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ISSN 1006-9895

CN 11-1768/O4

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基于骨架的线状对流系统客观量化识别算法研究
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作者单位:

1.国家气象中心;2.南京信息工程大学

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基金项目:

国家重点研发计划(2018YFC1506104、2018YFC1507506、2017YFC1502003),国家自然科学基金(41790471,41530427,41975054,41930967),中国科学院战略性先导科技专项(XDA20100304)


Research on skeleton-based objective quantization and identifying algorithm for quasi-linear convective systems
Author:
Affiliation:

1.National Meteorological Center;2.Key Laboratory of Meteorological Disaster,Ministry of Education / Joint International Research Laboratory of Climate and Environment Change / Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology

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    摘要:

    本文将计算机图形学骨架概念应用到气象学领域,发展了回波图像预处理、骨架修剪处理以及长宽比量化处理技术,该方法能自动识别出雷达回波拼图中符合气象学标准的线状对流系统(quasi-linear convective systems,QLCSs)。首先结合2016年黄淮地区一次双QLCSs过程给出了基于骨架的QLCSs客观量化算法的具体技术流程,然后利用该方法对2016年6月安徽地区的QLCSs进行客观筛选,并进一步量化识别QLCSs的移动特征,结合灾害天气实况与主观识别进行对比评估,结果表明:结合气象学标准改造的骨架图像识别算法,较好保留了气象回波形状信息,在准确量化对流系统长短轴的基础上,实现QLCSs的有效识别。而获得的量化移动矢量等特征,一方面可应用于致灾QLCSs的分类研究,为开展长序列统计及致灾机理分析提供个例识别方法和量化特征,另一方面也为QLCSs的短临监测预警业务提供新的思路。

    Abstract:

    In this paper, the concept of skeleton in Computer Graphics is applied to meteorology, such as echo image preprocessing, skeleton pruning and length-width ratio quantization techniques are developed. The quasi-linear convection systems (QLCSs) in radar echo mosaics conform to the meteorological standards can automatically be identified by this method. Firstly, the detailed identifying algorithm is introduced based on a double QLCSs process in Huang-Huai area in 2016. Then, the QLCSs in Anhui Province in June 2016 are objectively identified by this method, and the moving characteristics of QLCSs are quantitatively. The comparison between disastrous weather observation and subjective identification are carried out. The results show that the shape information of meteorological echo is well preserved by using skeleton image identifying algorithm and the effective identification of QLCSs is realized base on accurately quantifying the long and short axes of convection system. On the one hand, quantitative characteristics such as the moving vectors can be applied to the classification of disastrous QLCSs, providing identifying algorithm and quantitative features for long series statistics and mechanism analysis of disastrous weather, and on the other hand, it can provide new technique for monitoring and warning of QLCSs.

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  • 收稿日期:2019-09-10
  • 最后修改日期:2020-03-22
  • 录用日期:2020-04-28
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