Cynthia O'Carroll
Cynthia.M....@gsfc.nasa.gov April 20, 1998
Goddard Space Flight Center
Office of Public Affairs
(Phone: 301-286-6943)
RELEASE NO: 98-46
NASA TO SUPPORT EL NINO PREDICTION STUDIES WITH ONE OF WORLD'S MOST POWERFUL
SUPERCOMPUTERS
NASA's Seasonal to Interannual Prediction Project (NSIPP) will use an
upgraded CRAY T3E-600 supercomputer at Goddard Space Flight Center,
Greenbelt, Md., to support scientific and computational efforts to predict
seasonal to interannual climate variations. The augmented CRAY T3E will
enable NSIPP to run models capable of predicting phenomena such as El Nino
and its associated atmospheric effects felt in many regions around the
globe.
The NSIPP and a science team of investigators from universities and other
institutions will have access to 512 new processors in the upgraded CRAY
supercomputer at Goddard. The total system of 1,024 processors, 131 billion
bytes of memory and 1.2 trillion bytes of online disk space will perform
nearly 400 billion floating-point operations per second (400 gigaflops) on a
standard benchmark, ranking it among the world's five most powerful
supercomputers.
Goddard's CRAY T3E can do in one second what would take every person in the
United States using hand-held calculators over 40 years to perform.
"We plan to enhance these computational capabilities in support of our Earth
Science objectives and establish Goddard as the lead center for Earth
science supercomputing internationally," said Dr. Ghassem Asrar, NASA
Associate Administrator for Earth Science. "The challenge is to implement
large-scale Earth system models, run them in a timely fashion and then
transfer the technology to the operational agencies such as the National
Oceanic and Atmospheric Administration."
NSIPP scientists will combine comprehensive satellite observations with
global climate models. Since the ocean, with its large heat capacity,
contains the memory of short-term climate variability, the project will
build a new ocean data assimilation system to ingest the satellite data and
provide the initial conditions for predictive model runs. Experimental
predictions using past El Nino events for verification will assess the
ability to forecast future events.
"The new technology will enable us to develop the best system幼oupled
climate models and data assimilation system庸or taking full advantage of
NASA's satellite observations for this problem," said Dr. Michele Rienecker,
NSIPP's principal investigator. "We will be able to conduct ensembles of
runs to give a realistic statistical characterization of uncertainty in the
forecasts." NSIPP has developed a global general circulation model that
couples models of the oceans, atmosphere, land surface and sea ice. The
parallel model, capable of running on many computer processors, is a product
of research funded by the Earth and Space Sciences Project of NASA's High
Performance Computing and Communications Program.
"This system upgrade can be seen as an Agency commitment to scaleable
parallel computing for operational supercomputing," said Lee Holcomb, NASA
Chief Information Officer. "It culminates more than 20 years of NASA
investment in parallel computing technology development."
Climate models divide the globe into a grid of layered columns, solving the
relevant equations in each column layer and then assembling the full
results. With 512 processors, NSIPP will be able to use a finer grid
resolution than possible so far, with a column 1/2-degree wide (or 30 miles
over the continental United States) in the atmosphere model, for example.
"We know that model resolution impacts the ability to simulate the ocean as
well as the atmosphere and land surface in a realistic manner," Rienecker
said.
The CRAY T3E upgrade is occurring in two stages, with 384 processors
installed in March and 128 processors scheduled for availability in May. A
next-generation parallel supercomputer is planned for the year 2000.
Additional NSIPP information may be obtained on the World Wide Web at the
URL:
http://nsipp.gsfc.nasa.gov/
Earth and Space Sciences Project details are at the following URL:
http://esdcd.gsfc.nasa.gov/ESS/