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气象:2022,48(1):61-72
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雷达资料在一次大范围冰雹天气过程中的同化试验分析
张小娟,张诚忠,齐大鹏,黄钰,朱文达
(贵州省人工影响天气办公室,贵阳 550081; 中国气象局广州热带海洋气象研究所/区域数值天气预报重点实验室,广州 510640; 贵州省冰雹防控技术工程中心,贵阳 550081; 贵州省气象台,贵阳 550002)
Analysis on the Experiments of Radar Data Assimilation in a Large-Range Hailstorm
ZHANG Xiaojuan,ZHANG Chengzhong,QI Dapeng,HUANG Yu,ZHU Wenda
(Weather Modification Office of Guizhou Province, Guiyang 550081; Institute of Tropical and Marine Meteorology/Key Laboratory of Regional Numerical Weather Prediction, CMA, Guangzhou 510640; Guizhou Hail Prevention and Control Technology Engineering Center, Guiyang 550081; Guizhou Meteorological Observatory, Guiyang 550002)
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投稿时间:2020-06-04    修订日期:2021-10-29
中文摘要: 基于华南区域高分辨率数值模式,采用牛顿连续松弛逼近法(nudging)同化C波段多普勒雷达反射率资料,针对2018年4月2日贵州一次大范围冰雹天气过程进行了数值模拟试验。分析结果表明:在模式中进行雷达反射率因子信息nudging同化后,调整了分析场中的水凝物信息和热力场结构,对流层中层的雨水和冰相粒子含量均增加,水凝物潜热释放加热了云体,对大气热力场进行了正温度扰动调整,这种正温度扰动在维持对流发展过程中起重要作用;通过云分析系统反演云微物理量,并nudging同化到模式中后,对雹云发展演变、雹云生命史、雹云强度都有明显改进,并促进了云中云水向冰相粒子的转化过程,同时对降水预报效果改善也有明显贡献。雷达反射率因子同化对冰雹云天气系统的预报能力有重要意义,为冰雹云的临近预报提供重要参考。
Abstract:An numerical simulation experiment was conducted on a large-scale hail weather process in Guizhou on 2 April 2018 to assimilate C-band Doppler radar reflectivity data by using the Newton continuous relaxation approximation method (nudging) based on the high-resolution numerical model in South China. The analysis results show that the hydrometeor information and the thermal field structure got adjusted after the nudging assimilated the radar reflectivity factor in the model. The content of rainwater and ice particles in the middle troposphere increased, and the latent heat release of the hydrometeor heated the cloud body and adjusted the positive temperature disturbance for the atmospheric thermal field. This kind of positive temperature disturbance plays an important role in maintaining the development of convection. The cloud analysis system was used in reversing the microphysical quantity, then the nudging assimilated the reverved cloud microphysical quantity into the initial field of the model. Thus, the hail cloud development and evolution, hail cloud life and hail cloud intensity have all improved significantly. The conversion process of cloud water to ice-phase particles in the cloud has been promoted, which has made a significant contribution to the improvement of precipitation forecast effect. Therefore, the assimilation of radar reflectivity factor is of great significance to the forecasting ability of the hail cloud weather system, and could provide an important reference for nowcasting hail clouds.
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基金项目:国家自然科学基金项目(41675099、41965010)、贵州省科技计划项目(黔科合支撑[2018]2369)、贵州省科技计划项目(黔科合基础-ZK[2021]一般217)和贵州省气象局重要业务科研项目(黔气标合ZY[2018]04)共同资助
引用文本:
张小娟,张诚忠,齐大鹏,黄钰,朱文达,2022.雷达资料在一次大范围冰雹天气过程中的同化试验分析[J].气象,48(1):61-72.
ZHANG Xiaojuan,ZHANG Chengzhong,QI Dapeng,HUANG Yu,ZHU Wenda,2022.Analysis on the Experiments of Radar Data Assimilation in a Large-Range Hailstorm[J].Meteor Mon,48(1):61-72.