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| Titel |
CranSLIK v2.0: improving the stochastic prediction of oil spill transport and fate using approximation methods |
| VerfasserIn |
R. Rutherford, I. Moulitsas, B. J. Snow, A. J. Kolios, M. Dominicis |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 10 ; Nr. 8, no. 10 (2015-10-26), S.3365-3377 |
| Datensatznummer |
250116612
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| Publikation (Nr.) |
 copernicus.org/gmd-8-3365-2015.pdf |
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| Zusammenfassung |
| Oil spill models are used to forecast the transport and fate of oil after it
has been released. CranSLIK is a model that predicts the movement and spread
of a surface oil spill at sea via a stochastic approach. The aim of this work
is to identify parameters that can further improve the forecasting algorithms
and expand the functionality of CranSLIK, while maintaining the run-time
efficiency of the method. The results from multiple simulations performed
using the operational, validated oil spill model, MEDSLIK-II, were analysed
using multiple regression in order to identify improvements which could be
incorporated into CranSLIK. This has led to a revised model, namely CranSLIK
v2.0, which was validated against MEDSLIK-II forecasts for real oil spill
cases. The new version of CranSLIK demonstrated significant forecasting
improvements by capturing the oil spill accurately in real validation cases
and also proved capable of simulating a broader range of oil spill scenarios. |
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