Two structurally different models agree that population change will have a greater impact on future building electricity consumption than climate change.

Historical weather data informs projections of global yields of economically important crops.

To accurately model future U.S. agricultural production, changes in international crop yields cannot be ignored.

Ken Geelhood is a nuclear engineer who is studying how the challenging conditions of a nuclear reactor affect the reliability of fuel.

Researchers introduced a simulated carbon cycle to the Energy Exascale Earth System Model, broadening its utility and enabling new research directions.

A new report outlines future research paths that are needed for airlines to reduce carbon emissions and notes that the only way to achieve emission reduction goals is with Sustainable Aviation Fuels.

Ecosystem feedback fire model opens new investigative pathways into impacts of fire on future climate.

Increased precipitation intensity and hydrologic extremes are associated with atmospheric rivers under warming temperatures.

Developing an R package for modeling land use and land cover change.

Hybrid land use model incorporates key factors to understanding agriculture’s potential response to climate change.

Researchers at Pacific Northwest National Laboratory (PNNL) are closer to understanding how iron may pave the way for sequestration of technetium-99 contaminants in the subsurface.

PNNL data scientists Ján Drgoňa and Draguna Vrabie are working to reduce deployment costs of advanced energy control systems for buildings.

Differences in the rainfall intensity of mesoscale convective systems and other types of warm—season rainfall in the central United States lead to differences in their impacts over land.

Researchers developed a new tool that combines artificial intelligence and microscopy data to rapidly test new materials for fusion reactor use.

Atmospheric rivers that make landfall on the U.S. West Coast show broad increases in size and intensity with warmer local sea surfaces.

Floodplain inundation simulations shed light on flood generation mechanisms and the increasing role of extreme rainfall.

PNNL bioenergy expert Dan Gaspar has been selected to assume leadership of DOE’s Co-Optimization of Fuels and Engines initiative.

Materials scientists at PNNL are demonstrating materials with improved properties using solid phase processing.

Information extracted from a variety of atmospheric observations can correct the behavior of a model and improve simulated clouds.

PNNL is one of the collaborating partners on a new grid-scale solar and energy storage installation near the PNNL campus in a project led by Energy Northwest.