MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting-Part 1: Theory

Geoscientific Model Development

Volumn 6, Issue 6, 2013, Pages 1851-1869

  De Dominicis, M ^a   Pinardi, N ^b   Zodiatis, G ^c   Lardner, R ^c  

^a ISTITUTO NAZIONALE DI GEOFISICA E VULCANOLOGIA   (Italy)

^b UNIVERSITY OF BOLOGNA   (Italy)

^c UNIVERSITY OF CYPRUS   (Cyprus)

Author keywords

[No Author keywords available]

Indexed keywords

ADHESION; CIRCULATION MODELING; DIFFUSION; EULERIAN ANALYSIS; FORECASTING METHOD; LAGRANGIAN ANALYSIS; MARINE POLLUTION; MATHEMATICAL ANALYSIS; NUMERICAL MODEL; OIL SPILL; PARAMETERIZATION; SENSITIVITY ANALYSIS;

EID: 84887293956     PISSN: 1991959X     EISSN: 19919603     Source Type: Journal    
DOI: 10.5194/gmd-6-1851-2013     Document Type: Article

References (58)

1. Al-Rabeh, A. H., Lardner, R. W., and Gunay, N.: Gulfspill Version 2.0: a software package for oil spills in the Arabian Gulf, Environ. Modell. Softw., 15, 425-442, 2000. (Pubitemid 30400313)
2. Ambjörn, C.: SeatrackWeb, Forecasts of Oil Spills, a New Version, Environ. Res. Eng. Manage., 3, 60-66, 2007.
3. ASA: OILMAP for Windows (technical manual), Narrangansett, Rhode Island: ASA Inc, 1997.
4. ASCE: State-of-the-Art Review of Modeling Transport and Fate of Oil Spills, J. Hydraulic Eng., 122, 594-609, 1996.
5. Berry, A., Dabrowski, T., and Lyons, K.: The oil spill model OILTRANS and its application to the Celtic Sea, Mar. Pollut. Bull., 64, 2489-2501, 2012.
6. Butenschön, M. and Zavatarelli, M., and Vichi, M.: Sensitivity of a marine coupled physical biogeochemical model to time resolution, integration scheme and time splitting method, Ocean Model., 52, 36-53, 2012.
7. Carracedo, P., Torres-López, S., Barreiro, M., Montero, P., Balseiro, C., Penabad, E., Leitao, P., and Pérez-Muñuzuri, V.: Improvement of pollutant drift forecast system applied to the Prestige oil spills in Galicia Coast (NW of Spain): Development of an operational system, Mar. Pollut. Bull., 53, 350-360, 2006. (Pubitemid 43849844)
8. Castanedo, S., Medina, R., Losada, I. J., Vidal, C., Mendez, F. J., Osorio, A., Juanes, J. A., and Puente, A.: The Prestige oil spill in Cantabria Bay of Biscay). Part I: Operational forecasting system for quick response, risk assessment, and protection of natural resources, J. Coast. Res., 22, 1474-1489, 2006.
9. 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, Mar. Pollut. Bullet., 62, 140-153, 2011.
10. Daniel, P., Marty, F., Josse, P., Skandrani, C., and Benshila, R.: Improvement of drift calculation in Mothy operational oil spill prediction system, in: International Oil Spill Conference (Vancouver, Canadian Coast Guard and Environment Canada), vol. 6, 2003.
11. De Dominicis, M., Leuzzi, G., Monti, P., Pinardi, N., and Poulain, P.: Eddy diffusivity derived from drifter data for dispersion model applications, Ocean Dynam., 62, 1381-1398, doi:10.1007/s10236-012-0564-2, 2012.
12. 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, doi:10.5194/gmd-6-1871-2013, 2013.
13. Griffa, A.: Applications of stochastic particle models to oceanographic problems, in: Stochastic modelling in physical oceanography, Progress in Probability, 39, 113-140, 1996.
14. Gurney, K., Law, R., Denning, A., Rayner, P., Baker, D., Bousquet, P., Bruhwiler, L., Chen, Y. H., Ciais, P., Fan, S., Fung, I. Y., Gloor, M., Heimann, M., Higuchi, K., John, J., Maki, T., Maksyutov, S., Masarie, K., Peylin, P., Prather, M., Pak, B. C., Randerson, J., Sarmiento, J., Taguchi, S., Takahashi, T., and Yuen, C.-W.: Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models, Nature, 415, 626-630, 2002. (Pubitemid 34136386)
15. Gurney, K., Law, R., Denning, A., Rayner, P., Pak, B., Baker, D., Bousquet, P., Bruhwiler, L., Chen, Y., Ciais, P., Fung, I. Y., Heimann, M., John, J., Maki, T., Maksyutov, S., Peylin, P., Prather, M., and Taguchi, S.: Transcom 3 inversion intercomparison: Model mean results for the estimation of seasonal carbon sources and sinks, Global Biogeochem. Cy., 18, GB1010, doi:10.1029/2003GB002111, 2004.
16. Hackett, B., Breivik, Ø., andWettre, C.: Forecasting the Drift of Objects and Substances in the Ocean, Ocean Weather Forecasting, Springer, Netherlands, 507-523, 2006.
17. Haidvogel, D. B. and Beckmann, A.: Numerical ocean circulation modeling, Imperial College Pr, 318 pp., ISBN 9781860941146, 1999.
18. Hasselmann, K., Barnett, T., Bouws, E., Carlson, H., Cartwright, D., Enke, K., Ewing, J., Gienapp, H., Hasselmann, D., Kruseman, P., Meerburg, A., Mller, P., Olbers, D., Richter, K., Sell,W., and Walden, H.: Measurements of wind-wave growth and swell decay during the Joint North Sea Wave Project (JONSWAP), Ergänzungsheft zur Deutschen Hydrographischen Zeitschrift Reihe, A8-12, 1973.
19. Huntley, H. S., Lipphardt, B. L., and Kirwan, A. D.: Surface drift predictions of the Deepwater Horizon spill: The Lagrangian perspective, in: Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, Geophys. Monogr. Ser., 195, 179-195, 2011
20. Lardner, R., Zodiatis, G., Loizides, L., and Demetropoulos, A.: An operational oil spill model for the Levantine Basin (Eastern Mediterranean Sea), in: International Symposium on Marine Pollution, 1998.
21. Lardner, R., Zodiatis, G., Hayes, D., and Pinardi, N.: Application of the MEDSLIK Oil Spill Model to the Lebanese Spill of July 2006, European Group of Experts on Satellite Monitoring of Sea Based Oil Pollution, European Communities, 2006.
22. Lehr,W., Jones, R., Evans, M., Simecek-Beatty, D., and Overstreet, R.: Revisions of the ADIOS oil spill model, Environ. Modell. Softw., 17, 189-197, 2002.
23. Lenn, Y. D. and Chereskin, T. K.: Observations of Ekman currents in the Southern Ocean, J. Phys. Oceanogr., 39, 768-779, 2009.
24. Liu, Y., MacFadyen, A., Ji, Z.-G., and Weisberg, R. H.: Introduction to Monitoring and Modeling the Deepwater Horizon Oil Spill, in: Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, Geophys. Monogr. Ser., 195, 1-7, 2011a.
25. Liu, Y., Weisberg, R. H., Hu, C., and Zheng, L.: Trajectory forecast as a rapid response to the Deepwater Horizon oil spill, in: Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, Geophys. Monogr. Ser., 195, 153-165, 2011b.
26. Lorimer, G.: The kernel method for air quality modelling-I, Mathematical foundation, Atmos. Environ. (1967), 20, 1447-1452, 1986.
27. Mackay, D., Buist, I., Mascarenhas, R., and Paterson, S.: Oil spill processes and models. Report to Research and Development Division, Environment Emergency Branch, Environmental Impact Control Directorate, Environmental Protection Service, Environment Canada, Ottawa, 1979.
28. Mackay, D., Paterson, S., and Trudel, B.: A mathematical model of oil spill behaviour, Report to Research and Development Division, Environment Emergency Branch, Environmental Impact Control Directorate, Environmental Protection Service, Environment Canada, Ottawa, 1980.
29. Nittis, K., Perivoliotis, L., Korres, G., Tziavos, C., and Thanos, I.: Operational monitoring and forecasting for marine environmental applications in the Aegean Sea, Environ. Modell. Softw., 21, 243-257, 2006.
30. Noye, J.: Numerical methods for solving the transport equation, Num. Model. Application Mar. Syst., 145, 195-229, 1987.
31. Pedlosky, J.: The buoyancy and wind-driven ventilated thermocline, J. Phys. Oceanogr., 16, 1077-1087, 1986.
32. Pinardi, N. and Coppini, G.: Preface Operational oceanography in the Mediterranean Sea: the second stage of development, Ocean Sci., 6, 263-267, doi:10.5194/os-6-263-2010, 2010.
33. Pinardi, N., Allen, I., Demirov, E., De Mey, P., Korres, G., Lascaratos, A., Le Traon, P.-Y., Maillard, C., Manzella, G., and Tziavos, C.: The Mediterranean ocean forecasting system: first phase of implementation (1998-2001), Ann. Geophys., 21, 3-20, doi:10.5194/angeo-21-3-2003, 2003. (Pubitemid 36715221)
34. Pollani, A., Triantafyllou, G., Petihakis, G., Nittis, K., Dounas, C., and Christoforos, K.: The Poseidon operational tool for the prediction of floating pollutant transport, Mar. Pollut. Bull., 43, 270-278, 2001.
35. Price, J. F., Weller, R. A., and Schudlich, R. R.: Wind-driven ocean currents and Ekman transport, Science, 238, 1534-1538, 1987.
36. Pugliese Carratelli, E., Dentale F., and Reale F.: On the effects of wave-induced drift and dispersion in the Deepwater Horizon oil spill, in: Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, Geophys. Monogr. Ser., 195, 197-204, 2011.
37. Reed, M., Gundlach, E., and Kana, T.: A coastal zone oil spill model: development and sensitivity studies, Oil Chem. Pollut., 5, 411-449, 1989. (Pubitemid 19235052)
38. Reed, M., Aamo, O. M., and Daling, P. S.: Quantitative analysis of alternate oil spill response strategies using OSCAR, Spill Sci. Technol. Bull., 2, 67-74, 1995. (Pubitemid 26441165)
39. Reed, M., Johansen, Ø., Brandvik, P. J., Daling, P., Lewis, A., Fiocco, R., Mackay, D., and Prentki, R.: Oil Spill Modeling towards the Close of the 20th Century: Overview of the State of the Art, Spill Sci. Technol. Bull., 5, 3-16, 1999. (Pubitemid 29348024)
40. Risken, H.: The Fokker-Planck equation, Springer, 475 pp., ISBN 354061530X, 9783540615309, 1989.
41. Röhrs, J., Christensen, K. H., Hole, L. R., Broström, G., Drivdal, M., and Sundby, S.: Observation-based evaluation of surface wave effects on currents and trajectory forecasts, Ocean Dynamics, 62, 10-12, 1519-1533, 2012.
42. Schreurs, P., Mewis, J., and Havens, J.: Numerical aspects of a Lagrangian particle model for atmospheric dispersion of heavy gases, J. Hazardous Materials, 17, 61-80, doi:10.1016/0304-3894(87)85042-2, 1987. (Pubitemid 17156389)
43. Shen, H. T., Yapa, P. D., and Petroski, M. E.: A Simulation Model for Oil Slick Transport in Lakes, Water Resour. Res., 23, 1949-1957, 1987. (Pubitemid 206069)
44. Sibert, J. R., Hampton, J., Fournier, D. A., and Bills, P. J.: An advection-diffusion-reaction model for the estimation of fish movement parameters from tagging data, with application to skipjack tuna (Katsuwonus pelamis), Canadian J. Fish. Aquatic Sci., 56, 925-938, 1999.
45. Sobey, R. J. and Barker, C. H.:Wave-driven transport of surface oil, J. Coastal Res., 13, 490-496, 1997.
46. Sotillo, M., Alvarez Fanjul, E., Castanedo, S., Abascal, A., Menendez, J., Emelianov, M., Olivella, R., García-Ladona, E., Ruiz-Villarreal, M., Conde, J., Gøomez, M., Conde, P., Gutierrez, A., and Medina, R.: Towards an operational system for oil-spill forecast over Spanish waters: Initial developments and implementation test, Mar. Pollut. Bull., 56, 686-703, 2008.
47. Spaulding, M., Kolluru, V., Anderson, E., and Howlett, E.: Application of three-dimensional oil spill model (WOSM/OILMAP) to hindcast the Braer spill, Spill Sci. Technol. Bull., 1, 23-35, 1994.
48. Stohl, A.: Computation, accuracy and applications of trajectories-A review and bibliography, Atmos. Environ., 32, 947-966, doi:10.1016/S1352- 2310(97)00457-3, 1998. (Pubitemid 28236480)
49. Stokes, G.: On the theory of oscillatory waves, Transactions of the Cambridge Philosophical Society, 8, 441-473, 1847.
50. Tompson, A. and Gelhar, L.: Numerical Simulation of Solute Transport in Three-Dimensional, Randomly Heterogeneous Porous Media, Water Resour. Res., 26, 2541-2562, 1990.
51. Wang, J. and Shen, Y.: Development of an integrated model system to simulate transport and fate of oil spills in seas, Sci. China Technol. Sci., 53, 2423-2434, 2010.
52. Wang, S., Shen, Y., Guo, Y., and Tang, J.: Three-dimensional numerical simulation for transport of oil spills in seas, Ocean Eng., 35, 503-510, 2008.
53. Woods, J.: Primitive equation modelling of plankton ecosystems, Ocean Forecasting, Conceptual Basis and Applications, edited by: Pinardi, N. and Woods, J., Springer-Verlag Berlin Heidelberg, 2002.
54. Wunsch, C.: The work done by the wind on the oceanic general circulation, J. Phys. Oceanogr., 28, 2332-2340, 1998.
55. Zelenke, B., O'Connor, C., Barker, C., Beegle-Krause, C. J., and Eclipse, L. (Eds.): General NOAA Operational Modeling Environment (GNOME) Technical Documentation, US Dept. of Commerce, NOAA Technical Memorandum NOS OR&R 40. Seattle, WA: Emergency Response Division, NOAA, 105 pp., available at: http://response.restoration.noaa.gov/gnome-manual, 2012.
56. Zodiatis, G., Lardner, R., Hayes, D., Georgiou, G., Pinardi, N., De Dominicis, M., and Panayidou, X.: The Mediterranean oil spill and trajectory prediction model in assisting the EU response agencie, in: Congreso Nacional de Salvamento en la Mar, Cadiz, 2-4 October, libro de actas, 535-547, 2008a.
57. Zodiatis, G., Lardner, R., Hayes, D. R., Georgiou, G., Sofianos, S., Skliris, N., and Lascaratos, A.: Operational ocean forecasting in the Eastern Mediterranean: implementation and evaluation, Ocean Sci., 4, 31-47, doi:10.5194/os-4-31-2008, 2008b. (Pubitemid 351222429)
58. Zodiatis, G., Lardner, R., Solovyov, D., Panayidou, X., and De Dominicis, M.: Predictions for oil slicks detected from satellite images using MyOcean forecasting data, Ocean Sci., 8, 1105-1115, doi:10.5194/os-8-1105-2012, 2012.