OceanBioME.jl

OceanBioME.jl: A flexible environment for modelling the coupled interactions between ocean biogeochemistry and physics - Published in JOSS (2023)

https://github.com/oceanbiome/oceanbiome.jl

Science Score: 100.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 11 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • Committers with academic emails
    3 of 13 committers (23.1%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

biogeochemical-models biogeochemistry climate julia ocean ocean-modelling ocean-sciences oceanography

Keywords from Contributors

climate-change data-assimilation fluid-dynamics
Last synced: 4 months ago · JSON representation ·

Repository

🌊 🦠 🌿 A fast and flexible modelling environment written in Julia for modelling the coupled interactions between ocean biogeochemistry, carbonate chemistry, and physics

Basic Info
Statistics
  • Stars: 64
  • Watchers: 8
  • Forks: 23
  • Open Issues: 34
  • Releases: 35
Topics
biogeochemical-models biogeochemistry climate julia ocean ocean-modelling ocean-sciences oceanography
Created over 3 years ago · Last pushed 5 months ago
Metadata Files
Readme License Citation

README.md

DOI DOI MIT license ColPrac: Contributor's Guide on Collaborative Practices for Community Packages

Documentation Documentation Testing build status codecov

Ocean Biogeochemical Modelling Environment

Description

OceanBioME is a flexible biogeochemical modelling environment written in Julia for modelling the coupled interactions between ocean biology, carbonate chemistry, and physics. OceanBioME can be run as a stand-alone box model, or coupled with Oceananigans.jl to run as a 1D column model or with 2 and 3D physics.

OceanBioME was developed with generous support from the Centre for Climate Repair CCR and the Gordon and Betty Moore Foundation as a tool to study the effectiveness and impacts of ocean carbon dioxide removal (CDR) strategies.

Installation:

First, download and install Julia

From the Julia prompt (REPL), type: julia julia> using Pkg julia> Pkg.add("OceanBioME")

Running your first model

As a simple example lets run a Nutrient-Phytoplankton-Zooplankton-Detritus (NPZD) model in a two-dimensional simulation of a buoyancy front. This example requires Oceananigans, so we install that first:

```julia using Pkg; Pkg.add("Oceananigans")

using OceanBioME, Oceananigans using Oceananigans.Units

grid = RectilinearGrid(CPU(), size = (160, 32), extent = (10000meters, 500meters), topology = (Bounded, Flat, Bounded))

biogeochemistry = NutrientPhytoplanktonZooplanktonDetritus(; grid)

model = NonhydrostaticModel(; grid, biogeochemistry, advection = WENO(), closure = AnisotropicMinimumDissipation(), buoyancy = SeawaterBuoyancy(constant_salinity = true))

@inline front(x, z, μ, δ) = μ + δ * tanh((x - 7000 + 4 * z) / 500)

Pᵢ(x, z) = ifelse(z > -50, 0.03, 0.01) Nᵢ(x, z) = front(x, z, 2.5, -2) Tᵢ(x, z) = front(x, z, 9, 0.05)

set!(model, N = Nᵢ, P = Pᵢ, Z = Pᵢ, T = Tᵢ)

simulation = Simulation(model; Δt = 50, stop_time = 4days)

simulation.outputwriters[:tracers] = JLD2Writer(model, model.tracers, filename = "buoyancyfront.jld2", schedule = TimeInterval(24minute), overwrite_existing = true)

run!(simulation) ```

We can then visualise this: ```julia # Before running the visualization code below, make sure CairoMakie is installed: using Pkg; Pkg.add("CairoMakie") T = FieldTimeSeries("buoyancy_front.jld2", "T") N = FieldTimeSeries("buoyancy_front.jld2", "N") P = FieldTimeSeries("buoyancy_front.jld2", "P") xc, yc, zc = nodes(T) times = T.times using CairoMakie n = Observable(1) T_lims = (8.94, 9.06) N_lims = (0, 4.5) P_lims = (0.007, 0.02) Tₙ = @lift interior(T[$n], :, 1, :) Nₙ = @lift interior(N[$n], :, 1, :) Pₙ = @lift interior(P[$n], :, 1, :) fig = Figure(size = (1000, 520), fontsize = 20) title = @lift "t = $(prettytime(times[$n]))" Label(fig[0, :], title) axis_kwargs = (xlabel = "x (m)", ylabel = "z (m)", width = 770, yticks = [-400, -200, 0]) ax1 = Axis(fig[1, 1]; title = "Temperature (°C)", axis_kwargs...) ax2 = Axis(fig[2, 1]; title = "Nutrients concentration (mmol N / m³)",axis_kwargs...) ax3 = Axis(fig[3, 1]; title = "Phytoplankton concentration (mmol N / m³)", axis_kwargs...) hm1 = heatmap!(ax1, xc, zc, Tₙ, colorrange = T_lims, colormap = Reverse(:lajolla), interpolate = true) hm2 = heatmap!(ax2, xc, zc, Nₙ, colorrange = N_lims, colormap = Reverse(:bamako), interpolate = true) hm3 = heatmap!(ax3, xc, zc, Pₙ, colorrange = P_lims, colormap = Reverse(:bamako), interpolate = true) Colorbar(fig[1, 2], hm1, ticks = [8.95, 9.0, 9.05]) Colorbar(fig[2, 2], hm2, ticks = [0, 2, 4]) Colorbar(fig[3, 2], hm3, ticks = [0.01, 0.02, 0.03]) rowgap!(fig.layout, 0) record(fig, "buoyancy_front.gif", 1:length(times)) do i n[] = i end ```

https://github.com/OceanBioME/OceanBioME.jl/assets/26657828/d4a5dbc9-ffff-4ef0-8431-b9afc951142f

In this example OceanBioME is providing the biogeochemistry and the remainder is taken care of by Oceananigans. For comprehensive documentation of the physics modelling see Oceananigans' Documentation, and for biogeochemistry and other features we provide read below.

Using GPU

To run the same example on a GPU we just need to construct the grid on the GPU; the rest is taken care of!

Just replace CPU() with GPU() in the grid construction with everything else left unchanged:

julia grid = RectilinearGrid(GPU(), size = (256, 32), extent = (500meters, 100meters), topology = (Bounded, Flat, Bounded))

Documentation

See the documentation for full description of the software package and more examples, as well as full descriptions of the included models and parametrisations.

Contributing

If you're interested in contributing to the development of OceanBioME we would appreciate your help!

If you'd like to work on a new feature, or if you're new to open source and want to crowd-source projects that fit your interests, please start a discussion.

For more information check out our contributor's guide.

Citing

If you use OceanBioME as part of your research, teaching, or other activities, we would be grateful if you could cite our work below and mention the package by name.

bibtex @article{OceanBioMEJOSS, doi = {10.21105/joss.05669}, url = {https://doi.org/10.21105/joss.05669}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {90}, pages = {5669}, author = {Jago Strong-Wright and Si Chen and Navid C. Constantinou and Simone Silvestri and Gregory LeClaire Wagner and John R. Taylor}, title = {{OceanBioME.jl: A flexible environment for modelling the coupled interactions between ocean biogeochemistry and physics}}, journal = {Journal of Open Source Software} }

If on top of citing the JOSS paper above, you need to cite a specific version of the package then please cite its corresponding version from the Zenodo archive.

Owner

  • Name: OceanBioME
  • Login: OceanBioME
  • Kind: organization
  • Email: js2430@damtp.cam.ac.uk
  • Location: United Kingdom

Organisaiton for OceanBioME.jl, a flexible ocean biogeochemical modelling enviroment

JOSS Publication

OceanBioME.jl: A flexible environment for modelling the coupled interactions between ocean biogeochemistry and physics
Published
October 05, 2023
Volume 8, Issue 90, Page 5669
Authors
Jago Strong-Wright ORCID
Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom, Centre for Climate Repair, Cambridge, United Kingdom
Si Chen ORCID
Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom, Centre for Climate Repair, Cambridge, United Kingdom
Navid C. Constantinou ORCID
Australian National University, Australia, Australian Research Council Centre for Climate Extremes
Simone Silvestri ORCID
Massachusetts Institute of Technology, USA
Gregory LeClaire Wagner ORCID
Massachusetts Institute of Technology, USA
John R. Taylor ORCID
Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom, Centre for Climate Repair, Cambridge, United Kingdom
Editor
Kristen Thyng ORCID
Tags
julia biogeochemistry climate ocean carbon

Citation (CITATION.cff)

cff-version: "1.2.0"
authors:
- family-names: Strong-Wright
  given-names: Jago
  orcid: "https://orcid.org/0000-0002-7174-5283"
- family-names: Chen
  given-names: Si
  orcid: "https://orcid.org/0009-0002-1296-7166"
- family-names: Constantinou
  given-names: Navid C
  orcid: "https://orcid.org/0000-0002-8149-4094"
- family-names: Silvestri
  given-names: Simone
  orcid: "https://orcid.org/0000-0002-7156-946X"
- family-names: Wagner
  given-names: Gregory LeClaire
  orcid: "https://orcid.org/0000-0001-5317-2445"
- family-names: Taylor
  given-names: John R
  orcid: "https://orcid.org/0000-0002-1292-3756"
contact:
- family-names: Strong-Wright
  given-names: Jago
  orcid: "https://orcid.org/0000-0002-7174-5283"
doi: 10.5281/zenodo.8403490
message: If you use this software, please cite our article in the
  Journal of Open Source Software.
preferred-citation:
  authors:
  - family-names: Strong-Wright
    given-names: Jago
    orcid: "https://orcid.org/0000-0002-7174-5283"
  - family-names: Chen
    given-names: Si
    orcid: "https://orcid.org/0009-0002-1296-7166"
  - family-names: Constantinou
    given-names: Navid C
    orcid: "https://orcid.org/0000-0002-8149-4094"
  - family-names: Silvestri
    given-names: Simone
    orcid: "https://orcid.org/0000-0002-7156-946X"
  - family-names: Wagner
    given-names: Gregory LeClaire
    orcid: "https://orcid.org/0000-0001-5317-2445"
  - family-names: Taylor
    given-names: John R
    orcid: "https://orcid.org/0000-0002-1292-3756"
  date-published: 2023-10-05
  doi: 10.21105/joss.05669
  issn: 2475-9066
  issue: 90
  journal: Journal of Open Source Software
  publisher:
    name: Open Journals
  start: 5669
  title: "OceanBioME.jl: A flexible environment for modelling the
    coupled interactions between ocean biogeochemistry and physics"
  type: article
  url: "https://joss.theoj.org/papers/10.21105/joss.05669"
  volume: 8
title: "OceanBioME.jl: A flexible environment for modelling the coupled
  interactions between ocean biogeochemistry and physics"

GitHub Events

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  • Issues event: 25
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  • Issue comment event: 119
  • Push event: 163
  • Pull request review comment event: 23
  • Pull request review event: 35
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Last Year
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  • Member event: 2
  • Issue comment event: 119
  • Push event: 164
  • Pull request review comment event: 23
  • Pull request review event: 35
  • Pull request event: 30

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 2,017
  • Total Committers: 13
  • Avg Commits per committer: 155.154
  • Development Distribution Score (DDS): 0.313
Past Year
  • Commits: 458
  • Committers: 7
  • Avg Commits per committer: 65.429
  • Development Distribution Score (DDS): 0.214
Top Committers
Name Email Commits
Jago Stong-Wright j****w@p****m 1,386
Navid C. Constantinou n****y 304
ciadht c****9@c****k 90
johnryantaylor j****r@g****m 79
coding-code123 h****s@o****m 76
ali-ramadhan a****n@g****m 36
Pietro Monticone 3****e 22
Si Chen s****0@c****k 11
Si Chen c****1@g****m 5
simone-silvestri s****0@g****m 3
M. A. Kowalski m****0@c****k 3
iury simoes-sousa i****t@p****e 1
Jago Strong-Wright j****0@l****r 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 74
  • Total pull requests: 216
  • Average time to close issues: 2 months
  • Average time to close pull requests: 10 days
  • Total issue authors: 15
  • Total pull request authors: 14
  • Average comments per issue: 4.05
  • Average comments per pull request: 2.65
  • Merged pull requests: 158
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 30
  • Pull requests: 48
  • Average time to close issues: 11 days
  • Average time to close pull requests: 18 days
  • Issue authors: 8
  • Pull request authors: 6
  • Average comments per issue: 0.77
  • Average comments per pull request: 1.75
  • Merged pull requests: 24
  • Bot issues: 0
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Pull Request Authors
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Top Labels
Issue Labels
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Pull Request Labels
documentation (29) package (12) bug (7) GPU (6) science (5) enhancement (5) tests (4) feature (3) performance (3) oceananigans-bug (1) awaiting upstream change (1) joss (1) tech debt (1)

Packages

  • Total packages: 3
  • Total downloads:
    • julia 50 total
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 107
proxy.golang.org: github.com/oceanbiome/oceanbiome.jl
  • Versions: 36
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 4 months ago
proxy.golang.org: github.com/OceanBioME/OceanBioME.jl
  • Versions: 36
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 4 months ago
juliahub.com: OceanBioME

🌊 🦠 🌿 A fast and flexible modelling environment written in Julia for modelling the coupled interactions between ocean biogeochemistry, carbonate chemistry, and physics

  • Versions: 35
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 50 Total
Rankings
Dependent repos count: 9.9%
Dependent packages count: 38.9%
Average: 40.1%
Forks count: 53.5%
Stargazers count: 58.1%
Last synced: 5 months ago

Dependencies

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.github/workflows/TagBot.yml actions
  • JuliaRegistries/TagBot v1 composite
.github/workflows/docpreviewcleanup.yml actions
  • actions/checkout v2 composite