Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic
Volume 11, issue 4
Biogeosciences, 11, 1037-1051, 2014
https://doi.org/10.5194/bg-11-1037-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 11, 1037-1051, 2014
https://doi.org/10.5194/bg-11-1037-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 21 Feb 2014

Research article | 21 Feb 2014

Eddy-covariance flux errors due to biases in gas concentration measurements: origins, quantification and correction

G. Fratini1, D. K. McDermitt1, and D. Papale2,3 G. Fratini et al.
  • 1LI-COR Biosciences Inc., Lincoln, Nebraska, USA
  • 2Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, Viterbo, Italy
  • 3Euro-Mediterranean Center on Climate Change (CMCC), Via Augusto Imperatore 16, 73100 Lecce, Italy

Abstract. Errors in gas concentration measurements by infrared gas analysers can occur during eddy-covariance campaigns, associated with actual or apparent instrumental drifts or biases due to thermal expansion, dirt contamination, aging of components or errors in field operations. If occurring on long timescales (hours to days), these errors are normally ignored during flux computation, under the assumption that errors in mean gas concentrations do not affect the estimation of turbulent fluctuations and, hence, of covariances. By analysing instrument theory of operation, and using numerical simulations and field data, we show that this is not the case for instruments with curvilinear calibrations; we further show that if not appropriately accounted for, concentration biases can lead to roughly proportional systematic flux errors, where the fractional errors in fluxes are about 30–40% the fractional errors in concentrations. We quantify these errors and characterize their dependency on main determinants. We then propose a correction procedure that largely – potentially completely – eliminates these errors. The correction, to be applied during flux computation, is based on knowledge of instrument calibration curves and on field or laboratory calibration data. Finally, we demonstrate the occurrence of such errors and validate the correction procedure by means of a field experiment, and accordingly provide recommendations for in situ operations.

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