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The Impact of Satellite-derived Biomass Burning Emission Estimates on Air Quality
Citation:
POULIOT, G., T. E. PIERCE, X. Zhang, S. Kondragunta, C. WIEDINMYER, T. PACE, AND D. MOBLEY. The Impact of Satellite-derived Biomass Burning Emission Estimates on Air Quality. In Proceedings, Remote Sensing of Fire: Science and Application, SAn Diego, CA, August 10 - 14, 2008. SPIE/International Society for Optical Engineering, Bellingham, WA, 7089F 1-12, (2008).
Impact/Purpose:
National Exposure Research Laboratory′s (NERL′s) Atmospheric Modeling Division (AMD) conducts research in support of EPA′s mission to protect human health and the environment. AMD′s research program is engaged in developing and evaluating predictive atmospheric models on all spatial and temporal scales for forecasting the Nation′s air quality and for assessing changes in air quality and air pollutant exposures, as affected by changes in ecosystem management and regulatory decisions. AMD is responsible for providing a sound scientific and technical basis for regulatory policies based on air quality models to improve ambient air quality. The models developed by AMD are being used by EPA, NOAA, and the air pollution community in understanding and forecasting not only the magnitude of the air pollution problem, but also in developing emission control policies and regulations for air quality improvements.
Description:
Various methods to generate satellite-based biomass burning emission estimates have recently been developed for their use in air quality models. Each method has different assumptions, data sources, and algorithms. This paper compares three different satellite-based biomass burning emission estimates against a controlled case of no biomass burning and ground-based biomass estimate in an air quality model.