Scientists at PNNL are working to better prepare authorities, emergency responders, communities and the grid in the face of increasingly extreme hurricanes.
Scientists are pioneering approaches in the branch of artificial intelligence known as machine learning to design and train computer software programs that guide the development of new manufacturing processes.
Across the United States, water moving between the river and riverbed sediments does not overcome localized processes that govern organic matter chemistry.
Jiwen Fan honored for improving fundamental atmospheric science and modeling capabilities by being named a Fellow of the American Meteorological Society.
Anthropogenically forced evolution of the leading neutral mode explains historical trends in global surface temperature, lending confidence to regional projections related to modes.