Articles | Volume 15, issue 8
https://doi.org/10.5194/gmd-15-3281-2022
© Author(s) 2022. 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-15-3281-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
21 Apr 2022
Model description paper |
| 21 Apr 2022
| 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
CORRESPONDING AUTHOR
NOAA Air Resources Laboratory (ARL), College Park, MD, USA
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA, USA
Youhua Tang
NOAA Air Resources Laboratory (ARL), College Park, MD, USA
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA, USA
Pius Lee
NOAA Air Resources Laboratory (ARL), College Park, MD, USA
retired
Barry Baker
NOAA Air Resources Laboratory (ARL), College Park, MD, USA
Daniel Tong
NOAA Air Resources Laboratory (ARL), College Park, MD, USA
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA, USA
Rick Saylor
NOAA Air Resources Laboratory (ARL), College Park, MD, USA
Ariel Stein
NOAA Air Resources Laboratory (ARL), College Park, MD, USA
Jianping Huang
NOAA National Centers for Environmental Prediction (NCEP), College Park,
MD, USA
I.M. Systems Group Inc., Rockville, MD, USA
Ho-Chun Huang
NOAA National Centers for Environmental Prediction (NCEP), College Park,
MD, USA
I.M. Systems Group Inc., Rockville, MD, USA
Edward Strobach
NOAA National Centers for Environmental Prediction (NCEP), College Park,
MD, USA
I.M. Systems Group Inc., Rockville, MD, USA
Jeff McQueen
NOAA National Centers for Environmental Prediction (NCEP), College Park,
MD, USA
NOAA National Centers for Environmental Prediction (NCEP), College Park,
MD, USA
I.M. Systems Group Inc., Rockville, MD, USA
Ivanka Stajner
NOAA National Centers for Environmental Prediction (NCEP), College Park,
MD, USA
Jamese Sims
NOAA NWS/STI, College Park, MD, USA
Jose Tirado-Delgado
NOAA NWS/STI, College Park, MD, USA
Eastern Research Group, Inc. (ERG), College Park, MD, USA
Youngsun Jung
NOAA NWS/STI, College Park, MD, USA
Fanglin Yang
NOAA National Centers for Environmental Prediction (NCEP), College Park,
MD, USA
Tanya L. Spero
US Environmental Protection Agency, Research Triangle Park, NC, USA
Robert C. Gilliam
US Environmental Protection Agency, Research Triangle Park, NC, USA
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Cited
13 citations as recorded by crossref.
- Analysis of the GEFS-Aerosols annual budget to better understand aerosol predictions simulated in the model L. Pan et al. 10.5194/gmd-17-431-2024
- NOAA’s Global Forecast System Data in the Cloud for Community Air Quality Modeling P. Campbell et al. 10.3390/atmos14071110
- Enhancing Air Quality Forecasts Across the Contiguous United States (CONUS) During Wildfires Using Analog-Based Post-Processing Methods M. Golbazi et al. 10.1016/j.atmosenv.2023.120165
- Expedited modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the US H. Simon et al. 10.1016/j.dib.2024.111208
- Ozone pollution episodes and PBL height variation in the NYC urban and coastal areas during LISTOS 2019 Y. Wu et al. 10.1016/j.atmosenv.2023.120317
- Evaluation of the NAQFC driven by the NOAA Global Forecast System (version 16): comparison with the WRF-CMAQ during the summer 2019 FIREX-AQ campaign Y. Tang et al. 10.5194/gmd-15-7977-2022
- Associations between dust exposure and hospitalizations in a dust-prone city, Lubbock, TX, USA E. Herrera-Molina et al. 10.1007/s11869-023-01489-9
- Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States “Gigafire” P. Makkaroon et al. 10.1029/2022JD037298
- Updates and evaluation of NOAA's online-coupled air quality model version 7 (AQMv7) within the Unified Forecast System W. Li et al. 10.5194/gmd-18-1635-2025
- Unleashing the potential of geostationary satellite observations in air quality forecasting through artificial intelligence techniques C. Zhang et al. 10.5194/acp-25-759-2025
- High-resolution anthropogenic emission inventories with deep learning in northern South America F. Antezana Lopez et al. 10.1016/j.rse.2025.114761
- Air Quality Index Forecasting via Genetic Algorithm-Based Improved Extreme Learning Machine C. Liu et al. 10.1109/ACCESS.2023.3291146
- Air Quality Index Prediction using Bi-LSTM Y. Meesala et al. 10.38124/ijisrt/IJISRT24APR2035
13 citations as recorded by crossref.
- Analysis of the GEFS-Aerosols annual budget to better understand aerosol predictions simulated in the model L. Pan et al. 10.5194/gmd-17-431-2024
- NOAA’s Global Forecast System Data in the Cloud for Community Air Quality Modeling P. Campbell et al. 10.3390/atmos14071110
- Enhancing Air Quality Forecasts Across the Contiguous United States (CONUS) During Wildfires Using Analog-Based Post-Processing Methods M. Golbazi et al. 10.1016/j.atmosenv.2023.120165
- Expedited modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the US H. Simon et al. 10.1016/j.dib.2024.111208
- Ozone pollution episodes and PBL height variation in the NYC urban and coastal areas during LISTOS 2019 Y. Wu et al. 10.1016/j.atmosenv.2023.120317
- Evaluation of the NAQFC driven by the NOAA Global Forecast System (version 16): comparison with the WRF-CMAQ during the summer 2019 FIREX-AQ campaign Y. Tang et al. 10.5194/gmd-15-7977-2022
- Associations between dust exposure and hospitalizations in a dust-prone city, Lubbock, TX, USA E. Herrera-Molina et al. 10.1007/s11869-023-01489-9
- Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States “Gigafire” P. Makkaroon et al. 10.1029/2022JD037298
- Updates and evaluation of NOAA's online-coupled air quality model version 7 (AQMv7) within the Unified Forecast System W. Li et al. 10.5194/gmd-18-1635-2025
- Unleashing the potential of geostationary satellite observations in air quality forecasting through artificial intelligence techniques C. Zhang et al. 10.5194/acp-25-759-2025
- High-resolution anthropogenic emission inventories with deep learning in northern South America F. Antezana Lopez et al. 10.1016/j.rse.2025.114761
- Air Quality Index Forecasting via Genetic Algorithm-Based Improved Extreme Learning Machine C. Liu et al. 10.1109/ACCESS.2023.3291146
- Air Quality Index Prediction using Bi-LSTM Y. Meesala et al. 10.38124/ijisrt/IJISRT24APR2035
Latest update: 29 May 2025
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.
NOAA's National Air Quality Forecast Capability (NAQFC) continues to protect Americans from the...
