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

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 lidarsmore » 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.« less
 [1] ;  [2] ;  [3] ;  [4] ;  [2] ;  [2] ;  [5] ;  [3] ;  [6] ;  [4] ;  [7] ;  [3] ;  [3] ;  [4] ;  [8] ;  [9] ;  [9] ;  [9] ;  [4] ;  [10] more »;  [11] ;  [12] ;  [8] ;  [4] ;  [10] ;  [7] ;  [11] ;  [9] ;  [4] ;  [9] ;  [9] ;  [4] ;  [4] ;  [10] ;  [4] ;  [4] « less
  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)
Publication Date:
Report Number(s):
Journal ID: ISSN 0003-0007
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Bulletin of the American Meteorological Society
Additional Journal Information:
Journal Volume: 98; Journal Issue: 2; Journal ID: ISSN 0003-0007
American Meteorological Society
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)
Country of Publication:
United States
17 WIND ENERGY; remote sensing; wind energy; wind; thermodynamics; technology; atmospheric boundary layer
OSTI Identifier: