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

Viewed

Total article views: 3,013 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,976 920 117 3,013 73 66
  • HTML: 1,976
  • PDF: 920
  • XML: 117
  • Total: 3,013
  • BibTeX: 73
  • EndNote: 66
Views and downloads (calculated since 29 Mar 2021)
Cumulative views and downloads (calculated since 29 Mar 2021)

Viewed (geographical distribution)

Total article views: 3,013 (including HTML, PDF, and XML) Thereof 2,878 with geography defined and 135 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Mar 2025
Download
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.
Share