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Aerosol composition, air quality, and boundary layer dynamics in the urban background of Stuttgart in winter

Zhang, Hengheng ORCID iD icon 1; Huang, Wei 1; Shen, Xiaoli 1; Ramisetty, Ramakrishna 1; Song, Junwei ORCID iD icon 1; Kiseleva, Olga 1; Holst, Christopher Claus ORCID iD icon 2; Khan, Basit 2; Leisner, Thomas ORCID iD icon 1; Saathoff, Harald ORCID iD icon 1
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract:

Aerosol distributions are of great relevance for air quality, especially for cities like Stuttgart, which
has limited air exchange due to its location in a basin. We collected a comprehensive set of data from remote
sensing and in situ methods including radiosondes for the urban background of downtown Stuttgart to determine
the impact of boundary layer mixing processes on local air quality and to evaluate the simulation results of the
high-resolution large eddy simulation (LES) model PALM-4U at 10 m grid spacing. Stagnant meteorological
conditions caused accumulation of aerosols, and chemical composition analysis shows that ammonium nitrate
(37 ± 9 %) and organic aerosol (OA; 34 ± 9 %) dominated during this winter study. Case studies show that clouds
during previous nights can weaken temperature inversion and accelerate boundary layer mixing after sunrise by
up to 3 h. This is important for ground-level aerosol dilution during the morning rush hour. Furthermore, our
observations validate results of the LES model PALM-4U in terms of boundary layer heights and aerosol mixing
for 48 h. The simulated aerosol concentrations follow the trend of our observations but are still underestimated
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Verlagsausgabe §
DOI: 10.5445/IR/1000177522
Veröffentlicht am 18.12.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF)
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 1680-7324
KITopen-ID: 1000177522
HGF-Programm 12.11.12 (POF IV, LK 01) Atmospheric chemistry processes
Erschienen in Atmospheric Chemistry and Physics
Verlag European Geosciences Union (EGU)
Band 24
Heft 18
Seiten 10617–10637
Vorab online veröffentlicht am 23.09.2024
Nachgewiesen in Scopus
Web of Science
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