Articles | Volume 11, issue 11
https://doi.org/10.5194/amt-11-5981-2018
https://doi.org/10.5194/amt-11-5981-2018
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

Related authors

Field assessments on impact of CO2 concentration fluctuations along with complex terrain flows on the estimation of the net ecosystem exchange of temperate forests
Dexiong Teng, Jiaojun Zhu, Tian Gao, Fengyuan Yu, Yuan Zhu, Xinhua Zhou, and Bai Yang
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-6,https://doi.org/10.5194/amt-2024-6, 2024
Revised manuscript under review for AMT
Short summary
Accuracies of field CO2–H2O data from open-path eddy-covariance flux systems: assessment based on atmospheric physics and biological environment
Xinhua Zhou, Tian Gao, Ning Zheng, Bai Yang, Yanlei Li, Fengyuan Yu, Tala Awada, and Jiaojun Zhu
Geosci. Instrum. Method. Data Syst., 11, 335–357, https://doi.org/10.5194/gi-11-335-2022,https://doi.org/10.5194/gi-11-335-2022, 2022
Short summary
Air temperature equation derived from sonic temperature and water vapor mixing ratio for turbulent airflow sampled through closed-path eddy-covariance flux systems
Xinhua Zhou, Tian Gao, Eugene S. Takle, Xiaojie Zhen, Andrew E. Suyker, Tala Awada, Jane Okalebo, and Jiaojun Zhu
Atmos. Meas. Tech., 15, 95–115, https://doi.org/10.5194/amt-15-95-2022,https://doi.org/10.5194/amt-15-95-2022, 2022
Short summary
An eddy-covariance system with an innovative vortex intake for measuring carbon dioxide and water fluxes of ecosystems
Jingyong Ma, Tianshan Zha, Xin Jia, Steve Sargent, Rex Burgon, Charles P.-A. Bourque, Xinhua Zhou, Peng Liu, Yujie Bai, and Yajuan Wu
Atmos. Meas. Tech., 10, 1259–1267, https://doi.org/10.5194/amt-10-1259-2017,https://doi.org/10.5194/amt-10-1259-2017, 2017
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: In Situ Measurement | Topic: Instruments and Platforms
Modelling of cup anemometry and dynamic overspeeding in average wind speed measurements
Troels Friis Pedersen and Jan-Åke Dahlberg
Atmos. Meas. Tech., 17, 1441–1461, https://doi.org/10.5194/amt-17-1441-2024,https://doi.org/10.5194/amt-17-1441-2024, 2024
Short summary
Introducing the Video In Situ Snowfall Sensor (VISSS)
Maximilian Maahn, Dmitri Moisseev, Isabelle Steinke, Nina Maherndl, and Matthew D. Shupe
Atmos. Meas. Tech., 17, 899–919, https://doi.org/10.5194/amt-17-899-2024,https://doi.org/10.5194/amt-17-899-2024, 2024
Short summary
Quality evaluation for measurements of wind field and turbulent fluxes from a UAV-based eddy covariance system
Yibo Sun, Bilige Sude, Xingwen Lin, Bing Geng, Bo Liu, Shengnan Ji, Junping Jing, Zhiping Zhu, Ziwei Xu, Shaomin Liu, and Zhanjun Quan
Atmos. Meas. Tech., 16, 5659–5679, https://doi.org/10.5194/amt-16-5659-2023,https://doi.org/10.5194/amt-16-5659-2023, 2023
Short summary
A new reference-quality precipitation gauge wind shield
John Kochendorfer, Tilden P. Meyers, Mark E. Hall, Scott D. Landolt, Justin Lentz, and Howard J. Diamond
Atmos. Meas. Tech., 16, 5647–5657, https://doi.org/10.5194/amt-16-5647-2023,https://doi.org/10.5194/amt-16-5647-2023, 2023
Short summary
Cost Effective Off-Grid Automatic Precipitation Samplers for Pollutant and Biogeochemical Atmospheric Deposition
Alessia A. Colussi, Daniel Persaud, Melodie Lao, Bryan K. Place, Rachel F. Hems, Susan E. Ziegler, Kate A. Edwards, Cora J. Young, and Trevor C. VandenBoer
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-231,https://doi.org/10.5194/amt-2023-231, 2023
Revised manuscript accepted for AMT
Short summary

Cited articles

Barrett, E. W. and Suomi V. E.: Preliminary report on temperature measurement by sonic means, J. Atmos. Sci., 6, 273–276, https://doi.org/10.1175/1520-0469(1949)006<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, https://doi.org/10.1016/j.agrformet.2009.06.021, 2009. 
Buck, A. L.: New equations for computing vapor pressure and enhancement factor, J. Appl. Meteorol., 20, 1527–1532, https://doi.org/10.1175/1520-0450(1981)020<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, https://doi.org/10.5194/amt-5-2095-2012, 2012. 
Campbell Scientific Inc.: EasyFlux DL CR3000OP for CR3000 and Open-Path eddy-Covariance System, Instruction Manual, 140 pp., Logan, UT, 2016. 
Download
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.