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README.md

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# MarineEcosystemNotebooks
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# Marine Ecosystem Notebooks
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[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/gaelforget/Cbiomes2019Notebooks/master)
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[![DOI](https://zenodo.org/badge/185446209.svg)](https://zenodo.org/badge/latestdoi/185446209)
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[Jupyter](https://jupyter.org) / [Julia](https://julialang.org) notebooks that use marine ecosystem models and observations. They illustrate:
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1. how differential equation solvers can be used to integrate models in time
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2. how ocean colour data and [CBIOMES](https://https://github.com/CBIOMES) model ouptut can be used jointly
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3. how model output and data available online are easily accessed in `julia`
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- 1. how differential equation solvers can be used to integrate models in time
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- 2. how ocean colour data and [CBIOMES](https://https://github.com/CBIOMES) model ouptut can be used jointly
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- 3. how model output and data available online are easily accessed in `julia`
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<p align="center">
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<img width="300" src="https://raw.githubusercontent.com/gaelforget/Cbiomes2019Notebooks/master/figs/cbiomes-01.png">
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<img width="400" src="https://github.com/gaelforget/MarineEcosystemNotebooks/blob/master/figs/RandomFlow.gif?raw=true">
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</p>
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## Differential Equations
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- `SolidBodyRotation.ipynb` simulates a single trajectory in an idealized flow field (e.g. solid body rotation)
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- `RandomFlow_fleet.ipynb` simulates a cloud of particles in a randomly generated eddy field (e.g. meso-scale).
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- 1. `SolidBodyRotation.ipynb` simulates a single trajectory in an idealized flow field (e.g. solid body rotation)
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- 2. `RandomFlow_fleet.ipynb` simulates a cloud of particles in a randomly generated eddy field (e.g. meso-scale).
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## Ocean Color And Biomes
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- `01. OceanColourAlgorithms.ipynb` provides simple recipes to compare [CBIOMES model output](https://github.com/gaelforget/CBIOMES) and [ocean color data](https://www.oceancolour.org).
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- `02. ModelReflectanceMap.ipynb` uses `Plots.jl` to map out [CBIOMES model output](https://github.com/gaelforget/CBIOMES) and [ocean color data](https://www.oceancolour.org).
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- `03. Classifications.ipynb` applies the [OC-CCI](https://www.oceancolour.org) classifier ([Jackson et al 2017](http://doi.org/10.1016/j.rse.2017.03.036)) over a 2D region.
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- `04-ClassificationTestbed.ipynb` puts together a series of variables aimed at testing various classification algorithms based on [CBIOMES model output](https://github.com/gaelforget/CBIOMES).
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- 1. `OceanColourAlgorithms.ipynb` provides simple recipes to compare [CBIOMES model output](https://github.com/gaelforget/CBIOMES) and [ocean color data](https://www.oceancolour.org).
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- 2. `ModelReflectanceMap.ipynb` uses `Plots.jl` to map out [CBIOMES model output](https://github.com/gaelforget/CBIOMES) and [ocean color data](https://www.oceancolour.org).
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- 3. `Classifications.ipynb` applies the [OC-CCI](https://www.oceancolour.org) classifier ([Jackson et al 2017](http://doi.org/10.1016/j.rse.2017.03.036)) over a 2D region.
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- 4. `ClassificationTestbed.ipynb` puts together a series of variables aimed at testing various classification algorithms based on [CBIOMES model output](https://github.com/gaelforget/CBIOMES).
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## Accessing Data
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## Accessing Data And Model
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- `01. DarwinModelOutput.ipynb` uses either (1) the [MIT-CBIOMES opendap](http://engaging-opendap.mit.edu:8080/las/) server or (2) the [Simons CMAP](https://cmap.readthedocs.io/en/latest/) data base to access model output from the [CBIOMES](https://cbiomes.org) project.
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- `02. GradientsCruiseData.ipynb` uses [Simons' CMAP](https://cmap.readthedocs.io/en/latest/) to download [SCOPE-Gradients](http://scope.soest.hawaii.edu/data/gradients/data/) and then plots the data in `julia` using the `Plots.jl` package.
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- `03. ArgoProfileData.ipynb` uses [Argo](https://doi.org/10.3389/fmars.2019.00439), obtained from the IFREMER [GDAC](http://www.argodatamgt.org/Access-to-data/Access-via-FTP-on-GDAC), to look at variability in temperature and salinity through time, taking a North Pacific region as an example.
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- 1. `DarwinModelOutput.ipynb` uses either (1) the [MIT-CBIOMES opendap](http://engaging-opendap.mit.edu:8080/las/) server or (2) the [Simons CMAP](https://cmap.readthedocs.io/en/latest/) data base to access model output from the [CBIOMES](https://cbiomes.org) project.
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- 2. `GradientsCruiseData.ipynb` uses [Simons' CMAP](https://cmap.readthedocs.io/en/latest/) to download [SCOPE-Gradients](http://scope.soest.hawaii.edu/data/gradients/data/) and then plots the data in `julia` using the `Plots.jl` package.
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- 3. `ArgoProfileData.ipynb` uses [Argo](https://doi.org/10.3389/fmars.2019.00439), obtained from the IFREMER [GDAC](http://www.argodatamgt.org/Access-to-data/Access-via-FTP-on-GDAC), to look at variability in temperature and salinity through time, taking a North Pacific region as an example.
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## _Notes:_

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