Wind is the driving force behind many damaging weather phenomena. It can fan the flames of wildfires, topple trees onto powerlines, and cause dangerous conditions for aircraft during takeoffs and landings. NSF NCAR researchers are working on a major new project to predict these small-scale wind events that have major impacts on society.

Scientists have determined how the fertile fields and shallow groundwater of the U.S. Corn Belt fuel powerful thunderstorms.

A new AI tool built by NSF NCAR can help forecasters look further into the future as they work to identify the potential for deadly severe weather outbreaks.

Covering the contiguous United States, the new Domestic Aviation Forecast System (DAFS) generates more detailed forecasts of evolving icing and turbulence risks, giving pilots real-time intelligence about changing weather conditions along their flight path. NSF NCAR researchers led the scientific development of the icing and turbulence capabilities for this system.

The new MESACLIP dataset consists of an unprecedented set of high-resolution Earth system simulations and is freely available to the scientific community.