Publicly accessible data archive containing EPA and non-EPA generated data for the 2017 Lake Michigan Ozone Study. Portions of this dataset are inaccessible because: Data is already publicly available on the LMOS data archive and also contains non-EPA data. They can be accessed through the following means: Via the MOS study data archive at: https://asdc.larc.nasa.gov/project/LMOS. Format: Data is housed on the NASA LMOS archive in ICARTT format. This dataset is associated with the following publications: Long, R., and L. Valin. Characterization of ground-based atmospheric pollution and meteorology sampling stations during the Lake Michigan Ozone Study 2017. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 71(7): 866-889, (2021). Long, R., and L. Valin. Impacts of lake breeze meteorology on ozone gradient observations along Lake Michigan shorelines in Wisconsin. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 269: 0, (2022).

This EPA SH entry contains the link to the public archive for all datasets collected by EPA and collaborators for the Lake Michigan Ozone Study conducted in 2017. The archive resides at NASA Langley Research Center. EPA-ORD data sets can be found by clicking on the individual site tabs on the main LMOS archive webpage and EPA-ORD will be listed at the PI.

LMOS_Miscellaneous_Data is the supplementary and ancillary data to support the Lake Michigan Ozone Study (LMOS). This data product currently features supplementary satellite data. This product is a result of a joint effort across multiple agencies, including NASA, NOAA, the EPA, Electric Power Research Institute (EPRI), National Science Foundation (NSF), Lake Michigan Air Directors Consortium (LADCO) and its member states, and several research groups at universities. Data collection is complete. Elevated spring and summertime ozone levels remain a challenge along the coast of Lake Michigan, with a number of monitors recording levels/amounts exceeding the 2015 National Ambient Air Quality Standards (NAAQS) for ozone. The production of ozone over Lake Michigan, combined with onshore daytime “lake breeze” airflow is believed to increase ozone concentrations at locations within a few kilometers off shore. This observed lake-shore gradient motivated the Lake Michigan Ozone Study (LMOS). Conducted from May through June 2017, the goal of LMOS was to better understand ozone formation and transport around Lake Michigan; in particular, why ozone concentrations are generally highest along the lakeshore and drop off sharply inland and why ozone concentrations peak in rural areas far from major emission sources. LMOS was a collaborative, multi-agency field study that provided extensive observational air quality and meteorology datasets through a combination of airborne, ship, mobile laboratories, and fixed ground-based observational platforms. Chemical transport models (CTMs) and meteorological forecast tools assisted in planning for day-to-day measurement strategies. The long term goals of the LMOS field study were to improve modeled ozone forecasts for this region, better understand ozone formation and transport around Lake Michigan, provide a better understanding of the lakeshore gradient in ozone concentrations (which could influence how the Environmental Protection Agency (EPA) addresses future regional ozone issues), and provide improved knowledge of how emissions influence ozone formation in the region.

DISCOVER-AQ data archive containing Data from Baltimore MD, San Juaquin Valley CA, Houston TX, and Denver CO studies. Data may be from NASA Aircraft and both EPA and non EPA ground based measurements. Portions of this dataset are inaccessible because: The data set for this manuscript contains both EPA owned and non-EPA generated data for which EPA does not have permission to house on ScienceHub. As such it is most feasable to house the data in one location and provide the link in ScienceHub where users can access and download data if desired. They can be accessed through the following means: Final datasets are located at the following public data archive: https://www-air.larc.nasa.gov/missions/discover-aq/discover-aq.html. Users can access and download the data at this site. Format: Files follow metadata and data requirements for NASA ICARTT file format (https://earthdata.nasa.gov/esdis/eso/standards-and-references/icartt-file-format) and have been run through the ICARTT file checker prior to posting on the publicly available DISCOVER-AQ data archive. This dataset is associated with the following publication: Long, R., and J. Szykman. Comprehensive evaluations of diurnal NO2 measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NOx emissions. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 21(14): 11133-11160, (2021).

DISCOVER-AQ data archive containing Data from Baltimore MD, San Juaquin Valley CA, Houston TX, and Denver CO studies. Data may be from NASA Aircraft and both EPA and non EPA ground based measurements. Portions of this dataset are inaccessible because: The data set for this manuscript contains both EPA owned and non-EPA generated data for which EPA does not have permission to house on ScienceHub. As such it is most feasable to house the data in one location and provide the link in ScienceHub where users can access and download data if desired. They can be accessed through the following means: Final datasets are located at the following public data archive: https://www-air.larc.nasa.gov/missions/discover-aq/discover-aq.html. Users can access and download the data at this site. Format: Files follow metadata and data requirements for NASA ICARTT file format (https://earthdata.nasa.gov/esdis/eso/standards-and-references/icartt-file-format) and have been run through the ICARTT file checker prior to posting on the publicly available DISCOVER-AQ data archive. This dataset is associated with the following publication: Long, R., and J. Szykman. Comprehensive evaluations of diurnal NO2 measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NOx emissions. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 21(14): 11133-11160, (2021).

National Lakes Assessment physical habitat data - 2007 and 2012 data. Portions of this dataset are inaccessible because: Authors have this data from the state of Maine. They can be accessed through the following means: Jeremy Deeds. Format: Secondary data for paper. This dataset is associated with the following publication: Deeds, J., A. Amirbahman, K. Hugger, P. Kaufmann, L. Matthews, K. Merrell, and S. Norton. Assessment Indices of Littoral Habitat Condition for Lakes in Maine and New England, United States. LAKE AND RESERVOIR MANAGEMENT. Taylor & Francis Group, London, UK, 39(2): 141-155, (2023).

오존주의보발령정보(발령일시,경보발령지역,발령농도,최고농도,해제일시등)를제공 지역별 오존수치 분석 및 예측을 위한 학습데이터

Underlying data associated with figures in publication. Portions of this dataset are inaccessible because: Data is now available for public access. They can be accessed through the following means: Data available through Data.gov and EDG. Format: Excel spreadsheet. This dataset is associated with the following publication: Olson, D., T. Riedel, J. Offenberg, M. Lewandowski, R. Long, and T. Kleindienst. Quantifying wintertime O3 and NOx formation with relevance vector machines. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 259: 118538, (2021).