PNNL research, featured on the cover of two science journals, describes advancements in using Raman spectrometry for Hanford Site nuclear waste remediation.

A new web-based tool provides easy-to-understand progress metrics and other data about groundwater cleanup sites overseen by the DOE Office of Environmental Management.

A new version of the Department of Energy’s Technical Resilience Navigator allows users to prioritize resilience solutions based on both risk reduction and emissions impact.

Identifying a novel gene function on soil viruses.

Study shows coastal plants are dying from hydraulic failure and carbon starvation.

Biochemical preservation and mineral association retain carbon in grassland soils, resulting in consistent molecular composition across ecosystems.

Launching a premier partnership, PNNL and the University of Texas El Paso (UTEP) signed a memorandum of agreement on UTEP’s campus on October 6.

Secondary organic aerosol formation from monoterpenes is more strongly influenced by oxidant and monoterpene structure than by nitric oxides and hydroperoxy radical concentrations.

Across the United States, water moving between the river and riverbed sediments does not overcome localized processes that govern organic matter chemistry.

SEA-CROGS is one of four Mathematical Multifaceted Integrated Capability Centers selected for support by the Department of Energy.

Two case studies of clouds evolving over the Arctic provide data that will help researchers evaluate cloud simulations.

Evaluating the accuracy of predicted plant aboveground biomass with different numerical solution options in a model of water transport in plants.

How hailstorms respond to human-created warming in the Great Plains depends on large-scale weather-producing systems.

The presence of mMarine microorganisms may enhance cloud droplet formation, leading to brighter clouds that reflect more sunlight.

Better representing electric capacity markets, economic retirements, and power-plant age structure provides a more robust understanding of the future evolution of the electric sector.

Newly developed deep learning models can estimate 3-D permeability fields from time-lapse geophysical electrical imaging.

Repeated aircraft measurements over central Oklahoma allow researchers to better understand the spatial variability of aerosol properties that affect cloud evolution.

Observational evidence shows that clouds strongly influence the seasonal heat exchange between Southern Ocean air and sea.

Developing a new method to identify the fraction of green vegetation from satellite data at high spatial resolution.

Both the type and composition of landforms affect atmospheric properties and clouds in a state-of-the-art Earth system model.