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.

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).

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).

LMOS_TraceGas_ShipInSitu_Data_1 is the Lake Michigan Ozone Study (LMOS) in-situ trace gas data collected onboard the NOAA Research Vessel during the LMOS field campaign. 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 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 of the 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.

The provided link will take users to all the data and metadata used in this project. This dataset is associated with the following publication: Angradi, T., P. Ringold, and K. Hall. Water clarity measures as indicators of recreational benefits provided by U.S. lakes: Swimming and aesthetics. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 93: 1005-1019, (2018).

The provided link will take users to all the data and metadata used in this project. This dataset is associated with the following publication: Angradi, T., P. Ringold, and K. Hall. Water clarity measures as indicators of recreational benefits provided by U.S. lakes: Swimming and aesthetics. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 93: 1005-1019, (2018).

,Each daily summary file contains data for every monitor (sampled parameter) in our database for each day. This dataset shows Ozone at all monitoring locations throughout the year 2017.,

In the Great Lakes basin, there are numerous organizations undertaking scientific monitoring and research efforts with the goal of identifying threats and evaluating management strategies that will protect and restore the Great Lakes ecosystem. Coordination among all these stakeholders is a challenge, and having a centralized location where researchers and managers can identify relevant scientific activities and access fundamental information about these activities is crucial for efficient management. The Science in the Great Lakes (SiGL) Mapper was a map-based discovery tool that spatially displayed basin-wide multidisciplinary monitoring and research activities conducted by both USGS and partners from all five Great Lakes. It was designed to help Great Lakes researchers and managers strategically plan, implement, and analyze monitoring and restoration activities by providing easy access to historical and on-going project metadata while allowing them to identify gaps (spatially and topically) that have been underrepresented in previous efforts or need further study. SiGL provided a user-friendly and efficient way to explore Great Lakes projects and data through robust search options while also providing a critical spatial perspective through its interactive mapping interface.

전북특별자치도의 호소를 측정한 정보입니다.항목 : Site, Date, Temp, pH, DO, BOD, COD, SS, TN, TP 등

,Each daily summary file contains data for every monitor (sampled parameter) in our database for each day. This dataset shows Ozone at all monitoring locations throughout the year 2017.,