The DOI matches its Crossref record.
Correction of flux measurements for density effects due to heat and water vapour transfer
Abstract
When the atmospheric turbulent flux of a minor constituent such as CO2 (or of water vapour as a special case) is measured by either the eddy covariance or the mean gradient technique, account may need to be taken of variations of the constituent's density due to the presence of a flux of heat and/or water vapour. In this paper the basic relationships are discussed in the context of vertical transfer in the lower atmosphere, and the required corrections to the measured flux are derived. If the measurement involves sensing of the fluctuations or mean gradient of the constituent's mixing ratio relative to the dry air component, then no correction is required; while with sensing of the constituent's specific mass content relative to the total moist air, a correction arising from the water vapour flux only is required. Correspondingly, if in mean gradient measurements the constituent's density is measured in air from different heights which has been pre‐dried and brought to a common temperature, then again no correction is required; while if the original (moist) air itself is brought to a common temperature, then only a correction arising from the water vapour flux is required. If the constituent's density fluctuations or mean gradients are measured directly in the air in situ, then corrections arising from both heat and water vapour fluxes are required. These corrections will often be very important. That due to the heat flux is about five times as great as that due to an equal latent heat (water vapour) flux. In CO2 flux measurements the magnitude of the correction will commonly exceed that of the flux itself. The correction to measurements of water vapour flux will often be only a few per cent but will sometimes exceed 10 per cent.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Fairall, C. W., Bradley, E. F., Rogers, D. P., Edson, J. B., & Young, G. S. (1996) · Journal of Geophysical Research: Oceans · doi:10.1029/95jc03205 · Cited by 2,122
Baldocchi, D. (2008) · Australian Journal of Botany · doi:10.1071/bt07151 · Cited by 1,123
Persson, P. O. G., Fairall, C. W., Andreas, E. L., Guest, P. S., & Perovich, D. K. (2002) · Journal of Geophysical Research: Oceans · doi:10.1029/2000jc000705 · Cited by 499
Annual cycles of water vapour and carbon dioxide fluxes in and above a boreal aspen forest
BLACK, T. A., DEN HARTOG, G., NEUMANN, H. H., BLANKEN, P. D., YANG, P. C., RUSSELL, C., NESIC, Z., LEE, X., CHEN, S. G., STAEBLER, R., et al. (1996) · Global Change Biology · doi:10.1111/j.1365-2486.1996.tb00074.x · Cited by 429
Leuning, R., Cleugh, H. A., Zegelin, S. J., & Hughes, D. (2005) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2004.12.004 · Cited by 371
Self-citation
Metadata
- Authors
- Webb, E. K., Pearman, G. I., & Leuning, R.
- Venue
- Quarterly Journal of the Royal Meteorological Society
- Publisher
- Wiley
- Published
- 1980-01
- Volume
- 106
- Issue
- 447
- Pages
- 85-100
- ISSN
- 0035-9009 (ISSN-L)
- 1477-870X
- OpenAlex
- W2146421864
- Cited by
- 4,452
- References
- 0
- 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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Correction of flux measurements for density effects due to heat and water vapour transfer. https://app.cochat.ai/papers/10.1002/qj.49710644707
- The paper
- Webb, E. K., Pearman, G. I., & Leuning, R. (1980). Correction of flux measurements for density effects due to heat and water vapour transfer. Quarterly Journal of the Royal Meteorological Society. https://doi.org/10.1002/qj.49710644707
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.