOIUrl":null,"url":null,"abstract":"The tracking of wind field circulation is an important and difficult problem in typhoon forecasting. This paper studies how to catch the shape and intensity deformation characteristics of this type of severe weather system, which includes the wind field estimation and typhoon structure prediction in a short period of time. A correlation matching approach is used to retrieve typhoon wind field without the estimation of typhoon center. Firstly, an energy function is designed to dynamically restrain the tracking area instead of using a constant one. Then for each grid at previous time step, a corresponding one with maximum correlation coefficient at current time step is computed. The collection of these computed grid pairs reflects the movement of circulation structure and thus the wind field is obtained. Finally, a quality control is performed with total variation reconstruction to smooth the global wind field by eliminating local error data and filling missing data points with the average velocity in the neighborhood. With the computed wind field, the short-term forecasting of typhoon structure that represented by radar echo data is realized by the semi-Lagrangian advection approach. Experimental result shows that the proposed method could retrieve accurate and smooth typhoon wind field compared with observation data, or data computed with optical flow algorithm, and could predict relative accurate typhoon structure in 1 hour.","PeriodicalId":333647,"journal":{"name":"2017 Nicograph International (NicoInt)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Nicograph International (NicoInt)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NICOINT.2017.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The tracking of wind field circulation is an important and difficult problem in typhoon forecasting. This paper studies how to catch the shape and intensity deformation characteristics of this type of severe weather system, which includes the wind field estimation and typhoon structure prediction in a short period of time. A correlation matching approach is used to retrieve typhoon wind field without the estimation of typhoon center. Firstly, an energy function is designed to dynamically restrain the tracking area instead of using a constant one. Then for each grid at previous time step, a corresponding one with maximum correlation coefficient at current time step is computed. The collection of these computed grid pairs reflects the movement of circulation structure and thus the wind field is obtained. Finally, a quality control is performed with total variation reconstruction to smooth the global wind field by eliminating local error data and filling missing data points with the average velocity in the neighborhood. With the computed wind field, the short-term forecasting of typhoon structure that represented by radar echo data is realized by the semi-Lagrangian advection approach. Experimental result shows that the proposed method could retrieve accurate and smooth typhoon wind field compared with observation data, or data computed with optical flow algorithm, and could predict relative accurate typhoon structure in 1 hour.
台风结构的跟踪与短期预报
风场环流的跟踪是台风预报中的一个重要而又困难的问题。本文研究如何在短时间内捕捉该类恶劣天气系统的形状和强度变形特征,包括风场估计和台风结构预测。在不估计台风中心的情况下,采用相关匹配方法反演台风风场。首先,设计了一个能量函数来动态约束跟踪区域,而不是使用恒定的能量函数。然后对前一时间步长的每个网格,计算出当前时间步长相关系数最大的对应网格。这些计算网格对的集合反映了环流结构的运动,从而得到风场。最后,通过消除局部误差数据,并用邻域平均风速填充缺失数据点,对全局风场进行质量控制,使全局风场平滑。利用计算得到的风场,利用半拉格朗日平流方法实现了以雷达回波资料为代表的台风结构的短期预报。实验结果表明,与观测数据或光流算法计算的数据相比,该方法可以准确、平滑地检索台风风场,并能在1 h内相对准确地预测台风结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信