Articles | Volume 19, issue 9
https://doi.org/10.5194/gmd-19-3689-2026
https://doi.org/10.5194/gmd-19-3689-2026
Methods for assessment of models
 | 
05 May 2026
Methods for assessment of models |  | 05 May 2026

The Atlantic ocean's decadal variability in mid-Holocene simulations using Shannon's entropy

Iuri Gorenstein, Ilana Wainer, Francesco S. R. Pausata, Luciana F. Prado, Pedro L. Silva Dias, Allegra N. LeGrande, Clay R. Tabor, and William R. Peltier

Data sets

IuriGorenstein/Entropy_MH_ESM: EntropyESM_v1.0.0 Iuri Gorenstein https://doi.org/10.5281/zenodo.19595927

Model code and software

IuriGorenstein/Entropy_MH_ESM: EntropyESM_v1.0.0 Iuri Gorenstein https://doi.org/10.5281/zenodo.19595927

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Short summary
We introduce a new approach based on information theory to study climate variability using observational and model data. To showcase our methodology, we study the tropical and South Atlantic by examining broad patterns in ocean and rainfall data at decadal scales in four climate models under mid‐Holocene and pre‐industrial conditions and observations. Our findings show that large-scale patterns help explain long-term climate behavior.
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