Climate

Flexible generation of daily Earth system model projections across radiative forcing scenarios

Yu Huang, Sebastian Bathiany, Shangshang Yang, Philipp Hess, Michael Aich, Niklas Boers

Featured July 29, 2026

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Simply

By combining physics-based response theory with smart generative AI, the paper creates detailed daily climate predictions for any future scenario, even those never simulated before, making climate change impacts easier to understand.

In depth

The paper introduces a novel framework, Response Theory-Informed Generator (RIG), that combines Ruelle's response theory with generative diffusion models. This approach efficiently extracts the physical forced response to radiative forcing from coarse-resolution Earth system model (ESM) outputs and uses it to guide a generative model. This allows for the creation of consistent, high-resolution daily global temperature and precipitation projections for arbitrary radiative forcing scenarios, overcoming the computational limitations of traditional ESMs and enabling comprehensive uncertainty quantification.

Key Takeaways

1
The RIG framework integrates response theory and generative machine learning to produce high-resolution daily climate projections for any radiative forcing scenario, extending beyond pre-computed ESM outputs.
2
The approach generates bias-corrected, high-resolution daily fields (0.25° spatial resolution) with statistical properties consistent with observational data, improving the representation of extreme events and spatiotemporal variability.
3
RIG enables efficient ensemble boosting and long-term projections (e.g., up to 2300), facilitating thorough uncertainty quantification and detailed impact assessments without requiring costly additional ESM simulations.

Conceptual Flow

HIGH LEVEL

Methodology: Combining Physics and AI

The paper uses a physics rule to get the big picture of climate change, then uses a smart drawing program to fill in the daily weather details, making sure everything matches up.

Climate Change Scenarios

Coarse Climate Data

Combine Physics & AI

Detailed Daily Weather

Results: Flexible, Detailed Climate Forecasts

This new method can predict daily weather for any future climate scenario, even ones that were too hard to predict before, and it matches real-world observations better.

Limited Old Forecasts

Rough Daily Weather

Generate New Forecasts

Many Detailed Daily Forecasts

Matches Real Weather