• Baldocchi, D., and Coauthors, 2001: FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bull. Amer. Meteor. Soc., 82 , 24152433.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bates, B. C., , Kundzewicz Z. W. , , Wu S. , , and Palutikof J. P. , 2008: Climate change and water. IPCC Tech. Paper 6, 214 pp.

  • Blyth, E. M., 2008: Modelling catchment scale evaporation—What are the errors? Water Resources Research Progress, L. N. Robinson, Ed., Nova Publishers, 297–310.

    • Search Google Scholar
    • Export Citation
  • Blyth, E. M., and Coauthors, 2006: JULES: A new community land surface model. Global Change Newsletter, No. 66, IGBP, Stockholm, Sweden, 9–11.

    • Search Google Scholar
    • Export Citation
  • Cox, P. M., , Betts R. A. , , Bunton C. B. , , Essery R. L. H. , , Rowntree P. R. , , and Smith J. , 1999: The impact of new land surface physics on the GCM sensitivity of climate and climate sensitivity. Climate Dyn., 15 , 183203.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Daly, E., , and Porporato A. , 2006: Impact of hydroclimatic fluctuations on the soil water balance. Water Resour. Res., 42 , W06401. doi:10.1029/2005WR004606.

    • Search Google Scholar
    • Export Citation
  • De Bruin, H. A. R., 1983: A model for the Priestley-Taylor parameter α. J. Climate Appl. Meteor., 22 , 572578.

  • Finnigan, J. J., 2004: A re-evaluation of long-term flux measurement techniques. Part II: Coordinate systems. Bound.-Layer Meteor., 113 , 141.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Finnigan, J. J., , Clement R. , , Malhi Y. , , Leuning R. , , and Cleugh H. A. , 2003: A re-evaluation of long-term flux measurement techniques. Part I: Averaging and coordinate rotation. Bound.-Layer Meteor., 107 , 148.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gash, J. H. C., , and Dolman A. J. , 2003: Sonic anemometer (co)sine response and flux measurement: I. The potential for cosine error to affect flux measurements. Agric. For. Meteor., 119 , 195207.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gash, J. H. C., , Wallace J. S. , , Lloyd C. R. , , Dolman A. J. , , Sivakumar M. V. K. , , and Renard C. , 1991: Measurements of evaporation from fallow Sahelian savannah at the start of the dry season. Quart. J. Roy. Meteor. Soc., 117 , 749760.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gerrits, A. M. J., , Savenije H. H. G. , , Hoffmann L. , , and Pfister L. , 2007: New technique to measure forest floor interception? An application in a beech forest in Luxembourg. Hydrol. Earth Syst. Sci., 11 , 695701.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Goutorbe, J. P., and Coauthors, 1997: An overview of HAPEX-Sahel: A study in climate and desertification. J. Hydrol., 188–189 , 417.

    • Search Google Scholar
    • Export Citation
  • Guevara-Escobar, A., , Gonzalez-Sosa E. , , Ramos-Salinas M. , , and Hernandez-Delgado G. D. , 2007: Experimental analysis of drainage and water storage of litter layers. Hydrol. Earth Syst. Sci., 11 , 17031716.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Harding, R. J., , Gryning S-E. , , Halldin S. , , and Lloyd C. R. , 2001: Progress in understanding of land surface/atmosphere exchanges at high latitudes. Theor. Appl. Climatol., 70 , 518.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Haverd, V., , Cuntz M. , , Leuning R. , , and Keith H. , 2007: Air and biomass heat storage fluxes in a forest canopy: Calculation within a soil vegetation atmosphere transfer model. Agric. For. Meteor., 147 , 125139.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lawrence, D. M., , Thornton P. E. , , Oleson K. W. , , and Bonan G. B. , 2007: The partitioning of evapotranspiration into transpiration, soil evaporation, and canopy evaporation in a GCM: Impacts on land–atmosphere interactions. J. Hydrometeor., 8 , 862880.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mauder, M., and Coauthors, 2007: The energy balance experiment EBEX-2000. Part II: Intercomparison of eddy-covariance sensors and post-field data processing methods. Bound.-Layer Meteor., 123 , 2954.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • McNaughton, K. G., , and Spriggs T. W. , 1989: An evaluation of the Priestley and Taylor equation and the complementary relationship using results from a mixed-layer model of the convective boundary layer. Estimation of Areal Evapotranspiration, IAHS Publication 177, 89–104.

    • Search Google Scholar
    • Export Citation
  • Meyers, T., , and Hollinger S. E. , 2004: An assessment of storage terms in the surface energy balance of maize and soybean. Agric. For. Meteor., 125 , 105115.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nobre, C. A., , Gash J. H. C. , , Roberts J. M. , , and Victoria R. L. , 1996: The conclusions from ABRACOS. Amazonian Deforestation and Climate, J. H. C. Gash et al., Eds., John Wiley & Sons, 577–595.

    • Search Google Scholar
    • Export Citation
  • Oncley, S. P., and Coauthors, 2007: The Energy Balance Experiment EBEX-2000. Part I: Overview and energy balance. Bound.-Layer Meteor., 123 , 128.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Penman, H. L., 1948: Natural evaporation from open water, bare soil and grass. Proc. Roy. Soc. London, 193A , 120145.

  • Priestley, C. H. B., , and Taylor R. J. , 1972: On the assessment of surface heat flux and evaporation using large-scale parameters. Mon. Wea. Rev., 100 , 8192.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sellers, P. J., , Shuttleworth W. J. , , Dorman J. L. , , Dalcher A. , , and Roberts J. M. , 1989: Calibrating the Simple Biosphere Model for Amazonian tropical forest using field and remote sensing data. Part I: Average calibration with field data. J. Appl. Meteor., 28 , 727759.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Shuttleworth, W. J., 1989: Micrometeorology of temperate and tropical forest. Philos. Trans. Roy. Soc. London, 324B , 299334.

  • Stewart, J. B., 1977: Evaporation from the wet canopy of a pine forest. Water Resour. Res., 13 , 915921.

  • Stöckli, R., , and Vidale P. L. , 2005: Modelling diurnal to seasonal water and heat exchanges at European FLUXNET sites. Theor. Appl. Climatol., 80 , 229243.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Stöckli, R., and Coauthors, 2008: Use of FLUXNET in the Community Land Model development. J. Geophys. Res., 113 , G01025. doi:10.1029/2007JG000562.

    • Search Google Scholar
    • Export Citation
  • Taylor, C. M., , and Clark D. B. , 2001: The diurnal cycle and African easterly waves: A land surface perspective. Quart. J. Roy. Meteor. Soc., 127 , 845867.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Teuling, A. J., , Seneviratne S. I. , , Williams C. , , and Troch P. A. , 2006: Observed timescales of evaporatranspiration response to soil moisture. Geophys. Res. Lett., 33 , L23403. doi:10.1029/2006GL028178.

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

  • van der Molen, M. K., , Gash J. H. C. , , and Elbers J. A. , 2004: Sonic anemometer (co)sine response and flux measurement: II. The effect of introducing an angle of attack dependent calibration. Agric. For. Meteor., 122 , 95109.

    • Search Google Scholar
    • Export Citation
  • Wilson, K., and Coauthors, 2002: Energy balance closure at FLUXNET sites. Agric. For. Meteor., 113 , 223243.

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Evaluating the JULES Land Surface Model Energy Fluxes Using FLUXNET Data

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  • 1 Centre for Ecology and Hydrology, Wallingford, United Kingdom
  • | 2 Centre for Ecology and Hydrology, Wallingford, United Kingdom, and VU University, Amsterdam, Netherlands
  • | 3 Centre for Ecology and Hydrology, Wallingford, United Kingdom
  • | 4 Met Office Hadley Centre for Climate Prediction and Research (Joint Centre for Hydro-Meteorological Research), Wallingford, United Kingdom
  • | 5 Centre for Ecology and Hydrology, Wallingford, United Kingdom, and Department of Hydrology and Water Resources, The University of Arizona, Tucson, Arizona
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Abstract

Surface energy flux measurements from a sample of 10 flux network (FLUXNET) sites selected to represent a range of climate conditions and biome types were used to assess the performance of the Hadley Centre land surface model (Joint U.K. Land Environment Simulator; JULES). Because FLUXNET data are prone systematically to undermeasure surface fluxes, the model was evaluated by its ability to partition incoming radiant energy into evaporation and how such partition varies with atmospheric evaporative demand at annual, seasonal, weekly, and diurnal time scales. The model parameters from the GCM configuration were used. The overall performance was good, although weaknesses in model performance were identified that are associated with the specification of the leaf area index and plant rooting depth, and the representation of soil freezing.

Corresponding author address: Eleanor Blyth, Centre for Ecology and Hydrology, Wallingford OX10 8BB, United Kingdom. Email: emb@ceh.ac.uk

Abstract

Surface energy flux measurements from a sample of 10 flux network (FLUXNET) sites selected to represent a range of climate conditions and biome types were used to assess the performance of the Hadley Centre land surface model (Joint U.K. Land Environment Simulator; JULES). Because FLUXNET data are prone systematically to undermeasure surface fluxes, the model was evaluated by its ability to partition incoming radiant energy into evaporation and how such partition varies with atmospheric evaporative demand at annual, seasonal, weekly, and diurnal time scales. The model parameters from the GCM configuration were used. The overall performance was good, although weaknesses in model performance were identified that are associated with the specification of the leaf area index and plant rooting depth, and the representation of soil freezing.

Corresponding author address: Eleanor Blyth, Centre for Ecology and Hydrology, Wallingford OX10 8BB, United Kingdom. Email: emb@ceh.ac.uk

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