Researchers used new techniques to more precisely estimate ground elevations on Mars, producing a refined resolution map for rover landings.
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.
