Articles | Volume 16, issue 21
Model description paper
30 Oct 2023
Model description paper |  | 30 Oct 2023

Rapid Adaptive Optimization Model for Atmospheric Chemistry (ROMAC) v1.0

Jiangyong Li, Chunlin Zhang, Wenlong Zhao, Shijie Han, Yu Wang, Hao Wang, and Boguang Wang


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-90', Anonymous Referee #1, 03 Aug 2023
  • RC2: 'Comment on gmd-2023-90', Anonymous Referee #2, 15 Aug 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Hao Wang on behalf of the Authors (21 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (21 Sep 2023) by Yilong Wang
RR by Anonymous Referee #2 (21 Sep 2023)
ED: Publish subject to technical corrections (22 Sep 2023) by Yilong Wang
AR by Hao Wang on behalf of the Authors (25 Sep 2023)  Author's response   Manuscript 
Short summary
Photochemical box models, crucial for understanding tropospheric chemistry, face challenges due to slow computational efficiency with large chemical equations. The model introduced in this study, ROMAC, boosts efficiency by up to 96 % using an advanced atmospheric solver and an adaptive optimization algorithm. Moreover, ROMAC exceeds traditional box models in evaluating the impact of physical processes on pollutant concentrations.