The trifecta of predicting, assimilating, and downscaling streamflow has arrived with generative diffusion AI models.
machine learning & AI
Posted inOpinions
A Hybrid Approach for Revealing Headwater Hydrology
Coordinated work to compile existing data and apply models pairing physical understanding with machine learning could substantially improve streamflow predictions for little-known headwater basins.
Posted inResearch Spotlights
Comparing Machine Learning Models of Raindrop Formation
The simplest model, based on polynomials, yields the best performance.
Posted inResearch Spotlights
AI Improves Earthquake Detection
A new study shows the pros and cons of different model training methods.
Posted inResearch Spotlights
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.
Posted inScience Updates
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.
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.