主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2013, Vol. 29 ›› Issue (4): 47-53.doi:

• 论文 • 上一篇    下一篇

太原雾天能见度预报

管琴1  李青平 黄铃光 李杰3   

  1. 1.黄南州气象局,青海 同仁 811300;2.福建省气象台,福建 福州 350000;3. 四川省气象台,四川 成都 610072
  • 出版日期:2013-08-31 发布日期:2013-08-31

Visibility forecast of fog weather in Taiyuan

GUAN Qin 1 LI Qing-ping 1 HUANG Ling-guang 2 LI Jie3   

  1. 1. Huangnan State Meteorological Service, Tongren 811300, China; 2. FuJian Meteorological Observatory, Fuzhou 350000, China; 3. Sichuan Meteorological Observatory, Chengdu 610072, China
  • Online:2013-08-31 Published:2013-08-31

摘要: 利用中尺度数值预报模式MM5对山西省2009年发生的几场典型雾个例进行数值模拟。结果表明:模拟2 m温度比观测值偏低约2 ℃,相对湿度模拟结果比观测值偏大约15 %,10 m的模拟风速比观测的偏大0—2 m·s-1。山西省雾的预报指标为20 m液态水含量大于等于0.13 g·kg-1而小于0.60g·kg-1、20—1500 m高度大气层存在逆温层、地面风速小于4 m·s-1。利用太原测站日平均能见度、日平均相对湿度以及空气污染指数进行拟合建立太原能见度预报模型,并利用实测资料订正MM5、CAPPS模式预报误差,给出订正后的能见度预报方程并以两次实例对区域及太原雾天能见度预报表明该能见度预报模型有一定的适用性。

关键词: 能见度, 相对湿度, 液态水含量, 逆温, 风速, 空气污染指数

Abstract: Typical fog cases were simulated by the MM5 model in 2009 in Shanxi province. The results indicate that the simulated temperature at 2 m height is about 2 ℃ lower than the observed one; the simulated relative humidity is about 15% higher than the observed one; the simulated wind speed at 10 m height is about 0-2 m·s-1 greater than the observed one. The forecast indexes of fog include three conditions in Shanxi province, namely, the liquid water content at 20 m height is from 0.13 g·kg-1 to 0.60 g·kg-1; there exists a temperature inversion layer between 20 m and 1500 m heights; the surface wind speed at 10 m height is less than 4 m·s-1. A visibility forecast model is established by the daily mean visibility, relative humidity and air pollution index in Taiyuan. The forecast results of visibility by the MM5 and CAPPS are corrected using the observed data, and the revised forecast equation is developed. Two fog cases are forecasted using the revised equation, and it suggests that the model could be applied in Shanxi province.

Key words:  Visibility, Relative humidity, Liquid water content, Temperature inversion, Wind speed, Air pollution index