Articles | Volume 7, issue 1
https://doi.org/10.5194/wes-7-413-2022
https://doi.org/10.5194/wes-7-413-2022
Research article
 | 
01 Mar 2022
Research article |  | 01 Mar 2022

The five main influencing factors for lidar errors in complex terrain

Tobias Klaas-Witt and Stefan Emeis

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Cited articles

Antoniou, I., Courtney, M. S., Jørgensen, H. E., Mikkelsen, T., Hunerbein, S. V., Bradley, S., Piper, B., Harris, M., Marti, I., Aristu, M., Foussekis, D., and Nielsen, M. P.: Remote sensing the wind using Lidars and Sodars, EWEA – European Wind Energy Association, Brussels, https://orbit.dtu.dk/en/publications/remote-sensing-the-wind-using-lidars-and-sodars (last access: 22 February 2022), 2007. 
Ayotte, K. W.: Computational modeling for wind energy assessment, J. Wind Eng. Indust. Aerodynam., 96, 1571–1590, https://doi.org/10.1016/j.jweia.2008.02.002, 2008. 
Behrens, P., O'Sullivan, J., Archer, R., and Bradley, S.: Underestimation of Monostatic Sodar Measurements in Complex Terrain, Bound.-Lay. Meteorol., 143, 97–106, https://doi.org/10.1007/s10546-011-9665-6, 2012. 
Belcher, S. E., Finnigan, J. J., and Harman, I. N.: Flow through forest canopies in complex terrain, Ecol. Appl., 1436–1453, 2008. 
Belcher, S. E., Harman, I. N., and Finnigan, J. J.: The Wind in the Willows: Flow in Forest Canopies in Complex Terrain, Annu. Rev. Fluid Mech., 479–504, 2012. 
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Short summary
Light detection and ranging (lidar) has become a valuable technology to assess the wind resource at hub height of modern wind turbines. However, because of their measurement principle, common lidars suffer from errors at orographically complex, i.e. hilly or mountainous, sites. This study analyses the impact of the five main influencing factors in a non-dimensional, model-based parameter study.
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