Articles tagged with: Climate

[ Oct 18 2016 - 8:14 am ]

Valentine Anantharaj, computational scientist at the OLCF, contributed to the organization of the ISSAOS summer school by suggesting HPC topics, delivering lectures, and leading workshops.

[ May 21 2015 - 11:53 am ]

Researchers are working to integrate observation and modeling to create a better picture of Earth’s climate as a whole. One researcher committed to this goal is Dali Wang of DOE’s Oak Ridge National Laboratory

[ Feb 10 2015 - 9:19 am ]

Recently, internationally known atmospheric scientist Susan Solomon paid a visit to the Oak Ridge Leadership Computing Facility.

[ Jul 23 2014 - 8:18 am ]

A team of computational and climate scientists are scaling the CESM model to run on DOE petascale computers, including Titan, the 27-petaflop Cray XK7 system managed by the OLCF at Oak Ridge National Laboratory.

[ Sep 12 2013 - 8:10 pm ]

EVEREST has provided researchers with the Forest Service Eastern Forest Environmental Threat Assessment Center and their partners a unique view of maps used for detecting and tracking unexpected forest changes and disturbances.

[ Jun 19 2013 - 6:16 am ]

Ernest Moniz, the newly confirmed secretary of energy, visited ORNL and the OLCF on June 3.

[ Feb 8 2013 - 6:39 pm ]

A team of researchers ran transient, or continuous, simulations on an ORNL supercomputer over three years to create the first physics-based test of hemispheric deglaciation, work that was recently featured in Nature.

[ Jan 24 2013 - 7:50 pm ]

Researchers led by Gerald Meehl of the National Center for Atmospheric Research used ORNL’s Jaguar supercomputer to explore just how much sea level is likely to rise and under what circumstances.

[ Nov 16 2012 - 4:31 pm ]

An OLCF industrial partner was recently named a winner of International Data Corporation’s (IDC) HPC Innovation Excellence Award, announced in Salt Lake City, Utah at the annual supercomputing conference SC12.

[ Oct 18 2012 - 12:50 pm ]

ORNL’s James Hack was a member of a 15 person committee that recommended ways to advance climate modeling over the next two years.