![Computational climate scientist Salil Mahajan simulates the complex and chaotic aspects of climate at Oak Ridge National Laboratory. Computational climate scientist Salil Mahajan simulates the complex and chaotic aspects of climate at Oak Ridge National Laboratory.](/sites/default/files/styles/list_page_thumbnail/public/news/images/Mahajan13-P00022.jpg?itok=1VYC2OZF)
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.
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.
ORNL researchers have been assisting St. Jude Children’s Research Hospital with imaging data analysis for the past eight years.