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Validating precision estimates in horizontal wind measurements from a Doppler lidar

Journal Article · · Atmospheric Measurement Techniques (Online)
 [1];  [2];  [2];  [3];  [4];  [5]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States). Earth System Research Lab.
  3. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States). Earth System Research Lab.; Cooperative Institute for Research in Environmental Sciences, Boulder, CO (United States)
  4. National Center for Atmospheric Research, Boulder, CO (United States)
  5. Univ. of Colorado, Boulder, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
+ Show Author Affiliations

Results from a recent field campaign are used to assess the accuracy of wind speed and direction precision estimates produced by a Doppler lidar wind retrieval algorithm. The algorithm, which is based on the traditional velocity-azimuth-display (VAD) technique, estimates the wind speed and direction measurement precision using standard error propagation techniques, assuming the input data (i.e., radial velocities) to be contaminated by random, zero-mean, errors. For this study, the lidar was configured to execute an 8-beam plan-position-indicator (PPI) scan once every 12 min during the 6-week deployment period. Several wind retrieval trials were conducted using different schemes for estimating the precision in the radial velocity measurements. Here, the resulting wind speed and direction precision estimates were compared to differences in wind speed and direction between the VAD algorithm and sonic anemometer measurements taken on a nearby 300 m tower.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1353004
Report Number(s):
NREL/JA--5000-68401
Journal Information:
Atmospheric Measurement Techniques (Online), Journal Name: Atmospheric Measurement Techniques (Online) Journal Issue: 3 Vol. 10; ISSN 1867-8548
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (8)

Response of the Land‐Atmosphere System Over North‐Central Oklahoma During the 2017 Eclipse journal February 2018
LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes journal December 2019
Internet of Things for Environmental Sustainability and Climate Change book December 2019
Contrasting Characteristics and Evolution of Southerly Low-Level Jets During Different Boundary-Layer Regimes journal October 2019
Atmospheric Boundary Layer Classification With Doppler Lidar journal August 2018
A Multi-Year Evaluation of Doppler Lidar Wind-Profile Observations in the Arctic journal January 2020
Estimation of turbulence dissipation rate and its variability from sonic anemometer and wind Doppler lidar during the XPIA field campaign journal January 2018
A novel post-processing algorithm for Halo Doppler lidars journal January 2019

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Related Subjects

17 WIND ENERGY
47 OTHER INSTRUMENTATION
direction measurement
doppler lidar
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