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

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

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.

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.

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

Aerosol treatments in E3SM affect clouds, heat reflected to space, and Earth’s snow-or-ice-covered surface.

A PNNL engineering team has designed personal protective equipment in support of COVID-19 aid.

Researchers created an open database for soil-atmosphere greenhouse gas flux data.

PNNL researchers used the Global Change Analysis Model (GCAM) to explore 15 different global scenarios that consisted of combinations of five different socioeconomic futures and four different climatic futures.

New-particle formation driven by natural biogenic emissions produces a large number of small particles in the Amazon free troposphere.

The Facility Cybersecurity toolkit, developed by PNNL, is designed for federal facilities to help implement the presidential executive order on cybersecurity, but it is also available for commercial facilities without charge.

PNNL building energy-efficiency expert Theresa Gilbride has been invited to participate in a new task group that will provide guidance to make homes more resistant to hurricanes and high winds.

A team of researchers led by scientists from PNNL simulated carbon cycling and community composition during 100 years of forest regrowth following disturbance.

The PNNL-developed VOLTTRON™ software platform’s advancement has benefited from a community-driven approach. The technology has been used in buildings nationwide, including most recently on a university campus.

PNNL mechanical engineer Stephanie Johnson has been recognized by DOE’s Advanced Manufacturing Office for making a significant impact in energy-efficiency research.

Mesoscale convective systems produce more intense rainfall than warm-season rain in this region.

This study by PNNL researchers provides an alternative explanation for why the Arctic warms more than the Antarctic.