Researchers introduced a simulated carbon cycle to the Energy Exascale Earth System Model, broadening its utility and enabling new research directions.

A nanosized metal catalyst directly bonded to a metal-organic framework is active in converting carbon dioxide to methanol.

Ecosystem feedback fire model opens new investigative pathways into impacts of fire on future climate.

Increased precipitation intensity and hydrologic extremes are associated with atmospheric rivers under warming temperatures.

Developing an R package for modeling land use and land cover change.

Hybrid land use model incorporates key factors to understanding agriculture’s potential response to climate change.

Regional climate models reveal irrigation’s role in an intensified hydrologic cycle.

Biased vertical transport by storms may negatively impact regional weather and climate prediction.

Differences in the rainfall intensity of mesoscale convective systems and other types of warm—season rainfall in the central United States lead to differences in their impacts over land.

Researchers developed a new tool that combines artificial intelligence and microscopy data to rapidly test new materials for fusion reactor use.

An index that better captures El Niño-Southern Oscillation effects shows that Pacific tropical cyclones are more predictable than previously thought.

Study addresses shortcomings in global multiscale model storm simulations.

Atmospheric rivers that make landfall on the U.S. West Coast show broad increases in size and intensity with warmer local sea surfaces.

A new method separates climate responses initiated from atmospheric changes from those due to changing ocean circulation.

Experiments show fresh organic aerosol readily mix and mingle but remain separated as they age; results inform model assumptions about particle growth.

Floodplain inundation simulations shed light on flood generation mechanisms and the increasing role of extreme rainfall.

Machine learning applied to model cloud-cloud interactions traditionally absent in global climate models.

Atmosphere model errors in this region originate from their own limitations rather than lack of air–sea coupling.

Aerosols, El Niño, and sea surface temperature over the northern Gulf of Mexico influence variation.

New analysis assesses the realism and biases of tropical cyclones at various resolutions in E3SM.