Trajectory modelling for hypothetical oil spill in Odisha offshore, India

Pradhan, Binapani; Das, M.; Pradhan, Chinmay

doi:10.1007/s12040-022-01946-6

Cited by 6 publications

(4 citation statements)

References 32 publications

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“…Since GNOME can integrate any ocean-circulation and meteorologic model that supports forecasts in various file formats, as well as observational data, NOAA has created the GNOME Operational Oceanographic Data Server (https://gnome.orr.noaa.gov/goods, accessed on 10 April 2023), a publicly accessible system that provides access to all available driver models and data sources. Moreover, GNOME has been applied in many regions over the latest years, such as Indonesia [63], the Gulf of Suez in Egypt [64], offshore Odisha in India [65], and the Red Sea in Egypt [66].…”

Section: The Oil Spill Modelsmentioning

confidence: 99%

“…NCEP-GRF produces forecasts at three spatial resolutions of 0.25 • , 0.5 • , and 1 • (https://www.nco.ncep.noaa.gov/pmb/ products/gfs/, accessed on 12 March 2023) covering the whole globe [78]. Most oil-spill models have been forced with the 0.25 • horizontal resolution (Table 1) [39,45,65,78]. The temporal resolution of GFS is 3 h and the NCEP contains wind velocity of 10 m above sea level, for the entire Earth [79].…”

Section: Wind Fieldsmentioning

confidence: 99%

“…The hydrodynamic model, Hybrid Coordinate Ocean Model (HYCOM; hycom.org), uses as outer model the operational GLoBal HYCOM (GLB-HYCOM) with horizontal resolution 1/12 • (approximately 9 km) and 32 vertical layers (https://www.nrl.navy.mil/, accessed on 15 March 2023) [126]. The GLB-HYCOM model has been used in oil-spill simulations, as in the case of a Brazilian oil-spill model implementation, using the Spill, Transport, and Fate Model (STFM) [39], and in offshore India, coupled with GNOME [65]. In the Gulf of Mexico, the Gom-HYCOM model has 1/25 • horizontal resolution, vertical resolution of 20 hybrid layers, and current predictions every 3 h [127].…”

Section: Hydrodynamicsmentioning

confidence: 99%

“…The MEDSLIK applications used hydrodynamic data from CYCOFOS, with a 2 km spatial resolution [53,56]. At the same time, GNOME users developed oil-spill simulations using variable hydrodynamic forcings: (a) the GLO-CPL (1/4 • ) [64], (b) the CMEMS-Global (1/12 • ) [63], (c) the GLB-HYCOM (1/12 • ) [65], and (d) the high-resolution ocean model CROCO (1 km) [63], in which the wind was constant. The SIMAP model has been coupled to various hydrodynamic forcing data, with various resolutions, such as the GoM-HYCOM 1/25 • , GoM-HYCOM Reanalysis (1/25 • ), GoM-HYCOM Real-time (1/25 • ), SABGOM (5 km), IAS ROMS (6 km), NCOM Real Time (3 km), and NGOM (5-6 km), by French-McCay et al [60,62].…”

Section: Hydrodynamicsmentioning

confidence: 99%

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Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

Keramea

Kokkos

Zodiatis

et al. 2023

JMSE

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Oil spills may have devastating effects on marine ecosystems, public health, the economy, and coastal communities. As a consequence, scientific literature contains various up-to-date, advanced oil spill predictive models, capable of simulating the trajectory and evolution of an oil slick generated by the accidental release from ships, hydrocarbon production, or other activities. To predict in near real time oil spill transport and fate with increased reliability, these models are usually coupled operationally to synoptic meteorological, hydrodynamic, and wave models. The present study reviews the available different met-ocean forcings that have been used in oil-spill modeling, simulating hypothetical or real oil spill scenarios, worldwide. Seven state-of-the-art oil-spill models are critically examined in terms of the met-ocean data used as forcing inputs in the simulation of twenty-three case studies. The results illustrate that most oil spill models are coupled to different resolution, forecasting meteorological and hydrodynamic models, posing, however, limited consideration in the forecasted wave field (expressed as the significant wave height, the wave period, and the Stokes drift) that may affect oil transport, especially at the coastal areas. Moreover, the majority of oil spill models lack any linkage to the background biogeochemical conditions; hence, limited consideration is given to processes such as oil biodegradation, photo-oxidation, and sedimentation. Future advancements in oil-spill modeling should be directed towards the full operational coupling with high-resolution atmospheric, hydrodynamic, wave, and biogeochemical models, improving our understanding of the relative impact of each physical and oil weathering process.

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