Beyond melting ice and higher temperatures: On Earth Day, scientists consider how climate change will affect national security.

PNNL researchers have used field campaign data to better understand clouds, aerosols, and the interactions between humans and the atmosphere.

More realistically representing crops and agricultural practices dramatically improves simulations of carbon and energy exchange.

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

An analysis of land use in watersheds that supply drinking water to over a hundred United States cities identified a wide range of exposure to potential contamination.

PNNL experts perform fundamental climate science work at multiple scales to understand impacts on energy, water, food, and infrastructure systems.

PNNL researchers have uncovered a plant-derived process that leads to the formation of aerosol particles over the Amazon rainforest and potentially other forested parts of the world. 

COVID-19 changed when and where we use electricity. Researchers showed that commonly available total demand data masked the actual changes.

To improve the study of human-Earth interactions, a 10-year vision report by the MultiSector Dynamics community of practice encourages the use of emerging human systems datasets, embedded intelligence in modeling, and workforce diversity.

PNNL teamed with academia and industry to develop a novel zero-emission methane pyrolysis process that produces both hydrogen and high-value carbon solids suitable for an array of manufacturing applications.

Like a toxic Trojan horse, microplastics can act as hot pockets of contaminant transport. But, can microplastics get into plant cells? Recent research shows that they can't.

In a new review, PNNL researchers outline how to convert stranded biomass to sustainable fuel using electrochemical reduction reactions in mini-refineries powered by renewable energy.

Plant scientists at Pacific Northwest National Laboratory have garnered the most comprehensive—and first ever—genetic level dataset of the rooting process in a flowering model grass.

Clarivate Analytics released its updated list of Highly Cited Researchers on November 18, 2019. 17 PNNL researchers made the list.

Linking microscale processes and macroscale fluxes using soil properties in a process-rich simulation.