A Compact Doppler Lidar System Using Commercial Off-The-Shelf Components

1989 ◽  
Author(s):  
Robert F. McCoy, Jr. ◽  
Madison J. Post ◽  
R. Michael Hardesty
Keyword(s):  
Doppler Lidar ◽  
Lidar System ◽  
Commercial Off The Shelf

Development of a mobile Doppler lidar system for wind and temperature measurements at 30–70 km

2017 ◽  
Vol 188 ◽  
pp. 52-59 ◽  
Author(s):  
Zhaoai Yan ◽  
Xiong Hu ◽  
Wenjie Guo ◽  
Shangyong Guo ◽  
Yongqiang Cheng ◽  
...  
Keyword(s):  
Temperature Measurements ◽  
Doppler Lidar ◽  
Lidar System

Compact all-fiber pulsed coherent Doppler lidar system for wind sensing

2007 ◽  
Vol 46 (11) ◽  
pp. 1953 ◽  
Author(s):  
S. Kameyama ◽  
T. Ando ◽  
K. Asaka ◽  
Y. Hirano ◽  
S. Wadaka
Keyword(s):  
Doppler Lidar ◽  
Lidar System ◽  
Coherent Doppler Lidar

Development and Operational Analysis of an All-Fiber Coherent Doppler Lidar System for Wind Sensing and Aerosol Profiling

2015 ◽  
Vol 53 (12) ◽  
pp. 6495-6506 ◽  
Author(s):  
Sameh Abdelazim ◽  
David Santoro ◽  
Mark F. Arend ◽  
Fred Moshary ◽  
Sam Ahmed
Keyword(s):  
Doppler Lidar ◽  
Lidar System ◽  
Operational Analysis ◽  
Coherent Doppler Lidar

scholarly journals Doppler lidar system design via interdisciplinary design concept at NASA Langley Research Center: Part I

2014 ◽  
Author(s):  
Charles M. Boyer ◽  
Trevor P. Jackson ◽  
Jeffrey Y. Beyon ◽  
Larry B. Petway
Keyword(s):  
System Design ◽  
Design Concept ◽  
Research Center ◽  
Doppler Lidar ◽  
Lidar System ◽  
Interdisciplinary Design ◽  
Langley Research Center

scholarly journals Turbulence Measurements with Dual-Doppler Scanning Lidars

2019 ◽  
Vol 11 (20) ◽  
pp. 2444 ◽  
Author(s):  
Alfredo Peña ◽  
Jakob Mann
Keyword(s):  
Radial Velocity ◽  
Velocity Component ◽  
Sonic Anemometer ◽  
Velocity Spectrum ◽  
Doppler Lidar ◽  
Lidar System ◽  
Point Mapping ◽  
Sonic Anemometers ◽  
Scanning Geometry ◽  
First Time

Velocity-component variances can be directly computed from lidar measurements using information of the second-order statistics within the lidar probe volume. Specifically, by using the Doppler radial velocity spectrum, one can estimate the unfiltered radial velocity variance. This information is not always available in current lidar campaigns. The velocity-component variances can also be indirectly computed from the reconstructed velocities but they are biased compared to those computed from, e.g., sonic anemometers. Here we show, for the first time, how to estimate such biases for a multi-lidar system and we demonstrate, also for the first time, their dependence on the turbulence characteristics and the lidar beam scanning geometry relative to the wind direction. For a dual-Doppler lidar system, we also show that the indirect method has an advantage compared to the direct one for commonly-used scanning configurations due to the singularity of the system. We demonstrate that our estimates of the radial velocity and velocity-component biases are accurate by analysis of measurements performed over a flat site using a dual-Doppler lidar system, where both lidars stared over a volume close to a sonic anemometer at a height of 100 m. We also show that mapping these biases over a spatial domain helps to plan meteorological campaigns, where multi-lidar systems can potentially be used. Particularly, such maps help the multi-point mapping of wind resources and conditions, which improve the tools needed for wind turbine siting.

Design and performance simulation of 532 nm Rayleigh–Mie Doppler lidar system for 5–50 km wind measurement

2018 ◽  
Vol 412 ◽  
pp. 7-13
Author(s):  
Fahua Shen ◽  
Bangxin Wang ◽  
Wenjuan Shi ◽  
Peng Zhuang ◽  
Chengyun Zhu ◽  
...  
Keyword(s):  
Doppler Lidar ◽  
Lidar System ◽  
Performance Simulation ◽  
Wind Measurement ◽  
And Performance ◽  
532 Nm
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