# Early Perspectives on the Planned Brazilian Program to Address Ship-Sourced Pollution
## 2 Project Description
Its sixth version (MOM6), represents a significant advancement in the field, offering a highly flexible and accurate framework for simulating the ocean's physical state across a broad range of spatial and temporal scales. MOM6 is designed to resolve complex interactions among physical, biogeochemical, and ecosystem processes, seamlessly integrating phenomena from deep ocean basins to coastal regions and estuarine environments [19]. In Brazil, MOM6 has been widely utilized in several scientific and operational applications [73] as the oceanic component of the BESM. Most of them are related to climate change analysis [74], but are also used in high-resolution regional studies focused on the South Atlantic and the Brazilian coast [75]. The TELEMAC system ([[http://www.opentelemac.org](http://www.opentelemac.org)]([http://www.opentelemac.org](http://www.opentelemac.org)), acessed on 15 June 2025) is an advanced suite of hydrodynamic simulation tools developed by the French National Hydraulics and Environment Laboratory (EDF R&D), widely recognized for its flexibility in modeling shallow water flows, sediment transport, wave propagation, and water quality dynamics in coastal, estuarine, and riverine environments [20]. In Brazil, TELEMAC has been in applied research and engineering projects [76], such as morphodynamic studies of estuaries in the Amazon region, flood risk assessments in coastal cities, and hydrodynamic modeling of port areas along the Brazilian coast [77]. Recent Brazilian applications have integrated TELEMAC modules for simulating oil dispersion, salinity intrusion, and storm surge impacts in estuarine systems [78; 79]. When combined with MOM6, this coupling enables detailed, high-resolution simulations of coastal processes, bridging the gap between global-scale oceanographic dynamics and local-scale hydrodynamic responses required for operational systems like SisMOM. Given its historical integration with CPTEC systems and proven performance across South America, the ETA model emerges as the natural choice for the meteorological component of the SisMOM project. Its operational reliability, consistency in data assimilation pipelines, and optimized performance in simulating mesoscale features make it well-suited for supporting real-time emergency response needs. This compatibility not only guarantees a more accurate representation of wind and atmospheric forcing conditions, but also facilitates seamless interoperability with other components of the SisMOM architecture, such as the oceanographic models and oil spill forecast systems. Therefore, prioritizing the ETAmodel within SisMOM leverages INPE's existing expertise and infrastructure while maintaining the robustness required for high-stakes environmental monitoring applications. _Goal 6--provision of supercomputing and storage services to the multi-user system_  
The aim is to provide supercomputing resources for executing high-resolution forecast models and processing satellite data using artificial intelligence algorithms. Leveraging these computational capabilities, the system will deliver critical information to the interconnected situation rooms, facilitating data-driven decision-making in emergency response scenarios [1]. _Goal 7--study the feasibility of developing a rapid launch system for autonomous sensors for the detection and qualification of oil at sea_  
This goal aims to evaluate the feasibility of developing a rapid-response system using intelligent and autonomous sensors to verify potential oil spills identified by the operational modules of SisMOM. These sensors can be deployed on Remotely Operated Vehicles (ROV) or Unmanned low-altitude Aircraft Systems (UAS) to cover affected areas in detail, complementing satellite detections. Furthermore, autonomous systems must be equipped with robust processing capabilities to perform real-time analysis and decision-making in the field, especially in situations where communication with ground stations is intermittent.