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Juan Antonio Saenz

Juan Saenz

Email
Phone (505) 665-2853

Capabilities

  • Computational Physics and Applied Mathematics
  • Numerical modeling
  • Computational fluid dynamics (CFD)
  • Direct numerical simulations of fluid turbulence
  • Applied Math
  • Direct Numerical Simulations (DNS)
  • Computer and Computational Sciences
  • High performance computing
  • Earth and Space Sciences
  • Hydrology
  • Climate modeling
  • Computer and Computational Sciences
  • High performance computing
  • Earth and Space Sciences
  • Oceanography
  • Climate, Ocean, and Sea Ice Modeling (COSIM) project
  • High Energy Density Plasmas and Fluids
  • Computational fluid dynamics (CFD)
  • Direct numerical simulations
  • Information Science and Technology
  • Machine Learning
  • Materials
  • Shock physics

Expertise

I investigate turbulence in complex, variable density flow systems. I use novel dynamical perspectives and diagnostics based on fundamental theory to understand fluid flow processes, turbulence and eddy-mean flow interactions, to inform, design, and develop physically-based models of these processes.

I have investigated complex, variable density turbulence, ocean meso-scale eddy turbulence, ocean circulation, shock dynamics.

Education

Ph.D. Theoretical and Applied Mechanics (Fluid Mechanics), University of Illinois and Urbana-Champaign.

M.Sc. Theoretical and Applied Mechanics (Fluid Mechanics), University of Illinois and Urbana-Champaign.

B.Sc. M.Sc. Civil Engineering, Universidad de los Andes, Bogota, Colombia.

 

Professional Societies

American Geophysical Union

American Physical Society  

 

Publications

Ringler, T., J.A. Saenz, P.J. Wolfram, and L. Van Roekel (2017), A Thickness-Weighted Average Perspective of Force Balance in an Idealized Circumpolar Current. J. Phys. Oceanogr., 47, 285-02, doi:10.1175/JPO-D-16-0096.1. doi:10.1175/JPO-D-16-0096.1

Saenz, J.A., N. Lubbers and N.M. Urban (2016), Dimensionality-Reduction of Climate Data Using Deep Autoencoders. In A. Banerjee, W. Ding, J. Dy, V. Lyubchich, A. Rhines (Eds.), I. Ebert-Uphoff, C. Monteleoni, D. Nychka (Series Eds.), Proceedings of the 6th International Workshop on Climate Informatics: CI 2016. NCAR Technical Note NCAR/TN-529+PROC, Sept 2016, 159 pp. doi:10.5065/D6K072N6

Saenz, J.A., Chen, Q. and Ringler, T. D. (2015), Prognostic residual-mean flow in an ocean general circulation model and its relation to prognostic Eulerian-mean flow. J. Phys. Oceanogr. doi:10.1175/JPO-D-15-0024.1

Saenz, J.A., Tailleux, R., Butler, E.D., Hughes, E.O. and Oliver, K. (2015), Estimating Lorenz's reference state in an ocean with a nonlinear equation of state for seawater. J. Phys. Oceanogr. 45, 1242–1257. doi:10.1175/JPO-D-14-0105.1

Dijkstra, H. A., Saenz, J. A. and Hogg, A. McC. (2014), Energetics of Multidecadal Atlantic Ocean Variability. J. of Climate 27, 7874–7889. doi:10.1175/JCLI-D-12-00801.1

Stewart, K., Saenz, J.A., Hogg, A.M., Hughes, G.O., Griffiths, R.A. (2014), Effect of Topographic Barriers on the Rates of Available Potential Energy Conversion of the Oceans. Ocean Modell. Volume 76, April 2014, Pages 31–42. doi:10.1016/j.ocemod.2014.02.001

Hogg, A. McC., Dijkstra, H. A. and Saenz, J. A. (2013), The Energetics of a Collapsing Meridional Overturning Circulation. J. Phys. Oceanogr. 43, 1512–1524. doi:10.1175/JPO-D-12-0212.1

Urakawa, L.S., Saenz, J.A., Hogg, A.M. (2013), Available potential energy gain from mixing due to the nonlinearity of the equation of state in a global ocean model. Geophys. Res. Lett., 40. doi:10.1002/grl.50508

Gayen, B., Griffiths, R.W., Hughes, G.O., and Saenz, J.A. (2013), Energetics of horizontal convection. J. Fluid Mech., 716, R10-1-716 R10-11. doi:10.1017/jfm.2012.592

Saenz, J.A., Hogg, A.M., Hughes, G.O., and Griffiths, R.W. (2012), Mechanical power input from buoyancy and wind to the circulation in an ocean model. Geophys. Res. Lett. 39, L13605. doi:10.1029/2012GL052035

Saenz, J.A. , Taylor, B.D. and Stewart, D.S. (2012), Asymptotic calculation of the dynamics of self-sustained detonations in condensed phase explosives, J. Fluid Mech., 716, 166-194. doi:10.1017/jfm.2012.358

Saenz, J.A. and Stewart, D.S. (2008), Modeling deflagration-to-detonation transition in granular explosive pentaerythritol tetranitrate. J. Appl. Phys., 104(4):043519. doi:10.1063/1.2970168

Jackson, P.R., Rehmann, C.R., Saenz, J.A., and Hanazaki, H. (2005), Rapid distortion theory for differential diffusion. Geophys. Res. Lett., 32(10):L10601. doi:10.1029/2005GL022443