Large ensemble simulations show that aerosols can significantly modify the predictability of hail and precipitation in hailstorms.

PNNL researcher Erol Cromwell uses neural networks to elucidate subsurface permeability.

The most polluted U.S. communities from five years ago are still the most polluted today, 50 years after passage of the Clean Air Act amendments of 1970.

PNNL computational scientist Diana Bacon’s role as carbon storage associate editor uses her expertise in subsurface modeling and quantitative risk assessment.

Soil texture and environmental history play a strong role in how different soils respond to moisture extremes like drought and flood.

Researchers used instruments in an airborne lab to characterize aerosol particles and their sources over the remote Eastern North Atlantic.

Seeking a deeper understanding of when, where, and why large wildfires occur using explainable artificial intelligence.

Urban pollution greatly increases the number of particles over the Amazon, mainly through new particle formation controlled by biogenic gases.

A high-resolution dataset captures a more complete view of the global distribution and characteristics of strong storms called mesoscale convective systems.

Rising greenhouse gases and declining aerosols have triggered an approximate four-day delay in rainfall over tropical land and the Sahel.

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.

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

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.

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.

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

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