The DOI matches its Crossref record.
Modeling evapotranspiration for three-dimensional global climate models
Abstract
A parameterization is developed for the calculation of evapotranspiration in three-dimensional atmospheric models. It distinguishes separately between evaporation from the ground and evapotranspiration from plant foliage. Soil water is stored in an active layer of 1 m depth and a 10 cm surface layer is separately distinguished. The evaporation from this soil is parameterized using a high resolution multilayer model for comparison. This parameterized evaporation from the soil is defined by either the potential evaporation rate or by the maximum rate at which water can diffuse to the surface, depending on which rate is smaller. The maximum rate is obtained empirically in terms of various soil-hydraulic parameters. The evapotranspiration from plants occurs either as the evaporation of water stored on the surface of the foliage or as the transpiration of water extracted by roots from the soil. The flux of water from the outer surface of foliage to the atmosphere above the canopy is determined by the decrease in water vapor concentration from the foliage surface to the overlying atmosphere and by the resistance of the foliage molecular boundary layers and the bulk aerodynamic resistance of the canopy. Transpired water encounters an additional stomatal resistance in passing from the inside to the outside of leaves. The foliage temperature and saturation vapor pressure are calculated from a model of the plant canopy energy balance. Soil moisture determines the maximum rate at which roots can extract water from the soil, and if the transpiration demand exceeds this maximum rate, stomatal closure occurs until the demand matches the root supply. A parameterization of land evapotranspiration at the level of detail described in this paper may be required to obtain a realistic diurnal cycle of surface temperature and evapotranspiration for use in mesoscale or global climate models. However, application of the developed procedures is made difficult by the extreme complexity and small-scale detail of surface processes, the lack of adequate data sets for surface parameters, and the need for satisfactory parameterizations of other components of. GCMs such as their rainfall and planetary boundary layer treatments. Because of these difficulties, the development of validated models of land surface processes first requires detailed sensitivity studies to establish what further data sets are most urgently required and what model improvement should be given highest priority.
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
Multiscale parameter regionalization of a grid‐based hydrologic model at the mesoscale
Samaniego, L., Kumar, R., & Attinger, S. (2010) · Water Resources Research · doi:10.1029/2008wr007327 · Cited by 836
Global hydrology 2015: State, trends, and directions
Bierkens, M. F. P. (2015) · Water Resources Research · doi:10.1002/2015wr017173 · Cited by 493
Metadata
- Authors
- Dickinson, R. E.
- Venue
- Geophysical Monograph Series
- Publisher
- American Geophysical Union
- Published
- 1984
- Pages
- 58-72
- ISSN
- 0065-8448 (ISSN-L)
- OpenAlex
- W1607551827
- Cited by
- 544
- References
- 0
- FWCI
- 9.92
- Type
- book chapter
- 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: Modeling evapotranspiration for three-dimensional global climate models. https://app.cochat.ai/papers/10.1029/gm029p0058
- The paper
- Dickinson, R. E. (1984). Modeling evapotranspiration for three-dimensional global climate models. Geophysical Monograph Series. https://doi.org/10.1029/gm029p0058
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.