Pub Date : 2021-12-24DOI: 10.1175/BAMS-D-20-0061.1
Charles O Stanier, R Bradley Pierce, Maryam Abdi-Oskouei, Zachariah E Adelman, Jay Al-Saadi, Hariprasad D Alwe, Timothy H Bertram, Gregory R Carmichael, Megan B Christiansen, Patricia A Cleary, Alan C Czarnetzki, Angela F Dickens, Marta A Fuoco, Dagen D Hughes, Joseph P Hupy, Scott J Janz, Laura M Judd, Donna Kenski, Matthew G Kowalewski, Russell W Long, Dylan B Millet, Gordon Novak, Behrooz Roozitalab, Stephanie L Shaw, Elizabeth A Stone, James Szykman, Lukas Valin, Michael Vermeuel, Timothy J Wagner, Andrew R Whitehill, David J Williams
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 x = 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.
2017年密歇根湖臭氧研究(LMOS 2017)是一项多机构合作的实地研究，针对密歇根湖南部地区的臭氧化学、气象学和空气质量观测。LMOS 2017的主要目标是提供测量数据，以改进该地区复杂气象和化学环境的空气质量建模。LMOS 2017科学问题包括氮氧化物(NO x = NO + NO2)和挥发性有机化合物(VOC)排放源的时空评估及其对臭氧事件的影响;湖面微风的作用;GeoTASO、Pandora和TEMPO等新型遥感工具对空气质量管理的贡献;光化学网格模型的评价。观测策略包括NASA UC-12飞机上的GeoTASO捕获二氧化氮和甲醛柱，一架原位分析飞机，两个陆基沿海增强监测点，沿海潘多拉仪器连续的二氧化氮柱，以及一艘仪器化研究船。在6月2日、6月9日至12日和6月14日至16日观察到当地光化学臭氧的产生，提供了有关州和联邦空气质量管理过程的见解。LMOS 2017飞机绘制了NO2排放的显著时空变化以及在密歇根湖表面附近浅层发生快速臭氧形成的污染层。详细观测了湖风的气象特征，并进行了臭氧、NOx、硝酸、过氧化氢、VOC、氧化VOC (OVOC)和细颗粒物(PM2.5)组成的测量。本文总结了研究设计，引导读者到活动数据存储库，并提出了研究结果的摘要。
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Pub Date : 2019-08-01DOI: 10.1175/BAMS-D-18-0001.1
Scott E Stevens, Carl J Schreck, Shubhayu Saha, Jesse E Bell, Kenneth E Kunkel
Precipitation, even at light intensity, contributes a significant risk of fatal motor vehicle crashes across the United States, at nearly all times of day, and in all seasons.
{"title":"PRECIPITATION AND FATAL MOTOR VEHICLE CRASHES: Continental Analysis with High-Resolution Radar Data.","authors":"Scott E Stevens, Carl J Schreck, Shubhayu Saha, Jesse E Bell, Kenneth E Kunkel","doi":"10.1175/BAMS-D-18-0001.1","DOIUrl":"https://doi.org/10.1175/BAMS-D-18-0001.1","url":null,"abstract":"<p><p>Precipitation, even at light intensity, contributes a significant risk of fatal motor vehicle crashes across the United States, at nearly all times of day, and in all seasons.</p>","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"100 8","pages":"1453-1461"},"PeriodicalIF":8.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1175/BAMS-D-18-0001.1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9616574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1175/bams-d-16-0244.1
William P Kustas, Martha C Anderson, Joseph G Alfieri, Kyle Knipper, Alfonso Torres-Rua, Christopher K Parry, Hector Nieto, Nurit Agam, William A White, Feng Gao, Lynn McKee, John H Prueger, Lawrence E Hipps, Sebastian Los, Maria Mar Alsina, Luis Sanchez, Brent Sams, Nick Dokoozlian, Mac McKee, Scott Jones, Yun Yang, Tiffany G Wilson, Fangni Lei, Andrew McElrone, Josh L Heitman, Adam M Howard, Kirk Post, Forrest Melton, Christopher Hain
{"title":"THE GRAPE REMOTE SENSING ATMOSPHERIC PROFILE AND EVAPOTRANSPIRATION EXPERIMENT.","authors":"William P Kustas, Martha C Anderson, Joseph G Alfieri, Kyle Knipper, Alfonso Torres-Rua, Christopher K Parry, Hector Nieto, Nurit Agam, William A White, Feng Gao, Lynn McKee, John H Prueger, Lawrence E Hipps, Sebastian Los, Maria Mar Alsina, Luis Sanchez, Brent Sams, Nick Dokoozlian, Mac McKee, Scott Jones, Yun Yang, Tiffany G Wilson, Fangni Lei, Andrew McElrone, Josh L Heitman, Adam M Howard, Kirk Post, Forrest Melton, Christopher Hain","doi":"10.1175/bams-d-16-0244.1","DOIUrl":"https://doi.org/10.1175/bams-d-16-0244.1","url":null,"abstract":"","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"99 9","pages":"1791-1812"},"PeriodicalIF":8.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1175/bams-d-16-0244.1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25570231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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