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

Scientists have created a cybersecurity technology that stops hackers from doing damage by feeding them illusory tidbits of success.

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.

A webapp developed by PNNL in collaboration with the University of Washington to help drive efficiencies for urban delivery drivers is now in the prototype stage and ready for testing.

Adding an advanced atmospheric aerosol treatment to a climate model enables assessments of the radiative effects of nitrate aerosols.

A recently developed laboratory-based technique allows researchers to quantify aerosol absorption from field campaign samples.

Researchers developed a strategy for quantifying the numerical errors in global simulations of atmospheric clouds and attributing them to components in the computational model.

PNNL computer scientists joined international leaders in machine learning to present research to detect and address potential cybersecurity threats and devise epidemic interventions.

By improving the detail in representations of turbulence, researchers can more accurately simulate agricultural soil emissions in the atmosphere.

PNNL researchers are using explainable artificial intelligence to develop new ways to understand and interpret data for national security.

A new decomposition method allows scientists to unravel the atmosphere-ice-ocean interactions that drive Arctic sea ice changes under increasing carbon dioxide levels.

The persistent double-ITCZ bias in Earth system models influences projections of future precipitation in regions that are already under severe water stress.

Easy-to-use web-based version of the “hector” global climate model emulator now available for researchers and Earth science educators.

Scientists devised a new energetic framework that enables them to decipher the patterns of Asian summer rainfall.

A new high-spatiotemporal resolution dataset of convective systems allows researchers to better study warm season storms in the U.S.

Merging long-term records of aerosol loading to create a high-quality, useful dataset for a continental site.