Monday,
April 3, 2006, 3:40 p.m. PSA 113
Dept Math & Stats
High Performance Computing of Environmental Flows:
Data Assimilation and Statistical Description of Large
Environmental Data Sets
Abstract
Reliable prediction of environmental geophysical
flows is an interdisciplinary challenge for engineers, applied
mathematicians and computer scientists. The coupling of
nonlinear mathematics, physics and chemistry on a wide spectrum
of time and space scales presents a challenge in terms of
practical resolution and effective simulation even for the
latest generation of massively parallel computers. The ASU
high performance computing project on multiscale environmental
atmospheric physics focuses on improving capabilities of nested
mesoscale (regional) and microscale atmospheric physics codes
on parallel architectures. Computational and visualization
tools developed under the umbrella of the National High
Performance Computing (HPC) Modernization Program impact on the
resolution of small scale phenomena with applications to
regional environmental transport problems. HPC Satellite
Cluster integrated in the Fulton School HPC Center is a
valuable resource to the ASU Environmental Physics Community,
linking local, regional and national efforts in environmental
forecasting.
Joint work with HJS Fernando, M. Moustaoui,
D. Stanzione, and S. Eikenberry.
For further information please contact:
Anne Gelb