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

Author(s):  
Zhaoai Yan ◽  
Xiong Hu ◽  
Wenjie Guo ◽  
Shangyong Guo ◽  
Yongqiang Cheng ◽  
...  
2007 ◽  
Vol 46 (11) ◽  
pp. 1953 ◽  
Author(s):  
S. Kameyama ◽  
T. Ando ◽  
K. Asaka ◽  
Y. Hirano ◽  
S. Wadaka

2015 ◽  
Vol 53 (12) ◽  
pp. 6495-6506 ◽  
Author(s):  
Sameh Abdelazim ◽  
David Santoro ◽  
Mark F. Arend ◽  
Fred Moshary ◽  
Sam Ahmed

1989 ◽  
Author(s):  
Robert F. McCoy, Jr. ◽  
Madison J. Post ◽  
R. Michael Hardesty

2019 ◽  
Vol 11 (20) ◽  
pp. 2444 ◽  
Author(s):  
Alfredo Peña ◽  
Jakob Mann

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.


2014 ◽  
Vol 22 (S5) ◽  
pp. A1203 ◽  
Author(s):  
Xiankang Dou ◽  
Yuli Han ◽  
Dongsong Sun ◽  
Haiyun Xia ◽  
Zhifeng Shu ◽  
...  

2018 ◽  
Vol 412 ◽  
pp. 7-13
Author(s):  
Fahua Shen ◽  
Bangxin Wang ◽  
Wenjuan Shi ◽  
Peng Zhuang ◽  
Chengyun Zhu ◽  
...  

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