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Click here for a listing of our MIT papers. Click here for a full listing of all of our papers, separated into proceedings and articles.
Uncertainty Quantification and Reduced-Order Modeling
Uncertainty Quantification and Predictions
Papers in Refereed Journals
- Ali, W.H., and P.F.J. Lermusiaux, 2024b. Dynamically Orthogonal Narrow-Angle Parabolic Equations for Stochastic
Underwater Sound Propagation. Part II: Applications. Journal of the Acoustical Society of America 155(1), 656-672. doi:10.1121/10.0024474
- Ali, W.H., and P.F.J. Lermusiaux, 2024a. Dynamically Orthogonal Narrow-Angle Parabolic Equations for Stochastic Underwater Sound Propagation. Part I: Theory and Schemes. Journal of the Acoustical Society of America 155(1), 640-655. doi:10.1121/10.0024466
- Charous, A. and P.F.J. Lermusiaux, 2024. Stable Rank-adaptive Dynamically Orthogonal Runge-Kutta Schemes. SIAM Journal on Scientific Computing 46(1), A529-A560. doi:10.1137/22M1534948
- Charous, A. and P.F.J. Lermusiaux, 2023. Dynamically Orthogonal Runge–Kutta Schemes with Perturbative Retractions for the Dynamical Low-Rank Approximation. SIAM Journal on Scientific Computing 45(2): A872-A897. doi:10.1137/21M1431229
- Feppon, F. and P.F.J. Lermusiaux, 2019. The Extrinsic Geometry of Dynamical Systems Tracking Nonlinear Matrix Projections. SIAM Journal on Matrix Analysis and Applications, 40(2), 814–844. doi: 10.1137/18M1192780
- Subramani, D.N. and P.F.J. Lermusiaux, 2019. Risk-Optimal Path Planning in Stochastic Dynamic Environments. Computer Methods in Applied Mechanics and Engineering, 353, 391–415. doi:10.1016/j.cma.2019.04.033
- Moore, A.M., M. Martin, S. Akella, H. Arango, M. Balmaseda, L. Bertino, S. Ciavatta, B. Cornuelle, J. Cummings, S. Frolov,
P. Lermusiaux, P. Oddo, P.R. Oke, A. Storto, A. Teruzzi, A. Vidard, and A.T. Weaver, 2019. Synthesis of Ocean Observations using Data
Assimilation for Operational, Real-time and Reanalysis Systems: A More Complete Picture of the State of the Ocean. Frontiers
in Marine Science 6(90), 1–6. doi:10.3389/fmars.2019.00090
- Feppon, F. and P.F.J. Lermusiaux, 2018. Dynamically Orthogonal Numerical Schemes for Efficient Stochastic Advection and Lagrangian Transport. SIAM Review, 60(3), 595–625. doi:10.1137/16m1109394
- Feppon, F. and P.F.J. Lermusiaux, 2018. A Geometric Approach to Dynamical Model-Order Reduction. SIAM Journal on Matrix Analysis and Applications, 39(1), 510–538. doi:10.1137/16m1095202
- Subramani, D.N., Q.J. Wei, and P.F.J. Lermusiaux, 2018. Stochastic Time-Optimal Path-Planning in Uncertain, Strong, and Dynamic Flows. Computer Methods in Applied Mechanics and Engineering, 333, 218–237. doi:10.1016/j.cma.2018.01.004
- Sapsis, T.P., M.P. Ueckermann and P.F.J. Lermusiaux, 2013. Global Analysis of Navier-Stokes and Boussinesq Stochastic Flows using Dynamical Orthogonality, J. Fluid Mech., 734, 83-113. doi:10.1017/jfm.2013.458
- Sondergaard, T. and P.F.J. Lermusiaux, 2013b. Data Assimilation with Gaussian Mixture Models using the Dynamically Orthogonal Field Equations. Part II: Applications. Monthly Weather Review, 141, 6, 1761-1785, doi:10.1175/MWR-D-11-00296.1.
- Sondergaard, T. and P.F.J. Lermusiaux, 2013a. Data Assimilation with Gaussian Mixture Models using the Dynamically Orthogonal
Field Equations. Part I. Theory and Scheme. Monthly Weather Review, 141, 6, 1737-1760, doi:10.1175/MWR-D-11-00295.1.
- Ueckermann, M.P., P.F.J. Lermusiaux and T.P. Sapsis, 2013. Numerical Schemes for Dynamically Orthogonal Equations of Stochastic Fluid and Ocean Flows. J. Comp. Phys., 233, 272-294, doi: 10.1016/j.jcp.2012.08.041.
- Rixen, M., P.F.J. Lermusiaux and J. Osler, 2012. Quantifying, Predicting and Exploiting Uncertainties in Marine Environments, Ocean Dynamics, 62(3):495–499, doi: 10.1007/s10236-012-0526-8.
- Sapsis, T.P. and P.F.J. Lermusiaux, 2012. Dynamical criteria for the evolution of the stochastic dimensionality in flows with uncertainty. Physica D, 241(1), 60-76, doi:10.1016/j.physd.2011.10.001.
- Gawarkiewicz, G., S. Jan, P.F.J. Lermusiaux, J.L. McClean, L. Centurioni, K. Taylor, B. Cornuelle, T.F. Duda, J. Wang, Y.J. Yang, T. Sanford, R.-C. Lien, C. Lee, M.-A. Lee, W. Leslie, P.J. Haley Jr., P.P. Niiler, G. Gopalakrishnan, P. Velez-Belchi, D.-K. Lee, and Y.Y. Kim. 2011. Circulation and intrusions northeast of Taiwan: Chasing and predicting uncertainty in the cold dome. Oceanography, 24(4):110-121, http://dx.doi.org/10.5670/oceanog.2011.99.
- Evangelinos, C., P.F.J. Lermusiaux, J. Xu, P.J. Haley, and C.N. Hill, 2011. Many Task Computing for Real-Time Uncertainty Prediction and Data Assimilation in the Ocean. IEEE Transactions on Parallel and Distributed Systems, Special Issue on Many-Task Computing, I. Foster, I. Raicu and Y. Zhao (Guest Eds.), 22, doi: 10.1109/TPDS.2011.64.
- Lermusiaux, P.F.J., J. Xu, C.F. Chen, S. Jan, L.Y. Chiu and Y.-J. Yang, 2010. Coupled Ocean-Acoustic prediction of transmission loss in a continental shelfbreak region: predictive skill, uncertainty quantification and dynamical sensitivities. IEEE Transactions, Journal of Oceanic Engineering, 35(4) 895-916. doi:10.1109/JOE.2010.2068611.
- Cossarini, G., P.F.J. Lermusiaux, and C. Solidoro, 2009. Lagoon of Venice ecosystem: Seasonal dynamics and environmental guidance with uncertainty analyses and error subspace data assimilation, J. Geophys. Res., 114, C06026, doi:10.1029/2008JC005080.
- Haley, P.J. Jr., P.F.J. Lermusiaux, A.R. Robinson, W.G. Leslie, O. Logutov, G. Cossarini, X.S. Liang, P. Moreno, S.R. Ramp, J.D. Doyle, J. Bellingham, F. Chavez, S. Johnston, 2009. Forecasting and Reanalysis in the Monterey Bay/California Current Region for the Autonomous Ocean Sampling Network-II Experiment. Special issue on AOSN-II, Deep Sea Research, Part II. ISSN 0967-0645, doi: 10.1016/j.dsr2.2008.08.010.
- Wang, D., P.F.J. Lermusiaux, P.J. Haley, D. Eickstedt, W.G. Leslie and H. Schmidt, 2009. Acoustically Focused Adaptive Sampling and On-board Routing for Marine Rapid Environmental Assessment. Special issue of Journal of Marine Systems on "Coastal processes: challenges for monitoring and prediction", Drs. J.W. Book, Prof. M. Orlic and Michel Rixen (Guest Eds), 78, S393-S407, doi: 10.1016/j.jmarsys.2009.01.037.
- Sapsis, T.P. and P.F.J. Lermusiaux, 2009. Dynamically orthogonal field equations for continuous stochastic dynamical systems. Physica D, 238, 2347-2360, doi:10.1016/j.physd.2009.09.017.
- Lermusiaux, P.F.J, 2007. Adaptive Modeling, Adaptive Data Assimilation and Adaptive Sampling. Refereed invited manuscript. Special issue on "Mathematical Issues and Challenges in Data Assimilation for Geophysical Systems: Interdisciplinary Perspectives". C.K.R.T. Jones and K. Ide, Eds. Physica D, Vol 230, 172-196, doi:
10.1016/j.physd.2007.02.014.
- Heaney, K.D., G. Gawarkiewicz, T.F. Duda and P.F.J. Lermusiaux, 2007. Non-linear Optimization of Autonomous Undersea Vehicle Sampling Strategies for Oceanographic Data-Assimilation. Special issue on "Underwater Robotics", Journal of Field Robotics, 24(6), 437-448, doi:10.1002/rob.20183.
- Lermusiaux, P.F.J., 2006. Uncertainty Estimation and Prediction for Interdisciplinary Ocean Dynamics. Refereed manuscript, Special issue on "Uncertainty Quantification". J. Glimm and G. Karniadakis, Eds. Journal of Computational Physics, 217, 176-199. doi: 10.1016/j.jcp.2006.02.010.
- Lermusiaux, P.F.J., C.-S. Chiu, G.G. Gawarkiewicz, P. Abbot, A.R. Robinson, R.N. Miller, P.J. Haley, W.G. Leslie, S.J. Majumdar, A. Pang and F. Lekien, 2006. Quantifying Uncertainties in Ocean Predictions. Refereed invited manuscript. Oceanography, Special issue on "Advances in Computational Oceanography", T. Paluszkiewicz and S. Harper (Office of Naval Research), Eds., 19, 1, 92-105, doi: 10.5670/oceanog.2006.93.
- Lermusiaux, P.F.J., 2001. Evolving the subspace of the three-dimensional multiscale ocean variability: Massachusetts Bay. Journal of Marine Systems, Special issue on "Three-dimensional ocean circulation: Lagrangian measurements and diagnostic analyses", 29/1-4, 385-422, doi: 10.1016/S0924-7963(01)00025-2.
- Lermusiaux, P.F.J., D.G.M. Anderson and C.J. Lozano, 2000. On the mapping of multivariate geophysical fields: error and variability subspace estimates. The Quarterly Journal of the Royal Meteorological Society, April B, 1387-1430.
- Lermusiaux, P.F.J., 1999b. Estimation and study of mesoscale variability in the Strait of Sicily. Dynamics of Atmospheres and Oceans, 29, 255-303.
- Lermusiaux, P.F.J., 1999a. Data assimilation via Error Subspace Statistical Estimation. Part II: Middle Atlantic Bight shelfbreak front simulations and ESSE validation. Monthly Weather Review, 127(7), 1408-1432, doi: 10.1175/1520-0493(1999)127<1408:DAVESS>
2.0.CO;2.
- Lermusiaux, P.F.J. and A.R. Robinson, 1999. Data assimilation via Error Subspace Statistical Estimation. Part I: Theory and schemes. Monthly Weather Review, 127(7), 1385-1407,
doi: 10.1175/1520-0493(1999)
127<1385:DAVESS>2.0.CO;2.
Proceedings of Refereed Conferences
- Haley, Jr., P.J., C. Mirabito, M. Doshi, and P.F.J. Lermusiaux, 2023. Ensemble Forecasting for the Gulf of Mexico
Loop Current Region. In: OCEANS '23 IEEE/MTS Gulf Coast, 25–28 September 2023. doi:10.23919/OCEANS52994.2023.10337035
- Charous, A. and P.F.J. Lermusiaux, 2021. Dynamically Orthogonal Differential Equations for Stochastic and Deterministic Reduced-Order Modeling of Ocean Acoustic Wave Propagation. In: OCEANS '21 IEEE/MTS San Diego, 20-23 September 2021, pp. 1-7. doi:10.23919/OCEANS44145.2021.9705914
- Lermusiaux, P.F.J., C. Mirabito, P.J. Haley, Jr., W.H. Ali, A. Gupta, S. Jana, E. Dorfman, A. Laferriere, A. Kofford, G. Shepard, M. Goldsmith, K. Heaney, E. Coelho, J. Boyle, J. Murray, L. Freitag, and A. Morozov, 2020. Real-time Probabilistic Coupled Ocean Physics-Acoustics Forecasting and Data Assimilation for Underwater GPS. In: OCEANS '20 IEEE/MTS, 5-30 October 2020, pp. 1-9. doi:10.1109/IEEECONF38699.2020.9389003
- Lermusiaux, P.F.J., P.J. Haley, Jr., C. Mirabito, W.H. Ali, M. Bhabra, P. Abbot, C.-S. Chiu, and C. Emerson, 2020. Multi-resolution Probabilistic Ocean Physics-Acoustic Modeling: Validation in the New Jersey Continental Shelf. In: OCEANS '20 IEEE/MTS, 5-30 October 2020, pp. 1-9. doi:10.1109/IEEECONF38699.2020.9389193
- Ali, W.H., M.S. Bhabra, P.F.J. Lermusiaux, A. March, J.R. Edwards, K. Rimpau, and P. Ryu, 2019. Stochastic Oceanographic-Acoustic Prediction and Bayesian Inversion for Wide Area Ocean Floor Mapping. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi:10.23919/OCEANS40490.2019.8962870
- Dutt, A., D.N. Subramani, C.S. Kulkarni, and P.F.J. Lermusiaux, 2018. Clustering of Massive Ensemble of Vehicle Trajectories in Strong, Dynamic and Uncertain Ocean Flows. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8604634
- Wang, D., P.F.J. Lermusiaux, P.J. Haley, W.G. Leslie and H. Schmidt, 2006. Adaptive Acoustical-Environmental Assessment for the Focused Acoustic Field-05 At-sea Exercise, Oceans 2006, 6pp, Boston, MA, 18-21 Sept. 2006, doi: 10.1109/OCEANS.2006.306904.
- Lermusiaux, P.F.J. and F. Lekien, 2005. Dynamics and Lagrangian Coherent Structures in the Ocean and their Uncertainty. Extended Abstract in report of the "Dynamical System Methods in Fluid Dynamics" Oberwolfach Workshop. Jerrold E. Marsden and Jurgen Scheurle (Eds.), Mathematisches Forschungsinstitut Oberwolfach, July 31st - August 6th, 2005, Germany. 2pp.
- Lermusiaux, P.F.J., C.-S. Chiu and A.R. Robinson, 2002. Modeling Uncertainties in the Prediction of the Acoustic Wavefield in a Shelfbreak Environment. Refereed invited Manuscript, Proceedings of the 5th International conference on theoretical and computational acoustics, May 21-25, 2001. (Eds: E.-C. Shang, Q. Li and T.F. Gao), World Scientific Publishing Co., 191-200.
- Lermusiaux, P.F.J. and C.-S. Chiu, 2002. Four-dimensional data assimilation for coupled physical-acoustical fields. In "Acoustic Variability, 2002". N.G. Pace and F.B. Jensen (Eds.), Saclantcen. Kluwer Academic Press, 417-424.
- Lermusiaux, P.F.J., A.R. Robinson, P.J. Haley and W.G. Leslie, 2002. Advanced interdisciplinary data assimilation: Filtering and smoothing via error subspace statistical estimation. Proceedings of "The OCEANS 2002 MTS/IEEE" conference, Holland Publications, 795-802.
- Robinson, A.R., P. Abbot, P.F.J. Lermusiaux and L. Dillman, 2002. Transfer of uncertainties through physical-acoustical-sonar end-to-end systems: A conceptual basis. In "Acoustic Variability, 2002:. N.G. Pace and F.B. Jensen (Eds.), SACLANTCEN. Kluwer Academic Press, 603-610.
Reduced-Order Modeling
Papers in Refereed Journals
- Charous, A. and P.F.J. Lermusiaux, 2024. Range-Dynamical Low-Rank Split-Step Fourier Method for the Parabolic Wave Equation. Journal of the Acoustical Society of America 156(4): 2903-2920. doi:10.1121/10.0032470
- Charous, A. and P.F.J. Lermusiaux, 2024. Stable Rank-adaptive Dynamically Orthogonal Runge-Kutta Schemes. SIAM Journal on Scientific Computing 46(1), A529-A560. doi:10.1137/22M1534948
- Gupta, A., and P.F.J. Lermusiaux, 2023. Generalized Neural Closure Models with Interpretability. Scientific Reports 13, 10364. doi:10.1038/s41598-023-35319-w
- Charous, A. and P.F.J. Lermusiaux, 2023. Dynamically Orthogonal Runge–Kutta Schemes with Perturbative Retractions for the Dynamical Low-Rank Approximation. SIAM Journal on Scientific Computing 45(2): A872-A897. doi:10.1137/21M1431229
- Lin, J. and P.F.J. Lermusiaux, 2021. Minimum-Correction Second-Moment Matching: Theory, Algorithms and Applications. Numerische Mathematik 147(3): 611–650. doi:10.1007/s00211-021-01178-8
- Feppon, F. and P.F.J. Lermusiaux, 2019. The Extrinsic Geometry of Dynamical Systems Tracking Nonlinear Matrix Projections. SIAM Journal on Matrix Analysis and Applications, 40(2), 814–844. doi: 10.1137/18M1192780
- Feppon, F. and P.F.J. Lermusiaux, 2018. Dynamically Orthogonal Numerical Schemes for Efficient Stochastic Advection and Lagrangian Transport. SIAM Review, 60(3), 595–625. doi:10.1137/16m1109394
- Feppon, F. and P.F.J. Lermusiaux, 2018. A Geometric Approach to Dynamical Model-Order Reduction. SIAM Journal on Matrix Analysis and Applications, 39(1), 510–538. doi:10.1137/16m1095202
Proceedings of Refereed Conferences
- Ryu, T., W.H. Ali, P.J. Haley, Jr., C. Mirabito, A. Charous, and P.F.J. Lermusiaux, 2022. Incremental Low-Rank Dynamic Mode Decomposition Model for Efficient Dynamic Forecast Dissemination and Onboard Forecasting. In: OCEANS '22 IEEE/MTS Hampton Roads, 17–20 October 2022, pp. 1–8. doi:10.1109/OCEANS47191.2022.9977224
- Ryu, T., J.P. Heuss, P.J. Haley, Jr., C. Mirabito, E. Coelho, P. Hursky, M.C. Schönau, K. Heaney, and P.F.J. Lermusiaux, 2021. Adaptive Stochastic Reduced Order Modeling for Ocean Autonomous Platforms. In: OCEANS '21 IEEE/MTS San Diego, 20-23 September 2021, pp. 1-9. doi:10.23919/OCEANS44145.2021.9705790
- Heuss, J.P., P.J. Haley, Jr., C. Mirabito, E. Coelho, M.C. Schönau, K. Heaney, and P.F.J. Lermusiaux, 2020. Reduced Order Modeling for Stochastic Prediction Onboard Autonomous Platforms at Sea. In: OCEANS '20 IEEE/MTS, 5-30 October 2020, pp. 1-10, doi:10.1109/IEEECONF38699.2020.9389149
Science of Autonomy
Optimal Path Planning
Papers in Refereed Journals
- Lolla, T. and P.F.J. Lermusiaux, 2025. A Forward Reachability Equation for Minimum-Time Path Planning in Strong Dynamic Flows. SIAM Journal on Control and Optimization, sub-judice.
- Pereira, E., M. Tieppo, J. Faria, D. Hart, P. Lermusiaux, and the K2D Project Team, 2023. Subsea Cables as Enablers of a Next Generation Global Ocean Sensing System. Oceanography 36(Supplement 1). doi:10.5670/oceanog.2023.s1.22. Special issue: "Frontiers in Ocean Observing: Emerging Technologies for Understanding and Managing a Changing Ocean"
- Doshi, M.M., M.S. Bhabra, and P.F.J. Lermusiaux, 2023. Energy-Time Optimal Path Planning in Dynamic Flows: Theory and Schemes. Computer Methods in Applied Mechanics and Engineering 405: 115865. doi:10.1016/j.cma.2022.115865
- Cococcioni, M., L. Fiaschi, and P.F.J. Lermusiaux, 2021. Game Theory for Unmanned Vehicles Path Planning in the Marine Domain: State of the Art and New Possibilities. Journal of Marine Science and Engineering 9(11), 1175. doi:10.3390/jmse9111175. Special Issue on Machine Learning and Remote Sensing in Ocean Science and Engineering.
- Mannarini, G., D.N. Subramani, P.F.J. Lermusiaux, and N. Pinardi, 2020. Graph-Search and Differential Equations for Time-Optimal Vessel Route Planning in Dynamic Ocean Waves, IEEE Transactions on Intelligent Transportation Systems 21(8), 3581-3593, doi:10.1109/TITS.2019.2935614
- Kulkarni, C.S. and P.F.J. Lermusiaux, 2020. Three-Dimensional Time-Optimal Path Planning in the Ocean, Ocean Modelling, 152, 101644. doi:10.1016/j.ocemod.2020.101644
- Subramani, D.N. and P.F.J. Lermusiaux, 2019. Risk-Optimal Path Planning in Stochastic Dynamic Environments. Computer Methods in Applied Mechanics and Engineering, 353, 391–415. doi:10.1016/j.cma.2019.04.033
- Moore, A.M., M. Martin, S. Akella, H. Arango, M. Balmaseda, L. Bertino, S. Ciavatta, B. Cornuelle, J. Cummings, S. Frolov,
P. Lermusiaux, P. Oddo, P.R. Oke, A. Storto, A. Teruzzi, A. Vidard, and A.T. Weaver, 2019. Synthesis of Ocean Observations using Data
Assimilation for Operational, Real-time and Reanalysis Systems: A More Complete Picture of the State of the Ocean. Frontiers
in Marine Science 6(90), 1–6. doi:10.3389/fmars.2019.00090
- Gil, Y., S.A. Pierce, H. Babaie, A. Banerjee, K. Borne, G. Bust, M. Cheatham, I. Ebert-Uphoff, C. Gomes, M. Hill, J. Horel, L. Hsu, J. Kinter, C. Knoblock, D. Krum, V. Kumar, P.F.J. Lermusiaux, Y. Liu, C. North, V. Pankratius, S. Peters, B. Plale, A. Pope, S. Ravela, J. Restrepo, A. Ridley, H. Samet, and S. Shekhar, 2019. Intelligent Systems for Geosciences: An Essential Research Agenda. Communications of the ACM, 62(1), 76–84. doi:10.1145/3192335
- Subramani, D.N., Q.J. Wei, and P.F.J. Lermusiaux, 2018. Stochastic Time-Optimal Path-Planning in Uncertain, Strong, and Dynamic Flows. Computer Methods in Applied Mechanics and Engineering, 333, 218–237. doi:10.1016/j.cma.2018.01.004
- Lermusiaux, P.F.J., D.N. Subramani, J. Lin, C.S. Kulkarni, A. Gupta, A. Dutt, T. Lolla, P.J. Haley Jr., W.H. Ali, C. Mirabito, and S. Jana, 2017. A Future for Intelligent Autonomous Ocean Observing Systems. The Sea. Volume 17, The Science of Ocean Prediction, Part 2, J. Marine Res. 75(6), pp. 765–813. https://doi.org/10.1357/002224017823524035
- Centurioni, L.R., V. Hormann, L. D. Talley, I. Arzeno, L. Beal, M. Caruso, P. Conry, R. Echols, H. J. S. Fernando, S. N. Giddings, A. Gordon, H. Graber, R. Harcourt, S. R. Jayne, T. G. Jensen, C. M. Lee, P. F. J. Lermusiaux, P. L’Hegaret, A. J. Lucas, A. Mahadevan, J. L. McClean, G. Pawlak, L. Rainville, S. Riser, H. Seo, A. Y. Shcherbina, E. Skyllingstad, J. Sprintall, B. Subrahmanyam, E. Terrill, R. E. Todd, C. Trott, H. N. Ulloa, and H. Wang, 2017. Northern Arabian Sea Circulation-Autonomous Research (NASCar): A Research Initiative Based on Autonomous Sensors. Oceanography 30(2):74–87, https://doi.org/10.5670/oceanog.2017.224.
- Lermusiaux, P.F.J., P.J. Haley Jr., S. Jana, A. Gupta, C.S. Kulkarni, C. Mirabito,
W.H. Ali, D.N. Subramani, A. Dutt, J. Lin, A. Y. Shcherbina, C. M. Lee, and A. Gangopadhyay, 2017. Optimal Planning and Sampling Predictions for Autonomous and Lagrangian Platforms and Sensors in the Northern Arabian Sea. Oceanography 30(2):172–185, https://doi.org/10.5670/oceanog.2017.242.
- Subramani, D. N., P. J. Haley Jr., and P. F. J. Lermusiaux, 2017.
Energy-optimal path planning in the coastal ocean. Journal of Geophysical Research Oceans, 122, 3981–4003. doi:10.1002/2016JC012231.
- Sun, W., P. Tsiotras, T. Lolla, D. N. Subramani, and P. F. J. Lermusiaux, 2017. Multiple-Pursuer-One-Evader Pursuit Evasion Game in Dynamic Flow Fields. Journal of Guidance, Control and Dynamics, 40 (7), 1627-1637. DOI: 10.2514/1.G002125
- Subramani, D.N. and P.F.J. Lermusiaux, 2016. Energy-optimal Path Planning by Stochastic Dynamically Orthogonal Level-Set Optimization. Ocean Modeling, 100, 57–77. DOI: 10.1016/j.ocemod.2016.01.006
- Lermusiaux P.F.J, T. Lolla, P.J. Haley. Jr., K. Yigit, M.P. Ueckermann, T. Sondergaard and W.G. Leslie, 2016. Science of Autonomy: Time-Optimal Path Planning and Adaptive Sampling for Swarms of Ocean Vehicles. Chapter 21, Springer Handbook of Ocean Engineering: Autonomous Ocean Vehicles, Subsystems and Control, Tom Curtin (Ed.), pp. 481-498. doi:10.1007/978-3-319-16649-0_21.
- Lolla, T., P.J. Haley. Jr. and P.F.J. Lermusiaux, 2015. Path Planning in Multi-scale Ocean Flows: Coordination and Dynamic Obstacles. Ocean Modelling, 94, 46-66. DOI: 10.1016/j.ocemod.2015.07.013.
- Lolla, T., P.J. Haley, Jr. and P.F.J. Lermusiaux, 2014. Time-Optimal Path Planning in Dynamic Flows using Level Set Equations: Realistic Applications. Ocean Dynamics, 64, 10:1399–1417. DOI: 10.1007/s10236-014-0760-3.
- Lolla, T., P.F.J. Lermusiaux, M.P. Ueckermann and P.J. Haley, Jr., 2014. Time-Optimal Path Planning in Dynamic Flows using Level Set Equations: Theory and Schemes. Ocean Dynamics, 64, 10:1373–1397. DOI: 10.1007/s10236-014-0757-y.
- Wang, D., P.F.J. Lermusiaux, P.J. Haley, D. Eickstedt, W.G. Leslie and H. Schmidt, 2009. Acoustically Focused Adaptive Sampling and On-board Routing for Marine Rapid Environmental Assessment. Special issue of Journal of Marine Systems on "Coastal processes: challenges for monitoring and prediction", Drs. J.W. Book, Prof. M. Orlic and Michel Rixen (Guest Eds), 78, S393-S407, doi: 10.1016/j.jmarsys.2009.01.037.
- Yilmaz, N.K., C. Evangelinos, P.F.J. Lermusiaux and N. Patrikalakis, 2008. Path Planning of Autonomous Underwater Vehicles for Adaptive Sampling Using Mixed Integer Linear Programming. IEEE Transactions, Journal of Oceanic Engineering, 33 (4), 522-537. doi: 10.1109/JOE.2008.2002105.
- Lermusiaux, P.F.J., P.J. Haley Jr. and N.K. Yilmaz, 2007. Environmental Prediction, Path Planning and Adaptive Sampling: Sensing and Modeling for Efficient Ocean Monitoring, Management and Pollution Control. Sea Technology, 48(9), 35-38.
- Heaney, K.D., G. Gawarkiewicz, T.F. Duda and P.F.J. Lermusiaux, 2007. Non-linear Optimization of Autonomous Undersea Vehicle Sampling Strategies for Oceanographic Data-Assimilation. Special issue on "Underwater Robotics", Journal of Field Robotics, 24(6), 437-448, doi:10.1002/rob.20183.
- Yilmaz, N.K., C. Evangelinos, N.M. Patrikalakis, P.F.J. Lermusiaux, P.J. Haley, W.G. Leslie, A.R. Robinson, D. Wang and H. Schmidt, 2006a. Path Planning Methods for Adaptive Sampling of Environmental and Acoustical Ocean Fields, Oceans 2006, 6pp, Boston, MA, 18-21 Sept. 2006, doi: 10.1109/OCEANS.2006.306841.
Proceedings of Refereed Conferences
- Killer, M., M. Wiggert, H. Krasowski, M. Doshi, P.F.J. Lermusiaux, and C.J. Tomlin, 2025. Maximizing Seaweed Growth on Autonomous Farms: A Dynamic Programming Approach for Underactuated Systems Operating in Uncertain Ocean Currents. In: 41st IEEE Conference on Robotics and Automation (ICRA 2024) Yokohama, May 13–17, 2024, in press.
- Lermusiaux, P.F.J., P.J. Haley, Jr., C. Mirabito, E.M. Mule, S.F. DiMarco, A. Dancer, X. Ge, A.H. Knap, Y. Liu, S. Mahmud, U.C. Nwankwo, S. Glenn, T.N. Miles, D. Aragon, K. Coleman, M. Smith, M. Leber, R. Ramos, J. Storie, G. Stuart, J. Marble, P. Barros, E.P. Chassignet, A. Bower, H.H. Furey, B. Jaimes de la Cruz, L.K. Shay, M. Tenreiro, E. Pallas Sanz, J. Sheinbaum, P. Perez-Brunius, D. Wilson, J. van Smirren,
R. Monreal-Jiménez, D.A. Salas-de-León, V.K. Contreras Tereza, M. Feldman, and M. Khadka, 2024. Real-time Ocean Probabilistic Forecasts, Reachability Analysis, and Adaptive Sampling in the Gulf of Mexico. In: OCEANS '24 IEEE/MTS Halifax, 23–26 September 2024, pp. 1–10. doi:10.1109/OCEANS55160.2024.10754153
- Mule, E.M., P.J. Haley, Jr., C. Mirabito, S.F. DiMarco, S. Mahmud, A. Dancer, X. Ge, A.H. Knap, Y. Liu, U.C. Nwankwo, S. Glenn, T.N. Miles, D. Aragon, K. Coleman, M. Smith, M. Leber, R. Ramos, J. Storie, G. Stuart, J. Marble, P. Barros, E.P. Chassignet, A. Bower, H.H. Furey, B. Jaimes de la Cruz, L.K. Shay, M. Tenreiro, E. Pallas Sanz, J. Sheinbaum, P. Perez-Brunius, D. Wilson, J. van Smirren, R. Monreal-Jiménez, D.A. Salas-de-León, V.K. Contreras Tereza, M. Feldman, M. Khadka, and P.F.J. Lermusiaux, 2024. Real-time Probabilistic Reachability Forecasting for Gliders in the Gulf of Mexico. In: OCEANS '24 IEEE/MTS Halifax, 23–26 September 2024, pp. 1–10. doi:10.1109/OCEANS55160.2024.10754057
- Schnitzler, B., P.J. Haley, Jr., C. Mirabito, E.M. Mule, J.-M. Moschetta, D. Delahaye, A. Drouin and P. F. J. Lermusiaux, 2024. Hazard-Time Optimal Path Planning for Collaborative Air and Sea Drones. In: OCEANS '24 IEEE/MTS Halifax, 23–26 September 2024, pp. 1–10. doi:10.1109/OCEANS55160.2024.10753934
- Doering, A., M. Wiggert, H. Krasowski, M. Doshi, P.F.J. Lermusiaux, and C.J. Tomlin, 2023. Stranding Risk for Underactuated
Vessels in Complex Ocean Currents: Analysis and Controllers. In: 2023 IEEE 62nd Conference on Decision and Control (CDC),
Singapore. doi:10.1109/CDC49753.2023.10383383
- Tieppo, M., E. Pereira, L. González Garcia, M. Rolim, E. Castanho, A. Matos, A. Silva, B. Ferreira, M. Pascoal, E. Almeida, F. Costa, F. Zabel, J. Faria, J. Azevedo, J. Alves, J. Moutinho, L. Gonçalves, M. Martins, N. Cruz, N. Abreu, P. Silva, R. Viegas, S. Jesus, T. Chen, T. Miranda, A. Papalia, D. Hart, J. Leonard, M. Haji, O. de Weck, P. Godart, and P. Lermusiaux, 2022. Submarine Cables as Precursors of Persistent Systems for Large Scale Oceans Monitoring and Autonomous Underwater Vehicles Operation. In: OCEANS '22 IEEE/MTS Hampton Roads, 17–20 October 2022, pp. 1–7. doi:10.1109/OCEANS47191.2022.9977360
- Doshi, M., M. Bhabra, M. Wiggert, C.J. Tomlin, and P.F.J. Lermusiaux, 2022. Hamilton–Jacobi Multi-Time Reachability. In: 2022 IEEE 61st Conference on Decision and Control (CDC), Cancún, Mexico, pp. 2443–2450. doi:10.1109/CDC51059.2022.9993328
- Wiggert, M., M. Doshi, P.F.J. Lermusiaux, and C.J. Tomlin, 2022. Navigating Underactuated Agents by Hitchhiking Forecast Flows. In: 2022 IEEE 61st Conference on Decision and Control (CDC), Cancún, Mexico, pp. 2417–2424. doi:10.1109/CDC51059.2022.9992375
- Bhabra, M.S., M.M. Doshi, B.C. Koenig, P.J. Haley, Jr., C. Mirabito, P.F.J. Lermusiaux, C.A. Goudey, J. Curcio, D. Manganelli, and H. Goudey, 2020. Optimal Harvesting with Autonomous Tow Vessels for Offshore Macroalgae Farming. In: OCEANS '20 IEEE/MTS, 5-30 October 2020, pp. 1-10. doi:10.1109/IEEECONF38699.2020.9389474
- Ferris, D.L., D.N. Subramani, C.S. Kulkarni, P.J. Haley, and P.F.J. Lermusiaux, 2018. Time-Optimal Multi-Waypoint Mission Planning in Dynamic Environments. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8604505
- Dutt, A., D.N. Subramani, C.S. Kulkarni, and P.F.J. Lermusiaux, 2018. Clustering of Massive Ensemble of Vehicle Trajectories in Strong, Dynamic and Uncertain Ocean Flows. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8604634
- Mirabito, C., D.N. Subramani, T. Lolla, P.J. Haley, Jr., A. Jain, P.F.J. Lermusiaux, C. Li, D.K.P. Yue, Y. Liu, F.S. Hover,
N. Pulsone, J. Edwards, K.E. Railey, and G. Shaw, 2017. Autonomy for Surface Ship Interception.
In: Oceans '17 MTS/IEEE Aberdeen, 1-10, 19-22 June 2017, DOI: 10.1109/OCEANSE.2017.8084817
- Edwards, J., J. Smith, A. Girard, D. Wickman, P.F.J. Lermusiaux, D.N. Subramani, P.J. Haley, Jr., C. Mirabito, C.S. Kulkarni, and,
S. Jana, 2017. Data-driven Learning and Modeling of AUV Operational Characteristics for Optimal Path Planning.
In: Oceans '17 MTS/IEEE Aberdeen, 1-5, 19-22 June 2017, DOI: 10.1109/OCEANSE.2017.8084779
- Subramani, D. N., P. F. J. Lermusiaux, P.J. Haley, Jr., C. Mirabito, S. Jana,
C. S. Kulkarni, A. Girard, D. Wickman, J. Edwards, J. Smith, 2017. Time-Optimal Path Planning: Real-Time Sea Exercises. In: Oceans '17 MTS/IEEE Aberdeen, 1-10, 19-22 June 2017, DOI: 10.1109/OCEANSE.2017.8084776
- Sun, W., P. Tsiotras, T. Lolla, D. N. Subramani and P. F. J. Lermusiaux, 2017. Pursuit-evasion games in dynamic flow fields via reachability set analysis American Control Conference (ACC), Seattle, WA, 2017, pp. 4595-4600.
doi: 10.23919/ACC.2017.7963664
- Subramani, D. N., Lolla, T., Haley Jr., P. J., Lermusiaux, P. F. J., 2015. A stochastic optimization method for energy-based path planning. In: Ravela, S., Sandu, A. (Eds.), DyDESS 2014. Vol. 8964 of LNCS. Springer, pp. 347-358.
- Lolla, T.; Ueckermann, M.P.; Yigit, K.; Haley, P.J.; Lermusiaux, P.F.J., 2012, Path planning in time dependent flow fields using level set methods, 2012 IEEE International Conference on Robotics and Automation (ICRA), 166-173, 14-18 May 2012,
doi: 10.1109/ICRA.2012.6225364.
Adaptive Sampling
Papers in Refereed Journals
- Rajan, K., F. Aguado, P. Lermusiaux, J. Borges de Sousa, A. Subramaniam, and J. Tintore, 2021. METEOR: A Mobile (Portable) ocEan roboTic
ObsErvatORy. Marine Technology Society Journal 55(3): 74-75. doi:10.4031/MTSJ.55.3.42
- Gil, Y., S.A. Pierce, H. Babaie, A. Banerjee, K. Borne, G. Bust, M. Cheatham, I. Ebert-Uphoff, C. Gomes, M. Hill, J. Horel, L. Hsu, J. Kinter, C. Knoblock, D. Krum, V. Kumar, P.F.J. Lermusiaux, Y. Liu, C. North, V. Pankratius, S. Peters, B. Plale, A. Pope, S. Ravela, J. Restrepo, A. Ridley, H. Samet, and S. Shekhar, 2019. Intelligent Systems for Geosciences: An Essential Research Agenda. Communications of the ACM, 62(1), 76–84. doi:10.1145/3192335
- Lermusiaux, P.F.J., D.N. Subramani, J. Lin, C.S. Kulkarni, A. Gupta, A. Dutt, T. Lolla, P.J. Haley Jr., W.H. Ali, C. Mirabito, and S. Jana, 2017. A Future for Intelligent Autonomous Ocean Observing Systems. The Sea. Volume 17, The Science of Ocean Prediction, Part 2, J. Marine Res. 75(6), pp. 765–813. https://doi.org/10.1357/002224017823524035
- Heaney, K. D., P. F. J. Lermusiaux, T. F. Duda and P. J. Haley Jr., 2016.Validation of Genetic Algorithm Based Optimal Sampling for Ocean Data Assimilation. Ocean Dynamics. 66: 1209-1229. doi:10.1007/s10236-016-0976-5.
- Lermusiaux P.F.J, T. Lolla, P.J. Haley. Jr., K. Yigit, M.P. Ueckermann, T. Sondergaard and W.G. Leslie, 2016. Science of Autonomy: Time-Optimal Path Planning and Adaptive Sampling for Swarms of Ocean Vehicles. Chapter 21, Springer Handbook of Ocean Engineering: Autonomous Ocean Vehicles, Subsystems and Control, Tom Curtin (Ed.), pp. 481-498. doi:10.1007/978-3-319-16649-0_21.
- Schofield, O., S. Glenn, J. Orcutt, M. Arrott, M. Meisinger, A. Gangopadhyay, W. Brown, R. Signell, M. Moline, Y. Chao, S. Chien, D. Thompson, A. Balasuriya, P.F.J. Lermusiaux and M. Oliver, 2010. Automated Sensor Networks to Advance Ocean Science. EOS, Vol. 91, No. 39, 28 September 2010.
- Ramp, S.R., R. E. Davis, N. E. Leonard, I. Shulman, Y. Chao, A. R. Robinson, J. Marsden, P.F.J. Lermusiaux, D. Fratantoni, J. D. Paduan, F. Chavez, F. L. Bahr, S. Liang, W. Leslie, and Z. Li, 2009. Preparing to Predict: The Second Autonomous Ocean Sampling Network (AOSN-II) Experiment in the Monterey Bay. Special issue on AOSN-II, Deep Sea Research, Part II, 56, 68-86, doi: 10.1016/j.dsr2.2008.08.013.
- Haley, P.J. Jr., P.F.J. Lermusiaux, A.R. Robinson, W.G. Leslie, O. Logutov, G. Cossarini, X.S. Liang, P. Moreno, S.R. Ramp, J.D. Doyle, J. Bellingham, F. Chavez, S. Johnston, 2009. Forecasting and Reanalysis in the Monterey Bay/California Current Region for the Autonomous Ocean Sampling Network-II Experiment. Special issue on AOSN-II, Deep Sea Research, Part II. ISSN 0967-0645, doi: 10.1016/j.dsr2.2008.08.010.
- Wang, D., P.F.J. Lermusiaux, P.J. Haley, D. Eickstedt, W.G. Leslie and H. Schmidt, 2009. Acoustically Focused Adaptive Sampling and On-board Routing for Marine Rapid Environmental Assessment. Special issue of Journal of Marine Systems on "Coastal processes: challenges for monitoring and prediction", Drs. J.W. Book, Prof. M. Orlic and Michel Rixen (Guest Eds), 78, S393-S407, doi: 10.1016/j.jmarsys.2009.01.037.
- Yilmaz, N.K., C. Evangelinos, P.F.J. Lermusiaux and N. Patrikalakis, 2008. Path Planning of Autonomous Underwater Vehicles for Adaptive Sampling Using Mixed Integer Linear Programming. IEEE Transactions, Journal of Oceanic Engineering, 33 (4), 522-537. doi: 10.1109/JOE.2008.2002105.
- Lermusiaux, P.F.J, 2007. Adaptive Modeling, Adaptive Data Assimilation and Adaptive Sampling. Refereed invited manuscript. Special issue on "Mathematical Issues and Challenges in Data Assimilation for Geophysical Systems: Interdisciplinary Perspectives". C.K.R.T. Jones and K. Ide, Eds. Physica D, Vol 230, 172-196, doi:
10.1016/j.physd.2007.02.014.
- Lermusiaux, P.F.J., P.J. Haley Jr. and N.K. Yilmaz, 2007. Environmental Prediction, Path Planning and Adaptive Sampling: Sensing and Modeling for Efficient Ocean Monitoring, Management and Pollution Control. Sea Technology, 48(9), 35-38.
- Heaney, K.D., G. Gawarkiewicz, T.F. Duda and P.F.J. Lermusiaux, 2007. Non-linear Optimization of Autonomous Undersea Vehicle Sampling Strategies for Oceanographic Data-Assimilation. Special issue on "Underwater Robotics", Journal of Field Robotics, 24(6), 437-448, doi:10.1002/rob.20183.
- Yilmaz, N.K., C. Evangelinos, N.M. Patrikalakis, P.F.J. Lermusiaux, P.J. Haley, W.G. Leslie, A.R. Robinson, D. Wang and H. Schmidt, 2006a. Path Planning Methods for Adaptive Sampling of Environmental and Acoustical Ocean Fields, Oceans 2006, 6pp, Boston, MA, 18-21 Sept. 2006, doi: 10.1109/OCEANS.2006.306841.
- Evangelinos C., R. Chang, P.F.J. Lermusiaux and N.M. Patrikalakis, 2003. Rapid real-time interdisciplinary ocean forecasting using adaptive sampling and adaptive modeling and legacy codes: Component encapsulation using XML. Lecture Notes in Computer Science, 2660, 375-384.
Proceedings of Refereed Conferences
- Lermusiaux, P.F.J., P.J. Haley, Jr., C. Mirabito, E.M. Mule, S.F. DiMarco, A. Dancer, X. Ge, A.H. Knap, Y. Liu, S. Mahmud, U.C. Nwankwo, S. Glenn, T.N. Miles, D. Aragon, K. Coleman, M. Smith, M. Leber, R. Ramos, J. Storie, G. Stuart, J. Marble, P. Barros, E.P. Chassignet, A. Bower, H.H. Furey, B. Jaimes de la Cruz, L.K. Shay, M. Tenreiro, E. Pallas Sanz, J. Sheinbaum, P. Perez-Brunius, D. Wilson, J. van Smirren,
R. Monreal-Jiménez, D.A. Salas-de-León, V.K. Contreras Tereza, M. Feldman, and M. Khadka, 2024. Real-time Ocean Probabilistic Forecasts, Reachability Analysis, and Adaptive Sampling in the Gulf of Mexico. In: OCEANS '24 IEEE/MTS Halifax, 23–26 September 2024, pp. 1–10. doi:10.1109/OCEANS55160.2024.10754153
- Petillo, S., H. Schmidt, P.F.J. Lermusiaux, D. Yoerger and A. Balasuriya, 2015. Autonomous & Adaptive Oceanographic Front Tracking On Board Autonomous Underwater Vehicles. Proceedings of IEEE OCEANS'15 Conference, Genoa, Italy, 18-21 May, 2015.
- Cococcioni M., B. Lazzerini and P.F.J. Lermusiaux, 2015. Adaptive Sampling Using Fleets of Underwater Gliders in the Presence of Fixed Buoys using a Constrained Clustering Algorithm. Proceedings of IEEE OCEANS'15 Conference, Genoa, Italy, 18-21 May, 2015.
- Wang, D., P.F.J. Lermusiaux, P.J. Haley, W.G. Leslie and H. Schmidt, 2006. Adaptive Acoustical-Environmental Assessment for the Focused Acoustic Field-05 At-sea Exercise, Oceans 2006, 6pp, Boston, MA, 18-21 Sept. 2006, doi: 10.1109/OCEANS.2006.306904.
- Robinson, A.R., J. Sellschopp, W.G. Leslie, A. Alvarez, G. Baldasserini, P.J. Haley, P.F.J. Lermusiaux, C.J. Lozano, E. Nacini, R. Onken, R. Stoner, P. Zanasca, 2003. Forecasting synoptic transients in the Eastern Ligurian Sea. In "Rapid Environmental Assessment", Bovio, E., R. Tyce and H. Schmidt (Editors), SACLANTCEN Conference Proceedings Series CP-46, Saclantcen, La Spezia, Italy.
Numerical Modeling
Multiscale Ocean Modeling
Papers in Refereed Journals
- Kulkarni, C.S. and P.F.J. Lermusiaux, 2025. Persistent Lagrangian Material Coherence in Fluid and Ocean Flows Using Flow Map Composition. Ocean Modelling, sub-judice.
- Feppon, F. and P.F.J. Lermusiaux, 2025. Rigid Sets and Coherent Sets in Realistic Ocean Flows. Nonlinear Processes in Geophysics, sub-judice. doi:10.5194/npg-2022-1
- Foucart, C., A. Charous, and P.F.J. Lermusiaux, 2023. Deep Reinforcement Learning for Adaptive Mesh Refinement. Journal of Computational Physics 491, 112381. doi:10.1016/j.jcp.2023.112381
- Muñoz-Royo, C., T. Peacock, M.H. Alford, J. Smith, A. Le Boyer, C.S. Kulkarni, P.F.J. Lermusiaux, P.J. Haley, Jr., C. Mirabito, D. Wang, E. Eric Adams, R. Ouillon, A. Breugem, B. Decrop, T. Lanckriet, R.B. Supekar, A.J. Rzeznik, A. Gartman, and S.-J. Ju, 2021. Extent of Impact of Deep-Sea Nodule Mining Midwater Plumes Is Influenced by Sediment Loading, Turbulence and Thresholds. Nature Communications Earth & Environment 2(148), pp. 1-16. doi:10.1038/s43247-021-00213-8
- Hoteit, I., Y. Abualnaja, S. Afzal, B. Ait-El-Fquih, T. Akylas, C. Antony, C. Dawson, K. Asfahani, R.J. Brewin, L. Cavaleri, I. Cerovecki, B. Cornuelle, S. Desamsetti, R. Attada, H. Dasari, J. Sanchez-Garrido, L. Genevier, M. El Gharamti, J.A. Gittings, E. Gokul, G. Gopalakrishnan, D. Guo, B. Hadri, M. Hadwiger, M.A. Hammoud, M. Hendershott, M. Hittawe, A. Karumuri, O. Knio, A. Köhl, S. Kortas, G. Krokos, R. Kunchala, L. Issa, I. Lakkis, S. Langodan, P. Lermusiaux, T. Luong, J. Ma, O. Le Maitre, M. Mazloff, S. El Mohtar, V.P. Papadopoulos, T. Platt, L. Pratt, N. Raboudi, M.-F. Racault, D.E. Raitsos, S. Razak, S. Sanikommu, S. Sathyendranath, S. Sofianos, A. Subramanian, R. Sun, E. Titi, H. Toye, G. Triantafyllou, K. Tsiaras, P. Vasou, Y. Viswanadhapalli, Y. Wang, F. Yao, P. Zhan, and G. Zodiatis, 2021. Towards an End-to-End Analysis and Prediction System for Weather, Climate, and Marine Applications in the Red Sea. Bulletin of the American Meteorological Society 102(1), E99-E122. doi:10.1175/BAMS-D-19-0005.1
- Serra, M., P. Sathe, I. Rypina, A. Kirincich, S.D. Ross, P.F.J. Lermusiaux, A. Allen, T. Peacock, and G. Haller, 2020. Search and Rescue at Sea Aided by Hidden Flow Structures. Nature Communications 11, 1-7. doi:10.1038/s41467-020-16281-x
- Johnston, T.M.S., J.A. MacKinnon, P.L. Colin, P.J. Haley, Jr., P.F.J. Lermusiaux, A.J. Lucas, M.A. Merrifield, S.T. Merrifield,
C. Mirabito, J.D. Nash, C.Y. Ou, M. Siegelman, E.J. Terrill, A.F. Waterhouse, 2019. Energy and Momentum Lost to Wake Eddies and Lee Waves Generated by the North Equatorial Current
and Tidal Flows at Peleliu, Palau, Oceanography 32(4), 110–125. doi:10.5670/oceanog.2019.417
- Kulkarni, C.S. and P.F.J. Lermusiaux, 2019. Advection without Compounding Errors through Flow Map Composition. Journal of Computational Physics, 398, 108859. doi:10.1016/j.jcp.2019.108859
- Duda, T.F., Y.-T. Lin, A.E. Newhall, K.R. Helfrich, J.F. Lynch, W.G. Zhang, P.F.J. Lermusiaux, and J. Wilkin, 2019. Multiscale Multiphysics Data-Informed Modeling for Three-Dimensional Ocean Acoustic Simulation and Prediction. Journal of the Acoustical Society of America, 146(3), 1996–2015. doi:10.1121/1.5126012
- Jana, S., A. Gangopadhyay, P.F.J. Lermusiaux, A. Chakraborty, S. Sil, and P.J.
Haley Jr., 2018. Sensitivity of the Bay of Bengal Upper Ocean to Different Winds and River Input Conditions. Journal of Marine Systems, 187, 206–222. doi:10.1016/j.jmarsys.2018.08.001
- Aoussou, J., J. Lin, and P.F.J. Lermusiaux, 2018. Iterated Pressure-Correction Projection Methods for the Unsteady Incompressible Navier-Stokes Equations. Journal of Computational Physics, 373, 940–974. doi:10.1016/j.jcp.2018.06.062
- Pinardi, N., P.F.J. Lermusiaux, K.H. Brink, and R.H. Preller, 2017. The Sea: The Science of Ocean Prediction. Preface to The Sea. Volume 17, The Science of Ocean Prediction, Part 1. Special Issue, J. Marine Res. 75(3). pp. 101-102
- Pinardi, N., L. Cavaleri, P. De Mey, C. Fratianni, I. Huthnance, P.F.J. Lermusiaux, A. Navarra, R. Preller, and S. Tibalidi, 2017. From Weather to Ocean Predictions: an Historical Viewpoint. The Sea. Volume 17, The Science of Ocean Prediction, Part 1, Special Issue, J. Marine Res. 75(3). pp. 103-159. https://doi.org/10.1357/002224017821836789
- Kelly, S.M., P.F.J. Lermusiaux, T. F. Duda, and P.J. Haley Jr., 2016. A Coupled-mode Shallow Water model for tidal
analysis: Internal-tide reflection and refraction by the Gulf Stream. J. Phys. Oceanogr., 46, 3661–3679, doi: 10.1175/JPO-D-16-0018.1.
- Ueckermann, M.P. and P.F.J. Lermusiaux, 2016. Hybridizable Discontinuous Galerkin Projection Methods for Navier-Stokes and Boussinesq Equations. Journal of Computational Physics, 306, 390–421. http://dx.doi.org/10.1016/j.jcp.2015.11.028
- Haley, P.J., Jr., A. Agarwal, P.F.J. Lermusiaux, 2015. Optimizing Velocities and Transports for Complex Coastal Regions and Archipelagos. Ocean Modeling, 89, 1-28. doi:10.1016/j.ocemod.2015.02.005
- De Dominicis M., S. Falchetti, F. Trotta, N. Pinardi, L. Giacomelli, E. Napolitano, L. Fazioli, R. Sorgente, P.J. Haley Jr., P.F.J. Lermusiaux, F. Martins and M. Cocco, 2014. A Relocatable Ocean Model in support of environmental emergencies - The Costa Concordia emergency case. Ocean Dynamics,
64, 5:667–688. DOI 10.1007/s10236-014-0705-x
- Lermusiaux, P.F.J., J. Schröter, S. Danilov, M. Iskandarani, N. Pinardi and J.J. Westerink, 2013. Multiscale Modeling of Coastal, Shelf and Global Ocean Dynamics, Ocean Dynamics. 63:1341–1344. DOI: 10.1007/s10236-013-0655-8
- Ueckermann, M.P., P.F.J. Lermusiaux and T.P. Sapsis, 2013. Numerical Schemes for Dynamically Orthogonal Equations of Stochastic Fluid and Ocean Flows. J. Comp. Phys., 233, 272-294, doi: 10.1016/j.jcp.2012.08.041.
- Lermusiaux, P.F.J, A.J. Miller and N. Pinardi, 2011. Special issue of Dynamics of Atmospheres and Oceans in honor of Prof. A.R. Robinson, Editorial, Dynamics of Atmospheres and Oceans, 52, 1-3, doi:10.1016/j.dynatmoce.2011.08.001.
- Gangopadhyay, A., P.F.J. Lermusiaux, L. Rosenfeld, A.R. Robinson, L. Calado, H.S. Kim, W.G. Leslie and P.J. Haley, Jr., 2011. The California Current System: A Multiscale Overview and the Development of a Feature-Oriented Regional Modeling System (FORMS). Dynamics of Atmospheres and Oceans, 52, 131-169, doi:10.1016/j.dynatmoce.2011.04.003.
- Lermusiaux, P.F.J., P.J. Haley, Jr., W.G. Leslie, A. Agarwal, O. Logutov and L.J. Burton, 2011. Multiscale Physical and Biological Dynamics in the Philippines Archipelago: Predictions and Processes. Oceanography. PhilEx Issue, 24(1), 70-89, doi:10.5670/oceanog.2011.05.
- Agarwal, A. and P.F.J. Lermusiaux, 2011. Statistical Field Estimation for Complex Coastal Regions and Archipelagos. Ocean Modeling, 40(2), 164-189, doi: 10.1016/j.ocemod.2011.08.001.
- Lin, Y.-T., A.E. Newhall, T.F. Duda, P.F. J. Lermusiaux and P.J. Haley, Jr., 2010. Merging Multiple Partial-Depth Data Time Series Using Objective Empirical Orthogonal Function Fitting. IEEE Transactions, Journal of Oceanic Engineering. 35(4) 710-721. doi:10.1109/JOE.2010.2052875.
- Ueckermann, M.P. and P.F.J. Lermusiaux, 2010. High Order Schemes for 2D Unsteady Biogeochemical Ocean Models. Ocean Dynamics, 60, 1415-1445, doi:10.1007/s10236-010-0351-x
- Haley, P.J., Jr. and P.F.J. Lermusiaux, 2010. Multiscale two-way embedding schemes for free-surface primitive-equations in the Multidisciplinary Simulation, Estimation and Assimilation System. Ocean Dynamics, 60, 1497-1537. doi:10.1007/s10236-010-0349-4.
- Deleersnijder, E., V. Legat and P.F.J. Lermusiaux, 2010. Multi-scale modelling of coastal, shelf and global ocean dynamics. Ocean Dynamics. 60, 1357-1359. doi:10.1007/s10236-010-0363-6.
- Ramp, S.R., R. E. Davis, N. E. Leonard, I. Shulman, Y. Chao, A. R. Robinson, J. Marsden, P.F.J. Lermusiaux, D. Fratantoni, J. D. Paduan, F. Chavez, F. L. Bahr, S. Liang, W. Leslie, and Z. Li, 2009. Preparing to Predict: The Second Autonomous Ocean Sampling Network (AOSN-II) Experiment in the Monterey Bay. Special issue on AOSN-II, Deep Sea Research, Part II, 56, 68-86, doi: 10.1016/j.dsr2.2008.08.013.
- Logutov, O.G., 2008. A multigrid methodology for assimilation of measurements into
regional tidal models. Ocean Dynamics, 58, 441-460, doi:10.1007/s10236-008-0163-4.
- Deleersnijder, E. and P.F.J. Lermusiaux, (Guest Eds.), 2008. Multi-Scale Modelling: Nested Grid and Unstructured Mesh Approaches, Editorial. Ocean Dynamics, 58, 335-336, Springer. doi: 10.1007/s10236-008-0170-5.
- Logutov, O.G. and Lermusiaux, P.F.J., 2008. Inverse Barotropic Tidal Estimation for Regional Ocean Applications. Ocean Modeling, 25, 17-34. doi: 10.1016/j.ocemod.2008.06.004.
- Leslie, W.G., A.R. Robinson, P.J. Haley, O. Logoutov, P. Moreno, P.F.J. Lermusiaux, E. Coehlo, 2008. Verification and Training of Real-Time Forecasting of Multi-Scale Ocean Dynamics for MREA. Journal of Marine Systems, 69, 3-16, doi: 10.1016/j.jmarsys.2007.02.001.
- Onken, R., A.R. Robinson, P.F.J. Lermusiaux, P.J. Haley Jr. and L.A. Anderson, 2003. Data driven simulations of synoptic circulation and transports in the Tunisia-Sardinia-Sicily region. Journal of Geophysical Research, 108, (C9), 8123-8136.
- Lermusiaux, P.F.J., 2002. On the mapping of multivariate geophysical fields: sensitivity to size, scales and dynamics. Journal of Atmospheric and Oceanic Technology, 19, 1602-1637.
- Robinson, A.R., B.J. Rothschild, W.G. Leslie, J.J. Bisagni, M.F. Borges, W.S. Brown, D. Cai, P. Fortier, A. Gangopadhyay, P.J. Haley, Jr., H.S. Kim, L. Lanerolle, P.F.J. Lermusiaux, C.J. Lozano, M.G. Miller, G. Strout and M.A. Sundermeyer, 2001. The development and demonstration of an advanced fisheries management information system. Proc. of the 17th Conference on Interactive Information and Processing Systems for Meteorology, Oceanography and Hydrology, Albuquerque, New Mexico. American Meteorological Society, 186-190.
Proceedings of Refereed Conferences
- Lermusiaux, P.F.J., P.J. Haley, Jr., C. Mirabito, E.M. Mule, S.F. DiMarco, A. Dancer, X. Ge, A.H. Knap, Y. Liu, S. Mahmud, U.C. Nwankwo, S. Glenn, T.N. Miles, D. Aragon, K. Coleman, M. Smith, M. Leber, R. Ramos, J. Storie, G. Stuart, J. Marble, P. Barros, E.P. Chassignet, A. Bower, H.H. Furey, B. Jaimes de la Cruz, L.K. Shay, M. Tenreiro, E. Pallas Sanz, J. Sheinbaum, P. Perez-Brunius, D. Wilson, J. van Smirren,
R. Monreal-Jiménez, D.A. Salas-de-León, V.K. Contreras Tereza, M. Feldman, and M. Khadka, 2024. Real-time Ocean Probabilistic Forecasts, Reachability Analysis, and Adaptive Sampling in the Gulf of Mexico. In: OCEANS '24 IEEE/MTS Halifax, 23–26 September 2024, pp. 1–10. doi:10.1109/OCEANS55160.2024.10754153
- Foucart, C., C. Mirabito, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2021. High-order Discontinuous Galerkin Methods for Nonhydrostatic Ocean Processes with a Free Surface. In: OCEANS '21 IEEE/MTS San Diego, 20-23 September 2021, pp. 1-9. doi:10.23919/OCEANS44145.2021.9705767
- Lermusiaux, P.F.J., M. Doshi, C.S. Kulkarni, A. Gupta, P.J. Haley, Jr., C. Mirabito, F. Trotta, S.J. Levang, G.R. Flierl, J. Marshall, T. Peacock, and C. Noble, 2019. Plastic Pollution in the Coastal Oceans: Characterization and Modeling. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi: 10.23919/OCEANS40490.2019.8962786
- Doshi, M.M., C.S. Kulkarni, W.H. Ali, A. Gupta, P.F.J. Lermusiaux, P. Zhan, I. Hoteit, and O.M. Knio, 2019. Flowmaps and Coherent Sets for Characterizing Residence Times and Connectivity in Lagoons and Coral Reefs: The Case of the Red Sea. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi:10.23919/OCEANS40490.2019.8962643
- Foucart, C., C. Mirabito, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2018. Distributed Implementation and Verification of Hybridizable Discontinuous Galerkin Methods for Nonhydrostatic Ocean Processes. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8604679
- Deluca, S., B. Rocchio, C. Foucart, C. Mirabito, S. Zanforlin, P.J. Haley, and P.F.J. Lermusiaux, 2018. Scalable Coupled Ocean and Water Turbine Modeling for Assessing Ocean Energy Extraction. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8604646
- Kulkarni, C.S., P.J. Haley, Jr., P.F.J. Lermusiaux, A. Dutt, A. Gupta, C. Mirabito, D.N. Subramani, S. Jana, W.H. Ali, T. Peacock, C.M. Royo, A. Rzeznik, and R. Supekar, 2018. Real-Time Sediment Plume Modeling in the Southern California Bight. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8653642
- Duda T.F., W.G. Zhang, K.R. Helfrich, A.E. Newhall, Y.-T. Lin, J.F. Lynch, P.F.J. Lermusiaux, P.J. Haley Jr., J. Wilkin, 2014. Issues and Progress in the Prediction of Ocean Submesoscale Features and Internal Waves. OCEANS'14 MTS/IEEE.
- Lermusiaux, P.F.J. and F. Lekien, 2005. Dynamics and Lagrangian Coherent Structures in the Ocean and their Uncertainty. Extended Abstract in report of the "Dynamical System Methods in Fluid Dynamics" Oberwolfach Workshop. Jerrold E. Marsden and Jurgen Scheurle (Eds.), Mathematisches Forschungsinstitut Oberwolfach, July 31st - August 6th, 2005, Germany. 2pp.
- Robinson, A.R., J. Sellschopp, W.G. Leslie, A. Alvarez, G. Baldasserini, P.J. Haley, P.F.J. Lermusiaux, C.J. Lozano, E. Nacini, R. Onken, R. Stoner, P. Zanasca, 2003. Forecasting synoptic transients in the Eastern Ligurian Sea. In "Rapid Environmental Assessment", Bovio, E., R. Tyce and H. Schmidt (Editors), SACLANTCEN Conference Proceedings Series CP-46, Saclantcen, La Spezia, Italy.
- Robinson, A.R., P.J. Haley, P.F.J. Lermusiaux and W.G. Leslie, 2002. Predictive Skill, Predictive Capability and Predictability in Ocean Forecasting. Proceedings of "The OCEANS 2002 MTS/IEEE" conference, Holland Publications, 787-794.
- Robinson, A.R. and the LOOPS Group, 1999.
Real-time Forecasting of the Multidisciplinary Coastal Ocean with
the Littoral Ocean Observing and Predicting System (LOOPS).
Preprint Volume of the Third Conference on Coastal Atmospheric and
Oceanic Prediction and Processes, 3-5 November 1999, New Orleans,
LA, American Meteorological Society, Boston, MA.
Computer Science
Papers in Refereed Journals
- Patrikalakis, N.M., P.F.J. Lermusiaux, C. Evangelinos, J.J. McCarthy, A.R. Robinson, H. Schmidt, P.J. Haley, S. Lalis, R. Tian, W.G. Leslie, and W. Cho, 2023. Toward Dynamic Data-Driven Systems for Rapid Adaptive Interdisciplinary Ocean Forecasting. Chapter 14, Handbook of Dynamic Data Driven Applications Systems, F. Darema, E.P. Blasch, S. Ravela, and A.J. Aved (Eds.), pp. 377-395. doi:10.1007/978-3-031-27986-7_14
- Foucart, C., A. Charous, and P.F.J. Lermusiaux, 2023. Deep Reinforcement Learning for Adaptive Mesh Refinement. Journal of Computational Physics 491, 112381. doi:10.1016/j.jcp.2023.112381
- Lin, J. and P.F.J. Lermusiaux, 2021. Minimum-Correction Second-Moment Matching: Theory, Algorithms and Applications. Numerische Mathematik 147(3): 611–650. doi:10.1007/s00211-021-01178-8
- Evangelinos, C., P.F.J. Lermusiaux, J. Xu, P.J. Haley, and C.N. Hill, 2011. Many Task Computing for Real-Time Uncertainty Prediction and Data Assimilation in the Ocean. IEEE Transactions on Parallel and Distributed Systems, Special Issue on Many-Task Computing, I. Foster, I. Raicu and Y. Zhao (Guest Eds.), 22, doi: 10.1109/TPDS.2011.64.
- Schofield, O., S. Glenn, J. Orcutt, M. Arrott, M. Meisinger, A. Gangopadhyay, W. Brown, R. Signell, M. Moline, Y. Chao, S. Chien, D. Thompson, A. Balasuriya, P.F.J. Lermusiaux and M. Oliver, 2010. Automated Sensor Networks to Advance Ocean Science. EOS, Vol. 91, No. 39, 28 September 2010.
- Evangelinos, C., P.F.J. Lermusiaux, S. Geiger, R.C. Chang, and N.M. Patrikalakis, 2006. Web-Enabled Configuration and Control of Legacy Codes: An Application to Ocean Modeling. Ocean Modeling, 13, 197-220.
- Evangelinos C., R. Chang, P.F.J. Lermusiaux and N.M. Patrikalakis, 2003. Rapid real-time interdisciplinary ocean forecasting using adaptive sampling and adaptive modeling and legacy codes: Component encapsulation using XML. Lecture Notes in Computer Science, 2660, 375-384.
- Robinson, A.R., B.J. Rothschild, W.G. Leslie, J.J. Bisagni, M.F. Borges, W.S. Brown, D. Cai, P. Fortier, A. Gangopadhyay, P.J. Haley, Jr., H.S. Kim, L. Lanerolle, P.F.J. Lermusiaux, C.J. Lozano, M.G. Miller, G. Strout and M.A. Sundermeyer, 2001. The development and demonstration of an advanced fisheries management information system. Proc. of the 17th Conference on Interactive Information and Processing Systems for Meteorology, Oceanography and Hydrology, Albuquerque, New Mexico. American Meteorological Society, 186-190.
Proceedings of Refereed Conferences
- Foucart, C., C. Mirabito, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2018. Distributed Implementation and Verification of Hybridizable Discontinuous Galerkin Methods for Nonhydrostatic Ocean Processes. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8604679
- Evangelinos, C., P.F.J. Lermusiaux, J. Xu, P.J. Haley, and C.N. Hill, 2009. Many Task Computing for Multidisciplinary Ocean Sciences: Real-Time Uncertainty Prediction and Data Assimilation. Conference on High Performance Networking and Computing, Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers (Portland, OR, 16 November 2009), 10pp. doi.acm.org/10.1145/1646468.1646482.
Computational Acoustics
Papers in Refereed Journals
- Charous, A. and P.F.J. Lermusiaux, 2024. Range-Dynamical Low-Rank Split-Step Fourier Method for the Parabolic Wave Equation. Journal of the Acoustical Society of America 156(4): 2903-2920. doi:10.1121/10.0032470
- Ali, W.H., and P.F.J. Lermusiaux, 2024b. Dynamically Orthogonal Narrow-Angle Parabolic Equations for Stochastic
Underwater Sound Propagation. Part II: Applications. Journal of the Acoustical Society of America 155(1), 656-672. doi:10.1121/10.0024474
- Ali, W.H., and P.F.J. Lermusiaux, 2024a. Dynamically Orthogonal Narrow-Angle Parabolic Equations for Stochastic Underwater Sound Propagation. Part I: Theory and Schemes. Journal of the Acoustical Society of America 155(1), 640-655. doi:10.1121/10.0024466
- Charous, A. and P.F.J. Lermusiaux, 2024. Stable Rank-adaptive Dynamically Orthogonal Runge-Kutta Schemes. SIAM Journal on Scientific Computing 46(1), A529-A560. doi:10.1137/22M1534948
- Lin, Y.-T., A.E. Newhall, T.F. Duda, P.F. J. Lermusiaux and P.J. Haley, Jr., 2010. Merging Multiple Partial-Depth Data Time Series Using Objective Empirical Orthogonal Function Fitting. IEEE Transactions, Journal of Oceanic Engineering. 35(4) 710-721. doi:10.1109/JOE.2010.2052875.
- Wang, D., P.F.J. Lermusiaux, P.J. Haley, D. Eickstedt, W.G. Leslie and H. Schmidt, 2009. Acoustically Focused Adaptive Sampling and On-board Routing for Marine Rapid Environmental Assessment. Special issue of Journal of Marine Systems on "Coastal processes: challenges for monitoring and prediction", Drs. J.W. Book, Prof. M. Orlic and Michel Rixen (Guest Eds), 78, S393-S407, doi: 10.1016/j.jmarsys.2009.01.037.
Proceedings of Refereed Conferences
- Robin, M.M.N., P.J. Haley, Jr., C. Mirabito, and P.F.J. Lermusiaux, 2024. Dynamically-Orthogonal Parabolic Equations for Probabilistic Ocean Acoustics in the New England Seamounts. In: OCEANS '24 IEEE/MTS Halifax, 23–26 September 2024, pp. 1–8. doi:10.1109/OCEANS55160.2024.10754458
- Charous, A., W.H. Ali, P. Ryu, D. Brown, K. Arsenault, B. Cho, K. Rimpau, A. March, and P.F.J. Lermusiaux, 2023. Gaussian Beam Migration for Wide-Area Deep Ocean Floor Mapping. In: OCEANS '23 IEEE/MTS Gulf Coast, 25–28 September 2023. doi:10.23919/OCEANS52994.2023.10337362
- Ali, W.H., A. Charous, C. Mirabito, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2023. MSEAS-ParEq for Ocean-Acoustic Modeling around the Globe. In: OCEANS '23 IEEE/MTS Gulf Coast, 25–28 September 2023. doi:10.23919/OCEANS52994.2023.10337377
- Humara, M.J., W.H. Ali, A. Charous, M. Bhabra, and P.F.J. Lermusiaux, 2022. Stochastic Acoustic Ray Tracing with Dynamically Orthogonal Differential Equations. In: OCEANS '22 IEEE/MTS Hampton Roads, 17–20 October 2022, pp. 1–10. doi:10.1109/OCEANS47191.2022.9977252
- Charous, A. and P.F.J. Lermusiaux, 2021. Dynamically Orthogonal Differential Equations for Stochastic and Deterministic Reduced-Order Modeling of Ocean Acoustic Wave Propagation. In: OCEANS '21 IEEE/MTS San Diego, 20-23 September 2021, pp. 1-7. doi:10.23919/OCEANS44145.2021.9705914
- Lermusiaux, P.F.J., C. Mirabito, P.J. Haley, Jr., W.H. Ali, A. Gupta, S. Jana, E. Dorfman, A. Laferriere, A. Kofford, G. Shepard, M. Goldsmith, K. Heaney, E. Coelho, J. Boyle, J. Murray, L. Freitag, and A. Morozov, 2020. Real-time Probabilistic Coupled Ocean Physics-Acoustics Forecasting and Data Assimilation for Underwater GPS. In: OCEANS '20 IEEE/MTS, 5-30 October 2020, pp. 1-9. doi:10.1109/IEEECONF38699.2020.9389003
- Lermusiaux, P.F.J., P.J. Haley, Jr., C. Mirabito, W.H. Ali, M. Bhabra, P. Abbot, C.-S. Chiu, and C. Emerson, 2020. Multi-resolution Probabilistic Ocean Physics-Acoustic Modeling: Validation in the New Jersey Continental Shelf. In: OCEANS '20 IEEE/MTS, 5-30 October 2020, pp. 1-9. doi:10.1109/IEEECONF38699.2020.9389193
- Ali, W.H., M.S. Bhabra, P.F.J. Lermusiaux, A. March, J.R. Edwards, K. Rimpau, and P. Ryu, 2019. Stochastic Oceanographic-Acoustic Prediction and Bayesian Inversion for Wide Area Ocean Floor Mapping. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi:10.23919/OCEANS40490.2019.8962870
- Colin, M.E.G.D., T.F. Duda, L.A. te Raa, T. van Zon, P.J. Haley, Jr., P.F.J. Lermusiaux, W.G. Leslie, C. Mirabito, F.P.A. Lam, A.E. Newhall, Y.-T. Lin, J.F. Lynch, 2013. Time-Evolving Acoustic Propagation Modeling in a Complex Ocean Environment, Proceedings of OCEANS - Bergen, 2013 MTS/IEEE , vol., no., pp.1,9, 10-14 June 2013, doi: 10.1109/OCEANS-Bergen.2013.6608051.
- Duda, T.F., Y.-T. Lin, W.G. Zhang, B.D. Cornuelle, P.F.J. Lermusiaux, 2011. Computational Studies of 3D Ocean sound fields in areas of complex seafloor topography and active ocean dynamics. Proceedings of the 10th International Conference on Theoretical and Computational Acoustics, NTU, Taiwan, 12pp.
- Puryear, A., L.J. Burton, P.F.J. Lermusiaux, and V.W.S. Chan, 2009. Underwater acoustic sparse aperture system performance: Using transmitter channel state information for multipath & interference rejection. OCEANS 2009-EUROPE, pp. 1-9, 11-14 May 2009, doi:10.1109/OCEANSE.2009.5278156.
- Robinson, A.R. and P.F.J. Lermusiaux, 2004. Prediction Systems with Data Assimilation for Coupled Ocean Science and Ocean Acoustics, Proceedings of the Sixth International Conference on Theoretical and Computational Acoustics (A. Tolstoy, et al., editors), World Scientific Publishing, 325-342. Refereed invited Keynote Manuscript.
- Lermusiaux, P.F.J., C.-S. Chiu and A.R. Robinson, 2002. Modeling Uncertainties in the Prediction of the Acoustic Wavefield in a Shelfbreak Environment. Refereed invited Manuscript, Proceedings of the 5th International conference on theoretical and computational acoustics, May 21-25, 2001. (Eds: E.-C. Shang, Q. Li and T.F. Gao), World Scientific Publishing Co., 191-200.
- Lermusiaux, P.F.J. and C.-S. Chiu, 2002. Four-dimensional data assimilation for coupled physical-acoustical fields. In "Acoustic Variability, 2002". N.G. Pace and F.B. Jensen (Eds.), Saclantcen. Kluwer Academic Press, 417-424.
- Lermusiaux, P.F.J., A.R. Robinson, P.J. Haley and W.G. Leslie, 2002. Advanced interdisciplinary data assimilation: Filtering and smoothing via error subspace statistical estimation. Proceedings of "The OCEANS 2002 MTS/IEEE" conference, Holland Publications, 795-802.
- Robinson, A.R., P. Abbot, P.F.J. Lermusiaux and L. Dillman, 2002. Transfer of uncertainties through physical-acoustical-sonar end-to-end systems: A conceptual basis. In "Acoustic Variability, 2002:. N.G. Pace and F.B. Jensen (Eds.), SACLANTCEN. Kluwer Academic Press, 603-610.
Lagrangian Modeling
Papers in Refereed Journals
- Kulkarni, C.S. and P.F.J. Lermusiaux, 2025. Persistent Lagrangian Material Coherence in Fluid and Ocean Flows Using Flow Map Composition. Ocean Modelling, sub-judice.
- Feppon, F. and P.F.J. Lermusiaux, 2025. Rigid Sets and Coherent Sets in Realistic Ocean Flows. Nonlinear Processes in Geophysics, sub-judice. doi:10.5194/npg-2022-1
- Aravind, H.M., V. Verma, S. Sarkar, M.A. Freilich, A. Mahadevan, P.J. Haley Jr., P.F.J. Lermusiaux, and M.R. Allshouse, 2023. Lagrangian Surface Signatures Reveal Upper-Ocean Vertical Displacement Conduits Near Oceanic Density Fronts. Ocean Modelling 181, 102136. doi:10.1016/j.ocemod.2022.102136
- Zhan, P., G. Krokos, S. Langodan, D. Guo, H. Dasari, V.P. Papadopoulos, P.F.J. Lermusiaux, O.M. Knio, and I. Hoteit, 2021. Coastal Circulation and Water Transport Properties of the Red Sea Project Lagoon. Ocean Modelling 161, 101791. doi:10.1016/j.ocemod.2021.101791
- Muñoz-Royo, C., T. Peacock, M.H. Alford, J. Smith, A. Le Boyer, C.S. Kulkarni, P.F.J. Lermusiaux, P.J. Haley, Jr., C. Mirabito, D. Wang, E. Eric Adams, R. Ouillon, A. Breugem, B. Decrop, T. Lanckriet, R.B. Supekar, A.J. Rzeznik, A. Gartman, and S.-J. Ju, 2021. Extent of Impact of Deep-Sea Nodule Mining Midwater Plumes Is Influenced by Sediment Loading, Turbulence and Thresholds. Nature Communications Earth & Environment 2(148), pp. 1-16. doi:10.1038/s43247-021-00213-8
- Serra, M., P. Sathe, I. Rypina, A. Kirincich, S.D. Ross, P.F.J. Lermusiaux, A. Allen, T. Peacock, and G. Haller, 2020. Search and Rescue at Sea Aided by Hidden Flow Structures. Nature Communications 11, 1-7. doi:10.1038/s41467-020-16281-x
- Kulkarni, C.S. and P.F.J. Lermusiaux, 2019. Advection without Compounding Errors through Flow Map Composition. Journal of Computational Physics, 398, 108859. doi:10.1016/j.jcp.2019.108859
- Duda, T.F., Y.-T. Lin, A.E. Newhall, K.R. Helfrich, J.F. Lynch, W.G. Zhang, P.F.J. Lermusiaux, and J. Wilkin, 2019. Multiscale Multiphysics Data-Informed Modeling for Three-Dimensional Ocean Acoustic Simulation and Prediction. Journal of the Acoustical Society of America, 146(3), 1996–2015. doi:10.1121/1.5126012
- Feppon, F. and P.F.J. Lermusiaux, 2018. Dynamically Orthogonal Numerical Schemes for Efficient Stochastic Advection and Lagrangian Transport. SIAM Review, 60(3), 595–625. doi:10.1137/16m1109394
- Lermusiaux, P.F.J., 2001. Evolving the subspace of the three-dimensional multiscale ocean variability: Massachusetts Bay. Journal of Marine Systems, Special issue on "Three-dimensional ocean circulation: Lagrangian measurements and diagnostic analyses", 29/1-4, 385-422, doi: 10.1016/S0924-7963(01)00025-2.
Proceedings of Refereed Conferences
- Lermusiaux, P.F.J., M. Doshi, C.S. Kulkarni, A. Gupta, P.J. Haley, Jr., C. Mirabito, F. Trotta, S.J. Levang, G.R. Flierl, J. Marshall, T. Peacock, and C. Noble, 2019. Plastic Pollution in the Coastal Oceans: Characterization and Modeling. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi: 10.23919/OCEANS40490.2019.8962786
- Doshi, M.M., C.S. Kulkarni, W.H. Ali, A. Gupta, P.F.J. Lermusiaux, P. Zhan, I. Hoteit, and O.M. Knio, 2019. Flowmaps and Coherent Sets for Characterizing Residence Times and Connectivity in Lagoons and Coral Reefs: The Case of the Red Sea. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi:10.23919/OCEANS40490.2019.8962643
- Dutt, A., D.N. Subramani, C.S. Kulkarni, and P.F.J. Lermusiaux, 2018. Clustering of Massive Ensemble of Vehicle Trajectories in Strong, Dynamic and Uncertain Ocean Flows. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8604634
- Kulkarni, C.S., P.J. Haley, Jr., P.F.J. Lermusiaux, A. Dutt, A. Gupta, C. Mirabito, D.N. Subramani, S. Jana, W.H. Ali, T. Peacock, C.M. Royo, A. Rzeznik, and R. Supekar, 2018. Real-Time Sediment Plume Modeling in the Southern California Bight. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8653642
- Coulin, J., P. J. Haley, Jr., S. Jana, C.S. Kulkarni, P. F. J. Lermusiaux, T. Peacock, 2017. Environmental Ocean and Plume Modeling for Deep Sea Mining in the Bismarck Sea. In: Oceans '17 MTS/IEEE Anchorage, 1-10, 18-21 September 2017.
- Lermusiaux, P.F.J. and F. Lekien, 2005. Dynamics and Lagrangian Coherent Structures in the Ocean and their Uncertainty. Extended Abstract in report of the "Dynamical System Methods in Fluid Dynamics" Oberwolfach Workshop. Jerrold E. Marsden and Jurgen Scheurle (Eds.), Mathematisches Forschungsinstitut Oberwolfach, July 31st - August 6th, 2005, Germany. 2pp.
Scientific Visualization
Visualization
Proceedings of Refereed Conferences
- Ali, W.H., Y. Gao, C. Foucart, M. Doshi, C. Mirabito, P.J. Haley, and P.F.J. Lermusiaux, 2022. High-Performance Visualization for Ocean Modeling. In: OCEANS '22 IEEE/MTS Hampton Roads, 17–20 October 2022, pp. 1–10. doi:10.1109/OCEANS47191.2022.9977075
- Ali, W.H., M.H. Mirhi, A. Gupta, C.S. Kulkarni, C. Foucart, M.M. Doshi, D.N. Subramani, C. Mirabito, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2019. SeaVizKit: Interactive Maps for Ocean Visualization. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi:10.23919/OCEANS40490.2019.8962794
- Dutt, A., D.N. Subramani, C.S. Kulkarni, and P.F.J. Lermusiaux, 2018. Clustering of Massive Ensemble of Vehicle Trajectories in Strong, Dynamic and Uncertain Ocean Flows. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8604634
- Djurcilov, S., K. Kim, P.F.J. Lermusiaux and A. Pang, 2001. Volume rendering data with uncertainty information. In "Data visualization", Joint Eurographics - IEEE TCVG Symposium on Visualization, D. Ebert, J. M. Favre and R. Peikert (Eds.), Springer-Verlag. pp. 243-252, 355-356.
Learning and Data Assimilation
Data Assimilation
Papers in Refereed Journals
- Gupta, A. and P.F.J. Lermusiaux, 2023. Bayesian Learning of Coupled Biogeochemical-Physical Models. Progress in Oceanography 216, 103050. doi:10.1016/j.pocean.2023.103050
- Lu, P., and P.F.J. Lermusiaux, 2021. Bayesian Learning of Stochastic Dynamical Models. Physica D 427: 133003. doi:10.1016/j.physd.2021.133003
- Rajan, K., F. Aguado, P. Lermusiaux, J. Borges de Sousa, A. Subramaniam, and J. Tintore, 2021. METEOR: A Mobile (Portable) ocEan roboTic
ObsErvatORy. Marine Technology Society Journal 55(3): 74-75. doi:10.4031/MTSJ.55.3.42
- Lin, J. and P.F.J. Lermusiaux, 2021. Minimum-Correction Second-Moment Matching: Theory, Algorithms and Applications. Numerische Mathematik 147(3): 611–650. doi:10.1007/s00211-021-01178-8
- Lolla, T. and P.F.J. Lermusiaux, 2017b. A Gaussian Mixture Model Smoother for Continuous Nonlinear Stochastic Dynamical Systems: Applications. Monthly Weather Review, 145, 2763-2790 DOI:10.1175/MWR-D-16-0065.1.
- Lolla, T. and P.F.J. Lermusiaux, 2017a. A Gaussian Mixture Model Smoother for Continuous Nonlinear Stochastic Dynamical Systems: Theory and Scheme. Monthly Weather Review, 145, 2743-2761, DOI:10.1175/MWR-D-16-0064.1
- Heaney, K. D., P. F. J. Lermusiaux, T. F. Duda and P. J. Haley Jr., 2016.Validation of Genetic Algorithm Based Optimal Sampling for Ocean Data Assimilation. Ocean Dynamics. 66: 1209-1229. doi:10.1007/s10236-016-0976-5.
- Sondergaard, T. and P.F.J. Lermusiaux, 2013b. Data Assimilation with Gaussian Mixture Models using the Dynamically Orthogonal Field Equations. Part II: Applications. Monthly Weather Review, 141, 6, 1761-1785, doi:10.1175/MWR-D-11-00296.1.
- Sondergaard, T. and P.F.J. Lermusiaux, 2013a. Data Assimilation with Gaussian Mixture Models using the Dynamically Orthogonal
Field Equations. Part I. Theory and Scheme. Monthly Weather Review, 141, 6, 1737-1760, doi:10.1175/MWR-D-11-00295.1.
- Sapsis, T.P. and P.F.J. Lermusiaux, 2012. Dynamical criteria for the evolution of the stochastic dimensionality in flows with uncertainty. Physica D, 241(1), 60-76, doi:10.1016/j.physd.2011.10.001.
- Evangelinos, C., P.F.J. Lermusiaux, J. Xu, P.J. Haley, and C.N. Hill, 2011. Many Task Computing for Real-Time Uncertainty Prediction and Data Assimilation in the Ocean. IEEE Transactions on Parallel and Distributed Systems, Special Issue on Many-Task Computing, I. Foster, I. Raicu and Y. Zhao (Guest Eds.), 22, doi: 10.1109/TPDS.2011.64.
- Agarwal, A. and P.F.J. Lermusiaux, 2011. Statistical Field Estimation for Complex Coastal Regions and Archipelagos. Ocean Modeling, 40(2), 164-189, doi: 10.1016/j.ocemod.2011.08.001.
- Cossarini, G., P.F.J. Lermusiaux, and C. Solidoro, 2009. Lagoon of Venice ecosystem: Seasonal dynamics and environmental guidance with uncertainty analyses and error subspace data assimilation, J. Geophys. Res., 114, C06026, doi:10.1029/2008JC005080.
- Haley, P.J. Jr., P.F.J. Lermusiaux, A.R. Robinson, W.G. Leslie, O. Logutov, G. Cossarini, X.S. Liang, P. Moreno, S.R. Ramp, J.D. Doyle, J. Bellingham, F. Chavez, S. Johnston, 2009. Forecasting and Reanalysis in the Monterey Bay/California Current Region for the Autonomous Ocean Sampling Network-II Experiment. Special issue on AOSN-II, Deep Sea Research, Part II. ISSN 0967-0645, doi: 10.1016/j.dsr2.2008.08.010.
- Lam, F.P, P.J. Haley, Jr., J. Janmaat, P.F.J. Lermusiaux, W.G. Leslie, and M.W. Schouten, 2009. At-sea Real-time Coupled Four-dimensional Oceanographic and Acoustic Forecasts during Battlespace Preparation 2007. Special issue of the Journal of Marine Systems on "Coastal processes: challenges for monitoring and prediction", Drs. J.W. Book, Prof. M. Orlic and Michel Rixen (Guest Eds.), 78, S306-S320, doi: 10.1016/j.jmarsys.2009.01.029.
- Wang, D., P.F.J. Lermusiaux, P.J. Haley, D. Eickstedt, W.G. Leslie and H. Schmidt, 2009. Acoustically Focused Adaptive Sampling and On-board Routing for Marine Rapid Environmental Assessment. Special issue of Journal of Marine Systems on "Coastal processes: challenges for monitoring and prediction", Drs. J.W. Book, Prof. M. Orlic and Michel Rixen (Guest Eds), 78, S393-S407, doi: 10.1016/j.jmarsys.2009.01.037.
- Logutov, O.G., 2008. A multigrid methodology for assimilation of measurements into
regional tidal models. Ocean Dynamics, 58, 441-460, doi:10.1007/s10236-008-0163-4.
- Yilmaz, N.K., C. Evangelinos, P.F.J. Lermusiaux and N. Patrikalakis, 2008. Path Planning of Autonomous Underwater Vehicles for Adaptive Sampling Using Mixed Integer Linear Programming. IEEE Transactions, Journal of Oceanic Engineering, 33 (4), 522-537. doi: 10.1109/JOE.2008.2002105.
- Logutov, O.G. and Lermusiaux, P.F.J., 2008. Inverse Barotropic Tidal Estimation for Regional Ocean Applications. Ocean Modeling, 25, 17-34. doi: 10.1016/j.ocemod.2008.06.004.
- Lermusiaux, P.F.J, 2007. Adaptive Modeling, Adaptive Data Assimilation and Adaptive Sampling. Refereed invited manuscript. Special issue on "Mathematical Issues and Challenges in Data Assimilation for Geophysical Systems: Interdisciplinary Perspectives". C.K.R.T. Jones and K. Ide, Eds. Physica D, Vol 230, 172-196, doi:
10.1016/j.physd.2007.02.014.
- Lermusiaux, P.F.J., P.J. Haley Jr. and N.K. Yilmaz, 2007. Environmental Prediction, Path Planning and Adaptive Sampling: Sensing and Modeling for Efficient Ocean Monitoring, Management and Pollution Control. Sea Technology, 48(9), 35-38.
- Lermusiaux, P.F.J., 2006. Uncertainty Estimation and Prediction for Interdisciplinary Ocean Dynamics. Refereed manuscript, Special issue on "Uncertainty Quantification". J. Glimm and G. Karniadakis, Eds. Journal of Computational Physics, 217, 176-199. doi: 10.1016/j.jcp.2006.02.010.
- Lermusiaux, P.F.J, C. Evangelinos, R. Tian, P.J. Haley, J.J. McCarthy, N.M. Patrikalakis, A.R. Robinson and H. Schmidt, 2004. Adaptive Coupled Physical and Biogeochemical Ocean Predictions: A Conceptual Basis. Refereed invited manuscript, F. Darema (Ed.), Lecture Notes in Computer Science, 3038, 685-692.
- Besiktepe, S.T., P.F.J. Lermusiaux and A.R. Robinson, 2003. Coupled physical and biogeochemical data driven simulations of Massachusetts Bay in late summer: real-time and post-cruise data assimilation. Special issue on "The use of data assimilation in coupled hydrodynamic, ecological and bio-geo-chemical models of the oceans", M. Gregoire, P. Brasseur and P.F.J. Lermusiaux (Eds.), Journal of Marine Systems, 40, 171-212.
- Onken, R., A.R. Robinson, P.F.J. Lermusiaux, P.J. Haley Jr. and L.A. Anderson, 2003. Data driven simulations of synoptic circulation and transports in the Tunisia-Sardinia-Sicily region. Journal of Geophysical Research, 108, (C9), 8123-8136.
- Gregoire, M., P. Brasseur and P.F.J. Lermusiaux (Guest Eds.), 2003. The use of data assimilation in coupled hydrodynamic, ecological and bio-geo-chemical models of the ocean. Journal of Marine Systems, 40, 1-3.
- Robinson, A.R. and P.F.J. Lermusiaux, 2002. Data assimilation for modeling and predicting coupled physical-biological interactions in the sea. In "The Sea, Vol. 12: Biological-Physical Interactions in the Ocean", Robinson A.R., J.R. McCarthy and B.J. Rothschild (Eds.). 475-536.
- Lermusiaux, P.F.J., 2002. On the mapping of multivariate geophysical fields: sensitivity to size, scales and dynamics. Journal of Atmospheric and Oceanic Technology, 19, 1602-1637.
- Robinson, A.R. and P.F.J. Lermusiaux, 2001. Data Assimilation in Models. Encyclopedia of Ocean Sciences, Academic Press Ltd., London, 623-634.
- Lermusiaux, P.F.J., 2001. Evolving the subspace of the three-dimensional multiscale ocean variability: Massachusetts Bay. Journal of Marine Systems, Special issue on "Three-dimensional ocean circulation: Lagrangian measurements and diagnostic analyses", 29/1-4, 385-422, doi: 10.1016/S0924-7963(01)00025-2.
- Lermusiaux, P.F.J., D.G.M. Anderson and C.J. Lozano, 2000. On the mapping of multivariate geophysical fields: error and variability subspace estimates. The Quarterly Journal of the Royal Meteorological Society, April B, 1387-1430.
- Lermusiaux, P.F.J., 1999b. Estimation and study of mesoscale variability in the Strait of Sicily. Dynamics of Atmospheres and Oceans, 29, 255-303.
- Lermusiaux, P.F.J., 1999a. Data assimilation via Error Subspace Statistical Estimation. Part II: Middle Atlantic Bight shelfbreak front simulations and ESSE validation. Monthly Weather Review, 127(7), 1408-1432, doi: 10.1175/1520-0493(1999)127<1408:DAVESS>
2.0.CO;2.
- Lermusiaux, P.F.J. and A.R. Robinson, 1999. Data assimilation via Error Subspace Statistical Estimation. Part I: Theory and schemes. Monthly Weather Review, 127(7), 1385-1407,
doi: 10.1175/1520-0493(1999)
127<1385:DAVESS>2.0.CO;2.
- Robinson, A.R., P.F.J. Lermusiaux and N.Q. Sloan, III, 1998. Data Assimilation. In "The Sea: The Global Coastal Ocean I", Processes and Methods (K.H. Brink and A.R. Robinson, Editors), Volume 10, John Wiley and Sons, New York, NY, 541-594
Proceedings of Refereed Conferences
- Ali, W.H., M.S. Bhabra, P.F.J. Lermusiaux, A. March, J.R. Edwards, K. Rimpau, and P. Ryu, 2019. Stochastic Oceanographic-Acoustic Prediction and Bayesian Inversion for Wide Area Ocean Floor Mapping. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi:10.23919/OCEANS40490.2019.8962870
- Evangelinos, C., P.F.J. Lermusiaux, J. Xu, P.J. Haley, and C.N. Hill, 2009. Many Task Computing for Multidisciplinary Ocean Sciences: Real-Time Uncertainty Prediction and Data Assimilation. Conference on High Performance Networking and Computing, Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers (Portland, OR, 16 November 2009), 10pp. doi.acm.org/10.1145/1646468.1646482.
- Wang, D., P.F.J. Lermusiaux, P.J. Haley, W.G. Leslie and H. Schmidt, 2006. Adaptive Acoustical-Environmental Assessment for the Focused Acoustic Field-05 At-sea Exercise, Oceans 2006, 6pp, Boston, MA, 18-21 Sept. 2006, doi: 10.1109/OCEANS.2006.306904.
- Lermusiaux, P.F.J., P. Malanotte-Rizzoli, D. Stammer, J. Carton, J. Cummings and A.M. Moore, 2006. "Progress and Prospects of U.S. Data Assimilation in Ocean Research". Oceanography, Special issue on "Advances in Computational Oceanography", T. Paluszkiewicz and S. Harper, Eds., 19, 1, 172-183.
- Robinson, A.R. and P.F.J. Lermusiaux, 2004. Prediction Systems with Data Assimilation for Coupled Ocean Science and Ocean Acoustics, Proceedings of the Sixth International Conference on Theoretical and Computational Acoustics (A. Tolstoy, et al., editors), World Scientific Publishing, 325-342. Refereed invited Keynote Manuscript.
- Lermusiaux, P.F.J. and C.-S. Chiu, 2002. Four-dimensional data assimilation for coupled physical-acoustical fields. In "Acoustic Variability, 2002". N.G. Pace and F.B. Jensen (Eds.), Saclantcen. Kluwer Academic Press, 417-424.
- Lermusiaux, P.F.J., A.R. Robinson, P.J. Haley and W.G. Leslie, 2002. Advanced interdisciplinary data assimilation: Filtering and smoothing via error subspace statistical estimation. Proceedings of "The OCEANS 2002 MTS/IEEE" conference, Holland Publications, 795-802.
- Robinson, A.R., P. Abbot, P.F.J. Lermusiaux and L. Dillman, 2002. Transfer of uncertainties through physical-acoustical-sonar end-to-end systems: A conceptual basis. In "Acoustic Variability, 2002:. N.G. Pace and F.B. Jensen (Eds.), SACLANTCEN. Kluwer Academic Press, 603-610.
Scientific Machine Learning: Deep Learning, Bayesian Learning and Adaptive Modeling
Papers in Refereed Journals
- Grossi, M.D., S. Jegelka, P.F.J. Lermusiaux, and T.M. Özgökmen, 2025. Surface Drifter Trajectory Prediction in the Gulf of Mexico Using Neural Networks. Ocean Modelling, sub-judice. Special issue: Machine Learning for Ocean Modelling.
- Gupta, A., and P.F.J. Lermusiaux, 2023. Generalized Neural Closure Models with Interpretability. Scientific Reports 13, 10364. doi:10.1038/s41598-023-35319-w
- Gupta, A. and P.F.J. Lermusiaux, 2023. Bayesian Learning of Coupled Biogeochemical-Physical Models. Progress in Oceanography 216, 103050. doi:10.1016/j.pocean.2023.103050
- Patrikalakis, N.M., P.F.J. Lermusiaux, C. Evangelinos, J.J. McCarthy, A.R. Robinson, H. Schmidt, P.J. Haley, S. Lalis, R. Tian, W.G. Leslie, and W. Cho, 2023. Toward Dynamic Data-Driven Systems for Rapid Adaptive Interdisciplinary Ocean Forecasting. Chapter 14, Handbook of Dynamic Data Driven Applications Systems, F. Darema, E.P. Blasch, S. Ravela, and A.J. Aved (Eds.), pp. 377-395. doi:10.1007/978-3-031-27986-7_14
- Foucart, C., A. Charous, and P.F.J. Lermusiaux, 2023. Deep Reinforcement Learning for Adaptive Mesh Refinement. Journal of Computational Physics 491, 112381. doi:10.1016/j.jcp.2023.112381
- Lu, P., and P.F.J. Lermusiaux, 2021. Bayesian Learning of Stochastic Dynamical Models. Physica D 427: 133003. doi:10.1016/j.physd.2021.133003
- Gupta, A. and P.F.J. Lermusiaux, 2021. Neural Closure Models for Dynamical Systems. Proceedings of The Royal Society A, 477(2252), pp. 1–29. doi:10.1098/rspa.2020.1004
- Gil, Y., S.A. Pierce, H. Babaie, A. Banerjee, K. Borne, G. Bust, M. Cheatham, I. Ebert-Uphoff, C. Gomes, M. Hill, J. Horel, L. Hsu, J. Kinter, C. Knoblock, D. Krum, V. Kumar, P.F.J. Lermusiaux, Y. Liu, C. North, V. Pankratius, S. Peters, B. Plale, A. Pope, S. Ravela, J. Restrepo, A. Ridley, H. Samet, and S. Shekhar, 2019. Intelligent Systems for Geosciences: An Essential Research Agenda. Communications of the ACM, 62(1), 76–84. doi:10.1145/3192335
- Lermusiaux, P.F.J, 2007. Adaptive Modeling, Adaptive Data Assimilation and Adaptive Sampling. Refereed invited manuscript. Special issue on "Mathematical Issues and Challenges in Data Assimilation for Geophysical Systems: Interdisciplinary Perspectives". C.K.R.T. Jones and K. Ide, Eds. Physica D, Vol 230, 172-196, doi:
10.1016/j.physd.2007.02.014.
- Lermusiaux, P.F.J, C. Evangelinos, R. Tian, P.J. Haley, J.J. McCarthy, N.M. Patrikalakis, A.R. Robinson and H. Schmidt, 2004. Adaptive Coupled Physical and Biogeochemical Ocean Predictions: A Conceptual Basis. Refereed invited manuscript, F. Darema (Ed.), Lecture Notes in Computer Science, 3038, 685-692.
- Evangelinos C., R. Chang, P.F.J. Lermusiaux and N.M. Patrikalakis, 2003. Rapid real-time interdisciplinary ocean forecasting using adaptive sampling and adaptive modeling and legacy codes: Component encapsulation using XML. Lecture Notes in Computer Science, 2660, 375-384.
Proceedings of Refereed Conferences
- Rajagopal, E., A.N.S. Babu, T. Ryu, P.J. Haley, Jr., C. Mirabito, and P.F.J. Lermusiaux, 2023. Evaluation of Deep Neural Operator Models toward Ocean Forecasting. In: OCEANS '23 IEEE/MTS Gulf Coast, 25–28 September 2023. doi:10.23919/OCEANS52994.2023.10337380
- Haley, Jr., P.J., A. Gupta, C. Mirabito, and P. F. J. Lermusiaux, 2020. Towards Bayesian Ocean Physical-Biogeochemical-Acidification Prediction and Learning Systems for Massachusetts Bay. In: OCEANS '20 IEEE/MTS, 5-30 October 2020, pp. 1-9, doi:10.1109/IEEECONF38699.2020.9389210
- Kulkarni, C.S., A. Gupta, and P.F.J. Lermusiaux, 2020. Sparse Regression and Adaptive Feature Generation for the Discovery of Dynamical Systems. In: Darema, F., E. Blasch, S. Ravela, and A. Aved (eds.), Dynamic Data Driven Application Systems. DDDAS 2020. Lecture Notes in Computer Science 12312, 208–216. doi:10.1007/978-3-030-61725-7_25
- Gupta, A., P.J. Haley, D.N. Subramani, and P.F.J. Lermusiaux, 2019. Fish Modeling and Bayesian Learning for the Lakshadweep Islands. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi: 10.23919/OCEANS40490.2019.8962892
- Edwards, J., J. Smith, A. Girard, D. Wickman, P.F.J. Lermusiaux, D.N. Subramani, P.J. Haley, Jr., C. Mirabito, C.S. Kulkarni, and,
S. Jana, 2017. Data-driven Learning and Modeling of AUV Operational Characteristics for Optimal Path Planning.
In: Oceans '17 MTS/IEEE Aberdeen, 1-5, 19-22 June 2017, DOI: 10.1109/OCEANSE.2017.8084779
Applications to Ocean Dynamics
Physical Oceanography
Papers in Refereed Journals
- Garcia-Jove, M., B. Mourre, N.D. Zarokanellos, P.F.J. Lermusiaux, D.L. Rudnick, J. Tintoré, 2022. Frontal Dynamics in the Alboran Sea: 2. Processes for Vertical Velocities Development. Journal of Geophysical Research: Oceans 127(3): e2021JC017428. doi:10.1029/2021JC017428
- Pan, Y., P.J. Haley, Jr., and P.F.J. Lermusiaux, 2021. Interactions of Internal Tides with a Heterogeneous and Rotational Ocean. Journal of Fluid Mechanics 920, A18. doi:10.1017/jfm.2021.423
- Zhan, P., G. Krokos, S. Langodan, D. Guo, H. Dasari, V.P. Papadopoulos, P.F.J. Lermusiaux, O.M. Knio, and I. Hoteit, 2021. Coastal Circulation and Water Transport Properties of the Red Sea Project Lagoon. Ocean Modelling 161, 101791. doi:10.1016/j.ocemod.2021.101791
- Muñoz-Royo, C., T. Peacock, M.H. Alford, J. Smith, A. Le Boyer, C.S. Kulkarni, P.F.J. Lermusiaux, P.J. Haley, Jr., C. Mirabito, D. Wang, E. Eric Adams, R. Ouillon, A. Breugem, B. Decrop, T. Lanckriet, R.B. Supekar, A.J. Rzeznik, A. Gartman, and S.-J. Ju, 2021. Extent of Impact of Deep-Sea Nodule Mining Midwater Plumes Is Influenced by Sediment Loading, Turbulence and Thresholds. Nature Communications Earth & Environment 2(148), pp. 1-16. doi:10.1038/s43247-021-00213-8
- Johnston, T.M.S., J.A. MacKinnon, P.L. Colin, P.J. Haley, Jr., P.F.J. Lermusiaux, A.J. Lucas, M.A. Merrifield, S.T. Merrifield,
C. Mirabito, J.D. Nash, C.Y. Ou, M. Siegelman, E.J. Terrill, A.F. Waterhouse, 2019. Energy and Momentum Lost to Wake Eddies and Lee Waves Generated by the North Equatorial Current
and Tidal Flows at Peleliu, Palau, Oceanography 32(4), 110–125. doi:10.5670/oceanog.2019.417
- Johnston, T.M.S., M.C. Schönau, T. Paluszkiewicz, J.A. MacKinnon, B.K. Arbic, P.L. Colin, M.H. Alford, M. Andres, L. Centurioni, H.C. Graber, K.R. Helfrich, V. Hormann, P.F.J. Lermusiaux, R.C. Musgrave, B.S. Powell, B. Qiu, D.L. Rudnick, H.L. Simmons, L. St. Laurent, E.J. Terrill, D.S. Trossman, G. Voet, H.W. Wijesekera, and K.L. Zeiden, 2019. Flow
Encountering Abrupt Topography (FLEAT): A multiscale observational and modeling program to understand how topography affects flows in the western North Pacific. Oceanography 32(4):10–21.
doi:10.5670/oceanog.2019.407
- Jana, S., A. Gangopadhyay, P.F.J. Lermusiaux, A. Chakraborty, S. Sil, and P.J.
Haley Jr., 2018. Sensitivity of the Bay of Bengal Upper Ocean to Different Winds and River Input Conditions. Journal of Marine Systems, 187, 206–222. doi:10.1016/j.jmarsys.2018.08.001
- Pinardi, N., P.F.J. Lermusiaux, K.H. Brink, and R.H. Preller, 2017. The Sea: The Science of Ocean Prediction. Preface to The Sea. Volume 17, The Science of Ocean Prediction, Part 1. Special Issue, J. Marine Res. 75(3). pp. 101-102
- Pinardi, N., L. Cavaleri, P. De Mey, C. Fratianni, I. Huthnance, P.F.J. Lermusiaux, A. Navarra, R. Preller, and S. Tibalidi, 2017. From Weather to Ocean Predictions: an Historical Viewpoint. The Sea. Volume 17, The Science of Ocean Prediction, Part 1, Special Issue, J. Marine Res. 75(3). pp. 103-159. https://doi.org/10.1357/002224017821836789
- Centurioni, L.R., V. Hormann, L. D. Talley, I. Arzeno, L. Beal, M. Caruso, P. Conry, R. Echols, H. J. S. Fernando, S. N. Giddings, A. Gordon, H. Graber, R. Harcourt, S. R. Jayne, T. G. Jensen, C. M. Lee, P. F. J. Lermusiaux, P. L’Hegaret, A. J. Lucas, A. Mahadevan, J. L. McClean, G. Pawlak, L. Rainville, S. Riser, H. Seo, A. Y. Shcherbina, E. Skyllingstad, J. Sprintall, B. Subrahmanyam, E. Terrill, R. E. Todd, C. Trott, H. N. Ulloa, and H. Wang, 2017. Northern Arabian Sea Circulation-Autonomous Research (NASCar): A Research Initiative Based on Autonomous Sensors. Oceanography 30(2):74–87, https://doi.org/10.5670/oceanog.2017.224.
- Kelly, S.M., P.F.J. Lermusiaux, T. F. Duda, and P.J. Haley Jr., 2016. A Coupled-mode Shallow Water model for tidal
analysis: Internal-tide reflection and refraction by the Gulf Stream. J. Phys. Oceanogr., 46, 3661–3679, doi: 10.1175/JPO-D-16-0018.1.
- Kelly, S.M. and P.F.J. Lermusiaux, 2016. Internal-tide interactions with the Gulf Stream and Middle Atlantic Bight shelfbreak front. Journal of Geophysical Research - Oceans, 121, 6271–6294, doi:10.1002/2016JC011639.
- Sapsis, T.P., M.P. Ueckermann and P.F.J. Lermusiaux, 2013. Global Analysis of Navier-Stokes and Boussinesq Stochastic Flows using Dynamical Orthogonality, J. Fluid Mech., 734, 83-113. doi:10.1017/jfm.2013.458
- Gawarkiewicz, G., S. Jan, P.F.J. Lermusiaux, J.L. McClean, L. Centurioni, K. Taylor, B. Cornuelle, T.F. Duda, J. Wang, Y.J. Yang, T. Sanford, R.-C. Lien, C. Lee, M.-A. Lee, W. Leslie, P.J. Haley Jr., P.P. Niiler, G. Gopalakrishnan, P. Velez-Belchi, D.-K. Lee, and Y.Y. Kim. 2011. Circulation and intrusions northeast of Taiwan: Chasing and predicting uncertainty in the cold dome. Oceanography, 24(4):110-121, http://dx.doi.org/10.5670/oceanog.2011.99.
- Lermusiaux, P.F.J, A.J. Miller and N. Pinardi, 2011. Special issue of Dynamics of Atmospheres and Oceans in honor of Prof. A.R. Robinson, Editorial, Dynamics of Atmospheres and Oceans, 52, 1-3, doi:10.1016/j.dynatmoce.2011.08.001.
- Ramp, S.R., P.F.J. Lermusiaux, I. Shulman, Y. Chao, R.E. Wolf, and F.L. Bahr, 2011. Oceanographic and Atmospheric Conditions on the Continental Shelf North of the Monterey Bay during August 2006. Dynamics of Atmospheres and Oceans, 52, 192-223, doi:10.1016/j.dynatmoce.2011.04.005.
- Gangopadhyay, A., P.F.J. Lermusiaux, L. Rosenfeld, A.R. Robinson, L. Calado, H.S. Kim, W.G. Leslie and P.J. Haley, Jr., 2011. The California Current System: A Multiscale Overview and the Development of a Feature-Oriented Regional Modeling System (FORMS). Dynamics of Atmospheres and Oceans, 52, 131-169, doi:10.1016/j.dynatmoce.2011.04.003.
- Ramp, S.R., R. E. Davis, N. E. Leonard, I. Shulman, Y. Chao, A. R. Robinson, J. Marsden, P.F.J. Lermusiaux, D. Fratantoni, J. D. Paduan, F. Chavez, F. L. Bahr, S. Liang, W. Leslie, and Z. Li, 2009. Preparing to Predict: The Second Autonomous Ocean Sampling Network (AOSN-II) Experiment in the Monterey Bay. Special issue on AOSN-II, Deep Sea Research, Part II, 56, 68-86, doi: 10.1016/j.dsr2.2008.08.013.
- Haley, P.J. Jr., P.F.J. Lermusiaux, A.R. Robinson, W.G. Leslie, O. Logutov, G. Cossarini, X.S. Liang, P. Moreno, S.R. Ramp, J.D. Doyle, J. Bellingham, F. Chavez, S. Johnston, 2009. Forecasting and Reanalysis in the Monterey Bay/California Current Region for the Autonomous Ocean Sampling Network-II Experiment. Special issue on AOSN-II, Deep Sea Research, Part II. ISSN 0967-0645, doi: 10.1016/j.dsr2.2008.08.010.
- Lam, F.P, P.J. Haley, Jr., J. Janmaat, P.F.J. Lermusiaux, W.G. Leslie, and M.W. Schouten, 2009. At-sea Real-time Coupled Four-dimensional Oceanographic and Acoustic Forecasts during Battlespace Preparation 2007. Special issue of the Journal of Marine Systems on "Coastal processes: challenges for monitoring and prediction", Drs. J.W. Book, Prof. M. Orlic and Michel Rixen (Guest Eds.), 78, S306-S320, doi: 10.1016/j.jmarsys.2009.01.029.
- Logutov, O.G., 2008. A multigrid methodology for assimilation of measurements into
regional tidal models. Ocean Dynamics, 58, 441-460, doi:10.1007/s10236-008-0163-4.
- Deleersnijder, E. and P.F.J. Lermusiaux, (Guest Eds.), 2008. Multi-Scale Modelling: Nested Grid and Unstructured Mesh Approaches, Editorial. Ocean Dynamics, 58, 335-336, Springer. doi: 10.1007/s10236-008-0170-5.
- Logutov, O.G. and Lermusiaux, P.F.J., 2008. Inverse Barotropic Tidal Estimation for Regional Ocean Applications. Ocean Modeling, 25, 17-34. doi: 10.1016/j.ocemod.2008.06.004.
- Yilmaz, N.K., C. Evangelinos, N.M. Patrikalakis, P.F.J. Lermusiaux, P.J. Haley, W.G. Leslie, A.R. Robinson, D. Wang and H. Schmidt, 2006a. Path Planning Methods for Adaptive Sampling of Environmental and Acoustical Ocean Fields, Oceans 2006, 6pp, Boston, MA, 18-21 Sept. 2006, doi: 10.1109/OCEANS.2006.306841.
- Besiktepe, S.T., P.F.J. Lermusiaux and A.R. Robinson, 2003. Coupled physical and biogeochemical data driven simulations of Massachusetts Bay in late summer: real-time and post-cruise data assimilation. Special issue on "The use of data assimilation in coupled hydrodynamic, ecological and bio-geo-chemical models of the oceans", M. Gregoire, P. Brasseur and P.F.J. Lermusiaux (Eds.), Journal of Marine Systems, 40, 171-212.
- Onken, R., A.R. Robinson, P.F.J. Lermusiaux, P.J. Haley Jr. and L.A. Anderson, 2003. Data driven simulations of synoptic circulation and transports in the Tunisia-Sardinia-Sicily region. Journal of Geophysical Research, 108, (C9), 8123-8136.
- Gregoire, M., P. Brasseur and P.F.J. Lermusiaux (Guest Eds.), 2003. The use of data assimilation in coupled hydrodynamic, ecological and bio-geo-chemical models of the ocean. Journal of Marine Systems, 40, 1-3.
- Lermusiaux, P.F.J. and A.R. Robinson, 2001. Features of dominant mesoscale variability, circulation patterns and dynamics in the Strait of Sicily. Deep Sea Research. 48, (9), 1953-1997.
- Lermusiaux, P.F.J., 1999b. Estimation and study of mesoscale variability in the Strait of Sicily. Dynamics of Atmospheres and Oceans, 29, 255-303.
- Robinson, A.R., J. Sellschopp, A. Warn-Varnas, W.G. Leslie, C.J. Lozano, P.J. Haley Jr., L.A. Anderson and P.F.J. Lermusiaux, 1999. The Atlantic Ionian Stream. Journal of Marine Systems, 20, 129-156.
- Lermusiaux, P.F.J., 1999a. Data assimilation via Error Subspace Statistical Estimation. Part II: Middle Atlantic Bight shelfbreak front simulations and ESSE validation. Monthly Weather Review, 127(7), 1408-1432, doi: 10.1175/1520-0493(1999)127<1408:DAVESS>
2.0.CO;2.
- Miller, A.J., P.F.J. Lermusiaux and P.-M. Poulain, 1996. A Topographic-Rossby mode resonance over the Iceland-Faeroe Ridge. Journal of Physical Oceanography, 26 (12), 2735-2747.
doi: http://dx.doi.org/10.1175/1520-0485(1996)026<2735:ATMROT>2.0.CO;2.
Proceedings of Refereed Conferences
- Jana, S., A. Gangopadhyay, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2022. Sound Speed Variability over Bay of Bengal from Argo Observations (2011-2020). In: OCEANS 2022 Chennai, February 21-24, 2022, pp. 1-8. doi:10.1109/OCEANSChennai45887.2022.9775509
- Lermusiaux, P.F.J., M. Doshi, C.S. Kulkarni, A. Gupta, P.J. Haley, Jr., C. Mirabito, F. Trotta, S.J. Levang, G.R. Flierl, J. Marshall, T. Peacock, and C. Noble, 2019. Plastic Pollution in the Coastal Oceans: Characterization and Modeling. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi: 10.23919/OCEANS40490.2019.8962786
- Kulkarni, C.S., P.J. Haley, Jr., P.F.J. Lermusiaux, A. Dutt, A. Gupta, C. Mirabito, D.N. Subramani, S. Jana, W.H. Ali, T. Peacock, C.M. Royo, A. Rzeznik, and R. Supekar, 2018. Real-Time Sediment Plume Modeling in the Southern California Bight. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8653642
- Coulin, J., P. J. Haley, Jr., S. Jana, C.S. Kulkarni, P. F. J. Lermusiaux, T. Peacock, 2017. Environmental Ocean and Plume Modeling for Deep Sea Mining in the Bismarck Sea. In: Oceans '17 MTS/IEEE Anchorage, 1-10, 18-21 September 2017.
- Duda T.F., W.G. Zhang, K.R. Helfrich, A.E. Newhall, Y.-T. Lin, J.F. Lynch, P.F.J. Lermusiaux, P.J. Haley Jr., J. Wilkin, 2014. Issues and Progress in the Prediction of Ocean Submesoscale Features and Internal Waves. OCEANS'14 MTS/IEEE.
- Evangelinos, C., P.F.J. Lermusiaux, J. Xu, P.J. Haley, and C.N. Hill, 2009. Many Task Computing for Multidisciplinary Ocean Sciences: Real-Time Uncertainty Prediction and Data Assimilation. Conference on High Performance Networking and Computing, Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers (Portland, OR, 16 November 2009), 10pp. doi.acm.org/10.1145/1646468.1646482.
- Xu, J., P.F.J. Lermusiaux, P.J. Haley Jr., W.G. Leslie and O.G. Logutov, 2008. Spatial and Temporal Variations in Acoustic propagation during the PLUSNet-07 Exercise in Dabob Bay. Acoustical Society of America, Proceedings of Meetings on Acoustics (POMA). 155th Meeting, Vol. 4. 11pp. doi: 10.1121/1.2988093.
- Robinson, A.R., J. Sellschopp, W.G. Leslie, A. Alvarez, G. Baldasserini, P.J. Haley, P.F.J. Lermusiaux, C.J. Lozano, E. Nacini, R. Onken, R. Stoner, P. Zanasca, 2003. Forecasting synoptic transients in the Eastern Ligurian Sea. In "Rapid Environmental Assessment", Bovio, E., R. Tyce and H. Schmidt (Editors), SACLANTCEN Conference Proceedings Series CP-46, Saclantcen, La Spezia, Italy.
- Robinson, A.R. and the LOOPS Group, 1999.
Real-time Forecasting of the Multidisciplinary Coastal Ocean with
the Littoral Ocean Observing and Predicting System (LOOPS).
Preprint Volume of the Third Conference on Coastal Atmospheric and
Oceanic Prediction and Processes, 3-5 November 1999, New Orleans,
LA, American Meteorological Society, Boston, MA.
Biogeochemical-Physical Interactions
Papers in Refereed Journals
- Gupta, A. and P.F.J. Lermusiaux, 2023. Bayesian Learning of Coupled Biogeochemical-Physical Models. Progress in Oceanography 216, 103050. doi:10.1016/j.pocean.2023.103050
- Lermusiaux, P.F.J., P.J. Haley, Jr., W.G. Leslie, A. Agarwal, O. Logutov and L.J. Burton, 2011. Multiscale Physical and Biological Dynamics in the Philippines Archipelago: Predictions and Processes. Oceanography. PhilEx Issue, 24(1), 70-89, doi:10.5670/oceanog.2011.05.
- Ueckermann, M.P. and P.F.J. Lermusiaux, 2010. High Order Schemes for 2D Unsteady Biogeochemical Ocean Models. Ocean Dynamics, 60, 1415-1445, doi:10.1007/s10236-010-0351-x
- Cossarini, G., P.F.J. Lermusiaux, and C. Solidoro, 2009. Lagoon of Venice ecosystem: Seasonal dynamics and environmental guidance with uncertainty analyses and error subspace data assimilation, J. Geophys. Res., 114, C06026, doi:10.1029/2008JC005080.
- Lermusiaux, P.F.J, 2007. Adaptive Modeling, Adaptive Data Assimilation and Adaptive Sampling. Refereed invited manuscript. Special issue on "Mathematical Issues and Challenges in Data Assimilation for Geophysical Systems: Interdisciplinary Perspectives". C.K.R.T. Jones and K. Ide, Eds. Physica D, Vol 230, 172-196, doi:
10.1016/j.physd.2007.02.014.
- Lermusiaux, P.F.J., 2006. Uncertainty Estimation and Prediction for Interdisciplinary Ocean Dynamics. Refereed manuscript, Special issue on "Uncertainty Quantification". J. Glimm and G. Karniadakis, Eds. Journal of Computational Physics, 217, 176-199. doi: 10.1016/j.jcp.2006.02.010.
- Lermusiaux, P.F.J, C. Evangelinos, R. Tian, P.J. Haley, J.J. McCarthy, N.M. Patrikalakis, A.R. Robinson and H. Schmidt, 2004. Adaptive Coupled Physical and Biogeochemical Ocean Predictions: A Conceptual Basis. Refereed invited manuscript, F. Darema (Ed.), Lecture Notes in Computer Science, 3038, 685-692.
- Besiktepe, S.T., P.F.J. Lermusiaux and A.R. Robinson, 2003. Coupled physical and biogeochemical data driven simulations of Massachusetts Bay in late summer: real-time and post-cruise data assimilation. Special issue on "The use of data assimilation in coupled hydrodynamic, ecological and bio-geo-chemical models of the oceans", M. Gregoire, P. Brasseur and P.F.J. Lermusiaux (Eds.), Journal of Marine Systems, 40, 171-212.
- Gregoire, M., P. Brasseur and P.F.J. Lermusiaux (Guest Eds.), 2003. The use of data assimilation in coupled hydrodynamic, ecological and bio-geo-chemical models of the ocean. Journal of Marine Systems, 40, 1-3.
- Robinson, A.R. and P.F.J. Lermusiaux, 2002. Data assimilation for modeling and predicting coupled physical-biological interactions in the sea. In "The Sea, Vol. 12: Biological-Physical Interactions in the Ocean", Robinson A.R., J.R. McCarthy and B.J. Rothschild (Eds.). 475-536.
- Robinson, A.R., B.J. Rothschild, W.G. Leslie, J.J. Bisagni, M.F. Borges, W.S. Brown, D. Cai, P. Fortier, A. Gangopadhyay, P.J. Haley, Jr., H.S. Kim, L. Lanerolle, P.F.J. Lermusiaux, C.J. Lozano, M.G. Miller, G. Strout and M.A. Sundermeyer, 2001. The development and demonstration of an advanced fisheries management information system. Proc. of the 17th Conference on Interactive Information and Processing Systems for Meteorology, Oceanography and Hydrology, Albuquerque, New Mexico. American Meteorological Society, 186-190.
Proceedings of Refereed Conferences
- Haley, Jr., P.J., A. Gupta, C. Mirabito, and P. F. J. Lermusiaux, 2020. Towards Bayesian Ocean Physical-Biogeochemical-Acidification Prediction and Learning Systems for Massachusetts Bay. In: OCEANS '20 IEEE/MTS, 5-30 October 2020, pp. 1-9, doi:10.1109/IEEECONF38699.2020.9389210
- Gupta, A., P.J. Haley, D.N. Subramani, and P.F.J. Lermusiaux, 2019. Fish Modeling and Bayesian Learning for the Lakshadweep Islands. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi: 10.23919/OCEANS40490.2019.8962892
- Robinson, A.R. and the LOOPS Group, 1999.
Real-time Forecasting of the Multidisciplinary Coastal Ocean with
the Littoral Ocean Observing and Predicting System (LOOPS).
Preprint Volume of the Third Conference on Coastal Atmospheric and
Oceanic Prediction and Processes, 3-5 November 1999, New Orleans,
LA, American Meteorological Society, Boston, MA.
Acoustical-Physical Interactions
Papers in Refereed Journals
- Ali, W.H., and P.F.J. Lermusiaux, 2024b. Dynamically Orthogonal Narrow-Angle Parabolic Equations for Stochastic
Underwater Sound Propagation. Part II: Applications. Journal of the Acoustical Society of America 155(1), 656-672. doi:10.1121/10.0024474
- Ali, W.H., and P.F.J. Lermusiaux, 2024a. Dynamically Orthogonal Narrow-Angle Parabolic Equations for Stochastic Underwater Sound Propagation. Part I: Theory and Schemes. Journal of the Acoustical Society of America 155(1), 640-655. doi:10.1121/10.0024466
- Ryu, P., D. Brown, K. Arsenault, B. Cho, A. March, W.H. Ali, A. Charous, and P.F.J. Lermusiaux, 2023. A Wide-Area Deep Ocean Floor Mapping System: Design and Sea Tests. Geomatics 3(1), 290–311. doi:10.3390/geomatics3010016. Special issue "Advances in Ocean Mapping and Nautical Cartography."
- Duda, T.F., Y.-T. Lin, A.E. Newhall, K.R. Helfrich, J.F. Lynch, W.G. Zhang, P.F.J. Lermusiaux, and J. Wilkin, 2019. Multiscale Multiphysics Data-Informed Modeling for Three-Dimensional Ocean Acoustic Simulation and Prediction. Journal of the Acoustical Society of America, 146(3), 1996–2015. doi:10.1121/1.5126012
- Evangelinos, C., P.F.J. Lermusiaux, J. Xu, P.J. Haley, and C.N. Hill, 2011. Many Task Computing for Real-Time Uncertainty Prediction and Data Assimilation in the Ocean. IEEE Transactions on Parallel and Distributed Systems, Special Issue on Many-Task Computing, I. Foster, I. Raicu and Y. Zhao (Guest Eds.), 22, doi: 10.1109/TPDS.2011.64.
- Lermusiaux, P.F.J., J. Xu, C.F. Chen, S. Jan, L.Y. Chiu and Y.-J. Yang, 2010. Coupled Ocean-Acoustic prediction of transmission loss in a continental shelfbreak region: predictive skill, uncertainty quantification and dynamical sensitivities. IEEE Transactions, Journal of Oceanic Engineering, 35(4) 895-916. doi:10.1109/JOE.2010.2068611.
- Lin, Y.-T., A.E. Newhall, T.F. Duda, P.F. J. Lermusiaux and P.J. Haley, Jr., 2010. Merging Multiple Partial-Depth Data Time Series Using Objective Empirical Orthogonal Function Fitting. IEEE Transactions, Journal of Oceanic Engineering. 35(4) 710-721. doi:10.1109/JOE.2010.2052875.
- Schofield, O., S. Glenn, J. Orcutt, M. Arrott, M. Meisinger, A. Gangopadhyay, W. Brown, R. Signell, M. Moline, Y. Chao, S. Chien, D. Thompson, A. Balasuriya, P.F.J. Lermusiaux and M. Oliver, 2010. Automated Sensor Networks to Advance Ocean Science. EOS, Vol. 91, No. 39, 28 September 2010.
- Lam, F.P, P.J. Haley, Jr., J. Janmaat, P.F.J. Lermusiaux, W.G. Leslie, and M.W. Schouten, 2009. At-sea Real-time Coupled Four-dimensional Oceanographic and Acoustic Forecasts during Battlespace Preparation 2007. Special issue of the Journal of Marine Systems on "Coastal processes: challenges for monitoring and prediction", Drs. J.W. Book, Prof. M. Orlic and Michel Rixen (Guest Eds.), 78, S306-S320, doi: 10.1016/j.jmarsys.2009.01.029.
- Wang, D., P.F.J. Lermusiaux, P.J. Haley, D. Eickstedt, W.G. Leslie and H. Schmidt, 2009. Acoustically Focused Adaptive Sampling and On-board Routing for Marine Rapid Environmental Assessment. Special issue of Journal of Marine Systems on "Coastal processes: challenges for monitoring and prediction", Drs. J.W. Book, Prof. M. Orlic and Michel Rixen (Guest Eds), 78, S393-S407, doi: 10.1016/j.jmarsys.2009.01.037.
- Yilmaz, N.K., C. Evangelinos, N.M. Patrikalakis, P.F.J. Lermusiaux, P.J. Haley, W.G. Leslie, A.R. Robinson, D. Wang and H. Schmidt, 2006a. Path Planning Methods for Adaptive Sampling of Environmental and Acoustical Ocean Fields, Oceans 2006, 6pp, Boston, MA, 18-21 Sept. 2006, doi: 10.1109/OCEANS.2006.306841.
- Lermusiaux, P.F.J., 2006. Uncertainty Estimation and Prediction for Interdisciplinary Ocean Dynamics. Refereed manuscript, Special issue on "Uncertainty Quantification". J. Glimm and G. Karniadakis, Eds. Journal of Computational Physics, 217, 176-199. doi: 10.1016/j.jcp.2006.02.010.
Proceedings of Refereed Conferences
- Jana, S., A. Gangopadhyay, P.F.J. Lermusiaux, A. Chakraborty, and P.J. Haley, Jr., 2024. Impact of River Inputs on Sound Speed Structures in the Bay of Bengal. In: OCEANS '24 IEEE/MTS Singapore, 14–18 April 2024, pp. 1–6. doi:10.1109/OCEANS51537.2024.10682181
- Charous, A., W.H. Ali, P. Ryu, D. Brown, K. Arsenault, B. Cho, K. Rimpau, A. March, and P.F.J. Lermusiaux, 2023. Gaussian Beam Migration for Wide-Area Deep Ocean Floor Mapping. In: OCEANS '23 IEEE/MTS Gulf Coast, 25–28 September 2023. doi:10.23919/OCEANS52994.2023.10337362
- Ali, W.H., A. Charous, C. Mirabito, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2023. MSEAS-ParEq for Ocean-Acoustic Modeling around the Globe. In: OCEANS '23 IEEE/MTS Gulf Coast, 25–28 September 2023. doi:10.23919/OCEANS52994.2023.10337377
- Humara, M.J., W.H. Ali, A. Charous, M. Bhabra, and P.F.J. Lermusiaux, 2022. Stochastic Acoustic Ray Tracing with Dynamically Orthogonal Differential Equations. In: OCEANS '22 IEEE/MTS Hampton Roads, 17–20 October 2022, pp. 1–10. doi:10.1109/OCEANS47191.2022.9977252
- Lermusiaux, P.F.J., C. Mirabito, P.J. Haley, Jr., W.H. Ali, A. Gupta, S. Jana, E. Dorfman, A. Laferriere, A. Kofford, G. Shepard, M. Goldsmith, K. Heaney, E. Coelho, J. Boyle, J. Murray, L. Freitag, and A. Morozov, 2020. Real-time Probabilistic Coupled Ocean Physics-Acoustics Forecasting and Data Assimilation for Underwater GPS. In: OCEANS '20 IEEE/MTS, 5-30 October 2020, pp. 1-9. doi:10.1109/IEEECONF38699.2020.9389003
- Lermusiaux, P.F.J., P.J. Haley, Jr., C. Mirabito, W.H. Ali, M. Bhabra, P. Abbot, C.-S. Chiu, and C. Emerson, 2020. Multi-resolution Probabilistic Ocean Physics-Acoustic Modeling: Validation in the New Jersey Continental Shelf. In: OCEANS '20 IEEE/MTS, 5-30 October 2020, pp. 1-9. doi:10.1109/IEEECONF38699.2020.9389193
- Duda, T.F., Y.-T. Lin, A.E. Newhall, K.R. Helfrich,
W.G. Zhang, M. Badiey, P.F.J. Lermusiaux,
J.A. Colosi, and J.F. Lynch, 2014. The “Integrated Ocean Dynamics and Acoustics” (IODA) Hybrid Modeling Effort, Proceedings of the international conference on Underwater Acoustics - 2014 (UA2014), 621-628.
- Puryear, A., L.J. Burton, P.F.J. Lermusiaux, and V.W.S. Chan, 2009. Underwater acoustic sparse aperture system performance: Using transmitter channel state information for multipath & interference rejection. OCEANS 2009-EUROPE, pp. 1-9, 11-14 May 2009, doi:10.1109/OCEANSE.2009.5278156.
- Xu, J., P.F.J. Lermusiaux, P.J. Haley Jr., W.G. Leslie and O.G. Logutov, 2008. Spatial and Temporal Variations in Acoustic propagation during the PLUSNet-07 Exercise in Dabob Bay. Acoustical Society of America, Proceedings of Meetings on Acoustics (POMA). 155th Meeting, Vol. 4. 11pp. doi: 10.1121/1.2988093.
- Wang, D., P.F.J. Lermusiaux, P.J. Haley, W.G. Leslie and H. Schmidt, 2006. Adaptive Acoustical-Environmental Assessment for the Focused Acoustic Field-05 At-sea Exercise, Oceans 2006, 6pp, Boston, MA, 18-21 Sept. 2006, doi: 10.1109/OCEANS.2006.306904.
- Robinson, A.R. and P.F.J. Lermusiaux, 2004. Prediction Systems with Data Assimilation for Coupled Ocean Science and Ocean Acoustics, Proceedings of the Sixth International Conference on Theoretical and Computational Acoustics (A. Tolstoy, et al., editors), World Scientific Publishing, 325-342. Refereed invited Keynote Manuscript.
- Lermusiaux, P.F.J., C.-S. Chiu and A.R. Robinson, 2002. Modeling Uncertainties in the Prediction of the Acoustic Wavefield in a Shelfbreak Environment. Refereed invited Manuscript, Proceedings of the 5th International conference on theoretical and computational acoustics, May 21-25, 2001. (Eds: E.-C. Shang, Q. Li and T.F. Gao), World Scientific Publishing Co., 191-200.
- Robinson, A.R., P. Abbot, P.F.J. Lermusiaux and L. Dillman, 2002. Transfer of uncertainties through physical-acoustical-sonar end-to-end systems: A conceptual basis. In "Acoustic Variability, 2002:. N.G. Pace and F.B. Jensen (Eds.), SACLANTCEN. Kluwer Academic Press, 603-610.
MSEAS Reports
- Ueckermann, Mattheus P. and Pierre F.J. Lermusiaux, 2012. 2.29 Finite Volume MATLAB Framework Documentation. MSEAS Report-14, August 2012.
- Mirabito, C., P.J. Haley, Jr., P.F.J. Lermusiaux and W.G. Leslie, 2012. A River Discharge Model for Coastal Taiwan during Typhoon Morakot. MSEAS Report-13, August 2012.
- Wamala, J., 2012. Stochastic Modeling of Flows behind a Square Cylinder with uncertain Reynolds numbers. MSEAS Report-12, May 2012.
- Ueckermann, M.P., P.F.J. Lermusiaux and T.P. Sapsis, 2011. Numerical Schemes and Studies for Dynamically Orthogonal Equations of Stochastic Fluid and Ocean Flows. MSEAS Report-11, August 2011.
- Sondergaard, T., 2011. Data Assimilation with Gaussian Mixture Models using the Dynamically Orthogonal Field Equations. MSEAS Report-10, September 2011.
- Yigit, Konuralp, 2011. Path Planning Methods for Autonomous Underwater Vehicles. MSEAS Report-09, June 2011.
- Sapsis, Themis, 2010. Dynamically Orthogonal Field Equations for Stochastic Fluid Flows and Particle Dynamics. MSEAS Report-08, October 2010.
- Agarwal, A. and P.F.J. Lermusiaux, 2010. Statistical field estimation for complex coastal regions and archipelagos. MSEAS Report-07. September 2010.
- Leslie, W.G. (editor), Patrick J. Haley, Jr., Pierre F.J. Lermusiaux, Mattheus P. Ueckermann, Oleg Logutov and Jinshan Xu, 2010. MSEAS Manual. MSEAS Report-06, July 2010.
- Kaufman, M.R.S., 2010. Upwelling Dynamics off Monterey Bay: Heat Flux and Temperature Variability, and their Sensitivities. MSEAS Report-05, May 2010.
- Ueckermann, M.P., 2009. Towards Next Generation Ocean Models: Novel Discontinuous Galerkin Schemes for 2D unsteady biogeochemical models. MSEAS Report-04, September 2009.
- Agarwal, A., 2009. Statistical Field Estimation and Scale Estimation for Complex Coastal Regions and Archipelagos. MSEAS Report-03, May 2009.
- Burton, L.J., 2009. Modeling Coupled Physics and Biology in Ocean Straits with Application to the San Bernardino Strait in the Philippine Archipelago. MSEAS Report-02, May 2009.
- Heubel, E., 2008. Parameter Estimation and Adaptive Modeling Studies in Ocean Mixing. MSEAS Report-01, September 2008.
MechE Theses
Bachelor's Theses
- Wei, Q.J., 2015. Time-Optimal Path Planning in Uncertain Flow Fields Using Stochastic Dynamically Orthogonal Level Set Equations, B.S. Thesis, Massachusetts Institute of Technology, Dept. of Mechanical Engineering, June 2015.
- Hessels, B., 2014. Time-optimal Path Planning for Sea-surface Vehicles Under the Effects of Strong Currents and Winds.. BS Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, June 2014.
- Colmenero J., 2014. Generation of High Quality Meshes for Given Bathymetry. BS Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, June 2014.
- Young, G.C., 2014. Missiles & Misconceptions: Why We Know More About the Dark Side of the Moon than the Depths of the Ocean. BS Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, June 2014.
- Wamala, J., 2012. Stochastic Modeling of Flows behind a Square Cylinder with uncertain Reynolds numbers. BS Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, June 2012.
- Vaskov, A.K., 2012. Technological Review of Deep Ocean Manned Submersibles. BS Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, June 2012.
- Kaufman, M.R.S., 2010. Upwelling Dynamics off Monterey Bay: Heat Flux and Temperature Variability, and their Sensitivities. BS Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, May 2010.
Master's Theses
- Rajagopal, E., 2024. Neural Operator Models as Applied to Fluid Flow Systems and Real Ocean Dynamics. ME Thesis, Massachusetts Institute of Technology, Electrical Engineering and Computer Science, February 2024.
- Suresh Babu, A.N., 2023. Stochastic Sea Ice Modeling with the Dynamically Orthogonal Equations. SM Thesis, Massachusetts Institute of Technology, Mechanical Engineering, September 2023.
- Saravanakumar, A.K., 2023. Towards Coupled Nonhydrostatic-Hydrostatic Hybridizable Discontinuous Galerkin Method. SM Thesis, Massachusetts Institute of Technology, Center for Computational Science and Engineering, June 2023.
- Jalan, A., 2023. Neural Closure Models for Chaotic Dynamical Systems. SM Thesis, Massachusetts Institute of Technology, Mechanical Engineering, February 2023.
- Ryu, Y.H., 2022. Adaptive Stochastic Reduced-Order Modeling for Autonomous Ocean Platforms. SM Thesis, Massachusetts Institute of Technology, Computational Science and Engineering, September 2022.
- Dahill, C., 2022. Time-Optimal Path Planning in the Portugal-Azores-Madeira Ocean Region. SM Thesis, Massachusetts Institute of Technology, Mechanical Engineering, May 2022.
- Heuss, J.P., 2021. Reduced Order Modeling for Stochastic Prediction and Data Assimilation Onboard Autonomous Platforms At Sea. SM Thesis, Massachusetts Institute of Technology, Joint Program in Applied Ocean Science and Engineering, September 2021.
- Bhabra, M.S., 2021. Harvest-Time Optimal Path Planning in Dynamic Flows. SM Thesis, Massachusetts Institute of Technology, Mechanical Engineering and Computational Science & Engineering, September 2021.
- Gkirgkis, K.A., 2021. Stochastic Ocean Forecasting with the Dynamically Orthogonal Primitive Equations. SM Thesis, Massachusetts Institute of Technology, Mechanical Engineering, June 2021.
- Charous, A., 2021. High-Order Retractions for Reduced-Order Modeling and Uncertainty Quantification. SM Thesis, Massachusetts Institute of Technology, Computational Science and Engineering, February 2021.
- Doshi, M., 2021. Energy-Time Optimal Path Planning in Strong Dynamic Flows. SM Thesis, Massachusetts Institute of Technology, Center for Computational Science and Engineering, February 2021.
- Humara, M.J., 2020. Stochastic Acoustic Ray Tracing with Dynamically Orthogonal Equations. SM Thesis, Massachusetts Institute of Technology, Joint Program in Applied Ocean Science and Engineering, May 2020.
- Lin, J., 2020. Minimum-Correction Second-Moment Matching: Theory, Algorithms and Applications. SM Thesis, Massachusetts Institute of Technology, Mechanical Engineering, February 2020.
- Ali, W.H., 2019. Dynamically Orthogonal Equations for Stochastic Underwater Sound Propagation. SM Thesis, Massachusetts Institute of Technology, Mechanical Engineering, September 2019.
- Foucart, C., 2019. Efficient Matrix-Free Implementation and Automated Verification of Hybridizable Discontinuous Galerkin Finite Element Methods. SM Thesis, Massachusetts Institute of Technology, Mechanical Engineering, June 2019.
- Mirhi, M., 2019. Design of Interactive Maps for Ocean Dynamics Data. ME thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, February 2019.
- Ferris, D., 2018. Time-Optimal Multi-Waypoint Mission Planning in Dynamic Flow Fields. SM Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, May 2018.
- Dutt, A., 2018. High Order Stochastic Transport and Lagrangian Data Assimilation. SM Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, February 2018.
- Vo, J.H., 2017. Modeling Flow Encountering Abrupt Topography using Hybridizable Discontinuous Galerkin Projection Methods. SM Thesis, Massachusetts Institute of Technology, Center for Computational Engineering, September 2017.
- Kulkarni, C.S., 2017. Three-Dimensional Time-Optimal Path Planning in Dynamic and Realistic Environments. SM Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, June 2017.
- Feppon, F., 2017. Riemannian Geometry of Matrix Manifolds for Lagrangian Uncertainty Quantification of Stochastic Fluid Flows. SM Thesis, Massachusetts Institute of Technology, Center for Computational Engineering, February 2017.
- Sroka, S.G., 2016. Internal Tides Near Steep Topographies. SM Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, September 2016.
- Swezey, M., 2016. Ocean Acoustic Uncertainty for Submarine Applications. SM Thesis, Massachusetts Institute of Technology, MechE-USN Joint Program, June 2016.
- Aoussou, J.P., 2016. An Iterative Pressure-Correction Method for the Unsteady
Incompressible Navier-Stokes Equation. SM Thesis, Massachusetts Institute of Technology, Computation for Design and Optimization Graduate Program, June 2016.
- Subramani, D.N., 2014. Energy Optimal Path Planning Using Stochastic Dynamically Orthogonal Level Set Equations. SM Thesis, Massachusetts Institute of Technology, Computation for Design and Optimization Graduate Program, September 2014.
- Landry, J.J., 2014. Coastal Ocean Variability off the Coast of Taiwan in Response to Typhoon Morakot: River Forcing, Atmospheric Forcing and Cold Dome Dynamics. SM Thesis, MIT-WHOI Joint Program, September 2014.
- Phadnis, A., 2013. Uncertainty Quantification and Prediction for Non-autonomous Linear and Nonlinear Systems. SM Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, September 2013.
- Lu, P., 2013. Bayesian inference of stochastic dynamical models. SM Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, February 2013.
- Sondergaard, T., 2011. Data Assimilation with Gaussian Mixture Models using the Dynamically Orthogonal Field Equations. SM Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, September 2011.
- Ueckermann, M.P., 2009. Towards Next Generation Ocean Models: Novel Discontinuous Galerkin Schemes for 2D unsteady biogeochemical models. SM Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, September 2009.
- Agarwal, A., 2009. Statistical Field Estimation and Scale Estimation for Complex Coastal Regions and Archipelagos. SM Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, May 2009.
- Burton, L.J., 2009. Modeling Coupled Physics and Biology in Ocean Straits with Application to the San Bernardino Strait in the Philippine Archipelago. SM Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, May 2009.
- Heubel, E., 2008. Parameter Estimation and Adaptive Modeling Studies in Ocean Mixing. SM Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, September 2008.
Ph.D. Theses
- Schnitzler, B., 2024. Trajectory Optimization for Long-Range Light Vehicles in Unsteady Flow Fields with Obstacles, Diffuse Hazard and Uncertainty. Ph.D. Thesis, National School of Aeronautics and Space (ISAE) and University of Toulouse, December 2024.
- Doshi, M., 2024. High-Dimensional Optimal Path Planning and Multi-Timescale Lagrangian Data Assimilation in Stochastic Dynamical Ocean Environments. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, May 2024.
- Ali, W.H., 2023. Stochastic Dynamically Orthogonal Modeling and Bayesian Learning for Underwater Acoustic Propagation. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering and Center for Computational Science and Engineering, September 2023.
- Foucart, C., 2023. High-order Discontinuous Galerkin Methods and Deep Reinforcement Learning with Application to Multiscale Ocean Modeling. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering and Center for Computational Science and Engineering, September 2023.
- Charous, A., 2023. Dynamical Reduced-Order Models for High-Dimensional Systems. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering and Center for Computational Science and Engineering, June 2023.
- Gupta, A., 2022. Scientific Machine Learning for Dynamical Systems: Theory and Applications to Fluid Flow and Ocean Ecosystem Modeling. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, September 2022.
- Kulkarni, C.S., 2021. Prediction, Analysis, and Learning of Advective Transport in Dynamic Fluid Flows. PhD Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering and Center for Computational Science and Engineering, February 2021.
- Lin, J., 2020. Bayesian Learning for High-Dimensional Nonlinear Dynamical Systems: Methodologies, Numerics and Applications to Fluid Flows. PhD thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, September 2020.
- Subramani, D.N., 2018. Probabilistic Regional Ocean Predictions: Stochastic Fields and Optimal Planning. PhD Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, February 2018.
- Lolla, T., 2016. Path Planning and Adaptive Sampling in the Coastal Ocean. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, February 2016.
- Ueckermann, M.P., 2014. High Order Hybrid Discontinuous Galerkin Regional Ocean Modeling. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, February 2014.
- Sapsis, Themis, 2011. Dynamically Orthogonal Field Equations for Stochastic Fluid Flows and Particle Dynamics. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, February 2011.
- Ding Wang, 2007. Adaptive Rapid Environmental Assessment. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, September 2007 (Co-supervised with Prof. Henrik Schmidt).
External Technical Reports
- Middleton, L. et al., 2024. Observations from the CALYPSO 2022 Field Campaign: Data Report. Technical Report, Woods Hole Oceanographic Institute, September 20, 2024.
- Mahadevan, A. et al., 2024. Calypso 2022 Pourquoi Pas? Cruise Report. Technical Report, August 12, 2024.
- Mahadevan, A., E. D’Asaro, J. Allen, P. Almaraz García, E. Alou-Font, H. M. Aravind, P. Balaguer, I. Caballero, N. Calafat, A. Carbornero, B. Casas, C. Castilla, L. Centurioni, M. Conley, G. Cristofano, E. Cutolo, M. Dever, A. Enrique Navarro, F. Falcieri, M. Freilich, E. Goodwin, R. Graham, C. Guigand, B. Hodges, H. Huntley, S. Johnston, M. Lankhorst, P. Lermusiaux, I. Lizaran, C. Mirabito, A. Miralles, B. Mourre, G. Navarro, M. Ohmart, S. Ouala, T. Ozgokmen, A. Pascual, J-M. H. Pou, P.M. Poulain, A. Ren, D. Rodriguez, Tarry, D. Rudnick, M. Rubio, S. Ruiz, I. Rypina, J. Tintore, U. Send, A. Shcherbina, M. Torner, G. S. Vieira, N. Wirth, and N. Zarokanellos, 2020. CALYPSO 2019 Cruise Report: Field Campaign in the Mediterranean. Technical Report WHOI-2020-02, Woods Hole Oceanographic Institute, January 2020.
