Abstract

The results of lidar study of wind turbulence, low level jet streams, and internal atmospheric waves in the stable boundary layer of atmosphere on the coast of Lake Baikal are presented. Few events of the atmospheric internal waves (AIWs) were registered during the experimental campaign. All the registered AIWs were observed in the presence of low level jet streams. Two dimensional time–height patterns of the wind turbulence dissipation rate during AIW events were obtained as well.

Highlights

  • Wind turbulence, low level jet streams, and atmospheric internal waves (AIWs) were studied on the coast of the Lake Baikal in summer campaigns of 2015 and 2016 with the use of a Stream Line lidar (Halo Photonics)

  • The analysis of the lidar data processing results shows several AIW events occurred in the presence of jet streams

  • To assess the turbulence energy dissipation rate ε, we used the method of transverse structure function of the radial velocity measured by the lidar during conical scanning [5]

Read more

Summary

Introduction

Low level jet streams, and atmospheric internal waves (AIWs) were studied on the coast of the Lake Baikal in summer campaigns of 2015 and 2016 with the use of a Stream Line lidar (Halo Photonics). The lidar was mounted 340 m away from the coast of the lake, on the territory of the Baikal Astrophysical Observatory of Institute of Solar-Terrestrial Physics, Siberian Branch, Russian Academy of Sciences (51°50'47.17"N, 104°53'31.21"E); the lidar altitude above the lake level was 180 m. The analysis of the lidar data processing results shows several AIW events occurred in the presence of jet streams. Two jet streams were observed simultaneously during some AIW events. Using the initial data of these measurements (arrays of radial velocities and signalto-noise ratios (SNR)) we retrieved the time– height patterns of the turbulence kinetic energy dissipation rate and calculated the relative error of assessment of the dissipation rate from the lidar data

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.