Articles | Volume 9, issue 12
https://doi.org/10.5194/amt-9-5933-2016
https://doi.org/10.5194/amt-9-5933-2016
Research article
 | 
12 Dec 2016
Research article |  | 12 Dec 2016

A Bayesian model to correct underestimated 3-D wind speeds from sonic anemometers increases turbulent components of the surface energy balance

John M. Frank, William J. Massman, and Brent E. Ewers

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Cited articles

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Short summary
Ecosystem flux networks measure carbon dioxide and water vapor exchange and are integral to global studies of the biosphere and climate change. Yet recent evidence suggests a measurement error in sonic anemometry, the principal instrument for eddy-covariance research. A novel Bayesian analysis estimates the three-dimensional correction in these instruments and demonstrates that 60 % of the sites within the AmeriFlux network and numerous others globally underestimate all ecosystem fluxes by 8–12 %.