Abstract

Abstract. The Community Multiscale Air Quality (CMAQ) model version 4.6 has been revised with regard to the representation of chlorine (HCl, ClNO2) and sulfur (dimethylsulfide, or DMS, and H2S), and evaluated against observations and earlier published models. Chemistry parameterizations were based on published reaction kinetic data and a recently developed cloud chemistry model that includes heterogeneous reactions of organic sulfur compounds. Evaluation of the revised model was conducted using a recently enhanced data base of natural emissions that includes ocean and continental sources of DMS, H2S, chlorinated gases and lightning NOx for the continental United States and surrounding regions. Results using 2002 meteorology and emissions indicated that most simulated "natural" (plus background) chemical and aerosol species exhibit the expected seasonal variations at the surface. Ozone exhibits a winter and early spring maximum consistent with ozone data and an earlier published model. Ozone distributions reflect the influences of atmospheric dynamics and pollutant background levels imposed on the CMAQ simulation by boundary conditions derived from a global model. A series of model experiments reveals that the consideration of gas-phase organic sulfur chemistry leads to sulfate aerosol increases over most of the continental United States. Cloud chemistry parameterization changes result in widespread decreases in SO2 across the modeling domain and both increases and decreases in sulfate. Most cloud-mediated sulfate increases occurred mainly over the Pacific Ocean (up to about 0.1 μg m−3) but also over and downwind from the Gulf of Mexico (including parts of the eastern US). Geographic variations in simulated SO2 and sulfate are due to the link between DMS/H2S and their byproduct SO2, the heterogeneity of cloud cover and precipitation (precipitating clouds act as net sinks for SO2 and sulfate), and the persistence of cloud cover (the largest relative sulfate increases occurred over the persistently cloudy Gulf of Mexico and western Atlantic Ocean). Overall, the addition of organic sulfur chemistry increased hourly surface sulfate levels by up to 1–2 μg m−3 but reduced sulfate levels in the vicinity of high SO2 emissions (e.g., wildfires). Simulated surface levels of DMS compare reasonably well with observations in the marine boundary layer where DMS oxidation product levels are lower than observed. This implies either a low bias in model oxidation rates of organic sulfur species or a low bias in the boundary conditions for DMS oxidation products. This revised version of CMAQ provides a tool for realistically simulating the influence of natural emissions on air quality.

Highlights

  • Natural contributions to air pollution are important in determining overall human and ecosystem exposures to potentially damaging pollutants, and set limits to and benchmarks for the pollutant reduction objectives at the heart of air pollution policy and regulations (Chameides et al, 1988; Environmental Protection Agency (EPA), 2003; Kaynak et al, 2008; Smith and Mueller, 2010)

  • The simulation ended at 00:00 UTC on 1 January 2003 making 31 December incomplete

  • Observed maritime SO2 is represented here by data from only one study which may not be representative of the larger population of actual conditions. These results suggest that the revised Community Multiscale Air Quality (CMAQ) model chemistry, acting on the new ocean emissions of DMS, does a reasonable job simulating the behavior of organic sulfur

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Summary

Introduction

Natural contributions to air pollution are important in determining overall human and ecosystem exposures to potentially damaging pollutants, and set limits to and benchmarks for the pollutant reduction objectives at the heart of air pollution policy and regulations (Chameides et al, 1988; EPA, 2003; Kaynak et al, 2008; Smith and Mueller, 2010). Examples of the importance of naturally occurring pollutants include the United States guidelines for implementing the Regional Haze Rule (EPA, 2003), and the interest in background pollutant levels for their potential impact on achieving US air quality standards (Lin et al, 2000; EPA, 2005). Natural pollutants often cannot be distinguished from those derived from man-made emissions. Mueller et al.: Part 2: Modifications for simulating natural emissions

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