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Trends in near-surface ozone concentrations in Switzerland: the 1990s
Affiliation:1. Institute of Geography, University of Bern, Hallerstrasse 12, CH-3012 Bern, Switzerland;2. Lunar and Planetary Laboratory, University of Arizona, P.O. Box 210092, Tucson, AZ 85721-0092, USA;3. Swiss Federal Laboratories for Materials Testing and Research, Überlandstr. 129, CH-8600 Dübendorf, Switzerland;1. Department of Psychology, University of New Mexico, Albuquerque, NM, United States;2. Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, United States;3. Mt. Hope Family Center, University of Rochester, Rochester, NY, United States;4. Department of Anatomy and Neurobiology, University of Tennessee Health Sciences Center, Memphis, TN, United States;1. National Center for Atmospheric Research (NCAR), Boulder, CO, USA;2. University of Arizona, Tucson, AZ, USA;3. NASA Goddard Space Flight Center, Greenbelt, MD, USA;4. NILU, Kjeller, Norway
Abstract:A time series analysis of ozone monitoring data from several locations in Switzerland from 1991 to 1999 is presented. Different methods are used to address changes in the ozone level during these years and to account for the influence of changing meteorological conditions. The results show a slight decrease of the peaks but a highly significant increase of the mean value of around 0.5–0.9 ppb yr−1. The frequency distribution has changed in the sense that very low values have become less frequent and that there is a strong increase in frequency of occurrence of half-hourly mean values between about 45 and 55 ppb. A selection procedure reveals slight tendencies towards different trends of afternoon ozone peaks in summer depending on weather and pollution situations. Ozone peaks tend to decrease on fair weather days at rural sites (but increase at urban sites) and show a small increase on cloudy and windy days. A non-linear regression model is used to estimate trends of summertime afternoon ozone peaks in the presence of meteorological variability. In the model, the long-term signal is additively split into a linear part and a part which is modulated by global radiation. The coefficients for both terms are statistically significant at many sites, with an increasing linear trend at the sites north of the Alps of around 1 ppb yr−1 and a decrease of ozone peaks under fair weather conditions relative to cloudy conditions. When additionally considering the effect of precursor concentrations in the regression models, both trends are weakened, which means that they can partly be explained by changes in local to regional emissions. However, at the sites north of the Alps remains a tendency towards a positive linear “base trend” of around 0.4 ppb yr−1. This could possibly be due to increasing background ozone concentrations.
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