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中国沙漠 ›› 2010, Vol. 30 ›› Issue (5): 1207-1214.

• 天气与气候 • 上一篇    下一篇

金塔绿洲主要特征量的数值模拟

李万莉1,2, 吕世华1, 杨胜朋1, 傅慎明3, 符 睿4, 王大勇5   

  1. 1.中国科学院 寒区旱区环境与工程研究所, 甘肃 兰州 730000; 2.中国科学院 研究生院, 北京 100049; 3.中国科学院 大气物理研究所, 北京 100029; 4.云南省气象科学研究所, 云南 昆明 650034; 5.山西省气候中心, 山西 太原 030006
  • 收稿日期:2009-09-05 修回日期:2009-11-22 出版日期:2010-09-20 发布日期:2010-09-20

Numerical Simulation of Primary Atmospheric Boundary Characteristics in Jinta Oasis, Gansu

LI Wan-li1,2, L Shi-hua1, YANG Sheng-peng1, FU Shen-ming3, FU Rui4, WANG Da-yong5   

  1. 1.Cold and Arid Regions Environment and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China; 2.Graduate University of Chinese Academy of Sciences, Beijing 100049, China; 3.Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 4.Yunnan Institute of Meteorology, Kunming 650034, China; 5.Climate Center of Shanxi Provence, Taiyuan 030006, China
  • Received:2009-09-05 Revised:2009-11-22 Online:2010-09-20 Published:2010-09-20

摘要: 采用RAMS模式模拟了金塔绿洲非均匀地表的空气温度、湿度、风速、地表能量。结果表明,绿洲地表温度明显比周围戈壁和沙漠低,空气湿度明显比周围戈壁和沙漠大,近地层感热通量最大值约为戈壁和沙漠的1/3,近底层潜热通量比戈壁和沙漠大20倍左右。模拟结果与观测值的对比表明,RAMS对绿洲、戈壁和沙漠不同下垫面近地面温度、湿度、感热通量和潜热通量的模拟与实测基本一致。由于湍流的随机性,风速的模拟偏差比较大,这种偏差有一多半是由于非线性偏差造成的。

关键词: RAMS, 非均匀地表, 非线性偏差

Abstract: Air temperature, humidity, wind speed, surface energy over heterogeneous land surface in Jinta Oasis are simulated using RAMS. The results show that the near-surface temperature over oasis is obviously lower, and the near-surface atmospheric humidity over oasis is larger, compared with those over its surrounding Gobi and Desert. The sensible heat flux over oasis is only about 1/3 of that over Gobi and Desert, and the latent heat flux over oasis is 20 times larger than that over Gobi and Desert. Comparison of simulations and observations shows that the simulated air near-surface temperature, humidity, wind speed, sensible heat flux and latent heat flux are in agreement with the observed. The bias between simulated wind and observed wind velocity is relatively big because of randomicity of onflow, so the bias results mainly from nonlinear bias.

Key words: RAMS, heterogeneous land surface, nonlinear bias

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