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Cited by 367

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Estimate of global atmospheric organic aerosol from oxidation of biogenic hydrocarbons

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Griffin, Robert J., Cocker, David R., Seinfeld, John H., Dabdub, Donald·1999·Geophysical Research Letters

Abstract

The results from a series of outdoor chamber experiments establishing the atmospheric aerosol‐forming potential of fourteen terpenoid hydrocarbons have been used to estimate the annual amount of secondary organic aerosol formed globally from compounds emitted by vegetation. Hydroxyl radical, ozone, and nitrate radical oxidation each contribute to aerosol formation in full‐photooxidation experiments; because oxidation by nitrate radical under ambient, remote conditions is likely to be negligible, parameters describing aerosol formation from hydroxyl radical and ozone reaction only are developed. Chamber results, temporally and spatially resolved, compound‐specific estimates of biogenic hydrocarbon emissions, and hydroxyl radical and ozone fields are combined to lead to an estimate for atmospheric secondary organic aerosol formed annually from biogenic precursors of 18.5 Tg, a number smaller than the previously published estimate of 30–270 Tg [Andreae and Crutzen, 1997].

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Metadata

Authors
Griffin, R. J., Cocker, D. R., Seinfeld, J. H., & Dabdub, D.
Venue
Geophysical Research Letters
Published
1999-09
Volume
26
Issue
17
Pages
2721-2724
ISSN
  • 0094-8276 (ISSN-L)
  • 1944-8007
OpenAlex
W2126894581
Cited by
367
References
0
FWCI
6.75
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Estimate of global atmospheric organic aerosol from oxidation of biogenic hydrocarbons. https://app.cochat.ai/papers/10.1029/1999gl900476
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Griffin, R. J., Cocker, D. R., Seinfeld, J. H., & Dabdub, D. (1999). Estimate of global atmospheric organic aerosol from oxidation of biogenic hydrocarbons. Geophysical Research Letters. https://doi.org/10.1029/1999gl900476

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.