|
Published Articles >> Table of Contents >> Abstract
Second IEEE International Conference on e-Science and Grid Computing (e-Science'06)
p. 32
Automating Climate Science: Large Ensemble Simulations on the TeraGrid with the GriPhyN Virtual Data System
Veronika Nefedova, Argonne National Laboratory
Robert Jacob, Argonne National Laboratory
Ian Foster, Argonne National Laboratory; University of Chicago, USA
Zhengyu Liu, University of Wisconsin-Madison, USA
Yun Liu, University of Wisconsin-Madison, USA
Ewa Deelman, University of Southern California, USA
Gaurang Mehta, University of Southern California, USA
Mei-Hui Su, University of Southern California, USA
Karan Vahi, University of Southern California, USA
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/E-SCIENCE.2006.30
Send link to a friend
| Abstract |
|
Ensemble simulations are a promising technique
for identifying the signal of atmospheric response to
extra-tropical sea surface temperature variability with
high statistical significance. The basic idea is to
perform multiple simulations from slightly different
initial conditions and then to study the average signal
of the ensemble. A significant obstacle to performing
such ensemble simulations is the bookkeeping required
to prepare, execute, and track the progress of hundreds
of different computations. We describe an ensemble
simulation experiment in which the Fast Ocean
Atmosphere Model was run on the U.S. TeraGrid. In
this experiment, we used the GriPhyN Virtual Data
System to manage our ensemble simulations and their
execution on distributed resources, achieving dramatic
(order-of-magnitude) reductions in turnaround time
relative to previous manual experiments.
|
 Additional Information
|
Citation:
Veronika Nefedova, Robert Jacob, Ian Foster, Zhengyu Liu, Yun Liu, Ewa Deelman, Gaurang Mehta, Mei-Hui Su, Karan Vahi,
"Automating Climate Science: Large Ensemble Simulations on the TeraGrid with the GriPhyN Virtual Data System,"
e-science,
p. 32,
Second IEEE International Conference on e-Science and Grid Computing (e-Science'06),
2006
|
|
