The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Class—A Canadian land surface scheme for GCMS. I. Soil model
Abstract
A new GCM land surface scheme is introduced, incorporating three soil layers with physically based calculations of heat and moisture transfers at the surface and across the layer boundaries. Snow‐covered and snow‐free areas are treated separately. The energy balance equation is solved iteratively for the surface temperature; the surface infiltration rate is calculated using a simplified theoretical analysis allowing for surface ponding. Snow cover is modelled as a discrete ‘soil’ layer. The results generated by CLASS are compared with those of an older model incorporating the force‐restore method for the calculation of surface temperature and a bucket‐type formulation for the ground moisture. Several month‐long test runs are carried out in stand‐alone mode. It is shown that the surface temperature in the old scheme responds more slowly to diurnal forcing and more quickly to longer term forcing than that modelled by CLASS, while its one‐layer representation of soil moisture proves incapable of reproducing changes in the surface fluxes owing to surface variations of moisture content. Finally, the lumped treatment of snow and soil in the old scheme results in an extremely fast disappearance of the snow pack under certain conditions.
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Cites
A new model for predicting the hydraulic conductivity of unsaturated porous media
Mualem, Y. (1976) · Water Resources Research · doi:10.1029/wr012i003p00513 · Cited by 8,300
Empirical equations for some soil hydraulic properties
Clapp, R. B., & Hornberger, G. M. (1978) · Water Resources Research · doi:10.1029/wr014i004p00601 · Cited by 2,484
Heber Green, W., & Ampt, G. A. (1911) · The Journal of Agricultural Science · doi:10.1017/s0021859600001441 · Cited by 2,449
A Simple Parameterization of Land Surface Processes for Meteorological Models
Noilhan, J., & Planton, S. (1989) · Monthly Weather Review · doi:10.1175/1520-0493(1989)117<0536:aspols>2.0.co;2 · Cited by 2,166
A Simple Biosphere Model (SIB) for Use within General Circulation Models
Sellers, P. J., Mintz, Y., Sud, Y. C., & Dalcher, A. (1986) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(1986)043<0505:asbmfu>2.0.co;2 · Cited by 2,132
Deardorff, J. W. (1978) · Journal of Geophysical Research: Oceans · doi:10.1029/jc083ic04p01889 · Cited by 1,713
Cosby, B. J., Hornberger, G. M., Clapp, R. B., & Ginn, T. R. (1984) · Water Resources Research · doi:10.1029/wr020i006p00682 · Cited by 1,655
Johansen, O. (1977) · doi:10.21236/ada044002 · Cited by 1,077
Efficient Three-Dimensional Global Models for Climate Studies: Models I and II
Hansen, J., Russell, G., Rind, D., Stone, P., Lacis, A., Lebedeff, S., Ruedy, R., & Travis, L. (1983) · Monthly Weather Review · doi:10.1175/1520-0493(1983)111<0609:etdgmf>2.0.co;2 · Cited by 1,052
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Cited by
The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes
Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., et al. (2011) · Geoscientific Model Development · doi:10.5194/gmd-4-677-2011 · Cited by 1,545
Technical Note: The CCCma third generation AGCM and its extension into the middle atmosphere
Scinocca, J. F., McFarlane, N. A., Lazare, M., Li, J., & Plummer, D. (2008) · Atmospheric Chemistry and Physics · doi:10.5194/acp-8-7055-2008 · Cited by 459
Serreze, M. C., & Barry, R. G. (2005) · doi:10.1017/cbo9780511535888 · Cited by 385
Representing Subgrid Snow Cover Heterogeneities in Regional and Global Models
Liston, G. E. (2004) · Journal of Climate · doi:10.1175/1520-0442(2004)017<1381:rsschi>2.0.co;2 · Cited by 361
Metadata
- Authors
- Verseghy, D. L.
- Venue
- International Journal of Climatology
- Publisher
- Wiley
- Published
- 1991-03
- Volume
- 11
- Issue
- 2
- Pages
- 111-133
- ISSN
- 0899-8418 (ISSN-L)
- 1097-0088
- OpenAlex
- W2093065735
- Cited by
- 938
- References
- 18
- FWCI
- 3.76
- Type
- journal article
- Language
- en
- Open access
- closed
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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.