机载气象雷达自适应危险天气预警方法仿真

doi:10.16182/j.issn1004731x.joss.201707023

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (7): 1572-1581.doi: 10.16182/j.issn1004731x.joss.201707023

机载气象雷达自适应危险天气预警方法仿真

王磊¹, 刘心刚², 魏鸣³

1. 中国气象局成都高原气象研究所/高原与盆地暴雨旱涝灾害四川省重点实验室,成都 610072;
2. 中国航空工业集团公司雷华电子技术研究所,无锡 214063;
3. 气象灾害预报预警与评估协同创新中心,南京信息工程大学,南京 210044

收稿日期:2016-07-11 发布日期:2020-06-01
作者简介:王磊(1983-),男,江苏南京,博士,高工,研究方向为大气遥感与灾害性天气预测;刘心刚(1979-),男,江苏张家港,学士,高工,研究方向为机载气象雷达。
基金资助:
航空科学基金(201320R2001)

Simulation of Adaptive Dangerous Weather Warning Method Based on Airborne Weather Radar

Wang Lei¹, Liu Xingang², Wei Ming³

1. Chengdu Institute of Plateau Meteorology, CMA/Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072, China;
2. Avic LEIHUA Electronic Technology Research Institute, Wuxi 214063, China;
3. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, NUIST, Nanjing 210044, China

Received:2016-07-11 Published:2020-06-01

摘要/Abstract

摘要： 提出一种适用于我国不同季节、经纬度和下垫面的机载气象雷达强风暴预警算法。基于地基天气雷达数据建立机载气象雷达探测强风暴仿真模型。利用改进的区域分割法和TITAN算法识别强风暴单体及其特征参数。按经纬度和下垫面将我国划分为16个特征区域(含东海和南海),获取这些区域冰雹强风暴雷达特征参数阈值,并给出危险天气预警算法。基于多个危险天气雷达实况数据,进行机载气象雷达强风暴天气预警仿真实验。仿真实验结果表明,该算法有助于飞行员快速判定危险天气,保障飞行安全。

关键词: 机载气象雷达, 自适应识别, 三维仿真, 超级单体风暴

Abstract: A kind of suitable airborne weather radar algorithm for different seasons, latitude and longitude and underlying surface in China was proposed. A simulation model of airborne weather radar for detecting strong storm weather based on the ground-based weather radar data was established. The improved algorithm of region segmentation and TITAN were used to identify strong storms and their characteristic parameters. China was divided into 16 climate characteristic regions (including East China Sea and South China Sea) per the latitude and longitude. The threshold of strong hail storm radar echo characteristic parameters in these areas was obtained, and the dangerous weather warning probability algorithm was given. The multiple dangerous weather radar data were used in airborne weather radar for the simulation experiments of detecting strong storm weather. Simulation results show that the algorithm can help the pilots to quickly determine dangerous weather and ensure flight safety.

Key words: airborne weather radar, adaptive recognition, three-dimensional simulation, super-cell storm

中图分类号:

P415.2

王磊, 刘心刚, 魏鸣. 机载气象雷达自适应危险天气预警方法仿真[J]. 系统仿真学报, 2017, 29(7): 1572-1581.

Wang Lei, Liu Xingang, Wei Ming. Simulation of Adaptive Dangerous Weather Warning Method Based on Airborne Weather Radar[J]. Journal of System Simulation, 2017, 29(7): 1572-1581.

参考文献

[1] 杨金红, 高玉春, 程明虎. 相控阵天气雷达与多普勒雷达的探测精度与探测能力对比研究[J]. 气象, 2008, 34(5): 44-51.
(Yang Jinhong, Gao Yuchun, Cheng Minghu.A Comparative Study of Detection Precision and Capacity between Phased Array Weather Radar and Doppler Weather Radar[J]. Meteorology (S1000-0526), 2008, 34(5): 44-51.)
[2] Klazura G, D Imy A. Description of The Initial Set of Analysis Products Available From The NEXRAD WSR-88D System[J]. Bull. Amer. Meteor. Soc.(S1558-8424), 1993, 74(4): 1293-1311.
[3] Dixon M, G Wiener. TITAN: Thunderstorm Identification, Tracking, Analysis and Nowcasting—a Radar Based Methodology[J]. J. Atmos. Oceanic Technol.(S0739-0572), 1993, 10(6): 785-797.
[4] Eilts M D, Johnson J T, Mitchell E D.Damaging Downburst Prediction and Detection Algorithm for the WSR2-88D[C]// 18th Conference on Severe Local Storms AMS, 1996: 541-545.
[5] 王芬, 李腹广. 多普勒天气雷达冰雹探测算法评估及检验改进[J]. 气象科技, 2009, 37(3): 345-348.
(Wang Fen, Li Fuguang.Assessment and Improvement of CINRAD/CD Hail Detection Algorithm[J]. Meteorological Science and Technology (S1671-6345), 2009, 37(3): 345-348.)
[6] 段勇, 贺敬安. 冰雹云雷达回波自动识别系统[J]. 成都信息工程学院学报, 2001, 16(2): 110-116.
(Duan Yong, He Jingan.Automatic Recognition System of Radar Echo for Hail Cloud[J]. Journal of Chengdu University of Information Technology (S1671-1742), 2001, 16(2): 110-116.)
[7] Lakshmanan V, Hondl K, Tumpf G.Quality control of WSR-88D data.Preprints[C]// 31st International Conference on Radar Meterology. Seattle, WA,USA: American Meteorological Society, 2003: 522-525.
[8] 彭霞云, 闵锦忠, 周振波. 单多普勒雷达反演风场的质量控制[J]. 南京气象学院学报, 2007, 30(1): 79-85.
(Peng Xiayun, Min Jinzhong, Zhou Zhenbo.Quality Control of Single Doppler Radar Derived Wind Field[J]. Journal of Nanjing Institute of Meteorology (S1674-7097), 2007, 30(1): 79-85.)
[9] 初晓军, 冯电春, 宋加怀. 机载雷达训练模拟器PPI显示的建模仿真[J]. 系统仿真学报, 2012, 24(5): 984-988.
(Chu Xiaojun, Feng Dianchun, Song Jiahuai.Modeling and Simulation of PPI Display of Airborne Radar Training Simulator[J]. Journal of System Simulation (S1004-731X), 2012, 24(5): 984-988.)
[10] 何磊, 朱宁, 雷永林. 基于UML的机载雷达功能建模[J]. 系统仿真学报, 2014, 26(5): 981-985.
(He Lei, Zhu Ning, Lei Yonglin.Functional Model of Airborne Radar Based on UML[J]. Journal of System Simulation (S1004-731X), 2014, 26(5): 981-985.)
[11] Qing Cao, Guifu Zhang, Robert D.Palmer, et al. Spectrum-Time Estimation and Processing for Improve Weather Radar Data Quality[J]. IEEE (S0018-926X), 2012, 50(11): 4670-4683.
[12] Vivek N Mahale, Guifu Zhang, Ming Xue.Fuzzy Logic Classification of S-Band Polarimetric Radar Echoes to Identify Three-Body Scattering and Improve Data Quality[J]. American Meteorological Society (S1558-8424), 2014, 53(8): 2017-2033.
[13] 晋立军, 李培仁, 李军霞, 等. 一次强降雹过程中垂直累积液态含水量的特征分析[J]. 高原气象, 2011, 29(5) : 1297-1301.
(Jin Lijun, Li Peiren, Li Junxia, et al.Analysis on Characteristic of Vertically Intergrated Liquid in a Severe Hail Shooting Process[J]. Plateau Meteorology (S1000-0534), 2011, 29(5): 1297-1301.)
[14] 张培昌, 杜秉玉, 戴铁丕. 雷达气象学 [M]. 北京:气象出版社, 2000: 173-185.
(Zhang Peichang, Du Binyu, Dai Tiepi.Radar Meteorology [M]. Beijing, China: China Meteorological Press, 2000: 173-185.)
[15] Wang H, Wei M, G.P Li S, et al. Analysisof Precipitable Water Vapor From GPS Measurements in Chengdu Region: Distribution and Evolution Characteristics in Autumn[J]. Advances in Space Research (S0273-1177), 2013, 52(4): 656-667.
[16] 杜文婷. 基于气象雷达数据对灾害性天气识别的算法研究 [D]. 南京: 南京信息工程大学, 2012: 28-43.
(Du Wenting.Research on Disaster Weather Recognition Algorithm based on Doppler Weather Radar Data [D]. Nanjing, China: Nanjing University of Information Science & Technology, 2012: 28-43.)
[17] 张秉祥, 李国翠, 刘黎平. 基于模糊逻辑的冰雹天气雷达识别算法[J]. 应用气象学报, 2014, 25(4): 415-426.
(Zhang Binxiang, Li Guocui, Liu Liping.Identification Method of Hail Weather based on Fuzzy-logical Principle[J]. Journal of Applied Meteorological Science (S1001-7313), 2014, 25(4): 415-426.)

机载气象雷达自适应危险天气预警方法仿真

Simulation of Adaptive Dangerous Weather Warning Method Based on Airborne Weather Radar

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 6

编辑推荐

Metrics

本文评价

[1]	周春辉, 周玲, 甘浪雄, 程小东, 高俊杰. 沿岸建筑物对VTS雷达的遮蔽建模与仿真[J]. 系统仿真学报, 2020, 32(2): 306-313.
[2]	陈玉涛, 王作群, 龙正伟, 张明蕊, 安青松, 陈桂兵. 基于多场耦合的共轨喷油器温度场仿真分析[J]. 系统仿真学报, 2019, 31(7): 1334-1341.
[3]	杜金莲, 尚鑫, 赵枫朝. 基于道路边界alpha-map的真实感道路实时绘制技术[J]. 系统仿真学报, 2017, 29(7): 1428-1435.
[4]	赵维, 茅坪, 沈凡宇. 下一代三维图形引擎发展趋势研究[J]. 系统仿真学报, 2017, 29(12): 2935-2944.
[5]	张军. 基于动态卫星云图的机载气象雷达视觉仿真方法[J]. 系统仿真学报, 2016, 28(6): 1344-1350.
[6]	许佳奕, 黄旋旋. 强风暴结构特征的识别与可视辅助分析[J]. 系统仿真学报, 2015, 27(11): 2701-2713.