A new AI-driven system designed to better predict forest fires and their impact on the global carbon cycle was presented at the annual conference of the American Meteorological Society.
Researchers at CIRES (Cooperative Institute for Research in Environmental Sciences) have unveiled a new AI system designed to better predict forest fires and track their impact on the global carbon cycle in greater detail.
As forest fires become more frequent, intense and prolonged — from the Mediterranean to the Arctic — with repercussions for ecosystems, public health and the local economy, these forecasting tools aim to give the authorities extra time to organise their response.
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