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Title: Errors in radial velocity variance from Doppler wind lidar

Journal Article · · Atmospheric Measurement Techniques (Online)
ORCiD logo [1]; ORCiD logo [2];  [2]; ORCiD logo [3]
  1. Cornell Univ., Ithaca, NY (United States). Sibley School of Mechanical and Aerospace Engineering; Cornell Univ, Sibley Sch Mech & Aerosp Engn, Ithaca, NY 14853 USA
  2. Cornell Univ., Ithaca, NY (United States). Sibley School of Mechanical and Aerospace Engineering
  3. Cornell Univ., Ithaca, NY (United States). Dept. of Earth and Atmospheric Sciences

A high-fidelity lidar turbulence measurement technique relies on accurate estimates of radial velocity variance that are subject to both systematic and random errors determined by the autocorrelation function of radial velocity, the sampling rate, and the sampling duration. Our paper quantifies the effect of the volumetric averaging in lidar radial velocity measurements on the autocorrelation function and the dependence of the systematic and random errors on the sampling duration, using both statistically simulated and observed data. For current-generation scanning lidars and sampling durations of about 30 min and longer, during which the stationarity assumption is valid for atmospheric flows, the systematic error is negligible but the random error exceeds about 10%.

Research Organization:
Cornell Univ., Ithaca, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
EE0005379
OSTI ID:
1363864
Journal Information:
Atmospheric Measurement Techniques (Online), Journal Name: Atmospheric Measurement Techniques (Online) Journal Issue: 8 Vol. 9; ISSN 1867-8548
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English

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The spectral signature of wind turbine wake meandering: A wind tunnel and field-scale study: Wake meandering spectral signature journal April 2018
Estimation of turbulence dissipation rate and its variability from sonic anemometer and wind Doppler lidar during the XPIA field campaign journal January 2018
Wake Management in Wind Farms: An Adaptive Control Approach journal April 2019