Benchmarking PEcAn Carbon Reanalysis Against TRENDY and CMIP Using ILAMB

PEcAn's North American carbon reanalysis assimilates satellite and ground observations into SIPNET at 1km resolution, but has never been directly compared to TRENDY or CMIP model ensembles. This project builds a reproducible Python pipeline using ILAMB to score PEcAn alongside all available TRENDY and CMIP models on the same observational benchmarks across five to six variables (AGB, LAI, soil moisture, soil carbon, GPP, NEE). Deliverables include ILAMB scorecards, a reusable ensemble calibration module comparing within-model vs across-model uncertainty, regional diagnostic notebooks, and updated temporal benchmarks contributed back to ILAMB.