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Journal of Geophysical Research Atmospheres
Article . 1998 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Eddy covariance measurement of isoprene fluxes

Authors: Guenther, Alex B; Hills, Alan J;

Eddy covariance measurement of isoprene fluxes

Abstract

A system has been developed to directly measure isoprene flux above a forest canopy by eddy covariance using the combination of a fast response, real‐time isoprene sensor and sonic anemometer. This system is suitable for making nearly unattended, long‐term, and continuous measurements of isoprene fluxes. Isoprene detection is based on chemiluminescence between isoprene and reactant ozone, which produces green light at 500 nm. The sensor has a noise level (1σ) of 450 pptv for a 1‐s integration which is dominated by random high‐frequency noise that does not significantly degrade eddy covariance flux measurements. Interference from the flux of other compounds is primarily due to the emission of monoterpenes, propene, ethene, and methyl butenol and the deposition of methacrolein and methyl vinyl ketone. The average total interference for North American landscapes in midday summer is estimated to be about 5% for emissions and −3% for deposition fluxes. In only a few North American landscapes, where isoprene emissions are very low and methyl butenol emissions are high, are interferences predicted to be significant. The system was field tested on a tower above a mixed deciduous forest canopy (Duke Forest, North Carolina, U.S.A.) dominated by oak trees, which are strong isoprene emitters. Isoprene fluxes were estimated for 307 half‐hour sampling periods over 10 days. Daytime fluxes ranging from 1 to 14 mg C m−2 h−1 were strongly correlated with light and temperature. The daytime mean flux of 6 mg C m−2 h−1 is similar to previous estimates determined by relaxed eddy accumulation by Geron et al [1997] at this site. Nighttime fluxes were near zero (0.01±0.03 mg C m−2 h−1).

Country
United States
Keywords

37 Earth Sciences (for-2020), Meteorology & Atmospheric Sciences, 3701 Atmospheric Sciences (for-2020), 40 Engineering (for-2020), Meteorology & Atmospheric Sciences (science-metrix)

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
98
Top 10%
Top 10%
Top 10%
Green
hybrid