High-resolution air quality simulations of ozone exceedance events during the Lake Michigan Ozone Study

Autor: R. B. Pierce, M. Harkey, A. Lenzen, L. M. Cronce, J. A. Otkin, J. L. Case, D. S. Henderson, Z. Adelman, T. Nergui, C. R. Hain
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Atmospheric Chemistry and Physics, Vol 23, Pp 9613-9635 (2023)
Druh dokumentu: article
ISSN: 1680-7316
1680-7324
DOI: 10.5194/acp-23-9613-2023
Popis: We evaluate two high-resolution Lake Michigan air quality simulations during the 2017 Lake Michigan Ozone Study campaign. These air quality simulations employ identical chemical configurations but use different input meteorology. The AP-XM configuration follows the U.S. Environmental Protection Agency (EPA)-recommended modeling practices, whereas the YNT_SSNG employs different parameterization schemes and satellite-based inputs of sea surface temperatures, green vegetative fraction, and soil moisture and temperature. Overall, we find a similar performance in the model simulations of hourly and maximum daily average 8 h (MDA8) ozone, with the AP-XM and YNT_SSNG simulations showing biases of −11.42 and −13.54 ppbv (parts per billion by volume), respectively, during periods when the observed MDA8 was greater than 70 ppbv. However, for the two monitoring sites that observed high-ozone events, the AP-XM simulation better matched observations at Chiwaukee Prairie, and the YNT_SSNG simulation better matched observations at the Sheboygan Kohler-Andrae (KA) State Park. We find that the differences between the two simulations are largest for column amounts of ozone precursors, particularly NO2. Across three high-ozone events, the YNT_SSNG simulation has a lower NO2 column bias (0.17×1015 mol cm−2) compared to the AP-XM simulation (0.31×1015 mol cm−2). The YNT_SSNG simulation also has an advantage in that it better captures the structure of the boundary layer and lake breeze during the 2 June high-ozone event, although the timing of the lake breeze is about 3 h too early at Sheboygan. Our results are useful for informing an air quality modeling framework for the Lake Michigan area.
Databáze: Directory of Open Access Journals
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