Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 19, issue 20
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.
https://doi.org/10.5194/acp-19-13067-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 20
Research article
 | 
23 Oct 2019
Research article |  | 23 Oct 2019

Lightning NO2 simulation over the contiguous US and its effects on satellite NO2 retrievals

Qindan Zhu, Joshua L. Laughner, and Ronald C. Cohen

Supplement

https://doi.org/10.5194/acp-19-13067-2019-supplement

Data sets

Berkeley High Resolution (BEHR) OMI NO2 v3.0C - Native pixels, daily profiles, UC Berkeley Dash, Dataset Q. Zhu, J. Laughner, and R. Cohen https://doi.org/10.6078/D1BM2B

Berkeley High Resolution (BEHR) OMI NO2 v3.0C - Gridded pixels, daily profiles, v3, UC Berkeley Dash, Dataset Q. Zhu, J. Laughner, and R. Cohen https://doi.org/10.6078/D16X1T

Model code and software

CohenBerkeleyLab/WRF-Chem-R2SMH: WRF-Chem code Q. Zhu and J. L. Laughner https://doi.org/10.5281/zenodo.2585381

CohenBerkeleyLab/BEHR-Core: BEHR Core code J. L. Laughner and Q. Zhu https://doi.org/10.5281/zenodo.998275

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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.
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