3D-AQS

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 3D-AQS

Contactemail  hoff@umbc.edu; engelcoxj@battelle.org

ContactName  Dr. Ray Hoff, University of Maryland, Baltimore County; Jill Engel-Cox, Battelle Memorial Institute

DataSystemAgencies  University of Maryland, Baltimore County. Partners include Battelle Memorial Institute, University of Wisconsin, NASA, EPA, NOAA, and CDC.

DataSystemName  Three Dimensional Air Quality System (3D-AQS)

DataSystemURL  http://alg.umbc.edu/3D-AQS

PresentationURL  http://alg.umbc.edu/3D-AQS

About  The 3D-AQS project is using a range of rem The 3D-AQS project is using a range of remote sensing instruments to expand EPA’s AQS into a three-dimensional system of nation-wide coverage, with the goal of providing information on the vertical and horizontal distribution of pollutants, particularly aerosols and particulates. The 3D-AQS project has three key initiatives. First, the project is improving existing data and visualization methods by developing finer resolution products, quantitative analysis of the satellite data with ground-based data, and creating new visualizations of 3D air quality information. Second, the project integrates satellite and lidar data into EPA’s AirQuest system, a database that merges AQS and AIRNow data with other monitor, model, and socioeconomic data, making the NASA data easily accessible. Third, the Integrating satellite Data from Environmental Applications (IDEA) product, which unites a range of satellite data in near real time, is bing migrated to an operational environment within NOAA’s National Environmental Satellite, Data, and Information Service (NESDIS). IDEA is being enhanced to include data from GASP and the ground-based LIDAR sensors. An end user advisory committee comprised of air quality forecasters and analysts is providing input and advice at each stage of the project. t and advice at each stage of the project.

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DataSystemHistory  Three year project funded by NASA Applied Sciences Program.

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DataSystemRef  Available at http://alg.umbc.edu/3D-AQS. Also, numerous journal publications.

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Categories  DataSystem +

 

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