Sea ice is a fundamental regulator of Earth’s climate and an increasingly urgent forecast target itself. Can we trust the AI systems now being built to predict it?
machine learning & AI
Posted inResearch Spotlights
Scientists Zero In on Tiny Particles to Improve Weather and Air Quality Forecasts
A new method for handling satellite aerosol observations boosts simulation accuracy, with potential benefits for weather and climate forecasting.
Posted inEditors' Vox
How Can We Make Better Decisions About What Lies Underground?
Geophysical data offer incomplete clues about the subsurface. Bayesian inversion turns them into plausible scenarios and shows which uncertainties matter for real-world decisions.
Posted inEditors' Highlights
Streamflow From Generative AI
The trifecta of predicting, assimilating, and downscaling streamflow has arrived with generative diffusion AI models.
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.