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.

Data sets

MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V006 M. Friedl and D. Sulla-Menashe https://doi.org/10.5067/MODIS/MCD12Q1.006

Land Cover Products - Global Land Cover Characterization (GLCC) USGS EROS Archive https://doi.org/10.5066/F7GB230D

ESA-CCI Land Cover ESA http://maps.elie.ucl.ac.be/CCI/viewer/

CORINE Land Cover 2018 Copernicus Land Monitoring Service https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=download

INNOWIND data layers EMD international https://help.emd.dk/mediawiki/index.php?title=Innowind_Premium_Data_Layers

MEWA data National Institute of Electricity and Clean Energies (INEEL) https://aems.ineel.mx/aemdata/MemberPages/Download.aspx?lang=EN

WASA data Council of Scientific & Industrial Research (CSIR) http://wasadata.csir.co.za/wasa1/WASAData

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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.