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

Related authors

Modelling mussel (Mytilus spp.) microplastic accumulation
Natalia Stamataki, Yannis Hatzonikolakis, Kostas Tsiaras, Catherine Tsangaris, George Petihakis, Sarantis Sofianos, and George Triantafyllou
Ocean Sci., 16, 927–949, https://doi.org/10.5194/os-16-927-2020,https://doi.org/10.5194/os-16-927-2020, 2020
Short summary
Physical-biogeochemical regional ocean model uncertainties stemming from stochastic parameterizations and potential impact on data assimilation
Vassilios D. Vervatis, Pierre De Mey-Frémaux, Nadia Ayoub, Sarantis Sofianos, Charles-Emmanuel Testut, Marios Kailas, John Karagiorgos, and Malek Ghantous
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-31,https://doi.org/10.5194/gmd-2019-31, 2019
Revised manuscript not accepted
Short summary
Mediterranean Sea climatic indices: monitoring long-term variability and climate changes
Athanasia Iona, Athanasios Theodorou, Sarantis Sofianos, Sylvain Watelet, Charles Troupin, and Jean-Marie Beckers
Earth Syst. Sci. Data, 10, 1829–1842, https://doi.org/10.5194/essd-10-1829-2018,https://doi.org/10.5194/essd-10-1829-2018, 2018
Short summary
Modeling the ocean and atmosphere during an extreme bora event in northern Adriatic using one-way and two-way atmosphere–ocean coupling
M. Ličer, P. Smerkol, A. Fettich, M. Ravdas, A. Papapostolou, A. Mantziafou, B. Strajnar, J. Cedilnik, M. Jeromel, J. Jerman, S. Petan, V. Malačič, and S. Sofianos
Ocean Sci., 12, 71–86, https://doi.org/10.5194/os-12-71-2016,https://doi.org/10.5194/os-12-71-2016, 2016
Short summary
Physical forcing and physical/biochemical variability of the Mediterranean Sea: a review of unresolved issues and directions for future research
P. Malanotte-Rizzoli, V. Artale, G. L. Borzelli-Eusebi, S. Brenner, A. Crise, M. Gacic, N. Kress, S. Marullo, M. Ribera d'Alcalà, S. Sofianos, T. Tanhua, A. Theocharis, M. Alvarez, Y. Ashkenazy, A. Bergamasco, V. Cardin, S. Carniel, G. Civitarese, F. D'Ortenzio, J. Font, E. Garcia-Ladona, J. M. Garcia-Lafuente, A. Gogou, M. Gregoire, D. Hainbucher, H. Kontoyannis, V. Kovacevic, E. Kraskapoulou, G. Kroskos, A. Incarbona, M. G. Mazzocchi, M. Orlic, E. Ozsoy, A. Pascual, P.-M. Poulain, W. Roether, A. Rubino, K. Schroeder, J. Siokou-Frangou, E. Souvermezoglou, M. Sprovieri, J. Tintoré, and G. Triantafyllou
Ocean Sci., 10, 281–322, https://doi.org/10.5194/os-10-281-2014,https://doi.org/10.5194/os-10-281-2014, 2014

Related subject area

Depth range: All Depths | Approach: Numerical Models | Geographical range: Mediterranean Sea | Properties and processes: Transports/cycling (nutrients, C, O, etc.) | Challenges: Oceanic pollution
Sinking microplastics in the water column: simulations in the Mediterranean Sea
Rebeca de la Fuente, Gábor Drótos, Emilio Hernández-García, Cristóbal López, and Erik van Sebille
Ocean Sci., 17, 431–453, https://doi.org/10.5194/os-17-431-2021,https://doi.org/10.5194/os-17-431-2021, 2021
Short summary

Cited articles

Al Shami, A., Harik, G., Alameddine, I., Bruschi, D., Garcia, D. A., and El-Fadel, M.: Risk assessment of oil spills along the Mediterranean coast: A sensitivity analysis of the choice of hazard quantification, Sci. Total Environ., 574, 234–245, https://doi.org/10.1016/j.scitotenv.2016.09.064, 2017. 
Amir-Heidari, P. and Raie, M.: A new stochastic oil spill risk assessment model for Persian Gulf: Development, application and evaluation, Mar. Pollut. Bull., 145, 357–369, https://doi.org/10.1016/j.marpolbul.2019.05.022, 2019. 
Amir-Heidari, P., Arneborg, L., Lindgren, J. F., Lindhe, A., Rosén, L., Raie, M., Axell, L., and Hassellöv, I.-M.: A state-of-the-art model for spatial and stochastic oil spill risk assessment: A case study of oil spill from a shipwreck, Environ. Int., 126, 309–320, https://doi.org/10.1016/j.envint.2019.02.037, 2019. 
Buizza, R.: The ECMWF Ensemble Prediction System, in: Predictability of Weather and Climate, vol. 9780521848, edited by: Palmer, T. and Hagedorn, R., 459–488, Cambridge University Press, Cambridge, https://doi.org/10.1017/CBO9780511617652.018, 2006. 
Clementi, E., Pistoia, J., Escudier, R., Delrosso, D., Drudi, M., Grandi, A., Lecci, R., Cretí, S., Ciliberti, S., Coppini, G., Masina, S., and Pinardi, N.: Mediterranean Sea Analysis and Forecast (CMEMS MED-Currents 2016–2019) (Version 1), Copernicus Monitoring Environment Marine Service (CMEMS) [Data set], https://doi.org/10.25423/CMCC/MEDSEA_ANALYSIS_FORECAST_PHY_006_013_EAS4, 2019. 
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.