Deep Learning Uses Stream Discharge to Estimate Watershed Subsurface Permeability
Researchers used deep learning methods to estimate the subsurface permeability of a watershed from stream discharge measurements.
Disentangling the Complex Interactions Driving CO2-Related Arctic Sea Ice Loss
A new decomposition method allows scientists to unravel the atmosphere-ice-ocean interactions that drive Arctic sea ice changes under increasing carbon dioxide levels.
Suitable Spawning Habitat Awaits Salmon
Scientists at PNNL and the Confederated Tribes of the Colville Reservation identify acres of spawning habitat in the Upper Columbia River.
Simulating the Global Distribution and Climate Impacts of Nitrate Aerosol
Adding an advanced atmospheric aerosol treatment to a climate model enables assessments of the radiative effects of nitrate aerosols.
Weather Radar Super Resolution with Deep Learning
Researchers found that using deep neural networks can significantly enhance the resolution of observations from weather radars.
A New Option for Determining Aerosol Absorption from Wildfires
A recently developed laboratory-based technique allows researchers to quantify aerosol absorption from field campaign samples.
Increased Extreme Rains Bring More Nutrients to the Gulf of Mexico
Research shows that erosional nutrient fluxes linked to extreme rains may complicate efforts to reduce nutrient enrichment in the Gulf of Mexico.
National Oceans Month
June is National Oceans Month and June 8th is World Ocean Day. Join us in celebrating the ocean, and learn more about our research in marine energy and restoring coastal ecosystems.
Ultra-Sensitive Radiation Detectors Provide Deeper Dive into Groundwater
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.
Building a Global Storm Database
A high-resolution dataset captures a more complete view of the global distribution and characteristics of strong storms called mesoscale convective systems.