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: 4,149 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,212 807 130 4,149 205 118 194
  • HTML: 3,212
  • PDF: 807
  • XML: 130
  • Total: 4,149
  • Supplement: 205
  • BibTeX: 118
  • EndNote: 194
Views and downloads (calculated since 20 Nov 2024)
Cumulative views and downloads (calculated since 20 Nov 2024)

Viewed (geographical distribution)

Total article views: 4,149 (including HTML, PDF, and XML) Thereof 4,044 with geography defined and 105 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 25 Jun 2026
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