人工智能算法未能解决天气预报的一个关键限制。
machine learning & AI
Machine Learning Identifies Source Volcanoes of Ash Deposits
Tracing ash layers from explosive eruptions back to their source volcanoes is needed to evaluate hazards to population and aviation, a problem addressed by a new machine learning classification method.
Rivers Are Warming Up and Losing Oxygen
Researchers used deep learning to fill in the gaps of “patchy” water quality data, revealing decades-long trends toward warmer and less oxygenated rivers that could have worrisome consequences.
Advancing AI and Machine Learning Beyond Predictive Capabilities
A new cross-journal special collection invites contributions that unlock the next frontier in hydrology and Earth sciences through artificial intelligence and machine learning.
AI Meets Its Match: The Butterfly Effect
Artificial intelligence algorithms fail to account for a key limitation in weather prediction.
Machine Learning Highlights Ways to Improve Flood Mitigation
New research shows that home flood insurance coverage is often a reactive purchase in response to flooding, while top-down policies that focus on community resilience may offer more robust protection.
Machine Learning Provides a Clearer Window into Ocean Motion
A new method could translate satellite information about sea surface heights into insights on current, heat flow, and—ultimately—climate change.
How to Address Publication Overload in Environmental Science
Combining traditional human-curated syntheses of scientific research with the search and visualization tools of artificial intelligence could guide researchers through avalanches of publications.
Better Bottom-Up Estimates of Wetland Methane Emissions
Limited monitoring of methane emissions from tropical wetlands could be obscuring these environments’ role in climate change.
AI Could Reshape Climate Communication
If we can overcome its pitfalls, AI holds promise for improving trust in climate science and activating a largely disengaged public, with meaningful consequences for health and well-being globally.