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

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

doi:https://doi.org/10.5194/gmd-18-4855-2025

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

Supplement

https://doi.org/10.5194/gmd-18-4855-2025-supplement

Data sets

Development of the CMA-GFS-AERO 4D-Var assimilation system v1.0- Part 1: System description and preliminary experimental results Y. Liu et al. https://doi.org/10.5281/zenodo.14880420

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.