Original scientific paper
EVALUATION OF THE OPERATIONAL OZONE FORECAST MODEL OF THE ZAMG WITH MEASUREMENTS OF THE AUSTRIAN AIR QUALITY NETWORK
Marcus Hirtl
; Department of Environmental Meteorology, ZAMG – Central Institute for Meteorology and Geodynamics, Vienna,
Bernd C. Krüger
; Institute of Meteorology, University of Natural Resources and Applied Life Sciences, Vienna, Austria
August Kaiser
; Department of Environmental Meteorology, ZAMG – Central Institute for Meteorology and Geodynamics, Vienna,
Kathrin Baumann-Stanzer
; Department of Environmental Meteorology, ZAMG – Central Institute for Meteorology and Geodynamics, Vienna,
Paul Skomorowski
; Department of Environmental Meteorology, ZAMG – Central Institute for Meteorology and Geodynamics, Vienna,
Helfried Scheifinger
; Department of Environmental Meteorology, ZAMG – Central Institute for Meteorology and Geodynamics, Vienna,
Abstract
Operational model forecasts of ozone concentrations are compared to the observations of about 150 air quality stations in
Austria. Evaluations of the last three summers revealed that exceedances of the information threshold could be predicted quite well by the model. Investigation of a heat period in summer 2006 indicates possible sources of precursors. The Lagrangian particle model LASAT (www.janicke.de) is used additionally to the chemical model CAMx (www.camx.com) to show the dispersion of the
plumes of stacks with high emissions of NOx in the vicinity of Vienna.
For two months in summer 2007 sensitivity studies with different input parameters were performed. Model runs with different
parameterisations for the vertical diffusion coefficient (Kv) are conducted and experiments with different values of the minimum
values of Kv in the lower levels show the influence of this parameter on the nocturnal ozone decrease for different sites. Different
model runs with variable boundary conditions at the top of the modelling domain as well as variable total ozone column data are
performed.
Keywords
ALADIN-CAMx; operational ozone forecasts; evaluation with air quality stations; case studies; sensitivity studies
Hrčak ID:
64163
URI
Publication date:
12.12.2008.
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