Articles | Volume 23, issue 5
https://doi.org/10.5194/acp-23-3031-2023
© Author(s) 2023. 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-23-3031-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Variable effects of spatial resolution on modeling of nitrogen oxides
Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
Randall V. Martin
Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
Ronald C. Cohen
Department of Chemistry, University of California, Berkeley, Berkeley, CA, USA
Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA, USA
Liam Bindle
Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
Dandan Zhang
Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
Deepangsu Chatterjee
Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
Hongjian Weng
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
Jintai Lin
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
Viewed
Total article views: 2,828 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Nov 2022)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
2,326 | 453 | 49 | 2,828 | 138 | 50 | 63 |
- HTML: 2,326
- PDF: 453
- XML: 49
- Total: 2,828
- Supplement: 138
- BibTeX: 50
- EndNote: 63
Total article views: 2,356 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 07 Mar 2023)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,980 | 339 | 37 | 2,356 | 98 | 45 | 55 |
- HTML: 1,980
- PDF: 339
- XML: 37
- Total: 2,356
- Supplement: 98
- BibTeX: 45
- EndNote: 55
Total article views: 472 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Nov 2022)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
346 | 114 | 12 | 472 | 40 | 5 | 8 |
- HTML: 346
- PDF: 114
- XML: 12
- Total: 472
- Supplement: 40
- BibTeX: 5
- EndNote: 8
Viewed (geographical distribution)
Total article views: 2,828 (including HTML, PDF, and XML)
Thereof 2,775 with geography defined
and 53 with unknown origin.
Total article views: 2,356 (including HTML, PDF, and XML)
Thereof 2,345 with geography defined
and 11 with unknown origin.
Total article views: 472 (including HTML, PDF, and XML)
Thereof 430 with geography defined
and 42 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
9 citations as recorded by crossref.
- Spatial-and-local-aware deep learning approach for Ground-Level NO2 estimation in England with multisource data from satellite-based observations and chemical transport models S. Wang et al. 10.1016/j.jag.2025.104506
- Impact of Climate Variability and Change on the Surface Ozone Response to NOx Emissions Reductions E. Le Roy et al. 10.1021/acs.est.5c01347
- Advances in Simulating the Global Spatial Heterogeneity of Air Quality and Source Sector Contributions: Insights into the Global South D. Zhang et al. 10.1021/acs.est.2c07253
- Interpreting summertime hourly variation of NO2 columns with implications for geostationary satellite applications D. Chatterjee et al. 10.5194/acp-24-12687-2024
- Accurate space-based NOx emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes F. Cifuentes et al. 10.5194/gmd-18-621-2025
- Reactive nitrogen in and around the northeastern and mid-Atlantic US: sources, sinks, and connections with ozone M. Huang et al. 10.5194/acp-25-1449-2025
- Impact of Model Spatial Resolution on Global Geophysical Satellite-Derived Fine Particulate Matter D. Zhang et al. 10.1021/acsestair.4c00084
- Changing Responses of PM2.5 and Ozone to Source Emissions in the Yangtze River Delta Using the Adjoint Model W. Hu et al. 10.1021/acs.est.3c05049
- Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng 10.1016/j.oneear.2024.08.019
9 citations as recorded by crossref.
- Spatial-and-local-aware deep learning approach for Ground-Level NO2 estimation in England with multisource data from satellite-based observations and chemical transport models S. Wang et al. 10.1016/j.jag.2025.104506
- Impact of Climate Variability and Change on the Surface Ozone Response to NOx Emissions Reductions E. Le Roy et al. 10.1021/acs.est.5c01347
- Advances in Simulating the Global Spatial Heterogeneity of Air Quality and Source Sector Contributions: Insights into the Global South D. Zhang et al. 10.1021/acs.est.2c07253
- Interpreting summertime hourly variation of NO2 columns with implications for geostationary satellite applications D. Chatterjee et al. 10.5194/acp-24-12687-2024
- Accurate space-based NOx emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes F. Cifuentes et al. 10.5194/gmd-18-621-2025
- Reactive nitrogen in and around the northeastern and mid-Atlantic US: sources, sinks, and connections with ozone M. Huang et al. 10.5194/acp-25-1449-2025
- Impact of Model Spatial Resolution on Global Geophysical Satellite-Derived Fine Particulate Matter D. Zhang et al. 10.1021/acsestair.4c00084
- Changing Responses of PM2.5 and Ozone to Source Emissions in the Yangtze River Delta Using the Adjoint Model W. Hu et al. 10.1021/acs.est.3c05049
- Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng 10.1016/j.oneear.2024.08.019
Latest update: 07 Jun 2025
Short summary
Models are essential to diagnose the significant effects of nitrogen oxides (NOx) on air pollution. We use an air quality model to illustrate the variability of NOx resolution-dependent simulation biases; how these biases depend on specific chemical environments, driving mechanisms, and vertical variabilities; and how these biases affect the interpretation of satellite observations. High-resolution simulations are thus critical to accurately interpret NOx and its relevance to air quality.
Models are essential to diagnose the significant effects of nitrogen oxides (NOx) on air...
Altmetrics
Final-revised paper
Preprint