Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 9, issue 12
Articles | Volume 9, issue 12
https://doi.org/10.5194/amt-9-5933-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-5933-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 9, issue 12
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

Viewed

Total article views: 2,965 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,667 1,185 113 2,965 314 152 183
  • HTML: 1,667
  • PDF: 1,185
  • XML: 113
  • Total: 2,965
  • Supplement: 314
  • BibTeX: 152
  • EndNote: 183
Views and downloads (calculated since 23 Jun 2016)
Cumulative views and downloads (calculated since 23 Jun 2016)
Latest update: 05 Dec 2025
Download
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 %.
Read more
Share