xai-cons

Features and purpose

Perform observational constraint (Emergent Constraint, EC) analysis for climate research. Use historical observations to constrain future climate projections from CMIP6 multi-model ensembles, reducing prediction uncertainty. Includes inter-model regression analysis, EC relationship establishment, physical mechanism diagnostics (residual analysis, teleconnection pathways, Walker circulation, lead-lag correlation, SVD), uncertainty quantification (variance reduction, confidence intervals), and reliability assessment (binning analysis, random EC comparison). Use when conducting observational constraint analysis, CMIP multi-model evaluation, reducing prediction uncertainty, validating inter-model relationships, or climate teleconnection research. Applicable to any climate variable pairs (e.g., SST-TAS, precipitation-circulation).

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.