Machine learning models help identify important environmental properties that influence how often extreme rain events occur with critical intensity and duration.
Hailong Wang is a non-federal co-lead for the Arctic Systems Interactions Collaboration Team that will explore the Arctic’s dynamic interconnected systems.
A scenario approach was used to explore the potential future role of hydropower around the globe considering the multisectoral dynamics of regional energy systems and basin-specific water resources.
Extreme winter storms are growing wetter and changing shape in the Western United States—such changes could compromise infrastructure designed to withstand only so much water.
The world's current climate pledges won't limit global warming to 1.5 °C. We will overshoot. A new study shows that more ambitious climate pledges could minimize the overshoot.
Scientists at PNNL are working to better prepare authorities, emergency responders, communities and the grid in the face of increasingly extreme hurricanes.