A Day of Climate: How Neural Networks Brought Air and Ocean Together ✛

Original: "SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators"
arXiv:2509.12490 · 2025-09-15 · CC BY 4.0 · 1 min
Scientists combined two neural networks into a climate model that runs 3750 times faster than usual and, for the first time, reproduces El Niño.

Two musicians play a duet, but each hears only their own part. The atmosphere and ocean in a climate model are like such a duet: they exchange heat and moisture every few hours. The new model SamudrACE has, for the first time, made them play together for centuries without missing a beat.

Scientists took two ready-made neural networks: one mimics the atmosphere, the other the ocean. Each was trained separately on 155 years of climate model simulation. Then they connected them through a simple exchange: the atmosphere hands over heat, moisture, and wind stress fluxes to the ocean every 6 hours, while the ocean averages them over 5 days and returns surface temperature and ice concentration. After connecting, the model was fine-tuned so both parts get used to each other.

The speed is staggering: 1500 model years per day on a single graphics card. A conventional model running on thousands of processors would use 3750 times more energy for the same task.

The key result: the model reproduces El Niño, the warm current in the Pacific that influences weather worldwide. Previously, no coupled neural network model had managed this phenomenon, because it arises only from the interaction between atmosphere and ocean. Now that the duet plays in harmony, scientists can quickly test climate hypotheses and prepare the model for scenarios with rising carbon dioxide.

The model is named SamudrACE as a hybrid of Samudra (a Sanskrit word meaning ocean) and ACE (Ai2 Climate Emulator). On a single GPU, it runs climate faster than real time: for each second of computer time, 6.4 model days pass.

The idea of a fast climate simulator that lets us peek into Earth's future echoes Kim Stanley Robinson's novel "The Ministry for the Future," where climate models become tools for political decisions. SamudrACE does not predict the future yet, but it makes such experiments practically accessible.

Concepts
coupled general circulation model climate model ocean-atmosphere coupling ERA5 ensemble forecast climate data assimilation atmosphere global warming ocean current sea surface temperature sea surface temperature anomaly GPCP Satellite layers carbon cycle computer simulation Niño 4 marine heatwave ENSO troposphere