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20242026
most citedSamudra: An AI Global Ocean Emulator for Climate

17 citations · 28 across the 7 of their papers we have counts for

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physics.ao-ph2026

Paleoclimate Boundary Conditions as an Out-of-Sample Test for the Forced Response of Ocean Climate Emulators

Adam Subel, Laure Zanna

AI weather emulators benefit from clear objectives and metrics, which have led to the rapid development of models that outperform traditional benchmarks. In contrast, long-term cli…

physics.ao-ph2026

FloeNet: A mass-conserving global sea ice emulator that generalizes across climates

William Gregory, Mitchell Bushuk, James Duncan +8

We introduce FloeNet, a machine-learning emulator trained on the Geophysical Fluid Dynamics Laboratory global sea ice model, SIS2. FloeNet is a mass-conserving model, emulating 6-h…

physics.ao-ph2025

SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators

James P. C. Duncan, Elynn Wu, Surya Dheeshjith +15

Traditional numerical global climate models simulate the full Earth system by exchanging boundary conditions between separate simulators of the atmosphere, ocean, sea ice, land sur…

physics.ao-ph2024★ 17 cited

Samudra: An AI Global Ocean Emulator for Climate

Surya Dheeshjith, Adam Subel, Alistair Adcroft +4

AI emulators for forecasting have emerged as powerful tools that can outperform conventional numerical predictions. The next frontier is to build emulators for long climate simulat…

physics.ao-ph2024★ 2 cited

An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing

Cem Gultekin, Adam Subel, Cheng Zhang +5

Due to computational constraints, climate simulations cannot resolve a range of small-scale physical processes, which have a significant impact on the large-scale evolution of the…

physics.ao-ph2024★ 5 cited

Transfer Learning for Emulating Ocean Climate Variability across forcing

Surya Dheeshjith, Adam Subel, Shubham Gupta +4

With the success of machine learning (ML) applied to climate reaching further every day, emulators have begun to show promise not only for weather but for multi-year time scales in…

physics.ao-ph2024★ 4 cited

Building Ocean Climate Emulators

Adam Subel, Laure Zanna

The current explosion in machine learning for climate has led to skilled, computationally cheap emulators for the atmosphere. However, the research for ocean emulators remains nasc…