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AGU: Geophysical Research Letters

 

Keywords

  • ensemble model
  • ozone
  • regional air quality

Index Terms

  • Atmospheric Composition and Structure: Pollution: urban and regional
  • Atmospheric Composition and Structure: Troposphere: constituent transport and chemistry

Abstract

GEOPHYSICAL RESEARCH LETTERS, VOL. 33, L24818, 5 PP., 2006
doi:10.1029/2006GL027610

Is regional air quality model diversity representative of uncertainty for ozone simulation?

R. Vautard

Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre Simon Laplace Laboratoire, CEA, CNRS, UVSQ, Gif-sur-Yvette, France

M. Van Loon

European Monitoring and Evaluation Programme, Meteorological Synthesizing Centre-West, Oslo, Norway

M. Schaap

Built Environment and Geosciences, Netherlands Organization for Applied Scientific Research, Apeldoorn, Netherlands

R. Bergström

Swedish Meteorological and Hydrological Institute, Norrköping, Sweden

B. Bessagnet

Institute National de l'Environnement Industriel et des Risques, Verneuil en Halatte, France

J. Brandt

National Environmental Research Institute, Roskilde, Denmark

P. J. H. Builtjes

Built Environment and Geosciences, Netherlands Organization for Applied Scientific Research, Apeldoorn, Netherlands

J. H. Christensen

National Environmental Research Institute, Roskilde, Denmark

C. Cuvelier

European Commission-Directorate General Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy

A. Graff

Umweltbundesamt, Berlin, Germany

J. E. Jonson

Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre Simon Laplace Laboratoire, CEA, CNRS, UVSQ, Gif-sur-Yvette, France

M. Krol

Netherlands Institute for Space Research, Utrecht, Netherlands

J. Langner

Swedish Meteorological and Hydrological Institute, Norrköping, Sweden

P. Roberts

Health Safety and Environment Department, Shell Global Solutions, Conservation of Clean Air and Water in Europe, Chester, UK

L. Rouil

Institute National de l'Environnement Industriel et des Risques, Verneuil en Halatte, France

R. Stern

Institut für Meteorologie, Freie Universität, Berlin, Germany

L. Tarrasón

European Monitoring and Evaluation Programme, Meteorological Synthesizing Centre-West, Oslo, Norway

P. Thunis

European Commission-Directorate General Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy

E. Vignati

European Commission-Directorate General Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy

L. White

Conservation of Clean Air and Water in Europe, Haywards Heath, UK

P. Wind

European Monitoring and Evaluation Programme, Meteorological Synthesizing Centre-West, Oslo, Norway

We examine whether seven state-of-the-art European regional air quality models provide daily ensembles of predicted ozone maxima that encompass observations. Using tools borrowed from the evaluation of ensemble weather forecasting, we analyze statistics of simulated ensembles of ozone daily maxima over an entire summer season. Although the model ensemble overestimates ozone, the distribution of simulated concentrations is representative of the uncertainty. The spread of simulations is due to random fluctuations resulting from differences in model formulations and input data, but also to the spread between individual model systematic biases. The ensemble average skill increases as the spread decreases. The skill of the ensemble in giving probabilistic predictions of threshold exceedances is also demonstrated. These results allow for optimism about the ability of this ensemble to simulate the uncertainty of the impact of emission control scenarios.

Received 18 July 2006; accepted 19 October 2006; published 30 December 2006.

Citation: Vautard, R., et al. (2006), Is regional air quality model diversity representative of uncertainty for ozone simulation?, Geophys. Res. Lett., 33, L24818, doi:10.1029/2006GL027610.

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