GLOW: the Goddard Lidar Observatory for Winds

Bruce M. Gentry; Huailin Chen; Steven X. Li

doi:10.1117/12.417062

13 February 2001 GLOW: the Goddard Lidar Observatory for Winds

Bruce M. Gentry, Huailin Chen, Steven X. Li

Proceedings Volume 4153, Lidar Remote Sensing for Industry and Environment Monitoring; (2001) https://doi.org/10.1117/12.417062
Event: Second International Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 2000, Sendai, Japan

Abstract

GLOW (Goddard Lidar Observatory for Winds) is a mobile Doppler lidar system which uses direct detection Doppler lidar techniques to measure wind profiles from the surface intO the lower stratosphere. The system is contained in a modified van to allow deployment in field operations. The lidar system uses a Nd:YAG laser transmitter to measure winds using either aerosol backscatter at 1064 nm or molecular backscatter at 355 nm. The receiver telescope is a 45 cm Dall-Kirkham which is fiber coupled to separate Doppler receivers, one optimized for the aerosol backscatter wind measurement and another optimized for the molecular backscatter wind measurement. The receivers are implementations of the 'double edge' technique and use high spectral resolution Fabry-Perot etalons to measure the Doppler shift. A 45 cm aperture azimuth-overelevation scanner is mounted on the roof of the van to allow full sky access and a variety of scanning options. GLOW is intended to be used as a deployable field system for studying atmospheric dynamics and transport and can also serve as a testbed to evaluate candidate technologies developed for use in future spaceborne systems. In addition, it can be used for calibration/validation activities following launch of spaceborne wind lidar systems. A description of the mobile system is presented along with the examples of lidar wind profiles obtained with the system.

Citation Download Citation

Bruce M. Gentry, Huailin Chen, and Steven X. Li "GLOW: the Goddard Lidar Observatory for Winds", Proc. SPIE 4153, Lidar Remote Sensing for Industry and Environment Monitoring, (13 February 2001); https://doi.org/10.1117/12.417062

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