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.

A project at the University Corporation for Atmospheric Research (UCAR), called 3D-PAWS (3D-Printed Automatic Weather Station), is adding a new set of remote-sensing capabilities that will measure streamflow, storm surges, and snowfall depth to its suite of successful 3D-printed weather stations. This initiative will bring low-cost remote sensing instruments to the world’s “unseen” areas.

A statement on the tragic deaths of three students who had a bright future in meteorology.