摘要
简要介绍了改进精细分辨率雷达所涉及的提高空间分辨率和智能化、快速扫描等技术。利用改进后的雷达精细分辨率数据和原始分辨率数据,对不同强天气类型的探测效果进行了对比分析,结果表明:精细分辨率数据可获得比原始分辨率数据更大的相对径向速度,辐合辐散和速度极值也更明显;获取更为清晰的超级单体结构以及龙卷涡旋特征和龙卷碎片特征等,更早识别出对流单体和雷暴云团;采用精细分辨率数据进行定量降水估计的精度与原始分辨率数据相当或略有提升。改进后精细分辨率数据具有更高的空间分辨率(双偏振)雷达观测特征,在对中小尺度强对流回波监测和识别的实际业务中具有较明显优势。
A new-generation of weather radar(CINRAD/SA Radar)at Zhuzilin,Shenzhen was partially upgraded in 2018.The highest resolution of detected data has been increased from 1°×250 m to the current 0.5°×125 m,and the body scanning time has been shortened from 6 min to 4 min.In 2019,a radar at Xiasha,Hangzhou increased the maximum resolution of detected data from 1°×250 m to the current 0.5°×62.5 m,and shortened the body scanning time from 6 min to 4 min.By comparing and analyzing the detection effects of processed fine resolution radar data and original resolution radar data for different severe convection weather types,it is known that finer spatial resolution of the fine resolution radar data,especially with the improvement of dual polarization radar,had obvious advantages on observation and identification of small-and medium-scale strong convective clouds,and during some processes it could identify convection monomer and thunder cloud earlier,and had some improvement effect on quantitative precipitation estimation,indicating significant improvement on the application of radar in routine operation and scientific analysis compared with ordinary resolution radars.
作者
王睿
伍志方
林青
张阿思
陈超
王明筠
孙召平
邢飞
侯中阳
WANG Rui;WU Zhifang;LIN Qing;ZHANG Asi;CHEN Chao;WANG Mingjun;SUN Zhaoping;XING Fei;HOU Zhongyang;无(Guangdong Meteorological Observatory(South China Sea Marine Weather Prediction Center),Guangzhou 510641 China;Guangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration,and Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,Guangzhou 510641,China;School of Atomspheric Sciences,Nanjing University,Nanjing 210023,China;Beijing Metstar Radar Co.,Ltd.,Beijing 100080,China;Jiangmen Meteorological Bureau,JiangmenGuangdong 529000,China)
出处
《热带气象学报》
CSCD
北大核心
2023年第3期323-336,共14页
Journal of Tropical Meteorology
基金
国家重点研发计划项目(2019YFC1510400、2018YFC1507501)
国家自然科学基金(41975138)
广东省自然科学基金(2022A1515011814、2020A1515010602)
广东省气象局技术创新团队(GRMCTD202002)
广东省气象局科学技术研究项目(GRMC2020Z03)
广东省重点领域研发计划项目(2020B1111200001)共同资助。
关键词
精细分辨率雷达
对流单体
中气旋
TVS
QPE
fine resolution radar data
ordinary resolution radar data
convection cell
mesocyclone
Tornado Vortex Signature(TVS)
Quantitative Precipitation Estimation(QPE)