Preprints
https://doi.org/10.5194/wes-2021-109
https://doi.org/10.5194/wes-2021-109

  22 Oct 2021

22 Oct 2021

Review status: this preprint is currently under review for the journal WES.

Detecting and Characterizing Sea Breezes Over the U.S. Northeast Coast with Implication for Offshore Wind Energy

Geng Xia1, Caroline Draxl1,2, Michael Optis1, and Stephanie Redfern1 Geng Xia et al.
  • 1National Renewable Energy Laboratory, Golden, CO 80401 USA
  • 2Renewable and Sustainable Energy Institute, Boulder, CO 80309, USA

Abstract. In this study, a new two-step identification method is proposed to detect and characterize three types of sea breezes (pure, corkscrew and backdoor) over the U.S. Northeast coast from a year-long WRF (Weather Research and Forecasting) simulation. The results suggest that the proposed detection method can identify the three different types of sea breezes in the model simulation. Key sea breeze features, such as the calm zone associated with pure sea breezes and coastal jets associated with corkscrew sea breezes, are evident in the sea breeze composite imagery. In addition, the simulated sea breeze events indicate a seasonal transition from pure to corkscrew sea breeze between March and August as the land-sea thermal contrast increases. Furthermore, the location and extension of the sea breeze front are different for each type of sea breeze, suggesting that the coastal impact of sea breeze varies with sea breeze type. From the wind energy perspective, the power production associated with a 10 megawatts offshore wind turbine would produce approximately 3 to 4 times more electrical power during a corkscrew sea breeze event than the other two types of sea breezes. This highlights the importance of identifying the correct type of sea breeze in numerical weather/wind energy forecasting.

Geng Xia et al.

Status: open (until 03 Dec 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2021-109', Anna Maria Sempreviva, 21 Nov 2021 reply
  • RC2: 'Comment on wes-2021-109', Anonymous Referee #2, 21 Nov 2021 reply
  • RC3: 'Comment on wes-2021-109', Anonymous Referee #3, 25 Nov 2021 reply

Geng Xia et al.

Geng Xia et al.

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Short summary
In this study, we propose a new method to detect sea breeze events from the WRF simulation. Our results suggest that the proposed detection method can identify the three different types of sea breezes in the model simulation. In addition, the coastal impact, seasonal distribution and offshore wind potential associated with each type of sea breeze differ significantly. This highlights the importance of identifying the correct type of sea breeze in numerical weather/wind energy forecasting.