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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

L. Zanna

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Open access Sep 2026

Design and Implementation of a Data‐Driven Parameterization for Mesoscale Eddy‐Induced Transport: Idealized Two‐Layer Configurations

Mesoscale eddies contribute to ocean transport and are a major sink of available potential energy (APE). When unresolved or only partially resolved, their effects must be parameterized to simulate a realistic large‐scale state. Traditionally, this is achieved via the Gent‐McWilliams (GM) parameterization, which represe...

D. Balwada, Pavel Perezhogin, A. Adcroft et al. · 0 citations
Preprint Oct 2026

Multi-model ocean oxygen fields predicted by conditional diffusion models

Dissolved oxygen is important for the ocean's ecosystems and biogeochemical cycles. Yet, Earth System Models (ESMs) vary in their simulations of the present-day and future ocean oxygen inventory. To narrow down the uncertainty in estimates of ocean oxygen content, we train a conditional generative diffusion model on ou...

Linus Vogt, L. Zanna · 0 citations
Preprint Aug 2026

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

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 climate emulators must reliably reproduce forced responses over months to centuries, while relying on training objectives that span a small num...

Adam Subel, L. Zanna · 0 citations

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