Large ensemble simulations show that aerosols can significantly modify the predictability of hail and precipitation in hailstorms.

The most polluted U.S. communities from five years ago are still the most polluted today, 50 years after passage of the Clean Air Act amendments of 1970.

Soil texture and environmental history play a strong role in how different soils respond to moisture extremes like drought and flood.

Researchers used instruments in an airborne lab to characterize aerosol particles and their sources over the remote Eastern North Atlantic.

Seeking a deeper understanding of when, where, and why large wildfires occur using explainable artificial intelligence.

Urban pollution greatly increases the number of particles over the Amazon, mainly through new particle formation controlled by biogenic gases.

Research shows that erosional nutrient fluxes linked to extreme rains may complicate efforts to reduce nutrient enrichment in the Gulf of Mexico.

New research shows that a warmer ocean strengthens the North Pacific westerly jet stream, steering more storms toward California.

Researchers found that using deep neural networks can significantly enhance the resolution of observations from weather radars.

Field campaign data shows that biologically-derived emissions largely control the formation of organic aerosol in the Southern Great Plains.

Researchers found that warmer local sea surfaces increase the winter snowpack in the Sierra Nevada mountains, but reduce snowpack in the Cascade range.

Researchers developed a novel database of global mesoscale convective systems to reveal storm characteristics and rainfall contributions.

Adding an advanced atmospheric aerosol treatment to a climate model enables assessments of the radiative effects of nitrate aerosols.

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.