Quality evaluation for measurements of wind field and turbulent fluxes from a UAV-based eddy covariance system

IF 3.2 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Yibo Sun, Bilige Sude, Xingwen Lin, Bing Geng, Bo Liu, Shengnan Ji, Junping Jing, Zhiping Zhu, Ziwei Xu, Shaomin Liu, Zhanjun Quan
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Abstract

Abstract. Instrumentation packages for eddy covariance (EC) measurements have been developed for unoccupied aerial vehicles (UAVs) to measure the turbulent fluxes of latent heat (LE), sensible heat (H), and CO2 (Fc) in the atmospheric boundary layer. This study aims to evaluate the performance of this UAV-based EC system. First, the measurement precision (1σ) of georeferenced wind was estimated to be 0.07 m s−1. Then, the effect of the calibration parameter and aerodynamic characteristics of the UAV on wind measurement was examined by conducting a set of calibration flights. The results showed that the calibration improved the quality of the measured wind field, and the influence of upwash and the leverage effect can be ignored in wind measurement by the UAV. Third, for the measurements of turbulent fluxes, the error caused by instrumental noise was estimated to be 0.03 µmolm-2s-1 for Fc, 0.02 W m−2 for H, and 0.08 W m−2 for LE. Fourth, data from the standard operational flights were used to assess the influence of resonance on the measurements and to test the sensitivity of the measurement under the variation (±30 %) in the calibration parameters around their optimum value. The results showed that the effect of resonance mainly affected the measurement of CO2 (∼5 %). The pitch offset angle (εθ) significantly affected the measurement of vertical wind (∼30 %) and turbulent fluxes (∼15 %). The heading offset angle (εψ) mainly affected the measurement of horizontal wind (∼15 %), and other calibration parameters had no significant effect on the measurements. The results lend confidence to the use of the UAV-based EC system and suggest future improvements for the optimization of the next-generation system.
基于无人机的涡动相关系统测量风场和湍流通量的质量评价
摘要。涡动相关(EC)测量仪器包已开发用于无人飞行器(uav)测量大气边界层中潜热(LE),感热(H)和CO2 (Fc)的湍流通量。本研究旨在评估这种基于无人机的电子商务系统的性能。首先,估计了地理参考风的测量精度(1σ)为0.07 m s−1。然后,通过一组标定飞行,考察了标定参数和无人机气动特性对风速测量的影响。结果表明,标定提高了风场测量质量,在无人机风场测量中可以忽略上冲流和杠杆效应的影响。第三,对于湍流通量的测量,仪器噪声引起的误差估计为Fc为0.03 μ molm-2s-1, H为0.02 W m-2, LE为0.08 W m-2。第四,使用来自标准操作飞行的数据来评估共振对测量的影响,并测试在校准参数在其最佳值周围变化(±30%)下测量的灵敏度。结果表明,共振效应主要影响CO2(~ 5%)的测量。俯仰偏置角(εθ)对垂直风(~ 30%)和湍流通量(~ 15%)的测量有显著影响。航向偏置角(εψ)主要影响水平风的测量(~ 15%),其他标定参数对测量无显著影响。研究结果为使用基于无人机的EC系统提供了信心,并为下一代系统的优化提出了未来的改进建议。
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来源期刊
Atmospheric Measurement Techniques
Atmospheric Measurement Techniques METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
7.10
自引率
18.40%
发文量
331
审稿时长
3 months
期刊介绍: Atmospheric Measurement Techniques (AMT) is an international scientific journal dedicated to the publication and discussion of advances in remote sensing, in-situ and laboratory measurement techniques for the constituents and properties of the Earth’s atmosphere. The main subject areas comprise the development, intercomparison and validation of measurement instruments and techniques of data processing and information retrieval for gases, aerosols, and clouds. The manuscript types considered for peer-reviewed publication are research articles, review articles, and commentaries.
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