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Computational Design and Performance of the Fast Ocean Atmosphere Model
Computational Design and Performance of the
Fast Ocean Atmosphere Model, Version One
Robert Jacob1, Chad Schafer2, Ian Foster1, Michael Tobis3, and
John Anderson3
1 Argonne National Laboratory, Mathematics and Computer Science Division
9700 S. Cass Ave., Argonne, IL 60439, USA,
jacob@mcs.anl.gov
2 University of California at Berkeley, Department of Statistics
367 Evans Hall, Berkeley, CA 94720, USA
3 University of Wisconsin–Madison, Space Science and Engineering Center
1225 W. Dayton St., Madison, WI 53706, USA
Abstract. The Fast Ocean Atmosphere Model (FOAM) is a climate
system model intended for application to climate science questions that
require long simulations. FOAM is a distributed-memory parallel climate
model consisting of parallel general circulation models of the atmosphere
and ocean with complete physics paramaterizations as well as sea-ice,
land surface, and river transport models. FOAM’s coupling strategy was
chosen for high throughput (simulated years per day). A new coupler was
written for FOAM and some modifications were required of the compo-
nent models. Performance data for FOAM on the IBM SP3 and SGI
Origin2000 demonstrates that it can simulate over thirty years per day
on modest numbers of processors.
1 Introduction
The Earth’s climate is the long-term average of the behavior of the ocean, land
surface, and sea ice. These components exchange heat, momentum, and fresh
water with each other through their common interfaces. The difference in heat
storage times, fluid dynamic scales, and transport/storage of water results in
complex interactions between the components.
To study the Earth’s climate, researchers have developed coupled models,
comprising an atmospheric general circulation model (GCM), a model of the
ocean general circulation, a model of the dynamic and thermodynamic prop-
erties of sea ice, and a model of the temperature and composition of the land
surface. Typically, each component model is a separately developed program with
its ow
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