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This repository contains the data and code required for reproducing the results presented in the paper "Are terrestrial biosphere models fit for simulating the global land carbon sink?" by Seiler et al., 2021. The study evaluates an ensemble of terrestrial biosphere models (TRENDY; v9; S3 simulations) against a wide range of reference data using the Automated Model Benchmarking R package (AMBER; version 1.1.1). The only requirement for reproducing our results is access to a Linux machine with conda, an open-source package management system and environment management system, installed. Follow the steps described in the readme file to install AMBER and run the analysis. The repository also contains all output produced by our analysis.
Benchmarking Terrestrial Ecosystem Models; TRENDY; Global Carbon Budget; Automated Model Benchmarking R package (AMBER), Benchmarking Terrestrial Ecosystem Models; TRENDY; Global Carbon Budget; Automated Model Benchmarking R package (AMBER)
Benchmarking Terrestrial Ecosystem Models; TRENDY; Global Carbon Budget; Automated Model Benchmarking R package (AMBER), Benchmarking Terrestrial Ecosystem Models; TRENDY; Global Carbon Budget; Automated Model Benchmarking R package (AMBER)
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