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| Titel |
Evaluation of the high resolution WRF-Chem (v3.4.1) air quality forecast and its comparison with statistical ozone predictions |
| VerfasserIn |
R. Zabkar, L. Honzak, G. Skok, R. Forkel, J. Rakovec, A. Ceglar, N. Žagar |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 7 ; Nr. 8, no. 7 (2015-07-16), S.2119-2137 |
| Datensatznummer |
250116456
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| Publikation (Nr.) |
 copernicus.org/gmd-8-2119-2015.pdf |
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| Zusammenfassung |
| An integrated modelling system based on the regional online coupled
meteorology–atmospheric chemistry WRF-Chem model configured with two nested
domains with horizontal resolutions of 11.1 and 3.7 km has been applied for
numerical weather prediction and for air quality forecasts in Slovenia. In the
study, an evaluation of the air quality forecasting system has been performed
for summer 2013. In the case of ozone (O3) daily maxima, the first- and
second-day model predictions have been also compared to the operational
statistical O3 forecast and to the persistence. Results of discrete and
categorical evaluations show that the WRF-Chem-based forecasting system is
able to produce reliable forecasts which, depending on monitoring site and
the evaluation measure applied, can outperform the statistical model. For
example, the correlation coefficient shows the highest skill for WRF-Chem
model O3 predictions, confirming the significance of the non-linear
processes taken into account in an online coupled Eulerian model. For some
stations and areas biases were relatively high due to highly complex terrain
and unresolved local meteorological and emission dynamics, which contributed
to somewhat lower WRF-Chem skill obtained in categorical model evaluations.
Applying a bias correction could further improve WRF-Chem model forecasting
skill in these cases. |
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