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Cited by 313

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

How important is biological ice nucleation in clouds on a global scale?

Open access
Hoose, C, Kristjánsson, J E, Burrows, S M·2010·Environmental Research Letters

Abstract

The high ice nucleating ability of some biological particles has led to speculations about living and dead organisms being involved in cloud ice and precipitation formation, exerting a possibly significant influence on weather and climate. In the present study, the role of primary biological aerosol particles (PBAPs) as heterogeneous ice nuclei is investigated with a global model. Emission parametrizations for bacteria, fungal spores and pollen based on recent literature are introduced, as well as an immersion freezing parametrization based on classical nucleation theory and laboratory measurements. The simulated contribution of PBAPs to the global average ice nucleation rate is only 10 − 5 %, with an uppermost estimate of 0.6%. At the same time, observed PBAP concentrations in air and biological ice nucleus concentrations in snow are reasonably well captured by the model. This implies that 'bioprecipitation' processes (snow and rain initiated by PBAPs) are of minor importance on the global scale.

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Metadata

Authors
Hoose, C., Kristjánsson, J. E., & Burrows, S. M.
Venue
Environmental Research Letters
Published
2010-04
Volume
5
Issue
2
Pages
024009
ISSN
1748-9326 (ISSN-L)
OpenAlex
W2145192043
Cited by
313
References
41
FWCI
14.29
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: How important is biological ice nucleation in clouds on a global scale? https://app.cochat.ai/papers/10.1088/1748-9326/5/2/024009
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Hoose, C., Kristjánsson, J. E., & Burrows, S. M. (2010). How important is biological ice nucleation in clouds on a global scale? Environmental Research Letters. https://doi.org/10.1088/1748-9326/5/2/024009

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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.