Atmospheric rivers, filaments of intense moisture transport in the atmosphere, can now be automatically detected in satellite observations.

PNNL study explored multiple factors that could impact future snowpack—a critical source of water for communities, irrigation and energy generation.

At the GovAI Summit 2023, Ryan Eddy joined the Department of Homeland Security Science and Technology Directorate on a panel highlighting artificial intelligence impacts and opportunities in the field of emergency management.

Earth Scientist Laura Fierce mentors Department of Energy Science Graduate Student Research program awardees.

A team of researchers received an award for their contributions to improving the operational readiness and safety posture of the firefighter community by conducting a rigorous evaluation of commercially available equipment.

PNNL officials travel to Cyprus as subject matter experts and trainers for U.S. State Department Export Control and Border Security Program.

This study revealed that fresh organic vapors are soluble in particulate organics that are actively growing in size. However, if the particulate matter ages, fresh organic vapors can no longer mix with the organic matter.

Partitioning measured ice nucleating particle concentrations into individual particle types leads to a better understanding of the sources and model representations of these particles.

PNNL researchers helped design and conduct an international exercise hosted by the Ministry of Finance of Finland to help improve financial sector resilience.

Madalina Man, an international compliance analyst, recently lent her legal expertise to an International Atomic Energy Agency International Physical Protection Advisory Service Mission in Zambia.

Chanel Chauvet-Maldonado, nonproliferation policy and law analyst, completed the Organization for Economic Co-operation and Development Nuclear Energy Agency International School of Nuclear Law program.

PNNL’s software tool brings together artificial intelligence and satellite imagery to help responders assess damage and take action.

Jonathan Forman was nominated to serve on the delegation of the United States of America at the second meeting of the Working Group on Strengthening the Biological Weapons Convention.

A panel at the National Homeland Security Conference highlighted latest modeling and operational tools aiding response.

Researchers from Pacific Northwest National Laboratory created and embedded a physics-informed deep neural network that can learn as it processes data.

Different sources of low-level moisture perturbation can result in differences in the timing and location of a large, modeled storm.

Randomly constructed neural networks can learn how to represent light interacting with atmospheric aerosols accurately at a low computational cost and improve climate modeling capabilities.

PNNL welcomes six Department of Energy Office of Science Graduate Student Research awardees from across the nation.

The Forefront23 workshop convened researchers, scientists, and engineers who are just that: at the forefront of cybersecurity and nuclear nonproliferation.

The complex interactions between the land and atmosphere can affect cloud growth.