Articles | Volume 6, issue 6
Wind Energ. Sci., 6, 1379–1400, 2021
https://doi.org/10.5194/wes-6-1379-2021
Wind Energ. Sci., 6, 1379–1400, 2021
https://doi.org/10.5194/wes-6-1379-2021

Research article 04 Nov 2021

Research article | 04 Nov 2021

Satellite-based estimation of roughness lengths and displacement heights for wind resource modelling

Rogier Floors et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2021-28', Anonymous Referee #1, 25 May 2021
    • AC1: 'Reply on RC1', Rogier Floors, 10 Sep 2021
  • RC2: 'Comment on wes-2021-28', Anonymous Referee #2, 13 Jun 2021
    • AC2: 'Reply on RC2', Rogier Floors, 10 Sep 2021
  • RC3: 'Comment on wes-2021-28', Anonymous Referee #3, 14 Jun 2021
    • AC3: 'Reply on RC3', Rogier Floors, 10 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Rogier Floors on behalf of the Authors (10 Sep 2021)  Author's response    Author's tracked changes
ED: Publish as is (17 Sep 2021) by Rebecca Barthelmie
ED: Publish as is (30 Sep 2021) by Jakob Mann(Chief Editor)
Download
Short summary
Wind turbines are frequently placed in forests. We investigate the potential of using satellites to characterize the land surface for wind flow modelling. Maps of forest properties are generated from satellite data and converted to flow modelling maps. Validation is carried out at 10 sites. Using the novel satellite-based maps leads to lower errors of the power density than land cover databases, which demonstrates the value of using satellite-based land cover maps for flow modelling.