Online particle-filter OSSE diagnostics and experiment code for AMOC reconstruction (pypfda v1.0)

Data and analysis/experiment code underlying Fallah et al., 'pypfda v1.0: an open-source, model-agnostic particle-filter engine for online sequential paleo data assimilation in Earth system models' (submitted to Geoscientific Model Development, 2026). Contains the perfect-model OSSE diagnostics (truth, FREE and DA ensemble AMOC and subpolar-gyre SST series for the 100-year campaign and the 300-year run; effective-sample-size, importance-weight and full genealogy histories; the 59-site pseudo-observation network), the CLIMBER-X second-core reconstruction, the eta x ESS sensitivity sweep, and the scripts that regenerate every figure and table, including the CM2Mc-BLING SLURM orchestrator (run_online_da.py) and the cost/weight module. The assimilation engine itself is the separate pypfda software record (doi:10.5281/zenodo.21281526). Raw coupled-model output (~16 TB restarts and the 3.25 GB CLIMBER-X truth history) is impractical to archive publicly and is available from the authors on request; see AVAILABILITY.md.