CoCliCo workbench prototype repository with tutorials & exploratory tools for Coastal Climate Core Services
Notebooks can be opened in Google Colab.
Please follow the instructions to install the CoCliCo environment as outlined in the CoCliCo Data repository.
After step 13, please return to the instructions here again and clone the coclico-workbench repo by adding ("Add" --> "clone repository" --> "URL") URL in GitHub Desktop. You can find the URL under the green "code" button at the top of this repo. Please change the local path to something like: C:\Users***\Documents\GitHub (where you create the GitHub folder yourself). The repo will be cloned here.
Next, open VS Code and select the cloned coclico-workbench folder as your working directory. As a test, you can open IPCC_AR5_AR6_comparison.ipynb in notebooks. Select your kernel (the coclicodata env) in the top right corner and run cells by pressing shift-enter. You should be able to progress through the notebook without any errors.
Might you run into trouble with these installation guidelines, please reach out to @EtienneKras, @mathvansoest or @FlorisCalkoen for help.
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exploratory_tools: various notebooks that dive deep into user stories with very specific needs too detailed for the CoCliCo web platform; i.e. comparisons to High-Resolution data, High-End sea level rise scenarios, etc.
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notebooks: (DEPRECATION WARNING) various scripts that were developed in the first two years of the CoCliCo project. These scripts will be redistributed over exploratory tools and tutorials soon.
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tutorials: short notebooks describing how to use the CoCliCo Data repository (STAC)
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src/coclicodata: (OUTDATED) various scripts with basic functionalities that can be used for the tutorials & exploratory tools
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
coclico is licensed under the terms of the GNU general public license.
coclico template was created with
cookiecutter and and
the py-pkgs-cookiecutter template.