Articles | Volume 6, issue 6
https://doi.org/10.5194/wes-6-1501-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-6-1501-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The 3 km Norwegian reanalysis (NORA3) – a validation of offshore wind resources in the North Sea and the Norwegian Sea
Ida Marie Solbrekke
CORRESPONDING AUTHOR
Geophysical Institute, Bergen Offshore Wind Centre (BOW), University of Bergen, Allegaten 70, 5020 Bergen, Norway
Asgeir Sorteberg
Geophysical Institute, Bjerknes Centre for Climate Research (BCCR), Bergen Offshore Wind Centre (BOW), University of Bergen, Bergen, Norway
Hilde Haakenstad
Geophysical Institute, Norwegian Meteorological Institute, University of Bergen, Bergen, Norway
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- Data-driven method for hydrodynamic model estimation applied to an unmanned surface vehicle R. Mounet et al. 10.1016/j.measurement.2024.114724
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- The Impact of a Reduced High‐Wind Charnock Parameter on Wave Growth With Application to the North Sea, the Norwegian Sea, and the Arctic Ocean Ø. Breivik et al. 10.1029/2021JC018196
- Metocean conditions at two Norwegian sites for development of offshore wind farms E. Cheynet et al. 10.1016/j.renene.2024.120184
- Measure-correlate-predict methods to improve the assessment of wind and wave energy availability at a semi-exposed coastal area G. Ayuso-Virgili et al. 10.1016/j.energy.2024.132904
- Electrification of Oil and Gas Platforms by Wind Energy N. Saadallah & Y. Heggelund 10.3390/en16073062
- Correlation challenges for North Sea offshore wind power: a Norwegian case study M. Hjelmeland & J. Nøland 10.1038/s41598-023-45829-2
- Offshore wind power around the Iberian Peninsula: variability, complementarity and added value for the power system N. López-Franca et al. 10.1088/1748-9326/acffde
- Exploring the Potential of Sentinel-1 Ocean Wind Field Product for Near-Surface Offshore Wind Assessment in the Norwegian Arctic E. Khachatrian et al. 10.3390/atmos15020146
- Assessment of wind–damage relations for Norway using 36 years of daily insurance data A. Jaison et al. 10.5194/nhess-24-1341-2024
- Evaluating the mesoscale spatio-temporal variability in simulated wind speed time series over northern Europe G. Luzia et al. 10.5194/wes-7-2255-2022
- NORA3-WP: A high-resolution offshore wind power dataset for the Baltic, North, Norwegian, and Barents Seas I. Solbrekke & A. Sorteberg 10.1038/s41597-022-01451-x
- A one-year comparison of new wind atlases over the North Sea E. Cheynet et al. 10.1088/1742-6596/2362/1/012009
- Underestimation of strong wind speeds offshore in ERA5: evidence, discussion and correction R. Gandoin & J. Garza 10.5194/wes-9-1727-2024
- Norwegian offshore wind power—Spatial planning using multi‐criteria decision analysis I. Solbrekke & A. Sorteberg 10.1002/we.2871
- Vertical extrapolation of Advanced Scatterometer (ASCAT) ocean surface winds using machine-learning techniques D. Hatfield et al. 10.5194/wes-8-621-2023
- Constrained optimization of offshore wind turbine positions under uncertain wind conditions with correlated data P. Pettersson et al. 10.1088/1742-6596/2626/1/012056
- Future Projections of EURO‐CORDEX Raw and Bias‐Corrected Daily Maximum Wind Speeds Over Scandinavia C. Michel & A. Sorteberg 10.1029/2022JD037953
- Projections of windstorms damages under changing climate and demography for Norway A. Jaison et al. 10.1088/2752-5295/ad6a2f
- The COTUR project: remote sensing of offshore turbulence for wind energy application E. Cheynet et al. 10.5194/amt-14-6137-2021
- High-resolution regional sea-ice model based on the discrete element method with boundary conditions from a large-scale model for ice drift A. Tsarau et al. 10.1017/aog.2024.26
19 citations as recorded by crossref.
- Data-driven method for hydrodynamic model estimation applied to an unmanned surface vehicle R. Mounet et al. 10.1016/j.measurement.2024.114724
- Gone with the wind? Wind farm-induced wakes and regulatory gaps E. Finserås et al. 10.1016/j.marpol.2023.105897
- The Impact of a Reduced High‐Wind Charnock Parameter on Wave Growth With Application to the North Sea, the Norwegian Sea, and the Arctic Ocean Ø. Breivik et al. 10.1029/2021JC018196
- Metocean conditions at two Norwegian sites for development of offshore wind farms E. Cheynet et al. 10.1016/j.renene.2024.120184
- Measure-correlate-predict methods to improve the assessment of wind and wave energy availability at a semi-exposed coastal area G. Ayuso-Virgili et al. 10.1016/j.energy.2024.132904
- Electrification of Oil and Gas Platforms by Wind Energy N. Saadallah & Y. Heggelund 10.3390/en16073062
- Correlation challenges for North Sea offshore wind power: a Norwegian case study M. Hjelmeland & J. Nøland 10.1038/s41598-023-45829-2
- Offshore wind power around the Iberian Peninsula: variability, complementarity and added value for the power system N. López-Franca et al. 10.1088/1748-9326/acffde
- Exploring the Potential of Sentinel-1 Ocean Wind Field Product for Near-Surface Offshore Wind Assessment in the Norwegian Arctic E. Khachatrian et al. 10.3390/atmos15020146
- Assessment of wind–damage relations for Norway using 36 years of daily insurance data A. Jaison et al. 10.5194/nhess-24-1341-2024
- Evaluating the mesoscale spatio-temporal variability in simulated wind speed time series over northern Europe G. Luzia et al. 10.5194/wes-7-2255-2022
- NORA3-WP: A high-resolution offshore wind power dataset for the Baltic, North, Norwegian, and Barents Seas I. Solbrekke & A. Sorteberg 10.1038/s41597-022-01451-x
- A one-year comparison of new wind atlases over the North Sea E. Cheynet et al. 10.1088/1742-6596/2362/1/012009
- Underestimation of strong wind speeds offshore in ERA5: evidence, discussion and correction R. Gandoin & J. Garza 10.5194/wes-9-1727-2024
- Norwegian offshore wind power—Spatial planning using multi‐criteria decision analysis I. Solbrekke & A. Sorteberg 10.1002/we.2871
- Vertical extrapolation of Advanced Scatterometer (ASCAT) ocean surface winds using machine-learning techniques D. Hatfield et al. 10.5194/wes-8-621-2023
- Constrained optimization of offshore wind turbine positions under uncertain wind conditions with correlated data P. Pettersson et al. 10.1088/1742-6596/2626/1/012056
- Future Projections of EURO‐CORDEX Raw and Bias‐Corrected Daily Maximum Wind Speeds Over Scandinavia C. Michel & A. Sorteberg 10.1029/2022JD037953
- Projections of windstorms damages under changing climate and demography for Norway A. Jaison et al. 10.1088/2752-5295/ad6a2f
2 citations as recorded by crossref.
- The COTUR project: remote sensing of offshore turbulence for wind energy application E. Cheynet et al. 10.5194/amt-14-6137-2021
- High-resolution regional sea-ice model based on the discrete element method with boundary conditions from a large-scale model for ice drift A. Tsarau et al. 10.1017/aog.2024.26
Latest update: 04 Nov 2024
Short summary
We validate new high-resolution data set (NORA3) for offshore wind power purposes for the North Sea and the Norwegian Sea. The aim of the validation is to ensure that NORA3 can act as a wind resource data set in the planning phase for future offshore wind power installations in the area of concern. The general conclusion of the validation is that NORA3 is well suited for wind power estimates but gives slightly conservative estimates of the offshore wind metrics.
We validate new high-resolution data set (NORA3) for offshore wind power purposes for the North...
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