A new artificial intelligence program being used in Colorado will help identify wildfires as small as an acre by scanning images taken by weather satellites orbiting about 22,000 miles above the Ea…
Kyle Thiem, test and evaluation meteorologist with NOAA’s Global Systems Laboratory, highlights a high wind event in an upcoming simulation at the start of the final day of evaluating two new wildland fire decision support tools in NOAA’s new Fire Weather Testbed. Alex Zwink, left, an IT specialist with the NWS Warning Decision Training Division, and Michael Pavolonis, center, the Wildland Fire Program manager, look on.
The tests were a success, said Zach Tolby, the Fire Weather Testbed manager. The Next Generation Fire System has been online for about a year in experimental form, he said, but agencies are now beginning to use it in real time. Similarly, all of the most destructive fires in state history burned in the last 12 years, including the 2021 Marshall fire.“Wildland fire is a growing crisis and wildland fire managers are in need of better tools,” Pavolonis said. “That’s really the role of tech: To make decision-making more efficient and effective for humans, who are making really big decisions about people and resources.”
“Rising temperatures, declining snowpack and frequent droughts are all leading to a dramatic surge in wildfire frequency and severity across the United States,” NOAA Administrator Rick Spinrad said in a news release about the Bipartisan Infrastructure Law funding. He said the investments would help develop new tools to improve the accuracy of forecasts as well as “assist local officials’ decision-making and communicate vital public safety information to more people more quickly.
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