Researchers at PNNL and the University of Washington examined storms seen by the GPM satellite and found that deep convective storms have been occurring surprisingly frequently at high latitudes during the warm seasons of recent years.

Researchers quantified temperature and gas-cycle responses over time of five simple climate models to impulses of carbon dioxide, methane, and black carbon.

Researchers investigated aerosol impacts on mesoscale convective systems forming under different wind shear conditions.

Researchers analyzed the relationship between Earth’s climate sensitivity and historical/future sea level projections, with a particular focus on the high‐impact upper tail.

A team of researchers discovered more about how sea ice in the Southern Ocean might regulate changes in the amount and location of Antarctic precipitation.

Soil respiration—the flow of CO2 from the soil surface to the atmosphere—is one of the largest carbon fluxes in the terrestrial biosphere.

New analysis indicates that emissions from abandoned mines will contribute to higher emissions than previously thought.

Early achievement of net-zero greenhouse gas emissions in California brings much larger health benefits than economic cost.

Nighttime interaction between Bay Area pollution and biogenic isoprene led to efficient formation of secondary organic aerosols.

Agent-based models of water resource management can include the interaction between human-engineered systems and natural processes

PNNL employs deep learning strategies to advance Model Predictive Control (MPC), a highly promising solution for intelligent building operations.

A new procedure for estimating sunlight reflection provides insight into feedbacks that affect Arctic warming.

Tower, aircraft, and satellite observations combined to evaluate weather forecast model.

Tree presence impacts how soils respond to temperature change in coastal forest.

An integrated water model quantifies the impact of water management on thermoelectric power plant generation.

Scientists are exploring ways to derive more accurate predictions that can help with preparations for changing sea levels

PNNL’s Srinivas Katipamula and Nora Wang have received a Northwest Energy Efficiency Alliance award for contributing to the success of Seattle’s Building Tune-Up Accelerator Program.

PNNL’s Intelligent Load Control technology manages and adjusts electricity use in buildings when there’s peak demand on the power grid.