Coupling an AI-driven model of the atmosphere with a model of the ocean could help scientists create highly efficient emulations of the entire Earth system.
Journal of Geophysical Research: Machine Learning and Computation
Posted inResearch Spotlights
Unveiling What’s Under the Hood in AI Weather Models
Artificial intelligence models have improved weather forecasting, but their inner workings are largely opaque. A new approach could make their predictions more interpretable by scientists.
Posted inEditors' Vox
Advances in Ecological Forecasting
AGU and ESA invite contributions to a cross-society special collection on ecological forecasting across ecosystems and scales.
Posted inEditors' Highlights
Machine Learning Provides a New Perspective of Low-level Clouds
Low-level clouds over the oceans, extensively studied for their role in climate change, are re-examined from a new perspective that applies machine learning to radar observations.
Posted inEditors' Vox
Announcing New AGU Journal Editors-in-Chief Starting in 2025
AGU is excited to welcome new Editors-in-Chief for five of our journals in 2025.
Posted inResearch Spotlights
Physics Meets Machine Learning for Better Cyclone Predictions
A new hybrid modeling approach combines physics-based and machine learning models to extend—and improve—path and intensity predictions of tropical cyclones.
Posted inEditors' Vox
JGR: Machine Learning and Computation is Open for Submissions
The founding Editor-in-Chief discusses how AGU’s newest journal will capture critical advancements of the techniques moving scientific discovery forward.
Posted inEditors' Vox
Announcing New AGU Journal Editors-in-Chief Starting in 2024
AGU is excited to welcome new Editors-in-Chief for seven of our journals in 2024, including the founding Editor of JGR: Machine Learning and Computation.