Title :
FOAM: Expanding the Horizons of Climate Modeling
Author :
Tobis, Michael ; Schafer, Chad ; Foster, Ian ; Jacob, Robert ; Anderson, John
Author_Institution :
MCS/221 Argonne National Laboratory
Abstract :
We report here on a project that expands the applicability of dynamic climate modeling to very long time scales. The Fast Ocean Atmosphere Model (FOAM) is a coupled ocean- atmosphere model that incorporates physics of interest in understanding decade to century time scale variability. It addresses the high computational cost of this endeavor with a combination of improved ocean model formulation, low atmosphere resolution, and efficient coupling. It also uses message-passing parallel processing techniques, allowing for the use of cost-effective distributed memory platforms. The resulting model runs over 6000 times faster than real time with good fidelity and has yielded significant results.
Keywords :
Atmospheric modeling; Computational efficiency; Computer science; Concurrent computing; Distributed computing; Laboratories; Mathematical model; Mathematics; Oceans; Physics;
Conference_Titel :
Supercomputing, ACM/IEEE 1997 Conference
Print_ISBN :
0-89791-985-8
DOI :
10.1109/SC.1997.10024