Articles | Volume 17, issue 22
https://doi.org/10.5194/amt-17-6659-2024
https://doi.org/10.5194/amt-17-6659-2024
Research article
 | 
25 Nov 2024
Research article |  | 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, Yubao Liu, Wei Han, Yuefei Zeng, Haofei Sun, Peilong Yu, and Lijian Zhu

Viewed

Total article views: 1,253 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
901 293 59 1,253 42 63 56
  • HTML: 901
  • PDF: 293
  • XML: 59
  • Total: 1,253
  • Supplement: 42
  • BibTeX: 63
  • EndNote: 56
Views and downloads (calculated since 04 Apr 2024)
Cumulative views and downloads (calculated since 04 Apr 2024)

Viewed (geographical distribution)

Total article views: 1,253 (including HTML, PDF, and XML) Thereof 1,228 with geography defined and 25 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 06 Jul 2025
Download
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.
Share