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

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

<p>Although air quality in the United States has improved remarkably in the past decades, ground-level ozone (O<span class="inline-formula"><sub>3</sub>)</span> often rises in exceedance of the national ambient air quality standard in nonattainment areas, incl...

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Bibliographic Details
Main Authors: S. Ma, D. Tong, L. Lamsal, J. Wang, X. Zhang, Y. Tang, R. Saylor, T. Chai, P. Lee, P. Campbell, B. Baker, S. Kondragunta, L. Judd, T. A. Berkoff, S. J. Janz, I. Stajner
Format: Article
Language:English
Published: Copernicus Publications 2021-11-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/21/16531/2021/acp-21-16531-2021.pdf

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https://acp.copernicus.org/articles/21/16531/2021/acp-21-16531-2021.pdf

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