Identification and Visual Analysis of Structure Characteristics of Severe Storm

Authors

Jiayi Xu, 1. Department of Computer Science, Hangzhou Dianzi University, Hangzhou 310018, China; ;
Xuanxuan Huang, 2. Ningbo Meteorology Bureau, Ningbo 315012, China;

Abstract

Abstract: A technique of adaptively extracting the feature regions from radar storm data was proposed based on the meteorological radar theory and historical statistics. A logical analysis strategy was proposed to identify convective cores, searched full convective regions to extract isolated storm cells. The changing of reflectivity data and corresponding gradient were analyzed to classify four typical structures. In order to accurately show the extracted spatial structures of storm cell, a parallel rendering framework was constructed by improving the ray-casting algorithm. Experiment results show that the proposed technique can quickly and accurately identify and visualize the spatial structure of sever storm, help forecaster to grasp the features and evolution of severe storm, and monitor and forecast disastrous weather effectively.

Recommended Citation

Xu, Jiayi and Huang, Xuanxuan (2020) "Identification and Visual Analysis of Structure Characteristics of Severe Storm," Journal of System Simulation: Vol. 27: Iss. 11, Article 12.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss11/12

First Page

2701

Revised Date

2014-09-16

DOI Link

https://doi.org/

Last Page

2713

CLC

TP391.9

Recommended Citation

Xu Jiayi, Huang Xuanxuan. Identification and Visual Analysis of Structure Characteristics of Severe Storm[J]. Journal of System Simulation, 2015, 27(11): 2701-2713.