Abstract
As a new type of wind field detection equipment, coherent Doppler wind lidar (CDWL) still needs more relevant observation experiments to compare and verify whether it can achieve the accuracy and precision of traditional observation equipment in urban areas. In this experiment, a self-developed CDWL provided four months of observations in the southern Beijing area. After the data acquisition time and height match, the wind profile data obtained based on a Doppler beam swinging (DBS) five-beam inversion algorithm were compared with radiosonde data released from the same location. The standard deviation (SD) of wind speed is 0.8 m s−1, and the coefficient of determination R2 is 0.95. The SD of the wind direction is 17.7° with an R2 of 0.96. Below the height of the roughness sublayer (about 400 m), the error in wind speed and wind direction is significantly greater than the error above the height of the boundary layer (about 1500 m). For the case of wind speeds less than 4 m s−1, the error of wind direction is more significant and is affected by the distribution of surrounding buildings. Averaging at different height levels using suitable time windows can effectively reduce the effects of turbulence and thus reduce the error caused by the different measurement methods of the two devices.
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Acknowledgements
We sincerely thank the Meteorological Observation Centre of the China Meteorological Administration for organizing this observation campaign and the Meteorological Observation Centre of Beijing for providing the radiosonde data. This work was financially supported by the National Key R&D Program of China (2022YFC3700400 & 2022YFB3901700).
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Article Highlights
• CDWL five-beam measurements were used to obtain wind field data in urban areas, which were compared with radiosonde data over an extended period.
• The correlation of wind speed and wind direction within the roughness sublayer is obviously poorer, owing to the effects of turbulence.
• The error in wind direction is highly influenced by the layout of the surrounding buildings, resulting in larger errors at lower wind speeds.
• The time average window for wind direction should be smaller than that for wind speed, and the time window needs to decrease with height.
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Luo, Z., Song, X., Yin, J. et al. Comparison and Verification of Coherent Doppler Wind Lidar and Radiosonde Data in the Beijing Urban Area. Adv. Atmos. Sci. (2024). https://doi.org/10.1007/s00376-024-3240-9
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DOI: https://doi.org/10.1007/s00376-024-3240-9