Impact of 4DVAR Assimilation of AIRS Total Column Ozone Observations on the Simulation of Hurricane

• 作 者: LIU Yin ZOU Xiaolei
• 机 构: Jiangsu Meteorological Observation Center,Nanjing 210009,China;Jiangsu Institute of Meteorological S
• 出 处: 第二届中国大地测量与地球物理学学术大会
• 发表日期: 2016年5期
• 关键词: numerical prediction of tropical cyclones AIRS total column ozone data assimilat

　　The Atmospheric Infrared Sounder(AIRS)provides twice-daily global observations of brightness temperature,which can be used to retrieve the total column ozone with high spatial and temporal resolution.In order to apply the AIRS ozone data to numerical prediction of tropical cyclones,a 4DVAR assimilation scheme on selected model levels is adopted and implemented in the mesoscale non-hydrostatic model MM5.