Ocean model simulation data underlying the study "Choosing observables that capture critical slowing down before tipping points: A Fokker-Planck operator approach"

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. The data is part of a larger set of simulations, that were previously published along with the publication: 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) This data set can be accessed and downloaded here: https://sid.erda.dk/sharelink/gHT01VTYZM The subset of data used in the new publication is in the "mixed_noise" subfolder, as explained in the README file.