Publications

2019

20. Haza A. C., N. Paldor, T. M. Özgökmen, M. Curcic, S. S. Chen, and G. Jacobs, 2019: Wind-based estimations of ocean surface currents from massive clusters of drifters in the Gulf of Mexico, J. Geophys. Res. Oceans, 124, doi:10.1029/2018JC014813. PDF.

19. Curcic M., 2019: A parallel Fortran framework for neural networks and deep learning, arXiv:1902.06714.

18. Li, G., M. Curcic, M. Iskandarani, S. S. Chen, and O. M. Knio, 2019: Uncertainty propagation in coupled atmosphere-wave-ocean system: A study of Hurricane Earl (2010), Mon. Wea. Rev., 147, 221-245, doi:10.1175/MWR-D-17-0371.1. PDF

2018

17. Carlson, D. F., T. M. Özgökmen, G. Novelli, C. Guigand, H. Chang, B. Fox-Kemper, J. Mensa, S. Mehta, E. Fredj, H. Huntley, A. D. Kirwan Jr, M. Berta, M. Rebozo, M. Curcic M, E. Ryan, B. Lund, B. Haus, J. Molemaker, C. Hunt, S. Chen, L. Bracken, and J. Horstmann, 2018: Surface ocean dispersion observations from the ship-tethered aerostat remote sensing system. Front. Mar. Sci., 5:479, doi: 10.3389/fmars.2018.00479. PDF

16. Haza, A., E. D’Asaro, H. Cheng, S. S. Chen, M. Curcic, C. Guigand, H. S. Huntley, G. Jacobs, G. Novelli, T. M. Özgökmen, A. C. Poje, E. Ryan, and A. Scherbina, 2018: Drogue-loss detection for surface drifters during the Lagrangian Submesoscale Experiment (LASER), J. Atmos. Oceanic Technol., 35(4), 705-725, doi:10.1175/JTECH-D-17-0143.1. PDF

15. Dietrich, J. C., A. Muhammad, M. Curcic, A. Fathi, C. N. Dawson, S. S. Chen, and R. A. Luettich Jr., 2018: Sensitivity of storm surge predictions to atmospheric forcing during Hurricane Isaac, J. Waterway, Port, Coastal, Ocean Eng., 144(1): 04017035. PDF

2017

14. Laxague, N. J. M., M. Curcic, J. V. Björkqvist, and B. K. Haus, 2017: Gravity-capillary wave spectral modulation by gravity waves, IEEE Trans. Geosci. Rem. Sens., 55(5), 2477-2485, doi:10.1109/TGRS.2016.2645539. PDF

2016

13. Lindo-Atichati, D., M. Curcic, C. B. Paris, and P. M. Buston, 2016: Description of surface transport in the region of the Belizean Barrier Reef based on observations and alternative high-resolution models, Oce. Mod., 106, 74-89, doi:10.1016/j.ocemod.2016.09.010. PDF

12. Mariano, A. J., E. H. Ryan, H. S. Huntley, L.C. Laurindo, E. Coelho, A. Griffa, T. M. Özgökmen, M. Berta, D. Bogucki, S. S. Chen, M. Curcic, K. L. Drouin, M. Gough, B. K. Haus, A. C. Haza, P. Hogan, M. Iskandarani, G. Jacobs, A. D. Kirwan Jr., N. Laxague, B. Lipphardt Jr., M. G. Magaldi, G. Novelli, A. Reniers, J. M. Restrepo, C. Smith, A. Valle-Levinson, and M. Wei, 2016: Statistical properties of the surface velocity field in the northern Gulf of Mexico sampled by GLAD drifters, J. Geophys. Res. Oceans, 121, 5193–5216, doi:10.1002/2015JC011569. PDF

11. Kim, E., M. Lance, M. Curcic, S. S. Chen, C. Phillips, and P. Veers, 2016: On the use of coupled wind, wave, and current fields in the simulation of loads on bottom-supported offshore wind turbines during hurricanes, Technical Report NREL/TP–5000-65283, National Renewable Energy Lab. (NREL), Golden, CO, United States, doi:10.2172/1266702. Link

10. Judt, F., S. S. Chen, and M. Curcic, 2016: Atmospheric forcing of the upper ocean transport in the Gulf of Mexico: From seasonal to diurnal scales, J. Geophys. Res. Oceans, 121, 4416–4433, doi:10.1002/2015JC011555. PDF

9. Curcic, M., S. S. Chen, and T. M. Özgökmen, 2016: Hurricane-induced ocean waves and Stokes drift and their impacts on surface transport and dispersion in the Gulf of Mexico, Geophys. Res. Lett., 43, 2773–2781, doi:10.1002/2015GL067619. PDF

8. Zhu, P., Y. Wang, S. S. Chen, M. Curcic, and C. Gao, 2016: Impact of storm-induced cooling of sea surface temperature on large turbulent eddies and vertical turbulent transport in the atmospheric boundary layer of Hurricane Isaac, J. Geophys. Res. Oceans, 121, 861–876, doi:10.1002/2015JC011320. PDF

7. Chen, S. S. and M. Curcic, 2016: Ocean surface waves in Hurricane Ike (2008) and Superstorm Sandy (2012): Coupled modeling and observations, Oce. Mod., 103, 161-176. doi:10.1016/j.ocemod.2015.08.005. PDF

2015

6. Curcic, M., 2015: Explicit air-sea momentum exchange in coupled atmosphere-wave-ocean modeling of tropical cyclones, Ph.D. Thesis, University of Miami. Link

2014

5. Coelho, E. F., P. Hogan, G Jacobs, P Thoppil, H. S. Huntley, B. K. Haus, B. L. Lipphardt, A. D. Kirwan, E. H. Ryan, J. Olascoaga, F. Beron-Vera, A. C. Poje, A. Griffa, T. M. Özgökmen, A. J. Mariano, G. Novelli, A. C. Haza, D. Bogucki, S. S. Chen, M. Curcic, M. Iskandarani, F. Judt, N. Laxague, A. J. H. M. Reniers, A. Valle-Levinson, M. Wei, 2015: Ocean current estimation using a multi-model ensemble Kalman filter during the Grand Lagrangian Deployment experiment (GLAD), Oce. Mod., 87, 86-106, doi:10.1016/j.ocemod.2014.11.001. PDF

4. Jacobs, G. A., B. P. Bartels, D. J. Bogucki, F. J. Beron-Vera, S. S. Chen, E. F. Coelho, M. Curcic, A. Griffa, M. Gough, B. K. Haus, A. C. Haza, R. W. Helber, P. J. Hogan, H. S. Huntley, M. Iskandarani, F. Judt, A. D. Kirwan Jr., N. Laxague, A. Valle-Levinson, B. L. Lipphardt Jr., A. J. Mariano, H. E. Ngodock, G. Novelli, M. J. Olascoaga, T. M. Özgökmen, A. C. Poje, A. J. H. M. Reniers, C. D. Rowley, E. H. Ryan, S. R. Smith, P. L. Spence, P. G. Thoppil, M. Wei, 2014: Data assimilation considerations for improved ocean predictability during the Gulf of Mexico Grand Lagrangian Deployment (GLAD), Oce. Mod., 83, 98-117, doi:10.1016/j.ocemod.2014.09.003. PDF

2013

3. Curcic M., E. Kim, L. Manuel, S. S. Chen, M. A. Donelan, J. Michalakes, 2013: Coupled atmosphere-wave-ocean modeling to characterize hurricane load cases for offshore wind turbines, 51st AIAA Aerospace Sciences Meeting, January 2013, Grapevine TX, doi:10.2514/6.2013-198. PDF

2012

2. Donelan, M. A., M. Curcic, S. S. Chen, and A. K. Magnusson, 2012: Modeling waves and wind stress, J. Geophys. Res. Oceans, 117, C00J23, doi:10.1029/2011JC007787. PDF

2011

1. Nickovic S., V. Djurdjevic, M. Vujadinovic, Z. I. Janjic, M. Curcic, B. Rajkovic, 2011: Method for efficient prevention of gravity wave decoupling on rectangular semi-staggered grids, J. Comp. Phys., 230, 1865-1875. PDF

Citations

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License

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