Long-term uncertainty quantification in WRF-modeled offshore wind resource off the US Atlantic coast

Bodini, Nicola; Castagneri, Simon; Optis, Mike

doi:https://doi.org/10.5194/wes-8-607-2023

Articles | Volume 8, issue 4

https://doi.org/10.5194/wes-8-607-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-8-607-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 8, issue 4

Research article

|

28 Apr 2023

Research article |

| 28 Apr 2023

Long-term uncertainty quantification in WRF-modeled offshore wind resource off the US Atlantic coast

Nicola Bodini, Simon Castagneri, and Mike Optis

Data sets

US Offshore Wind Resource data for 2000-2020 N. Bodini, M. Optis, M. Rossol, A. Rybchuk, and S. Redfern https://doi.org/10.25984/1821404

Atlantic Shores Offshore Wind, ASOW-4, Winds Profile MARACOOS https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-4_wind.html

Atlantic Shores Offshore Wind, ASOW-6, Winds Profile MARACOOS https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-6_wind.html

Model code and software

WRF nameless for NREL's Mid-Atlantic WRF simulations N. Bodini and M. Optis https://doi.org/10.5281/zenodo.7814365

Short summary

The National Renewable Energy Laboratory (NREL) has published updated maps of the wind resource along all US coasts. Given the upcoming offshore wind development, it is essential to quantify the uncertainty that comes with the modeled wind resource data set. The paper proposes a novel approach to quantify this numerical uncertainty by leveraging available observations along the US East Coast.