Articles | Volume 13, issue 4
Atmos. Meas. Tech., 13, 1709–1734, 2020
https://doi.org/10.5194/amt-13-1709-2020
Atmos. Meas. Tech., 13, 1709–1734, 2020
https://doi.org/10.5194/amt-13-1709-2020

Research article 07 Apr 2020

Research article | 07 Apr 2020

Estimates of lightning NOx production based on high-resolution OMI NO2 retrievals over the continental US

Xin Zhang et al.

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Cited articles

Acarreta, J. R., de Haan, J. F., and Stammes, P.: Cloud pressure retrieval using the O2-O2 absorption band at 477 nm, J. Geophys. Res., 109, 2165, https://doi.org/10.1029/2003JD003915, 2004. a, b, c
Allen, D. J., Pickering, K. E., Duncan, B. N., and Damon, M.: Impact of lightning NO emissions on North American photochemistry as determined using the Global Modeling Initiative (GMI) model, J. Geophys. Res., 115, 4711, https://doi.org/10.1029/2010JD014062, 2010. a
Allen, D. J., Pickering, K. E., Pinder, R. W., Henderson, B. H., Appel, K. W., and Prados, A.: Impact of lightning-NO on eastern United States photochemistry during the summer of 2006 as determined using the CMAQ model, Atmos. Chem. Phys., 12, 1737–1758, https://doi.org/10.5194/acp-12-1737-2012, 2012. a
Allen, D. J., Pickering, K. E., Bucsela, E. J., Krotkov, N., and Holzworth, R.: Lightning NOx Production in the Tropics as Determined Using OMI NO2 Retrievals and WWLLN Stroke Data, J. Geophys. Res.-Atmos., 124, 13498–13518, https://doi.org/10.1029/2018JD029824, 2019. a, b, c, d, e
Banerjee, A., Archibald, A. T., Maycock, A. C., Telford, P., Abraham, N. L., Yang, X., Braesicke, P., and Pyle, J. A.: Lightning NOx, a key chemistry–climate interaction: impacts of future climate change and consequences for tropospheric oxidising capacity, Atmos. Chem. Phys., 14, 9871–9881, https://doi.org/10.5194/acp-14-9871-2014, 2014. a
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Short summary
Lightning NOx has a strong impact on ozone and the hydroxyl radical production. However, the production efficiency of lightning NOx is still quite uncertain. This work develops the algorithm of estimating lightning NOx for both clean and polluted regions and evaluates the sensitivity of estimates to the model setting of lightning NO. Results reveal that our method reduces the sensitivity to the background NO2 and includes much of the below-cloud LNO2.