Citation:

Foley, K., G. Pouliot, A. Eyth, M. Aldridge, Christine Allen, Keith Appel, J. Bash, M. Beardsley, J. Beidler, Jongwoo Choi, C. Farkas, R. Gilliam, J. Godfrey, B. Henderson, C. Hogrefe, S. Koplitz, R. Mason, R. Mathur, Christopher Misenis, Norman Possiel, H. Pye, L. Reynolds, M. Roark, S. Roberts, D. Schwede, K. Seltzer, D. Sonntag, K. Talgo, C. Toro, J. Vukovich, J. Xing, AND E. Adams. 2002-2017 Anthropogenic Emissions Data for Air Quality Modeling over the United States. Data in Brief. Elsevier B.V., Amsterdam, Netherlands, 47:N/A, (2023). https://doi.org/10.1016/j.dib.2023.109022

Impact/Purpose:

EPA’s Air QUAlity TimE Series Project (EQUATES; www.epa.gov/cmaq/EQUATES) uses the state-of-the-science emissions, meteorological, and air quality methods and models to provide a unified set of modeling data for 2002-2017 to support regulatory and policy analyses as well as health and ecological studies.  Modeled datasets cover the Conterminous US at a 12km resolution and the northern hemisphere at a 108km resolution using the Community Multiscale Air Quality modeling system version 5.3.2 (CMAQv5.3.2; https://www.epa.gov/CMAQ). New hemispheric and North American emissions inventories were developed using consistent input data and methods across all years, including emissions from mobile, fire, and oil and gas sources. The new emissions datasets and CMAQ output have been made publicly available to support a wide variety of human health and ecological applications. For example, modeled deposition will be used by the National Atmospheric Deposition Program (NADP) Total Deposition Science Committee (TDEP) to estimate total sulfur and nitrogen deposition for use in critical loads and other ecological assessments.  Model estimated trends will be used for dynamic and diagnostic evaluation of the CMAQ system to inform model development and build confidence in the use of the model for quantifying the impact of meteorological and emissions changes on air quality.   

Description:

The US EPA has developed a set of annual North American anthropogenic and fire emissions data for criteria air pollutants across 18 broad source catagories for 2002 through 2017.  The sixteen new annual emissions inventories were developed using consistent input data and methods across all years. When a consistent method or tool was not available for a source category, emissions were estimated by scaling data from the EPA’s 2017 National Emissions Inventory with scaling factors based on activity data and/or control information.  The emissions datasets are designed to support regional air quality modeling for a wide variety of human health and ecological applications. The data are formatted to support simulations of the EPA’s Community Multiscale Air Quality model but can also be used by other regional scale air quality models. The emissions data are one component of EPA’s Air Quality Time Series Project which also includes meteorology and air quality modeling of the Conterminous US at a 12 km horizontal grid spacing.

URLs/Downloads:

Record Details: