• DocumentCode
    2346989
  • Title

    Prediction of Heavy Radiation Fog in Nanjing-Zhenjiang Area Along Shanghai-Nanjing Expressway

  • Author

    Wu, Jianjun ; Tang, Hongsheng ; Tian, Xiaoyi ; Yuan, Chengsong

  • Author_Institution
    Nanjing Inst. of Transp. Meteorol., Jiangsu Meteorol. Bur., Nanjing, China
  • fYear
    2011
  • fDate
    15-19 April 2011
  • Firstpage
    890
  • Lastpage
    894
  • Abstract
    On the basis of the real-time observation data of 37 days´ heavy radiation fog from 2006 to 2009, taken from 9 stations along Maqun-Douzhuang of Ningzhen Hill Area, a part of Shanghai-Nanjing Expressway, radiation fog forecasting experiments were carried out in this study. The results are as follows: (1) According to the practical need of the Highway Administration, the visibility is divided into three levels:200-500 m, 50-200 m, <; 50 m. When Tdiff ≤ -3°C, the heavy radiation fog with visibility less than 50 m may occur before dawn with high possibility, while when Tdiff = 4 °C , the minimum visibility will be larger than 500 m; (2) The precipitation provides the major vapor source for the heavy radiation fog occurred, which can not come into being without the precipitation of yesterday and the day before yesterday; (3) The predicting significance of the relative humidity of 2 meters above the ground and 10 m wind, as predicted in the GFS mode.
  • Keywords
    atmospheric humidity; atmospheric radiation; fog; visibility; AD 2006 to 2009; China; GFS mode; Highway Administration; Maqun-Douzhuang; Ningzhen Hill Area; Shanghai-Nanjing Expressway; dew point; heavy radiation fog; radiation fog forecasting experiments; real-time observation data; relative humidity; vapor source; visibility; Cooling; Humidity; Indexes; Land surface temperature; Numerical models; Weather forecasting; Ningzhen Hill Area; dew point; heavy radiation fog;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-1-4244-9712-6
  • Electronic_ISBN
    978-0-7695-4335-2
  • Type

    conf

  • DOI
    10.1109/CSO.2011.204
  • Filename
    5957801