The DOI matches its Crossref record.
Anomalies in flux-gradient relationships over forest
Overview
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Citations
Cited by
Arnfield, A. J. (2003) · International Journal of Climatology · doi:10.1002/joc.859 · Cited by 3,543
Coherent eddies and turbulence in vegetation canopies: The mixing-layer analogy
Raupach, M. R., Finnigan, J. J., & Brunei, Y. (1996) · Boundary-Layer Meteorology · doi:10.1007/bf00120941 · Cited by 984
Self-citation
Metadata
- Authors
- Raupach, M. R.
- Venue
- Boundary-Layer Meteorology
- Published
- 1979-12
- Volume
- 16
- Issue
- 4
- Pages
- 467-486
- ISSN
- 0006-8314 (ISSN-L)
- 1573-1472
- OpenAlex
- W2003993670
- Cited by
- 241
- References
- 0
- FWCI
- 8.53
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Anomalies in flux-gradient relationships over forest. https://app.cochat.ai/papers/10.1007/bf03163564
- The paper
- Raupach, M. R. (1979). Anomalies in flux-gradient relationships over forest. Boundary-Layer Meteorology. https://doi.org/10.1007/bf03163564
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.