Articles | Volume 7, issue 4
https://doi.org/10.5194/gmd-7-1507-2014
https://doi.org/10.5194/gmd-7-1507-2014
Model description paper
 | 
22 Jul 2014
Model description paper |  | 22 Jul 2014

CranSLIK v1.0: stochastic prediction of oil spill transport and fate using approximation methods

B. J. Snow, I. Moulitsas, A. J. Kolios, and M. De Dominicis

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Cited articles

Coppini, G., De Dominicis, M., Zodiatis, G., Lardner, R., Pinardi, N., Santoleri, R., Colella, S., Bignami, F., Hayes, D. R., Soloviev, D., Georgiou, G., and Kallos, G.: Hindcast of oil-spill pollution during the Lebanon crisis in the Eastern Mediterranean, July–August 2006, Marine Pollut. Bull., 62, 140–153, 2011.
De Dominicis, M., Pinardi, N., Zodiatis, G., and Archetti, R.: MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting – Part 2: Numerical simulations and validations, Geosci. Model Dev., 6, 1871–1888, https://doi.org/10.5194/gmd-6-1871-2013, 2013a.
De Dominicis, M., Pinardi, N., Zodiatis, G., and Lardner, R.: MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting – Part 1: Theory, Geosci. Model Dev., 6, 1851–1869, https://doi.org/10.5194/gmd-6-1851-2013, 2013b.
de Prada Gil, M., Gomis-Bellmunt, O., Sumper, A., and Bergas-Jane, J.: Power Generation efficiency analysis of offshore wind farms connected to SLPC (simgle large power converter) operated with variable frequencies considering wake effects, Energy, 37, 455–468, 2012.
Dobricic, S. and Pinardi, N.: An oceanographic three-dimensional variational data assimilation scheme, Ocean Model., 22, 89–105, 2008.
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