skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Validating precision estimates in horizontal wind measurements from a Doppler lidar

Abstract

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.

Authors:
 [1];  [2];  [2];  [3];  [4]; ORCiD logo [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)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
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)
OSTI Identifier:
1353004
Report Number(s):
NREL/JA-5000-68401
Journal ID: ISSN 1867-8548
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Atmospheric Measurement Techniques (Online)
Additional Journal Information:
Journal Name: Atmospheric Measurement Techniques (Online); Journal Volume: 10; Journal Issue: 3; Journal ID: ISSN 1867-8548
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; 47 OTHER INSTRUMENTATION; doppler lidar; wind speed; direction measurement

Citation Formats

Newsom, Rob K., Brewer, W. Alan, Wilczak, James M., Wolfe, Daniel E., Oncley, Steven P., and Lundquist, Julie K. Validating precision estimates in horizontal wind measurements from a Doppler lidar. United States: N. p., 2017. Web. doi:10.5194/amt-10-1229-2017.
Newsom, Rob K., Brewer, W. Alan, Wilczak, James M., Wolfe, Daniel E., Oncley, Steven P., & Lundquist, Julie K. Validating precision estimates in horizontal wind measurements from a Doppler lidar. United States. doi:10.5194/amt-10-1229-2017.
Newsom, Rob K., Brewer, W. Alan, Wilczak, James M., Wolfe, Daniel E., Oncley, Steven P., and Lundquist, Julie K. Thu . "Validating precision estimates in horizontal wind measurements from a Doppler lidar". United States. doi:10.5194/amt-10-1229-2017. https://www.osti.gov/servlets/purl/1353004.
@article{osti_1353004,
title = {Validating precision estimates in horizontal wind measurements from a Doppler lidar},
author = {Newsom, Rob K. and Brewer, W. Alan and Wilczak, James M. and Wolfe, Daniel E. and Oncley, Steven P. and Lundquist, Julie K.},
abstractNote = {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.},
doi = {10.5194/amt-10-1229-2017},
journal = {Atmospheric Measurement Techniques (Online)},
number = 3,
volume = 10,
place = {United States},
year = {2017},
month = {3}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 2 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Doppler Lidar–Based Wind-Profile Measurement System for Offshore Wind-Energy and Other Marine Boundary Layer Applications
journal, February 2012

  • Pichugina, Yelena L.; Banta, Robert M.; Brewer, W. Alan
  • Journal of Applied Meteorology and Climatology, Vol. 51, Issue 2
  • DOI: 10.1175/JAMC-D-11-040.1

Sonic Anemometer Tilt Correction Algorithms
journal, April 2001

  • Wilczak, James M.; Oncley, Steven P.; Stage, Steven A.
  • Boundary-Layer Meteorology, Vol. 99, Issue 1
  • DOI: 10.1023/A:1018966204465

Lidar profilers in the context of wind energy-a verification procedure for traceable measurements: Lidar profilers in the context of wind energy
journal, December 2011

  • Gottschall, J.; Courtney, M. S.; Wagner, R.
  • Wind Energy, Vol. 15, Issue 1
  • DOI: 10.1002/we.518

Wind Measurements from Arc Scans with Doppler Wind Lidar
journal, November 2015

  • Wang, H.; Barthelmie, R. J.; Clifton, A.
  • Journal of Atmospheric and Oceanic Technology, Vol. 32, Issue 11
  • DOI: 10.1175/JTECH-D-14-00059.1

Estimating Spatial Velocity Statistics with Coherent Doppler Lidar
journal, March 2002


Measuring Second- through Fourth-Order Moments in Noisy Data
journal, October 2000


Offshore wind profiling using light detection and ranging measurements
journal, March 2009

  • Peña, Alfredo; Hasager, Charlotte Bay; Gryning, Sven-Erik
  • Wind Energy, Vol. 12, Issue 2
  • DOI: 10.1002/we.283

An assessment of a three-beam Doppler lidar wind profiling method for use in urban areas
journal, August 2013

  • Lane, S. E.; Barlow, J. F.; Wood, C. R.
  • Journal of Wind Engineering and Industrial Aerodynamics, Vol. 119
  • DOI: 10.1016/j.jweia.2013.05.010

The Arm Climate Research Facility: A Review of Structure and Capabilities
journal, March 2013

  • Mather, James H.; Voyles, Jimmy W.
  • Bulletin of the American Meteorological Society, Vol. 94, Issue 3
  • DOI: 10.1175/BAMS-D-11-00218.1

The Boulder Atmospheric Observatory
journal, May 1983


Turbine-scale wind field measurements using dual-Doppler lidar: Turbine-scale wind field measurements using dual-Doppler lidar
journal, December 2013

  • Newsom, Rob K.; Berg, Larry K.; Shaw, William J.
  • Wind Energy, Vol. 18, Issue 2
  • DOI: 10.1002/we.1691

An Analysis of the Performance of the UFAM Pulsed Doppler Lidar for Observing the Boundary Layer
journal, February 2009

  • Pearson, Guy; Davies, Fay; Collier, Chris
  • Journal of Atmospheric and Oceanic Technology, Vol. 26, Issue 2
  • DOI: 10.1175/2008JTECHA1128.1

Retrieval of Microscale Wind and Temperature Fields from Single- and Dual-Doppler Lidar Data
journal, September 2005

  • Newsom, Rob K.; Ligon, David; Calhoun, Ron
  • Journal of Applied Meteorology, Vol. 44, Issue 9, p. 1324-1345
  • DOI: 10.1175/JAM2280.1

Identification of tower-wake distortions using sonic anemometer and lidar measurements
journal, January 2017

  • McCaffrey, Katherine; Quelet, Paul T.; Choukulkar, Aditya
  • Atmospheric Measurement Techniques, Vol. 10, Issue 2
  • DOI: 10.5194/amt-10-393-2017

Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics
journal, January 2015

  • Lundquist, J. K.; Churchfield, M. J.; Lee, S.
  • Atmospheric Measurement Techniques, Vol. 8, Issue 2
  • DOI: 10.5194/amt-8-907-2015

The Determination of Kinematic Properties of a Wind Field Using Doppler Radar
journal, February 1968