Assimilation of satellite observations in support of hydrocarbon fate forecasting in the Cuban EEZ
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Abstract
The initialization of the runs of the numerical model of lagrangian approach PETROMAR-3D, from SAR images, is shown. With this new feature, the model is prepared to give operational response to an oil pollution event in the seas around Cuba. The oil slick polygon outputs of the SeonSE Engine and SNAP-ESA satellite information processing tools were used, developing new functions and Python libraries in the PETROMAR-3D software. With this result, a semi-automatic oil slick surveillance and monitoring service was developed in the seas around Cuba, with the computer tools of satellite data processing and the PETROMAR-3D Lagrangian oil spill model. With this service, users receive the information through a first email from the moment the slick is detected, and then receive another one with the oil drift modeling map for 72 hours. For this purpose, a script was developed that runs automatically through a scheduled task in the operating system, and handles all the software applications of the system designed with new Python functions and libraries.
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