New AI-Driven Landslide Prediction Model Offers Lifesaving Edge in an Era of Extreme Weather
As climate change fuels heavier rainfall and increases the frequency of extreme weather events, landslides have become more common, more widespread, and harder to predict. But a groundbreaking new study from Northwestern University and UCLA offers a game-changing tool in the battle to forecast and potentially prevent these destructive natural disasters.
Published in Geophysical Research Letters, the study introduces a new process-based framework for landslide prediction that moves beyond traditional, rainfall-only models. The innovation? A dynamic system that simulates the full water cycle from rain and runoff to soil saturation and snowmelt and uses artificial intelligence to identify the different pathways that lead to landslides.
"Current early warning systems often fail to accoun...









