The Lake Michigan Ozone Study 2017 (LMOS 2017) was a collaborative multiagency field study targeting ozone chemistry, meteorology, and air quality observations in the southern Lake Michigan area. The primary objective of LMOS 2017 was to provide measurements to improve air quality modeling of the complex meteorological and chemical environment in the region. LMOS 2017 science questions included spatiotemporal assessment of nitrogen oxides (NOx = NO + NO2) and volatile organic compounds (VOC) emission sources and their influence on ozone episodes; the role of lake breezes; contribution of new remote sensing tools such as GeoTASO, Pandora, and TEMPO to air quality management; and evaluation of photochemical grid models. The observing strategy included GeoTASO on board the NASA UC-12 aircraft capturing NO2 and formaldehyde columns, an in situ profiling aircraft, two ground-based coastal enhanced monitoring locations, continuous NO2 columns from coastal Pandora instruments, and an instrumented research vessel. Local photochemical ozone production was observed on 2 June, 9-12 June, and 14-16 June, providing insights on the processes relevant to state and federal air quality management. The LMOS 2017 aircraft mapped significant spatial and temporal variation of NO2 emissions as well as polluted layers with rapid ozone formation occurring in a shallow layer near the Lake Michigan surface. Meteorological characteristics of the lake breeze were observed in detail and measurements of ozone, NOx, nitric acid, hydrogen peroxide, VOC, oxygenated VOC (OVOC), and fine particulate matter (PM2.5) composition were conducted. This article summarizes the study design, directs readers to the campaign data repository, and presents a summary of findings.
Bibliographical noteFunding Information:
Acknowledgments. The LMOS 2017 Science Team acknowledges the NASA Airborne Science Program and the NASA GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Mission Pre-formulation Science Working Group for supporting the airborne remote sensing instruments. This work was funded in part by the National Science Foundation under collaborative Grants AGS-1712909 (COS, EAS), AGS-1713001 (THB), and AGS-1712828 (DBM). DBM also acknowledges support from NSF under Grant AGS-1428257, and EAS acknowledges support from AGS-1405014. The UW Eau Claire team acknowledges the Student Blugold Commitment Differential Tuition program, and NSF Award 1400815. We acknowledge EPA and the NOAA GOES-R program office for supporting the measurements at Sheboygan, and the Electric Power Research Institute (EPRI) for supporting the Scientific Aviation airborne measurements. The University of Iowa modeling team acknowledges NASA support under NNX16AN36G.
© 2021 American Meteorological Society
- Air quality
- Aircraft observations
- Coastal meteorology
- Satellite observations
- Sea breezes