Articles | Volume 19, issue 20
https://doi.org/10.5194/acp-19-13067-2019
© 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/acp-19-13067-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Oct 2019
Research article |
| 23 Oct 2019
| 23 Oct 2019
Lightning NO2 simulation over the contiguous US and its effects on satellite NO2 retrievals
Qindan Zhu
Department of Earth and Planetary Sciences, University of California, Berkeley, Berkeley, CA 94720, USA
Joshua L. Laughner
Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA
now at: Department of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA 91125, USA
Department of Earth and Planetary Sciences, University of California, Berkeley, Berkeley, CA 94720, USA
Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA
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Cited
17 citations as recorded by crossref.
- Direct Retrieval of NO 2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network C. Li et al. 10.34133/2022/9817134
- Assessment of Updated Fuel‐Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals M. Li et al. 10.1029/2021JD035484
- Background nitrogen dioxide (NO2) over the United States and its implications for satellite observations and trends: effects of nitrate photolysis, aircraft, and open fires R. Dang et al. 10.5194/acp-23-6271-2023
- The potential for geostationary remote sensing of NO2 to improve weather prediction X. Liu et al. 10.5194/acp-21-9573-2021
- On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes O. Montoya et al. 10.1007/s11356-020-08268-4
- LNOx Emission Model for Air Quality and Climate Studies Using Satellite Lightning Mapper Observations Y. Wu et al. 10.1029/2022JD037406
- Simulating the Transport and Rupture of Pollen in the Atmosphere T. Subba et al. 10.1029/2022MS003329
- Assessing and improving cloud-height-based parameterisations of global lightning flash rate, and their impact on lightning-produced NOx and tropospheric composition in a chemistry–climate model A. Luhar et al. 10.5194/acp-21-7053-2021
- Evaluating NOx emissions and their effect on O3 production in Texas using TROPOMI NO2 and HCHO D. Goldberg et al. 10.5194/acp-22-10875-2022
- Influence of convection on the upper-tropospheric O3 and NOx budget in southeastern China X. Zhang et al. 10.5194/acp-22-5925-2022
- Combining Machine Learning and Satellite Observations to Predict Spatial and Temporal Variation of near Surface OH in North American Cities Q. Zhu et al. 10.1021/acs.est.1c05636
- Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements V. Shah et al. 10.5194/acp-23-1227-2023
- Variable effects of spatial resolution on modeling of nitrogen oxides C. Li et al. 10.5194/acp-23-3031-2023
- Utility of Geostationary Lightning Mapper-derived lightning NO emission estimates in air quality modeling studies P. Cheng et al. 10.5194/acp-24-41-2024
- Estimates of lightning NOx production based on high-resolution OMI NO2 retrievals over the continental US X. Zhang et al. 10.5194/amt-13-1709-2020
- Role of Lightning NOx in Ozone Formation: A Review S. Verma et al. 10.1007/s00024-021-02710-5
- Observing U.S. Regional Variability in Lightning NO2 Production Rates J. Lapierre et al. 10.1029/2019JD031362
17 citations as recorded by crossref.
- Direct Retrieval of NO 2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network C. Li et al. 10.34133/2022/9817134
- Assessment of Updated Fuel‐Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals M. Li et al. 10.1029/2021JD035484
- Background nitrogen dioxide (NO2) over the United States and its implications for satellite observations and trends: effects of nitrate photolysis, aircraft, and open fires R. Dang et al. 10.5194/acp-23-6271-2023
- The potential for geostationary remote sensing of NO2 to improve weather prediction X. Liu et al. 10.5194/acp-21-9573-2021
- On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes O. Montoya et al. 10.1007/s11356-020-08268-4
- LNOx Emission Model for Air Quality and Climate Studies Using Satellite Lightning Mapper Observations Y. Wu et al. 10.1029/2022JD037406
- Simulating the Transport and Rupture of Pollen in the Atmosphere T. Subba et al. 10.1029/2022MS003329
- Assessing and improving cloud-height-based parameterisations of global lightning flash rate, and their impact on lightning-produced NOx and tropospheric composition in a chemistry–climate model A. Luhar et al. 10.5194/acp-21-7053-2021
- Evaluating NOx emissions and their effect on O3 production in Texas using TROPOMI NO2 and HCHO D. Goldberg et al. 10.5194/acp-22-10875-2022
- Influence of convection on the upper-tropospheric O3 and NOx budget in southeastern China X. Zhang et al. 10.5194/acp-22-5925-2022
- Combining Machine Learning and Satellite Observations to Predict Spatial and Temporal Variation of near Surface OH in North American Cities Q. Zhu et al. 10.1021/acs.est.1c05636
- Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements V. Shah et al. 10.5194/acp-23-1227-2023
- Variable effects of spatial resolution on modeling of nitrogen oxides C. Li et al. 10.5194/acp-23-3031-2023
- Utility of Geostationary Lightning Mapper-derived lightning NO emission estimates in air quality modeling studies P. Cheng et al. 10.5194/acp-24-41-2024
- Estimates of lightning NOx production based on high-resolution OMI NO2 retrievals over the continental US X. Zhang et al. 10.5194/amt-13-1709-2020
- Role of Lightning NOx in Ozone Formation: A Review S. Verma et al. 10.1007/s00024-021-02710-5
- Observing U.S. Regional Variability in Lightning NO2 Production Rates J. Lapierre et al. 10.1029/2019JD031362
Latest update: 14 May 2025
Short summary
Lightning NOx represents > 80 % of the NOx source in the upper troposphere. Despite its importance, lightning NOx is poorly understood. This work improves model performance in representing lighting NOx and reduces the uncertainty in satellite NO2 retrievals caused by poor representation of lightning NOx emissions in a priori assumptions.
Lightning NOx represents 80 % of the NOx source in the upper troposphere. Despite its...
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