A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Regional and global modeling estimates of policy relevant background ozone over the United States
Abstract Policy Relevant Background (PRB) ozone, as defined by the US Environmental Protection Agency (EPA), refers to ozone concentrations that would occur in the absence of all North American anthropogenic emissions. PRB enters into the calculation of health risk benefits, and as the US ozone standard approaches background levels, PRB is increasingly important in determining the feasibility and cost of compliance. As PRB is a hypothetical construct, modeling is a necessary tool. Since 2006 EPA has relied on global modeling to establish PRB for their regulatory analyses. Recent assessments with higher resolution global models exhibit improved agreement with remote observations and modest upward shifts in PRB estimates. This paper shifts the paradigm to a regional model (CAMx) run at 12km resolution, for which North American boundary conditions were provided by a low-resolution version of the GEOS-Chem global model. We conducted a comprehensive model inter-comparison, from which we elucidate differences in predictive performance against ozone observations and differences in temporal and spatial background variability over the US. In general, CAMx performed better in replicating observations at remote monitoring sites, and performance remained better at higher concentrations. While spring and summer mean PRB predicted by GEOS-Chem ranged 20–45ppb, CAMx predicted PRB ranged 25–50ppb and reached well over 60ppb in the west due to event-oriented phenomena such as stratospheric intrusion and wildfires. CAMx showed a higher correlation between modeled PRB and total observed ozone, which is significant for health risk assessments. A case study during April 2006 suggests that stratospheric exchange of ozone is underestimated in both models on an event basis. We conclude that wildfires, lightning NOx and stratospheric intrusions contribute a significant level of uncertainty in estimating PRB, and that PRB will require careful consideration in the ozone standard setting process.
Highlights ► PRB ozone is important in EPA’s standard setting process. ► As PRB is hypothetical, modeling is necessary but must be informed by observations. ► Global and regional ozone modeling was performed and evaluated against observations. ► Model spatial resolution is important for PRB emissions, chemistry and transport. ► High resolution PRB predictions can be more than 10ppb higher than global modeling.
Regional and global modeling estimates of policy relevant background ozone over the United States
Abstract Policy Relevant Background (PRB) ozone, as defined by the US Environmental Protection Agency (EPA), refers to ozone concentrations that would occur in the absence of all North American anthropogenic emissions. PRB enters into the calculation of health risk benefits, and as the US ozone standard approaches background levels, PRB is increasingly important in determining the feasibility and cost of compliance. As PRB is a hypothetical construct, modeling is a necessary tool. Since 2006 EPA has relied on global modeling to establish PRB for their regulatory analyses. Recent assessments with higher resolution global models exhibit improved agreement with remote observations and modest upward shifts in PRB estimates. This paper shifts the paradigm to a regional model (CAMx) run at 12km resolution, for which North American boundary conditions were provided by a low-resolution version of the GEOS-Chem global model. We conducted a comprehensive model inter-comparison, from which we elucidate differences in predictive performance against ozone observations and differences in temporal and spatial background variability over the US. In general, CAMx performed better in replicating observations at remote monitoring sites, and performance remained better at higher concentrations. While spring and summer mean PRB predicted by GEOS-Chem ranged 20–45ppb, CAMx predicted PRB ranged 25–50ppb and reached well over 60ppb in the west due to event-oriented phenomena such as stratospheric intrusion and wildfires. CAMx showed a higher correlation between modeled PRB and total observed ozone, which is significant for health risk assessments. A case study during April 2006 suggests that stratospheric exchange of ozone is underestimated in both models on an event basis. We conclude that wildfires, lightning NOx and stratospheric intrusions contribute a significant level of uncertainty in estimating PRB, and that PRB will require careful consideration in the ozone standard setting process.
Highlights ► PRB ozone is important in EPA’s standard setting process. ► As PRB is hypothetical, modeling is necessary but must be informed by observations. ► Global and regional ozone modeling was performed and evaluated against observations. ► Model spatial resolution is important for PRB emissions, chemistry and transport. ► High resolution PRB predictions can be more than 10ppb higher than global modeling.
Regional and global modeling estimates of policy relevant background ozone over the United States
Emery, Christopher (author) / Jung, Jaegun (author) / Downey, Nicole (author) / Johnson, Jeremiah (author) / Jimenez, Michele (author) / Yarwood, Greg (author) / Morris, Ralph (author)
Atmospheric Environment ; 47 ; 206-217
2011-11-04
12 pages
Article (Journal)
Electronic Resource
English
Background Ozone in the Planetary Boundary Layer Over the United States
| Taylor & Francis Verlag | 1996