EDITOR’S NOTE: This story, which originally ran in August 2024, has been updated. No part of the United States is spared the risk of extreme weather events, which have been hitting harder in recent ...

Increasingly powerful AI models can make short-term weather forecasts with surprising accuracy. But neural networks only predict based on patterns from the past—what happens when the weather does ...

Human-caused climate change is influencing extreme weather events. Climate advocates want that fact front and center. Credit: Act of Man What do you do when people aren't taking the climate crisis ...

Tidal wetlands are critical, yet vulnerable ecosystems. Tidal marshes, mangrove forests, and tidal flats support biodiversity, protect against flooding and storm surges, sequester carbon, and improve ...

In the case of weather forecasts, scientists train neural networks by feeding them decades' worth of weather data. Then a user can input data about the current weather conditions and ask the model to ...

Gray swan events are extreme weather events that cause local devestation, like Hurricane Lee in 2023, shown here. Increasingly powerful AI models can make short-term weather forecasts with surprising ...

Scientists found that neural networks cannot yet forecast 'gray swan' weather events, which might not appear in existing training data but could still happen -- like 200-year floods or massive ...