Researchers quantified the contributions of four different types of convective storms to summer extreme precipitation in the Mid-Atlantic region.

Extreme sea levels will become 100 times more frequent by the end of the century around the world, according to a new study.

Atmospheric Scientist Beat Schmid helped develop a report assessing the scientific need for a new large aircraft at NASA.

PNNL computer scientist Ang Li serves as one of the principal investigators for a project selected to receive DOE funding.

Slaven Peles, PNNL computational scientist and leader of a national high-performance computing project for power grid analysis, spoke about the project with the host of the Let’s Talk Exascale podcast.

An analysis of Panamanian forests found two different sets of correlating hydraulics traits in tropical trees.

Hypergraphs can more faithfully identify important genes in complex immune responses.

PNNL’s Karol Kowalski leads one of the 29 projects selected to receive a total of $73 million in funding.

Laboratory fellow title given to those who have reached the top of their field and earned international recognition from peers.

Differences in background moisture transport explain how climate variability modes influence the frequency of landfalling atmospheric rivers and their corresponding precipitation.

Sherman Beus, software engineer, Katie Dorsey, communications team writer and editor, and Brian Ermold, data ingest manager, receive 2021 Atmospheric Radiation Measurement User Facility Service Awards.

A team of PNNL researchers are looking at how to evaluate robustness and accountability, fairness, and transparency of artificial intelligence models used to detect and quantify deceptive content online.

A Q&A with Lauren Charles, veterinarian and PNNL data scientist, on zoonotic diseases and the role biosurveillance plays in mitigating the growing threat to global health.

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.

More than 30 PNNL interns contributed to the Airport Risk Assessment Model, a web-based tool that helps airport security stakeholders prioritize resource allocations.

The web-based tool, called PLATIPUS, is publicly available and interacts with publications available in the CovidScholar database.

PNNL’s data-infused approach to electron microscopes’ use in scientific experimentation will help researchers and industry interpret large data streams and drive down costs.

The U.S. Department of Energy has selected the Scalable Predictive Methods for Excitations and Correlated Phenomena project to receive funding to develop software for chemical research.

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