Determining Meaningful Differences for SMACEX Eddy Covariance Measurements

D. W. Meek National Soil Tilth Laboratory, ARS, USDA, Ames, Iowa

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J. H. Prueger National Soil Tilth Laboratory, ARS, USDA, Ames, Iowa

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W. P. Kustas Hydrology and Remote Sensing Laboratory, ARS, USDA, Beltsville, Maryland

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J. L. Hatfield National Soil Tilth Laboratory, ARS, USDA, Ames, Iowa

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Abstract

Two eddy covariance instrument comparison studies were conducted before and after the Soil Moisture–Atmosphere Coupling Experiment (SMACEX) field campaign to 1) determine if observations from multiple sensors were equivalent for the measured variables over a uniform surface and to 2) determine a least significant difference (LSD) value for each variable to discriminate between daily and hourly differences in latent and sensible heat and carbon dioxide fluxes, friction velocity, and standard deviation of the vertical wind velocity from eddy covariance instruments placed in different locations within the study area. The studies were conducted in early June over an alfalfa field and in mid-September over a short grass field. Several statistical exploratory, graphical, and multiple-comparison procedures were used to evaluate each daily variable. Daily total or average data were used to estimate a pooled standard error and corresponding LSD values at the P = 0.05 and P = 0.01 levels using univariate procedures. There were no significant sensor differences in any of the daily measurements for either intercomparison period. Hourly averaged data were used to estimate a pooled standard error and corresponding LSD values at the P = 0.05 and P = 0.01 levels using mixed model procedures. Sensor differences for pre- and post-intercomparisons were minimal for hourly and daily values of CO2, water vapor, sensible heat, friction velocity, and standard deviation for vertical wind velocity. Computed LSD values were used to determine significant daily differences and threshold values for the variables monitored during the SMACEX campaign.

Corresponding author address: D. W. Meek, USDA-ARS, National Soil Tilth Laboratory, Ames, IA 50011. Email: meek@nstl.gov

Abstract

Two eddy covariance instrument comparison studies were conducted before and after the Soil Moisture–Atmosphere Coupling Experiment (SMACEX) field campaign to 1) determine if observations from multiple sensors were equivalent for the measured variables over a uniform surface and to 2) determine a least significant difference (LSD) value for each variable to discriminate between daily and hourly differences in latent and sensible heat and carbon dioxide fluxes, friction velocity, and standard deviation of the vertical wind velocity from eddy covariance instruments placed in different locations within the study area. The studies were conducted in early June over an alfalfa field and in mid-September over a short grass field. Several statistical exploratory, graphical, and multiple-comparison procedures were used to evaluate each daily variable. Daily total or average data were used to estimate a pooled standard error and corresponding LSD values at the P = 0.05 and P = 0.01 levels using univariate procedures. There were no significant sensor differences in any of the daily measurements for either intercomparison period. Hourly averaged data were used to estimate a pooled standard error and corresponding LSD values at the P = 0.05 and P = 0.01 levels using mixed model procedures. Sensor differences for pre- and post-intercomparisons were minimal for hourly and daily values of CO2, water vapor, sensible heat, friction velocity, and standard deviation for vertical wind velocity. Computed LSD values were used to determine significant daily differences and threshold values for the variables monitored during the SMACEX campaign.

Corresponding author address: D. W. Meek, USDA-ARS, National Soil Tilth Laboratory, Ames, IA 50011. Email: meek@nstl.gov

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  • Conover, W. J., and Iman R. L. , 1981: Rank transformations as a bridge between parametric and nonparametric statistics. Amer. Stat., 35 , 124128.

    • Search Google Scholar
    • Export Citation
  • Fritschen, L. J., Qian P. , Kanemasu E. T. , Nie D. , Smith E. A. , Stewart J. B. , Verma S. B. , and Wesely M. L. , 1992: Comparisons of surface flux measurement systems used in FIFE 1989. J. Geophys. Res., 97 , D17,. 1869718713.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Goulden, M. L., Munger J. W. , Fan S. M. , Daube B. C. , and Wofsy S. C. , 1996: Measurements of carbon sequestration by long-term eddy covariance: Methods and a critical evaluation of accuracy. Global Change Biol., 2 , 169182.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hoagland, D. C., Mosteller F. , and Tukey J. W. , 1983: Understanding Robust and Exploratory Data Analysis. J. Wiley & Sons, 447 pp.

  • Jones, R. H., 1975: Estimating the variances of time averages. J. Appl. Meteor., 14 , 159169.

  • Kustas, W. P., Hatfield J. L. , and Prueger J. H. , 2005: The Soil Moisture–Atmosphere Coupling Experiment (SMACEX): Background, hydrometeorological conditions, and preliminary findings. J. Hydrometeor., 6 , 791804.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Littell, R., Milliken G. , Stroup W. , and Wolfinger R. , 1996: SAS System for Mixed Models. SAS Institute, 633 pp.

  • MacPherson, J. I., Grossman R. L. , and Kelly R. D. , 1992: Intercomparison results for FIFE flux aircraft. J. Geophys. Res., 97 , D17,. 1849918514.

  • McGill, R., Tukey J. W. , and Larsen W. A. , 1978: Variation of box plots. Amer. Stat., 32 , 1216.

  • Meek, D. W., and Hatfield J. L. , 2001: Single station quality control procedures. Proc. Int. Conf. on Automated Weather Stations for Application in Agriculture and Water Resource Management: Current Use and Future Perspectives, Lincoln, NE, High Plains Climate Center and WMO, 123–132.

  • Meek, D. W., Prueger J. H. , Sauer T. J. , Kustas W. P. , Hipps L. E. , and Hatfield J. L. , 1999: A note on recognizing autocorrelation and using autoregression. Agric. For. Meteor., 96 , 917.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Meek, D. W., Dinnes D. , Jaynes D. , Cambardella C. , Colvin T. , Hatfield J. , and Karlen D. , 2001: An autoregression model for a paired watershed comparison. Proc. 12th Applied Statistics in Agriculture Conf., Manhattan, KS, Statistics Department, Kansas State University, 223–231.

    • Crossref
    • Export Citation
  • Moncrief, J. B., Verma S. B. , and Cook D. R. , 1992: Intercomparison of eddy correlation carbon dioxide sensors during FIFE 1989. J. Geophys. Res., 97 , D17,. 1872518730.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nie, D., and Coauthors, 1992: An intercomparison of surface energy flux measurement systems used during FIFE 1987. J. Geophys. Res., 97 , D17,. 1871518724.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Prueger, J. H., and Coauthors, 2004: Tower and aircraft eddy covariance measurements of water, energy, and carbon dioxide fluxes during SMACEX. J. Hydrometeor., 6 , 954960.

    • Search Google Scholar
    • Export Citation
  • Sall, J., 1992: Graphical comparison of means. Statistical Computing and Graphics Newsletter, Vol. 3, April, 27–32.

  • Shuttleworth, J. W., Gash J. H. C. , Lloyd C. R. , McNeil D. D. , Moore C. J. , and Wallace J. S. , 1988: An integrated micrometeorological system for evaporation measurements. Agric. For. Meteor., 43 , 295317.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Spittlehouse, D. L., and Black T. A. , 1979: Determination of forest evapotranspiration using Bowen ratio and eddy correlation measurements. J. Appl. Meteor., 18 , 647653.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Spittlehouse, D. L., and Black T. A. , 1980: Evaluation of the Bowen ratio energy balance method for determining forest evapotranspiration. Atmos.–Ocean, 18 , 98116.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Tsvang, L. R., and Coauthors, 1985: International turbulence comparison experiment (ITCE-81). Bound.-Layer Meteor., 31 , 325348.

  • Westfall, P., Tobias R. , Rom D. , Wolfinger R. , and Hochberg Y. , 1999: Multiple Comparisons and Multiple Tests Using SAS. SAS Institute, 397 pp.

    • Search Google Scholar
    • Export Citation
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