SpatioTemporal Causal Network Diagnostics (ST-CND) introduces a data-driven framework to detect geographic tipping points by modeling spatial fields as time-evolving causal networks. It outperforms existing methods on sea-surface temperature benchmarks, achieving an AUROC of 0.783 and a critical-subnetwork IoU of 0.378 for the North Atlantic AMOC.
ST-CND Framework for Early Warning of Geographic Tipping Points
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