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Biogeosciences An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/bg-2017-499
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-2017-499
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 14 Dec 2017

Submitted as: research article | 14 Dec 2017

Review status
This discussion paper is a preprint. It has been under review for the journal Biogeosciences (BG). The manuscript was not accepted for further review after discussion.

A new procedure for processing eddy-covariance data to better quantify atmosphere-aquatic ecosystem CO2 exchanges

Tatsuki Tokoro1,a and Tomohiro Kuwae1 Tatsuki Tokoro and Tomohiro Kuwae
  • 1Coastal and Estuarine Research Group, Port and Airport Research Institute, 3-1-1 Nagase, Yokosuka 239-0826, Japan
  • aPresent address: Marine Macrophyte Ecosystem Group, National Research Institute of Fisheries and Environment of Inland Sea, 2-17-5, Hatsukaichi 73 9-0452, Japan

Abstract. The capture of carbon by aquatic ecosystems and its sequestration in sediments has been studied as a potential method for mitigating the adverse effects of climate change. However, the evaluation of in situ atmospheric CO2 fluxes is challenging because of the difficulty in making continuous measurements over areas and for periods of time that are environmentally relevant. The eddy covariance (EC) method is the most promising approach to address this concern with the measurement of atmospheric CO2 fluxes. However, methods to process the data obtained from EC measurements are still being developed, and the estimated air-water CO2 fluxes have large uncertainties and differ from those obtained using conventional methods. In this study, we improved the post-processing procedure for the EC method to reduce the uncertainty in the measured air-water CO2 fluxes. Our new procedure efficiently removes erroneous fluxes using a combination of filtering methods based on the received signal strength indicator of the EC sensor, the normalized standard deviation of atmospheric CO2 and water vapor concentrations, and a high-pass filter. Our procedure is easier to apply to EC measurements than existing correction methods. The improved EC fluxes did not always agree with those obtained by using conventional methods (e.g., the bulk formula method), but this difference was attributable to the difference of measurement heights and the effect on the measured fluxes of the physical and biological properties of the water surface (e.g., the presence of vegetation on the water surface and the temperature gradient in the overlying atmospheric layer). Because the measurement height and the spatiotemporal scales of the flux measurement depend on the applied method, it is essential to select the appropriate method for studies related to CO2 fluxes and to the determination of ecosystem-atmospheric CO2 interactions and the role of aquatic ecosystems in mitigating the adverse effects of climate change.

Tatsuki Tokoro and Tomohiro Kuwae
Interactive discussion
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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Tatsuki Tokoro and Tomohiro Kuwae
Tatsuki Tokoro and Tomohiro Kuwae
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Short summary
The eddy covariance (EC) method is the most promising approach for the measurement of atmospheric CO2 flux. However, the methods are currently in the development stage, and have large uncertainties. In this study, we improved the post-processing procedure for the EC method to reduce the uncertainty. The new processing method is expected to be useful in studies related to ecosystem-atmospheric CO2 interactions.
The eddy covariance (EC) method is the most promising approach for the measurement of...
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