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Is regional air quality model diversity representative of uncertainty for ozone simulation?
SMHI, Research Department, Air quality.ORCID iD: 0000-0003-2910-747X
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2006 (English)In: Geophysical Research Letters, ISSN 0094-8276, E-ISSN 1944-8007, Vol. 33, no 24, L24818Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2006. Vol. 33, no 24, L24818
National Category
Meteorology and Atmospheric Sciences
Research subject
Environment
Identifiers
URN: urn:nbn:se:smhi:diva-775DOI: 10.1029/2006GL027610ISI: 000243344000002OAI: oai:DiVA.org:smhi-775DiVA: diva2:807664
Available from: 2015-04-24 Created: 2015-04-22 Last updated: 2016-01-22Bibliographically approved

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