The persistent double-ITCZ bias in Earth system models influences projections of future precipitation in regions that are already under severe water stress.

Easy-to-use web-based version of the “hector” global climate model emulator now available for researchers and Earth science educators.

Scientists devised a new energetic framework that enables them to decipher the patterns of Asian summer rainfall.

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.

New facility will accelerate energy storage innovation, increase clean energy adoption and grid resilience.

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.

PNNL teamed with academia and industry to develop a novel zero-emission methane pyrolysis process that produces both hydrogen and high-value carbon solids suitable for an array of manufacturing applications.

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

New facility that will accelerate energy storage innovation and make the nation’s power grid more resilient, secure and flexible has been given the green light to proceed by the U.S. Department of Energy.

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.

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.