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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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