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卫星导风资料对REM中尺度数值模拟的改进研究

Improvement Study on Cloud Drift Wind Data to REM Mesoscale Simulation

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【作者】 黄彦彬雷恒池郭学良杨有林王振会王治邦

【Author】 HUANG Yanbin1, 2,LEI Hengchi2,GUO Xueliang2,YANG Youling3WANG Zhenhui4,WANG Zhibang1(1. The Weather Modification office of Qinghai Province, Xining 810001, China; 2. Institute of Atmospheric Physics, ChineseAcademy of Sciences, Beijing 100029, China; 3. Meteorological Science Institute of Ningxia, Yinchuan750002, China;4. Department of Electronic Information and Applied Physics, Nanjing Institute of Meteorology, Nanjing 210044, China)

【机构】 青海省气象局人工影响天气办公室中国科学院大气物理研究所宁夏气象局科学研究所南京气象学院电子与应用物理系青海省气象局人工影响天气办公室 青海西宁 810001北京100029宁夏银川 750002江苏南京 210044青海西宁 810001

【摘要】 应用GMS-5静止气象卫星云图导出的风场产品—云迹风资料对REM中尺度η坐标有限区域数值模式的初始风场进行改进处理,模拟了2001年7月27~28日及8月16、18~19日共5天的降水过程,通过初始场的改进进行控制试验(CTE)和敏感性试验(STE)。研究结果表明,利用卫星云图导出的云迹风场资料,对中尺度数值模式的初始风场进行改进可以提高模拟精度,从而改善因测站稀疏造成的中小尺度系统漏报的不足,提高降水的预报精度。

【Abstract】 The wind field datacloud drift wind data were introduced by GMS 5 stationary satellite cloud image, which have been used to improve the initial wind field of limitedarea model of REM. Two rain processes over West China on 27, 28 July 2001 and three rainfall processes over East China on 16, 18, 19 August 2001 have been simulated. Both the control test experiment and sensitivity test experiment have been performed through the improvement of initial wind fields. The results show that the cloud drift wind data introduced by satellite cloud image can improve the initial wind fields of mesoscale numerical simulation, rise the simulation precision, and capture some meso and smallscale systems that are usually omited because of the observation station sparseness.

【基金】 国家重点基础研究发展规划项目(J1998040907 02 02)资助
  • 【文献出处】 高原气象 ,Plateau Meteorology , 编辑部邮箱 ,2003年06期
  • 【分类号】P456.7
  • 【被引频次】25
  • 【下载频次】176
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