Articles | Volume 10, issue 11
https://doi.org/10.5194/amt-10-4403-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-10-4403-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Nov 2017
Research article |
| 17 Nov 2017
| 17 Nov 2017
Quantification of the effect of modeled lightning NO2 on UV–visible air mass factors
Joshua L. Laughner
Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA
Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA
Department of Earth and Planetary Sciences, University of California, Berkeley, Berkeley, CA 94720, USA
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Cited
16 citations as recorded by crossref.
- Role of Lightning NOx in Ozone Formation: A Review S. Verma et al. 10.1007/s00024-021-02710-5
- A comprehensive organic nitrate chemistry: insights into the lifetime of atmospheric organic nitrates A. Zare et al. 10.5194/acp-18-15419-2018
- Influence of convection on the upper-tropospheric O<sub>3</sub> and NO<sub><i>x</i></sub> budget in southeastern China X. Zhang et al. 10.5194/acp-22-5925-2022
- Improved Satellite Retrieval of Tropospheric NO2 Column Density via Updating of Air Mass Factor (AMF): Case Study of Southern China H. Mak et al. 10.3390/rs10111789
- Observations of Lightning NOx Production From GOES‐R Post Launch Test Field Campaign Flights D. Allen et al. 10.1029/2020JD033769
- 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
- Spaceborne Observations of Lightning NO2 in the Arctic X. Zhang et al. 10.1021/acs.est.2c07988
- Evaluation of version 3.0B of the BEHR OMI NO<sub>2</sub> product J. Laughner et al. 10.5194/amt-12-129-2019
- Estimates of lightning NO<sub><i>x</i></sub> production based on high-resolution OMI NO<sub>2</sub> retrievals over the continental US X. Zhang et al. 10.5194/amt-13-1709-2020
- Quantifying NOx Emissions from U.S. Oil and Gas Production Regions Using TROPOMI NO2 B. Dix et al. 10.1021/acsearthspacechem.1c00387
- 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
- Observed NO/NO2 Ratios in the Upper Troposphere Imply Errors in NO‐NO2‐O3 Cycling Kinetics or an Unaccounted NOx Reservoir R. Silvern et al. 10.1029/2018GL077728
- Observing U.S. Regional Variability in Lightning NO2 Production Rates J. Lapierre et al. 10.1029/2019JD031362
- Lightning NO<sub>2</sub> simulation over the contiguous US and its effects on satellite NO<sub>2</sub> retrievals Q. Zhu et al. 10.5194/acp-19-13067-2019
- The Berkeley High Resolution Tropospheric NO<sub>2</sub> product J. Laughner et al. 10.5194/essd-10-2069-2018
- Observations of Lightning NOx Production From Tropospheric Monitoring Instrument Case Studies Over the United States D. Allen et al. 10.1029/2020JD034174
16 citations as recorded by crossref.
- Role of Lightning NOx in Ozone Formation: A Review S. Verma et al. 10.1007/s00024-021-02710-5
- A comprehensive organic nitrate chemistry: insights into the lifetime of atmospheric organic nitrates A. Zare et al. 10.5194/acp-18-15419-2018
- Influence of convection on the upper-tropospheric O<sub>3</sub> and NO<sub><i>x</i></sub> budget in southeastern China X. Zhang et al. 10.5194/acp-22-5925-2022
- Improved Satellite Retrieval of Tropospheric NO2 Column Density via Updating of Air Mass Factor (AMF): Case Study of Southern China H. Mak et al. 10.3390/rs10111789
- Observations of Lightning NOx Production From GOES‐R Post Launch Test Field Campaign Flights D. Allen et al. 10.1029/2020JD033769
- 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
- Spaceborne Observations of Lightning NO2 in the Arctic X. Zhang et al. 10.1021/acs.est.2c07988
- Evaluation of version 3.0B of the BEHR OMI NO<sub>2</sub> product J. Laughner et al. 10.5194/amt-12-129-2019
- Estimates of lightning NO<sub><i>x</i></sub> production based on high-resolution OMI NO<sub>2</sub> retrievals over the continental US X. Zhang et al. 10.5194/amt-13-1709-2020
- Quantifying NOx Emissions from U.S. Oil and Gas Production Regions Using TROPOMI NO2 B. Dix et al. 10.1021/acsearthspacechem.1c00387
- 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
- Observed NO/NO2 Ratios in the Upper Troposphere Imply Errors in NO‐NO2‐O3 Cycling Kinetics or an Unaccounted NOx Reservoir R. Silvern et al. 10.1029/2018GL077728
- Observing U.S. Regional Variability in Lightning NO2 Production Rates J. Lapierre et al. 10.1029/2019JD031362
- Lightning NO<sub>2</sub> simulation over the contiguous US and its effects on satellite NO<sub>2</sub> retrievals Q. Zhu et al. 10.5194/acp-19-13067-2019
- The Berkeley High Resolution Tropospheric NO<sub>2</sub> product J. Laughner et al. 10.5194/essd-10-2069-2018
- Observations of Lightning NOx Production From Tropospheric Monitoring Instrument Case Studies Over the United States D. Allen et al. 10.1029/2020JD034174
Latest update: 14 Dec 2024
Short summary
NO2 (a gas that plays an important role in air quality) can be measured by satellite-based instruments. These measurements require a best guess of the vertical distribution of NO2 and are very sensitive to the changes in that distribution near the top of the troposphere (~ 12 km). NO2 concentrations at this altitude are strongly influenced by lightning; therefore, we study how different representations of lightning in models that provide that best guess affect the NO2 measured by satellites.
NO2 (a gas that plays an important role in air quality) can be measured by satellite-based...
