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Cited by 477

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

High Natural Aerosol Loading over Boreal Forests

Tunved, P., Hansson, H.-C., Kerminen, V.-M., Ström, J., Maso, M. Dal, Lihavainen, H., Viisanen, Y., Aalto, P. P., Komppula, M., Kulmala, M.·2006·Science

Abstract

Aerosols play a key role in the radiation balance of the atmosphere. Here, we present evidence that the European boreal region is a substantial source of both aerosol mass and aerosol number. The investigation supplies a straightforward relation between emissions of monoterpenes and gas-to-particle formation over regions substantially lacking in anthropogenic aerosol sources. Our results show that the forest provides an aerosol population of 1000 to 2000 particles of climatically active sizes per cubic centimeter during the late spring to early fall period. This has important implications for radiation budget estimates and relevancy for the evaluation of feedback loops believed to determine our future climate.

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Registry

Crossref · 10.1126/science.1123052

Cites

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Metadata

Authors
Tunved, P., Hansson, H.-C., Kerminen, V.-M., Ström, J., Maso, M. D., Lihavainen, H., Viisanen, Y., Aalto, P. P., Komppula, M., & Kulmala, M.
Venue
Science
Published
2006-04-14
Volume
312
Issue
5771
Pages
261-263
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2018735695
Cited by
477
References
14
FWCI
24.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: High Natural Aerosol Loading over Boreal Forests. https://app.cochat.ai/papers/10.1126/science.1123052
The paper
Tunved, P., Hansson, H.-C., Kerminen, V.-M., Ström, J., Maso, M. D., Lihavainen, H., Viisanen, Y., Aalto, P. P., Komppula, M., & Kulmala, M. (2006). High Natural Aerosol Loading over Boreal Forests. Science. https://doi.org/10.1126/science.1123052

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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.