Rica Mae Enriquez

01223 765997

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2013 - Present,  University of Cambridge, Newton International Postdoctoral Fellow

          Advisor: John R. Taylor

2013,  Stanford University, PhD in Environmental Fluid Mechanics and Hydrology

          Advisors: Robert L. Street and Francis L. Ludwig

2006, Stanford University, MS in Environmental Fluid Mechanics and Hydrology

2005, The Johns Hopkins University, BS with honors in Environmental Engineering

S I M U L A T I N G    T U R B U L E N C E

S E L E C T E D   P U B L I C A T I O N S

B I O G R A P H Y

RicaEnriquez2009
  • Enriquez RM and RL Street, 2014: Large-eddy simulation of the stable boundary layer: Revisiting GABLS with a linear algebraic subgrid-scale turbulence model. 21st Symposium on Boundary Layers and Turbulence, American Meteorological Society, Paper 14B.3. PDF.

  • Enriquez RM, 2013: Subgrid-scale turbulence modeling for improved large-eddy simulation of the atmospheric boundary layer. PhD dissertation, Stanford University. PDF.

  • Enriquez RM, RL Street, and FL Ludwig, 2012: Assessment of a coupled momentum and passive scalar flux subgrid-scale turbulence model for large-eddy simulation of flow in the planetary boundary layer. 20th Symposium on Boundary Layers and Turbulence, American Meteorological Society, Paper P1.45. Poster, and PDF.

  • Enriquez RM, FK Chow, RL Street, and FL Ludwig, 2010: Examination of the linear algebraic subgrid-scale stress [LASS] model, combined with reconstruction of the subfilter-scale stress, for large-eddy simulation of the neutral atmospheric boundary layer. 19th Symposium on Boundary Layers and Turbulence, American Meteorological Society, Paper 3A.3, 8 pp. PDF.

  • Enriquez RM, RL Street, and FL Ludwig, 2010: Algebraic subgrid-scale turbulence modeling in large-eddy simulation of the atmospheric boundary layer. 5th International Symposium on Computational Wind Engineering, International Association for Wind Engineering, Paper 154, 8 pp. Poster, and Corrected PDF.

Large-eddy simulation (LES) resolves the large eddies in the flow while modeling the effects of smaller motions (turbulence) on those larger eddies. Advances in describing turbulence can impact many disciplines, e.g., weather and climate prediction, wind energy production, ocean dynamics, and, indeed, even computational fluid dynamics itself.

 

Currently, I use LES to better understand how turbulent mixing in the upper ocean may affect phytoplankton blooms. For my dissertation, I developed a subgrid-scale turbulence model for LES of the atmospheric boundary layer.

L A T E S T   P R E S E N T A T I O N S