Articles tagged with: Climate
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.
Ernest Moniz, the newly confirmed secretary of energy, visited ORNL and the OLCF on June 3.
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.
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.
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.
ORNL’s James Hack was a member of a 15 person committee that recommended ways to advance climate modeling over the next two years.
HPCwire sat down with Galen Shipman to discuss strategies for coping with the “3 Vs”—variety, velocity, and volume—of the big data that climate science generates.
A multi-institutional team used a global dataset of paleoclimate records and the Jaguar supercomputer at ORNL to find the perform an unprecedented climate simulation. The results, published in the April 5 issue of Nature, analyze 15,000 years of climate history.
Researchers at ORNL are sharing computational resources and expertise to improve the detail and performance of a scientific application code that is the product of one of the world’s largest collaborations of climate researchers.
A research team led by Jon Reisner of Los Alamos National Laboratory is employing the Oak Ridge Leadership Computing Facility’s Jaguar supercomputer to use data from lightning detectors and even wind instruments mounted on planes flown into the eye of a hurricane to improve atmospheric models.