The characteristic of relative error in eddy covariance measurements and its application to data quality control in rainfed paddy field

Wonsik Kim, Daiske Komori, Jaeil Cho

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The long-term measurements of sensible and latent heat and CO2 fluxes (H, lE, and Fc) in various terrestrial ecosystems contribute to improve understanding of the biogeochemical cycle on interaction between the biosphere and atmosphere. The flux is measured by the eddy covariance method using not only reliable micrometeorological knowledge but also developed instrumental techniques. However, the eddy covariance measurements should include error (δ) as a statistical uncertainty because of diverse measurement conditions based against theoretical assumptions. Here, we take account of the relative error (φ) to evaluate the flux measurements with statistical analysis of rainfed paddy field in tropical crop regions. The least median of squares (LMS) method is applied to estimate the spatiotemporal descriptive statistics of relative error [formula omitted] because the frequency distribution of φ has more significant kurtosis and skewness than Gaussian. Consequently, we found that [formula omitted], which is similar to other studies, despite the seasonal variation and the difference in land cover. The characteristic of φ presented in this study could be of significant use in the quality control analysis of eddy covariance flux measurements.

Original languageEnglish
Pages (from-to)201-207
Number of pages7
JournalJournal of Agricultural Meteorology
Volume65
Issue number2
DOIs
Publication statusPublished - 2009 Jan 1
Externally publishedYes

Keywords

  • Data quality control
  • Eddy covariance measurements
  • Flux
  • Rainfed paddy field
  • Relative error

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Atmospheric Science

Fingerprint Dive into the research topics of 'The characteristic of relative error in eddy covariance measurements and its application to data quality control in rainfed paddy field'. Together they form a unique fingerprint.

Cite this