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中国沙漠 ›› 2009, Vol. 29 ›› Issue (6): 1212-1220.

• 天气与气候 • 上一篇    下一篇

RAMS模式在山谷城市模拟性能的检验

杨胜朋1,2, 吕世华2, 陈玉春2, 奥银焕2,余 晔2, 王长友1   

  1. 1.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; 2.中国科学院 寒区旱区环境与工程研究所 西部气候环境与灾害实验室, 甘肃 兰州 730000
  • 收稿日期:2008-09-22 修回日期:2009-01-17 出版日期:2009-11-20 发布日期:2009-11-20

Test on Simulating Effect of RAMS Model in Valley-type City

YANG Sheng-peng1,2, LV Shi-hua2, CHEN Yu-chun2, AO Yin-huan2, YU Ye2, WANG Chang-you1   

  1. 1.Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science &Technology, Nanjing 210044, China; 2.Laboratory for Climate Environment and Disasters of Western China, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2008-09-22 Revised:2009-01-17 Online:2009-11-20 Published:2009-11-20

摘要: 利用2005年冬季兰州边界层试验的观测数据,分别从边界层结构、近地面温度和风速、地表通量等几个方面检验了RAMS在山谷城市的模拟性能。RAMS模式能很好地捕捉边界层结构特征,模拟的白天混合层高度和夜间稳定边界层高度和观测值非常一致。模式能较好地模拟近地面温度和地表通量的日变化特征。对模拟偏差进行统计分析,结果显示RAMS对近地面温度和风速的模拟结果是可以接受的:近地面温度的平均偏差为-1.73 ℃,RMSE为2.16 ℃,风速的平均偏差为0.35 m·s-1,RMSE和RMSVE分别为1.61 m·s-1和3.15 m·s-1。研究表明,RAMS适合作为研究兰州山谷城市大气边界层的工具。

关键词: 复杂地形, RAMS, 模式检验, 边界层结构, 地表通量

Abstract:

Simulation results from the Regional Atmosphere Modeling System (RAMS) were compared with observational data collected during the field experiment conducted in Lanzhou of Northwest China in December 2005. Simulation was carried out at a high horizontal resolution of 1 km under weak synoptic forcing, and from aspects of the boundary layer structure and the near surface variables over complex terrain. RAMS shows a reasonable ability to simulate the observed mixed-layer depth, surface temperature, and the diurnal variation of temperature and surface energy budget. The Mean Bias and RMSE for temperature is -1.73 ℃ and 2.16 ℃. The RMSE and RMSVE for surface wind are 1.61 m·s-1 and 3.15 m·s-1, respectively. Statistical analysis shows that the model performance is accepted for the studied area.

Key words: complex terrain, RAMS Model, test, boundary layer structure, surface energy budget

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