Examining flood occurrences associated with mesoscale convective systems and their characteristics allows researchers to explore climate-flood linkages.
The most polluted U.S. communities from five years ago are still the most polluted today, 50 years after passage of the Clean Air Act amendments of 1970.
A high-resolution dataset captures a more complete view of the global distribution and characteristics of strong storms called mesoscale convective systems.
PNNL combines AI and cloud computing with damage assessment tool to predict path of wildfires and quickly evaluate the impact of natural disasters, giving first responders an upper hand.
A research project that brings together mathematicians and atmospheric scientists has developed into a deep collaboration for improving atmospheric models.
Researchers found that warmer local sea surfaces increase the winter snowpack in the Sierra Nevada mountains, but reduce snowpack in the Cascade range.
Researchers developed a strategy for quantifying the numerical errors in global simulations of atmospheric clouds and attributing them to components in the computational model.