Abstract

Abstract. Simulations of present and future average regional ozone and PM2.5 concentrations over the United States were performed to investigate the potential impacts of global climate change and emissions on regional air quality using CMAQ. Various emissions and climate conditions with different biogenic emissions and domain resolutions were implemented to study the sensitivity of future air quality trends from the impacts of changing biogenic emissions. A comparison of GEOS-Chem and CMAQ was performed to investigate the effect of downscaling on the prediction of future air quality trends. For ozone, the impacts of global climate change are relatively smaller when compared to the impacts of anticipated future emissions reduction, except for the Northeast area, where increasing biogenic emissions due to climate change have stronger positive effects (increases) to the regional ozone air quality. The combination effect from both climate change and emission reductions leads to approximately a 10 % or 5 ppbv decrease of the maximum daily average eight-hour ozone (MDA8) over the Eastern United States. For PM2.5, the impacts of global climate change have shown insignificant effect, where as the impacts of anticipated future emissions reduction account for the majority of overall PM2.5 reductions. The annual average 24-h PM2.5 of the future-year condition was found to be about 40 % lower than the one from the present-year condition, of which 60 % of its overall reductions are contributed to by the decrease of SO4 and NO3 particulate matters. Changing the biogenic emissions model increases the MDA8 ozone by about 5–10 % or 3–5 ppbv in the Northeast area. Conversely, it reduces the annual average PM2.5 by 5 % or 1.0 μg m−3 in the Southeast region.

Highlights

  • Representing the transport and chemical transformation of air pollutants has always been one of the greatest challenges of simulating regional air quality in global climate/chemistry models

  • We found that there was a general increase of maximum daily average 8-h ozone (MDA8) ozone by about 10 to 12 % in the Northeast domain when using MEGAN2 biogenic emissions

  • The change of MDA8 ozone in the Northeast domain was mainly triggered by the nature of the VOC-limited region of the domain

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Summary

Introduction

Representing the transport and chemical transformation of air pollutants has always been one of the greatest challenges of simulating regional air quality in global climate/chemistry models. It is suggested that effects of anthropogenic emissions account for more overall change of ozone formation than the climate change (Tagaris et al, 2007; Jacob and Winner, 2009; Nolte et al, 2008; Zhang et al, 2008) The accuracy of these studies has been tied strongly to the methodology used for downscaling, the choice of resolution, and selection of projection emission scenarios. Due to the concern of the effects of biogenic emission in the regional climate study, air quality simulations of present/future climate conditions (2000 and 2050) with MEGAN2 biogenic emissions scenario at 12 km resolution were performed to investigate the effect of changing of biogenic emissions in the Southeastern United States. It is expected that this study will provide a broader understanding of the discrepancy between global and regional outputs for air quality application in the area of future climate change scenarios

Methodology – GCAP modeling system
Global models
Regional models
Biogenic emissions
Emissions scenarios
Comparison of present and future climate
Findings
Comparisons of present climate air quality using MEGAN2 emissions
Conclusions
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