A new study shows the pros and cons of different model training methods.
machine learning & AI
Machine Learning Rediscovers Equations Governing Ocean Biogeochemistry
Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.
Vast Space, Sparse Data: An AI Answer to Twin Space Weather Challenges
Modern machine learning and AI methods can help heliophysics researchers and space weather forecasters overcome limitations from a dearth of observations and the infrequency of extreme events.
Keeping Humans in the Loop Improves Flood Forecasting
Artificial intelligence and machine learning can improve flood predictions—but human expertise still matters for accurate warnings, new research says.
Tracing Water’s Hidden Journey Through the Earth’s Living Skin
Water’s natural fingerprints reveal how it’s stored, mixed, and released through the Earth’s Critical Zone, potentially improving Earth System models in a rapidly warming world.
A Digital Twin for Arctic Permafrost Beneath Roads
A physics-informed digital twin uses high-resolution temperature data to track, update, and predict permafrost conditions beneath an Alaskan embankment road.
The Genesis Mission Needs Hydrology: Here’s How to Incorporate It
By positioning water security as one of the “most challenging problems of this century,” the Genesis Mission can become the sandbox in which AI reshapes how the United States measures, models, and manages water.
How to Study Coastal Evolution
Researchers reviewed what’s known about how coastlines are changing and made recommendations for how to learn more.
Machine Learning Can Improve the Use of Atmospheric Observations in the Tropics
Scientists develop a novel machine learning-based technique that is equally effective in gaining information from observations about the unobserved state variables in the midlatitudes and tropics.
Synergistic Integration of Flood Inundation Modeling Methods
Recent flood modeling advances are trending into silos that compete rather than complement each other, hampering the opportunity for transformative progress toward protecting lives and communities.
