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.
machine learning & AI
Posted inResearch Spotlights
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.
Posted inEditors' Vox
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.
Posted inEditors' Highlights
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.
Posted inOpinions
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.
Posted inResearch Spotlights
How to Study Coastal Evolution
Researchers reviewed what’s known about how coastlines are changing and made recommendations for how to learn more.
Posted inEditors' Highlights
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.
Posted inEditors' Vox
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.
Posted inEditors' Highlights
Machine Learning Could Enhance Earth System Modeling
Based on tests of a machine learning-based (ML) hybrid model, combining ML with established physics-based frameworks represents a promising path toward developing ML-based Earth system models.
Posted inEditors' Highlights
Taming the Seismicity Tsunami with a Scalable Bayesian Framework
By combining the power of artificial intelligence with advanced physics simulations, a new framework called “SPIDER” allows us to map seismic activity with unprecedented clarity.