Results from the Global Change Analysis Model show the high sensitivity of global agroeconomic futures to global market integration.

PNNL’s Russ Haffner plays a key role in helping areas get back to normal after an emergency event such as Hurricane Ida.

Incorporating green infrastructure into flood protection plans alongside gray infrastructure can shield communities, reduce maintenance, and provide additional social and environmental benefits.

Soil moisture influences both the activity of soil DNA viruses, as well as the composition and abundance of RNA viruses.

Four factors, the El Niño-Southern Oscillation, North Atlantic subtropical high, low-level jet, and water vapor transport from Gulf of Mexico, primarily influence hail occurrence in the Northern Great Plains

A new microbial community model reveals previous exposure to hydrologic variation influences a species’ specialized biogeochemical functions.

Detailed characterization of molecules in, under, and along the Columbia River reveal potential mechanisms for biogeochemical cycling.

Leung was honored for pioneering approaches in climate modeling, discovering unexpected impacts of regional climate change, and understanding extreme weather events and their future changes.

Integrating hydrogeology and biogeochemistry are required to model the dynamics of geochemical processes occurring in river corridor zones where groundwater and surface water mix.

Theoretical analysis reveals flow variations that happen over longer time periods affect a plume’s spread and center of mass.

A new model offers more accurate predictions of how intensely hurricanes may strike.

PNNL data scientists are refining their artificial intelligence tools with COVID-19 data to advance therapeutics and treatments for a future pandemic.

PNNL data scientist was invited to give the first big-picture talk about autonomous control systems at the Autonomous Discovery in Science and Engineering Workshop.

An observed delay in the onset of tropical rainfall from 1979 – 2019 supports a hydrological sign of global warming seen in projections of the future from models.

New estimates show that coastlines around the world will experience an increase in the frequency of extreme sea level events at a range of global warming levels.

PNNL recognizes some of the outstanding postdoctoral researchers that move science forward during National Postdoc Appreciation Week.

Researchers measured the complex air flow that governs the formation of clouds and thunderstorms over Argentinian mountains.

Scientists created a benchmark dataset and explored new algorithms to better predict changes in the intensity of North Atlantic tropical cyclones.

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

Knowing which bacteria in a community are involved with carbon cycling could help scientists predict how microbial carbon storage and release could influence future climate dynamics.