Articles | Volume 7, issue 2
https://doi.org/10.5194/wes-7-815-2022
https://doi.org/10.5194/wes-7-815-2022
Research article
 | 
05 Apr 2022
Research article |  | 05 Apr 2022

Detecting and characterizing simulated sea breezes over the US northeastern coast with implications for offshore wind energy

Geng Xia, Caroline Draxl, Michael Optis, and Stephanie Redfern

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Interactive discussion

Status: closed

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
  • RC2: 'Comment on wes-2021-109', Anonymous Referee #2, 21 Nov 2021
  • RC3: 'Comment on wes-2021-109', Anonymous Referee #3, 25 Nov 2021
  • RC4: 'Comment on wes-2021-109', Anonymous Referee #4, 29 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Geng Xia on behalf of the Authors (07 Feb 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (06 Mar 2022) by Jakob Mann
ED: Publish as is (07 Mar 2022) by Gerard J.W. van Bussel (Chief editor)
AR by Geng Xia on behalf of the Authors (12 Mar 2022)
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Short summary
In this study, we propose a new method to detect sea breeze events from the Weather Research and Forecasting simulation. Our results suggest that the 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, highlighting the importance of identifying the correct type of sea breeze in numerical weather/wind energy forecasting.
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