Turbine-scale wind field measurements using dual-Doppler lidar

Wind Energy ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 219-235 ◽  
Author(s):  
Rob K. Newsom ◽  
Larry K. Berg ◽  
William J. Shaw ◽  
Marc L. Fischer
Keyword(s):  
Wind Field ◽  
Field Measurements ◽  
Doppler Lidar

Airborne Doppler Lidar Wind Field Measurements

1984 ◽  
Vol 65 (4) ◽  
pp. 348-359 ◽  
Author(s):  
J. Bilbro ◽  
G. Fichtl ◽  
D. Fitzjarrald ◽  
M. Krause ◽  
R. Lee
Keyword(s):  
Wind Field ◽  
Field Measurements ◽  
Doppler Lidar

Wind-Field Vector Retrieval Method at Low Signal-to-Noise Ratio for Coherent Doppler Lidar

2018 ◽  
Vol 45 (11) ◽  
pp. 1110005
Author(s):  
赵萌 Zhao Meng ◽  
郭磐 Guo Pan ◽  
芮训豹 Rui Xunbao ◽  
陈思颖 Chen Siying ◽  
张寅超 Zhang Yinchao ◽  
...  
Keyword(s):  
Wind Field ◽  
Signal To Noise Ratio ◽  
Field Vector ◽  
Doppler Lidar ◽  
Signal To Noise ◽  
Retrieval Method ◽  
Coherent Doppler Lidar ◽  
Noise Ratio ◽  
Vector Retrieval

Analysis of wind field measurement results of Doppler lidar

2012 ◽  
Vol 24 (9) ◽  
pp. 2037-2042
Author(s):  
唐磊 Tang Lei ◽  
董吉辉 Dong Jihui ◽  
吴海滨 Wu Haibin
Keyword(s):  
Field Measurement ◽  
Wind Field ◽  
Doppler Lidar ◽  
Measurement Results

Spatio-temporal modeling of the wind field over an urban lake subject to wind sheltering

2022 ◽  
Keyword(s):  
Wind Direction ◽  
Wind Field ◽  
Field Measurements ◽  
Structure Alignment ◽  
Urban Lake ◽  
Quality Model ◽  
Wind Model ◽  
Cfd Modelling ◽  
Prevailing Wind Direction ◽  
Spatio Temporal

Abstract The wind field over an urban lake may exhibit considerable variability due to wind shielding effects from surrounding structures. Field measurements at an urban reservoir in Singapore were augmented by computational fluid dynamics (CFD) model results to develop a wind model over the reservoir surface via a data assimilation approach. The field measurements identified, depending on structure alignment with the prevailing wind direction, wind shielding that impacted wind direction and velocity over the reservoir surface. The wind model integrated the temporal response of the measurements and spatial distribution produced by the CFD modelling. The wind model was used to predict the spatio-temporal pattern of the wind field over the reservoir surface for a full year. The modeling results showed good agreement with measured wind data at three measurement locations on the reservoir surface. The wind model has been incorporated with a hydrodynamics and water quality model to provide the spatio-temporal wind forcing over the reservoir surface.

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