PDE Introduction and Program

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SIXTH WORKSHOP ON NUMERICAL SOLUTIONS OF

FLUID FLOW IN SPHERICAL GEOMETRY

(PDEs on the Sphere)

Park Vista

Gatlinburg, Tennessee

U.S.A.

April 29-May 1, 1998

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BACKGROUND

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**
As part of the DOE Climate Change Prediction Program (formerly CHAMMP)
a workshop on 'Numerical solutions
of fluid flow in spherical geometry' will be held April 29-May 1, 1998.
This is the sixth in the series of workshops which have been hosted on
a rotating basis by Argonne National Laboratory, the National Center
for Atmospheric Research, and Oak Ridge National Laboratory.**

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PROGRAM

The primary emphasis of the workshop is:

The development of new methods for and application of new and existing
methods for computing fluid flow in spherical geometry; in particular,
how new methods eliminate shortcomings of current methods and how
they address the problems unique to spherical geometry. Application
to the shallow water equations and to complete baroclinic models
are of interest as well as pure transport for chemistry models.

The workshop will also cover:

Topics of interest include monotone advection, geodesic grid systems,
TVD methods, flux correction methods, vector and scalar spectral methods,
spectral element methods,
alternative discretizations, and Eulerian and semi-Lagrangian methods.
These can be applied to three dimensional baroclinic equations, two
dimensional shallow water equations, or pure transport in spherical
geometry.

The presentation of results from current or new methods is encouraged.
The comparison of these methods is facilitated by application to
standard test sets.

Performance of current methods of choice and new methods on parallel
computers, including limitations associated with algorithm and computer
design are appropriate. Implementation details for new distributed
and shared memory architectures as well as discussion of attendant
difficulties are of interest. Characteristics of parallel computers that
may affect computational algorithms, in particular, future design
aspects could be considered as they might affect algorithm
implementation.

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ABSTRACTS

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