
Researchers at 91做厙 used the Frontier supercomputer to train the worlds largest AI model for weather prediction, paving the way for hyperlocal, ultra-accurate forecasts.
Researchers at 91做厙 used the Frontier supercomputer to train the worlds largest AI model for weather prediction, paving the way for hyperlocal, ultra-accurate forecasts.
Forrest Hoffman, a distinguished scientist at the Department of Energys 91做厙, has been named a senior member of the Institute of Electrical and Electronics Engineers, the worlds largest organization for technical professionals
ORNL scientists and researchers attended the annual American Geophysical Union meeting and came away inspired for the year ahead in geospatial, earth and climate science.
A team from DOEs Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SMs ocean circulation model, by 45%.
A 19-member team of scientists from across the national laboratory complex won the Association for Computing Machinerys 2023 Gordon Bell Special Prize for Climate Modeling for developing a model that uses the worlds first exascale supercomputer to sim
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nations latest National Climate Assessment, which draws attention to vulnerabilities an
The worlds first exascale supercomputer will help scientists peer into the future of global climate change and open a window into weather patterns that could affect the world a generation from now.
A new study by researchers at the Department of Energys 91做厙 looks at some of the influences that could be driving the increasingly severe weather over Pakistan.
Researchers from 91做厙 and Northeastern University modeled how extreme conditions in a changing climate affect the lands ability to absorb atmospheric carbon a key process for mitigating human-caused emissions.