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

Floors, Rogier; Peña, Alfredo; Lea, Guillaume; Vasiljević, Nikola; Simon, Elliot; Courtney, Michael

doi:10.3390/rs8110884

Cited by 36 publications

(55 citation statements)

References 16 publications

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“…The period over the winter of 2015/2016 was particular windy at this location [29] and the stratification of the atmosphere was either neutral or stable for the presented cases. For 12 of the 15 cases wind speeds at 10m height range between 4 ms −1 and 10 ms −1 and no case exceeding 16 ms −1 is present in the data.…”

Section: Discussionmentioning

confidence: 98%

“…Several LiDARs and other instruments were deployed to give detailed spatial and temporal information of the wind conditions. A detailed description of the experiment can be found in Floors and Peña [29]. Figure 1 shows the experimental setup on the Danish West Coast.…”

Section: Methodsmentioning

confidence: 99%

“…Comparisons are made using scanning LiDARs-a ground based remote sensing device for wind speed measurements that has recently become available. During the measurement campaign "Reducing uncertainty of near-shore wind resource estimates using onshore LiDAR" (RUNE), offshore wind speeds were measured from the shoreline up to 5 km offshore [29]. This unique LiDAR dataset offers an opportunity to examine the validity and accuracy of SAR wind retrievals in the coastal zone.…”

Section: Referencementioning

confidence: 99%

“…The scanning LiDAR at position SC performs sector scans over a 60 • arc at three elevations with three inclinations (see Figure 4 in Floors and Peña [29]). The wind speed is reconstructed at the dotted line in Figure 1.…”

Section: Scanning Lidarsmentioning

confidence: 99%

“…The RUNE experiment was designed to study the development of the coastal marine boundary layer and scan patterns were optimized for that purpose. The LiDARs were set up to perform two types of scans; one LiDAR performs sector scans, two LiDARs perform coordinated dual Doppler scans and a detailed description of the measurements is available [29,36]. Averages of 10 min, are used for this study and the LiDAR measurements are treated as point measurements at the reconstruction points.…”

Section: Scanning Lidarsmentioning

confidence: 99%

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Validation of Sentinel-1A SAR Coastal Wind Speeds Against Scanning LiDAR

Ahsbahs¹,

Badger²,

Karagali³

et al. 2017

Remote Sensing

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High-accuracy wind data for coastal regions is needed today, e.g., for the assessment of wind resources. Synthetic Aperture Radar (SAR) is the only satellite borne sensor that has enough resolution to resolve wind speeds closer than 10 km to shore but the Geophysical Model Functions (GMF) used for SAR wind retrieval are not fully validated here. Ground based scanning light detection and ranging (LiDAR) offer high horizontal resolution wind velocity measurements with high accuracy, also in the coastal zone. This study, for the first time, examines accuracies of SAR wind retrievals at 10 m height with respect to the distance to shore by validation against scanning LiDARs. Comparison of 15 Sentinel-1A wind retrievals using the GMF called C-band model 5.N (CMOD5.N) versus LiDARs show good agreement. It is found, when nondimenionalising with a reference point, that wind speed reductions are between 4% and 8% from 3 km to 1 km from shore. Findings indicate that SAR wind retrievals give reliable wind speed measurements as close as 1 km to the shore. Comparisons of SAR winds versus two different LiDAR configurations yield root mean square error (RMSE) of 1.31 ms −1 and 1.42 ms −1 for spatially averaged wind speeds.

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Section: Discussionmentioning

confidence: 98%

Section: Methodsmentioning

confidence: 99%

Section: Referencementioning

confidence: 99%

Section: Scanning Lidarsmentioning

confidence: 99%

Section: Scanning Lidarsmentioning

confidence: 99%

See 3 more Smart Citations

Validation of Sentinel-1A SAR Coastal Wind Speeds Against Scanning LiDAR

Ahsbahs¹,

Badger²,

Karagali³

et al. 2017

Remote Sensing

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Evaluating Mesoscale Simulations of the Coastal Flow Using Lidar Measurements

2018

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The atmospheric flow in the coastal zone is investigated using lidar and mast measurements and model simulations. Novel dual‐Doppler scanning lidars were used to investigate the flow over a 7 km transect across the coast, and vertically profiling lidars were used to study the vertical wind profile at offshore and onshore positions. The Weather, Research and Forecasting model is set up in 12 different configurations using 2 planetary boundary layer schemes, 3 horizontal grid spacings and varied sources of land use, and initial and lower boundary conditions. All model simulations describe the observed mean wind profile well at different onshore and offshore locations from the surface up to 500 m. The simulated mean horizontal wind speed gradient across the shoreline is close to that observed, although all simulations show wind speeds that are slightly higher than those observed. Inland at the lowest observed height, the model has the largest deviations compared to the observations. Taylor diagrams show that using ERA‐Interim data as boundary conditions improves the model skill scores. Simulations with 0.5 and 1 km horizontal grid spacing show poorer model performance compared to those with a 2 km spacing, partially because smaller resolved wave lengths degrade standard error metrics. Modeled and observed velocity spectra were compared and showed that simulations with the finest horizontal grid spacing resolved more high‐frequency atmospheric motion.

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Validation of near‐shore wind measurements using a dual scanning light detection and ranging system

et al. 2022

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This paper reports results from a 2-month validation campaign of near-shore wind measurements taken by a dual scanning light detection and ranging (LiDAR) system at a coastal site in Japan. A meteorological mast and a vertical profiling LiDAR device were deployed at an offshore research station approximately 1.5 km from the coast.Offshore winds at heights of 66, 120, and 180 m above sea level were observed by the scanning LiDAR system. Comparisons with a sonic anemometer found that the radial velocities had a coefficient of determination of more than 0.99 without unreasonable bias. The accuracy of 10-min mean wind speeds and directions was then evaluated. The 10-min values from the dual scanning LiDAR system were accurate enough to satisfy the acceptance criteria used for floating LiDAR systems. In addition, the vertical velocity and direction profiles from the dual scanning LiDAR system were compared with those from a vertical profiling LiDAR device. The performance of turbulence intensity (TI) measurements was also evaluated. Although the TIs from the dual scanning LiDAR system were slightly lower than those from the sonic anemometer, they were equivalent to those from the cup anemometers. This investigation concluded that the near-shore wind measurements using the dual scanning LiDAR system are beneficial for reducing near-shore wind measurement costs, because the system can measure not only 10-min wind speed and direction, but also parameters associated with assessing site-specific conditions without installing offshore meteorological masts.

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

Cited by 36 publications

References 16 publications

Validation of Sentinel-1A SAR Coastal Wind Speeds Against Scanning LiDAR

Validation of Sentinel-1A SAR Coastal Wind Speeds Against Scanning LiDAR

Evaluating Mesoscale Simulations of the Coastal Flow Using Lidar Measurements

Validation of near‐shore wind measurements using a dual scanning light detection and ranging system

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