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Directly Measuring Atmospheric Turbulence Parameters Using Coherent Doppler Wind Lidar.

Authors :
Jinhong Xian
Chao Lu
Xiaoling Lin
Honglong Yang
Ning Zhang
Li Zhang
Source :
Atmospheric Measurement Techniques Discussions. 12/11/2023, p1-15. 15p.
Publication Year :
2023

Abstract

Atmospheric turbulence parameters, such as turbulent kinetic energy and dissipation rate, are of great significance in weather prediction, meteorological disasters, and forecasting. Due to the lack of ideal direct detection methods, traditional structure function methods are mainly based on Kolmogorov's assumption of local isotropic turbulence and the well-known -5/3 power law within the inertial subrange, which limits their application. Here, we propose a method for directly measuring atmospheric turbulence parameters using coherent Doppler wind lidar, which can directly obtain atmospheric turbulence parameters and vertical structural features, breaking the limitations of traditional methods. The first published spatiotemporal distribution map of the power-law exponent of the inertial subrange is provided in this study, which indicates the heterogeneity of atmospheric turbulence at different altitudes, and also indicates that the power-law exponent at high altitudes does not fully comply with the -5/3 power law, proving the superiority of our method. We analyze the results under different weather conditions, indicating that the method still holds. The turbulent kinetic energy and power-law index obtained by this method are continuously compared with the results obtained with an ultrasonic anemometer for a monthlong period. The results of the two have high consistency and correlation, verifying the accuracy and applicability of the proposed method. The proposed method has great significance in studying the vertical structural characteristics of atmospheric turbulence. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18678610
Database :
Academic Search Index
Journal :
Atmospheric Measurement Techniques Discussions
Publication Type :
Academic Journal
Accession number :
174198043
Full Text :
https://doi.org/10.5194/amt-2023-249