Articles | Volume 11, issue 11
Research article
30 Oct 2018
Research article |  | 30 Oct 2018

Recovery of the three-dimensional wind and sonic temperature data from a physically deformed sonic anemometer

Xinhua Zhou, Qinghua Yang, Xiaojie Zhen, Yubin Li, Guanghua Hao, Hui Shen, Tian Gao, Yirong Sun, and Ning Zheng

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Cited articles

Barrett, E. W. and Suomi V. E.: Preliminary report on temperature measurement by sonic means, J. Atmos. Sci., 6, 273–276,<0273:PROTMB>2.0.CO;2, 1949. 
Blonquist, J. M. J., Norman, J. M., and Bugbee, B.: Automated measurement of canopy stomatal conductance based on infrared temperature, Agr. Forest Meteorol., 149, 2183–2197,, 2009. 
Buck, A. L.: New equations for computing vapor pressure and enhancement factor, J. Appl. Meteorol., 20, 1527–1532,<1527:NEFCVP>2.0.CO;2, 1981. 
Burns, S. P., Horst, T. W., Jacobsen, L., Blanken, P. D., and Monson, R. K.: Using sonic anemometer temperature to measure sensible heat flux in strong winds, Atmos. Meas. Tech., 5, 2095–2111,, 2012. 
Campbell Scientific Inc.: EasyFlux DL CR3000OP for CR3000 and Open-Path eddy-Covariance System, Instruction Manual, 140 pp., Logan, UT, 2016. 
Short summary
The three-dimensional wind and sonic temperature data from a physically deformed sonic anemometer was successfully recovered by developing equations, algorithms, and related software. Using two sets of geometry data from production calibration and return re-calibration, this algorithm can recover wind with/without transducer shadow correction and sonic temperature with crosswind correction, and then obtain fluxes at quality as expected. This study is applicable as a reference for related topics.