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RESEARCH ARTICLE

A global model study of ozone enhancement during the August 2003 heat wave in Europe

G. Guerova A B C and N. Jones A
+ Author Affiliations
- Author Affiliations

A Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, NSW 2522, Australia.

B Laboratoire de Modélisation de la Chimie Atmosphérique, EPFL Lausanne, Switzerland.

C Corresponding author. Email: guergana@uow.edu.au

Environmental Chemistry 4(5) 285-292 https://doi.org/10.1071/EN07027
Submitted: 20 March 2007  Accepted: 25 September 2007   Published: 2 November 2007

Environmental context. During the 2003 European summer, record high temperatures were measured and some regions experienced 14 consecutive days with maximum temperatures above 35°C, thus triggering a heat wave. The prolonged heat and strong insolation facilitated the build up of exceptionally long-lasting and spatially extensive episodes of high ozone concentrations close to the surface. Ozone is a very reactive pollutant with known effects on both human and vegetation health. It is important to build robust models that can predict its concentration in a similar manner to which weather prediction models operate.

Abstract. The European summer of 2003 was characterised by intense heat, prolonged isolation and suppressed ventilation of the boundary layer which, combined with large anthropogenic emissions and strong fires, resulted in a build up of an unprecedentedly high and long-lasting photochemical smog over large parts of the continent. In this work, a global chemistry and transport model GEOS-Chem is compared with surface O3 concentrations observed in 2003 in order to examine the extent to which the model is capable of reproducing such an extreme event. The GEOS-Chem reproduces the temporal variation of O3 at the Jungfraujoch mountain site, Switzerland, including the enhanced concentrations associated with the August 2003 heat wave (r = 0.84). The spatial distribution of the enhanced surface O3 over Spain, France, Germany and Italy is also captured to some extent (r = 0.63), although the largest concentrations appear to be located over the Italian Peninsula in the model rather than over Central Europe as suggested by the surface O3 observations. In general, the observed differences between the European averaged O3 concentrations in the summer of 2003 to those in 2004 are larger in the observations than in the model, as the model reproduces relatively well the enhanced levels in 2003 but overestimates those observed in 2004. Preliminary contributions of various sources to the O3 surface concentrations over Europe during the heat wave indicate that anthropogenic emissions from Europe contribute the most to the O3 build up near the surface (40 to 50%, i.e. 30 ppb). The contribution from anthropogenic emissions from the other major source regions of the northern hemisphere, in particular North America, tends to be smaller than those of other years. The model indicates that the large fires that occurred in that year contributed up to 5% (3 ppb) to surface O3 in close proximity to the fire regions and less elsewhere in Europe. Biogenic volatile organic compounds (VOCs) emitted by grass and forest areas contributed up to 10% (5–6 ppb) of surface O3 over France, Germany and northern Italy, which represents a contribution that is twice as large than that found in 2004. These results in terms of contributions from various sources, particularly biogenic emissions, should be seen as preliminary, as the response of vegetation to such extreme events may not be well represented in the model.

Additional keywords: chemical weather, global chemistry, model simulations, photochemical smog.


Acknowledgement

The GEOS-Chem model is managed by the Atmospheric Chemistry Modelling Group at Harvard University with support from the NASA Atmospheric Chemistry Modelling and Analysis Program. Isabelle Bey and Daniel Jacob were very helpful in shaping the manuscript as well as discussions with G. Gurci on isoprene emissions and M. Suarez on surface temperature. The air quality network NABEL and the Swiss Agency of Environment, Forest and Landscape (SAEFL) are acknowledged for granting access to the observations at the Jungfraujoch site. We acknowledge the European Environment Agency for providing the EIONET data. We are grateful to the Australian Partnership for Advanced Computing (APAC) for significant computing resources and support. We thank three anonymous reviewers who provided thoughtful comments.


References


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