Articles | Volume 23, issue 6
Research article
28 Mar 2023
Research article |  | 28 Mar 2023

Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations

Lei Shu, Lei Zhu, Juseon Bak, Peter Zoogman, Han Han, Song Liu, Xicheng Li, Shuai Sun, Juan Li, Yuyang Chen, Dongchuan Pu, Xiaoxing Zuo, Weitao Fu, Xin Yang, and Tzung-May Fu


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-744', Anonymous Referee #2, 31 Dec 2022
  • RC2: 'Comment on acp-2022-744', Anonymous Referee #1, 02 Jan 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Lei Shu on behalf of the Authors (01 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
EF by Daria Karpachova (05 Mar 2023)  Manuscript 
ED: Publish as is (06 Mar 2023) by Jianzhong Ma
AR by Lei Shu on behalf of the Authors (09 Mar 2023)
Short summary
We quantify the benefit of multisource observations (GEMS, LEO satellite, and surface) on ozone simulations in Asia. Data assimilation improves the monitoring of exceedance, spatial pattern, and diurnal variation of surface ozone, with the regional mean bias reduced from −2.1 to −0.2 ppbv. Data assimilation also better represents ozone vertical distributions in the middle to upper troposphere at low latitudes. Our results offer a valuable reference for future ozone simulations.
Final-revised paper