US EditionAI model can predict lightning-induced wildfires with unprecedented accuracy
7 Articles
7 Articles
Global data-driven prediction of fire activity
Recent advancements in machine learning (ML) have expanded the potential use across scientific applications, including weather and hazard forecasting. The ability of these methods to extract information from diverse and novel data types enables the transition from forecasting fire weather, to predicting actual fire activity. In this study we demonstrate that this shift is feasible also within an operational context. Traditional methods of fire f…
AI model can predict lightning-induced wildfires with unprecedented accuracy
A new artificial intelligence (AI) model developed by Israeli researchers promises to revolutionize wildfire prediction, with a particular focus on lightning-induced blazes that are growing increasingly common due to climate change. The new AI model can predict where and when lightning strikes are most likely to cause wildfires, achieving more than 90% accuracy—a first in wildfire forecasting.
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