Variable effects of spatial resolution on modeling of nitrogen oxides

Li, Chi; Martin, Randall V.; Cohen, Ronald C.; Bindle, Liam; Zhang, Dandan; Chatterjee, Deepangsu; Weng, Hongjian; Lin, Jintai

doi:https://doi.org/10.5194/acp-23-3031-2023

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.

https://doi.org/10.5194/acp-23-3031-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 5

Research article

|

07 Mar 2023

Research article |

| 07 Mar 2023

Variable effects of spatial resolution on modeling of nitrogen oxides

Chi Li, Randall V. Martin, Ronald C. Cohen, Liam Bindle, Dandan Zhang, Deepangsu Chatterjee, Hongjian Weng, and Jintai Lin

Supplement

https://doi.org/10.5194/acp-23-3031-2023-supplement

Data sets

geoschem/GCHP: GCHP 13.2.1 (13.2.1) The International GEOS-Chem User Community https://doi.org/10.5281/zenodo.5500718

Copernicus Sentinel-5P TROPOMI Version 2 Level-2 Products NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) https://tropomi.gesdisc.eosdis.nasa.gov/data/S5P_TROPOMI_Level2

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Short summary

Models are essential to diagnose the significant effects of nitrogen oxides (NO_x) on air pollution. We use an air quality model to illustrate the variability of NO_x 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 NO_x and its relevance to air quality.