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1 September 2006 3D-AQS: a three-dimensional air quality system
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Abstract
In 2006, we began a three-year project funded by the NASA Integrated Decisions Support program to develop a three-dimensional air quality system (3D-AQS). The focus of 3D-AQS is on the integration of aerosol-related NASA Earth Science Data into key air quality decision support systems used for air quality management, forecasting, and public health tracking. These will include the U.S. Environmental Protection Agency (EPA)'s Air Quality System/AirQuest and AIRNow, Infusing satellite Data into Environmental Applications (IDEA) product, U.S. Air Quality weblog (Smog Blog) and the Regional East Atmospheric Lidar Mesonet (REALM). The project will result in greater accessibility of satellite and lidar datasets that, when used in conjunction with the ground-based particulate matter monitors, will enable monitoring across horizontal and vertical dimensions. Monitoring in multiple dimensions will enhance the air quality community's ability to monitor and forecast the geospatial extent and transboundary transport of air pollutants, particularly fine particulate matter. This paper describes the concept of this multisensor system and gives current examples of the types of products that will result from it.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raymond M. Hoff, Jill A Engel-Cox, Fred Dimmick, James J. Szykman, Brad Johns, Shobha Kondragunta, Raymond Rogers, Kevin McCann, D. Allen Chu, Omar Torres, Ana Prados, Jassim Al-Saadi, Chieko Kittaka, Vickie Boothe, Steve Ackerman, and Anthony Wimmers "3D-AQS: a three-dimensional air quality system", Proc. SPIE 6299, Remote Sensing of Aerosol and Chemical Gases, Model Simulation/Assimilation, and Applications to Air Quality, 629901 (1 September 2006); https://doi.org/10.1117/12.677281
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