ZHAO Liang.Analysis of Radar Composite Shear Products in the Process of Tornado[J].Journal of Chengdu University of Information Technology,2017,(03):269-275.[doi:10.16836/j.cnki.jcuit.2017.03.007]
龙卷过程中雷达合成切变产品的分析
- Title:
- Analysis of Radar Composite Shear Products in the Process of Tornado
- 文章编号:
- 2096-1618(2017)03-0269-07
- Keywords:
- doppler weather radar; tornado; composite shear; least squares
- 分类号:
- TN959.4
- 文献标志码:
- A
- 摘要:
- 低空风切变是飞机起飞和着陆时最重要的危险因素,龙卷是低空风切变的一种,是由雷暴云底伸展至地面的漏斗状云产生的强风涡旋,龙卷位置和强度的识别对于飞行安全的保障有重要意义。使用最小二乘法根据多普勒天气雷达径向速度信息计算合成切变,进而对龙卷过程中的合成切变产品进行分析,得出以下结论:合成切变产品有助于识别龙卷所在位置,并能定量给出龙卷所在位置的风切变值。
- Abstract:
- Wind shear is the most important risk factors for take-off and landing, the tornado is a low-level wind shear, it is a vortex of strong winds produced by funnel clouds extending from the bottom of the storm cloud to the ground, Identify the position and intensity of the tornado has important significance to protect the safety of the flight. In this paper, using the least square method to calculate shear combination according to the Doppler weather radar radial velocity information, Further analysis of combined shear features in the process of the tornado, draw the following conclusions: combined shear products help to identify the location of the tornado, and tornados' wind shear are given quantitatively.
参考文献/References:
[1] 杨春凤,王荣,李新泉.影响航空飞行安全的气象要素探讨[J].现代农业科技,2010,(1).
[2] 俞小鼎,周小刚,王秀明.雷暴与强对流临近天气预报技术进展[J].气象学报,2012,(6).
[3] 郭虎道.低空风切变对飞行的影响[J].四川气象,2001,(9).
[4] 章澄昌.飞行气象学[M].北京:气象出版社,2000:179-187.
[5] 魏耀,张兴敢.多普雷天气雷达合成切变算法及改进方法的研究[J].电子与信息学报,2010,(1).
[6] 杜爱军.多普勒雷达退速度模糊及风切变的仿真与识别[D].南京:南京信息工程大学,2016.
[7] WILSON F W.Divergence estimation by single-Doppler radar[R].International Conference on the Aviation Weather system.1989:112-114.
[8] 中国人民解放军总参谋部气象局.多普勒天气雷达资料分析与应用[M].北京:解放军出版社,2000.
[9] 胡明宝,谈曙青,汤达章,等.单部多卜勒天气雷达探测低空风切变方法[J].南京气象学院学报,2008,23(1):113-118.
[10] 王珊珊.多普勒天气雷达合成切变模块设计[J].科技信息,2007,(18).
[11] 魏鸣,张明旭,张培昌,等.机载雷达风切变识别算法研究及在机场预报中的应用[J].大气科学学报,2014,(4).
[12] 王佑兵,万玉发.雷达体扫反射率场的自动质量控制[J].气象科技,2006,34(5).
[13] Zhang Jian,Wang Shunxin.An automated 2D multipass Doppler radar velocity dealiasing scheme[J].Atmos.Oceanic Techno.l,2006,23:1239-1248.
[14] 蔡亲波,颜琼丹.二维多路多普勒雷达风场自动退模糊算法应用研究[J].气象科学,2009(10).
[15] 何建新,姚振东,李飞,等.现代天气雷达[M].成都:电子科技大学出版社,2004.
[16] 俞小鼎,郑媛媛,张爱民,等.安徽一次强烈龙卷的多普勒天气雷达分析[J].高原气象,2006,(6).
相似文献/References:
[1]王翔弘,何建新,王 旭,等.太原CINRAD/CC雷达与X波段雷达观测一致性分析[J].成都信息工程大学学报,2018,(03):236.[doi:10.16836/j.cnki.jcuit.2018.03.003]
WANG Xiang-hong,HE Jian-xin,WANG Xu,et al.Observation Consistency Analysis of the Taiyuan CINRAD/CCWeather Radar and the X-band Radar[J].Journal of Chengdu University of Information Technology,2018,(03):236.[doi:10.16836/j.cnki.jcuit.2018.03.003]
[2]王海江,刘玟宏,邓洋洋,等.S 波段多普勒天气雷达回波模拟[J].成都信息工程大学学报,2016,(01):12.
WANG Hai-jiang,LIU Wen-hong,DENG Yang-yang,et al.S Band Doppler Weather Radar Echo Simulation[J].Journal of Chengdu University of Information Technology,2016,(03):12.
[3]张 双,张福贵,杨金红.负仰角观测对新一代天气雷达( CINRAD)
探测降水的意义[J].成都信息工程大学学报,2016,(01):49.
ZHANG Shuang,ZHANG Fu-gui,YANG Jin-hong.The Significance of Negative Elevation Observation to the
Precipitation of the New Generation Weather Radar[J].Journal of Chengdu University of Information Technology,2016,(03):49.
[4]蒋秋菲,王 旭,何建新,等.天气雷达遮挡区域识别[J].成都信息工程大学学报,2017,(05):469.[doi:10.16836/j.cnki.jcuit.2017.05.001]
JIANG Qiu-fei,WANG Xu,HE Jian-xin,et al.Identification of Weather Radar Shielding Region[J].Journal of Chengdu University of Information Technology,2017,(03):469.[doi:10.16836/j.cnki.jcuit.2017.05.001]
[5]洁拉曲铁,王海江,高梦青,等.基于蓝金模式下的中气旋与龙卷雷达回波模拟[J].成都信息工程大学学报,2020,35(01):36.[doi:10.16836/j.cnki.jcuit.2020.01.007]
JIELA Qutie,WANG Haijiang,GAO Mengqing,et al.Simulation of Radar Echo from Mesocyclones and Tornadoes based on Rankine Model[J].Journal of Chengdu University of Information Technology,2020,35(03):36.[doi:10.16836/j.cnki.jcuit.2020.01.007]
[6]周淑玥,李 静,鲜 林,等.基于数字高程模型和反射率因子垂直廓线的天气雷达波束遮挡订正算法[J].成都信息工程大学学报,2023,38(05):497.[doi:10.16836/j.cnki.jcuit.2023.05.001]
ZHOU Shuyue,LI Jing,XIAN Lin,et al.Weather Radar Beam Block Correction Algorithm based on DEM Model and Vertical Profile of Reflectivity[J].Journal of Chengdu University of Information Technology,2023,38(03):497.[doi:10.16836/j.cnki.jcuit.2023.05.001]
[7]沈邦跃,何建新,曾强宇.基于超分辨率的相控阵天气雷达数据压缩算法[J].成都信息工程大学学报,2023,38(06):621.[doi:10.16836/j.cnki.jcuit.2023.06.001]
SHEN Bangyue,HE Jianxin,ZENG Qiangyu.Data Compression Algorithm of Phased Array Weather Radar based on Super Resolution[J].Journal of Chengdu University of Information Technology,2023,38(03):621.[doi:10.16836/j.cnki.jcuit.2023.06.001]
[8]许 洋,李学华,王 俊,等.基于AD9361的天气雷达回波模拟与硬件系统[J].成都信息工程大学学报,2024,39(03):283.[doi:10.16836/j.cnki.jcuit.2024.03.004]
XU Yang,LI Xuehua,WANG Jun,et al.Weather Radar Echo Simulation and Hardware System based on AD9361[J].Journal of Chengdu University of Information Technology,2024,39(03):283.[doi:10.16836/j.cnki.jcuit.2024.03.004]
备注/Memo
收稿日期:2017-05-20