Scientists analyzed spectral images of surface oil slicks and proposed a new method to determine oil distribution and thickness when high resolution imagery is not available.
Scientists completed a regionally comprehensive analysis of impacts and recovery from Deepwater Horizon oiling in Louisiana’s Barataria Bay sediment-dwelling infaunal community (microalgae and small multi-cellular animals).
Scientists used 3D regional ocean model simulations and sediment trap data to investigate how large (mesoscale) and small (submesoscale) circulations affect the transport of sinking particles, or marine snow, in the northern Gulf of Mexico. Small-scale convergence and divergence processes (a few kilometers) and cross-shore transport of riverine inputs induced by mesoscale eddies significantly influenced the speed and trajectory of sinking particles in offshore waters.
Scientists developed a modeling framework that includes small-scale fluid dynamics to investigate how dispersant application during Deepwater Horizon may have affected oil biodegradation and the environment.
Researchers combined detailed observations, laboratory experiments, and existing numerical models to develop the Texas A&M Oil Spill (Outflow) Calculator (TAMOC) and improve predictions of subsea oil and gas plume dynamics.
Scientists developed a two-stage algorithm that identified the status of drogues attached to ocean drifters deployed during the Lagrangian Submesoscale Experiment (LASER).
Researchers conducted mesocosm experiments that simulated beach ecosystems to assess if razor clams, which are bioturbators, can influence environmental conditions and the fate of polycyclic aromatic hydrocarbons (PAHs).
Researchers provided some of the first descriptions of the feeding habits of eight deep-sea fishes using dietary tracers (stable isotopes), offering insight into the trophic structure of deep-sea ecosystems and informing ecosystem-based modeling.
Researchers analyzed high-definition imagery of over three hundred deep-sea coral colonies from 2011 – 2017 to quantify their recovery from the oil spill.
Researchers developed the first detailed numerical model for predicting the conditions under which marine oil snow aggregates form and the amount of oil they transport to the ocean floor.