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http://dx.doi.org/10.5532/KJAFM.2009.11.1.019

Standardization of KoFlux Eddy-Covariance Data Processing  

Hong, Jin-Kyu (Department of Atmospheric Sciences/Global Environment Lab, Yonsei University)
Kwon, Hyo-Jung (Department of Atmospheric Sciences/Global Environment Lab, Yonsei University)
Lim, Jong-Hwan (Korea Forest Research Institute, Department of Forest Environment)
Byun, Young-Hwa (National Institute of Meteorological Research, Climate Research Lab)
Lee, Jo-Han (National Institute of Meteorological Research, Climate Research Lab)
Kim, Joon (Department of Atmospheric Sciences/Global Environment Lab, Yonsei University)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.11, no.1, 2009 , pp. 19-26 More about this Journal
Abstract
The standardization of eddy-covariance data processing is essential for the analysis and synthesis of vast amount of data being accumulated through continuous observations in various flux measurement networks. End users eventually benefit from the open and transparent standardization protocol by clear understanding of final products such as evapotranspiration and gross primary productivity. In this paper, we briefly introduced KoFlux efforts to standardize data processing methodologies and then estimated uncertainties of surface fluxes due to different processing methods. Based on our scrutiny of the data observed at Gwangneung KoFlux site, net ecosystem exchange and ecosystem respiration were sensitive to the selection of different processing methods. Gross primary production, however, was consistent within errors due to cancellation of the differences in NEE and Re, emphasizing that independent observation of ecosystem respiration is required for accurate estimates of carbon exchange. Nocturnal soil evaporation was small and thus the annually integrated evapotranspiration was not sensitive to the selection of different data processing methods. The implementation of such standardized data processing protocol to AsiaFlux will enable the establishment of consistent database for validation of models of carbon cycle, dynamic vegetation, and land-atmosphere interaction at regional scale.
Keywords
Eddy-covariance; Standardization; data processing; Uncertainty; KoFlux;
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