Editorial Type:
Article
Article Type:
Research Article

The Influence of the Inclusion of Soil Freezing on Simulations by a Soil–Vegetation–Atmosphere Transfer Scheme

A. Boone Météo-France/Centre National de Recherche Météorologique, Toulouse, France

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V. Masson Météo-France/Centre National de Recherche Météorologique, Toulouse, France

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T. Meyers Atmospheric Turbulence and Diffusion Division, National Oceanic and Atmospheric Administration, Oak Ridge, Tennessee

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J. Noilhan Météo-France/Centre National de Recherche Météorologique, Toulouse, France

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Print Publication:
01 Sep 2000
DOI:
https://doi.org/10.1175/1520-0450(2000)039<1544:TIOTIO>2.0.CO;2
Page(s):
1544–1569
Restricted access

Abstract

The interactions between the soil, biosphere, and atmosphere (ISBA) land surface parameterization scheme has been modified to include soil ice. The liquid water equivalent volumetric ice content is modeled using two reservoirs within the soil: a thin surface layer that directly affects the surface energy balance, and a deep soil layer. The freezing/drying, wetting/thawing analogy is used, and a description of the modifications to the ISBA force–restore scheme, in particular to the hydrological and thermal transfer coefficients, is presented. In addition, the ISBA surface/vegetation scheme is coupled to a multilayer explicit diffusion soil heat and mass transfer model in order to investigate the accuracy of the force–restore formalism soil freezing parameterization as compared with a higher-order scheme.

An example of the influence of the inclusion of soil freezing in ISBA on predicted surface and soil temperatures and surface fluxes is examined using prescribed atmospheric forcing from a micrometeorological case study that includes freeze–thaw cycles. Surface temperature prediction is improved in comparison with the observed values, especially at night, primarily from the release of latent heat as the soil freezes. There is an improvement in the overall surface flux prediction, although for some specific periods there is increased error in the prediction of various components of the surface energy budget. Last, the simplified force–restore approach is found to produce surface flux and temperature predictions consistent with the higher-resolution model on typical numerical weather prediction model timescales (on the order of several days to two weeks) for this particular site.

Corresponding author address: Aaron A. Boone, Météo-France, CNRM/GMME/MC2, 42 avenue Coriolis, 31057 Toulouse Cedex, France.

Abstract

The interactions between the soil, biosphere, and atmosphere (ISBA) land surface parameterization scheme has been modified to include soil ice. The liquid water equivalent volumetric ice content is modeled using two reservoirs within the soil: a thin surface layer that directly affects the surface energy balance, and a deep soil layer. The freezing/drying, wetting/thawing analogy is used, and a description of the modifications to the ISBA force–restore scheme, in particular to the hydrological and thermal transfer coefficients, is presented. In addition, the ISBA surface/vegetation scheme is coupled to a multilayer explicit diffusion soil heat and mass transfer model in order to investigate the accuracy of the force–restore formalism soil freezing parameterization as compared with a higher-order scheme.

An example of the influence of the inclusion of soil freezing in ISBA on predicted surface and soil temperatures and surface fluxes is examined using prescribed atmospheric forcing from a micrometeorological case study that includes freeze–thaw cycles. Surface temperature prediction is improved in comparison with the observed values, especially at night, primarily from the release of latent heat as the soil freezes. There is an improvement in the overall surface flux prediction, although for some specific periods there is increased error in the prediction of various components of the surface energy budget. Last, the simplified force–restore approach is found to produce surface flux and temperature predictions consistent with the higher-resolution model on typical numerical weather prediction model timescales (on the order of several days to two weeks) for this particular site.

Corresponding author address: Aaron A. Boone, Météo-France, CNRM/GMME/MC2, 42 avenue Coriolis, 31057 Toulouse Cedex, France.

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Journal of Applied Meteorology and Climatology

  • Abramopoulos, F., C. Rosenzweig, and B. Choudhury, 1988: Improved ground hydrology calculations for global climate models (GCMs): Soil water movement and evapotranspiration. J. Climate,1, 921–941.

  • Avissar, R., and R. A. Pielke, 1989: A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology. Mon. Wea. Rev.,117, 2113– 2136.

  • Bélair, S., P. Lacarrère, J. Noilhan, V. Masson, and J. Stein, 1998: High-resolution simulation of surface and turbulent fluxes during HAPEX-MOBILHY. Mon. Wea. Rev.,126, 2234–2253.

  • Bhumralkar, C. M., 1975: Numerical experiments on the computation of ground surface temperature in an atmospheric general circulation model. J. Appl. Meteor.,14, 67–100.

  • Blackadar, A. K., 1979: High resolution models of the planetary boundary layer. Adv. Environ. Sci. Eng.,1, 50–85.

  • Bonan, G. B., 1996: A land surface model (LSM version 1.0) for ecological, hydrological, and atmospheric studies: Technical description and user’s guide. NCAR Tech. Note TN-417+STR, 150 pp.

  • Boone, A., and P. J. Wetzel, 1996: Issues related to low resolution modeling of soil moisture: Experience with the PLACE model. Global Planet. Change,13, 161–181.

  • Boone, A., J.-C. Calvet, and J. Noilhan, 1999: Inclusion of a third soil layer in a land-surface scheme using the force–restore method. J. Appl. Meteor.,38, 1611–1630.

  • Braud, I., J. Noilhan, P. Bessemoulin, P. Mascart, R. Havercamp, and M. Vauclin, 1993: Bareground surface heat and water exchanges under dry conditions: Observations and parameterization. Bound.-Layer Meteor.,66, 173–200.

  • Brooks, R. H., and A. T. Corey, 1966: Properties of porous media affecting fluid flow. J. Irrig. Drain. Amer. Soc. Civ. Eng., IR,2, 61–88.

  • Burt, T. P., and and P. J. Williams, 1976: Hydraulic conductivity in frozen soils. Earth Surf. Processes,1, 349–360.

  • Calvet, J.-C., J. Noilhan, J.-L. Roujean, P. Bessemoulin, M. Cabelguenne, A. Olioso, and J.-P. Wigneron, 1998: An interactive vegetation SVAT model tested against data from six contrasting sites. Agric. For. Meteor.,2564, 1–23.

  • Chen, F., and Coauthors, 1996: Modeling of land surface evaporation by four schemes and comparison with FIFE observations. J. Geophys. Res.,101, 7251–7268.

  • Cherkauer, K. A., and D. P. Lettenmaier, 1999: Hydrologic effects of frozen soils in the upper Mississippi River basin. J. Geophys. Res.,104, 19599–19610.

  • Clapp, R., and G. Hornberger, 1978: Empirical equations for some soil hydraulic properties. Water Resour. Res.,14, 601–604.

  • Cogley, J. G., A. J. Pitman, and A. Henderson-Sellers, 1990: A land surface for large scale climate models. Tech. Note 90-1, Trent University, Peterborough, ON, Canada, 129 pp.

  • Courtier, P., and J.-F. Geleyn, 1988: A global numerical weather prediction model with variable resolution. Applications to the shallow water equations. Quart. J. Roy. Meteor. Soc.,114, 1321– 1346.

  • Cox, P. M., R. A. Betts, C. B. Bunton, R. L. H. Essery, P. R. Rowntree, and J. Smith, 1999: The impact of new land surface physics on the GCM simulation of climate and climate sensitivity. Climate Dyn.,15, 183–203.

  • Deardorff, J. W., 1977: A parameterization of ground surface moisture content for use in atmospheric prediction models. J. Appl. Meteor.,16, 1182–1185.

  • Deardorff, J. W., 1978: Efficient prediction of ground surface temperature and moisture, with inclusion of a layer of vegetation. J. Geophys. Res.,83, 1889–1903.

  • Delire, C., J.-C. Calvet, J. Noilhan, I. Wright, A. Manzi, and C. Nobre, 1997: Physical properties of Amazonian soils: A modeling study using the Anglo–Brazilian Amazonian climate observation study data. J. Geophys. Res.,102, 30119–30133.

  • de Vries, D. A., 1958: Simultaneous transfer of heat and moisture in porous media. Eos, Trans. Amer. Geophys. Union,39 (5), 909– 916.

  • Dickinson, R. E., 1984: Modeling evapotranspiration for three-dimensional global climate models. Climate Processes and Climate Sensitivity, Geophys. Monogr., No. 5, Amer. Geophys. Union.

  • Dickinson, R. E., 1988: The force-restore model for surface temperatures and its generalizations. J. Climate,1, 1086–1097.

  • Dickinson, R. E., A. Henderson-Sellers, and P. J. Kennedy, 1993: Biosphere– Atmosphere Transfer Scheme (BATS) Version 1e as coupled to the NCAR Community Climate Model. NCAR Tech. Note TN-387+STR, 72 pp.

  • Douville, H., J. F. Royer, and J.-F. Mahfouf, 1995: A new snow parameterization for the Meteo-France climate model. Climate Dyn.,12, 21–35.

  • Farouki, O. T., 1986: Thermal Properties of Soils. Series on Rock and Soil Mechanics, Vol. 11, Trans Tech Publications, 136 pp.

  • Giard, D., and E. Bazile, 2000: Implementation of a new assimilation scheme for soil and surface variables in a global NWP model. Mon. Wea. Rev.,128, 997–1015.

  • Giordani, H., J. Noilhan, P. Lacarrère, and P. Bessemoulin, 1996: Modeling the surface processes and the atmospheric boundary layer for semi-arid conditions. Agric. For. Meteor.,80, 263–287.

  • Gonzalez-Sosa, E., I. Braud, J.-L. Thony, M. Vauclin, P. Bessemoulin, and J.-C. Calvet, 1999: Modeling heat and water exchanges of fallow land covered with plant-residue mulch. Agric. For. Meteor.,2682, 1–19.

  • Habets, F., and Coauthors, 1999: The ISBA surface scheme in a macroscale hydrological model applied to the HAPEX-MOBILHY area. Part 2: Simulation of streamflows and annual water budget. J. Hydrol.,217, 97–118.

  • Henderson-Sellers, A., Z.-L. Yang, and R. E. Dickinson, 1993: The Project for Intercomparison of Land-surface Parameterization Schemes. Bull. Amer. Meteor. Soc.,74, 1335–1349.

  • Henderson-Sellers, A., A. Pitman, P. Love, P. Irannejad, and T. Chen, 1995: The Project for Intercomparison of Land Surface Parameterization Schemes (PILPS): Phases 2 and 3. Bull Amer. Meteor. Soc.,76, 489–503.

  • Hillel, D., 1982: Introduction to Soil Physics. Academic Press, 364 pp.

  • Jame, Y.-W., and D. I. Norum, 1980: Heat and mass transfer in a freezing unsaturated porous medium. Water Resour. Res.,16 (4), 811–819.

  • Johansen, O., 1975: Thermal conductivity of soils. Ph.D. thesis, University of Trondheim, 236 pp. [Available from Universitetsbiblioteket i Trondheim, H&oslashσkoleringen 1, 7034 Trondheim, Norway.].

  • Johnsson, H., and L.-C. Lundin, 1991: Surface runoff and soil water percolation as affected by snow and soil frost. J. Hydrol.,122, 141–158.

  • Kane, D. L., 1980: Snowmelt infiltration into seasonally frozen soils. Cold Reg. Sci. Technol.,3, 153–161.

  • Kane, D. L., and J. Stein, 1983: Water movement into seasonally frozen soils. Water Resour. Res.,19, 1547–1557.

  • Koren, V., J. Schaake, K. Mitchell, Q.-Y. Duan, F. Chen, and J. M. Baker, 1999: A parameterization of snowpack and frozen ground intended for NCEP weather and climate models. J. Geophys. Res.,104, 19569–19585.

  • Koster, R. D., and M. J. Suarez, 1996: Energy and water balance calculations in the Mosaic LSM. NASA Tech. Memo. 104606, 58 pp.

  • Liang, X., and Coauthors, 1998: The Project for Intercomparison of Land-Surface Parameterization Schemes (PILPS) Phase-2c Red-Arkansas River Basin experiment: Part 2. Spatial and temporal analysis of energy fluxes. Global Planet. Change,19, 137–160.

  • Liang, X., E. F. Wood, and D. P. Lettenmaier, 1999: Modeling ground heat flux in land surface parameterization schemes. J. Geophys. Res.,104, 9581–9600.

  • Lundin, L.-C., 1990: Hydraulic properties in an operational model of frozen soil. J. Hydrol.,118, 289–310.

  • Mahfouf, J.-F., and J. Noilhan, 1996: Inclusion of gravitational drainage in a land surface scheme based on the force–restore method. J. Appl. Meteor.,35, 987–992.

  • McCumber, M. C., and R. A. Pielke, 1981: Simulation of the effects of surface fluxes of heat and moisture in a mesoscale numerical model. J. Geophys. Res.,86, 9929–9938.

  • McNider, R. T., A. J. Song, D. M. Casey, P. J. Wetzel, W. L. Crosson, and R. M. Rabin, 1994: Toward a dynamic–thermodynamic assimilation of satellite surface temperature in numerical atmospheric models. Mon. Wea. Rev.,122, 2784–2803.

  • Meyers, T. P., and S. Hollinger, 1998: Wintertime surface energy budget within the GCIP domain. GEWEX News,8, 10–13.

  • Noilhan, J., and S. Planton, 1989: A simple parameterization of land surface processes for meteorological models. Mon. Wea. Rev.,117, 536–549.

  • Noilhan, J., and P. Lacarrère, 1995: GCM gridscale evaporation from mesoscale modeling. J. Climate,8, 206–223.

  • Noilhan, J., and J.-F. Mahfouf, 1996: The ISBA land surface parameterization scheme. Global Planet. Change,13, 145–159.

  • Pan, H., and L. Mahrt, 1987: Interaction between soil hydrology and boundary layer development. Bound.-Layer Meteor.,38, 185– 202.

  • Peters-Lidard, C. D., E. Blackburn, X. Liang, and E. F. Wood, 1998:The effect of soil thermal conductivity parameterization on surface energy fluxes and temperatures. J. Atmos. Sci.,55, 1209– 1224.

  • Philip, J. R., and D. A. de Vries, 1957: Moisture movement in porous materials under temperature gradients. Eos, Trans. Amer. Geophys. Union,38, 222–232.

  • Pitman, A. J., Z.-L. Yang, J. G. Cogley, and A. Henderson-Sellers, 1991: Description of bare essentials of surface transfer for the Bureau of Meteorology Research Centre AGCM. Research Rep. 32, BMRC, Melbourne, Australia, 132 pp.

  • Schlosser, C. A., and Coauthors, 2000: Simulations of a boreal grassland hydrology at Valdai, Russia: PILPS Phase 2(d). Mon. Wea. Rev.,128, 301–321.

  • Sellers, P. J., and Coauthors, 1996: A revised land surface parameterization (SiB2) for atmospheric GCMs. Part I: Model formulation. J. Climate,9, 676–705.

  • Slater, A. G., A. J. Pitman, and C. E. Desborough, 1998: Simulation of freeze–thaw cycles in a general circulation model land surface scheme. J. Geophys. Res.,103, 11303–11312.

  • Spans, E. J. A., and J. M. Baker, 1996: The soil moisture characteristic: Its measurement and similarity to the soil moisture characteristic. Soil Sci. Soc. Amer. J.,60, 13–19.

  • Thompson, S. L., and D. Pollard, 1995: A global climate model (GENESIS) with a land-surface scheme (LSX). Part I: Present climate simulation. J. Climate,8, 732–761.

  • Verseghy, D. L., 1991: CLASS—a Canadian land surface scheme for GCMs. I. Soil Model. Int. J. Climatol.,11, 111–133.

  • Viterbo, P., and J.-T. Chang, 1987: Concerning the relationship between evapotranspiration and soil moisture. J. Climate Appl. Meteor.,26, 18–27.

  • Viterbo, P., and A. C. M. Beljaars, 1995: An improved land surface parameterization scheme in the ECMWF model and its validation. J. Climate,8, 2716–2748.

  • Wetzel, P. J., and A. Boone, 1995: A parameterization for land&ndash/oud– atmosphere exchange (PLACE): Documentation and testing of a detailed process model of the partly cloudy boundary layer over heterogeneous land. J. Climate,8, 1810–1837.

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