• DocumentCode
    3113002
  • Title

    ATOVS data assimilation in two different heavy rainfalls

  • Author

    Guo, Rui ; Zhang, Guoping ; Li, Zechun ; Zhang, Linna

  • Author_Institution
    Beijing Meteorol. Bur., Beijing, China
  • fYear
    2011
  • fDate
    26-28 March 2011
  • Firstpage
    298
  • Lastpage
    305
  • Abstract
    Based on T213-SSI assimilation system, using ATOVS data from NOAA16, 17, an assimilation experiment was done. Three schemes was used to simulate two cases - the Sichuan and Chongqing heavy rainfall and the Huaihe Basin heavy rainfall. Comparing the different assimilation results draw a conclusion below: Assimilated ATOVS data by T213-SSI system is very useful in heavy rainfall forecasting. By continued assimilation, satellite data can improve Large-scale synoptic situation and the precipitation forecast, especially precipitation intensity. T213-SSI assimilation and forecast system showed more accurate in Huaihe basin than in Sichuan and Chongqing area on heavy rainfall forecast. After assimilation, all weather elements showed a greater improvement in Sichuan and Chongqing area than another. Different area, different rainfall systems need different data assimilation schemes to get a better result. In Huaihe basin, close to the sea, the heavy rainfall caused by frontogenesis with the high-level trough should be removed surface and low level channels data of the AMSU-A in assimilation. Sichuan and Chongqing has a complex terrain, and Qinghai-Tibet Plateau is lack of conventional observation data. So AMSU-A data which include surface and low level channels should be assimilated.
  • Keywords
    atmospheric techniques; data assimilation; rain; weather forecasting; AMSU-A data; ATOVS data assimilation; Huaihe Basin heavy rainfall; Sichuan and Chongqing heavy rainfall; T213-SSI assimilation system; frontogenesis; heavy rainfall forecasting; large-scale synoptic situation; precipitation forecast; precipitation intensity; satellite data; Atmospheric modeling; Data assimilation; Data models; Rain; Simulation; Weather forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9440-8
  • Type

    conf

  • DOI
    10.1109/ICIST.2011.5765257
  • Filename
    5765257