Tolerance of eddy covariance flux measurement

• Kim Wonsik

  National Institute for Agro-Environmental Sciences

• Cho Jaeil

  Kasuya Research Forest, Kyushu University

• Komori Daisuke

  Institute of Industrial Science, The University of Tokyo

• Aoki Masatoshi

  Tokyo University of Agriculture and Technology

• Yokozawa Masayuki

  National Institute for Agro-Environmental Sciences

• Kanae Shinjiro

  Tokyo Institute of Technology

• Oki Taikan

  Institute of Industrial Science, The University of Tokyo

Abstract

Eddy covariance (EC) flux measurement is the most-used technique for observation of the fluxes of sensible heat, latent heat, and carbon dioxide between the land surface and the atmospheric boundary layer. Despite the availability of plentiful EC data from numerous research projects, it is difficult to make meaningful comparisons of EC at different sites, to validate the models used, and to integrate observed data with models because the uncertainties of the method are inadequately defined. We developed a method to evaluate the uncertainties of the EC method without the need to consider individual site specifications and flux characteristics. We showed that the fractional error φ of EC (i.e., tolerance T) can be separated into random and illegitimate components. T can be used as a scale parameter for spatiotemporal stationarity, and can be defined as a rational function. We demonstrated a practical application of T analyses for two contrasting areas: a low-relief paddy field and an area of more complex land-forms where dramatic wind changes affect fluxes, and showed that T analysis provides an appropriate and effective method to determine the uncertainties in EC.<br>

Journal

• Hydrological Research Letters

  Hydrological Research Letters 5 73-77, 2011

  Japan Society of Hydrology and Water Resources (JSHWR) / Japanese Association of Groundwater Hydrology (JAGH) / Japanese Association of Hydrological Sciences (JAHS) / Japanese Society of Physical Hydrology (JSPH)

Keywords

• Earth and Planetary Sciences (miscellaneous)
• Water Science and Technology

Details

• CRID: 1390282680266864640
• NII Article ID: 130001284641
• DOI: 10.3178/hrl.5.73
• ISSN: 18823416
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed