Differences in dissolved organic matter between rivers and estuaries follow similar patterns across freshwater and saltwater coasts.

Numerical simulations reveal how well-controlled wall temperature and moisture can generate a stratocumulus-like cloud top in a laboratory cloud chamber.

A new tracer model tracked how May 2015 storm water re-entered the atmosphere and contributed to later rainfall.

Physics-informed and data-driven neural network models enhance Earth system models in simulating compound flooding at river-ocean interfaces.

A new interactive map gives state policymakers a birds-eye-view of wildfire-related legislation around the United States.

The Iowa Nuclear Energy Task Force, chaired by PNNL’s Mark Nutt, evaluated the state’s potential nuclear future including emerging technologies, workforce needs, waste management, and economic growth opportunities.

Since the events of 9/11, PNNL has pivoted repeatedly to meet ever-evolving challenges around safety and security.

Commercialized PNNL technology helps utilities improve grid efficiency and reliability, reducing power disruptions for customers.

Demonstrated that cathodic potential accelerates aqueous phase benzaldehyde hydrogenation.

Newly designed sensor network comprehensively monitors a range of coastal landscapes to better understand nutrient and elemental dynamics that drive ecosystem function.

Observations and models showed that tropical cyclone outer size increased in the western North Atlantic since 1979.

Over 115 million environmental observations are now publicly available to enhance research of coastal forest ecosystems.

Exploring how shifting boundaries between upland and wetland areas influence soil processes and signal early ecosystem transformations.

A high-performance, scalable pipeline transforms raw high frequency coastal sensor data into research-ready datasets.

Researchers support NRC in accelerating the environmental review process for restarting reactors to meet increased electricity demands—starting with the Palisades Nuclear Plant.

Artificial intelligence helps analyze images and reduce uncertainty for a key measure of watershed function.

Dynamic organic matter traits tied to reactions can surpass static descriptors in explaining decomposition rates and responses to environmental change.

Using an AI approach to combine outputs from microbial models and apply them as inputs to reactive-transport models reduces computational time by several orders of magnitude.

Global exercise advances nuclear forensic science and investigative capabilities.

Made with less than 0.15 percent polymer, the material quickly seals damage and restores strength across repeated cracking cycles.