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Cited by 3,902

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Emission of trace gases and aerosols from biomass burning

Andreae, M. O., Merlet, P.·2001·Global Biogeochemical Cycles

Abstract

A large body of information on emissions from the various types of biomass burning has been accumulated over the past decade, to a large extent as a result of International Geosphere‐Biosphere Programme/International Global Atmospheric Chemistry research activities. Yet this information has not been readily accessible to the atmospheric chemistry community because it was scattered over a large number of publications and reported in numerous different units and reference systems. We have critically evaluated the presently available data and integrated these into a consistent format. On the basis of this analysis we present a set of emission factors for a large variety of species emitted from biomass fires. Where data were not available, we have proposed estimates based on appropriate extrapolation techniques. We have derived global estimates of pyrogenic emissions for important species emitted by the various types of biomass burning and compared our estimates with results from inverse modeling studies.

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Metadata

Authors
Andreae, M. O., & Merlet, P.
Venue
Global Biogeochemical Cycles
Published
2001-12
Volume
15
Issue
4
Pages
955-966
ISSN
  • 0886-6236 (ISSN-L)
  • 1944-9224
OpenAlex
W2044499383
Cited by
3,902
References
1
FWCI
47.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Emission of trace gases and aerosols from biomass burning. https://app.cochat.ai/papers/10.1029/2000gb001382
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Andreae, M. O., & Merlet, P. (2001). Emission of trace gases and aerosols from biomass burning. Global Biogeochemical Cycles. https://doi.org/10.1029/2000gb001382

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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.