Regional climate models reveal irrigation’s role in strong precipitation and low-level winds across the Central United States.

Comparing large datasets from coordinated aircraft flights provides critical information about data researcher use in a range of analyses.

Urbanization-induced land cover and anthropogenic aerosol changes result in stronger thunderstorms with enhanced precipitation in the Houston area.

Long term power grid planning needs to consider regional dependencies in climate adaption plans.

Rigorous mathematical methods can help avoid unnecessary simplifications in numerical models of atmospheric clouds.

More accurate methods provide better results in numerical simulations of atmospheric clouds by avoiding accidental contradictions.

Land use and land cover change strongly alters land–atmosphere interactions and warm-season precipitation over the Central U.S. in variable-resolution Earth system model simulations.

Integrating information on irrigation processes into Earth system models allows for more accurate representation of the global water cycle.

Hector, a reduced complexity climate model, can be calibrated to emulate 30 different complex, computationally expensive Earth System Models.

New experiments show organic aerosol can be lost from the atmosphere faster than most models predict.

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

Pervasive shifts in forest dynamics in a changing world started decades ago and are likely to continue.

Two structurally different models agree that population change will have a greater impact on future building electricity consumption than climate change.

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

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

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

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

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

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

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.