Person: Nordmann, Stephan
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Veröffentlichung Luftqualität 2017(2018) Dauert, Ute; Feigenspan, Stefan; Himpel, Thomas; Kessinger, Susan; Minkos, Andrea; Nordmann, StephanDiese Auswertung der Luftqualität im Jahr 2017 in Deutschland basiert auf vorläufigen, noch nicht abschließend geprüften Daten aus den Luftmessnetzen der Bundesländer und des Umweltbundesamtes, Stand 23.01.2018. Aufgrund der umfangreichen Qualitätssicherung in den Messnetzen stehen die endgültigen Daten erst Mitte 2018 zur Verfügung. Die jetzt vorliegenden Daten lassen aber eine generelle Einschätzung des vergangenen Jahres zu. Betrachtet werden die Schadstoffe Feinstaub (PM10 und PM2,5), Stickstoffdioxid (NO2) sowie Ozon (O3), da bei diesen nach wie vor Überschreitungen der geltenden Grenz- und Zielwerte zum Schutz der menschlichen Gesundheit auftreten. Quelle: https://www.umweltbundesamt.deVeröffentlichung Air quality 2017(2018) Dauert, Ute; Feigenspan, Stefan; Himpel, Thomas; Kessinger, Susan; Minkos, Andrea; Nordmann, StephanThis evaluation of air quality in Germany in the year 2017 is based on preliminary data which has not yet been conclusively audited from the air monitoring networks of the federal states and the UBA, valid on 23rd January 2018. Due to the comprehensive quality assurance within the monitoring networks, the final data will only be available in mid-2018. The currently available data allows for a general assessment of the past year. The following pollutants were subject to consideration: particulate matter (PM10 and PM2.5), nitrogen dioxide (NO2) and ozone (O3), since, the limit and target values for the protection of human health are still exceeded for such substances. Quelle: https://www.umweltbundesamt.deVeröffentlichung Dynamic evaluation of modeled ozone concentrations in Germany with four chemistry transport models(2023) Thürkow, Markus; Schaap, Martijn; Minkos, Andrea; Kranenburg, Richard; Nordmann, StephanSimulating the ozone variability at regional scales using chemistry transport models (CTMs) remains a challenge. We designed a multi-model intercomparison to evaluate, for the first time, four regional CTMs on a national scale for Germany. Simulations were conducted with LOTOS-EUROS, REM-CALGRID, COSMO-MUSCAT and WRF-Chem for January 1st to December 31st, 2019, using prescribed emission information. In general, all models show good performance in the operational evaluation with average temporal correlations of MDA8 O3 in the range of 0.77-0.87 and RMSE values between 16.3 (micro)g m-3 and 20.6 (micro)g m-3. On average, better models' skill has been observed for rural background stations than for the urban background stations as well as for springtime compared to summertime. Our study confirms that the ensemble mean provides a better model-measurement agreement than individual models. All models capture the larger local photochemical production in summer compared to springtime and observed differences between the urban and the rural background. We introduce a new indicator to evaluate the dynamic response of ozone to temperature. During summertime a large ensemble spread in the ozone sensitivities to temperature is found with (on average) an underestimation of the ozone sensitivity to temperature, which can be linked to a systematic underestimation of mid-level ozone concentrations. During springtime we observed an ozone episode that is not covered by the models which is likely due to deficiencies in the representation of background ozone in the models. We recommend to focus on a diagnostic evaluation aimed at the model descriptions for biogenic emissions and dry deposition as a follow up and to repeat the operational and dynamic analysis for longer timeframes. © 2023 The Authors