MarineEcosystemsJuliaCon2021.jl
Modeling Marine Ecosystems At Multiple Scales Using Julia.
https://github.com/JuliaOcean/MarineEcosystemsJuliaCon2021.jl
Category: Sustainable Development
Sub Category: Education
Last synced: about 13 hours ago
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Modeling Marine Ecosystems At Multiple Scales Using Julia
- Host: GitHub
- URL: https://github.com/JuliaOcean/MarineEcosystemsJuliaCon2021.jl
- Owner: JuliaOcean
- License: mit
- Created: 2021-06-25T09:23:57.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2024-04-13T14:52:44.000Z (about 1 year ago)
- Last Synced: 2025-04-23T10:41:57.542Z (25 days ago)
- Language: Julia
- Homepage:
- Size: 46.4 MB
- Stars: 23
- Watchers: 3
- Forks: 8
- Open Issues: 9
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
JuliaCon 2021 Workshop
Title: Modeling Marine Ecosystems At Multiple Scales Using Julia
Speakers: Gael Forget, Benoit Pasquier, Zhen Wu
2021/07/25 Workshop Recording
streaming : https://www.youtube.com/watch?v=UCIRrXz2ZS0
webpage : https://pretalx.com/juliacon2021/talk/FEZW9Q/
documentation : https://juliaocean.github.io/MarineEcosystemsJuliaCon2021.jl/dev/
Abstract
Life in the oceans is strongly connected to our climate. In this workshop, you will learn to use packages from the JuliaOcean and JuliaClimate organizations that provide a foundation for studying marine ecosystems across a wide range of scales. We will run agent-based models to explore individual microbes and processes that drive species interactions. On the other end of the model hierarchy, we will simulate planetary-scale transports that control ocean biogeography and climate change.
Notebooks
Any example found in the online documentation is most easily run using Pluto.jl .
Just copy the corresponding notebook url
link below and paste into the Pluto.jl interface (v0.15 or later).
- AIBECSExample.html (---> notebook url)
- PlanktonIndividualExample.html (---> notebook url)
- MITgcm_tutorial_global_oce_biogeo.html (---> notebook url)
- IndividualDisplacementsExample.html (---> notebook url)
Description
Packages covered in this workshop include:
- AIBECS.jl: global steady-state biogeochemistry and gridded transport models that run fast for long time scales (centuries or even millennia).
- PlanktonIndividuals.jl: local to global agent-based model, particularly suited to study microbial communities, plankton physiology, and nutrient cycles.
- MITgcmTools.jl: interface to full-featured, Fortran-based, general circulation model and its output (transports, chemistry, ecology, ocean, sea-ice, atmosphere, and more).
- IndividualDisplacements.jl: local to global particle tracking, for simulating dispersion, connectivity, transports in the ocean or atmosphere, etc.
The workshop was organized around tutorials and self-contained Pluto notebooks for the different packages.
Schedule
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Introduction of the topics covered, presenters, installation, and workshop roadmap (15 minutes).
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AIBECS.jl: concept, implementation, tutorial workthough (30 minutes + 10' for questions; this notebook URL)
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PlanktonIndividuals.jl: concept, implementation, tutorial workthough (30 minutes + 10' for questions; this notebook URL)
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ClimateModels.jl and MITgcmTools.jl: concept, implementation, tutorial workthough (20 minutes + 10' for questions; this notebook URL)
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ClimateModels.jl and IndividualDisplacements.jl: concept, implementation, tutorial workthough (20 minutes + 10' for questions; this notebook URL)
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Q&A, tutorials, etc wrap-up
Workshop materials are available ahead of time @ https://github.com/JuliaOcean/MarineEcosystemsJuliaCon2021.jl
Setup instructions
To run the notebooks of this workshop on your machine, you need to:
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Install Julia from https://julialang.org/ (latest version is v1.6.2)
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Start Julia
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Add Pluto.jl (v0.15.0 or later)**
This is simply done by typing, in the julia REPL,
import Pkg Pkg.add("Pluto")
Note: Please make sure you get version 0.15.0 or later.
If you get an older version then you can add Pluto in a clean, temporary, environment as follows:import Pkg Pkg.activate(mktempdir()) Pkg.add("Pluto")
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Use Pluto to run the notebooks.
This is as simple as copy-pasting one of the following lines, depending on which notebook you want to run:using Pluto Pluto.run(notebook="https://raw.githubusercontent.com/JuliaOcean/MarineEcosystemsJuliaCon2021.jl/main/src/AIBECSExample.jl")
Alternatively, instead of your own computer, you can just launch a Pluto instance in the cloud using JuliaHub.com, paste a notebook URL in the Pluto start page, and click open.
Owner metadata
- Name: JuliaOcean
- Login: JuliaOcean
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/41747359?v=4
- Repositories: 10
- Last ynced at: 2023-03-03T21:25:17.188Z
- Profile URL: https://github.com/JuliaOcean
GitHub Events
Total
Last Year
Committers metadata
Last synced: 8 days ago
Total Commits: 61
Total Committers: 3
Avg Commits per committer: 20.333
Development Distribution Score (DDS): 0.377
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
Name | Commits | |
---|---|---|
gaelforget | g****t@m****u | 38 |
Benoit Pasquier | b****c@g****m | 12 |
Zhen Wu | z****u@m****u | 11 |
Committer domains:
- mit.edu: 2
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 4
Total pull requests: 20
Average time to close issues: 5 months
Average time to close pull requests: about 1 month
Total issue authors: 2
Total pull request authors: 4
Average comments per issue: 0.25
Average comments per pull request: 1.7
Merged pull request: 12
Bot issues: 0
Bot pull requests: 6
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- briochemc (3)
- gaelforget (1)
Top Pull Request Authors
- github-actions[bot] (6)
- gaelforget (6)
- briochemc (6)
- zhenwu0728 (2)
Top Issue Labels
Top Pull Request Labels
Dependencies
- JuliaRegistries/TagBot v1 composite
- actions/cache v1 composite
- actions/checkout v2 composite
- codecov/codecov-action v1 composite
- julia-actions/julia-buildpkg v1 composite
- julia-actions/julia-processcoverage v1 composite
- julia-actions/julia-runtest v1 composite
- julia-actions/setup-julia v1 composite
Score: 4.564348191467836