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Pollution slightly enhances atmospheric cooling by low-level clouds in tropical West Africa

Hahn, Valerian; Meerkötter, Ralf; Voigt, Christiane; Gisinger, Sonja; Sauer, Daniel; Catoire, Valéry; Dreiling, Volker; Coe, Hugh; Flamant, Cyrille; Kaufmann, Stefan; Kleine, Jonas; Knippertz, Peter ORCID iD icon 1; Moser, Manuel; Rosenberg, Philip; Schlager, Hans; Schwarzenboeck, Alfons; Taylor, Jonathan
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract:

Reflection of solar radiation by tropical low-level clouds has an important cooling effect on climate and leads to decreases in surface temperatures. Still, the effect of pollution on ubiquitous tropical continental low-level clouds and the investigation of the related impact on atmospheric cooling rates are poorly constrained by in situ observations and modeling, in particular during the West African summer monsoon season. Here, we present comprehensive in situ measurements of microphysical properties of low-level clouds over tropical West Africa, measured with the Deutsches Zentrum für Luft- und Raumfahrt (DLR) aircraft Falcon 20 during the DACCIWA (Dynamics–Aerosol–Chemistry–Cloud Interactions in West Africa) campaign in June and July 2016. Clouds below 1800 m altitude, identified as boundary layer clouds, were classified according to their carbon monoxide (CO) pollution level into pristine and less polluted clouds (CO < 135 ppbv) and polluted low-level clouds (CO > 155 ppbv) as confirmed by the linear CO to accumulation aerosol number concentration correlation. Whereas slightly enhanced aerosol background levels from biomass burning were measured across the entire area, clouds with substantially enhanced aerosol levels were measured in the outflow of major coastal cities, as well as over rural conurbations in the hinterlands. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000161157
Veröffentlicht am 03.08.2023
Originalveröffentlichung
DOI: 10.5194/acp-23-8515-2023
Scopus
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1680-7324
KITopen-ID: 1000161157
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Atmospheric Chemistry and Physics
Verlag European Geosciences Union (EGU)
Band 23
Heft 15
Seiten 8515–8530
Vorab online veröffentlicht am 01.08.2023
Nachgewiesen in Web of Science
Dimensions
Scopus
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