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Titel |
FORest Canopy Atmosphere Transfer (FORCAsT) 1.0: a 1-D model of biosphere–atmosphere chemical exchange |
VerfasserIn |
K. Ashworth, S. H. Chung, R. J. Griffin, J. Chen, R. Forkel, A. M. Bryan, A. L. Steiner |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1991-959X
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Digitales Dokument |
URL |
Erschienen |
In: Geoscientific Model Development ; 8, no. 11 ; Nr. 8, no. 11 (2015-11-26), S.3765-3784 |
Datensatznummer |
250116669
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Publikation (Nr.) |
copernicus.org/gmd-8-3765-2015.pdf |
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Zusammenfassung |
Biosphere–atmosphere interactions play a critical role in governing
atmospheric composition, mediating the concentrations of key species such as
ozone and aerosol, thereby influencing air quality and climate. The exchange
of reactive trace gases and their oxidation products (both gas and particle
phase) is of particular importance in this process. The FORCAsT (FORest
Canopy Atmosphere Transfer) 1-D model is developed to study the emission,
deposition, chemistry and transport of volatile organic compounds (VOCs) and
their oxidation products in the atmosphere within and above the forest
canopy. We include an equilibrium partitioning scheme, making FORCAsT one of
the few canopy models currently capable of simulating the formation of
secondary organic aerosols (SOAs) from VOC oxidation in a forest environment.
We evaluate the capability of FORCAsT to reproduce observed concentrations of
key gas-phase species and report modeled SOA concentrations within and above
a mixed forest at the University of Michigan Biological Station (UMBS) during
the Community Atmosphere-Biosphere Interactions Experiment (CABINEX) field
campaign in the summer of 2009. We examine the impact of two different
gas-phase chemical mechanisms on modelled concentrations of short-lived
primary emissions, such as isoprene and monoterpenes, and their oxidation
products. While the two chemistry schemes perform similarly under
high-NOx conditions, they diverge at the low levels of NOx at UMBS.
We identify peroxy radical and alkyl nitrate chemistry as the key causes of
the differences, highlighting the importance of this chemistry in
understanding the fate of biogenic VOCs (bVOCs) for both the modelling and
measurement communities. |
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