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Oak Ridge Supercomputers Provide First Simulation of Abrupt Climate Change


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Researchers use "Phoenix" and "Jaguar" to study climate's past and future

OAK RIDGE, Tenn., July 16 -- At the Department of Energy's Oak Ridge National Laboratory (ORNL), the world's fastest supercomputer for unclassified research is simulating abrupt climate change and shedding light on an enigmatic period of natural global warming in Earth's relatively recent history. The work, led by scientists at the University of Wisconsin and the National Center for Atmospheric Research (NCAR), is featured in the July 17 issue of the journal Science and provides valuable new data about the causes and effects of global climate change.

This research is funded by the Office of Biological and Environmental Research within DOE's Office of Science and by the National Science Foundation through its paleoclimate program and support of NCAR.

In Earth's 4.5-billion-year history, its climate has oscillated between hot and cold. Today our world is relatively cool, resting between ice ages. Variations in planetary orbit, solar output, and volcanic eruptions all change Earth's temperature. Since the Industrial Revolution, however, humans have probably warmed the world faster than nature has. The greenhouse gases we generate by burning fossil fuels and forests will raise the average global temperature 2 to 12 degrees Fahrenheit (1 to 6 degrees Celsius) this century, the Intergovernmental Panel on Climate Change (IPCC) estimates.

Most natural climate change has taken place over thousands or even millions of years. But an episode of abrupt climate change occurred over centuries-possibly decades-during Earth's most recent period of natural global warming, called the Bolling-Allerod warming. Approximately 19,000 years ago, ice sheets started melting in North America and Eurasia. By 17,000 years ago, the melting glaciers had dumped so much freshwater into the North Atlantic that it stopped the overturning ocean circulation, which is driven by density gradients caused by influxes of freshwater and surface heat. This occurrence led to a cooling in Greenland called the Heinrich event 1. The freshwater flux continued on and off until about 14,500 years ago, when it virtually stopped. Greenland's temperature then rose by 27 degrees Fahrenheit (15 degrees Celsius) in several centuries, and the sea level rose about 16 feet (5 meters). The cause of this dramatic Bolling-Allerod warming has remained a mystery and source of intense debate.

"Now we are able to simulate these transient events for the first time," says Zhengyu Liu, a University of Wisconsin professor of atmospheric and oceanic sciences and environmental studies whose team simulated the abrupt climate changes using DOE supercomputers at ORNL. The Oak Ridge Leadership Computing Facility allocated supercomputing time through DOE's Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. "It represents so far the most serious validation test of our model capability for simulating large, abrupt climate changes, and this validation is critical for us to assess the model's projection of abrupt changes in the future," according to Liu.

The Oak Ridge Leadership Computing Facility is funded by the Office of Advanced Scientific Computing Research in DOE's Office of Science.

Liu, director of the University of Wisconsin's Center for Climatic Research, and his collaborator Bette Otto-Bliesner, an atmospheric scientist and climate modeler at NCAR, lead an interdisciplinary, multi-institution research group attempting the world's first continuous simulation of 21,000 years of Earth's climate history, from the last glacial maximum to the present, in a state-of-the-art climate model. The group will also extend the simulation 200 years into the future to forecast climate. The findings could provide great insight into the fate of ocean circulation in light of continued glacial melting in Greenland and Antarctica.

Three parts to abrupt change

Most climate simulations in comprehensive climate models so far are discontinuous, amounting to snapshots of century-sized time slices taken every 1,000 years or so. Such simulations are incapable of simulating abrupt transitions occurring on centennial or millennial timescales. Liu and Otto-Bliesner employ petascale supercomputers, capable of a quadrillion calculations each second, to stitch together a continuous stream of global climate snapshots and recover the virtual history of global climate in a motion picture. They use the Community Climate System Model (CCSM), a global climate model that includes coupled interactions between atmosphere, oceans, lands, and sea ice developed with primary funding from the National Science Foundation (NSF) and DOE.

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