| 天气雷达反射率资料订正前后在ARPS模式中的同化试验对比 |
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| 引用本文： | 张晗昀,王振会,楚志刚,杨艳蓉,张蕾.天气雷达反射率资料订正前后在ARPS模式中的同化试验对比[J].气象科学,2018,38(1):57-65. |
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| 作者姓名： | 张晗昀 王振会 楚志刚 杨艳蓉 张蕾 |
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| 作者单位： | 南京信息工程大学 气象灾害预报预警与评估协同创新中心/中国气象局 气溶胶-云-降水重点实验室, 南京 210044;南京信息工程大学 大气物理学院, 南京 210044,南京信息工程大学 气象灾害预报预警与评估协同创新中心/中国气象局 气溶胶-云-降水重点实验室, 南京 210044;南京信息工程大学 大气物理学院, 南京 210044,南京信息工程大学 大气物理学院, 南京 210044,南京林业大学 生物与环境学院, 南京 210037,中国气象局 干部培训学院, 北京 100081 |
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| 基金项目： | 公益性行业（气象）科研专项（GYHY201306078）；国家自然科学基金资助项目（31400494）；江苏省自然科学基金资助项目（BK20140977） |
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| 摘 要： | 以TRMM/PR反射率资料作参照,对常州、南京天气雷达反射率资料进行一致性订正,再利用中尺度模式ARPS及其数据同化系统ADAS对订正前、后的天气雷达反射率因子进行同化,模拟2013年6月25日和2010年8月24日江苏地区两次暴雨过程。两次暴雨过程均包括3组试验:控制试验和雷达资料订正前、后的同化试验。结果表明:(1)雷达反射率因子的同化很好地改进了模式初始湿度场,使降水预报在分布和强度上更接近实况;(2)雷达资料的订正进一步改进了反射率因子同化试验,并且通过调整初始湿度场和上升运动场(调整作用主要体现在前2~3 h内)改善了对降水的模拟预报,其结果证明雷达反射率因子的订正改善了雷达资料的质量。
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| 关 键 词： | 雷达反射率因子 TRMM/PR订正 同化试验 |
| 收稿时间： | 2016/9/8 0:00:00 |
| 修稿时间： | 2017/3/9 0:00:00 |
Corrected and original weather radar reflectivity data assimilation in numerical model ARPS |
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| ZHANG Hanyun,WANG Zhenhui,CHU Zhigang,YANG Yanrong and ZHANG Lei.Corrected and original weather radar reflectivity data assimilation in numerical model ARPS[J].Scientia Meteorologica Sinica,2018,38(1):57-65. |
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| Authors: | ZHANG Hanyun WANG Zhenhui CHU Zhigang YANG Yanrong and ZHANG Lei |
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| Institution: | Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, CMA Key Laboratory for Aerosol-Cloud-Precipitation, Nanjing University of Information Science & Technology, Nanjing 210044, China;Institute of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, CMA Key Laboratory for Aerosol-Cloud-Precipitation, Nanjing University of Information Science & Technology, Nanjing 210044, China;Institute of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China,Institute of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China,College of Biology and Environment, Nanjing Forestry University, Nanjing 210037, China and CMA Training Centre(CMATC), Beijing 100081, China |
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| Abstract: | Taking advantage of reflectivity from the Precipitation Radar(PR) onboard the Tropical Rainfall Measuring Mission(TRMM) to calibrate weather radar at Changzhou and Nanjing. Reflectivity are added directly to the mesoscale model Advanced Regional Prediction System(ARPS) by its data processing system ARPS Data Analysis System(ADAS) of simulating two rainstorm process around Jiangsu Province. Each process includes three experiments:the control experiment, original and corrected reflectivity separately assimilated experiment. Results show that:(1)Reflectivity data assimilation improved the initial moisture field, and the rainfall prediction(rainfall area and precipitation) was more close to observation data. (2)Corrected reflectivity assimilation adjusted initial moisture field and ascending motion(The adjustment effect is mainly reflected in the first 2 to 3 hours), and improved the rainfall prediction than original reflectivity assimilation. The correction of radar reflectivity data has improved quality of the radar data. |
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| Keywords: | Radar reflectivity factor TRMM/PR correction Assimilation experiment |
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