A new high-spatiotemporal resolution dataset of convective systems allows researchers to better study warm season storms in the U.S.

Merging long-term records of aerosol loading to create a high-quality, useful dataset for a continental site.

The urbanization of Kansas City changed the path, intensified, and increased large hail production in a studied severe convective storm.

Research provides overview of the consequences of a new set of future scenarios based on Earth system model simulations.

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.

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

George Karniadakis receives award highlighting 30 years of work developing computational methods to solve real-world problems.

Night shift work disrupts the natural 24-hour rhythms in the activity of certain cancer-related genes, making workers more vulnerable to damage to their DNA.

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

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

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

As a member of the NAM board of directors, Brett Jefferson, PNNL data scientist, will help lead the professional association’s mission to advance mathematical excellence of underrepresented minorities.

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.

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

New mathematical tools developed at PNNL hold promise to transform the way we operate and defend complex cyber-physical systems, such as the power grid.

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

The partnership to apply artificial intelligence to improve complex systems is part of a U.S. Department of Energy Office of Science $4.2 million, three-year grant.