Deepwater Horizon Oil Spill Univ. North Carolina at Chapel Hill, Institute of Marine Sciences; Univ. Notre Dame, Computational Hydraulics Laboratory; Univ. Texas, Computational Hydraulics Group, ICES; Univ. Texas, Center for Space Research; Univ. Texas, Texas Advanced Computing Center; Seahorse Coastal Consulting; Web support provided by the Renaissance Computing Institute (RENCI), Univeristy of North Carolina at Chapel Hill Funding for this work was provided by: National Science Foundation TeraGrid National Science Foundation RAPID Grant—Office of Cyberinfrastructure Department of Homeland Security Science & Technology Directorate through the Center of Excellence for Natural Disasters, Coastal Infrastructure and Emergency Management (DIEM) The content does not necessarily represent the views of their agencies The visualization effort by TACC staff has been focused on the overlay of particle movement and satellite or aerial imaging data. The particles in the visualization represent the oil spill and their position is either hypothetical or reflect the position of the oil on the surface. The data has been visualized using Longhorn and MINERVA, which is an open source geospatial software. The data is generated daily and it's approximately 100 GB in size. |