You are here:
Multiscale Modeling of Multi-decadal Trends in Ozone and Precursor Species Across the Northern Hemisphere and the United States
Citation:
Mathur, R., J. Xing, S. Napelenok, Jon Pleim, C. Hogrefe, David-C Wong, C. Gan, AND D. Kang. Multiscale Modeling of Multi-decadal Trends in Ozone and Precursor Species Across the Northern Hemisphere and the United States. Chapter 39, Air Pollution Modeling and its Application XXIV. Springer International Publishing AG, Cham (ZG), Switzerland, , 239-243, (2016).
Impact/Purpose:
The National Exposure Research Laboratory’s Atmospheric Modeling Division (AMAD) conducts research in support of EPA’s mission to protect human health and the environment. AMAD’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. AMAD 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 AMAD 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:
Multi-decadal model calculations for the 1990-2010 period are performed with the coupled WRF-CMAQ modeling system over a domain encompassing the northern hemisphere and a nested domain over the continental U.S. Simulated trends in ozone and precursor species concentrations across the U.S. over the past two decades are compared with those inferred from available measurements during this period. The model results suggest large and contrasting changes in tropospheric composition over the northern hemisphere with significant reductions in air pollution over North America and Western Europe and increase in large portions of Asia. The model is able to capture the changing seasonal distributions in surface O3 in the U.S. during 1990-2010 arising from changing emissions and long-range transport.
