Author

G. Elsaesser

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Preprint Sep 2026

A Self-Diagnosing Structural Error-Aware Parameter Estimation Method for Earth System Models

We propose a fully automated, structural error-aware, interpretable climate model parameter estimation method that leverages Perturbed Parameter Ensembles (PPEs). It is based on history matching and aligns with an increasingly-used iterative simulation-emulation-calibration methodology. The method is motivated by the n...

Qingyuan Yang, A. Semie, Brian Medeiros et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Understanding Perturbed Parameter Ensemble Sensitivities Using A Contrastive Learning Approach

An explainable contrastive learning model that maps 5 monthly cloud and radiation fields into a shared representation space and demonstrates that explainable representations of climate fields can attribute model differences to specific variables, regions, seasons, and physical parameters.

Da Fan, D. J. Gagne, G. Elsaesser et al. · 0 citations