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Climate Simulation on TITAN Supercomputer
Description:
Simulations on supercomputers inform stakeholders about infrastructure investments needed to deal with the consequences of global climate change. Climate change in the Himalayas may lead to short-term flooding and long-term drought in a region that serves as a water tower for hundreds of millions of people who use the resource for agriculture, drinking, bathing, and hydroelectric energy production. The Community Atmosphere Model-Spectral Element simulates long-term global climate. Improved atmospheric modeling under Titan will help researchers better understand future air quality as well as the effect of particles suspended in the air. The new system will be able to simulate from one to five years per day of computing time, up from the three months or so that Jaguar was able to churn through in a day. "As scientists are asked to answer not only whether the climate is changing but where and how, the workload for global climate models must grow dramatically," noted CAM-SE team member Kate Evans of ORNL. "Titan will help us address the complexity that will be required in such models." Dated 2012.
Credit:
Oak Ridge National Laboratory/Science Source
Unique identifier:
SS2708558
Legacy Identifier:
JC5501
Type:
Image
Size:
4500px × 3000px (~38 MB)
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2010s
2013
21st century
atmospheric modeling
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climate change
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community atmosphere model-spectral element
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global climate change
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ornl
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titan supercomputer