Canadian Land Surface Scheme including Biogeochemical Cycles
Benchmarking with AMBER

The Automated Model Benchmarking (AMBER) package evaluates the ability of CLASSIC to reproduce land surface processes by comparing model outputs against quasi-observational data sets derived from remote sensing products, eddy covariance flux tower measurements, and stream flow measurements. To summarize model performance across different statistical metrics AMBER employs a skill score system that was originally developed by the International Land Model Benchmarking (ILAMB) framework (Collier et al. 2018) [25]. The amber package was created to tailor the ILAMB skill score approach for CLASSIC model outputs.

AMBER is distributed via the CRAN