Quantifying the future energy requirements of agricultural, industrial, and municipal water sector use.

Calculating the multi-region and multisector effects of water scarcity for thousands of possible future socioeconomic, climate, and hydrologic scenarios.

Explainable artificial intelligence—understanding and explaining the reasoning behind AI decisions—is a necessity for national security.

Developing solutions and capabilities to advance environmental justice with 25 years of hands-on, multidisciplinary experience nationwide.

An overview of the Energy Exascale Earth System Model project describing its goals, science drivers, and development and highlighting its key findings.

On the looming 10th anniversary of the Fukushima disaster at the Daiichi Power Station in Japan, PNNL looks back at the science and solidarity it has shared with Fukushima and its nuclear cleanup effort.

Scientists used the strength of land-atmosphere coupling to improve predictions of East Asian summer monsoon rainfall.

Fifty-eight PNNL staff members were recognized as members of enterprise-wide teams that helped address challenges in national health and security through transformative science and technology solutions.

A new type of ice chamber allows researchers to understand how ice forms on atmospheric aerosol particles.

Explainable AI helps scientists understand and untangle the threads of information that the system uses to make choices or recommendations.

Current representations of shallow clouds in climate models have biases that lead to inaccuracies in models.

A new process-oriented diagnostic approach provides new insights into simulated storms and their environments.

Demonstrating methods for using a portable optical particle spectrometer, a miniaturized and highly sensitive instrument, to measure atmospheric aerosol size distributions.

Satellite observations provide insight into the processes that control the spatial distributions of dust in global climate models.

Ultra-trace radiation detection technique sets new global standard for measuring the nearly immeasurable.

Scientists discovered that a warming climate delays monsoonal rain, but only over land.

Regional climate models reveal irrigation’s role in strong precipitation and low-level winds across the Central United States.

Comparing large datasets from coordinated aircraft flights provides critical information about data researcher use in a range of analyses.

Urbanization-induced land cover and anthropogenic aerosol changes result in stronger thunderstorms with enhanced precipitation in the Houston area.

A recent edition of the Infrastructure Resilience Research Group Journal featured an article written by PNNL researchers Rob Siefken and Jake Burns about “Design Basis Threat and the Low Threat Environment.”