Articles | Volume 18, issue 5
https://doi.org/10.5194/gmd-18-1635-2025
https://doi.org/10.5194/gmd-18-1635-2025
Model evaluation paper
 | 
12 Mar 2025
Model evaluation paper |  | 12 Mar 2025

Updates and evaluation of NOAA's online-coupled air quality model version 7 (AQMv7) within the Unified Forecast System

Wei Li, Beiming Tang, Patrick C. Campbell, Youhua Tang, Barry Baker, Zachary Moon, Daniel Tong, Jianping Huang, Kai Wang, Ivanka Stajner, and Raffaele Montuoro

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2024-107', Anonymous Referee #1, 23 Jul 2024
  • RC2: 'Comment on gmd-2024-107', Anonymous Referee #2, 10 Sep 2024
  • AC1: 'Comment on gmd-2024-107', Wei Li, 06 Nov 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Wei Li on behalf of the Authors (06 Nov 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (16 Dec 2024) by Samuel Remy
RR by Anonymous Referee #1 (26 Dec 2024)
ED: Publish as is (15 Jan 2025) by Samuel Remy
AR by Wei Li on behalf of the Authors (17 Jan 2025)  Author's response   Manuscript 
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Short summary
The study describes the updates of NOAA's current UFS-AQMv7 air quality forecast model by incorporating the latest scientific and structural changes in CMAQv5.4. An evaluation during the summer of 2023 shows that the updated model overall improves the simulation of MDA8 O3 by reducing the bias by 8%–12% in the contiguous US. PM2.5 predictions have mixed results due to wildfire, highlighting the need for future refinements.
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