HOW AESOP GOT A SUNTAN A fractured fairy tale (with apologies to the producers of the Rocky and Bullwinkle show) The cast of this episode: Oliver Fringer.

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Presentation transcript:

HOW AESOP GOT A SUNTAN A fractured fairy tale (with apologies to the producers of the Rocky and Bullwinkle show) The cast of this episode: Oliver Fringer and Bob Street Environmental Fluid Mechanics Laboratory at Stanford University Synopsis: The context and collaborators The tools and some pretty pictures Some thoughts on our work plan 8 March 2005

Jim McWilliams, Sasha Shchepetkin, Yulia Kanarska, The context: we are participating in AESOP and in NLIWI. Our overall goals include collaboration with UCLA to support the continuing development of our models, SUNTANS and ROMS; their coupling; and the scientific issues to be set forth by the ONR NLIWI and AESOP DRI experiments. Our collaborators: Jim McWilliams, Sasha Shchepetkin, Yulia Kanarska, UCLA

Our Tools SUNTANS - a free-surface NS simulation code for the coastal ocean. Currently implemented for Monterey Bay applications. LES - tools for the large-eddy simulation of the flows, including subfilter models that parameterize the unresolved motions.

SUNTANS Overview SUNTANS: Stanford Unstructured Nonhydrostatic Terrain-following Adaptive (not yet) Navier-Stokes Simulator Parallel computing Large-eddy simulation

High-resolution simulations must be nonhydrostatic Doman size: 0.8 m by 0.1 m (grid: 400 by 100)

Simulation results using 500 m grid + MY2.5 north-south velocity contours. Max velocity = 5 cm/s

Along-canyon generation sites Comparison of results to measurements Of Petruncio, et al. (1998,2002)

Cross-canyon generation sites Comparison of results to measurements Of Lien and Gregg (2001)

LES Overview Work based on decomposition of flow into resolved and subfilter motions by spatial filtering. Subfilter scales are further separated into resolved subfilter scales [computational grid size is at least a factor of 2 smaller than spatial filter size]. Highly accurate representation possible; facilitates energy transfer to and from large scales. subgrid scales. These must be modeled. These ideas have been proven and are being introduced in to SUNTANS. SUNTANS currently employs a RANS approach with, e.g., Mellor-Yamada 2.5 closure.

RSFS and SGS scale partitioning Resolved scales Well-resolved Resolved subfilter scales (RSFS) Can be reconstructed Subgrid scales (SGS) Must be modeled Numerical Errors (NE) Limit reconstruction

Improvements near the wall as applied to a neutral boundary layer in the atmosphere. Smagorinsky Dynamic eddy viscosity + Near-wall model Dynamic reconstruction + Near-wall model Log law

Thoughts on contributions to DRI High-resolution nonhydrostatic modeling of Monterey Bay (up to 10 m resolution) can be made available, i.e., simulation of scales from regional to those at which mixing takes place. Simulated cruise tracks Prediction and refinement via direct comparison to actual cruise tracks Basis for evaluation of coarser resolution simulations and their parameterizations. Boundary forcing for domains of simulators working on small scales. Evaluation of RANS and LES turbulence models [ours and those of others] at submesoscale [100 m and up resolutions]. Nesting of SUNTANS into ROMS and follow-up simulations to assess value of high resolution in specific areas and how that impacts submesoscale parameterizations.