NCAR has successfully developed an advanced solar energy forecasting system for New York that offers the potential to help the state achieve its renewable energy goals while saving millions of dollars for ratepayers.

A new computer modeling technique developed by NCAR scientists offers the potential to generate months-ahead summertime drought forecasts across the Western United States with the capability of differentiating between dry conditions at locations just a couple of miles apart.

Beta Release now available on GitHub.

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.

A new dataset has been developed at NCAR which provides estimated lake bathymetry data for over 1.4 million lakes and waterbodies world-wide.