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| Titel |
Comparing three vegetation monoterpene emission models to measured gas concentrations with a model of meteorology, air chemistry and chemical transport |
| VerfasserIn |
S. Smolander, Q. He, D. Mogensen, L. Zhou, J. Bäck, T. Ruuskanen, S. Noe, A. Guenther, H. Aaltonen, M. Kulmala  , M. Boy |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 11, no. 19 ; Nr. 11, no. 19 (2014-10-07), S.5425-5443 |
| Datensatznummer |
250117627
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| Publikation (Nr.) |
 copernicus.org/bg-11-5425-2014.pdf |
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| Zusammenfassung |
| Biogenic volatile organic compounds (BVOCs) are essential in atmospheric
chemistry because of their chemical reactions that produce and destroy
tropospheric ozone, their effects on aerosol formation and growth, and their
potential influence on global warming. As one of the important BVOC groups,
monoterpenes have been a focus of scientific attention in atmospheric
research. Detailed regional measurements and model estimates are needed to
study emission potential and the monoterpene budget on a global scale. Since
the use of empirical measurements for upscaling is limited by many physical
and biological factors, such as genetic variation, temperature and light,
water availability, seasonal changes, and environmental stresses,
comprehensive inventories over larger areas are difficult to obtain. We
applied the boundary-layer–chemistry-transport model SOSA (model to Simulate the concentrations of
Organic vapours and Sulphuric Acid) to investigate
Scots pine (Pinus sylvestris) monoterpene emissions in a boreal coniferous forest at the
SMEAR (Station for Measuring forest
Ecosystem–Atmosphere Relations) II site, southern Finland. SOSA was applied to simulate monoterpene
emissions with three different emission modules: the semiempirical G95,
MEGAN (Model of Emissions of Gases and
Aerosols from Nature) 2.04 with improved descriptions of temperature and light responses and
including also carbonyl emissions, and a process-based model SIM–BIM (Seasonal
Isoprenoid synthase Model – Biochemical Isoprenoid biosynthesis Model). For
the first time, the emission models included seasonal and diurnal variations
in both quantity and chemical species of emitted monoterpenes, based on
parameterizations obtained from field measurements. Results indicate that
modelling and observations agreed reasonably well and that the model can be
used for investigating regional air chemistry questions related to
monoterpenes. The predominant modelled monoterpene concentrations, α-pinene and Δ3-carene, are consistent with observations. |
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