Examining flood occurrences associated with mesoscale convective systems and their characteristics allows researchers to explore climate-flood linkages.

Large ensemble simulations show that aerosols can significantly modify the predictability of hail and precipitation in hailstorms.

Materials scientist Olga Marina has been appointed an associate editor of the Journal of the Electrochemical Society.

PNNL researchers are forming a clearer picture of how plant matter is transformed in the microbial gardens created by leaf-cutter ants.

PNNL researcher Erol Cromwell uses neural networks to elucidate subsurface permeability.

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 new research partnership between PNNL and the University of Nevada, Reno aims to tackle critical challenges such as climate change, infrastructure resilience and cybersecurity.

PNNL computational scientist Diana Bacon’s role as carbon storage associate editor uses her expertise in subsurface modeling and quantitative risk assessment.

Soil texture and environmental history play a strong role in how different soils respond to moisture extremes like drought and flood.

Researchers used instruments in an airborne lab to characterize aerosol particles and their sources over the remote Eastern North Atlantic.

PNNL postdoctoral fellow Jon Sampedro appointed as an individual expert to a WHO technical advisory group on air pollution and health

Seeking a deeper understanding of when, where, and why large wildfires occur using explainable artificial intelligence.

PNNL’s new Hydrogen Energy Storage Evaluation Tool allows users to examine multiple energy delivery pathways and grid applications to maximize benefits.

Urban pollution greatly increases the number of particles over the Amazon, mainly through new particle formation controlled by biogenic gases.

Researchers have increased the lifetime of a promising electric vehicle battery to a record level.

A high-resolution dataset captures a more complete view of the global distribution and characteristics of strong storms called mesoscale convective systems.

Rising greenhouse gases and declining aerosols have triggered an approximate four-day delay in rainfall over tropical land and the Sahel.

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.

At PNNL, women in engineering tackle some of the world’s most complex problems in environmental science, sustainable energy, and national security.

PNNL provided ultra-low measurements of argon-39 to date groundwater as part of a collaborative study of the aquifer in California’s San Joaquin Valley. PNNL is one of only a few laboratories worldwide with this capability.