The Dynamical Role of the Chesapeake Bay on the Local Ozone Pollution Using Mesoscale Modeling—A Case Study

dc.contributor.authorYang, Zhifeng
dc.contributor.authorDemoz, Belay
dc.contributor.authorDelgado, Ruben
dc.contributor.authorTangborn, Andrew
dc.contributor.authorLee, Pius
dc.contributor.authorSullivan, John T.
dc.date.accessioned2022-06-14T16:57:53Z
dc.date.available2022-06-14T16:57:53Z
dc.date.issued2022-04-19
dc.description.abstractThis study investigated the dynamic influence of the Chesapeake Bay (CB) on local ozone (O3) concentration and distribution using a weather forecasting model. The Weather Research and Forecasting model coupled with Chemistry (WRF–Chem) was employed to simulate O3 production and transportation near the CB. Baseline (water) as well as sensitivity (nowater) model experiments of bay circulation were carried out with and without bay water by changing the water surface from water to land (loam). First, the model performance simulating O3 was evaluated using the baseline experiment results and AirNow surface wind and O3 observations. The results showed that the model overestimates surface O3 by up to 20–30%. Further, the comparisons of the baseline and sensitivity experiments revealed higher O3 mixing ratios, primarily due to the resulting bay breeze circulation. These increases, after considering model overestimation, represent a mean bay dynamics circulation-induced contribution of up to 10% at night and 5% during the day. Furthermore, the boundary layer over northern CB, where it is at its narrowest width, was higher (by 1.2 km on average) during daytime due to higher surface temperatures observed. The boundary layer depth difference between the northern, central, and southern regions of the bay leads to a differential in the role of bay circulation dynamics in the observed O3 increase. The relatively wider swath of water surface over southern CB resulted in a lower boundary layer depth and stronger breeze circulation and this circulation contributed to O3 concentrations. Moreover, since the case selected has a minimal bay breeze circulation, the associated surface ozone enhancements represent what is expected at least at a minimum.en_US
dc.description.sponsorshipThe authors thank the High Performance Computing Facility (HPCF) at the University of Maryland, Baltimore County, for providing computing resources. This work was partly funded by the National Science Foundation award (AGS-1503563) to the University of Maryland, Baltimore County, and by a grant from the Maryland Department of Environment (MDE) to the University of Maryland, Baltimore County. B. Demoz and R. Delgado were also partially funded by the National Oceanic and Atmospheric Administration—Cooperative Science Center for Atmospheric Sciences and Meteorology (NOAA-NCAS-M) and the Center for Earth System Sciences and Remote Sensing Technologies (NOAA-CESSRST) under the Cooperative Agreement Grants #NA16SEC4810006 and #NA16SEC4810008, respectively. The WRF–Chem model is publicly available at: https://www2.mmm.ucar.edu/wrf/users/, accessed on 1 October 2019. The EPA AirNow measurements are publicly available at: https://www.airnowtech.org/index.cfm, accessed on 20 September 2020.en_US
dc.description.urihttps://www.mdpi.com/2073-4433/13/5/641/htmen_US
dc.format.extent20 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2zzul-aoli
dc.identifier.citationYang, Z.; Demoz, B.;Delgado, R.; Tangborn, A.; Lee, P.;Sullivan, J.T. The Dynamical Role ofthe Chesapeake Bay on the LocalOzone Pollution Using MesoscaleModeling—A Case Study. Atmosphere2022, 13, 641. https://doi.org/10.3390/atmos13050641Academic Editors: Rosa Fitzgeralden_US
dc.identifier.urihttps://doi.org/10.3390/atmos13050641
dc.identifier.urihttp://hdl.handle.net/11603/24914
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Physics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectUMBC High Performance Computing Facility (HPCF)
dc.titleThe Dynamical Role of the Chesapeake Bay on the Local Ozone Pollution Using Mesoscale Modeling—A Case Studyen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-0829-4379en_US
dcterms.creatorhttps://orcid.org/0000-0002-7133-2462en_US

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