Articles | Volume 14, issue 6
https://doi.org/10.5194/gmd-14-3969-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-3969-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
29 Jun 2021
Model evaluation paper |
| 29 Jun 2021
| 29 Jun 2021
Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States
Xiaoyang Chen
Department of Civil and Environmental Engineering, Northeastern
University, Boston, MA 02115, USA
Yang Zhang
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Northeastern
University, Boston, MA 02115, USA
Kai Wang
Department of Civil and Environmental Engineering, Northeastern
University, Boston, MA 02115, USA
Daniel Tong
Department of Atmospheric, Oceanic and Earth Sciences, George Mason
University, Fairfax, VA 22030, USA
IM Systems Group, Rockville, MD 20852, USA
Pius Lee
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Center for Spatial Information Science and System, George Mason
University, Fairfax, VA 22030, USA
Youhua Tang
Center for Spatial Information Science and System, George Mason
University, Fairfax, VA 22030, USA
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Jianping Huang
National Oceanic and Atmospheric Administration/National Centers for
Environmental Prediction/Environmental Modeling Center, College Park, MD
20740, USA
IM Systems Group, Rockville, MD 20852, USA
Patrick C. Campbell
Center for Spatial Information Science and System, George Mason
University, Fairfax, VA 22030, USA
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Jeff Mcqueen
National Oceanic and Atmospheric Administration/National Centers for
Environmental Prediction/Environmental Modeling Center, College Park, MD
20740, USA
Havala O. T. Pye
Office of Research and Development, U.S. Environmental Protection
Agency, Research Triangle Park, NC 27711, USA
Benjamin N. Murphy
Office of Research and Development, U.S. Environmental Protection
Agency, Research Triangle Park, NC 27711, USA
Daiwen Kang
Office of Research and Development, U.S. Environmental Protection
Agency, Research Triangle Park, NC 27711, USA
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Cited
8 citations as recorded by crossref.
- Multi-scale concurrent modeling of air pollutants and greenhouse gases over greater Boston. Part 1: Methodology and meteorological evaluation Y. Yang & Y. Zhang https://doi.org/10.1016/j.uclim.2026.102777
- Operational chemical weather forecasting with the ECCC online Regional Air Quality Deterministic Prediction System version 023 (RAQDPS023) – Part 2: Multi-year prospective and retrospective performance evaluation M. Moran et al. https://doi.org/10.5194/gmd-19-4205-2026
- Global Trends in Air Pollution Modeling over Cities Under the Influence of Climate Variability: A Review W. Enciso-Díaz et al. https://doi.org/10.3390/environments12060177
- An Air Pollutants Prediction Method Integrating Numerical Models and Artificial Intelligence Models Targeting the Area around Busan Port in Korea H. Hong et al. https://doi.org/10.3390/atmos13091462
- Updates and evaluation of NOAA's online-coupled air quality model version 7 (AQMv7) within the Unified Forecast System W. Li et al. https://doi.org/10.5194/gmd-18-1635-2025
- PM2.5 assimilation within JEDI for NOAA's regional Air Quality Model (AQMv7): application to the September 2020 Western US wildfires H. Wang et al. https://doi.org/10.5194/gmd-19-2479-2026
- Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 P. Campbell et al. https://doi.org/10.5194/gmd-15-3281-2022
- Evaluation of Regional Atmospheric Models for Air Quality Simulations in the Winter Season in China F. Meng et al. https://doi.org/10.3390/atmos17010001
8 citations as recorded by crossref.
- Multi-scale concurrent modeling of air pollutants and greenhouse gases over greater Boston. Part 1: Methodology and meteorological evaluation Y. Yang & Y. Zhang https://doi.org/10.1016/j.uclim.2026.102777
- Operational chemical weather forecasting with the ECCC online Regional Air Quality Deterministic Prediction System version 023 (RAQDPS023) – Part 2: Multi-year prospective and retrospective performance evaluation M. Moran et al. https://doi.org/10.5194/gmd-19-4205-2026
- Global Trends in Air Pollution Modeling over Cities Under the Influence of Climate Variability: A Review W. Enciso-Díaz et al. https://doi.org/10.3390/environments12060177
- An Air Pollutants Prediction Method Integrating Numerical Models and Artificial Intelligence Models Targeting the Area around Busan Port in Korea H. Hong et al. https://doi.org/10.3390/atmos13091462
- Updates and evaluation of NOAA's online-coupled air quality model version 7 (AQMv7) within the Unified Forecast System W. Li et al. https://doi.org/10.5194/gmd-18-1635-2025
- PM2.5 assimilation within JEDI for NOAA's regional Air Quality Model (AQMv7): application to the September 2020 Western US wildfires H. Wang et al. https://doi.org/10.5194/gmd-19-2479-2026
- Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 P. Campbell et al. https://doi.org/10.5194/gmd-15-3281-2022
- Evaluation of Regional Atmospheric Models for Air Quality Simulations in the Winter Season in China F. Meng et al. https://doi.org/10.3390/atmos17010001
Saved (final revised paper)
Latest update: 11 Jun 2026
Short summary
The continuously updated National Air Quality Forecast Capability (NAQFC) provides air quality forecasts. To support the development of the next-generation NAQFC, we evaluate a prototype of GFSv15-CMAQv5.0.2. The performance and the potential improvements for the system are discussed. This study can provide a scientific basis for further development of NAQFC and help it to provide more accurate air quality forecasts to the public over the contiguous United States.
The continuously updated National Air Quality Forecast Capability (NAQFC) provides air quality...
