Hindcast of oil-spill pollution during the Lebanon crisis in the Eastern Mediterranean, July–August 2006

Coppini, Giovanni; Dominicis, Michela De; Zodiatis, George; Lardner, R. W.; Pinardi, Nadia; Santoleri, Rosalia; Colella, Simone; Bignami, Fabio; Hayes, Daniel R.; Soloviev, Dmitry M.; Georgiou, Georgios C.; Kallos, George

doi:10.1016/j.marpolbul.2010.08.021

Cited by 97 publications

(65 citation statements)

References 21 publications

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“…This new metric has already been used by Röhrs et al (2012) and Ivichev et al (2012) to evaluate their model performances. Oil spill models' forecasting accuracy can be also evaluated by comparing the model results to remote sensing observations (Carracedo et al, 2006;Coppini et al, 2011;Berry et al, 2012;Mariano et al, 2011;Liu et al, 2011c), although it is difficult to have oil slick time series for long periods after the first observation, due to the long revisit time for satellites. Between those studies, the pioneering study of Reed et al (1994) combined the drifters and remote sensing observations with chemical samplings.…”

Section: Published By Copernicus Publications On Behalf Of the Europementioning

confidence: 99%

“…MEDSLIK-II has been coupled to operational Ocean General Circulation Model (OGCM) outputs that provide analyses and forecasts for the deterministic components of the particle trajectory equations (Coppini et al, 2011;Zodiatis et al, 2012). Moreover, atmospheric forecast models provide surface winds for the transformation process, the surface current corrections and the computation of wind waves affecting the transport.…”

Section: Introductionmentioning

confidence: 99%

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MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting – Part 2: Numerical simulations and validations

et al. 2013

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Abstract. In this paper we use MEDSLIK-II, a Lagrangian marine surface oil spill model described in Part 1 , to simulate oil slick transport and transformation processes for realistic oceanic cases, where satellite or drifting buoys data are available for verification. The model is coupled with operational oceanographic currents, atmospheric analyses winds and remote sensing data for initialization. The sensitivity of the oil spill simulations to several model parameterizations is analyzed and the results are validated using surface drifters, SAR (synthetic aperture radar) and optical satellite images in different regions of the Mediterranean Sea. It is found that the forecast skill of Lagrangian trajectories largely depends on the accuracy of the Eulerian ocean currents: the operational models give useful estimates of currents, but high-frequency (hourly) and high-spatial resolution is required, and the Stokes drift velocity has to be added, especially in coastal areas. From a numerical point of view, it is found that a realistic oil concentration reconstruction is obtained using an oil tracer grid resolution of about 100 m, with at least 100 000 Lagrangian particles. Moreover, sensitivity experiments to uncertain model parameters show that the knowledge of oil type and slick thickness are, among all the others, key model parameters affecting the simulation results. Considering acceptable for the simulated trajectories a maximum spatial error of the order of three times the horizontal resolution of the Eulerian ocean currents, the predictability skill for particle trajectories is from 1 to 2.5 days depending on the specific current regime. This suggests that re-initialization of the simulations is required every day.

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Section: Published By Copernicus Publications On Behalf Of the Europementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting – Part 2: Numerical simulations and validations

et al. 2013

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“…This analysis allowed us also to note that the detected anomalies are localized in the same area where the oil spill was independently (e.g. REMPEC, 2006;Coppini et al, 2010) mapped from in-situ and satellite observations made by optical (e.g. EOS-MODIS) and SAR (ENVISAT-ASAR) sensors with a noticeable correlation with the forecast made by models like CYCOFOS (http://www.oceanography.ucy.…”

Section: Resultsmentioning

confidence: 95%

An improved RST approach for timely alert and Near Real Time monitoring of oil spill disasters by using AVHRR data

Grimaldi

Casciello

Coviello

et al. 2011

Nat. Hazards Earth Syst. Sci.

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Abstract. Information acquired and provided in Near RealTime is fundamental in contributing to reduce the impact of different sea pollution sources on the maritime environment. Optical data acquired by sensors aboard meteorological satellites, thanks to their high temporal resolution as well as to their delivery policy, can be profitably used for a Near Real Time sea monitoring, provided that accurate and reliable methodologies for analysis and investigation are designed, implemented and fully assessed.In this paper, the results achieved by the application of an improved version of RST (Robust Satellite Technique) to oil spill detection and monitoring will be shown. In particular, thermal infrared data acquired by the NOAA-AVHRR (National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer) have been analyzed and a new RST-based change detection index applied to the case of the oil spills that occurred off the Kuwait and Saudi Arabian coasts in January 1991 and during the Lebanon War in July 2006.The results obtained, even in comparison with those achieved by other AVHRR-based techniques, confirm the unique performance of the proposed approach in automatically detecting the presence of oil spill with a high level of reliability and sensitivity. Moreover, the potential of the extension of the proposed technique to sensors onboard geostationary satellites will be discussed within the context of oil spill monitoring systems, integrating products generated by high temporal (optical) and high spatial (radar) resolution satellite systems.

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“…Further examples of operational forecasting system for developing proper response strategies to oil spill emergencies were available during the Prestige oil spill crisis (Galicia coast, Spain, 2002) (Carracedo et al 2006;Castanedo et al 2006;Lermusiaux et al 2007). In the Mediterranean Sea, an oil-spill decision-support system was developed during the largest oil-release accident in the Eastern Mediterranean, the Lebanese oil-pollution crisis, which occurred in mid-July 2006 (Coppini et al 2011). During the recent largest accidental marine oil spill in the history of the petroleum industry, effective oil spill monitoring and modeling systems were critical to the rapid responses achieved for the Deepwater Horizon event (Gulf of Mexico, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…The oil spill model used in this work is MEDSLIK-II (De Dominicis et al 2013a) that is able to simulate the transport of surface drifters or the transport, diffusion, and transformations of a surface oil slick. It has been used extensively in the past to simulate oil spill accidents (Coppini et al 2011) and/or drifter trajectories (De Dominicis et al 2013b), and it proved to be reliable in short-term forecasting.…”

Section: Introductionmentioning

confidence: 99%

A relocatable ocean model in support of environmental emergencies

et al. 2014

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During the Costa Concordia emergency case, regional, subregional, and relocatable ocean models have been used together with the oil spill model, MEDSLIK-II, to provide ocean currents forecasts, possible oil spill scenarios, and drifters trajectories simulations. The models results together with the evaluation of their performances are presented in this paper. In particular, we focused this work on the implementation of the Interactive RElo- Concordia emergency and on its validation using drifters released in the area of the accident. It is shown that thanks to the capability of improving easily and quickly its configuration, the IRENOM results are of greater accuracy than the results achieved using regional or subregional model products. The model topography, the initialization procedures, and the horizontal resolution are the key model settings to be configured. Furthermore, the IRENOM currents and the MEDSLIK-II simulated trajectories showed to be sensitive to the spatial resolution of the meteorological fields used, providing higher prediction skills with higher resolution wind forcing.

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Hindcast of oil-spill pollution during the Lebanon crisis in the Eastern Mediterranean, July–August 2006

Cited by 97 publications

References 21 publications

MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting – Part 2: Numerical simulations and validations

MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting – Part 2: Numerical simulations and validations

An improved RST approach for timely alert and Near Real Time monitoring of oil spill disasters by using AVHRR data

A relocatable ocean model in support of environmental emergencies

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