Scientists at PNNL are working to better prepare authorities, emergency responders, communities and the grid in the face of increasingly extreme hurricanes.

A new study shows for the first time that wildfires burning in West Coast states can, despite great distance, strengthen storms in downwind states.

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.

Hydrologist Fernando Miralles-Wilhelm will lead the Joint Global Change Research Institute as its director, looking to the future of integrated assessments.

Climate change sets the stage for hurricanes to rapidly intensify faster, bringing wetter storms to the U.S. Atlantic Coast and other coastlines.

Secondary organic aerosol formation from monoterpenes is more strongly influenced by oxidant and monoterpene structure than by nitric oxides and hydroperoxy radical concentrations.

Across the United States, water moving between the river and riverbed sediments does not overcome localized processes that govern organic matter chemistry.

Two case studies of clouds evolving over the Arctic provide data that will help researchers evaluate cloud simulations.

Evaluating the accuracy of predicted plant aboveground biomass with different numerical solution options in a model of water transport in plants.

How hailstorms respond to human-created warming in the Great Plains depends on large-scale weather-producing systems.

The presence of mMarine microorganisms may enhance cloud droplet formation, leading to brighter clouds that reflect more sunlight.

In honor of National Intern Day, PNNL and intern Jonathan Mills were named among the Top 100 in the nation by early-career recruiting firm WayUp.

Better representing electric capacity markets, economic retirements, and power-plant age structure provides a more robust understanding of the future evolution of the electric sector.

Newly developed deep learning models can estimate 3-D permeability fields from time-lapse geophysical electrical imaging.

Repeated aircraft measurements over central Oklahoma allow researchers to better understand the spatial variability of aerosol properties that affect cloud evolution.

Observational evidence shows that clouds strongly influence the seasonal heat exchange between Southern Ocean air and sea.

Developing a new method to identify the fraction of green vegetation from satellite data at high spatial resolution.

Both the type and composition of landforms affect atmospheric properties and clouds in a state-of-the-art Earth system model.

Jiwen Fan honored for improving fundamental atmospheric science and modeling capabilities by being named a Fellow of the American Meteorological Society.

We are pleased to welcome 20 new joint appointees to PNNL.