Abstract

The recent update on the US National Ambient Air Quality Standards (NAAQS) of the ground-level ozone (O3/ can benefit from a better understanding of its source contributions in different US regions during recent years. In the Hemispheric Transport of Air Pollution experiment phase 1 (HTAP1), various global models were used to determine the O3 source–receptor (SR) relationships among three continents in the Northern Hemisphere in 2001. In support of the HTAP phase 2 (HTAP2) experiment that studies more recent years and involves higher-resolution global models and regional models’ participation, we conduct a number of regional-scale Sulfur Transport and dEposition Model (STEM) air quality base and sensitivity simulations over North America during May–June 2010. STEM’s top and lateral chemical boundary conditions were downscaled from three global chemical transport models’ (i.e., GEOS-Chem, RAQMS, and ECMWF C-IFS) base and sensitivity simulations in which the East Asian (EAS) anthropogenic emissions were reduced by 20 %. The mean differences between STEM surface O3 sensitivities to the emission changes and its corresponding boundary condition model’s are smaller than those among its boundary condition models, in terms of the regional/period-mean (<10 %) and the spatial distributions. An additional STEM simulation was performed in which the boundary conditions were downscaled from a RAQMS (Realtime Air Quality Modeling System) simulation without EAS anthropogenic emissions. The scalability of O3 sensitivities to the size of the emission perturbation is spatially varying, and the full (i.e., based on a 100% emission reduction) source contribution obtained from linearly scaling the North American mean O3 sensitivities to a 20% reduction in the EAS anthropogenic emissions may be underestimated by at least 10 %. The three boundary condition models’ mean O3 sensitivities to the 20% EAS emission perturbations are ~8% (May–June 2010)/~11% (2010 annual) lower than those estimated by eight global models, and the multi-model ensemble estimates are higher than the HTAP1 reported 2001 conditions. GEOS-Chem sensitivities indicate that the EAS anthropogenic NOx emissions matter more than the other EAS O3 precursors to the North American O3, qualitatively consistent with previous adjoint sensitivity calculations.In addition to the analyses on large spatial–temporal scales relative to the HTAP1, we also show results on subcontinental and event scales that are more relevant to the US air quality management. The EAS pollution impacts are weaker during observed O3 exceedances than on all days in most US regions except over some high-terrain western US rural/remote areas. Satellite O3 (TES, JPL–IASI, and AIRS) and carbon monoxide (TES and AIRS) products, along with surface measurements and model calculations, show that during certain episodes stratospheric O3 intrusions and the transported EAS pollution influenced O3 in the western and the eastern US differently. Free-running (i.e., without chemical data assimilation) global models underpredicted the transported background O3 during these episodes, posing difficulties for STEM to accurately simulate the surface O3 and its source contribution. Although we effectively improved the modeled O3 by incorporating satellite O3 (OMI and MLS) and evaluated the quality of the HTAP2 emission inventory with the Royal Netherlands Meteorological Institute–Ozone Monitoring Instrument (KNMI–OMI) nitrogen dioxide, using observations to evaluate and improve O3 source attribution still remains to be further explored.

Highlights

  • IntroductionTropospheric ozone (O3), a short-lived trace gas with a lifetime ranging from hours in the boundary layer to weeks in the free troposphere, affects tropospheric chemistry, harms human and ecosystem health, and induces climate change on local, regional, and global scales (Jerrett et al, 2009; Smith et al, 2009; Anenberg et al, 2010; Mauzerall and Wang, 2001; Avnery et al, 2011a, b; Shindell et al, 2009, 2013; Bowman and Henze, 2012; Stevenson et al, 2006, 2013; Monks et al, 2015)

  • This study aims to address (1) the comparison of the O3 sensitivities generated from the HTAP phase 2 (HTAP2) and HTAP modeling experiment phase 1 (HTAP1) experiments, which could help address how the longrange transport (LRT) impacts on NAM changed through time; (2) how the refined modeling experiment design in HTAP2 can help advance our understanding of the LRT impacts on NAM, the involvement of regional models and the inclusion of small spatial–temporal scale analyses during high O3 episodes that are more relevant to air quality management; and (3) the usefulness of satellite observations for better understanding the sources of uncertainties in the modeled total O3 as well as for reducing the uncertainties in some of these model inputs via chemical data assimilation

  • In support of the HTAP phase 2 experiment that involved high-resolution global models and regional models’ participation to advance the understanding of the pollutants’ source– receptor (SR) relationships in the Northern Hemisphere, we conducted a number of regional-scale STEM base and forward sensitivity simulations over NAM during May–June 2010

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Summary

Introduction

Tropospheric ozone (O3), a short-lived trace gas with a lifetime ranging from hours in the boundary layer to weeks in the free troposphere, affects tropospheric chemistry, harms human and ecosystem health, and induces climate change on local, regional, and global scales (Jerrett et al, 2009; Smith et al, 2009; Anenberg et al, 2010; Mauzerall and Wang, 2001; Avnery et al, 2011a, b; Shindell et al, 2009, 2013; Bowman and Henze, 2012; Stevenson et al, 2006, 2013; Monks et al, 2015). Issues regarding making accurate estimates of the total O3 as well as the background O3 level, defined as the concentration that is not affected by recent locally emitted or produced anthropogenic pollution (e.g., McDonald-Buller et al, 2011; Zhang et al, 2011; Fiore et al, 2014; Huang et al, 2015), have been recently discussed as part of the implementation of the new US O3 standard (US EPA, 2016a, b) This includes assessing the impacts of various components of the background O3, such as stratospheric O3, local natural sources such as biogenic, lightning, and wildfire emissions, and the longrange transport (LRT) of pollution. A better understanding of the processes that determine the O3 pollution levels, as well as an improved capability of attributing the air pollution to nearby or distant sources, is needed to assist with designing and implementing effective local emission control strategies to comply with the tighter air quality standards

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