AIBECS.jl

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AWESOME OCIM toolbox ​

The AWESOME OCIM (AO) is a MATLAB toolbox by John, Liang, Weber, DeVries, Primeau, Moore, Holzer, and Mahowald (2020) that bundles OCIM1 transport matrices alongside auxiliary GEOTRACES, WOA, and Weber-and-John datasets. AIBECS does not expose the AO contents directly, but it can fetch and unpack the toolbox locally so you can browse the underlying files yourself.

Download and unpack ​

AO.download_and_unpack() registers a DataDep, downloads the upstream GitHub zip on first call, and returns the path of the unpacked tree:

julia
using AIBECS
AO_path = AO.download_and_unpack()

We hide the actual call from this rendered page so the docs build does not keep re-downloading from GitHub on every CI run.

What you get ​

Inside AO_path you will find:

  • OCIM1/ — MATLAB-format transport matrices and grid info,

  • data/ — bundled observational fields (GEOTRACES, WOA, Weber–John),

  • util/ — MATLAB helper scripts.

Refer to the AO citation in the docstring of AO when using any of the bundled data.

Caveat: GitHub-zip distribution ​

The AO is served as a GitHub archive zip rather than from a stable DOI mirror, so downloads depend on GitHub's availability and the upstream branch staying intact. If you plan to use the AO data heavily, copy the unpacked tree into your own storage. PRs to point this at a more durable mirror are welcome.

This page was generated using Literate.jl.