COVID-19 changed when and where we use electricity. Researchers showed that commonly available total demand data masked the actual changes.

Storage Targets and Release Function Inference Tool uses data to infer the operating policies of large reservoirs on a national scale.

A multisectoral analysis that combines land use data with hydrological simulations reveals wide disparities in potential source water contamination.

PNNL scientist Brian O’Neill led the compilation of an IPCC chapter about climate-related risks.

COVID-19 had multiple impacts on the electric sector and the nature of those impacts varied on the scale analyzed.

To improve the study of human-Earth interactions, a 10-year vision report by the MultiSector Dynamics community of practice encourages the use of emerging human systems datasets, embedded intelligence in modeling, and workforce diversity.

Using a novel settlement-related dataset produced more accurate population downscaling than using other, more traditional datasets.

Despite an increase in future electricity demands, virtual water trading in the U.S. electricity sector is expected to decline as renewable energy expands.

Human-machine teaming may sound like something from the distant future. In “Human-Machine Teaming: A Vision of Future Law Enforcement” in Domestic Preparedness, Corey Fallon, Kris Cook, and Grant Tietje of PNNL examine this topic.

PNNL engages in expert panels to address emerging policy issues surrounding deep space exploration; forms new partnership with University of Washington Space Policy and Research Center.

PNNL helped bring together officials from United States and Philippines for a multi-day virtual seminar on strategic trade controls.

When training for chemical and biological threats, in-person exercises and drills can be very limited due to the hazardous nature of the agent.

PNNL combines AI and cloud computing with damage assessment tool to predict path of wildfires and quickly evaluate the impact of natural disasters, giving first responders an upper hand.

A series of internships and course work help prepare PNNL intern Eva Jacroux for prestigious scholarship.

In the face of the COVID-19 pandemic, PNNL pivoted to online learning approaches to conduct critical national security training across the globe.

Sentry-SECURE is a new communication and response platform developed by PNNL, VPI, and Microsoft Azure that rapidly and securely transfers radiological alarm data through the cloud.

PNNL designed a free, web-based tool to visually explore the National Response Framework.

As the COVID-19 pandemic continues, PNNL is offering support to its neighbors in the Mid-Columbia region and across Washington State.

In a December press release, the National Nuclear Security Administration (NNSA) announced the safe and secure removal of 50 sample containers of plutonium-239 and americium-241.

In 2020, virtual Washington State University teams successfully worked together in a program sponsored by the National Nuclear Security Administration’s (NNSA) Office of International Nuclear Safeguards.