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

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

When training for chemical and biological threats, in-person exercises and drills can be very limited due to the hazardous nature of the agent.

PNNL senior electrical engineer, Amy Qiao, tapped to serve IEEE Photonics Society Emerging Technologies Task Force.

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

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.

A series of internships and course work help prepare PNNL intern Eva Jacroux for prestigious scholarship.

Research shows that erosional nutrient fluxes linked to extreme rains may complicate efforts to reduce nutrient enrichment in the Gulf of Mexico.

A research project that brings together mathematicians and atmospheric scientists has developed into a deep collaboration for improving atmospheric models.

New research shows that a warmer ocean strengthens the North Pacific westerly jet stream, steering more storms toward California.

NNSA and PNNL celebrated 48 fellows whose year-long assignments spanned the nuclear security technology and policy mission.

Researchers found that using deep neural networks can significantly enhance the resolution of observations from weather radars.

National Nuclear Security Administration Graduate Fellow Marc Wonders has spent the past year working with researchers exploring artificial intelligence in the national security mission space.

Field campaign data shows that biologically-derived emissions largely control the formation of organic aerosol in the Southern Great Plains.

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 novel database of global mesoscale convective systems to reveal storm characteristics and rainfall contributions.