Filter News
Area of Research
News Topics
- (-) Climate Change (2)
- Artificial Intelligence (5)
- Bioenergy (1)
- Biology (2)
- Biomedical (1)
- Biotechnology (1)
- Chemical Sciences (1)
- Computer Science (6)
- Coronavirus (1)
- Critical Materials (1)
- Energy Storage (1)
- Environment (1)
- Exascale Computing (3)
- Frontier (4)
- High-Performance Computing (7)
- Machine Learning (1)
- Materials (4)
- Microscopy (1)
- Nanotechnology (2)
- National Security (1)
- Neutron Science (1)
- Quantum Computing (3)
- Quantum Science (3)
- Security (1)
- Simulation (1)
- Sustainable Energy (1)
Media Contacts
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.