A recently developed laboratory-based technique allows researchers to quantify aerosol absorption from field campaign samples.

Researchers developed a strategy for quantifying the numerical errors in global simulations of atmospheric clouds and attributing them to components in the computational model.

By improving the detail in representations of turbulence, researchers can more accurately simulate agricultural soil emissions in the atmosphere.

A new decomposition method allows scientists to unravel the atmosphere-ice-ocean interactions that drive Arctic sea ice changes under increasing carbon dioxide levels.

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

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.

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.

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.