Articles | Volume 15, issue 8
Geosci. Model Dev., 15, 3281–3313, 2022
https://doi.org/10.5194/gmd-15-3281-2022
Geosci. Model Dev., 15, 3281–3313, 2022
https://doi.org/10.5194/gmd-15-3281-2022
Model description paper
21 Apr 2022
Model description paper | 21 Apr 2022

Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16

Patrick C. Campbell et al.

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Cited articles

Alexander, B., Park, R. J., Jacob, D. J., and Gong, S.: Transition metal-catalyzed oxidation of atmospheric sulfur: global implications for the sulfur budget, J. Geophys. Res., 114, D02309, https://doi.org/10.1029/2008JD010486, 2009. 
American Lung Association: Urban air pollution and health inequities: a workshop report, Environ Health Perspect., 109 Suppl 3, 357–374, PMID: 11427385, PMCID: PMC1240553, https://doi.org/10.2307/3434783, 2001. 
Appel, K. W., Gilliam, R.C., Davis, N., Zubrow, A., and Howard, S. C.: Overview of the atmospheric model evaluation tool (amet) v1.1 for evaluating meteorological and air quality models, Environ. Model. Softw., 26 434–443, https://doi.org/10.1016/j.envsoft.2010.09.007, 2011. 
Astitha, M., Luo, H., Rao, S. T., Hogrefe, C., Mathur, R., and Kumar, N.: Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States, Atmos. Environ., 164, 102–116, https://doi.org/10.1016/j.atmosenv.2017.05.020, 2017. 
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Short summary
NOAA's National Air Quality Forecast Capability (NAQFC) continues to protect Americans from the harmful effects of air pollution, while saving billions of dollars per year. Here we describe and evaluate the development of the most advanced version of the NAQFC to date, which became operational at NOAA on 20 July 2021. The new NAQFC is based on a coupling of NOAA's operational Global Forecast System (GFS) version 16 with the Community Multiscale Air Quality (CMAQ) model version 5.3.1.