Solar energy forecasts in California substantiated overestimated energy production when wildfire smoke dimmed the skies.

A new technique developed by NCAR uses artificial intelligence to efficiently update the vegetation maps that are relied on by wildfire computer models to accurately predict fire behavior and spread.

This summer’s western wildfire season is likely to be more severe than average but not as devastating as last year’s near-record, according to an experimental prediction method developed by NCAR scientists.

As wildfires threaten much of the West during another hot and dry year, NCAR scientists are researching key aspects of these destructive events.

Scientists have used artificial intelligence techniques to create a publicly available dataset of the underwater topography, or bathymetry, of more than 1.4 million inland lakes and reservoirs around the world.

NCAR researchers seek to use weather information to improve the efficiency of autonomous vehicles.