PNNL combines AI and cloud computing with damage assessment tool to predict path of wildfires and quickly evaluate the impact of natural disasters, giving first responders an upper hand.

At PNNL, women in engineering tackle some of the world’s most complex problems in environmental science, sustainable energy, and national security.

PNNL provided ultra-low measurements of argon-39 to date groundwater as part of a collaborative study of the aquifer in California’s San Joaquin Valley. PNNL is one of only a few laboratories worldwide with this capability.

Stanford-bound aspiring scientist gained valuable national laboratory research experiences through the Community College Internship program at PNNL.

Research shows that previous drought and flooding conditions strongly influence soil respiration and carbon composition.

PNNL’s Framework for Assessment of Complex Environmental Tradeoffs helps navigate and evaluate competing environmental, economic, and social impacts.

Research shows that erosional nutrient fluxes linked to extreme rains may complicate efforts to reduce nutrient enrichment in the Gulf of Mexico.

PNNL is lending analytics expertise to a new first-of-its-kind electric-vehicle carsharing program being launched in Hood River, Oregon.

A research project that brings together mathematicians and atmospheric scientists has developed into a deep collaboration for improving atmospheric models.

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

Researchers found that using deep neural networks can significantly enhance the resolution of observations from weather radars.

Principles derived from coastal wetlands to describe wetland channel cross-sections were applicable to the Columbia River estuary, but not the tidal river.

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.

Eleven scientists with PNNL affiliations named as top climate scientists on a Reuters list.

Researchers developed a novel database of global mesoscale convective systems to reveal storm characteristics and rainfall contributions.

PNNL Earth scientist appointed to a committee assembled by the National Academies of Sciences, Engineering, and Medicine.

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.

A collaboration among PNNL, Washington State University, and Tsinghua University has led to the discovery of a mechanism behind the decline in performance of an advanced copper-based catalyst.

Researchers used deep learning methods to estimate the subsurface permeability of a watershed from stream discharge measurements.