Support to oil spill emergencies in the Bonifacio Strait, western Mediterranean

Cucco, Andrea; Ribotti, Alberto; Olita, Antonio; Fazioli, Leopoldo; Sorgente, B.; Sinerchia, Matteo; Satta, Andrea; Perilli, Angelo; Borghini, Mireno; Schröeder, Katrin; Sorgente, Roberto

doi:10.5194/os-8-443-2012

Cited by 11 publications

(5 citation statements)

References 20 publications

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“…A spin-up time of 3 days appears to be a reasonable choice to ensure the development of internal dynamics by the nested model. This choice was adopted also by other authors implementing high-resolution models in re-initialized mode both on large and coastal scale (Rolinski and Umgiesser, 2005;Cucco et al, 2012;Trotta et al, 2016) and also on the harbour scale (Gaeta et al, 2016, in this issue). We conclude that a spin-up period of 3 days combined with active tracers and hydrodynamic initialization is the optimal choice for SANIFS initialization.…”

Section: Initialization Procedures and Spin-up Timementioning

confidence: 99%

“…14b) the large-scale anticyclonic gyre (G1) in the Gulf of Taranto became more intense (velocity peak of 0.2 m s −1 ) and more extended, also covering the shelfcoastal areas and causing the three cyclonic vortices to vanish. The Gulf of Taranto circulation structure seems to affect the WACC (Artegiani et al, 1997a, b;Cushman-Roisin et al, 2001) entrance in the gulf and along the Apulia coasts: in the case of a weaker G1, the WACC is reversed and it restarts when the G1 is stronger, isolating the Gulf of Taranto circulation from the rest of the domain. Figure 15 describes the daily mean surface and bottom circulation in Mar Grande for the 5 October (CHS survey).…”

Section: Simulation Tests On a Coastal-harbour Scalementioning

confidence: 99%

See 1 more Smart Citation

Coastal ocean forecasting with an unstructured-grid model in the Southern Adriatic Northern Ionian Sea

Federico¹,

Pinardi²,

Coppini³

et al. 2016

Preprint

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Abstract. SANIFS (Southern Adriatic Northern Ionian coastal Forecasting System) is a coastal-ocean operational system based on the unstructured-grid finite-element three-dimensional hydrodynamic SHYFEM model and providing short-term forecasts. The operational chain is based on a downscaling approach starting from the large-scale system for the entire Mediterranean basin (MFS, Mediterranean Forecasting system), which provides initial and boundary condition fields to the nested system. The model is configured to provide hydrodynamics and active tracer forecasts both in open ocean and coastal waters of South-eastern Italy using a variable horizontal resolution from 3–4 km in the open sea to 500–50 m in the coastal areas. Given that the coastal fields are driven by a combination of both local/coastal and deep ocean forcings propagating along the shelf, the performance of SANIFS was verified both in forecast and simulation mode, first (i) at the large and shelf-coastal scales by comparing with a large scale survey CTD in the Gulf of Taranto and then (ii) at the coastal-harbour scale (Mar Grande of Taranto) by comparison with CTD, ADCP and tide gauge data. Sensitivity tests were performed on initialization conditions (mainly focused on spin-up procedures) and on surface boundary conditions by assessing the reliability of two alternative datasets at different horizontal resolution (12.5 and 6.5 km). The SANIFS forecasts at a lead-time of one day were compared with the MFS forecasts highlighting that SANIFS is able to retain the large scale dynamics of MFS. Those get correctly propagated to the shelf-coastal scale improving the forecast accuracy (+17 % for temperature and +6 % for salinity compared to MFS). Moreover the added value of SANIFS was assessed at coastal-harbour scale, which is not covered by the coarse resolution of MFS, where the SANIFS forecasted fields well reproduced the observations (temperature RMSE equal to 0.11 °C). Furthermore SANIFS simulations were compared with hourly time-series of temperature, sea level and velocity measured at the coastal-harbour scale showing a good agreement. Simulations in the Gulf of Taranto described a circulation mainly characterized by an anticyclonic gyre with the presence of cyclonic vortexes in shelf-coastal areas. A surface water inflow from open sea to Mar Grande characterizes the coastal-harbour scale.

show abstract

Section: Initialization Procedures and Spin-up Timementioning

confidence: 99%

Section: Simulation Tests On a Coastal-harbour Scalementioning

confidence: 99%

Coastal ocean forecasting with an unstructured-grid model in the Southern Adriatic Northern Ionian Sea

Federico¹,

Pinardi²,

Coppini³

et al. 2016

Preprint

View full text Add to dashboard Cite

show abstract

“…The numerical system developed for the project "SOS-Piattaforme e Impatti Offshore" is based on what was experienced in past projects like Development of TEcnologies for Situational Sea Awareness (TESSA) [19,20], Mediterranean Decision Support System per la Marine Safety (MEDESS-4MS) [8] and SOS-Bonifacio [1,2,15]. It is composed by nested hydrodynamic numerical models at different spatial scales, from the regional to the coastal, through a methodology known as downscaling [21][22][23].…”

Section: The Numerical Systemmentioning

confidence: 99%

“…The success of oil spill mitigation actions is closely dependent on the time necessary to detect the slick and predict its fate (i.e., slick displacement and dispersion), in order to permit governmental response agencies in planning and providing a specific and timely intervention at sea. The oil slick detection can be done in situ or by satellite, while its forecast is usually performed through more or less complex systems of numerical simulation with the application of empirical and semi-empirical algorithms, or the estimate of a surface water masses path starting from the intensity of winds [1][2][3][4][5][6]. The most advanced systems currently used incorporate both the weather-marine physical forcing and a Lagrangian module that reproduces trajectories, diffusion, and transformation processes of the oil slicks [7,8].…”

Section: Introductionmentioning

confidence: 99%

An Operational Marine Oil Spill Forecasting Tool for the Management of Emergencies in the Italian Seas

Ribotti

Antognarelli

Cucco

et al. 2018

JMSE

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Oil extraction platforms are potential sources of oil spills. For this reason, an oil spill forecasting system was set up to support the management of emergencies from the oil fields in the Italian seas. The system provides ready-to-use products to the relevant response agencies and optimizes the anti-pollution resources by assessing hazards and risks related to this issue. The forecasting system covers seven working oil platforms in the Sicily Channel and middle/low Adriatic Sea. It is composed of a numerical chain involving nested ocean models from regional to coastal spatial scales and an oil spill model. The system provides two online services, one automatic and a second dedicated to possible real emergencies or exercises on risk preparedness and responding. The automatic service produces daily short-term simulations of hypothetical oil spill dispersion, transport, and weathering processes from each extraction platform. Products, i.e., risk maps, animations, and a properly called bulletin, are available on a dedicated web-portal. The hazard estimations are computed by performing geo-statistical analysis on the daily forecasts database. The second service is activated in near-real-time producing oil spill simulations for the following 48 h.

show abstract

“…This choice was adopted also by other authors implementing high-resolution models in re-initialized mode both on large and coastal scale (Rolinski and Umgiesser, 2005;Cucco et al, 2012;Trotta et al, 2016) and also on the harbour scale (Gaeta et al, 2016, in this issue). We conclude that a spin-up period of 3 days combined with active tracers and hydrodynamic initialization is the optimal choice for SANIFS initialization.…”

Section: Initialization Procedures and Spin-up Timementioning

confidence: 99%

Coastal ocean forecasting with an unstructured grid model in the southern Adriatic and northern Ionian seas

Federico

Pinardi

Coppini

et al. 2017

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. SANIFS (Southern Adriatic Northern Ionian coastal Forecasting System) is a coastal-ocean operational system based on the unstructured grid finite-element threedimensional hydrodynamic SHYFEM model, providing short-term forecasts. The operational chain is based on a downscaling approach starting from the large-scale system for the entire Mediterranean Basin (MFS, Mediterranean Forecasting System), which provides initial and boundary condition fields to the nested system.The model is configured to provide hydrodynamics and active tracer forecasts both in open ocean and coastal waters of southeastern Italy using a variable horizontal resolution from the open sea (3-4 km) to coastal areas (50-500 m).Given that the coastal fields are driven by a combination of both local (also known as coastal) and deep-ocean forcings propagating along the shelf, the performance of SAN-IFS was verified both in forecast and simulation mode, first (i) on the large and shelf-coastal scales by comparing with a large-scale survey CTD (conductivity-temperature-depth) in the Gulf of Taranto and then (ii) on the coastal-harbour scale (Mar Grande of Taranto) by comparison with CTD, ADCP (acoustic doppler current profiler) and tide gauge data.Sensitivity tests were performed on initialization conditions (mainly focused on spin-up procedures) and on surface boundary conditions by assessing the reliability of two alternative datasets at different horizontal resolution (12.5 and 6.5 km).The SANIFS forecasts at a lead time of 1 day were compared with the MFS forecasts, highlighting that SANIFS is able to retain the large-scale dynamics of MFS. The largescale dynamics of MFS are correctly propagated to the shelfcoastal scale, improving the forecast accuracy (+17 % for temperature and +6 % for salinity compared to MFS). Moreover, the added value of SANIFS was assessed on the coastalharbour scale, which is not covered by the coarse resolution of MFS, where the fields forecasted by SANIFS reproduced the observations well (temperature RMSE equal to 0.11 • C).Furthermore, SANIFS simulations were compared with hourly time series of temperature, sea level and velocity measured on the coastal-harbour scale, showing a good agreement. Simulations in the Gulf of Taranto described a circulation mainly characterized by an anticyclonic gyre with the presence of cyclonic vortexes in shelf-coastal areas. A surface water inflow from the open sea to Mar Grande characterizes the coastal-harbour scale.

show abstract

Support to oil spill emergencies in the Bonifacio Strait, western Mediterranean

Cited by 11 publications

References 20 publications

Coastal ocean forecasting with an unstructured-grid model in the Southern Adriatic Northern Ionian Sea

Coastal ocean forecasting with an unstructured-grid model in the Southern Adriatic Northern Ionian Sea

An Operational Marine Oil Spill Forecasting Tool for the Management of Emergencies in the Italian Seas

Coastal ocean forecasting with an unstructured grid model in the southern Adriatic and northern Ionian seas

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