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.

A high-resolution dataset captures a more complete view of the global distribution and characteristics of strong storms called mesoscale convective systems.

Rising greenhouse gases and declining aerosols have triggered an approximate four-day delay in rainfall over tropical land and the Sahel.

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

A research project that brings together mathematicians and atmospheric scientists has developed into a deep collaboration for improving atmospheric models.

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.

A collaboration among PNNL, Washington State University, and Tsinghua University has led to the discovery of a mechanism behind the decline in performance of an advanced copper-based catalyst.

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.

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.