Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-3071-2019
© Author(s) 2019. 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-12-3071-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
18 Jul 2019
Development and technical paper |
| 18 Jul 2019
| 18 Jul 2019
Simulating lightning NO production in CMAQv5.2: evolution of scientific updates
National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Kenneth E. Pickering
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA
Dale J. Allen
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA
Kristen M. Foley
National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
David C. Wong
National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Rohit Mathur
National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Shawn J. Roselle
National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
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Cited
25 citations as recorded by crossref.
- Impact of Lightning NOx Emissions on Atmospheric Composition and Meteorology in Africa and Europe L. Menut et al. https://doi.org/10.3390/atmos11101128
- 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 X. Chen et al. https://doi.org/10.5194/gmd-14-3969-2021
- Source-specific bias correction of US background and anthropogenic ozone modeled in CMAQ T. Skipper et al. https://doi.org/10.5194/gmd-17-8373-2024
- Significant contributions of sea spray aerosol to vertical ClNO2 formation over coastal South China Y. Zhu et al. https://doi.org/10.1016/j.jes.2026.01.008
- The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation K. Appel et al. https://doi.org/10.5194/gmd-14-2867-2021
- Simulating lightning NO production in CMAQv5.2: performance evaluations D. Kang et al. https://doi.org/10.5194/gmd-12-4409-2019
- Examining the Impact of Dimethyl Sulfide Emissions on Atmospheric Sulfate over the Continental U.S. G. Sarwar et al. https://doi.org/10.3390/atmos14040660
- Volatile Chemical Product Enhancements to Criteria Pollutants in the United States K. Seltzer et al. https://doi.org/10.1021/acs.est.1c04298
- Improving the particle dry deposition scheme in the CMAQ photochemical modeling system Q. Shu et al. https://doi.org/10.1016/j.atmosenv.2022.119343
- Sensitivity of climate–chemistry model simulated atmospheric composition to the application of an inverse relationship between NOx emission and lightning flash frequency F. Pérez-Invernón et al. https://doi.org/10.5194/acp-25-5557-2025
- Introducing new lightning schemes into the CHASER (MIROC) chemistry–climate model Y. He et al. https://doi.org/10.5194/gmd-15-5627-2022
- Potential Errors in CMAQ NO:NO2 Ratios and Upper Tropospheric NO2 Impacting the Interpretation of TROPOMI Retrievals A. Lawal et al. https://doi.org/10.1021/acsestair.4c00198
- Lightning assimilation in the WRF model (Version 4.1.1): technique updates and assessment of the applications from regional to hemispheric scales D. Kang et al. https://doi.org/10.5194/gmd-15-8561-2022
- Representing particulate nitrate photolysis over seawater improves CMAQ ozone predictions over the contiguous United States G. Sarwar et al. https://doi.org/10.1016/j.scitotenv.2025.178968
- Quantifying lightning-generated NO contributions and vertical distribution impacts on atmospheric composition in the Pearl River Delta, China X. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108581
- Assessment of Airport-Related Emissions and Their Impact on Air Quality in Atlanta, GA, Using CMAQ and TROPOMI A. Lawal et al. https://doi.org/10.1021/acs.est.1c03388
- Estimating US Background Ozone Using Data Fusion T. Skipper et al. https://doi.org/10.1021/acs.est.0c08625
- Positive and negative influences of typhoons on tropospheric ozone over southern China Z. Chen et al. https://doi.org/10.5194/acp-21-16911-2021
- Utility of Geostationary Lightning Mapper-derived lightning NO emission estimates in air quality modeling studies P. Cheng et al. https://doi.org/10.5194/acp-24-41-2024
- Evaluation of 15 years of modeled atmospheric oxidized nitrogen compounds across the contiguous United States C. Toro et al. https://doi.org/10.1525/elementa.2020.00158
- LNOx Emission Model for Air Quality and Climate Studies Using Satellite Lightning Mapper Observations Y. Wu et al. https://doi.org/10.1029/2022JD037406
- Assessing the Impact of Lightning NOx Emissions in CMAQ Using Lightning Flash Data from WWLLN over the Contiguous United States D. Kang et al. https://doi.org/10.3390/atmos13081248
- Estimated Impacts of Prescribed Fires on Air Quality and Premature Deaths in Georgia and Surrounding Areas in the US, 2015–2020 K. Maji et al. https://doi.org/10.1021/acs.est.4c00890
- Significant ground-level ozone attributed to lightning-induced nitrogen oxides during summertime over the Mountain West States D. Kang et al. https://doi.org/10.1038/s41612-020-0108-2
- Influence of convection on the upper-tropospheric O3 and NOx budget in southeastern China X. Zhang et al. https://doi.org/10.5194/acp-22-5925-2022
25 citations as recorded by crossref.
- Impact of Lightning NOx Emissions on Atmospheric Composition and Meteorology in Africa and Europe L. Menut et al. https://doi.org/10.3390/atmos11101128
- 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 X. Chen et al. https://doi.org/10.5194/gmd-14-3969-2021
- Source-specific bias correction of US background and anthropogenic ozone modeled in CMAQ T. Skipper et al. https://doi.org/10.5194/gmd-17-8373-2024
- Significant contributions of sea spray aerosol to vertical ClNO2 formation over coastal South China Y. Zhu et al. https://doi.org/10.1016/j.jes.2026.01.008
- The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation K. Appel et al. https://doi.org/10.5194/gmd-14-2867-2021
- Simulating lightning NO production in CMAQv5.2: performance evaluations D. Kang et al. https://doi.org/10.5194/gmd-12-4409-2019
- Examining the Impact of Dimethyl Sulfide Emissions on Atmospheric Sulfate over the Continental U.S. G. Sarwar et al. https://doi.org/10.3390/atmos14040660
- Volatile Chemical Product Enhancements to Criteria Pollutants in the United States K. Seltzer et al. https://doi.org/10.1021/acs.est.1c04298
- Improving the particle dry deposition scheme in the CMAQ photochemical modeling system Q. Shu et al. https://doi.org/10.1016/j.atmosenv.2022.119343
- Sensitivity of climate–chemistry model simulated atmospheric composition to the application of an inverse relationship between NOx emission and lightning flash frequency F. Pérez-Invernón et al. https://doi.org/10.5194/acp-25-5557-2025
- Introducing new lightning schemes into the CHASER (MIROC) chemistry–climate model Y. He et al. https://doi.org/10.5194/gmd-15-5627-2022
- Potential Errors in CMAQ NO:NO2 Ratios and Upper Tropospheric NO2 Impacting the Interpretation of TROPOMI Retrievals A. Lawal et al. https://doi.org/10.1021/acsestair.4c00198
- Lightning assimilation in the WRF model (Version 4.1.1): technique updates and assessment of the applications from regional to hemispheric scales D. Kang et al. https://doi.org/10.5194/gmd-15-8561-2022
- Representing particulate nitrate photolysis over seawater improves CMAQ ozone predictions over the contiguous United States G. Sarwar et al. https://doi.org/10.1016/j.scitotenv.2025.178968
- Quantifying lightning-generated NO contributions and vertical distribution impacts on atmospheric composition in the Pearl River Delta, China X. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108581
- Assessment of Airport-Related Emissions and Their Impact on Air Quality in Atlanta, GA, Using CMAQ and TROPOMI A. Lawal et al. https://doi.org/10.1021/acs.est.1c03388
- Estimating US Background Ozone Using Data Fusion T. Skipper et al. https://doi.org/10.1021/acs.est.0c08625
- Positive and negative influences of typhoons on tropospheric ozone over southern China Z. Chen et al. https://doi.org/10.5194/acp-21-16911-2021
- Utility of Geostationary Lightning Mapper-derived lightning NO emission estimates in air quality modeling studies P. Cheng et al. https://doi.org/10.5194/acp-24-41-2024
- Evaluation of 15 years of modeled atmospheric oxidized nitrogen compounds across the contiguous United States C. Toro et al. https://doi.org/10.1525/elementa.2020.00158
- LNOx Emission Model for Air Quality and Climate Studies Using Satellite Lightning Mapper Observations Y. Wu et al. https://doi.org/10.1029/2022JD037406
- Assessing the Impact of Lightning NOx Emissions in CMAQ Using Lightning Flash Data from WWLLN over the Contiguous United States D. Kang et al. https://doi.org/10.3390/atmos13081248
- Estimated Impacts of Prescribed Fires on Air Quality and Premature Deaths in Georgia and Surrounding Areas in the US, 2015–2020 K. Maji et al. https://doi.org/10.1021/acs.est.4c00890
- Significant ground-level ozone attributed to lightning-induced nitrogen oxides during summertime over the Mountain West States D. Kang et al. https://doi.org/10.1038/s41612-020-0108-2
- Influence of convection on the upper-tropospheric O3 and NOx budget in southeastern China X. Zhang et al. https://doi.org/10.5194/acp-22-5925-2022
Saved (final revised paper)
Latest update: 17 Sep 2026
Short summary
Lightning strikes produce significant amount of nitrogen oxides and the resulting atmospheric chemistry causes one of the primary air pollutants, ground-level ozone, to change. In this paper, we documented the evolution of scientific updates for lightning-induced nitrogen oxides schemes in the CMAQ model. The updated observation-based schemes are good for retrospective applications, while the parameterized scheme can estimate lightning nitrogen oxides for applications without observations.
Lightning strikes produce significant amount of nitrogen oxides and the resulting atmospheric...
