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Bibliographic Details
Main Author: Johannes, Lohmann
Format: Recurso digital
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Published: Zenodo 2025
Online Access:https://doi.org/10.5281/zenodo.17593820
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  • <p>Simulation data with the global ocean model Veros, which has been analyzed as part of the publication "Choosing observables that capture critical slowing down before tipping points: A Fokker-Planck operator approach", by Johannes Lohmann and Georg Gottwald.</p> <p>The data is part of a larger set of simulations, that were previously published along with the publication: </p> <p>J. Lohmann, A. B. Hansen, A. Lovo, R. Chapman, F. Bouchet, and V. Lucarini, The role of edge states for early-warning of tipping points, Proc. Roy. Soc A 481, 20240753 (2025)</p> <p>This data set can be accessed and downloaded here: <a href="https://sid.erda.dk/sharelink/gHT01VTYZM" target="_blank" rel="noopener">https://sid.erda.dk/sharelink/gHT01VTYZM</a></p> <p>The subset of data used in the new publication is in the "mixed_noise" subfolder, as explained in the README file.</p>