An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application

Wang, Haibo; Yang, Ting; Wang, Zifa; Li, Jianjun; Chai, Wenxuan; Tang, Guigang; Kong, Lei; Chen, Xueshun

doi:https://doi.org/10.5194/gmd-15-3555-2022

Articles | Volume 15, issue 9

https://doi.org/10.5194/gmd-15-3555-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-3555-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 9

Development and technical paper

|

05 May 2022

Development and technical paper |

| 05 May 2022

An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application

Haibo Wang, Ting Yang, Zifa Wang, Jianjun Li, Wenxuan Chai, Guigang Tang, Lei Kong, and Xueshun Chen

Supplement

https://doi.org/10.5194/gmd-15-3555-2022-supplement

Data sets

NAQPMS-PDAF v1.0 (1.0) Haibo Wang and Ting Yang https://doi.org/10.5281/zenodo.6344181

Short summary

In this paper, we develop an online data coupled assimilation system (NAQPMS-PDAF) with the Eulerian atmospheric chemistry-transport model. NAQPMS-PDAF allows efficient use of large computational resources. The application and performance of the system are investigated by assimilating 1 month of vertical aerosol observations. The results show that NAQPMS-PDAF can significantly improve the performance of aerosol vertical structure simulation and reduce the uncertainty to a large extent.