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Estimated tropospheric ozone levels on the southeast Spanish Mediterranean coast
Affiliation:1. Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS), Earth Sciences Department, Jordi Girona 29, Edificio Nexus II, 08034 Barcelona, Spain;2. Environmental Modelling Laboratory, Technical University of Catalonia, Avda. Diagonal 647, Edificio H, Oficina 10.23, 08028 Barcelona, Spain;1. Centro Universitario de la Defensa (CUD) de Zaragoza, Academia General Militar, Ctra. de Huesca s/n, E-50090 Zaragoza, Spain;2. Instituto Universitario Centro de Estudios Ambientales del Mediterráneo (CEAM-UMH), Parque Tecnológico C/Charles R. Darwin 14, E-46980 Paterna, Spain;1. Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS), Earth Sciences Department, Jordi Girona 29, Edificio Nexus II, 08034 Barcelona, Spain;2. TNO Department Climate Air, and Sustainability, Utrecht, The Netherlands;3. Environmental Modelling Laboratory, Technical University of Catalonia, Avda. Diagonal 647, Edificio H, Oficina 10.23, 08028 Barcelona, Spain;1. Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece;2. Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands;3. Belgian Institute for Space Aeronomy, Brussels, Belgium;4. German Aerospace Center, Remote Sensing Technology Institute, Germany;5. Institute of Environmental Physics, University of Bremen, Bremen, Germany;6. NASA Goddard Space Flight Center, Greenbelt, MD, USA;7. Earth System Science Interdisciplinary Center, College Park, MD, USA;1. ENEA, Casaccia, Rome, Italy;2. ACRI-HE, Sophia Antipolis-Cedex, France;3. CREA-RPS, Rome, Italy;4. FMI, Helsinki, Finland;5. CNR, Florence, Italy
Abstract:The objective of this study is to estimate the spatial variability of tropospheric ozone in an area using a simple model. The area in this case was applied in the western Mediterranean basin. The study period was from May to September in 2003 and 2004.A multiple linear regression between ozone concentrations, altitude and distance to the precursor sources in a fluvial basin can be used to estimate ozone values at other sites during the warmer seasons. The correlation coefficients obtained with 2-week ozone values measured at five points with a passive sampling technique were high enough to apply the model (0.77<r<0.99).To verify the model, ozone concentrations were measured with passive samplers and continuous analyzers at some selected sites, and the values were compared with the estimated concentration. The results of the validations were satisfactory, in 80% of the measurements the estimated levels differ from measured less than 20%, which is included in the bound error for the type of sampler used in this study.
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