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Sensitivity of Inverse Estimation of 2004 Elemental Carbon Emissions Inventory in the United States to the Choice of Observational Networks
Citation:
Hu, Y., S. NAPELENOK, M. T. ODMAN, AND A. G. Russell. Sensitivity of Inverse Estimation of 2004 Elemental Carbon Emissions Inventory in the United States to the Choice of Observational Networks. GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, 36(L15806):1-5, (2009).
Impact/Purpose:
The 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:
Choice of observational networks used for inverse re-estimation of elemental (or black) carbon (EC) emissions in the United States impacts results. We convert the Thermal Optical Transmittance (TOT) EC measurements to the Thermal Optical Reflectance (TOR) equivalent to make full utilization of available networks in inverse modeling of EC using regional air quality model. Results show that using the Interagency Monitoring of Protected Visual Environments (IMPROV) network gives significantly lower emissions estimates compared to using the Speciation Trends Network (STN) and other networks or using all available networks together.
URLs/Downloads:
Sensitivity of Inverse Estimation of 2004 Elemental Carbon Emissions Inventory in the United States to the Choice of Observational Networks (PDF, NA pp, 3886 KB, about PDF)Geophysical Research Letters
