Addressing Spatial Variability of Surface-Layer Wind with Long-Range WindScanners

Berg, Jacob; Vasiljević, Nikola; Kelly, Mark; Lea, Guillaume; Courtney, Michael

doi:10.1175/jtech-d-14-00123.1

Cited by 31 publications

(40 citation statements)

References 24 publications

(20 reference statements)

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“…The maximum range of LRWSs is about 8 km, which has been typically observed in offshore conditions (Floors et al, 2016). Due to its characteristics, the long-range WindScanner system is primarily intended for measurements of mean flow fields within a large area of the atmosphere (e.g., Berg et al, 2015).…”

Section: Windscanner Systemsmentioning

confidence: 99%

“…The elevation angle at which the beams were directed was in a range from about −12 to 23 • . Even though we had three independent LOS measurement along the virtual mast due to low elevation angles only the horizontal components of the wind vector (i.e., u and v) were considered in the data analysis (see explanations in Berg et al, 2015;Debnath et al, 2017). The long-range WindScanner system's scans were run in a batch mode, where each strategy was executed over a 10 min period.…”

Section: 7mentioning

confidence: 99%

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Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

et al. 2017

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Abstract. The long-range and short-range WindScanner systems (LRWS and SRWS), multi-Doppler lidar instruments, when combined together can map the turbulent flow around a wind turbine and at the same time measure mean flow conditions over an entire region such as a wind farm. As the WindScanner technology is novel, performing field campaigns with the WindScanner systems requires a methodology that will maximize the benefits of conducting WindScannerbased experiments. Such a methodology, made up of 10 steps, is presented and discussed through its application in a pilot experiment that took place in a complex and forested site in Portugal, where for the first time the two WindScanner systems operated simultaneously. Overall, this resulted in a detailed site selection criteria, a well-thought-out experiment layout, novel flow mapping methods and high-quality flow observations, all of which are presented in this paper.

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Section: Windscanner Systemsmentioning

confidence: 99%

Section: 7mentioning

confidence: 99%

Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

et al. 2017

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“…Uncertainties in 3-D wind-field retrievals using triple-Doppler lidar techniques have also been investigated. For example, Mann et al (2009), Fuertes et al (2014 and Newman et al (2016) present a detailed analysis of 3-D winds and turbulence measurements made using staring triple-Doppler measurements, while Berg et al (2015) present validation of 3-D wind measurements made through continuous scanning.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign

et al. 2017

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Abstract. Accurate three-dimensional information of wind flow fields can be an important tool in not only visualizing complex flow but also understanding the underlying physical processes and improving flow modeling. However, a thorough analysis of the measurement uncertainties is required to properly interpret results. The XPIA (eXperimental Planetary boundary layer Instrumentation Assessment) field campaign conducted at the Boulder Atmospheric Observatory (BAO) in Erie, CO, from 2 March to 31 May 2015 brought together a large suite of in situ and remote sensing measurement platforms to evaluate complex flow measurement strategies.In this paper, measurement uncertainties for different single and multi-Doppler strategies using simple scan geometries (conical, vertical plane and staring) are investigated. The tradeoffs (such as time-space resolution vs. spatial coverage) among the different measurement techniques are evaluated using co-located measurements made near the BAO tower. Sensitivity of the single-/multi-Doppler measurement uncertainties to averaging period are investigated using the sonic anemometers installed on the BAO tower as the standard reference. Finally, the radiometer measurements are used to partition the measurement periods as a function of atmospheric stability to determine their effect on measurement uncertainty.It was found that with an increase in spatial coverage and measurement complexity, the uncertainty in the wind measurement also increased. For multi-Doppler techniques, the increase in uncertainty for temporally uncoordinated measurements is possibly due to requiring additional assumptions of stationarity along with horizontal homogeneity and less representative line-of-sight velocity statistics. It was also found that wind speed measurement uncertainty was lower during stable conditions compared to unstable conditions.

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“…One of these scanning lidars is the long-range WindScanner; it can be used to map the line-of-sight (LOS) wind velocities over a predetermined scanning pattern [11][12][13] and, by assuming certain flow properties in the scanned volume, the wind speed components can be estimated. Three spatially-separated WindScanners can be synchronized and the flow field estimated without making any assumptions, while with two WindScanners the horizontal wind vector can be estimated by assuming that the vertical component is zero.…”

Section: Introductionmentioning

confidence: 99%

The RUNE Experiment—A Database of Remote-Sensing Observations of Near-Shore Winds

et al. 2016

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Abstract:We present a comprehensive database of near-shore wind observations that were carried out during the experimental campaign of the RUNE project. RUNE aims at reducing the uncertainty of the near-shore wind resource estimates from model outputs by using lidar, ocean, and satellite observations. Here, we concentrate on describing the lidar measurements. The campaign was conducted from November 2015 to February 2016 on the west coast of Denmark and comprises measurements from eight lidars, an ocean buoy and three types of satellites. The wind speed was estimated based on measurements from a scanning lidar performing PPIs, two scanning lidars performing dual synchronized scans, and five vertical profiling lidars, of which one was operating offshore on a floating platform. The availability of measurements is highest for the profiling lidars, followed by the lidar performing PPIs, those performing the dual setup, and the lidar buoy. Analysis of the lidar measurements reveals good agreement between the estimated 10-min wind speeds, although the instruments used different scanning strategies and measured different volumes in the atmosphere. The campaign is characterized by strong westerlies with occasional storms.

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Addressing Spatial Variability of Surface-Layer Wind with Long-Range WindScanners

Cited by 31 publications

References 24 publications

Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign

The RUNE Experiment—A Database of Remote-Sensing Observations of Near-Shore Winds

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