Detection of organized airflow in the atmospheric boundary layer and the free atmosphere using a 3D-scanning coherent Doppler lidar

Y. Fujiyoshi; K. Yamashita; C. Fujiwara

doi:10.1117/12.835943

28 August 2009 Detection of organized airflow in the atmospheric boundary layer and the free atmosphere using a 3D-scanning coherent Doppler lidar

Y. Fujiyoshi, K. Yamashita, C. Fujiwara

Author Affiliations +

Proceedings Volume 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging; 738204 (2009) https://doi.org/10.1117/12.835943
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

We will overview organized airflows, turbulent and laminar structures in the atmospheric boundary layer and the free atmosphere newly detected by a 3D-scanning coherent Doppler lidar system (3D-CDL). Study of clouds becomes important especially in recent years, since they play an essential role in global climate systems and the earth environment. The aerosol-cloud interaction is not enough to evaluate aerosol indirect effect. Air-motion is the key factor that connects aerosols and clouds especially in the atmospheric boundary layer. Using the 3D-CDL, we detected such various kinds of atmospheric phenomena as plume, streaks, invisible dust-devils, fog, fire-work, local front, downburst, wake of buildings, gravity waves, Kelvin-Helmholtz instability waves, sea-breeze fronts, fine-weather cumulus, low-level stratus, mid-level clouds, mammatus clouds and cirrus clouds etc. Some of these phenomena are firstly observed by the 3D-CDL. We simulated some phenomena by using a Large Eddy Simulation (LES) model and compared the simulated structures with those observed by the 3D-CDL.

Citation Download Citation

Y. Fujiyoshi, K. Yamashita, and C. Fujiwara "Detection of organized airflow in the atmospheric boundary layer and the free atmosphere using a 3D-scanning coherent Doppler lidar", Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 738204 (28 August 2009); https://doi.org/10.1117/12.835943

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