Articles | Volume 8, issue 1
https://doi.org/10.5194/wes-8-1-2023
© Author(s) 2023. 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-8-1-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jan 2023
Research article |
| 02 Jan 2023
| 02 Jan 2023
Offshore wind energy forecasting sensitivity to sea surface temperature input in the Mid-Atlantic
Stephanie Redfern
CORRESPONDING AUTHOR
National Renewable Energy Laboratory, Golden, Colorado 80401, USA
Mike Optis
Veer Renewables, Inc., Courtenay, BC, Canada
National Renewable Energy Laboratory, Golden, Colorado 80401, USA
Caroline Draxl
National Renewable Energy Laboratory, Golden, Colorado 80401, USA
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Short summary
As wind farm developments expand offshore, accurate forecasting of winds above coastal waters is rising in importance. Weather models rely on various inputs to generate their forecasts, one of which is sea surface temperature (SST). In this study, we evaluate how the SST data set used in the Weather Research and Forecasting model may influence wind characterization and find meaningful differences between model output when different SST products are used.
As wind farm developments expand offshore, accurate forecasting of winds above coastal waters is...
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