Fast-growing fires were responsible for nearly 90% of fire-related damages despite being relatively rare in the United States between 2001-2020, according to a new study that was led by CU Boulder and involved NSF NCAR.

Over the last half century, the NSF NCAR Dropsonde Program has remained the leader in developing dropsonde technology.

A project co-led by NSF NCAR that will use artificial intelligence models to predict storm evolution has received funding through NSF's Collaborations in Artificial Intelligence and Geosciences (CAIG) program.

More accurately predicting periods of increased hurricane activity weeks in advance may become possible due to new research published this month. Research from NSF NCAR shows that twice as many hurricanes form two days after the passing of large-scale atmospheric waves called Kelvin waves than in the days before.

Researchers have found that the turbulent movements of air in clouds play a key role in the growth of water droplets and the initiation of rain.