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Analyzing experimental data and model parameters: implications for predictions of SOA using chemical transport models

Despite critical importance for air quality and climate predictions, accurate representation of secondary organic aerosol (SOA) formation remains elusive. An essential addition to the ongoing discussion of improving model predictions is an acknowledgement of the linkages between experimental conditi...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: K. C. Barsanti, A. G. Carlton, S. H. Chung
Format: Artigo
Sprache:Inglês
Veröffentlicht: Copernicus Publications 2013-12-01
Schriftenreihe:Atmospheric Chemistry and Physics
Online Zugang:http://www.atmos-chem-phys.net/13/12073/2013/acp-13-12073-2013.pdf
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