| WRF-EnSRF系统同化多普勒雷达资料在多类型强对流天气过程的数值试验 |
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| 引用本文： | 陈杰,闵锦忠,王世璋,王孝慈.WRF-EnSRF系统同化多普勒雷达资料在多类型强对流天气过程的数值试验[J].南京气象学院学报,2012(6):720-729. |
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| 作者姓名： | 陈杰 闵锦忠 王世璋 王孝慈 |
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| 作者单位： | [1]94701部队,安徽安庆246001 [2]南京信息工程大学气象灾害省部共建教育部重点实验室,江苏南京210044 |
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| 基金项目： | 公益性行业（气象）科研专项（GYHY（QX）200806029）;科技创新工程重大项目培育基金项目（708051）;国家自然科学基金资助项目（40975068） |
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| 摘 要： | 利用自主构建的基于风暴尺度的WRF—EnSRF（weather research and forecasting ensemble square root filter）系统同化实际多普勒雷达资料，检验该同化系统在包括飑线、超级单体风暴和多单体风暴3个不同结构类型的强对流天气过程的同化效果，并考察了初始场扰动时不同强度的位温和水汽扰动对集合离散度以及同化效果的影响。结果表明，在3个个例中该同化系统均表现出有效的同化能力，各分析结果均比较合理，径向速度和反射率因子分析的增量均方差在经过24min同化后分别下降到3～5m／s和10dBz，并维持至60min同化结束。预报场集合离散度和同化效果对热力场的扰动强度比较敏感，适当增加初始扰动时位温和水汽的扰动强度有利于提高集合离散度和改善径向速度的分析效果。
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| 关 键 词： | EnSRF 风暴尺度 多普勒雷达资料 |
A numerical experiment on WRF-EnSRF for assimilation of Doppler Radar data in multicase strong convective weather processes |
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| CHEN Jie,MIN Jin-zhong,WANG Shi-zhang,WANG Xiao-ci.A numerical experiment on WRF-EnSRF for assimilation of Doppler Radar data in multicase strong convective weather processes[J].Journal of Nanjing Institute of Meteorology,2012(6):720-729. |
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| Authors: | CHEN Jie MIN Jin-zhong WANG Shi-zhang WANG Xiao-ci |
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| Institution: | 1. Unit 94701, PLA, Anqing 246001, China; 2. Key Laboratory of Meteorological Disaster of Ministry of Education,NUIST ,Nanjing 210044 ,China) |
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| Abstract: | The effectiveness of the EnSRF（ensemble square root filter） data assimilation system in as similating Doppler radar data on convective scales is investigated for cases whose behaviors span super cellular,linear, and multicellular organizations. The impacts of potential temperature and water vapor at different levels on ensemble spread and assimilation effect during initial perturbations are also investiga ted. The EnSRF performs effectively and produces results of comparable quality for each of the cases. The root mean square innovations of radial velocity and reflectivity decrease to 35 m/s and about 10 dBz respectively after roughly 24 rain of assimilation and maintain the values throughout to the end of the 60 min period of assimilation. The ensemble spread and assimilation effect are sensitive to the mag nitude of perturbation in thermal field, which implies that larger ensemble spread and better radial veloc ity analysis can be obtained by increasing the standard deviation of potential temperature and water va por mix ratio aooroofiatelv durin initial terturbation |
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| Keywords: | EnSRF storm scale Doppler radar data |
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