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dc.contributor.authorSullivan, John T.
dc.contributor.authorBerkoff, Timothy
dc.contributor.authorGronoff, Guillaume
dc.contributor.authorKnepp, Travis
dc.contributor.authorPippin, Margaret
dc.contributor.authorAllen, Danette
dc.contributor.authorTwigg, Laurence
dc.contributor.authorSwap, Robert
dc.contributor.authorTzortziou, Maria
dc.contributor.authorThompson, Anne M.
dc.contributor.authorStauffer, Ryan M.
dc.contributor.authorWolfe, Glenn M.
dc.contributor.authorFlynn, James
dc.contributor.authorPusede, Sally E.
dc.contributor.authorJudd, Laura M.
dc.contributor.authorMoore, William
dc.contributor.authorBaker, Barry D.
dc.contributor.authorAl-Saadi, Jay
dc.contributor.authorMcgee, Thomas J.
dc.description.abstractCoastal regions have historically represented a significant challenge for air quality investigations because of water–land boundary transition characteristics and a paucity of measurements available over water. Prior studies have identified the formation of high levels of ozone over water bodies, such as the Chesapeake Bay, that can potentially recirculate back over land to significantly impact populated areas. Earth-observing satellites and forecast models face challenges in capturing the coastal transition zone where small-scale meteorological dynamics are complex and large changes in pollutants can occur on very short spatial and temporal scales. An observation strategy is presented to synchronously measure pollutants “over land” and “over water” to provide a more complete picture of chemical gradients across coastal boundaries for both the needs of state and local environmental management and new remote sensing platforms. Intensive vertical profile information from ozone lidar systems and ozonesondes, obtained at two main sites, one over land and the other over water, are complemented by remote sensing and in situ observations of air quality from ground-based, airborne (both personned and unpersonned), and shipborne platforms. These observations, coupled with reliable chemical transport simulations, such as the National Oceanic and Atmospheric Administration (NOAA) National Air Quality Forecast Capability (NAQFC), are expected to lead to a more fully characterized and complete land–water interaction observing system that can be used to assess future geostationary air quality instruments, such as the National Aeronautics and Space Administration (NASA) Tropospheric Emissions: Monitoring of Pollution (TEMPO), and current low-Earth-orbiting satellites, such as the European Space Agency’s Sentinel-5 Precursor (S5-P) with its Tropospheric Monitoring Instrument (TROPOMI).en_US
dc.description.sponsorshipThis work was supported by the 2017 NASA Science Innovation Fund. The authors gratefully acknowledge support provided by the NASA Tropospheric Composition Program, the TEMPO Student Collaboration Project (supported by NASA Earth System Science Pathfinder Program), the NASA GSFC Pandora Project, the NASA AERONet Project, and the pilots/captains and crew of the LaRC B200, WFF C-23 Sherpa, and R/V SERC. Thanks for the continued support and guidance from the Tropospheric Ozone Lidar Network (TOLNet). Gracious support was also provided from the EPA’s Air, Climate, and Energy Research Program. Additional support was provided by NASA Grant NNX15AB84G. Ceilometer equipment and support were also provided by Ricardo Sakai, Ruben Delgado, and Belay Demoz. Near-real-time processing of the Pandora data was provided by Alexander Cede, Martin Tiefengraber, Moritz Mueller, Axel Kreuter, and Christian Posch. The OWLETS team would also like to thank the NOAA Environmental Modeling Center (EMC) and the NOAA Air Resources Laboratory (ARL) for guidance and support of operational forecasting, with a special thanks to Jeff McQueen and Pius Lee. We would like to extend our gratitude toward Alexander Dimov, Peter Pantina, and Nader Abuhassan for their commitment to ground site installation. The authors also acknowledge the support of Dr. Vickie Connors and the VCU Rice Center staff. Additional measurements and data processing for the C-23 Sherpa were provided by Donald Blake, Barbara Barletta, Thomas F. Hanisco, Jason St. Clair, Reem Hannun, Jessica Munyan, Natasha Dacic, Melissa Yang, and Michael Shook.en_US
dc.format.extent16 pagesen_US
dc.genrejournal articlesen_US
dc.identifier.citationRobert Swap, Maria Tzortziou, Anne M. Thompson, Ryan M. Stauffer, Glenn M. Wolfe,, The Ozone Water–Land Environmental Transition Study, 2019,
dc.publisherAmerican Meteorological Societyen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Faculty Collection
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.
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.subjectChesapeake Bayen_US
dc.subjectNational Oceanic and Atmospheric Administration (NOAA)en_US
dc.subjectNational Air Quality Forecast Capability (NAQFC)en_US
dc.subjectTropospheric Emissions: Monitoring of Pollution (TEMPO)en_US
dc.subjectlow-Earth-orbiting satellitesen_US
dc.subjectEuropean Space Agency’s Sentinel-5 Precursor (S5-P)en_US
dc.titleThe Ozone Water–Land Environmental Transition Studyen_US

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