“Exascale’s New Frontier,” a project from the Oak Ridge Leadership Computing Facility, explores the new applications and software technology for driving scientific discoveries in the exascale era. The Scientific Challenge Gauging the likely impact of a warming climate on global and regional water cycles poses one of the top challenges in climate change prediction. Scientists […]
Los Alamos, PNNL, Univ. of New Mexico Researchers to Lead $70M DOE HPC Climate Model Projects
August 30, 2022 by
The U.S. Department of Energy (DOE) today announced $70 million in funding for seven projects intended to improve climate prediction and aid in the fight against climate change. The research will be used to accelerate development of DOE’s Energy Exascale Earth System Model (E3SM), enabling scientific discovery through collaborations between climate scientists, computer scientists and […]
ORNL: Updated Exascale Earth Simulation Model Delivers 2X Speed
January 20, 2022 by
Oak Ridge National Laboratory announced today that a new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018. Earth system models have weather-scale resolution and use advanced computers to simulate aspects of earth’s variability and anticipate decadal changes that will critically impact the […]
Video: Exascale for Earth System Modeling of Storms, Droughts, Sea Level Rise
September 24, 2020 by
In this interview, award winning scientist Mark Taylor at Sandia National Laboratories’ Center for Computing Research talks about the use of exascale-class supercomputers – to be delivered to three U.S. Department of Energy national labs in 2021 – for large-scale weather and water resource forecasting. Taylor is chief computational scientist for the DOE’s Energy Exascale […]
Earth-modeling System steps up to Exascale
April 23, 2018 by
“Unveiled today by the DOE, E3SM is a state-of-the-science modeling project that uses the world’s fastest computers to more accurately understand how Earth’s climate work and can evolve into the future. The goal: to support DOE’s mission to plan for robust, efficient, and cost-effective energy infrastructures now, and into the distant future.”
