Exploring the characteristics of Fengyun-4A Advanced Geostationary Radiation Imager (AGRI) visible reflectance using the China Meteorological Administration Mesoscale (CMA-MESO) forecasts and its implications for data assimilation
Key Laboratory of Meteorological Disaster of Ministry of Education, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, China
Haofei Sun
Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, China
Peilong Yu
Key Laboratory of Meteorological Disaster of Ministry of Education, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, China
College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China
Key Laboratory of High Impact Weather (Special), China Meteorological Administration, Changsha, China
Lijian Zhu
Shanghai Typhoon Institute of the China Meteorological Administration, Shanghai, China
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Total article views: 2,461 (including HTML, PDF, and XML)
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Total article views: 1,689 (including HTML, PDF, and XML)
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Total article views: 772 (including HTML, PDF, and XML)
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The study explored differences between the visible reflectance provided by the Fengyun-4A satellite and its equivalent derived from the China Meteorological Administration Mesoscale model using a forward operator. The observation-minus-simulation biases were able to monitor the performance of the satellite visible instrument. The biases were corrected based on a first-order approximation method, which promotes the data assimilation of satellite visible reflectance in real-world cases.
The study explored differences between the visible reflectance provided by the Fengyun-4A...
