CliMA/OceanParameterizations.jl

Machine learning (and uncertainty quantification?) of climate model parameterizations using differentiable (and probabilistic?) programming.

Stars: 22
Forks: 3
Open beginner issues: 0
Indexed issues: 5

Dominant language: Julia
License: MIT
Last GitHub push: Nov 12, 2021
Latest indexed: Sep 15, 2026
Contributing guide: No contributing guide
Code of conduct: No code of conduct
Beginner labels: No beginner labels indexed
PR merge metrics: No merged PRs in 30d

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5 open issues indexed

Doing all training/work with buoyancy instead of temperature? Open

CliMA/OceanParameterizations.jl#15 · 4 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Very long package precompile times Open

CliMA/OceanParameterizations.jl#24 · 0 comments · 1 reaction · 0 assignees · Indexed Sep 15, 2026
Use DataDeps.jl to depend on LESbrary.jl data Open

CliMA/OceanParameterizations.jl#25 · 1 comment · 1 reaction · 0 assignees · Indexed Sep 15, 2026
Decide on what's part of OceanParameterizations.jl and what should be in a script Open

CliMA/OceanParameterizations.jl#26 · 1 comment · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Useful modeling tools: Field abstraction, staggered grid functionality Open

CliMA/OceanParameterizations.jl#38 · 6 comments · 1 reaction · 0 assignees · Indexed Sep 15, 2026

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