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Publikationstyp
Teil eines Buches
Conference proceedings
Conference proceedings
Erscheinungsjahr
2019
Improvement of the predictive quality of CAMS forecasts for ozone and PM10 in comparison with measured values
Improvement of the predictive quality of CAMS forecasts for ozone and PM10 in comparison with measured values
Autor:innen
Herausgeber
Quelle
19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes
19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes
(2019)
19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes
(2019)
Schlagwörter
Vorhersage, Ozon, PM10
Zitation
NEUNHÄUSERER, Lina, Volker DIEGMANN, Yvonne BREITENBACH und Stephan NORDMANN, 2019. Improvement of the predictive quality of CAMS forecasts for ozone and PM10 in comparison with measured values. In: 19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes [online]. Verfügbar unter: https://openumwelt.de/handle/123456789/4556
Zusammenfassung englisch
The Copernicus Atmosphere Monitoring Service (CAMS) provides, inter alia, daily forecasts for the next 96 hours in hourly resolution for various pollutants. These forecasts are based on the results of chemical transport models and their ensemble. Due to their horizontal grid resolution, the CAMS ensemble usually provides too low maximum ozone concentrations in comparison with measurements at background stations. This has a negative impact on the correct prediction of threshold value exceedances at very high ozone concentrations. The project presented here explored to what extent the predictive quality of CAMS ozone forecasts for Germany can be improved by post-processing with different correction techniques, particularly with regard to the detection of limit value exceedances. In addition, interpolation of the correction factors derived at measurement locations onto the CAMS grid and subsequent correction of the CAMS forecasts are discussed. A corresponding study was carried out for CAMS PM10 forecasts. © 2019 Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO. All rights reserved.