Journal Articles - 3 |
2020 |
| 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 - 5 |
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 |
| 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 | |
