how aesop got a suntan a fractured fairy tale (with apologies to the producers of the rocky and...
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HOW AESOP GOT A SUNTANA fractured fairy tale
(with apologies to the producers of the Rocky and Bullwinkle show)
The cast of this episode:
Oliver Fringer and Bob StreetEnvironmental 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
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)
Hydrostatic
Nonhydrostatic
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 measurementsOf Petruncio, et al. (1998,2002)
Cross-canyon generation sites
Comparison of results to measurementsOf 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.
Dynamic reconstruction + Near-wall model
Smagorinsky
Log law
Dynamic eddy viscosity+ Near-wall model
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.