Articles | Volume 7, issue 4
https://doi.org/10.5194/wes-7-1441-2022
© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
13 Jul 2022
Research article |
| 13 Jul 2022
| 13 Jul 2022
High-resolution offshore wind resource assessment at turbine hub height with Sentinel-1 synthetic aperture radar (SAR) data and machine learning
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Ahsbahs, T., Badger, M., Karagali, I., and Larsén, X. G.:
Validation of Sentinel-1A SAR coastal wind speeds against scanning LiDAR, Remote Sens.-Basel, 9, 552, https://doi.org/10.3390/rs9060552, 2017.
Ahsbahs, T., Maclaurin, G., Draxl, C., Jackson, C. R., Monaldo, F., and Badger, M.:
US East Coast synthetic aperture radar wind atlas for offshore wind energy, Wind Energ. Sci., 5, 1191–1210, https://doi.org/10.5194/wes-5-1191-2020, 2020.
Badger, M., Peña, A., Hahmann, A. N., Mouche, A. A., and Hasager, C. B.:
Extrapolating Satellite Winds to Turbine Operating Heights, J. Appl. Meteorol. Clim., 55, 975–991, https://doi.org/10.1175/JAMC-D-15-0197.1, 2016.
Badger, M., Ahsbahs, T. T., Maule, P., and Karagali, I.:
Inter-calibration of SAR data series for offshore wind resource assessment, Remote Sens. Environ., 232, 111316, https://doi.org/10.1016/j.rse.2019.111316, 2019.
Bentamy, A. and Croize-Fillon, D.:
Spatial and temporal characteristics of wind and wind power off the coasts of Brittany, Renew. Energ., 66, 670–679, https://doi.org/10.1016/j.renene.2014.01.012, 2014.
