Articles | Volume 17, issue 4
https://doi.org/10.5194/os-17-919-2021
https://doi.org/10.5194/os-17-919-2021
Research article
 | 
15 Jul 2021
Research article |  | 15 Jul 2021

Oil spill model uncertainty quantification using an atmospheric ensemble

Konstantinos Kampouris, Vassilios Vervatis, John Karagiorgos, and Sarantis Sofianos

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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 os-2021-27', George Zodiatis, 14 Apr 2021
    • AC1: 'Reply on RC1', Konstantinos Kampouris, 26 Apr 2021
    • AC3: 'Reply on RC1', Konstantinos Kampouris, 31 May 2021
  • RC2: 'Comment on os-2021-27', Anonymous Referee #2, 24 Apr 2021
    • AC2: 'Reply on RC2', Konstantinos Kampouris, 26 Apr 2021
    • AC4: 'Reply on RC2', Konstantinos Kampouris, 31 May 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Konstantinos Kampouris on behalf of the Authors (31 May 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (08 Jun 2021) by Alejandro Orfila
AR by Konstantinos Kampouris on behalf of the Authors (14 Jun 2021)
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Short summary
The wind is a source of uncertainty in oil spill modeling. We performed oil spill ensemble simulations using an atmospheric ensemble to quantify this uncertainty. We investigate the reliability of oil spill ensemble prediction used as an important forecasting tool to better plan mitigation procedures in the event of an oil spill.