Erratum: Pauscher, L., et al. An Inter-Comparison Study of Multi- and DBS Lidar Measurements in Complex Terrain. Remote Sens. 2016, 8, 782

Pauscher, Lukas; Vasiljević, Nikola; Callies, Doron; Lea, Guillaume; Mann, Jakob; Klaas, Tobias; Hieronimus, Julian; Gottschall, Julia; Schwesig, Annedore; Kühn, Martin; Courtney, Michael

doi:10.3390/rs9070667

Cited by 2 publications

(1 citation statement)

References 1 publication

(2 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Along the lines of obtaining the best possible data from wind lidar, a methodology for field calibration of nacelle-based lidar was presented by Borraccino et al [11] and a comparison of lidar data observed using three scanning lidars directed to one point versus a profiling lidar installed in complex terrain was presented by Pauscher et al [12,13]. The latter result is important for site assessment in complex terrain.…”

Section: Introductionmentioning

confidence: 99%

Editorial for the Special Issue “Remote Sensing of Atmospheric Conditions for Wind Energy Applications”

Hasager

Sjöholm

2019

Remote Sensing

View full text Add to dashboard Cite

This Special Issue hosts papers on aspects of remote sensing for atmospheric conditions for wind energy applications. The wind lidar technology is presented from a theoretical view on the coherent focused Doppler lidar principles. Furthermore, wind lidar for applied use for wind turbine control, wind farm wake, and gust characterizations are presented, as well as methods to reduce uncertainty when using lidar in complex terrain. Wind lidar observations are used to validate numerical model results. Wind Doppler lidar mounted on aircraft used for observing winds in hurricane conditions and Doppler radar on the ground used for very short-term wind forecasting are presented. For the offshore environment, floating lidar data processing is presented as well as an experiment with wind-profiling lidar on a ferry for model validation. Assessments of wind resources in the coastal zone using wind-profiling lidar and global wind maps using satellite data are presented.

show abstract

Section: Introductionmentioning

confidence: 99%

Editorial for the Special Issue “Remote Sensing of Atmospheric Conditions for Wind Energy Applications”

Hasager

Sjöholm

2019

Remote Sensing

View full text Add to dashboard Cite

show abstract

Scan strategies for wind profiling with Doppler lidar – an large-eddy simulation (LES)-based evaluation

2022

View full text Add to dashboard Cite

Abstract. Doppler-lidar scan techniques for wind profiling rely on the assumption of a horizontally homogeneous wind field and stationarity for the duration of the scan. As this condition is mostly violated in reality, detailed knowledge of the resulting measurement error is required. The objective of this study is to quantify and compare the expected error associated with Doppler-lidar wind profiling for different scan strategies and meteorological conditions by performing virtual Doppler-lidar measurements implemented in a large-eddy simulation (LES) model. Various factors influencing the lidar retrieval error are analyzed through comparison of the wind measured by the virtual lidar with the “true” value generated by the LES. These factors include averaging interval length, zenith angle configuration, scan technique and instrument orientation (cardinal direction). For the first time, ensemble simulations are used to determine the statistically expected uncertainty of the lidar error. The analysis reveals a root-mean-square deviation (RMSD) of less than 1 m s−1 for 10 min averages of wind speed measurements in a moderately convective boundary layer, while RMSD exceeds 2 m s−1 in strongly convective conditions. Unlike instrument orientation with respect to the main flow and scanning scheme, the zenith angle configuration proved to have significant effect on the retrieval error. Horizontal wind speed error is reduced when a larger zenith angle configuration is used but is increased for measurements of vertical wind. Furthermore, we find that extending the averaging interval length of lidar measurements reduces the error. In addition, a longer duration of a full scan cycle and hence a smaller number of scans per averaging interval increases the error. Results suggest that the scan strategy has a measurable impact on the lidar retrieval error and that instrument configuration should be chosen depending on the quantity of interest and the flow conditions in which the measurement is performed.

show abstract

Erratum: Pauscher, L., et al. An Inter-Comparison Study of Multi- and DBS Lidar Measurements in Complex Terrain. Remote Sens. 2016, 8, 782

Abstract: The authors would like to correct the following errors in [1]. [...]

Cited by 2 publications

References 1 publication

Editorial for the Special Issue “Remote Sensing of Atmospheric Conditions for Wind Energy Applications”

Editorial for the Special Issue “Remote Sensing of Atmospheric Conditions for Wind Energy Applications”

Scan strategies for wind profiling with Doppler lidar – an large-eddy simulation (LES)-based evaluation

Contact Info

Product

Resources

About