| Assimilation of the FY-4A AGRI Clear-Sky Radiance Data in a Regional Numerical Model and Its Impact on the Forecast of the “21·7” Henan Extremely Persistent Heavy Rainfall |
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| 作者姓名： | Lan XU Wei CHENG Zhongren DENG Juanjuan LIU Bin WANG Bin LU Shudong WANG Li DONG |
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| 作者单位： | 1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences;2. College of Earth and Planetary Sciences, University of Chinese Academy of Sciences;3. Beijing Institute of Applied Meteorology;4. Key Laboratory of Meteorological Disaster of Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC), Nanjing University of Information Science & Technology;5. Institute of Urban Meteorology,China Meteorological Administration;6. Public Meteorological Service Center,China Meteorological Administration |
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| 基金项目： | supported by the National Key R&D Program of China (Grant Nos. 2017YFC1501803 and 2017YFC1502102)； |
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| 摘 要： | Assimilation of the Advanced Geostationary Radiance Imager(AGRI) clear-sky radiance in a regional model is performed. The forecasting effectiveness of the assimilation of two water vapor(WV) channels with conventional observations for the “21·7” Henan extremely heavy rainfall is analyzed and compared with a baseline test that assimilates only conventional observations in this study. The results show that the 24-h cumulative precipitation forecast by the assimilation experiment with the addition ...
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