Dujuan Kang

Dujuan Kang

Assistant Research Professor

Department of Environmental Sciences

Rutgers University

Email: dujuan@marine.rutgers.edu

Education

 

2004 - 2010

Ph.D. & M.S. Environmental Fluid Mechanics, Stanford University

 

2000 - 2003

M.S. Atmospheric Sciences, Chinese Academy of Sciences, China

 

1996 - 2000

B.S. Atmospheric Sciences, Peking University, China

 

Research Interests

 

Physical Oceanography

Energetics analysis framework for multi-scale ocean dynamics and interactions

Internal wave dynamics and energetics

Eddy dynamics and spatio-temporal variability

Eddy-mean flow interactions

Eddy-internal wave interactions

Eddy-atmosphere interactions

 

 

Climate and Ecosystem

Regional climate variability and its connection to large scale circulation anomalies

Statistical multimode model for climate analysis

Marine ecosystem variability and its connection to multi-scale ocean dynamics

 

 

Numerical Modeling

Automatic eddy detection and tracking algorithm

Accurate and efficient computation of nonhydrostatic pressure in ocean models

Coupling of multi-scale and multi-physics ocean and climate models

High-performance simulations of ocean, climate and ecosystems

 

Refereed Publications

Zhang, S., E. N. Curchitser, D. Kang, C. A. Stock, and R. Dussin, 2018. Impacts of mesoscale eddies on the vertical Nitrate flux in the Gulf Stream region, J. Geophys. Res. Oceans., doi: 10.1002/2017JC 013402. [pdf]

 

 

Kang, D. and E. N. Curchitser, 2017. On the evaluation of seasonal variability of the ocean kinetic energy,  J. Phys. Oceanogr., 47(7): 1675-1683, doi: 10.1175/JPO-D-17-0063.1. [pdf]

 

Liu, L., D. Silver, K. Bemis, D. Kang, and E. N. Curchitser, 2017. Illustrative visualization of mesoscale ocean eddies, Computer Graphics Forum, 36: 447-458, doi: 10.1111/cgf.13201. [pdf]

 

Manderson, J. P., J. Kohut, D. Richardson, L. Palamara, A. Schmidt, T. Miller, H. Townsend, D. Kang, J. Hoey, C. Roebuck, J. Quinlan, J. A. Hare, O. Jensen, G. DiDomenico, E. Curchitser, R. Latour, and G. Monsen, 2017. Accounting for habitat dependent species distribution shifts in marine fish population assessments, Ecological Applications, in revision.

 

 

Kang, D., E. N. Curchitser, and A. Rosati, 2016. Seasonal variability of the Gulf Stream kinetic energy, J. Phys. Oceanogr., 46(4): 1189-1207, doi: 10.1175/JPO-D-15-0235.1. [pdf]

 

Kang, D. and E. N. Curchitser, 2015. Energetics of eddy-mean flow interactions in the Gulf Stream region, J. Phys. Oceanogr., 45(4): 1103-1120, doi: 10.1175/JPO-D-14-0200.1. [pdf]

 

Kang, D. and E. N. Curchitser, 2013. Gulf Stream eddy characteristics in a high-resolution ocean model, J. Geophys. Res. Oceans, 118: 4474-4487, doi: 10.1002/jgrc.20318. [pdf]

 

Kang, D. and O. B. Fringer, 2012. Energetics of barotropic and baroclinic tides in the Monterey Bay area, J. Phys. Oceanogr., 42(2): 272-290, doi: 10.1175/JPO-D-11-039.1. [pdf]

 

Kang, D., 2012. Barotropic and baroclinic tidal energy, in: Energy Conservation, edited by A. Z. Ahmed, pp. 57-72, InTech, doi: 10.5772/52293. [pdf]

 

Kang, D. and O. B. Fringer, 2010. On the calculation of available potential energy in internal wave fields, J. Phys. Oceanogr., 40(11): 2539-2545, doi: 10.1175/2010JPO4497.1. [pdf]

 

Kang, D. and O. B. Fringer, 2006, Efficient computation of the nonhydrostatic pressure, Proceedings of the 16th International Offshore and Polar Engineering Conference, 3: 414-419. [pdf]

 

Kang, D. and O. B. Fringer, 2006, Time accuracy of pressure methods for nonhydrostatic free-surface flows. Proceedings of the 9th International Conference on Estuarine and Coastal Modeling, 419-433. [pdf]

 

Kang, D. and H. J. Wang, 2005, Analysis on the decadal scale variation of the dust storm in North China. Science in China (D), 48(12): 2260-2266. [pdf]

 

Wang, H., X. Lang, G. Zhou, and D. Kang, 2003. A preliminary report of the model prediction on the forthcoming winter and spring dust climate over China. Chinese J. Atmos. Sci., 27(1): 136-140.

 

Wang, L., D. Kang, and X. Li, 2002. Multimode and its application in climate analysis. Acta Scientiarum Naturalium Universitatis Pekinensis, 38(1): 83-89.

 

 

Dissertation & Theses

Kang, D., 2011. Energetics and dynamics of internal tides in Monterey Bay using numerical simulations. Ph.D. Dissertation, pp. 170, Stanford University. Advisor: Dr. Oliver Fringer. [pdf]

 

Kang, D., 2003. Analysis on the decadal scale variation of the Dust Storm in North China and the accompanying atmospheric circulation anomalies. M.S. Thesis, pp. 53, Chinese Academy of Sciences. Advisor: Dr. Hui-Jun Wang.

 

Kang, D., 2000. Multimode and its application in climate analysis. B.S. Thesis, Peking University. Advisor: Dr. Xiaodong Li.

 

Conference Presentations & Abstracts

Kang, D., E. N. Curchitser, and A. Rosati, 2018. Temporal variability of the Gluf Stream eddies and its connection to the atmospheric forcing , Ocean Sci. Meet., Paper AI34A-1625.

 

Bemis,K., L. Liu, D. Silver, D. Kang, and E. Curchitser, 2017. Tools and Methods for visualization of mesoscale ocean eddies, AGU Fall Meet., Paper IN33A-0103.

 

Liu, L., D. Silver, K. Bemis, D. Kang, and E. Curchitser, 2017. Illustrative visualization of mesoscale ocean eddies, EuroVis 2017.

 

Bemis, K., L. Liu, D. Silver, D. Kang, and E. Curchitser, 2016. Case study on visualizing Gulf Stream eddies from ROMS, IEEE VIS 2016. (SciVis Best Poster Award)

 

Kang, D. and E. N. Curchitser, 2016. Energetics of eddy-mean flow interaction in the Gulf Stream region, Ocean Sci. Meet., Paper PO12D-06.

 

Kang, D. and E. N. Curchitser, 2014. Climate connection of the Gulf Stream eddy variability, Ocean Sci. Meet., Abstract 14340.

 

Buijsman, M. C., S. Legg, J. Klymak, and D. Kang, 2014. Nonlinear internal wave generation and dissipation at the double ridge in Luzon Strait, Ocean Sci. Meet., Abstract 15089.

 

Palamara, L., J. Manderson, J. Kohut, E. Curchitser, and D. Kang, 2014. Variability in thermal habitat dynamics for a pelagic forage fish estimated by coupling a thermal niche model to a hydrodynamic ocean model, Ocean Sci. Meet., Abstract 14895.

 

 

Palamara, L., J. Manderson, J. Kohut, E. Curchitser, D. Kang, and H. Townsend, 2014. Thermal habitat dynamics of a pelagic forage fish estimated by a thermal niche model coupled to a hydrodynamic ocean model, Mid-Atlantic Bight Physical Oceanography and Meteorology Conference.

 

 

Palamara, L., J. Manderson, J. Kohut, G. DiDomenico, E. Curchitser, D. Kang, M. J. Oliver, C. Dobson, and A. Snow, 2013. Putting the dynamics of the ocean into marine spatial planning: temporal variation in butterfish habitat, ASLO Aqua. Sci. Meet., Abstract 10576.

 

 

Kang, D. and E. N. Curchitser, 2012. Quantifying interannual mesoscale variability in the Gulf Stream, Ocean Sci. Meet., Abstract 12358.

 

Kang, D., 2011. Multi-scale and multi-physics ocean modeling, Pattullo Conference.

Kang, D. and O. B. Fringer, 2010, The energetics of barotropic and baroclinic tides in the Monterey Bay area, EOS Trans. AGU, 91(26), Ocean Sci. Meet. Suppl., Paper PO31C-03.

 

Kang, D. and O. B. Fringer, 2008, Simulation of the interaction of mesoscale currents and internal tides, Ocean Sci. Meet., Abstract 491.

 

Kang, D. and O. B. Fringer, 2006, Efficient computation of the nonhydrostatic pressure, 16th International Offshore & Polar Engineering Conference.

 

Kang, D., O. B. Fringer, M. Gerritsen, Y. Kanarska, J. C. McWilliams, A. Shchepetkin, and R. L. Street, 2006. High-resolution simulations of upwelling and internal waves in Monterey Bay using a coupled ROMS-SUNTANS multi-scale simulation tool, Eos Trans. AGU, 87(36), Ocean Sci. Meet. Suppl., Abstract OS36G-07.

 

 

Kang, D. and O. B. Fringer, 2005, Time accuracy of pressure methods for nonhydrostatic free-surface flows, 9th International Conference on Estuarine & Coastal Modeling.