Characteristics of the relative sampling error and its application to flux aggregation in eddy covariance measurements
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- Wonsik KIM
- National Agriculture and Food Research Organization
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- SEO Hyeongho
- Research Institute of Climate Change and Agriculture
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- KOMORI Daisuke
- Tohoku University
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- Jaeil CHO
- Chonnam National University
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Using eddy covariance (EC) measurements, exchanges of energy, water, and carbon dioxide between the atmosphere and terrestrial ecosystem have been studied worldwide. EC measurements fundamentally operate under the hypotheses of stationarity and ergodicity. However, these hypotheses are disturbed in the real world by various factors generated by varying atmospheric and land surface conditions. The relative sampling error—a parameter quantifying this disturbance estimated by the average convergence in a time series—from a tangerine orchard is investigated to determine its range in the real world, and its capabilities as a quality parameter for EC measurements. Our results showed that the relative sampling error ranges from 5% to infinity and displays a close relationship with the integral turbulence characteristic as a function of atmospheric stability. Therefore, we suggest that the relative sampling error represents a quality parameter for EC measurements and can be a weighting factor for statistical aggregations of exchanges observed by EC measurements.
収録刊行物
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- 農業気象
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農業気象 76 (2), 89-95, 2020
日本農業気象学会
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詳細情報 詳細情報について
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- CRID
- 1390565134847030016
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- NII論文ID
- 130007830230
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- NII書誌ID
- AN00200732
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- ISSN
- 18810136
- 00218588
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- NDL書誌ID
- 030370242
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可