Articles | Volume 17, issue 22
https://doi.org/10.5194/amt-17-6659-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-6659-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Nov 2024
Research article |
| 25 Nov 2024
| 25 Nov 2024
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
Yongbo Zhou
School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, China
Precision Regional Earth Modeling and Information Center (PREMIC), Nanjing University of Information Science & Technology, Nanjing, China
Yubao Liu
CORRESPONDING AUTHOR
School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, China
Precision Regional Earth Modeling and Information Center (PREMIC), Nanjing University of Information Science & Technology, Nanjing, China
CMA Earth System Modeling and Prediction Centre (CEMC), Beijing, China
State Key Laboratory of Severe Weather (LaSW), Beijing, China
Yuefei Zeng
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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Short summary
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...
