A new special collection welcomes research that bridges the gap between rigorous Essential Climate Variable (ECV) monitoring, AI analytics, and climate policy.
Journal of Geophysical Research: Machine Learning and Computation
AI Sheds Light on Hard-to-Study Ocean Currents
The Maluku Strait is a key predictor of conditions in the Indonesian Throughflow, modeling shows.
A Step Toward AI Modeling of the Whole Earth System
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.
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.
Advances in Ecological Forecasting
AGU and ESA invite contributions to a cross-society special collection on ecological forecasting across ecosystems and scales.
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.
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.
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.
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.
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.
