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.
machine learning & AI
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.
Établir une carte d’identité du bois pour freiner la déforestation illégale
Des chercheurs ont créé un nouvel outil d’analyse pour améliorer la traçabilité du bois qui pourrait permettre d’appliquer la législation de l’Union européenne visant à lutter contre la déforestation.
Global Earthquake Analysis Seeks Elusive Foreshock Signal
Spotting foreshocks for what they are could help seismologists forecast large earthquakes.