Articles | Volume 21, issue 21
Atmos. Chem. Phys., 21, 16531–16553, 2021
https://doi.org/10.5194/acp-21-16531-2021
Atmos. Chem. Phys., 21, 16531–16553, 2021
https://doi.org/10.5194/acp-21-16531-2021
Research article
11 Nov 2021
Research article | 11 Nov 2021

Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign

Siqi Ma et al.

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Cited articles

Adhikary, B., Kulkarni, S., Dallura, A., Tang, Y., Chai, T., Leung, L. R., Qian, Y., Chung, C. E., Ramanathan, V., and Carmichael, G. R.: A regional scale chemical transport modeling of Asian aerosols with data assimilation of AOD observations using optimal interpolation technique, Atmos. Environ., 42, 8600–8615, https://doi.org/10.1016/j.atmosenv.2008.08.031, 2008. 
Baker, K. R., Liljegren, J., Valin, L., Judd, L. M., Henderson, B. H., Szykman, J., Al-Saadi, J. A., Janz, S. J., Sareen, N., and Possiel, N.: Model-Measurement Comparison of Ozone and Precursors Along Land-Water Interfaces during the 2017 LMOS and 2018 LISTOS Field Campaigns, AGUFM, A21E-06, 2019. 
Berkoff, T., Gronoff, G., Baker, B., Lee, P., Dreessen, J., and Sullivan, J.: Comparison of tropospheric ozone vertical profiles between NASA ozone lidars and NOAA's National Air Quality Forecasting Capability (NAQFC) model, AGUFM, 2019, A21E-02, https://doi.org/10.1016/j.atmosenv.2010.04.044, 2019. 
Borge, R., López, J., Lumbreras, J., Narros, A., and Rodríguez, E.: Influence of boundary conditions on CMAQ simulations over the Iberian Peninsula, Atmos. Environ., 44, 2681–2695, https://doi.org/10.1016/j.atmosenv.2010.04.044, 2010. 
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Short summary
Predicting high ozone gets more challenging as urban emissions decrease. How can different techniques be used to foretell the quality of air to better protect human health? We tested four techniques with the CMAQ model against observations during a field campaign over New York City. The new system proves to better predict the magnitude and timing of high ozone. These approaches can be extended to other regions to improve the predictability of high-O3 episodes in contemporary urban environments.
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