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The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades.
Simulating the global climate in high resolution at multiple scales will help answer questions about future global and regional climates. However, as performance expectations increase for Earth system models, so do computing challenges.
For some researchers, cracking the big questions can be like mining for a lone diamond under tons of solid rock.
A team of researchers from Oak Ridge National Laboratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis.
New mapping methods developed by researchers at the Department of Energy’s Oak Ridge National Laboratory can help urban planners minimize the environmental impacts of cities’ water and energy demands on surrounding stream ecologies.