MOPS-TMM: Global Ocean Biogeochemical Model Optimization Data

University of Oxford researchers Sophy Oliver et al. published this data archive in 2021 to accompany their paper on derivative-free optimization for global ocean biogeochemical models. The archive contains configuration files, run scripts, and iteration data from optimization experiments conducted with the MOPS model and Transport Matrix Method. It includes JSON configuration files, MATLAB plotting scripts, and edited source code specific to the experiments.

Use Cases

• Reproducing the optimization experiments described in Oliver et al. (2021) based on the provided JSON configuration files.
• Analyzing the iteration-by-iteration results of model optimization based on the experiment data files.
• Running the MOPS model with the Transport Matrix Method using the provided run scripts and edited code.
• Creating visualizations of optimization experiment results using the included MATLAB plotting scripts.

Strengths

• Data is directly linked to a peer-reviewed scientific publication from 2021.
• Archive includes the specific run scripts and edited code used to generate the published results.
• Contains configuration files for each optimization experiment, providing methodological transparency.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Oxford

Collection Method

Generated from optimization experiments with the MOPS ocean biogeochemical model.

Geography

Global ocean