Editorial Type:
Article
Article Type:
Research Article

Measurement of Surface Energy Fluxes from Two Rangeland Sites and Comparison with a Multilayer Canopy Model

Gerald N. Flerchinger USDA Agricultural Research Service, Northwest Watershed Research Center, Boise, Idaho

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Michele L. Reba USDA Agricultural Research Service, National Sedimentation Laboratory, Jonesboro, Arkansas

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Danny Marks USDA Agricultural Research Service, Northwest Watershed Research Center, Boise, Idaho

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Print Publication:
01 Jun 2012
DOI:
https://doi.org/10.1175/JHM-D-11-093.1
Page(s):
1038–1051
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Abstract

Rangelands are often characterized by a patchy mosaic of vegetation types, making measurement and modeling of surface energy fluxes particularly challenging. The purpose of this study was to evaluate surface energy fluxes measured using three eddy covariance systems above and within two rangeland vegetation sites and use the data to improve simulations of turbulent energy fluxes in a multilayer plant canopy model: the Simultaneous Heat and Water (SHAW) model. Model modifications included adjustment of the wind profile roughness parameters for sparse canopies, extending the currently used K-theory approach to include influence of the roughness sublayer and stability functions within the canopy, and in a separate version of the model, introducing Lagrangian far-field turbulent transfer equations (L theory) in lieu of the K-theory approach. There was relatively little difference in simulated energy fluxes for the aspen canopy using L-theory versus K-theory turbulent transfer equations, but L theory tracked canopy air temperature profiles better during the growing season. Upward sensible heat flux was observed above aspen trees, within the aspen understory, and above sagebrush throughout the active snowmelt season. Model simulations confirmed the observed upward sensible flux during snowmelt was due to solar heating of the aspen limbs and sagebrush. Thus, the eddy covariance (EC) systems were unable to properly quantify fluxes at the snow surface when vegetation was present. Good agreement between measured and modeled energy fluxes suggest that they can be measured and simulated reliably in these complex environments, but care must be used in the interpretation of the results.

Corresponding author address: Gerald N. Flerchinger, USDA Agricultural Research Service, Northwest Watershed Research Center, 800 Park Boulevard, Suite 105, Boise, ID 83712. E-mail: gerald.flerchinger@ars.usda.gov

Abstract

Rangelands are often characterized by a patchy mosaic of vegetation types, making measurement and modeling of surface energy fluxes particularly challenging. The purpose of this study was to evaluate surface energy fluxes measured using three eddy covariance systems above and within two rangeland vegetation sites and use the data to improve simulations of turbulent energy fluxes in a multilayer plant canopy model: the Simultaneous Heat and Water (SHAW) model. Model modifications included adjustment of the wind profile roughness parameters for sparse canopies, extending the currently used K-theory approach to include influence of the roughness sublayer and stability functions within the canopy, and in a separate version of the model, introducing Lagrangian far-field turbulent transfer equations (L theory) in lieu of the K-theory approach. There was relatively little difference in simulated energy fluxes for the aspen canopy using L-theory versus K-theory turbulent transfer equations, but L theory tracked canopy air temperature profiles better during the growing season. Upward sensible heat flux was observed above aspen trees, within the aspen understory, and above sagebrush throughout the active snowmelt season. Model simulations confirmed the observed upward sensible flux during snowmelt was due to solar heating of the aspen limbs and sagebrush. Thus, the eddy covariance (EC) systems were unable to properly quantify fluxes at the snow surface when vegetation was present. Good agreement between measured and modeled energy fluxes suggest that they can be measured and simulated reliably in these complex environments, but care must be used in the interpretation of the results.

Corresponding author address: Gerald N. Flerchinger, USDA Agricultural Research Service, Northwest Watershed Research Center, 800 Park Boulevard, Suite 105, Boise, ID 83712. E-mail: gerald.flerchinger@ars.usda.gov
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  • Anderson, E. A., 1976: A point energy and mass balance of a snow cover. U.S. Department of Commerce, National Oceanic and Atmosphere Administration, National Weather Service NOAA Tech. Rep. NWS 19, 150 pp.

  • Arain, M. A., Black T. A. , Barr A. G. , Griffis T. J. , Morgenstern K. , and Nesic Z. , 2003: Year-round observations of the energy and water vapour fluxes above a boreal black spruce forest. Hydrol. Processes, 17, 3581–3600.

    • Search Google Scholar
    • Export Citation

  • Baldocchi, D., Finnigan J. , Wilson K. , Paw U K. T. , and Falge E. , 2000a: On measuring net ecosystem carbon exchange over tall vegetation on complex terrain. Bound.-Layer Meteor., 96, 257–291.

    • Search Google Scholar
    • Export Citation

  • Baldocchi, D., Law B. E. , and Anthoni P. , 2000b: On measuring and modeling energy fluxes above the floor of a homogeneous and heterogeneous conifer forest. Agric. For. Meteor., 102 (2–3), 187–206.

    • Search Google Scholar
    • Export Citation

  • Blanken, P. D., and Coauthors, 1997: Energy balance and surface conductance of a boreal aspen forest: Partitioning overstory and understory components. J. Geophys. Res., 102 (D24), 28 915–28 927.

    • Search Google Scholar
    • Export Citation

  • Blanken, P. D., and Coauthors, 1998: Turbulent flux measurements above and below the overstory of a boreal aspen forest. Bound.-Layer Meteor., 89, 109–140.

    • Search Google Scholar
    • Export Citation

  • Blanken, P. D., Black T. A. , Neumann H. H. , den Hartog G. , Yang P. C. , Nesic Z. , and Lee X. , 2001: The seasonal water and energy exchange above and within a boreal aspen forest. J. Hydrol., 245, 118–136.

    • Search Google Scholar
    • Export Citation

  • Campbell, G. S., 1997: An Introduction to Environmental Biophysics. Springer-Verlag, 136 pp.

  • Constantin, J., Grelle A. , Ibrom A. , and Morgenstern K. , 1999: Flux partitioning between understorey and overstorey in a boreal spruce/pine forest determined by the eddy covariance method. Agric. For. Meteor., 98–99, 629–643.

    • Search Google Scholar
    • Export Citation

  • Dilley, A. C., and O’Brien D. M. , 1998: Estimating downward clear sky long-wave irradiance at the surface from screen temperature and precipitable water. Quart. J. Roy. Meteor. Soc., 124, 1391–1401.

    • Search Google Scholar
    • Export Citation

  • Dufrêne, E., Davi H. , François C. , le Maire G. , Le Dantec V. , and Granier A. , 2005: Modelling carbon and water cycles in a beech forest: Part I: Model description and uncertainty analysis on modelled NEE. Ecol. Modell., 185, 407–436.

    • Search Google Scholar
    • Export Citation

  • Flerchinger, G. N., Hanson C. L. , and Wight J. R. , 1996: Modeling evapotranspiration and surface energy budgets across a watershed. Water Resour. Res., 32, 2539–2548.

    • Search Google Scholar
    • Export Citation

  • Flerchinger, G. N., Kustas W. P. , and Weltz M. A. , 1998: Simulating surface energy fluxes and radiometric surface temperatures for two arid vegetation communities using the SHAW model. J. Appl. Meteor., 37, 449–460.

    • Search Google Scholar
    • Export Citation

  • Flerchinger, G. N., Xaio W. , Marks D. , Sauer T. J. , and Yu Q. , 2009a: Comparison of algorithms for incoming atmospheric long-wave radiation. Water Resour. Res., 45, W03423, doi:10.1029/2008WR007394.

    • Search Google Scholar
    • Export Citation

  • Flerchinger, G. N., Xaio W. , Sauer T. J. , and Yu Q. , 2009b: Simulation of within-canopy radiation exchange. Wageningen J. Life Sci., 57, 5–15.

    • Search Google Scholar
    • Export Citation

  • Flerchinger, G. N., Marks D. , Reba M. L. , Yu Q. , and Seyfried M. S. , 2010: Surface fluxes and water balance of spatially varying vegetation within a small mountainous headwater catchment. Hydrol. Earth Syst. Sci., 14, 965–978.

    • Search Google Scholar
    • Export Citation

  • Hanson, C. L., 1989: Precipitation catch measured by the Wyoming shield and the dual-gauge systems. Water Resour. Bull., 25, 159–164.

    • Search Google Scholar
    • Export Citation

  • Hanson, C. L., Johnson G. L. , and Rango A. , 1999: Comparison of precipitation catch between nine measuring systems. J. Hydrol. Eng., 4, 70–75.

    • Search Google Scholar
    • Export Citation

  • Hanson, C. L., Pierson F. B. , and Johnson G. L. , 2004: Dual-gauge system for measuring precipitation: Historical development and use. J. Hydrol. Eng., 9, 350–359.

    • Search Google Scholar
    • Export Citation

  • Harman, I. N., and Finnigan J. J. , 2008: Scalar concentration profiles in the canopy and roughness sublayer. Bound.-Layer Meteor., 129, 323–351.

    • Search Google Scholar
    • Export Citation

  • Haverd, V., Leuning R. , Griffith D. , van Gorsel E. , and Cuntz M. , 2009: The turbulent Lagrangian time scale in forest canopies constrained by fluxes, concentrations and source distributions. Bound.-Layer Meteor., 130, 209–228.

    • Search Google Scholar
    • Export Citation

  • Hiller, R., Zeeman M. J. , and Eugster W. , 2008: Eddy-covariance flux measurements in the complex terrain of an alpine valley in Switzerland. Bound.-Layer Meteor., 127, 449–467.

    • Search Google Scholar
    • Export Citation

  • Jarosz, N., Brunet Y. , Lamaud E. , Irvine M. , Bonnefond J. , and Loustau D. , 2008: Carbon dioxide and energy flux partitioning between the understorey and the overstorey of a maritime pine forest during a year with reduced soil water availability. Agric. For. Meteor., 148, 1508–1523.

    • Search Google Scholar
    • Export Citation

  • Kaimal, J. C., and Finnigan J. J. , 1994: Atmospheric Boundary Layer Flows: Their Structure and Measurement. Oxford University Press, 289 pp.

  • Kosugi, Y., Takanashi S. , Tanaka H. , Ohkubo S. , Tani M. , Yano M. , and Katayama T. , 2007: Evapotranspiration over a Japanese cypress forest. I. Eddy covariance fluxes and surface conductance characteristics for 3 years. J. Hydrol., 337, 269–283.

    • Search Google Scholar
    • Export Citation

  • Leuning, R., 2000: Estimation of scalar source/sink distributions in plant canopies using Lagrangian dispersion analysis: Corrections for atmospheric stability and comparison with a multilayer canopy model. Bound.-Layer Meteor., 96, 293–314.

    • Search Google Scholar
    • Export Citation

  • Link, T. E., Flerchinger G. N. , Unsworth M. H. , and Marks D. , 2004: Simulation of water and energy fluxes in an old-growth seasonal temperate rain forest using the Simultaneous Heat and Water (SHAW) model. J. Hydrometeor., 5, 443–457.

    • Search Google Scholar
    • Export Citation

  • Marks, D., Reba M. , Pomeroy J. , Link T. , Winstral A. , Flerchinger G. , and Elder K. , 2008: Comparing simulated and measured sensible and latent heat fluxes over snow under a pine canopy. J. Hydrometeor., 9, 1506–1522.

    • Search Google Scholar
    • Export Citation

  • Massman, W., 1987: A comparative study of some mathematical models of the mean wind structure and aerodynamic drag of plant canopies. Bound.-Layer Meteor., 40, 179–197.

    • Search Google Scholar
    • Export Citation

  • Massman, W., 1997: An analytical one-dimensional model of momentum transfer by vegetation of arbitrary structure. Bound.-Layer Meteor., 83, 407–421.

    • Search Google Scholar
    • Export Citation

  • Nikolov, N., and Zeller K. F. , 2003: Modeling coupled interactions of carbon, water, and ozone exchange between terrestrial ecosystems and the atmosphere. I: Model description. Environ. Pollut., 124, 231–246.

    • Search Google Scholar
    • Export Citation

  • Norman, J. M., 1979: Modeling the complete crop canopy. Modification of the Aerial Environment of Plants, ASAE Monogr., No. 2, American Society of Agricultural Engineers, 249–277.

  • Oleson, K. W., and Coauthors, 2010: Technical description of version 4.0 of the Community Land Model (CLM). NCAR Tech. Note NCAR/TN-478+STR, 257 pp.

  • Pierson, F. B., Slaughter C. W. , and Cram Z. K. , 2001: Long-term discharge and suspended-sediment database, Reynolds Creek Experimental Watershed, Idaho, USA. Water Resour. Res., 37, 2857–2861.

    • Search Google Scholar
    • Export Citation

  • Pomeroy, J., Toth B. , Granger R. , Hedstrom N. , and Essery R. , 2003: Variation in surface energetics during snowmelt in complex terrain. J. Hydrometeor., 4, 702–716.

    • Search Google Scholar
    • Export Citation

  • Raupach, M. R., 1989: A practical Lagrangian method for relating scalar concentrations to source distributions in vegetation canopies. Quart. J. Roy. Meteor. Soc., 115, 609–632.

    • Search Google Scholar
    • Export Citation

  • Reba, M. L., Marks D. , Pomeroy J. , and Link T. E. , 2009: An assessment of corrections for eddy covariance measured turbulent fluxes over in mountain environments. Water Resour. Res., 45, W00D38, doi:10.1029/2008WR007045.

    • Search Google Scholar
    • Export Citation

  • Schotanus, P., Nieuwstadt F. T. M. , and De Bruin H. A. R. , 1983: Temperature measurement with sonic anemometer and its application to heat and moisture fluxes. Bound.-Layer Meteor., 26, 81–93.

    • Search Google Scholar
    • Export Citation

  • Scott, R. L., Watts C. , Payan J. G. , Edwards E. , Goodrich D. C. , Williams D. , and Shuttleworth W. J. , 2003: The understory and overstory partitioning of energy and water fluxes in an open canopy, semiarid woodland. Agric. For. Meteor., 114, 127–138.

    • Search Google Scholar
    • Export Citation

  • Smith, R., 2011: Space-time dynamics of runoff generation in a snowmelt-dominated montane catchment. Ph.D. dissertation, The University of British Columbia, 162 pp.

  • Turnipseed, A. A., Blanken P. D. , Anderson D. E. , and Monson R. K. , 2002: Energy budget above a high-elevation subalpine forest in complex topography. Agric. For. Meteor., 110, 177–201.

    • Search Google Scholar
    • Export Citation

  • Turnipseed, A. A., Anderson D. E. , Blanken P. D. , Baugh W. M. , and Monson R. K. , 2003: Airflows and turbulent flux measurements in mountainous terrain: Part 1. Canopy and local effects. Agric. For. Meteor., 119, 1–21.

    • Search Google Scholar
    • Export Citation

  • Twine, T. E., and Coauthors, 2000: Correcting eddy-covariance flux underestimates over a grassland. Agric. For. Meteor., 103, 279–300.

    • Search Google Scholar
    • Export Citation

  • Webb, E. K., Pearman G. I. , and Leuning R. , 1980: Correction of flux measurements for density effects due to heat and water vapor transfer. Quart. J. Roy. Meteor. Soc., 106, 85–100.

    • Search Google Scholar
    • Export Citation

  • Wilson, K. B., Hanson P. J. , and Baldocchi D. D. , 2000: Factors controlling evaporation and energy partitioning beneath a deciduous forest over an annual cycle. Agric. For. Meteor., 102, 83–103.

    • Search Google Scholar
    • Export Citation

  • Wilson, K. B., and Coauthors, 2002: Energy balance closure at FLUXNET sites. Agric. For. Meteor., 113, 223–243.

  • Wohlfahrt, G., 2004: Modelling fluxes and concentrations of CO2, H2O and sensible heat within and above a mountain meadow canopy: A comparison of three Lagrangian models and three parameterisation options for the Lagrangian time scale. Bound.-Layer Meteor., 113, 43–80.

    • Search Google Scholar
    • Export Citation

  • Wu, J., Guan D. , Han S. , Shi T. , Jin C. , Pei T. , and Yu G. , 2007: Energy budget above a temperate mixed forest in northeastern China. Hydrol. Processes, 21, 2425–2434.

    • Search Google Scholar
    • Export Citation

  • Zeng, X., and Wang A. , 2007: Consistent parameterization of roughness length and displacement height for sparse and dense canopies in land models. J. Hydrometeor., 8, 730–737.

    • Search Google Scholar
    • Export Citation
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