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Assessing state-of-the-art capabilities for probing the atmospheric boundary layer: The XPIA field campaign

Journal Article · · Bulletin of the American Meteorological Society
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  1. Univ. of Colorado, Boulder, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. National Oceanic and Atmospheric Administration/Earth System Research Lab., Boulder, CO (United States)
  3. Univ. of Texas, Dallas, TX (United States)
  4. Univ. of Colorado, Boulder, CO (United States)
  5. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  6. Univ. of Maryland Baltimore County (UMBC), Baltimore, MD (United States)
  7. Texas Tech Univ., Lubbock, TX (United States)
  8. National Center for Atmospheric Research, Boulder, CO (United States)
  9. Univ. of Maryland, Baltimore County, Baltimore, MD (United States)
  10. National Oceanic and Atmospheric Administration/Earth System Research Laboratory, Boulder, CO (United States)
  11. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  12. Oregon State Univ., Corvallis, OR (United States)
To assess current capabilities for measuring flow within the atmospheric boundary layer, including within wind farms, the U.S. Dept. of Energy sponsored the eXperimental Planetary boundary layer Instrumentation Assessment (XPIA) campaign at the Boulder Atmospheric Observatory (BAO) in spring 2015. Herein, we summarize the XPIA field experiment, highlight novel measurement approaches, and quantify uncertainties associated with these measurement methods. Line-of-sight velocities measured by scanning lidars and radars exhibit close agreement with tower measurements, despite differences in measurement volumes. Virtual towers of wind measurements, from multiple lidars or radars, also agree well with tower and profiling lidar measurements. Estimates of winds over volumes from scanning lidars and radars are in close agreement, enabling assessment of spatial variability. Strengths of the radar systems used here include high scan rates, large domain coverage, and availability during most precipitation events, but they struggle at times to provide data during periods with limited atmospheric scatterers. In contrast, for the deployment geometry tested here, the lidars have slower scan rates and less range, but provide more data during non-precipitating atmospheric conditions. Microwave radiometers provide temperature profiles with approximately the same uncertainty as Radio-Acoustic Sounding Systems (RASS). Using a motion platform, we assess motion-compensation algorithms for lidars to be mounted on offshore platforms. As a result, we highlight cases for validation of mesoscale or large-eddy simulations, providing information on accessing the archived dataset. We conclude that modern remote sensing systems provide a generational improvement in observational capabilities, enabling resolution of fine-scale processes critical to understanding inhomogeneous boundary-layer flows.
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)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1347205
Alternate ID(s):
OSTI ID: 1347869
Report Number(s):
NREL/JA--5000-64812
Journal Information:
Bulletin of the American Meteorological Society, Journal Name: Bulletin of the American Meteorological Society Journal Issue: 2 Vol. 98; ISSN 0003-0007
Publisher:
American Meteorological SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes journal December 2019
Thermal Structure of a Coastal–Urban Boundary Layer journal May 2018
An Assessment of Eddy-Covariance-Based Surface Fluxes Above an Evaporating Heated Surface Under Fair-Weather Daytime Conditions journal December 2018
Toward Low‐Level Turbulence Forecasting at Eddy‐Resolving Scales journal August 2018
A New Planetary Boundary Layer Scheme Based on LES: Application to the XPIA Campaign journal August 2019
Powering the 21st century by wind energy—Options, facts, figures journal September 2019
The VERTEX field campaign: observations of near-ground effects of wind turbine wakes journal January 2019
Aerosol and boundary-layer interactions and impact on air quality journal September 2017
The Hydrometeorology Testbed–West Legacy Observing Network: Supporting Research to Applications for Atmospheric Rivers and Beyond journal September 2019
Sodar Observation of the ABL Structure and Waves over the Black Sea Offshore Site journal December 2019
On the Use of Rotary-Wing Aircraft to Sample Near-Surface Thermodynamic Fields: Results from Recent Field Campaigns journal December 2018
Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment journal January 2017
Validating precision estimates in horizontal wind measurements from a Doppler lidar journal January 2017
Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign journal January 2017
Improved observations of turbulence dissipation rates from wind profiling radars journal January 2017
Evaluation of turbulence measurement techniques from a single Doppler lidar journal January 2017
Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments journal January 2017
Identification of tower-wake distortions using sonic anemometer and lidar measurements journal January 2017
Estimation of turbulence dissipation rate and its variability from sonic anemometer and wind Doppler lidar during the XPIA field campaign journal January 2018
Considerations for temperature sensor placement on rotary-wing unmanned aircraft systems journal January 2018
Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign journal January 2019
Wind sensing with drone-mounted wind lidars: proof of concept journal January 2020
Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment posted_content October 2016
Initial Results From a Field Campaign of Wake Steering Applied at a Commercial Wind Farm: Part 1 posted_content February 2019
Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1 journal January 2019

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