Meteorology and Atmospheric Physics

, Volume 58, Issue 1–4, pp 65–81 | Cite as

Design of land-air parameterization scheme (LAPS) for modelling boundary layer surface processes

  • D. T. Mihailović
  • M. Ruml
Article
First Online:
Received:
Revised:

Summary

A land-air parametrization scheme (LAPS) describes mass, energy and momentum transfer between the land surface and the atmosphere. The scheme is designed as a software package which can be run as part of an atmospheric model or a stand-alone scheme. A single layer approach is chosen for the physical and biophysical scheme background. The scheme has six prognostic variables: two temperatures (one for the canopy vegetation and one for soil surface), one interception storage, and three soil moisture storage variables. The scheme's upper boundary conditions are: air temperature, water vapour pressure, wind speed, radiation and precipitation at some reference level within the atmospheric boundary layer. The sensible and latent heat are calculated using resistance representation. The evaporation from the bare soil is parametrized using the “α” scheme. The soil part is designed as a three-layer model which is used to describe the vertical transfer of water in the soil.

The performances of the LAPS scheme were tested using the results of meteorological measurements over a maize field at the experimental site De Sinderhoeve (The Netherlands). The predicted partitioning of the absorbed radiation into sensible and latent heat fluxes is in good agreement with observations. Also, the predicted leaf temperature agrees quite well with the observed values.

Keywords

Heat Flux Atmospheric Boundary Layer Latent Heat Flux Water Vapour Pressure Soil Water Potential 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in to check access.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arakawa, A., 1972: Design of the UCLA General Circulation Model. Tech. Rep. 7, Dept of Meteorology, University of California, Los Angeles, 116 pp.Google Scholar
  2. Avissar, R., Pielke, R. A., 1989: A parametrization of heterogeneous land surface for atmospheric numerical models and its impact on regional meteorology.Mon. Wea. Rev.,117, 2113–2136.CrossRefGoogle Scholar
  3. Avissar, R., Pielke, R. A., 1990: Impact of plant stomatal control on mesoscale atmospheric circulation.Agric. For. Meteorol.,54, 353–372.CrossRefGoogle Scholar
  4. Businger, J. A., Wyngaard, J. C., Izumi, Y. I., Bradley, E. F., 1971. Flux-profile relationship in the atmospheric surface layer.J. Atmos. Sci.,28, 181–189.CrossRefGoogle Scholar
  5. Clapp, R. B., Hornberger, G. M., 1978: Empirical equations for some soil hydraulic properties.Water Resour. Res.,14.4, 601–604.CrossRefGoogle Scholar
  6. Deardorff, J. W., 1978: Efficient prediction of ground surface temperature and moisture with inclusion of a layer vegetation.J. Geophys. Res. 83, 1889–1903.CrossRefGoogle Scholar
  7. Denmead, O. T., 1976: Temperate cereals, Vegetation and atmosphere, 2nd edn. In: Monteith, J. L. (ed.), New York: Academic Press, pp. 1–31.Google Scholar
  8. Denmead, O. T., Millar, B. D., 1976: Field studies of the conductance of wheat leaves and transpiration.Agron. J.,68, 307–311.CrossRefGoogle Scholar
  9. Dickinson, R. E., 1984: Modeling evapotranspiration for threedimensional global climate models. In: Hansen, J. E., Takahashi, T., (eds.)Climate Processes and Climate Sensitivity. Washington DC: American Geophysical Union, pp. 58–72.CrossRefGoogle Scholar
  10. Dickinson, R. E., 1987: Evaporation in global climate models.Adv. Space. Res.,7, (11)17-(1)26.Google Scholar
  11. Dickinson, R. E., Henderson-Sellers, A., Kennedy, P., Wilson, M., 1986: Biosphere/Atmosphere Transfer Scheme for NCAR Community Climate Model. NCAR Technical Note TN XXX, National Center for Atmospheric Research, Boulder, CO, 80307.Google Scholar
  12. Federer, C. A., 1979: A soil-plant-atmosphere for transpiration and availability of soil water.Water Resour. Res.,15.3, 555–562.CrossRefGoogle Scholar
  13. Garratt, J. R., 1978: Flux profile relations above tall vegetation.Quart. J. Roy. Meteor. Soc.,104, 199–212.CrossRefGoogle Scholar
  14. Goudriaan, J., 1977: Crop Micrometeorology. A simulation Study. Wageningen Center for Agricultural Publishing and Documentation, 249 pp.Google Scholar
  15. Hancock, N. H., Sellers, P. J., Crowther, J. M., 1983: Evaporation from a partially wet forest canopy.Ann. Geophys. 1(2), 139–146.Google Scholar
  16. Hinckley, T. M., Lassoie, J. P., Running, S. W., 1978. Temporal and spatial variations in the water status for forest trees. (Forest science Monograph, 20) Society of American Foresters, 72 pp.Google Scholar
  17. Idso, S., Jackson, R., Kimball, B., Nakagama, F., 1975: The dependence of bare soil albedo on soil water content.J. Appl. Meteor.,14, 109–113.CrossRefGoogle Scholar
  18. Jacobs, A. F. G., van Paul, W. A. J., van Dijken, A., 1990: Similarity moisture dew profiles within a corn canopy.J. Appl. Meteor.,29, 1300–1306.CrossRefGoogle Scholar
  19. Jarvis, P. G., 1976: The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field,Phil. Trans. Roy. Soc.,B273, 593–610.CrossRefGoogle Scholar
  20. Legg, B. J., Long, I. F., 1975: Turbulent diffusion within a wheat canopy II.Quart J. Roy. Meteor. Soc.,101, 611–628.CrossRefGoogle Scholar
  21. McCumber, M. C., 1980: A numerical simulation of the influence of heat and moisture fluxes upon mesoscale circulation. Ph. D. dissertation, Department of Environmental Science. University of Virginia. Charlotesville, 255 pp.Google Scholar
  22. Mihailović, D. T., 1989: Land-surface atmosphere interaction modeling for use in different meteorological scale processes. Proc. Fourteenth Int. Conf. on Charpathian Meteorology, 29–30 September, Sofia, (Bulgaria), 348–353.Google Scholar
  23. Mihailović, D. T., 1990: Testing the Biosphere-Atmosphere Transfer scheme (BATS) using Penman and Long (1960) data: Preliminary results. Internal Report. Department of Meteorology, Wageningen Agricultural University, 6071 AP Wageningen. The Netherlands. 40 pp.Google Scholar
  24. Mihailović, D. T., 1991: A model for prediction of the soil temperature and the soil moisture content in three layers.Z. Meteorol.,41, 29–33.Google Scholar
  25. Mihailović, D. T., 1992: Vegetation canopy aerodynamic characteristics calculation: A simplification of existing methods.Int. Agrophysics,6, 179–183.Google Scholar
  26. Mihailović, D. T., Acs, F., 1985: Energy balance over winter wheat near Novi Sad. Seminar on Biometeorological Methods in Forestry Using Regular Meteorological and Satellite Observation of Weather, 23–25 September 1985, Bled, Rea. Rept. Biotech. Faculty, University Edvard Kardelj of Ljubljana, 10, 93–96.Google Scholar
  27. Mihailović, D. T., Rajković, B., 1993: Surface vegetation parametrization in atmospheric models: A numerical study.Z. Meteorol.,2, 239–243.Google Scholar
  28. Mihailović, D. T., de Bruin, H. A. R., Jeftić, M., van Dijken, A., 1992: A study of land-surface parametrization to the inclusion of different fractional covers and soil textures.J. Appl. Meteor.,31, 1477–1487.CrossRefGoogle Scholar
  29. Mihailović, D. T., Pielke, R. A., Rajković, B., Lee, T. J., Jeftić, M., 1993: A resistance representation of schemes for evaporation from bare and partly plant-covered surfaces for use in atmospheric models.J. Appl. Meteor.,32, 1038–1054.CrossRefGoogle Scholar
  30. Monteith, J. L., 1973:Principles of Environmental Physics, London: Edward Arnold, 242 pp.Google Scholar
  31. Monteith, J. L., 1976:Vegetation and the Atmosphere. Vol. 2, Case Studies. New York: Academic Press, 439 pp.Google Scholar
  32. Noilhan, J., Planton, S., 1989: A simple parametrization of land surface processes in meteorological models.Mon. Wea. Rev.,117, 536–549.CrossRefGoogle Scholar
  33. Pinty, J. P., Mascart, P., Richard, E., Rosset, R., 1989: An investigation of mesoscale flows induced by vegetation inhomogenities using an evapotranspiration model calibrated against HAPEX-MOBILHY data.J. Appl. Meteor.,9, 976–992.CrossRefGoogle Scholar
  34. Richtmyer, R. D., 1959:Difference Methods for Initial-Value Problems, New York: Interscience Publishers, 238 pp.Google Scholar
  35. Sellers, P. J., Mintz, Y., Sud, Y., Dacher, 1986: A simple biosphere model (SiB) for use within general circulation model.J. Atmos. Sci.,43, 506–531.CrossRefGoogle Scholar
  36. Sellers, P. J., Dorman, J. L., 1987: Testing the simple biosphere model (SiB) using point micrometeorological and biophysical data.J. Climate Appl. Meteor.,26, 622–651.CrossRefGoogle Scholar
  37. Sellers, P. J., Shuttleworth, W. J., Dorman, J. L., Dalcher, A., Roberts, J. M., 1989: Calibrating the simple biosphere model for Amazonian forest using field and remote sensing date. Part I: Average calibration with field data.J. Appl. Meteor. 28, 727–759.CrossRefGoogle Scholar
  38. Shaw, R. H., Pereira, R. A., 1982: Aerodynamic roughness of a plant canopy: a numerical experiment.Agric. Meteorol.,26, 51–56.CrossRefGoogle Scholar
  39. Staley, D. O., Jurica, G. M., 1972: Effective atmospheric emissivity under clear skies.J. Appl. Meteor.,11, 349–356.CrossRefGoogle Scholar
  40. Sun, S. F., 1982: Moisture and heat transport in a soil layer forced by atmospheric conditions. M.S. Thesis, Dept. of Civil Engineering, University of Connecticut, 72 pp.Google Scholar
  41. van der Honert, T. H. 1948: Water transport as a catenary process.Discuss. Faraday Soc.,3, 146–153.CrossRefGoogle Scholar
  42. van Pul, W. A. J., 1992: The flux of ozone to a maize crop and the underlying a growing season. Ph. D. Thesis, Wageningen Agricultural University, 147 pp.Google Scholar
  43. Wetzel, P. J., Chang, J. T., 1987: Concerning the relationship between evapotranspiration and soil moisture.J. Appl. Meteor.,26, 18–27.CrossRefGoogle Scholar
  44. Wetzel, P. J., Chnag, J. T., 1988: Evapotransiiration from nonuniform surfaces: a first approach for short term numerical weather prediction.Mon. Wea. Rev.,116, 600–621CrossRefGoogle Scholar
  45. Zhang, D., Anthes, R. A., 1982: A high resolution model of planetary boundary layer-sensitivity tests and comparisons with SESAME-79 data.J. Appl. Meteor.,21, 1594–1609.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 1996

Authors and Affiliations

  • D. T. Mihailović
    • 1
    • 3
  • M. Ruml
    • 2
  1. 1.Department of Meteorology, Faculty of AgricultureUniversity of Novi SadNovi SadYugoslavia
  2. 2.Department of Meteorology, Faculty of AgricultureUniversity of BelgradeBelgradeYugoslavia
  3. 3.Center for University Studies-Tempus CenterUniversity of Novi SadNovi SadYugoslavia

Personalised recommendations