Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 15
Articles | Volume 18, issue 15
https://doi.org/10.5194/gmd-18-4855-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-4855-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 15
Development and technical paper
 | 
08 Aug 2025
Development and technical paper |  | 08 Aug 2025

Development of the CMA-GFS-AERO 4D-Var assimilation system v1.0 – Part 1: System description and preliminary experimental results

Yongzhu Liu, Xiaoye Zhang, Wei Han, Chao Wang, Wenxing Jia, Deying Wang, Zhaorong Zhuang, and Xueshun Shen

Viewed

Total article views: 913 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
720 139 54 913 80 35 68
  • HTML: 720
  • PDF: 139
  • XML: 54
  • Total: 913
  • Supplement: 80
  • BibTeX: 35
  • EndNote: 68
Views and downloads (calculated since 20 Nov 2024)
Cumulative views and downloads (calculated since 20 Nov 2024)

Viewed (geographical distribution)

Total article views: 913 (including HTML, PDF, and XML) Thereof 913 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Aug 2025
Download
Short summary
In order to investigate the feedbacks of chemical data assimilation on meteorological forecasts, we developed a strongly coupled aerosol–meteorology four-dimensional variational (4D-Var) assimilation system, CMA-GFS-AERO 4D-Var, based on the framework of the incremental analysis scheme of the China Meteorological Administration Global Forecasting System (CMA-GFS) operational global numerical weather model. The results show that assimilating BC (black carbon) observations can generate analysis increments not only for BC but also for atmospheric variables.
Read more
Share