Preprints
https://doi.org/10.5194/amt-2021-288
https://doi.org/10.5194/amt-2021-288

  18 Nov 2021

18 Nov 2021

Review status: this preprint is currently under review for the journal AMT.

Turbulence Detection in the Atmospheric Boundary Layer using Coherent Doppler Wind Lidar and Microwave Radiometer

Pu Jiang1, Jinlong Yuan1, Kenan Wu1, Lu Wang1, and Haiyun Xia1,2,3 Pu Jiang et al.
  • 1School of Earth and Space Science, University of Science and Technology of China, Hefei 230026, China
  • 2Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230026, China
  • 3CAS Center for Excellence in Comparative Planetology, Hefei 230026, China

Abstract. The refractive index structure constant (Cn2) is a key parameter in describing the influence of turbulence on laser transmission in the atmosphere. A new method for continuous Cn2 profiling with both high temporal and spatial resolution is proposed and demonstrated. Under the assumption of the Kolmogorov “2/3 law”, the Cn2 profile can be calculated by using the wind field and turbulent kinetic energy dissipation rate (TKEDR) measured by coherent Doppler wind lidar (CDWL) and other meteorological parameters derived from microwave radiometer (MWR). In the horizontal experiment, a comparison between the results from our new method and measurements made by a large aperture scintillometer (LAS) is conducted. Except for the period of stratification stabilizing, the correlation coefficient between them in the six-day observation is 0.8389, the mean error and standard deviation is 1.09 × 10−15 m−2/3 and 2.14 × 10−15 m−2/3, respectively. In the vertical direction, the continuous observation results of Cn2 and other turbulence parameter profiles in the atmospheric boundary layer (ABL) are retrieved. More details of the atmospheric turbulence can be found in the ABL owe to the high temporal and spatial resolution of MWR and CDWL (spatial resolution of 26 m, temporal resolution of 147 s).

Pu Jiang et al.

Status: open (until 24 Dec 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Pu Jiang et al.

Data sets

Turbulence detection experiments Pu Jiang, Jinlong Yuan, Kenan Wu, Lu Wang, Haiyun Xia https://figshare.com/articles/dataset/Turbulence_detection_experiments/16607306

Pu Jiang et al.

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Short summary
To analyse the atmospheric turbulence in high resolution, we proposed a new method by combining the advantages of two remote sensing instruments. A contrastive experiment was conducted horizontally to verify the method. Based on the result, we obtained and analyzed the continuous Cn2 and other turbulence profiles with high temporal and spatial resolution simultaneously. It is significant for studying the complex and fast-changing atmospheric environment.