Intercomparison Study of the Land Surface Process Model and the Common Land Model for a Prairie Wetland in Florida

B. Whitfield Department of Civil and Coastal Engineering, University of Florida, Gainesville, Florida

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J. M. Jacobs Department of Civil Engineering, University of New Hampshire, Durham, New Hampshire

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J. Judge Department of Agricultural and Biological Engineering, Center for Remote Sensing, University of Florida, Gainesville, Florida

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Abstract

Common Land Model (CLM) and Land Surface Process (LSP) model simulations are compared to measured values for a 13-day dry-down period with a rapidly decreasing near-surface water table for a marsh wetland community in Florida. LSP was able to provide reasonable estimates without any modifications to the model physics. To obtain reasonable simulations using CLM, the baseline TOPMODEL baseflow generation and the bottom drainage mechanisms were not employed and the lower layers were allowed to remain saturated. In addition, several of CLM’s default wetland vegetation parameters were replaced with grassland parameters. Even after these modifications, CLM underestimated soil water storage. However, both model-simulated soil temperatures showed very good agreement as compared to measured temperatures, capturing both the soil warming during the study period and the diurnal fluctuations. Modeled surface energy fluxes also agreed well with measured values. LSP’s inability to consistently capture latent heat fluxes appears to be linked to its canopy resistance scaling functions. Other minor issues were that CLM’s rooting depth greatly exceeded observed depths and that CLM did not move water in the vadose zone from lower to upper layers during the nighttime as observed in the measurements. Overall, these results suggest that LSP can be applied to characterize a marsh dry down, but that minor modifications could greatly improve results. CLM demonstrated considerable potential, but requires some changes to model physics and default parameters prior to application to wetlands at a subgrid scale.

Corresponding author address: Jennifer M. Jacobs, Department of Civil Engineering, 240 Gregg Hall, 35 Colovos Road, University of New Hampshire, Durham, NH 03824-3534. Email: Jennifer.Jacobs@unh.edu

Abstract

Common Land Model (CLM) and Land Surface Process (LSP) model simulations are compared to measured values for a 13-day dry-down period with a rapidly decreasing near-surface water table for a marsh wetland community in Florida. LSP was able to provide reasonable estimates without any modifications to the model physics. To obtain reasonable simulations using CLM, the baseline TOPMODEL baseflow generation and the bottom drainage mechanisms were not employed and the lower layers were allowed to remain saturated. In addition, several of CLM’s default wetland vegetation parameters were replaced with grassland parameters. Even after these modifications, CLM underestimated soil water storage. However, both model-simulated soil temperatures showed very good agreement as compared to measured temperatures, capturing both the soil warming during the study period and the diurnal fluctuations. Modeled surface energy fluxes also agreed well with measured values. LSP’s inability to consistently capture latent heat fluxes appears to be linked to its canopy resistance scaling functions. Other minor issues were that CLM’s rooting depth greatly exceeded observed depths and that CLM did not move water in the vadose zone from lower to upper layers during the nighttime as observed in the measurements. Overall, these results suggest that LSP can be applied to characterize a marsh dry down, but that minor modifications could greatly improve results. CLM demonstrated considerable potential, but requires some changes to model physics and default parameters prior to application to wetlands at a subgrid scale.

Corresponding author address: Jennifer M. Jacobs, Department of Civil Engineering, 240 Gregg Hall, 35 Colovos Road, University of New Hampshire, Durham, NH 03824-3534. Email: Jennifer.Jacobs@unh.edu

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  • Acs, F., and Hantel M. , 1998: The land-surface flux model PROGSURF. Global Planet. Change, 19 , 1934.

  • Beven, K. J., Lamb R. , Quinn P. , Romanowicz R. , and Freer J. , 1995: Topmodel. Computer Models of Watershed Hydrology, V. P. Singh, Ed., Water Resource Publications, 627–668.

  • Blackmon, M., and Coauthors, 2001: The Community Climate System Model. Bull. Amer. Meteor. Soc., 82 , 23572376.

  • 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 NCAR/TN-417+STR, 150 pp.

  • Bonan, G. B., Oleson K. W. , Vertenstein M. , Levis S. , Zeng X. B. , Dai Y. J. , Dickinson R. E. , and Yang Z. L. , 2002: The land surface climatology of the community land model coupled to the NCAR community climate model. J. Climate, 15 , 31233149.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brooks, R. H., and Corey A. T. , 1966: Properties of porous media affecting fluid flow. J. Irrig. Drain. Div. Amer. Soc. Civ. Eng., 92 , 6187.

    • Search Google Scholar
    • Export Citation
  • Brutsaert, W., and Chen D. , 1995: Desorption and the two stages of drying of natural tallgrass. Water Resour. Res., 31 , 13051313.

  • Chang, S., Hahn D. , Yang C. H. , and Norquist D. , 1999: Validation study of the CAPS model land surface scheme using the 1987 Cabauw/PILPS dataset. J. Appl. Meteor., 38 , 405422.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chen, T. H., and Coauthors, 1997: Cabauw experimental results from the project for intercomparison of land-surface parameterization schemes. J. Climate, 10 , 11941215.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Clapp, R. B., and Hornberger G. M. , 1978: Empirical equations for some soil hydraulic-properties. Water Resour. Res., 14 , 601604.

  • Comer, N. T., Lafleur P. M. , Roulet N. T. , Letts M. G. , Skarupa M. , and Verseghy D. , 2000: A test of the Canadian Land Surface Scheme (CLASS) for a variety of wetland types. Atmos.–Ocean, 38 , 161179.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dai, Y., Zeng X. , and Dickinson R. , 2001: Common Land Model (CLM): Technical documentation and user’s guide. 69 pp. [Available online at climate.eas.gatech.edu/dai/clmdoc.pdf.].

  • Dai, Y., and Coauthors, 2003: The Common Land Model. Bull. Amer. Meteor. Soc., 84 , 10131023.

  • de Vries, D. A., 1963: Thermal properties of soils. Physics of Plant Environment, Interscience Publishers, 210–235.

  • Diak, G. R., Bland W. L. , Mecikalski J. R. , and Anderson M. C. , 2000: Satellite-based estimates of longwave radiation for agricultural applications. Agric. For. Meteor., 103 , 349355.

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

  • Dirmeyer, P. A., Dolman A. J. , and Sato N. , 1999: The pilot phase of the Global Soil Wetness Project. Bull. Amer. Meteor. Soc., 80 , 851878.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gonzalez-Sosa, E., Braud I. , Thony J. L. , Vauclin M. , and Calvet J. C. , 2001: Heat and water exchanges of fallow land covered with a plant-residue mulch layer: A modeling study using the three year MUREX data set. J. Hydrol., 244 , 119136.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Green, W., and Ampt G. , 1911: Studies on soil physics. J. Agric. Sci., 4 , 124.

  • Hall, J. V., Frayer W. E. , and Wilen B. O. , 1994: Status of Alaska Wetlands. U.S. Fish and Wildlife Service, Alaska Region, Anchorage, AK, 32 pp.

  • Henderson-Sellers, A., Pitman A. J. , Love P. K. , Irannejad P. , and Chen T. H. , 1995: The Project for Intercomparison of Land-Surface Parameterization Schemes (PILPS): Phase-2 and Phase-3. Bull. Amer. Meteor. Soc., 76 , 489503.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jacobs, J. M., Mergelsberg S. L. , Lopera A. F. , and Myers D. A. , 2002a: Evapotranspiration from a wet prairie wetland under drought conditions: Paynes Prairie Preserve, Florida, USA. Wetlands, 22 , 374385.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jacobs, J. M., Myers D. A. , Anderson M. C. , and Diak G. R. , 2002b: GOES surface insolation to estimate wetlands evapotranspiration. J. Hydrol., 266 , 5365.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Judge, J., England A. W. , Crosson W. L. , Laymon C. A. , Hornbuckle B. K. , Boprie D. L. , Kim E. J. , and Liou Y-A. , 1999: A growing season Land Surface Process/Radiobrightness model for wheat-stubble in the southern Great Plains. IEEE Trans. Geosci. Remote Sens., 37 , 21522158.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Judge, J., Abriola L. M. , and England A. W. , 2003: Numerical validation of the land surface process component of the LSP/R model. Adv. Water Resour., 26 , 733746.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, E. J., 1999: Remote sensing of land surface conditions in arctic tundra regions for climatological applications using microwave radiometry. Ph.D. thesis, University of Michigan, 172 pp.

  • Koster, R. D., Suarez M. J. , Ducharne A. , Stieglitz M. , and Kumar P. , 2000: A catchment-based approach to modeling land surface processes in a general circulation model. 1. Model structure. J. Geophys. Res., 105 , 2480924822.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lafleur, P. M., 1990: Evapotranspiration from sedge-dominated wetland surfaces. Aquat. Bot., 37 , 341353.

  • Liang, X., and Coauthors, 1998: The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) phase 2(c) Red–Arkansas River basin experiment: 2. Spatial and temporal analysis of energy fluxes. Global Planet. Change, 19 , 137159.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liou, Y. A., Galantowicz J. F. , and England A. W. , 1999: A land surface process radiobrightness model with coupled heat and moisture transport for prairie grassland. IEEE Trans. Geosci. Remote Sens., 37 , 18481859.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Loveland, T. R., Reed B. C. , Brown J. F. , Ohlen D. O. , Zhu Z. , Yang L. , and Merchant J. W. , 2000: Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data. Int. J. Remote Sens., 21 , 13031330.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mitsch, W. J., and Gosselink J. G. , 2000: Wetlands. 3d ed. John Wiley & Sons, 920 pp.

  • Mohr, K. I., Famiglietti J. S. , Boone A. , and Starks P. J. , 2000: Modeling soil moisture and surface flux variability with an untuned land surface scheme: A case study from the southern Great Plains 1997 Hydrology Experiment. J. Hydrometeor., 1 , 154169.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mualem, Y., 1976: A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resour. Res., 12 , 513522.

  • Nijssen, B., Haddeland I. , and Lettenmaier D. P. , 1997: Point evaluation of a surface hydrology model for BOREAS. J. Geophys. Res., 102 , 2936729378.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Niu, G. Y., Yang Z. L. , Dickinson R. E. , and Gulden L. E. , 2005: A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models. J. Geophys. Res., 110 .D21106, doi:10.1029/2005JD006111.

    • Search Google Scholar
    • Export Citation
  • Philip, J. R., 1957: Theory of infiltration. 1. The infiltration equation and its solution. Soil Sci., 83 , 345357.

  • Philip, J. R., 1987: The infiltration joining problem. Water Resour. Res., 23 , 22392245.

  • Philip, J. R., 1990: Inverse solution for one-dimensional infiltration, and the ratio A/K1. Water Resour. Res., 26 , 20232027.

  • Philip, J. R., and de Vries D. , 1957: Moisture movement in porous materials under temperature gradients. Trans. Amer. Geophys. Union, 38 , 222232.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pitman, A. J., and Coauthors, 1999: Key results and implications from phase 1(c) of the Project for Intercomparison of Land-Surface Parameterization Schemes. Climate Dyn., 15 , 673684.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rossi, C., and Nimmo J. R. , 1994: Modeling of soil-water retention from saturation to oven dryness. Water Resour. Res., 30 , 701708.

  • Shao, Y. P., and Henderson-Sellers A. , 1996: Validation of soil moisture simulation in landsurface parameterization schemes with HAPEX data. Global Planet. Change, 13 , 1146.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Slater, A. G., and Coauthors, 2001: The representation of snow in land surface schemes: Results from PILPS 2(d). J. Hydrometeor., 2 , 725.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Souch, C., Wolfe C. P. , and Grimmond C. S. B. , 1998: Evapotranspiration rates from wetlands with different disturbance histories: Indiana Dunes National Lakeshore. Wetlands, 18 , 216229.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Stieglitz, M., Rind D. , Famiglietti J. , and Rosenzweig C. , 1997: An efficient approach to modeling the topographic control of surface hydrology for regional and global climate modeling. J. Climate, 10 , 118137.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Twine, T. E., and Coauthors, 2000: Correcting eddy-covariance flux underestimates over a grassland. Agric. For. Meteor., 103 , 279300.

  • University of Florida-Institute of Food Agricultural Sciences, 1985: Characterization data for selected soils. Soil Science Research Rep. 85-1.

  • van der Keur, P., Hansen S. , Schelde K. , and Thomsen A. , 2001: Modification of DAISY SVAT model for potential use of remotely sensed data. Agric. For. Meteor., 106 , 215231.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Verseghy, D. L., McFarlane N. A. , and Lazare M. , 1993: Class—A Canadian Land-Surface Scheme for Gcms. 2. Vegetation model and coupled runs. Int. J. Climatol., 13 , 347370.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Willmott, C. J., 1982: Some comments on the evaluation of model performance. Bull. Amer. Meteor. Soc., 63 , 13091313.

  • Zeng, X. B., Shaikh M. , Dai Y. J. , Dickinson R. E. , and Myneni R. , 2002: Coupling of the Common Land Model to the NCAR Community Climate Model. J. Climate, 15 , 18321854.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhang, Y., Li C. , Trettin C. C. , Li H. , and Sun G. , 2002: An integrated model of soil, hydrology, and vegetation for carbon dynamics in wetland ecosystems. Global Biogeochem. Cycles, 16 .1061, doi:10.1029/2001GB001838.

    • Search Google Scholar
    • Export Citation
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