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Media Contact: Jon Bashor, 510-486-5849, JBashor@lbl.gov
September 4, 2002
BERKELEY, Calif. Scientists from the National Center for
Atmospheric Research (NCAR) have just completed a 1,000-year run
of a powerful new climate system model on a supercomputer at the
U.S. Department of Energy's National Energy Research Scientific
Computing Center (NERSC) at Lawrence Berkeley National Laboratory.
Accurately predicting global climate change demands complex and
comprehensive computer simulation codes, the fastest supercomputers
available and the ability to run those simulations long enough to
model century after century of the global climate.
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| Two hundred years of modeling El Niño
events and surface temperatures on the Community Climate System
Model (CCSM2) closely correlate with 50 years of actual climate
data. |
Scientists at NCAR in Boulder, Colorado, ran the millennium-long
simulation of their new Community Climate System Model (CCSM2) for
more than 200 uninterrupted days on the IBM SP supercomputer at
NERSC.
According to Warren Washington, a senior scientist at NCAR and
recently elected chair of the National Science Board, being able
to more accurately model climate change over a very long time scale
is of great societal importance. The scientific problem of climate
prediction continues to require complex interactions between atmosphere,
ocean, land/vegetation and the cryosphere. State-of-the-art climate
models such as the CCSM are making the interactions over daily to
century time scales much more accurate, though a number of uncertain
aspects can still be improved.
"One reason we need a long control simulation is that it gives
the climate modeling community a very good idea of the 'natural'
model variability on annual, decadal, and century time scales, so
that as we perform climate change simulations, we can separate the
natural forcing from the anthropogenic changes caused by increasing
greenhouse gases, aerosols and land surface changes," said
Washington, an internationally recognized expert in computer modeling
of the Earth's climate.
The CCSM2 effort is headed by Jeff Kiehl at NCAR. CCSM2 tightly
couples four complex models, including atmosphere and land modeling
codes developed at NCAR and ocean and sea ice models developed at
Los Alamos National Laboratory. Because of its comprehensive integration
of four complex component models, CCSM2 has emerged as one of the
United States' flagship computer codes for studying climate change.
The CCSM2 simulations being run at NERSC are part of the Climate
Change Prediction Program in the Office of Science of the Department
of Energy. Data from CCSM2 simulations run at NERSC and NCAR will
be made freely available to the nation's climate research community.
"As the Department of Energy's flagship facility for unclassified
supercomputing, NERSC is able to provide both the uninterrupted
computing resources and the staff expertise to enable this important
simulation to run, as well as the data storage facility and network
connectivity necessary to ensure that the resulting data can be
easily accessed and analyzed," said Horst Simon, director of
the NERSC Center.
NCAR scientist Tony Craig began the CCSM2 millennium-long run
at NERSC last January. The lengthy run served as a kind of "shakedown
cruise" for the new version of the climate model and demonstrated
that its variability is stable, even when run for century-after-century
simulations.
"This simulation will enable climate scientists to study
the variability of the climate system on decade to century time
scales, which is an important aspect of climate change detection
and attribution studies," said Jeff Kiehl, a climate scientist
at NCAR and chair of the scientific steering committee for CCSM2.
"The computational resource provided by NERSC was essential
for accomplishing this important simulation."
Previous climate models have suffered in accuracy by allowing
too much "drift," which meant the resulting climate temperature
changes could have too much variation to be scientifically useful.
The 1,000-year CCSM run had a total drift of one-half of one degree
Celsius, compared to older versions with two to three times as much
variance.
"The 1,000-year simulation is the first ever fully coupled
climate simulation with this high of spatial resolution," Kiehl
said.
The CCSM model was developed by a community of climate researchers
that includes scientists and software engineers at the National
Center for Atmospheric Research, many universities and DOE laboratories.
The CCSM simulates a number of natural variability signals such
as El Niño, the Pacific Decadal Oscillation and the North
Atlantic Oscillation.
"This is a significant accomplishment, and results from the
improved representation of physics of the atmosphere, land, ocean
and ice," said Inez Fung, director of the Berkeley Atmospheric
Sciences Center at UC Berkeley. "Climate variability on interannual
and interdecadal time scales reveals the dynamic non-linear internal
interactions within the climate system. For example, there are 'active'
periods when El Niños are strong and frequent, as well as
'quiescent' periods for the El-Niño/Southern Oscillations.
The results establish the 'naturally varying' baseline against which
externally forced climate change, such as from increasing CO2
in the atmosphere, can be compared."
In addition to Washington, Kiehl and Craig, other scientists contributing
to the successful 1,000-year run include Gerald Meehl, Jim Hack
and Peter Gent of NCAR, Burt Semtner of the Naval Postgraduate School
and John Weatherly of the U.S. Army Cold Regions Research and Engineering
Laboratory.
For information about NERSC, visit http://www.nersc.gov.
Berkeley Lab is a U.S. Department of Energy national laboratory
located in Berkeley, California. It conducts unclassified scientific
research and is managed by the University of California. Visit our
website at http://www.lbl.gov.
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