GoMRI
Investigating the effect of oil spills
on the environment and public health.
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Funding Source: Year 8-10 Research Grants (RFP-VI)

Project Publications & Presentations

Inferential/Parametric Forecasting of Subsurface Oil Trajectory Integrating Limited Reconnaissance Data with Flow Field Information for Emergency Response

Journal Articles - 6

2021

Ainsworth, C., Chassignet, E., French-McCay, D., Beegle-Krause, C., Berenshtein, I., Englehardt, J., Fiddaman, T., Huang, H., Huettel, M., Justic, D., Kourafalou, V., Liu, Y., Mauritzen, C., Murawski, S., Morey, S., Özgökmen, T., Paris, C., Ruzicka, J., Saul, S., . . . Zheng, Y. (2021). Ten years of modeling the Deepwater Horizon oil spill. Environmental Modelling & Software, 142, 105070.

2020

Jacketti, M., Beegle-Krause, C., & Englehardt, J. D. (2020). A review on the sinking mechanisms for oil and successful response technologies. Marine Pollution Bulletin, 160, 111626.
Jacketti, M., Englehardt, J. D., & Beegle-Krause, C. (2020). Application of the SOSim v2 Model to Spills of Sunken Oil in Rivers. Journal of Marine Science and Engineering, 8(9), 729.
Ji, C., Beegle-Krause, C. J., & Englehardt, J. D. (2020). Formation, Detection, and Modeling of Submerged Oil: A Review. Journal of Marine Science and Engineering, 8(9), 642.
Ji, C., Englehardt, J. D., & Beegle-Krause, C. J. (2020). Design of Real—Time Sampling Strategies for Submerged Oil Based on Probabilistic Model Predictions. Journal of Marine Science and Engineering, 8(12), 984.

2019

Jacketti, M. J., C.; Englehardt, J. B., & C.J (2019). Development of the SOSim Model for Inferential Tracking of Subsurface Oil. Proceedings of the Forty-second AMOP Technical Seminar, Environment and Climate Change Canada, Ottawa, ON, Canada, 485-501.

Conference Presentations - 7

2020

Jacketti, M. E., & J.; Beegle-Krause, C. (2020). Development of a Predictive Bayesion Oil Spill Model for Tracking of Sunken Oil. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2020
Ji, C. E., & J.; Beegle-Krause, C. (2020). SOSim: A Probabilistic Bayesian Model for Submerged Oil Tracking. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2020

2019

Beegle-Krause, C. (2019). Historical Mystery subsurface oil layer in the Caribbean Sea. In 42nd AMOP Technical Seminar on Environmental Contamination and Response
Jacketti, M. E., J.; Beegle-Krause, C. J., & C (2019). Development of SOSim model for inferrential tracking of sunken oil. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2019
Jacketti, M. J., C.; Englehardt, J. B., & C.J (2019). Development of the SOSim Model for Inferential Tracking of Subsurface Oil. In 42nd AMOP Technical Seminar on Environmental Contamination and Response
Ji, C. E., J.; Beegle-Krause, C. J., & M (2019). Inferential forecasting of submerged oil trajectory: a predictive Bayesian multi-modal Gaussian model. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2019

2018

Jacketti, M. J., & C.; Englehardt, J. (2018). Inferential/Parametric Forecasting of Subsurface Oil Trajectory Integrating Limited Reconnaissance Data with Flow Field Information for Emergency Response. In First Annual University of Miami College of Engineering (UMCoE) Research Day
This research was made possible by a grant from The Gulf of Mexico Research Initiative.
www.gulfresearchinitiative.org