Data for publication: Extracting coherent spatio-temporal modes of simulated multi-centennial AMOC variability under constraints that reflect sparsity of proxy data

Data used in the data analysis and to make the figures of the submitted paper: Bense et al. 2026. Extracting coherent spatio-temporal modes of simulatedmulti-centennial AMOC variability under constraints that reflect sparsity of proxy data. iLOVECLIM 3ka_transient model output iLOVECLIM_3ka_trans_temp_salt.nc : raw 4D temperature and salinity output (annual) 3ka_ADPro.nc : raw AMOC strength output (monthly) Masks: Mask_atl_arc_proxy_grid.nc :(for Fig 1.) masks_ilc_tb.nc : file with iLOVECLIM masks that are occasionally used in the analysis Processed data for the 3 experiments MC25, MC50, and MC75 (python dictionaries stored as pickle files, load with pickle into python). dict_freq_criteria_MC25.pkl : Contains frequency counts how often a mode is identified that meets the various criteria of an oscillation and is significant. Necessary to produce fig. 07 and A10. dict MCs_lads_only_140yr_25.pkl: Contains phase-lead counts for specific modes (e.g., 140yr) experiments (e.g., MC25) and different regions (e.g., S-GIN). Necessary to produce fig 8, A07,A08,A09 /EEOFs directory: Contains nc files necessary to create PCs and RCs. Contains files for each MSSA run that is NOT one of the MC Experiment runs. /MSSA_Spectra directory: Contains nc files necessary that contain the spectral information and significance test necesasry for e.g., making MSSA Spectra and MSSA overview figures. Contains files for each MSSA run that is NOT one of the MC Experiment runs.