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Cited by 277

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

The Wind in the Willows: Flows in Forest Canopies in Complex Terrain

Belcher, Stephen E., Harman, Ian N., Finnigan, John J.·2012·Annual Review of Fluid Mechanics

Abstract

Forest canopies are important components of the terrestrial carbon budget, which has motivated a worldwide effort, FLUXNET, to measure CO 2 exchange between forests and the atmosphere. These measurements are difficult to interpret and to scale up to estimate exchange across a landscape. Here we review the effects of complex terrain on the mean flow, turbulence, and scalar exchange in canopy flows, as exemplified by adjustment to forest edges and hills, including the effects of stable stratification. We focus on the fundamental fluid mechanics, in which developments in theory, measurements, and modeling, particularly through large-eddy simulation, are identifying important processes and providing scaling arguments. These developments set the stage for the development of predictive models that can be used in combination with measurements to estimate exchange at the landscape scale.

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Crossref · 10.1146/annurev-fluid-120710-101036

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Metadata

Authors
Belcher, S. E., Harman, I. N., & Finnigan, J. J.
Venue
Annual Review of Fluid Mechanics
Published
2012-01-21
Volume
44
Issue
1
Pages
479-504
ISSN
  • 0066-4189 (ISSN-L)
  • 1545-4479
OpenAlex
W2102877521
Cited by
277
References
53
FWCI
1.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Wind in the Willows: Flows in Forest Canopies in Complex Terrain. https://app.cochat.ai/papers/10.1146/annurev-fluid-120710-101036
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Belcher, S. E., Harman, I. N., & Finnigan, J. J. (2012). The Wind in the Willows: Flows in Forest Canopies in Complex Terrain. Annual Review of Fluid Mechanics. https://doi.org/10.1146/annurev-fluid-120710-101036

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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.