<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Stanier CO</submitter><funding>Intramural EPA</funding><pagination>E2207-E2225</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9275376</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>102(12)</volume><pubmed_abstract>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 (NO &lt;sub>&lt;i>x&lt;/i>&lt;/sub> = NO + NO&lt;sub>2&lt;/sub>) 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</pubmed_abstract><journal>Bulletin of the American Meteorological Society</journal><pubmed_title>Overview of the Lake Michigan Ozone Study 2017.</pubmed_title><pmcid>PMC9275376</pmcid><funding_grant_id>EPA999999</funding_grant_id><pubmed_authors>Kowalewski MG</pubmed_authors><pubmed_authors>Bertram TH</pubmed_authors><pubmed_authors>Shaw SL</pubmed_authors><pubmed_authors>Kenski D</pubmed_authors><pubmed_authors>Long RW</pubmed_authors><pubmed_authors>Abdi-Oskouei M</pubmed_authors><pubmed_authors>Valin L</pubmed_authors><pubmed_authors>Carmichael GR</pubmed_authors><pubmed_authors>Pierce RB</pubmed_authors><pubmed_authors>Dickens AF</pubmed_authors><pubmed_authors>Alwe HD</pubmed_authors><pubmed_authors>Czarnetzki AC</pubmed_authors><pubmed_authors>Szykman J</pubmed_authors><pubmed_authors>Whitehill AR</pubmed_authors><pubmed_authors>Christiansen MB</pubmed_authors><pubmed_authors>Hughes DD</pubmed_authors><pubmed_authors>Cleary PA</pubmed_authors><pubmed_authors>Stanier CO</pubmed_authors><pubmed_authors>Williams DJ</pubmed_authors><pubmed_authors>Al-Saadi J</pubmed_authors><pubmed_authors>Janz SJ</pubmed_authors><pubmed_authors>Stone EA</pubmed_authors><pubmed_authors>Millet DB</pubmed_authors><pubmed_authors>Fuoco MA</pubmed_authors><pubmed_authors>Judd LM</pubmed_authors><pubmed_authors>Wagner TJ</pubmed_authors><pubmed_authors>Roozitalab B</pubmed_authors><pubmed_authors>Adelman ZE</pubmed_authors><pubmed_authors>Hupy JP</pubmed_authors><pubmed_authors>Novak G</pubmed_authors><pubmed_authors>Vermeuel M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Overview of the Lake Michigan Ozone Study 2017.</name><description>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 (NO &lt;sub>&lt;i>x&lt;/i>&lt;/sub> = NO + NO&lt;sub>2&lt;/sub>) 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</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Dec</publication><modification>2025-04-26T09:49:41.642Z</modification><creation>2025-04-06T13:07:50.366Z</creation></dates><accession>S-EPMC9275376</accession><cross_references><pubmed>35837596</pubmed><doi>10.1175/BAMS-D-20-0061.1</doi><doi>10.1175/bams-d-20-0061.1</doi></cross_references></HashMap>