GoMRI
Investigating the effect of oil spills
on the environment and public health.
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Omar M. Knio

Duke University

Department of Mechanical Engineering and Materials Science

Box 90300
Hudson Hall
Durham, NC  27708-028  

omk@duke.edu

Project List:

Consortium for Advanced Research on Transport of Hydrocarbon in the Environment II (CARTHE II)

Year 5-7 Consortia Grants (RFP-IV)Role: Co-Principal Investigator, Task Co-Lead

Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE)

Year 2-4 Consortia Grants (RFP-I)Role: Research Scientist

Publications & Presentations:

Journal Articles - 11

2018

Wang, S., Li, G., Iskandarani, M., Le Hénaff, M., & Knio, O. M. (2018). Verifying and assessing the performance of the perturbation strategy in polynomial chaos ensemble forecasts of the circulation in the Gulf of Mexico. Ocean Modelling, 131, 59–70.

2017

Siripatana, A., Mayo, T., Sraj, I., Knio, O., Dawson, C., Le Maitre, O., et al. (2017). Assessing an ensemble Kalman filter inference of Manning's n coefficient of an idealized tidal inlet against a polynomial chaos-based MCMC. Ocean Dynamics, 67(8), 1067–1094.

2016

Goncalves, R., Iskandarani, M., Srinivasan, A., Thacker, W. C., Chassignet, E., & Knio, O. M. (2016). A framework to quantify uncertainty in simulations of oil transport in the ocean. J. Geophys. Res. Oceans, 121(4), 2058–2077.
Iskandarani, M., Le Hénaff, M., Thacker, W. C., Srinivasan, A., & Knio, O. M. (2016). Quantifying uncertainty in Gulf of Mexico forecasts stemming from uncertain initial conditions. J. Geophys. Res. Oceans, 121(7), 4819–4832.
Iskandarani, M., Wang, S., Srinivasan, A., Carlisle Thacker, W., Winokur, J., & Knio, O. M. (2016). An overview of uncertainty quantification techniques with application to oceanic and oil-spill simulations. J. Geophys. Res. Oceans, 121(4), 2789–2808.
Li, G., Iskandarani, M., Le Henaff, M., Winokur, J., Le Maître, O. P., & Knio, O. (2016). Quantifying initial and wind forcing uncertainties in the Gulf of Mexico. Computational Geosciences, 20(5), 1133–1153.
Wang, S., Iskandarani, M., Srinivasan, A., Thacker, W. C., Winokur, J., & Knio, O. M. (2016). Propagation of uncertainty and sensitivity analysis in an integral oil-gas plume model: UQ IN AN OIL PLUME MODEL. J. Geophys. Res. Oceans, 121(5), 3488–3501.

2015

Thacker, W. C., Iskandarani, M., Goncalves, R. C., Srinivasan, A., & Knio, O. M. (2015). Pragmatic aspects of uncertainty propagation: A conceptual review. Ocean Modelling, 95, 25–36.

2014

Sraj, I., Iskandarani, M., Thacker, W. C., Srinivasan, A., & Knio, O. M. (2014). Drag Parameter Estimation Using Gradients and Hessian from a Polynomial Chaos Model Surrogate. Mon. Wea. Rev., 142(2), 933–941.

2013

Sraj, I., Iskandarani, M., Srinivasan, A., Thacker, W. C., Winokur, J., Alexanderian, A., et al. (2013). Bayesian Inference of Drag Parameters Using AXBT Data from Typhoon Fanapi. Mon. Wea. Rev., 141(7), 2347–2367.
Winokur, J., Conrad, P., Sraj, I., Knio, O. M., Srinivasan, A., Thacker, W. C., et al. (2013). A Priori Testing of Sparse Adaptive Polynomial Chaos Expansions Using an Ocean General Circulation Model Database. Comput Geosci, 17(6), 899–911.

Conference Presentations - 4

2013

Iskandarani, M., Srinivasan, A., Le Henaff, M., Thacker, W. C., & Knio, O. M. (2013). Coastal Models of Oil Transport in the Gulf of Mexico under Normal and Extreme Conditions. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2013. New Orleans, LA: 01/21/2013-01/23/2013.
Iskandarani, M., Srinivasan, A., Le Henaff, M., Thacker, W. C., & Knio, O. M. (2013). Quantifying Initial Conditions Uncertainties in a Gulf of Mexico HYCOM Ocean Forecast. In CARTHE Spring Meeting. Miami, FL, May 29-31, 2013.
Iskandarani, M., Srinivasan, A., Le Henaff, M., Thacker, W. C., & Knio, O. M. (2013). Application of Polynomial Chaos Methods to Ocean Modeling. In SIAM Annual Meeting. San Diego, CA, July 8-12, 2013.

2012

Srinivasan, A., Iskandarani, M., Carlisle, W. C., & Knio, O. (2012). Data Assimilation using Polynomial Expansions. In International Meeting on Ensemble Methods in Geophysical Sciences. Toulouse, France, November 12-16, 2012.