Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 5
Articles | Volume 18, issue 5
https://doi.org/10.5194/gmd-18-1635-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-1635-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 5
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

Supplement

https://doi.org/10.5194/gmd-18-1635-2025-supplement

Data sets

AirNow Data Manage Center United States Environmental Protection Agency https://files.airnowtech.org/

Model code and software

noaa-oar-arl/AQM: CMAQv5.4 Paper P. C. Campbell et al. https://doi.org/10.5281/zenodo.10833128

Development of the next-generation air quality prediction system in the Unified Forecast System framework: Enhancing predictability of wildfire air quality impacts (https://github.com/ufs-community/ufs-srweather-app/releases) J. Huang et al. https://doi.org/10.1175/BAMS-D-23-0053.1

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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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