Abstract

Abstract. The Mediterranean troposphere exhibits a marked and localised summertime ozone maximum, which has the potential to strongly impact regional air quality and radiative forcing. The Mediterranean region can be perturbed by long-range pollution import from Northern Europe, North America and Asia, in addition to local emissions, which may all contribute to regional ozone enhancements. We exploit ozone profile observations from the Tropospheric Emission Spectrometer (TES) and the Global Ozone Monitoring Experiment-2 (GOME-2) satellite instruments, and an offline 3-D global chemical transport model (TOMCAT) to investigate the geographical and vertical structure of the summertime tropospheric ozone maximum over the Mediterranean region. We show that both TES and GOME-2 are able to detect enhanced levels of ozone in the lower troposphere over the region during the summer. These observations, together with surface measurements, are used to evaluate the TOMCAT model's ability to capture the observed ozone enhancement. The model is used to quantify sensitivities of the ozone maximum to anthropogenic and natural volatile organic compound (VOC) emissions, anthropogenic NOx emissions, wildfire emissions and long-range import of ozone and precursors. Our results show a dominant sensitivity to natural VOC emissions in the Mediterranean basin over anthropogenic VOC emissions. However, local anthropogenic NOx emissions are result in the overall largest sensitivity in near-surface ozone. We also show that in the lower troposphere, global VOC emissions account for 40% of the ozone sensitivity to VOC emissions in the region, whereas, for NOx the ozone sensitivity to local sources is 9 times greater than that for global emissions at these altitudes. However, in the mid and upper troposphere ozone is most sensitive to non-local emission sources. In terms of radiative effects on regional climate, ozone contributions from non-local emission sources are more important, as these have a larger impact on ozone in the upper troposphere where its radiative effects are larger, with Asian monsoon outflow having the greatest impact. Our results allow improved understanding of the large-scale processes controlling air quality and climate in the region of the Mediterranean basin.

Highlights

  • 3-D global chemical transport model (TOMCAT) to investigate the geographical and vertical structure of the summertime tropospheric ozone maximum over the Mediter

  • Four stations in the Mediterranean region were selected for comparison with TOMCAT: 2 stations in the central and eastern region where the highest summertime ozone concentrations are observed (IT01 in Italy and GR02 in Greece) and 2 stations in the west where summertime concentrations are lower (ES12 and ES14 in Spain), see Table 1

  • The station data, which are collected hourly, were time matched to the TOMCAT output times and monthly mean data were constructed for both datasets

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Summary

The TOMCAT 3-D model

We use the TOMCAT 3-dimensional global chemical transport model (Arnold et al, 2005; Chipperfield, 2006) to simulate global tropospheric ozone, and calculate sensitivities of Mediterranean tropospheric ozone to different emission sources of ozone precursors. This study uses a newly extended VOC degradation chemistry scheme, which incorporates the oxidation of monoterpenes based on the MOZART-3 scheme (Kinnison et al, 2007) and the oxidation of C2–C4 alkanes, toluene, ethane, propene, acetone, methanol and acetaldebyde based on the ExTC (Extended Tropospheric Chemistry) scheme (Folberth et al, 2006). The implementation of this scheme into TOMCAT is described by Monks (2011). Dry deposition is determined using diurnally and seasonally varying surface-type specific deposition velocities, weighted by prescribed monthly land-cover fields from the NCAR community land model (Oleson et al, 2010)

Evaluation of TOMCAT using surface observations
Evaluation of TOMCAT using satellite observations
Sensitivities of Mediterranean summertime ozone to emission sources
Sensitivities to local sources
Biomass burning
Anthropogenic VOCs
Biogenic VOCs
Anthropogenic NOx
Global sensitivities
Asian emissions
North American emissions
Radiative effects
Conclusions
Full Text
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